Quick Hidden Layer Size Tuning in ELM for Classification Problems
Inteligencia Artificial y Métodos Big Data para el estudio masivo de datos en Internet: Nuevas metodologías para el análisis de información sanitaria en línea
REACH: Researching Efficient Alignment-based Conformance Checking
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
Delving into the Depths: Evaluating Depression Severity through BDI-biased Summaries
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 thread-level speculative automatic parallelization model and library based on duplicate code execution
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
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
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
Enriching Interactive Explanations with Fuzzy Temporal Constraint Networks
An Unsupervised Perplexity-Based Method for Boilerplate Removal
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
An operational framework for guiding human evaluation in Explainable and Trustworthy AI
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
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
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
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
An ensemble-based phenotype classifier to diagnose Crohn’s disease from 16s rRNA gene sequences
Relation networks for few-shot video object detection
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
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
An empirical study on how humans appreciate automated counterfactual explanations which embrace imprecise information
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
Federated Learning from Demonstration for Active Assistance to Smart Wheelchair Users
Pelgrom-based predictive model to estimate metal grain granularity and line edge roughness in advanced multigate MOSFETs
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
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
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
Redundancy of 16S rRNA Genes in Genomes from Oral Bacteria and Archaea
Predictive Potential of Anatomical Tooth Relationships for Determining Chronological Age Using a Semi-automated Approach
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 at CLEF 2020: Early Risk Prediction on the Internet (extended overview)
Overview of eRisk 2020: Early Risk Prediction on the Internet
La confianza en las máquinas inteligentes
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
An experimental study on the use of fuzzy quantification models for linguistic descriptions of data
RoI Feature Propagation for Video Object Detection
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
Experimental Study on Generating Multi-modal Explanations of Black-box Classifiers in terms of Gray-box Classifiers
Building Explanations for Fuzzy Decision Trees with the ExpliClas Software
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
Using Score Distributions to Compare Statistical Significance Tests for Information Retrieval Evaluation
Ultra-efficient intrinsic-vertical-tunnel-junction structures for next-generation concentrator solar cells
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
Robust and fast scene recognition in robotics through the automatic identification of meaningful images
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
Discovering Latent Depression Patterns in Online Social Media
Explainable Artificial Intelligence for Kids
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)
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
Consultas eficientes sobre registros de eventos basadas en análisis de conformidad
A Real-Time Processing Stand-Alone Multiple Object Visual Tracking System
Factores que tienen en cuenta los desarrolladores en la priorización de smells para su corrección: conclusiones después de una réplica
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
Incremental Learning Techniques within a Self-updating Approach for Face Verification in Video-Surveillance
Ultralow power voltage reference circuit for implantable devices in standard CMOS technology
Dataset Bias Exposed in Face Verification
Real-Time Traffic Monitoring with Occlusion Handling
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
Fuzzy-Based Language Grounding of Geographical References: From Writers to Readers
Impact of threshold voltage extraction methods on semiconductor device variability
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