Publications

Explainability in Process Mining: A Framework for Improved Decision-Making

Explaining Bayesian Networks in Natural Language using Factor Arguments. Evaluation in the medical domain

27th European Conference on Artificial Intelligence (ECAI 2024)

Proceedings of the Workshop on the History of AI in Europe (WHAI@EU)

Randomised-crossover clinical trial on the substantivity of a single application of a gel containing chlorhexidine and o-cymen-5-ol on the oral biofilm and saliva

Measuring and implementing lexical alignment: A systematic literature review

Applications of Computer Vision, 2nd Edition

Open Generative Large Language Models for Galician

Early Vision on the Focal-Plane With High Dynamic Range Pixels

A Macro-Pixel Based RGBZ CMOS Image Sensor for Simultaneous Color and Multifrequency Depth Image Acquisition

Overview of eRisk at CLEF 2024: Early Risk Prediction on the Internet (Extended Overview)

Overview of eRisk 2024: Early Risk Prediction on the Internet

Enseñando pensamiento computacional con perspectiva de género en las escuelas

ResNeTS: a ResNet for Time Series Analysis of Sentinel-2 Data Applied to Grassland Plant-Biodiversity Prediction

Low-Voltage CMOS Capacitor-Less LDOs: Bulk-Driven Versus Gate-Driven Comparative Study

Efficient phylogenetic tree inference for massive taxonomic datasets: harnessing the power of a server to analyze 1 million taxa

Are Knowledge Graphs Ready for the Real World? Challenges and Perspective

Operationalizing Explainable Artificial Intelligence in the European Union Regulatory Ecosystem

HPC Solutions for ALS Point Cloud Processing in Pathfinding and Powerline Detection and Characterization

Population-based detection of children ASD/ADHD comorbidity from atypical sensory processing

Deep learning with simulated laser scanning data for 3D point cloud classification

Region-based multispectral image registration on heterogeneous computing platforms

5-bit Signed SRAM-Based In-Memory Computing Cell

Web Search or Conversation with an Artificial Intelligence? Analysis of Misinformation and Relevance in the Case of Radon Gas

MPI4All: Universal Binding Generation for MPI Parallel Programming

Large Language Models for Binary Health-Related Question Answering: A Zero- and Few-Shot Evaluation

A User Study on the Utility of Context-Aware Explanations for Assisting Data Scientists in Error Analysis of Fuzzy Decision Trees

A new thread-level speculative automatic parallelization model and library based on duplicate code execution

Quick Hidden Layer Size Tuning in ELM for Classification Problems

Enriquecimiento de explicaciones interactivas en asistentes conversacionales usando redes de restricciones temporales difusas

High-performant and easy-to-use solutions for complex parallel problems

Improving Aggressiveness Detection using a Data Augmentation Technique based on a Diffusion Language Model

XX CONFERENCIA DE LA ASOCIACIÓN ESPAÑOLA PARA LA INTELIGENCIA ARTIFICIAL (CAEPIA 20/21)

Redes convolucionales basadas en escalado uniforme de dimensiones para la clasificación de imágenes multiespectrales

GAN-based data augmentation for the classification of remote sensing multispectral images

Enriching Interactive Explanations with Fuzzy Temporal Constraint Networks

Abriendo la caja negra de la IA: Avances en Inteligencia Artificial Explicable (XAI)

TextFocus: Assessing the Faithfulness of Feature Attribution Methods Explanations in Natural Language Processing

MultiParaDetox: Extending Text Detoxification with Parallel Data to New Languages

Toxicity Classification in Ukrainian

SCOOP All the Constraints’ Flavours for Your Knowledge Graph

Inteligencia Artificial y Métodos Big Data para el estudio masivo de datos en Internet: Nuevas metodologías para el análisis de información sanitaria en línea

Powerline Detection and Characterization in General-Purpose Airborne LiDAR Surveys

Propagating Ontology Changes to Declarative Mappings in Construction of Knowledge Graphs

Multi3Generation: Multitask, Multilingual, and Multimodal Language Generation

ParanoIA

Exploring the Challenges of Behaviour Change Language Classification: A Study on Semi-Supervised Learning and the Impact of Pseudo-Labelled Data

Introducing User Feedback-Based Counterfactual Explanations (UFCE)

ReproHum #0927-3: Reproducing The Human Evaluation Of The DExperts Controlled Text Generation Method

Sexism Detection on a Data Diet

Live Demonstration: A Mixed-Mode Signal CMOS Chip for Hyperdimensional Computing

Semi-Supervised Learning in the Field of Conversational Agents and Motivational Interviewing

LudoTrack: Web Mining, Search Technologies and Natural Language Processing for the Early Detection of Pathological Gambling

Comparison of Clustering Algorithms for Knowledge Discovery in Social Media Publications: A Case Study of Mental Health Analysis

PrimerEvalPy: a tool for in-silico evaluation of primers for targeting the microbiome

Model Performance Prediction for Hyperparameter Opti- mization of Deep Learning Models Using High Performance Computing and Quantum Annealing

High Performance and Disruptive Computing in Remote Sensing: The Third Edition of the School Organized by the HDCRS Working Group of the GRSS Earth Science Informatics Technical Committee [Technical Committees]

CPU and GPU oriented optimizations for LiDAR data processing

REACH: Researching Efficient Alignment-based Conformance Checking

VERONA: A python library for benchmarking deep learning in business process monitoring

Closed-form Gaussian spread estimation for small and large support vector classification

An Empirical Study on the Number of Items in Human Evaluation of Automatically Generated Texts

Empowering the SDM-RDFizer Tool for Scaling Up to Complex Knowledge Graph Creation Pipelines

Customizable orodispersible films: Inkjet printing and data matrix encoding for personalized hydrocortisone dosing

A user study on people’s perception to the credibility of online health information

eRisk 2024: Depression, Anorexia, and Eating Disorder Challenges

Delving into the Depths: Evaluating Depression Severity through BDI-biased Summaries

CorpusNÓS: A massive Galician corpus for training large language models

Declarative generation of RDF-star graphs from heterogeneous data

DepressMind: A Depression Surveillance System for Social Media Analysis

Design of segmentation algorithms to recognize interested cells in microscopy biological images

Increasing manually annotated resources for Galician: the Parallel Universal Dependencies Treebank

A new path towards ultra-high efficient laser power converters: Silicon carbide-based multijunction devices

Assessing Intel OneAPI capabilities and cloud-performance for heterogeneous computing

Process-to-Text: A Framework for the Automatic Generation of Natural Language Descriptions of Processes

OralImmunoAnalyser: a software tool to immunohistochemical assessment of oral leukoplakia using image segmentation and classification models

HOPBAS10K: A 98×98 Pixels CMOS Vision Sensor for Background Subtraction

Using heterogeneous computing and edge computing to accelerate anomaly detection in remotely sensed multispectral images

3D POINTCLOUD PROCESSING USING ARTIFICIAL INTELLIGENCE AND HIGH PERFORMANCE COMPUTING TECHNIQUES

Narrativas culturais sobre Santiago de Compostela: técnicas de análise automática mediante Processamento de Linguagem Natural

Software BreastAnalyser for the semi-automatic analysis of breast cancer immunohistochemical images

Software-assisted identification of non-native pitch elements for Russian-speaking learners of Spanish

An operational framework for guiding human evaluation in Explainable and Trustworthy AI

QPU integration in OpenCL for heterogeneous programming

Cognitive and clinical predictors of a long-term course in obsessive compulsive disorder: A machine learning approach in a prospective cohort study

An Unsupervised Perplexity-Based Method for Boilerplate Removal

CDS Free Frame Differencing Event Vision Pixel with Lateral Overflow Capacitor for Dynamic Range Extension

Global shutter CMOS vision sensors and event cameras for on-chip dynamic information

Can we predict behavior problems in children with autism?

Simultaneous Multifrequency Demodulation for Single-Shot Multiple-Path ToF Imaging

Desenvolvimento e avaliação de um modelo NER no domínio da análise cultural e do turismo

Deep Learning Models for Predictive Monitoring of Business Processes

Technologies for extracting and analysing the credibility of health-related online content

Estudio estadístico de fluctuaciones en transistores MOSFET multipuerta ultraescalados

Crawford, Kate (2023). Atlas de IA. Poder, política y costes planetarios de la inteligencia artificial Barcelona: Ned Ediciones

XSD2SHACL: Capturing RDF Constraints from XML Schema

Re-Construction Impact on Metadata Representation Models

Contextualized word senses: from attention to compositionality

Inteligencia Artificial para el análisis de información sobre riesgos para la salud en Internet

The RML Ontology: A Community-Driven Modular Redesign After a Decade of Experience in Mapping Heterogeneous Data to RDF

Investigating Human-Centered Perspectives in Explainable Artificial Intelligence

CL-XAI: Toward enriched Cognitive Learning with eXplainable Artificial Intelligence

GIPS: Geometry-Inspired Passive ToF Sensing for 3D Depth Reconstruction

Recent Advances in Computational Time-of-Flight Imaging

Beyond plain toxic: building datasets for detection of flammable topics and inappropriate statements

Maximum output power point tracking for photovoltaic energy harvesting systems: Mathematical model and circuit implementation

Error syntax aware augmentation of feedback comment generation dataset

Optimization of thermionic cooling semiconductor heterostructures with deep learning techniques

Downsampling GAN for Small Object Data Augmentation

Promoting equality in higher education computer programming courses through cooperative learning

A Summer School Session on Mastering Geospatial Artificial Intelligence: From Data Production to Artificial Intelligence Foundation Model Development and Downstream Applications

Argumentative Conversational Agents for Explainable Artificial Intelligence

Implementación paralela del algoritmo HSI-MSER para el registro de imágenes hiperespectrales

Overview of eRisk 2023: Early Risk Prediction on the Internet

Overview of eRisk at CLEF 2023: Early Risk Prediction on the Internet (extended overview)

The Droid You're Looking For: C-4PM, a Conversational Agent for Declarative Process Mining

A Framework for the Automatic Description of Healthcare Processes in Natural Language: Application in an Aortic Stenosis Integrated Care Process

MSCF: Multi-Scale Canny Filter to Recognize Cells in Microscopic Images

Estudio del contexto de ejecución en monitorización predictiva de procesos

The role of Speculations for Explainable and Trustworthy Artificial Intelligence: A use case on Art Genre Classification

Some lessons learned reproducing human evaluation of a data-to-text system

Detecting Text Formality: A Study of Text Classification Approaches

Health Information on the Internet: Relevant Search Results about Radon

An accurate machine learning model to study the impact of realistic metal grain granularity on Nanosheet FETs

A Test Dataset of Offensive Malay Language by a Cyberbullying Detection Model on Instagram Using Support Vector Machine

Kalman Filter-Driven Blind Source Localization for Passive 3D ToF Imaging

Personality trait analysis during the COVID-19 pandemic: a comparative study on social media

Digital forensic analysis of the private mode of browsers on Android

Short-term anti-plaque effect of a cymenol mouthwash analysed using the DenTiUS Deep Plaque software: a randomised clinical trial

An empirically supported approach to the treatment of imprecision in vague reasoning

Photogeneration and Performance Optimization (PhPO): A New Algorithm to Improve the Performance of Vertical Epitaxial Hetero-Structure Architecture Laser Power Converters

BigSeqKit: a parallel Big Data toolkit to process FASTA and FASTQ files at scale

CT-based radiomics to predict KRAS mutation in CRC patients using a machine learning algorithm: a retrospective study

Beyond Prediction Similarity: ShapGAP for Evaluating Faithful Surrogate Models in XAI

A machine learning approach to model the impact of line edge roughness on gate-all-around nanowire FETs while reducing the carbon footprint

Visual Multi-Object Tracking through Deep Learning

Técnicas de análisis forense para la evaluación de la privacidad e integridad de la información: navegadores web y ataques de ransomware

A Confusion Matrix for Evaluating Feature Attribution Methods

Prospective comparison of SURF and binary keypoint descriptors for fast hyperspectral remote sensing registration

Efficient Query over Large Datasets of Analytical Chemistry

CONFORMANCE CHECKING-BASED CONCEPT DRIFT DETECTION IN PROCESS MINING

Maximum Output Power Point Tracking for Low Power Photovoltaic Energy Harvesting Systems

Improving the performance of photovoltaic laser power converters using automatic global optimization techniques

A general toolkit for advanced semiconductor transistors: from simulation to machine learning

Accelerated Extinction Profiles for Anomaly Detection in Fluvial Ecosystems

Learning context-based representations of events in complex processes

S2 -LOR: Supervised Stream Learning for Object Recognition

Few-Shot Image Classification for Automatic COVID-19 Diagnosis

Relation networks for few-shot video object detection

An ensemble-based phenotype classifier to diagnose Crohn’s disease from 16s rRNA gene sequences

Recovering from Memory the Encryption Keys Used by Ransomware Targeting Windows and Linux Systems

Depth Estimation and Image Restoration by Deep Learning from Defocused Images

Don’t Lose the Message While Paraphrasing: A Study on Content Preserving Style Transfer

Embedding Graph Convolutional Networks in Recurrent Neural Networks for Predictive Monitoring

Exploring the balance between interpretability and performance with carefully designed constrainable neural additive models

Aprendizaxe de materias de programación e intelixencia artificial con perspectiva de xénero

Accurate Modelling of a GaAs-Based Laser Power Converter

Analysis of the statistical impact of variability in a 12 nm nanosheet FET

Consensus Techniques for Unsupervised Binary Change Detection Using Multi-Scale Segmentation Detectors for Land Cover Vegetation Images

ResBaGAN: a Residual Balancing GAN with data augmentation for forest maping

Two-dimensional visualization of classification and regression problems. Automatic prediction of behavior from sensory data in autism spectrum disorder

Quantum Recurrent Neural Networks for Multivariate Time Series Prediction

Dynamic workload optimisation on NUMA and heterogeneous architectures

Information-Seeking Dialogue for Explainable Artificial Intelligence: Modelling and Analytics

An Art Painting Style Explainable Classifier grounded on Logical and Commonsense Reasoning

An accurate neural network model to study threshold voltage variability due to metal grain granularity in Nanosheet FETs

Optimizing AI-based HEP algorithms using HPC and Quantum Computing

Ensemble and continual federated learning for classification tasks.

Techniques for the extraction of spatial and spectral information in the supervised classification of hyperspectral imagery for land-cover applications

OPERA-gSAM: Big Data Processing Framework for UMI Sequencing at High Scalability and Efficiency

Euro-Par 2022: Parallel Processing Workshops

DisorBERT: A Double Domain Adaptation Model for Detecting Signs of Mental Disorders in Social Media

Hypothesis Testing for Matched Pairs with Missing Data by Maximum Mean Discrepancy: An Application to Continuous Glucose Monitoring

Towards Ultra-High Efficiency Laser Power Converters: 3C- SiC-Based Vertical Epitaxial Hetero-Structure Architecture Devices

AI literacy in K-12: a systematic literature review

Explainable Artificial Intelligence (XAI): What we know and what is left to attain Trustworthy Artificial Intelligence

A systematic overview of dental methods for age assessment in living individuals: from traditional to artificial intelligence-based approaches

Impact of 16S rRNA Gene Redundancy and Primer Pair Selection on the Quantification and Classification of Oral Microbiota in Next-Generation Sequencing

eRisk 2023: Depression, Pathological Gambling, and Eating Disorder Challenges

Handgrip strength conditional tolerance regions suggest the need for personalized sarcopenia definition: an analysis of the American NHANES database

Improving the Reliability of Health Information Credibility Assessments

The Role of Lexical Alignment in Human Understanding of Explanations by Conversational Agents

In silico evaluation and selection of the best 16S rRNA gene primers for use in next-generation sequencing to detect oral bacteria and archaea

Trustworthy Artificial Intelligence in Alzheimer’s Disease: State of the Art, Opportunities, and Challenges

Validation Analysis of Panoramic Dental Application (PDApp) Software as a Tool for Predicting Third Molar Eruption Based on Panoramic Radiograph Images

Leveraging posts’ and authors’ metadata to spot several forms of abusive comments in Twitter

Simultaneous fabrication of multiple tablets within seconds using tomographic volumetric 3D printing

DESARROLLO DE NUEVAS ARQUITECTURAS DE CÉLULAS SOLARES VERTICALES PARA ULTRA-ALTOS NIVELES DE CONCENTRACIÓN

Characterizing zebra crossing zones using LiDAR data

Identification of Asthma Phenotypes in the Spanish MEGA Cohort Study Using Cluster Analysis

Estudio y optimización de herramientas numéricas para simulación de dispositivos semiconductores

Deep Learning for Predictive Business Process Monitoring: Review and Benchmark

Efficient Access to Heterogeneous Environmental Data Repositories Through Linked Data Standards

Contributions on metric spaces with applications in personalized medicine

New technologies to bridge the gap between High Performance Computing (HPC) and Big Data

La Llei Paz Andrade i l’ús del portuguès per a la traducció automàtica al gallec

A few‑shot approach for COVID‑19 screening in standard and portable chest X‑ray images

Low-Power Techniques on a CMOS Vision Sensor Chip for Event Generation by Frame Differencing with High Dynamic Range

An empirical study on how humans appreciate automated counterfactual explanations which embrace imprecise information

Passive 3D Time-of-Flight Imaging leveraging VLC Infrastructure

Evaluating Contextualized Vectors from both Large Language Models and Compositional Strategies”

Security by Design for Big Data Frameworks over Cloud Computing

Recent Advances in Digital Humanities: Romance Language Applications.

A Hybrid CUDA, OpenMP, and MPI Parallel TCA-based Domain Adaptation for Classification of Very High-Resolution Remote Sensing Images

Spatio-temporal convolutional neural networks for video object detection

Ultra Fast Classification and Regression of High-Dimensional Problems Projected on 2D

Continual federated machine learning under concept drift

CiTIUS at the TREC 2022 Health Misinformation Track

A comprehensive Pelgrom-based on-current variability model for FinFET, NWFET and NSFET

Real-Time Siamese Multiple Object Tracker with Enhanced Proposals

Study and comparison of different Machine Learning-based approaches to solve the inverse problem in Electrical Impedance Tomographies

Ultra-Low-Power Low-Input-Voltage Charge Pump for Micro-Energy Harvesting Applications

Pseudo-Passive Time-of-Flight Imaging: Simultaneous Illumination, Communication, and 3D Sensing

A intelixencia artificial fiable: moda ou necesidade?

Guidance in storytelling tables supports emotional development in kindergartners

Pelgrom-based predictive model to estimate metal grain granularity and line edge roughness in advanced multigate MOSFETs

Federated Learning from Demonstration for Active Assistance to Smart Wheelchair Users

A General-Purpose CMOS Vision Sensor with In-Pixel 5-bit Convolutional Layer Computation

Fast Time-Domain Super-Resolution for Single-Shot Multi-Path ToF Imaging

2HDED:NET for joint depth estimation and image deblurring from a single out-of-focus image

Guidelines for Bimodal Virtual Assistants

Virtual LiDAR simulation as a high performance computing challenge: Towards HPC HELIOS++

Fast Support Vector Classifier for large-scale classification problems

Providing female role models in STEM higher education careers, a teaching experience

Impacto de la segmentación en superpíxeles sobre clasificadores de imágenes multiespectrales basados en aprendizaje profundo

An exploration of the semantic knowledge in vector models: polysemy, synonymy and idiomaticity

Proxecto Nós: Artificial Intelligence at the Service of the Galician Language

Alineamiento de imágenes multiespectrales de teledetección en un clúster de GPUs

ICA2TEXT: A system for the automatic natural language description of air quality time series

Automatic detection of Alzheimer’s disease progression: An efficient information fusion approach with heterogeneous ensemble classifiers

Early Detection of Mental Health Disorders by Social Media Monitoring

The Challenge of Early Risk Prediction on the Internet

The future of eRisk

A Survey of the First Five Years of eRisk: Findings and Conclusions

Early Risk Prediction of Mental Health Disorders

A Framework for the Automatic Description of Healthcare Processes in Natural Language: Application in an Aortic Stenosis Integrated Care Process

XAS: Automatic yet eXplainable Age and Sex determination by combining imprecise per-tooth predictions

IDALib: a Python library for efficient image data augmentation

TAQE: A Data Modeling Framework for Traffic and Air Quality Applications in Smart Cities

A full data augmentation pipeline for small object detection based on generative adversarial networks

A comprehensive Pelgrom-based on-current variability model for FinFET, NWFET and NSFET

Framework para la Descripción Automática de Procesos en Lenguaje Natural: Aplicación en un Proceso Asistencial Integrado de Estenosis Aórtica

Overview of eRisk 2022: Early Risk Prediction on the Internet

Overview of eRisk 2022: Early Risk Prediction on the Internet (Extended Overview)

Kinematic screws and dual quaternion based motion controllers

Robotic Motion Coordination Based on a Geometric Deformation Measure

Fast Multi-Object Tracking with Feature Pyramid and Region Proposal Networks

A survey on machine learning in array databases

Laser power converter architectures based on 3C-SiC with efficiencies > 80%

Non-IID data and Continual Learning processes in Federated Learning: A long road ahead

Low-cost mobile mapping system solution for traffic sign segmentation using Azure Kinect

Do we still need Human Assessors? Prompt based GPT-3 User Simulation in Conversational AI

Estimating Knee Movement Patterns of Recreational Runners Across Training Sessions Using Multilevel Functional Regression Models

Multi-GPU registration of high-resolution multispectral images using HSI-KAZE in a cluster system

A Multistage Retrieval System for Health-related Misinformation Detection

Dealing with hallucination and omission in neural Natural Language Generation: A use case on meteorology

Measuring Model Understandability by means of Shapley Additive Explanations

FCE: Feedback based Counterfactual Explanations for Explainable AI

SemEval-2022 Task 2: Multilingual Idiomaticity Detection and Sentence Embedding

LARGE-SCALE CLASSIFICATION BASED ON SUPPORT VECTOR MACHINE

Incremental Learning from Low-labelled Stream Data in Open-Set Video Face Recognition

Enseñando a diseñar sistemas software para la sostenibilidad: una experiencia docente

An Optimized Superpixel-based Domain Adaptation Scheme for River Ecosystem Classification

Social Minder: a tool for social media monitoring and its use for detecting COVID-19 misinformation

A neural machine translation system for Galician from transliterated Portuguese text

Perspectiva de género en Inteligencia Artificial, una necesidad

Ultra-low power CMOS circuit design for energy harvesting applications

The Nós Project: Opening routes for the Galician language in the field of language technologies

Automatic marbling prediction of sliced dry-cured ham using image segmentation, texture analysis and regression

Euro-Par 2021: Parallel Processing Workshops Euro-Par 2021 International Workshops, Lisbon, Portugal, August 30-31, 2021, Revised Selected Papers

The emerging potential of interactive virtual reality in drug discovery

Design of a 5-bit SRAM-based In-Memory Computing Cell for Deep Learning Models

Group VR experiences can produce ego attenuation and connectedness comparable to psychedelics

Large-area and low-cost force/tactile capacitive sensor for soft robotic applications

A 2-Tap Macro-Pixel-Based Indirect ToF CMOS Image Sensor for Multi-Frequency Demodulation

A computational psycholinguistic evaluation of the syntactic abilities of Galician BERT models at the interface of dependency resolution and training time

New neural networks based on extreme learning machine

A machine learning approach in autism spectrum disorders: from sensory processing to behavior problems

Fuzzy quantified protoforms for data-to-text systems: a new model with applications

Smart Toys, Smart Tangibles, Robots and other Smart Things for Children

Adaptive Deformation Control for Elastic Linear Objects

Real-Time Focused Extraction of Social Media Users

Spatiotemporal tubelet feature aggregation and object linking for small object detection in videos

Using Machine Learning Techniques to Predict Adolescents’ Involvement in Family Conflict

A Unified Framework to Improve the Interoperability between HPC and Big Data Languages and Programming Models

eRisk 2022: pathological gambling, depression and eating disorder challenges

High-Performance and Disruptive Computing in Remote Sensing: HDCRS-A New Working Group of the GRSS Earth Science Informatics Technical Committee

CIMAR, NIMAR, and LMMA: Novel algorithms for thread and memory migrations in user space on NUMA systems using hardware counters

Dependence of the vertical - tunnel - junction GaAs solar cell on concentration and temperature

A Targeted Assessment of the Syntactic Abilities of Transformer Models for Galician-Portuguese

SemantiGal: An online visualizer of vector representations for Galician

Ideal kernel tuning: fast and scalable selection of the radial basis kernel spread for support vector classification

Interpretable Clinical Time-Series Modeling with Intelligent Feature Selection for Early Prediction of Antimicrobial Multidrug Resistance

Enabling Efficient Distributed Spatial Join on Large Scale Vector-Raster Data Lakes

Tactile-Based Task Definition Through Edge Contact Formation Setpoints for Object Exploration and Manipulation

Meta-heuristics for generation of linguistic descriptions of weather data: experimental comparison of two approaches

A day at the races: Using best arm identification algorithms to reduce the cost of information retrieval user studies

Dynamic Evaluation of Deformable Object Grasping

A Framework for the Automatic Description of Healthcare Processes in Natural Language: Application in an aortic stenosis integrated care process

Deep learning for chronological age and sex prediction from dental panoramic radiographs

Automatic generation of textual descriptions in data-to-text systems using a fuzzy temporal ontology: Application in air quality index data series

Estimating Remaining Time of Business Processes with structural attributes of the traces

Viability Study of Machine Learning-Based Prediction of COVID-19 Pandemic Impact in Obsessive-Compulsive Disorder Patients

In-Silico Detection of Oral Prokaryotic Species With Highly Similar 16S rRNA Sequence Segments Using Different Primer Pairs

Design of CGAN Models for Multispectral Reconstruction in Remote Sensing

Agrupamiento dinámico de complejos QRS en tiempo real

Explainable and Trustworthy Artificial Intelligence

Digital forensic analysis methodology for private browsing: Firefox and Chrome on Linux as a case study

A highly optimized skeleton for unbalanced and deep divide‑and‑conquer algorithms on multi‑core clusters

Quick extreme learning machine for large-scale classification

Stochastic embeddings of dynamical phenomena through variational autoencoders

GeoSPARQL query support for scientific raster array data

Tracking More Than 100 Arbitrary Objects at 25 FPS Through Deep Learning

Concept drift detection and adaptation for federated and continual learning

A fast and optimal pathfinder using airborne LiDAR data

Uso de tecnologias linguı́sticas para estudar a evolução dos sufixos -ÇOM e -VEL no galego-português medieval a partir de corpora históricos

A New Multispectral Data Augmentation Technique Based on Data Imputation

The TRASGO Project. Present Status and Results

Incremental Learning through Unsupervised Adaptation in Video Face Recognition

Review of soft fluidic actuators: classification and materials modeling analysis

Proposal of a Single-Shot Multi-Frame Multi-Frequency CMOS ToF Sensor

An 11 mA Capacitor-Less LDO with 3.08 nA Quiescent Current and SSF-Based Adaptive Biasing

Parallelization and Optimization of Iterative Solvers On High Performance Architectures

Efficient Registration of Multi and Hyperspectral Remote Sensing Images on GPU

HSI-MSER: Hyperspectral Image Registration Algorithm based on MSER and SIFT

Extreme learning machine with confidence interval based bias initialization

Virtual laser scanning with HELIOS++: A novel take on ray tracing-based simulation of topographic full-waveform 3D laser scanning

CiTIUS at the TREC 2021 Health Misinformation Track

0.6-V-VIN 7.0-nA-IQ 0.75-mA-IL CMOS Capacitor-Less LDO for Low-Voltage Micro-Energy-Harvested Supplies

A fault-tolerant clustering algorithm for processing data from multiple streams

Analysing Agreement Among Different Evaluators in God Class and Feature Envy Detection

PrimerEvalPy: a tool for in-silico evaluation of primers for targeting the microbiome

Proceedings of the 1st ACM SIGSPATIAL International Workshop on Searching and Mining Large Collectiions of Geospatial Data (GeoSearch 2021).

General framework for the optimization of the human-robot collaboration decision-making process through the ability to change performance metrics

Exploring human-guided strategies for reaction network exploration: Interactive molecular dynamics in virtual reality as a tool for citizen scientists

GaAs Vertical-Tunnel-Junction Converter for Ultra-High Laser Power Transfer

A Conformance Checking-based Approach for Sudden Drift Detection in Business Processes

A comparison of machine learning algorithms on design smell detection using balanced and imbalanced dataset: A study of God class

Behavioral-based algorithms for process model simplification

Una metodología semiautomática de anotación de entidades nombradas para la creación de un gold standard

Spatio-Temporal Object Detection from UAV On-Board Cameras

Embedded ethics to teach machine learning courses: an experience

Impact of metal grain granularity on three gate-all-around advanced architectures

Simulations of Statistical Variability in n-Type FinFET, Nanowire, and Nanosheet FETs

Hybrid Intelligence Strategies for Identifying, Classifying and Analyzing Political Bots

Una nueva técnica de aumentado de datos para la clasificación de imágenes hiperespectrales mediante CNN

Influencia del algoritmo de segmentación en la precisión y el coste computacional de la detección de cambios multiclase sobre imágenes hiperespectrales

XIX CONFERENCIA DE LA ASOCIACIÓN ESPAÑOLA PARA LA INTELIGENCIA ARTIFICIAL (CAEPIA 20/21)

Prometheus: Harnessing Fuzzy Logic and Natural Language for Human-centric Explainable Artificial Intelligence

Evaluación empírica de modelos de cuantificación borrosa aplicados a un agente conversacional

Un sistema para la descripción automática en lenguaje natural de gráficas de sectores: aplicación en datos de calidad del aire

Comparing Traditional and Neural Approaches for detecting Health-related Misinformation

BrEarth: Tecnología de almacenes de datos para el cerebro de la tierra

CiTIUS at FakeDeS 2021: A Hybrid Strategy for Fake News Detection

Overview of eRisk 2021: Early Risk Prediction on the Internet (extended overview)

Overview of eRisk 2021: Early Risk Prediction on the Internet

In-silico Selection of the Best 16S rRNA Gene Primers for Detecting Oral Bacteria and Archaea

Predictive Potential of Anatomical Tooth Relationships for Determining Chronological Age Using a Semi-automated Approach

Redundancy of 16S rRNA Genes in Genomes from Oral Bacteria and Archaea

HDR 4T-APS Pixel for Event Generation by Frame Differencing

A new data augmentation technique for the CNN-based classification of hyperspectral imagery

Discovery of SARS-CoV-2 Mpro peptide inhibitors from modelling substrate and ligand binding

COVID-19: Estimation of the transmission dynamics in Spain using a stochastic simulator and Black-Box optimization techniques

Semiconductor devices variability: modelling, characterization and data management

Automated description of the mandible shape by deep learning

ZFTool: A Software for Automatic Quantification of Cancer Cell Mass Evolution in Zebrafish

A Soft Robotic Gripper With an Active Palm and Reconfigurable Fingers for Fully Dexterous In-Hand Manipulation

Assessing the Representations of Idiomaticity in Vector Models with a Noun Compound Dataset Labeled at Type and Token Levels

Exploring the Representation of Word Meanings in Context: A Case Study on Homonymy and Synonymy

STDnet-ST: Spatio-Temporal ConvNet for Small Object Detection

AutoMeKin2021: An open-source program for automated reaction discovery

ChemDyME: Kinetically Steered, Automated Mechanism Generation through Combined Molecular Dynamics and Master Equation Calculations

Towards a Self-sufficient Face Verification System

A Framework for Analyzing Fairness, Accountability, Transparency and Ethics: A Use-case in Banking Services

Comparing area-based and feature-based methods for co-registration of multispectral bands on GPU

Fuzzy Temporal Protoforms for the Quantitative Description of Processes in Natural Language

Estimating the Reliability of Health-related Search Results

Deep learning based classification techniques for hyperspectral images in real time

Watershed Monitoring in Galicia from UAV Multispectral Imagery Using Advanced Texture Methods

Automatic linguistic reporting of customer activity patterns in open malls

Build 3D Abstractions with Wireframes

Colaboración entre docentes de una universidad alemana y una española para el desarrollo de seminarios prácticos acerca de la credibilidad de la información

A 0.6 V, ultra-low power, 1060 μm² self-biased PTAT voltage generator for implantable biomedical devices

Book Review: Embeddings in Natural Language Processing. Theory and Advances in Vector Representations of Meaning

Smart Toys++: Exploiting the Social Connectedness for Playing and Learning

Compositional Distributional Semantics with Syntactic Dependencies and Selectional Preferences

STERapp: Semiautomatic Software for Stereological Analysis. Application in the Estimation of Fish Fecundity

Unha experiencia da introducción da perspectiva de xénero en materias de Intelixencia Artificial

Threshold voltage variability study in a 12 nm gate length Nanosheet FET

Real-Time Multiple Object Visual Tracking for Embedded GPU Systems

A new AXT format for an efficient SpMV product using AVX-512 instructions and CUDA

Low Power CMOS vision sensor for foreground segmentation

Efficient access methods for very large distributed graph databases

Bases para el diseño y aplicación de una infraestructura de datos espaciales del patrimonio arqueológico

Glucodensities: A new representation of glucose profiles using distributional data analysis

LIPG endothelial lipase and breast cancer risk by subtypes

On the road to a unified Big Data and HPC framework

A Parallel Skeleton for Divide-and-conquer Unbalanced and Deep Problems

Design of Real-Time Multiple Object Visual Detection and Tracking Systems

Load balanced heterogeneous parallelism for finite difference problems on image denoising

Exoscarne: Assistive Strategies for an Industrial Meat Cutting System Based on Physical Human-Robot Interaction

Perspectiva de género en Inteligencia Artificial

Virtual laser scanning (VLS) in forestry – Investigating appropriate 3D forest representations for LiDAR simulations with HELIOS++

Probing for Idiomaticity in Vector Space Models

Short-term anchor linking and long-term self-guided attention for video object detection

Using Dependency-Based Contextualization for transferring Passive Constructions from English to Spanish

Exploratory study of the impact of project domain and size category on the detection of the God class design smell

Bertinho: Galician BERT Representations

Martini 3: a general purpose force field for coarse-grained molecular dynamics

Reliability Prediction for Health-related Content: A Replicability Study

eRisk 2021: Pathological Gambling, Self-Harm and Depression Challenges

Factual and Counterfactual Explanation of Fuzzy Information Granules

A Survey of Computational Methods for Online Mental State Assessment on Social Media

Cost-effective Identification of On-topic Search Queries using Multi-Armed Bandits

Testing the Tests: Simulation of Rankings to Compare Statistical Significance Tests in Information Retrieval Evaluation

Fixed-Cost Pooling Strategies

Enriching linguistic descriptions of data: A framework for composite protoforms

GPU accelerated waterpixel algorithm for superpixel segmentation of hyperspectral images

Modelling of the adsorption of urea herbicides by tropical soils with an Adaptive-Neural-based Fuzzy Inference System

Explainable Fuzzy Systems - Paving the Way from Interpretable Fuzzy Systems to Explainable AI Systems

Comparing Dependency-based Compositional Models with Contextualized Word Embedding

A Multilayer Multimodal Detection and Prediction Model based on Explainable Artificial Intelligence for Alzheimer’s Disease

LBMA and IMAR2: Weighted lottery based migration strategies for NUMA multiprocessing servers

IHP: a dynamic heterogeneous parallel scheme for iterative or time-step methods-- image denoising as case study

A Survey of Contrastive and Counterfactual Explanation Generation Methods for Explainable Artificial Intelligence

SiamMT: Real-Time Arbitrary Multi-Object Tracking

Correlation-based ConvNet for Small Object Detection in Videos

An Adaptive Video-to-Video Face Identification System Based on Self-Training

Robust Hybrid Deep Learning Models for Alzheimer’s Progression Detection

Does the threshold voltage extraction method affect device variability?

From Efficient Airborne LiDAR Data Processing and Classification to 3D Point Cloud Visualisation

Towards Harnessing Natural Language Generation to Explain Black-box Models

Proceedings of the 2nd Workshop on Interactive Natural Language Technology for Explainable Artificial Intelligence (NL4XAI)

Deep Learning for Small Object Detection

Explaining Bayesian Networks in Natural Language: State of the Art and Challenges

A proof of concept on triangular test evaluation for Natural Language Generation

CitiusNLP at SemEval-2020 Task 3: Comparing Two Approaches for Word Vector Contextualization

Dual-Window Superpixel Data Augmentation for Hyperspectral Image Classification

Plenary Talk on "Interactive Natural Language Technology for Human-Centric Explainable Artificial Intelligence"

Euro-Par 2020: Parallel Processing Workshops

Compact CMOS Class-AB Output Stage With Robust Behavior Against PVT Variations

Proceedings of the Workshop on Interactive Natural Language Technology for Explainable Artificial Intelligence (NL4XAI)

Estimation of customer activity patterns in open malls by means of combining localization and process mining techniques

Concept Drift Detection and Adaptation for Robotics and Mobile Devices in Federated and Continual Settings

CiTIUS at the TREC 2020 Health Misinformation Track

Interactive molecular dynamics in virtual reality (iMD-VR) is an effective tool for flexible substrate and inhibitor docking to the SARS-CoV-2 main protease

Interactive molecular dynamics in virtual reality is an effective tool for flexible substrate and inhibitor docking to the SARS-CoV-2 main protease

Fast Distributed kNN Graph Construction Using Auto-tuned Locality-sensitive Hashing

Medidas de distância entre línguas baseadas em corpus Aplicação à linguística histórica do galego, português, espanhol e inglês

CystAnalyser: A new software tool for the automatic detection and quantification of cysts in Polycystic Kidney and Liver Disease, and other cystic disorders

Gender perspective in Artificial Intelligence (AI)

Plenary Talk on "Paving the way from Fuzzy Logic towards Explainable Artificial Intelligence"

Functional regression models for the prediction of Covid-19

Training atomic neural networks using fragment-based data generated in virtual reality

Artificial intelligence within the interplay between natural and artificial computation: Advances in data science, trends and applications

GPU-Accelerated Registration of Hyperspectral Images Using KAZE Features

1.88 nA Quiescent Current Capacitor-Less LDO with Adaptive Biasing Based on a SSF Absolute Voltage Difference Meter

Big Data in metagenomics: Apache Spark vs MPI

Understanding Implicit User Feedback from Multisensorial and Physiological Data: A case study

Emobook: A Multimedia Life Story Book App for Reminiscence Intervention

Repairing Alignments of Process Models

Overview of eRisk 2020: Early Risk Prediction on the Internet

La confianza en las máquinas inteligentes

Overview of eRisk at CLEF 2020: Early Risk Prediction on the Internet (extended overview)

Exploring the MSER-based hyperspectral remote sensing image registration

An Attribute-Based Access Control for Cloud-Enabled Industrial Smart Vehicles

Ensembles of Choice-based models for Recommender Systems

CT Radiomics in Colorectal Cancer: Detection of KRAS Mutation Using Texture Analysis and Machine Learning

Resolving Donor–Acceptor Interfaces and Charge Carrier Energy Levels of Organic Semiconductors with Polar Side Chains

Interactive Natural Language Technology for Explainable Artificial Intelligence

Evaluation of the effects of a virtual intervention programme on cognitive flexibility, inhibitory control and basic math skills in childhood education

Process-To-Text: a framework for the quantitative description of processes in natural language

DenTiUS Plaque, a Web-Based Application for the Quantification of Bacterial Plaque: Development and Usability Study

TrustE-VC: Trustworthy Evaluation Framework for Industrial Connected Vehicles in the Cloud

RoI Feature Propagation for Video Object Detection

An experimental study on the use of fuzzy quantification models for linguistic descriptions of data

Towards deep learning reliable gender estimation from dental panoramic radiographs

The Impact of Linguistic Knowledge in Different Strategies to Learn Cross-Lingual Distributional Models

Proceedings of the 1st Doctoral Consortium at the European Conference on Artificial Intelligence (DC-ECAI 2020)

24th European Conference on Artificial Intelligence

Texture Extraction Techniques for the Classification of Vegetation Species in Hyperspectral Imagery: Bag of Words Approach Based on Superpixels

Neutrophil to lymphocyte ratio and breast cancer risk: analysis by subtype and potential interactions

A framework for evaluating security, trust, and efficiency of sustainable Cloud Computing for Big Data processing

Superpixel Segmentation of Remote Sensing Images using Waterpixels in Commodity Hardware

Teaching Explainable Artificial Intelligence to High School Students

Empirical Study of Fuzzy Quantification Models for Linguistic Descriptions of Meteorological Data

Building Explanations for Fuzzy Decision Trees with the ExpliClas Software

Experimental Study on Generating Multi-modal Explanations of Black-box Classifiers in terms of Gray-box Classifiers

Generation and Evaluation of Factual and Counterfactual Explanations for Decision Trees and Fuzzy Rule-based Classifiers

Elaboración dun modelo de argumentación automática baseada en relacións lingüísticas imprecisas: unha contribución á CWW

Understanding complex process models by abstracting infrequent behavior

Piezo1 forms specific, functionally important interactions with phosphoinositides and cholesterol

Titratable Martini model for constant pH simulations

A Divide-and-conquer Parallel Skeleton for Unbalanced and Deep Problems

Collective disambiguation in entity linking based on topic coherence in semantic graphs

Aprendizaje experiencial e introducción de estresores en el diseño de una práctica centrada en procesos de gestión

eXtream: a System for Real-time Monitoring of Dynamic Web Sources

Deep Neural Networks for Chronological Age Estimation from OPG images

Distância diacrónica automática entre variantes diatópicas do português e do espanhol

A Big Data Platform for Real Time Analysis of Signs of Depression in Social Media

Designing a smart toy interactive setting for creating stories

Next-Generation Big Data Federation Access Control: A Reference Model

Euro-Par 2019: Parallel Processing Workshops. Euro-Par 2019 International Workshops, Göttingen, Germany, August 26-30, 2019, Revised Selected Papers

Automatic Extraction of Road Points from Airborne LiDAR Based on Bidirectional Skewness Balancing

VeryFastTree: speeding up the estimation of phylogenies for large alignments through parallelization and vectorization strategies

Cloud Computing for Climate Modelling: Evaluation, Challenges and Benefits

Smart Toys, Smart Tangibles, Robots and other Smart Things for Children

Statistical and Mathematical Modeling in the Coronavirus Epidemic: Some Considerations to Minimize Biases in the Results

Estimación do tempo restante en procesos de negocio utilizando información estrutural das trazas.

CMOS Vision Sensor for Background Subtraction

A mixed-signal spatio-temporal signal classifier for on-sensor spike sorting

Motion Planning under Uncertainty for Autonomous Navigation of Mobile Robots and UAVs

Measuring diachronic language distance using perplexity: Application to English, Portuguese, and Spanish

Fatigue Induced Changes in Muscle Strength and Gait Following Two Different Intensity, Energy Expenditure Matched Runs

Dual resolution membrane simulations using virtual sites

On the Integration of Machine Learning and Array Databases

Numerical optimisation and recombination effects on the vertical-tunnel-junction (VTJ) GaAs solar cell up to 10,000 suns

eRisk 2020: Self-harm and Depression Challenges

On-Chip Solar Energy Harvester and PMU with Cold Start-Up and Regulated Output Voltage for Biomedical Applications

Ignis: an efficient and scalable multi-language Big Data framework

Autonomous navigation for UAVs managing motion and sensing uncertainty

Towards a Non-Functional Requirements Discovery Approach for Persuasive Systems

STDnet: Exploiting high resolution feature maps for small object detection

A New Hardware Counters Based Thread Migration Strategy for NUMA Systems

A Big Data Approach to Metagenomics for All-Food-Sequencing

A Methodology to Measure the Diachronic Language Distance between Three Languages Based on Perplexity

Big Data and large-scale Analytics: Efficiency of Sustainable Scalability and Security of Centralized Clouds and Edge Deployment Architectures

Capturing Choline–Aromatics Cation− π Interactions in the MARTINI Force Field

Walking recognition in mobile devices

Transient cavity dynamics and divergence from the Stokes–Einstein equation in organic aerosol

Máquinas que venden y compran a máquinas

Smart Environmental Data Infrastructures: Bridging the Gap between Earth Sciences and Citizens

Ultra-efficient intrinsic-vertical-tunnel-junction structures for next-generation concentrator solar cells

Using Score Distributions to Compare Statistical Significance Tests for Information Retrieval Evaluation

A comparison of machine learning algorithms for forecasting indoor temperature in smart buildings

Design methodology of a 0.7 V, 64.5 pW @ 36°C, 1830 μm² Subthreshold Voltage Reference for Implantable Devices

Learning from the Individuals and the Crowd in Robotics and Mobile Devices

Indoor positioning for smartphones without infrastructure and user adaptable (doctorado industrial)

Supervised Classifiers to Identify Hate Speech on English and Spanish Tweets

Design of Fuzzy Controllers for Embedded Systems with JFML

Paving the way towards counterfactual generation in argumentative conversational agents

Simplification of Complex Process Models by Abstracting Infrequent Behaviour

SID4VAM: A Benchmark Dataset with Synthetic Images for Visual Attention Modeling

Una aproximación basada en Machine Learning para evaluar la influencia del tamaño del proyecto en la detección de God Class.

INVERBIS: minería de datos aplicada a la mejora de procesos

Qualifying and Quantifying Uncertainty in Digital Humanities: A Fuzzy-Logic Approach

Contextualized Translations of Phrasal Verbs with Distributional Compositional Semantics and Monolingual Corpora

Extended Anisotropic Diffusion Profiles in GPU for Hyperspectral Imagery

Real-time visual detection and tracking system for traffic monitoring

Prediction of Maximal Oxygen Uptake From Submaximal Exercise Testing in Chronic Respiratory Patients. New Perspectives

TCANet for Domain Adaptation of Hyperspectral Images

Cross-lingual Diachronic Distance: Application to Portuguese and Spanish

Fast Ground Filtering of Airborne LiDAR Data Based on Iterative Scan-Line Spline Interpolation

NER and Open Information Extraction for Portuguese: Notebook for IberLEF 2019 Portuguese Named Entity Recognition and Relation Extraction Tasks

A Vector-Based Classification Approach for Remaining Time Prediction in Business Processes

Towards high-level fuzzy control specifications for building automation systems

In situ Evolution Pattern of Dental Plaque Through Plaque Indices by Imaging Analysis

Explainable Artificial Intelligence for Human-Centric Data Analysis in Virtual Learning Environments

Implementación de un algoritmo de filtrado de terreno a partir de datos LiDAR sobre SoC Zynq

Computación eficiente de perfiles de difusión para la extracción de información espectral-espacial

Caracterización vial en base a nubes de puntos LiDAR terrestre con MPI

Robust and fast scene recognition in robotics through the automatic identification of meaningful images

Discovering Latent Depression Patterns in Online Social Media

Content Determination for Natural Language Descriptions of Predictive Bayesian Networks

Naive-Bayesian Classification for Bot Detection in Twitter Notebook for PAN at CLEF 2019

Overview of eRisk at CLEF 2019: Early Risk Prediction on the Internet (extended overview)

Explainable Artificial Intelligence for Kids

Overview of eRisk 2019. Early Risk Prediction on the Internet

Texture-based analysis of hydrographical basins with multispectral imagery

A new hardware counters based thread migration strategy for NUMA systems

A Bayesian approach to simultaneously characterize the stochastic and deterministic components of a system

Pattern-based Simplification of Process Models

Factores que tienen en cuenta los desarrolladores en la priorización de smells para su corrección: conclusiones después de una réplica

Consultas eficientes sobre registros de eventos basadas en análisis de conformidad

A Real-Time Processing Stand-Alone Multiple Object Visual Tracking System

Experimental IR Meets Multilinguality, Multimodality, and Interaction

Metainformation scenarios in Digital Humanities: Characterisation and conceptual modelling strategies

Vacuum annealing effect on physical properties and electrical circuit model of ZnO:Sn/SnO<inf>2</inf>:F bilayer structure

Application of Functional Data Analysis for the Prediction of Maximum Heart Rate

Dataflow Execution of Hierarchically Tiled Arrays

Generating Synthetic Images for Visual Attention Modeling

Combined nanoscale KPFM characterization and device simulation for the evaluation of the MOSFET variability related to metal gate workfunction fluctuations

Big Data Security Frameworks Meet the Intelligent Transportation Systems Challenges

Common Security Criteria for Vehicular Clouds and Internet of Vehicles Evaluation and Selection

Unsupervised Compositional Translation of Multiword Expressions

A multi-method simulation toolbox to study performance and variability of nanowire FETs

Working Notes of CLEF 2019 - Conference and Labs of the Evaluation Forum

SURF-based registration for hyperspectral images

Teaching Enzyme Catalysis Using Interactive Molecular Dynamics in Virtual Reality

Uma utilidade para o reconhecimento de topónimos em documentos medievais

A new approach to study the relative age effect with the use of additive logistic regression models: A case of study of FIFA football tournaments (1908-2012)

Indoor Positioning and Guiding for Drivers

Assessing the Influence of Size Category of the Project in God Class Detection, an Experimental Approach based on Machine Learning (MLA)

A dependency-based approach to word contextualization using compositional distributional semantics

Assisting Forensic Identification through Unsupervised Information Extraction of Free Text Autopsy Reports: The Disappearances Cases during the Brazilian Military Dictatorship

DISEÑO Y OPTIMIZACIÓN DE UNA INFRAESTRUCTURA COMPUTACIONAL BASADA EN LA NUBE

Incremental Learning Techniques within a Self-updating Approach for Face Verification in Video-Surveillance

Real-Time Traffic Monitoring with Occlusion Handling

Ultralow power voltage reference circuit for implantable devices in standard CMOS technology

Dataset Bias Exposed in Face Verification

Exploring the Registration of Remote Sensing Images using HSI-KAZE in Graphical Units

Identifying Causal Relations in Legal Documents with Dependency Syntactic Analysis

ExpliClas: Automatic Generation of Explanations in Natural Language for Weka Classifiers

Py4JFML: A Python wrapper for using the IEEE Std 1855-2016 through JFML

Fabrication and Characterization of Sensitive Room Temperature NO<inf>2</inf> Gas Sensor Based on ZnSnO<inf>3</inf> Thin Film

An Improved Version of the Classical Banister Model to Predict Changes in Physical Condition

Influence of Architectural Features of the SNC-4 Mode of the Intel Xeon Phi KNL on Matrix Multiplication

Detector of small objects with application to the license plate symbols

Clustering Hydrographic Conditions in Galician Estuaries

People and Machines: Partners in Innovation

Interactive molecular dynamics in virtual reality from quantum chemistry to drug binding: An open-source multi-person framework

From line matching to 3D abstraction

CiTIUS-COLE at SemEval -2019 Task 5: Combining Linguistic Features to Identify Hate Speech Against Immigrants and Women on Multilingual Tweets

The use of an Explainable Artificial Intelligence Tool for Decision-making Support in Virtual Learning Environments

A Pluggable Authentication Module for Big Data Federation Architecture

Automatic Detection and Characterization of Power Lines and their Surroundings Using LiDAR Data

Magnetic Resonance Imaging, texture analysis and regression techniques to non-destructively predict the quality characteristics of meat pieces

Feature selection and evolutionary rule learning for Big Data in smart building energy management

A Nichesourcing Framework Applied to Software Sustainability Requirements

Time-of-Flight Pixel with Homodyne Phase Demodulation in Standard CMOS Technology

Live Demonstration: Deep Learning-Based Visual Tracking of Multiple Objects on a Low-Power Embedded System

On-Chip Solar Cell and PMU on the Same Substrate with Cold Start-Up from nW and 80 dB of Input Power Range for Biomedical Applications

Metodología de aprendizaje electrónico móvil (m-learning) mediante gamificación para desarrollar competencias transversales en titulaciones universitarias

Graduated Fidelity Lattices for Motion Planning under Uncertainty

Robust Heading Estimation in Mobile Phones

Conceptualization and Non-Relational Implementation of Ontological and Epistemic Vagueness of Information in Digital Humanities

A New Calibration Process for a Homogeneous Cyclorama Illumination in Virtual TV Sets

Micro-Energy Harvesting System including a PMU and a Solar Cell on the same Substrate with Cold Start-Up from 2.38 nW and Input Power Range up to 10μW using Continuous MPPT

Early detection of risks on the Internet: an exploratory campaign

Improving design smell detection for adoption in industry

Light Micro-Energy Harvesting in Standard CMOS Technologies

Leveraging Bitmap Indexing for Subgraph Searching

Multimodal and Multidimensional Geodata Interaction and Visualization

Strategies for building high quality bilingual lexicons from comparable corpora

Training Neural Nets to Learn Reactive Potential Energy Surfaces Using Interactive Quantum Chemistry in Virtual Reality

Euro-Par 2018: Parallel Processing Workshops. Euro-Par 2018 International Workshops, Turin, Italy, August 27-28, 2018, Revised Selected Papers.

Workfunction fluctuations in polycrystalline TiN observed with KPFM and their impact on MOSFETs variability

Natural interaction in virtual TV sets through the synergistic operation of low cost sensors

A multi-device version of the HYFMGPU algorithm for hyperspectral scenes registration

Modeling human perceptions in e-Commerce applications. A case study on business-to-consumers websites in the textile and fashion sector

Extended attribute profiles on GPU applied to hyperspectral image classification

Wavelet-based Multicomponent Denoising Profile for the Classification of Hyperspectral Images

Deep Learning-Based Multiple Object Visual Tracking on Embedded System for IoT and Mobile Edge Computing Applications

Procesamiento eficiente de nubes de puntos LiDAR aéreo para aplicaciones de caracterización del terreno

From Zadeh's computing with words towards explainable Artificial Intelligence

Paving the way to explainable Artificial Intelligence with fuzzy modeling

Impact of Gate Edge Roughness Variability on FinFET and Gate-All-Around Nanowire FET

Towards Real-Time Automatic Stress Detection for Office Workplaces

Drift-Diffusion Versus Monte Carlo Simulated ON-Current Variability in Nanowire FETs

Scene wireframes sketching for Unmanned Aerial Vehicles

Designing a Playful Robot Application for Second Language Learning

Explorando métodos non-supervisados para calcular a similitude semántica textual

Gesture recognition system application to early childhood education

An extensive experimental survey of regression methods

Vertical-Tunnel-Junction (VTJ) Solar Cell for Ultra-High Light Concentrations (>2000 Suns)

AXC: A new format to perform the SpMV oriented to Intel Xeon Phi architecture in OpenCL

Comparing Supervised Machine Learning Strategies and Linguistic Features to Search for Very Negative Opinions

Psychophysical evaluation of individual low-level feature influences on visual attention.

Sparse Matrix Classification on Imbalanced Datasets using Convolutional Neural Networks

Mining Frequent Patterns in Process Models

The role of interpretable fuzzy systems in designing cognitive cities

Impact of threshold voltage extraction methods on semiconductor device variability

Fuzzy-Based Language Grounding of Geographical References: From Writers to Readers

When to Stop Making Relevance Judgments? A Study of Stopping Methods for Building Information Retrieval Test Collections

Euro-Par 2017: Parallel Processing Workshops. Lecture Notes in Computer Science (Volume 10659). Euro-Par 2017 International Workshops, Santiago de Compostela, Spain, August 28-29, 2017, Revised Selected Papers

Proceedings of the Workshop on Intelligent Interactive Systems and Language Generation

JFML: A Java Library to Design Fuzzy Logic Systems According to the IEEE Std 1855-2016

Towards a Fast and Accurate EIT Inverse Problem Solver: A Machine Learning Approach

Corpus-based Construction of Sentiment Lexicon to Identify Extreme Opinions by Supervised and Unsupervised Machine learning Methods

Using the Outlier Detection Task to Evaluate Distributional Semantic Models

Linguistic Features to Identify Extreme Opinions: An Empirical Study

Outlier Detection for Line Matching

Acquisition and Declarative Analytical Processing of Spatio-Temporal Observation Data

IMPRESSION–prediction of NMR parameters for 3-dimensional chemical structures using machine learning with near quantum chemical accuracy

A 6-minute sub-maximal run test to predict VO2 max

Grid, cloud and high performance computing: scientific applications' use cases

Study of GaAs Vertical Solar Cells at High Concentration Levels

Supporting Content Design with an Eye Tracker: The Case of Weather-based Recommendations

Adapting SimpleNLG to Galician language

Meteorologists and Students: A resource for language grounding of geographical descriptors

Sorption of phenylurea herbicides by soils: Modelling uncertainty and ruling factors with an artificial neural-based fuzzy inference system

Olivia: A Developer-Friendly "Open Lidar VIsualiser and Analyser" for Point Clouds with 3D Stereoscopic View

GeoHbbTV: A framework for the development and evaluation of geographic interactive TV contents

Motion Planning under Uncertainty in Graduated Fidelity Lattices

Automatic prediction of village-wise soil fertility for several nutrients in India using a wide range of regression methods

Dependency parsing with finite state transducers and compression rules

Organic cattle products: authenticating production origin by analysis of serum mineral content

Aplicando Gamificación con Kahoot en el desarrollo de competencias

Desarrollo de un repositorio común de contenidos para facilitar el proceso enseñanza-aprendizaje

Representing Imprecise and Uncertain Knowledge in Digital Humanities: A Theoretical Framework and ConML Implementation with a Real Case Study

Descripciones lingüísticas de datos de observación meteorológica usando temple simulado

Modelado borroso de referencias geográficas textuales sobre datos de expertos

Generación Automática de Explicaciones en Lenguaje Natural para Árboles de Decisión de Clasificación

Estudio empírico sobre el tratamiento de la sinonimia en los razonamientos vagos

ExpliClas: Un Servicio Web que Genera Automáticamente Explicaciones en Lenguaje Natural de Árboles de Decisión para Clasificación

Deep Learning para detección y tracking de objetos en vídeo

Improving the working memory during early childhood education through the use of an interactive gesture game-based learning approach

LinguaKit: a Big Data-based multilingual tool for linguistic analysis and information extraction

A Comparative Study of Polarity Lexicons to Identify Extreme Opinions

Innovación y emprendimiento: un modelo de crecimiento para España más allá de la crisis

Smart Navigation for a Storytelling Multi-Robot Setting

Classification of color texture feature patterns extracted from cells in histological images of fish ovary

A novel and simple strategy for evolving prototype based clustering

Reconstruction of Tomographic Images through Machine Learning Techniques

Exploring Unsupervised Methods to Textual Similarity

Scene Wireframes Sketching for Drones

Computational Processing of the Portuguese Language

Robust Step Counting for Inertial Navigation with Mobile Phones

Detección de concept drift en minería de procesos basado en agrupamiento de trazas

A tool for runtime analysis of performance and energy usage in NUMA systems

Consulta eficiente de datos moleculares: Situación actual y retos futuros

Fully automatic teeth segmentation in adult OPG images

Multimodal User Interaction for GIS Applications (MUI_GIS).

Producto matricial en el Intel Xeon Phi KNL en el modo Sub-NUMA Clustering 4

Towards a Big Data Multi-language Framework using Docker Containers

Incremento de las capacidades ejecutivas mediante el uso de herramientas interactivas basadas en gestos: Caso de estudio la memoria de trabajo.

Task-Oriented Evaluation of Dependency Parsing with Open Information Extraction

Overview of eRisk: Early Risk Prediction on the Internet

Multiclass Change Detection for Multidimensional Images in the Presence of Noise

Overview of eRisk 2018: Early Risk Prediction on the Internet (extended lab overview)

A New Approach for Sparse Matrix Classification Based on Deep Learning Techniques

STDnet: A ConvNet for Small Target Detection

Ontology-based approach for the validation and conformance testing of xAPI events

In‐pixel analog memories for a pixel‐based background subtraction algorithm on CMOS vision sensors

On the adoption of abductive reasoning for time series interpretation

Abductive reasoning as the basis to reproduce expert criteria in ECG atrial fibrillation identification

Characterizing Quantifier Fuzzification Mechanisms: a behavioral guide for applications

Measuring language distance among historical varieties using perplexity. Application to European Portuguese

Estratégias Lexicométricas para Detetar Especificidades Textuais

New distributed virtual TV set architecture for a synergistic operation of sensors and improved interaction between real and virtual worlds

An ontology-based interpretable fuzzy decision support system for diabetes diagnosis

High validity of dental plaque indices by imaging analysis

DenTiUS Plaque: a web-based tool for quantifying dental plaque levels

Stacked autoencoders for multiclass change detection in hyperspectral images

Efficient multitemporal change detection techniques for hyperspectral images on GPU

Hybrid Data-Expert Explainable Beer Style Classifier

Improving Design Smell Detection for Adoption in Industry

Solving the general map overlay problem using a fuzzy inference system designed for spatial disaggregation

GPU computation of Attribute Profiles for RS Image Classification

Towards a Multi-device Version of the HYFMGPU Algorithm for Hyperspectral Scenes Registration

Explainable AI Beer Style Classifier

Cost-effective construction of Information Retrieval test collections

Building Python-Based Topologies for Massive Processing of Social Media Data in Real Time

Evaluation of Distributional Models with the Outlier Detection Task

Rethinking children's co-creation processes beyond the design of TUIs

Reinterpreting Interpretability for Fuzzy Linguistic Descriptions of Data

A bibliometric analysis of the explainable artificial intelligence research field

CitiusNLP at SemEval-2018 Task 10: The Use of Transparent Distributional Models and Salient Contexts to Discriminate Word Attributes

Improving performance of iterative solvers with the AXC format using the Intel Xeon Phi

Poster: Discovering requirements of behaviour change software systems from negative user experience

Live Demonstration: Light Energy Harvesting System with an On-Chip Solar Cell and Cold Start-Up

Shannon Entropy as Background Dynamics Estimator In Foreground Detector Algorithms

Impact of Analog Memories Non-Idealities on the Performance of Foreground Detection Algorithms

A lexicon based method to search for extreme opinions

Pulsed Time-of-Flight Pixel with on-Chip 20 klux Background Light Suppression in Standard CMOS Technology

Alignment of Hyperspectral Images Using KAZE Features

GPU-based segmentation of retinal blood vessels

Spatial Sensitivity of Silicon GAA Nanowire FETs Under Line Edge Roughness Variations

Estrategias estáticas y dinámicas para el agrupamiento de latidos mediante acumulación de evidencia

Simultaneous estimation of deterministic and fractal stochastic components in non-stationary time series

Efficiency increase of a-Si:H solar cells with optimized front and back contact textures

Modelling of nanoscale multi-gate transistors affected by atomistic interface roughness

A Micromodule Approach for Building Real-Time Systems with Python-Based Models: Application to Early Risk Detection of Depression on Social Media

FoMPy: A figure of merit extraction tool for semiconductor device simulations

Special issue on advances on smart camera architectures for real-time image processing

Caffe CNN-based classification of hyperspectral images on GPU

FinFET versus gate-all-around nanowire FET: Performance, scaling, and variability

Machine learning algorithms for pattern visualization in classification tasks and for automatic indoor temperature prediction

Heartbeat classification using abstract features from the abductive interpretation of the ECG