Publications

Superpowering Open-Vocabulary Object Detectors for X-ray Vision

Exploring Open-Vocabulary Models for Category-Free Detection

Enhancing Multi-Object Tracking with Segmentation Masks: A Solution for Lost Object Recovery

MixUDA: From Synthetic to Real Object Detection

A fine-tuning approach based on spatio-temporal features for few-shot video object detection

Enhancing few-shot object detection through pseudo-label mining

Lost and Found: Overcoming Detector Failures in Online Multi-Object Tracking

REACH: Researching Efficient Alignment-based Conformance Checking

Downsampling GAN for Small Object Data Augmentation

Few-Shot Image Classification for Automatic COVID-19 Diagnosis

Relation networks for few-shot video object detection

Depth Estimation and Image Restoration by Deep Learning from Defocused Images

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

Real-Time Siamese Multiple Object Tracker with Enhanced Proposals

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

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

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

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

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

Spatio-Temporal Object Detection from UAV On-Board Cameras

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

Automatic linguistic reporting of customer activity patterns in open malls

Real-Time Multiple Object Visual Tracking for Embedded GPU Systems

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

SiamMT: Real-Time Arbitrary Multi-Object Tracking

Correlation-based ConvNet for Small Object Detection in Videos

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

Repairing Alignments of Process Models

RoI Feature Propagation for Video Object Detection

Understanding complex process models by abstracting infrequent behavior

Autonomous navigation for UAVs managing motion and sensing uncertainty

STDnet: Exploiting high resolution feature maps for small object detection

Simplification of Complex Process Models by Abstracting Infrequent Behaviour

INVERBIS: minería de datos aplicada a la mejora de procesos

Real-time visual detection and tracking system for traffic monitoring

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

Real-Time Traffic Monitoring with Occlusion Handling

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

Graduated Fidelity Lattices for Motion Planning under Uncertainty

Mining Frequent Patterns in Process Models

Motion Planning under Uncertainty in Graduated Fidelity Lattices

Deep Learning para detección y tracking de objetos en vídeo

STDnet: A ConvNet for Small Target Detection

Reconstrucción 3D densa de escenas utilizando una cámara monocular

Discovering Infrequent Behavioral Patterns in Process Models

Towards the Extraction of Frequent Patterns in Complex Process Models

Scalable Modeling of Thermal Dynamics in Buildings using Fuzzy Rules for Regression

Computer-assisted development of two-dimensional liquid chromatographic separations

Enhancing Discovered Processes with Duplicate Tasks

S-FRULER: Scalable Fuzzy Rule Learning through Evolution for Regression

Reparación de alineamientos en modelos de proceso similares

Recompilación de procesos de educación a partir de registros de eventos

Prediction of indoor temperatures for energy optimization in buildings

Análisis inteligente de flujos de trabajo sociales

FRULER: Fuzzy Rule Learning through Evolution for Regression

A Genetic Fuzzy System for Large-scale Regression

An Integrated Semantic Web Service Discovery and Composition Framework

Process Mining in IT Service Management: A Case Study

Prediction of building temperatures for energy optimization

Repairing Alignments: Striking the Right Nerve

A MapReduce Implementation of a Genetic Fuzzy System for Regression

Recompiling learning processes from event logs

An Adaptive Multi-resolution State Lattice Approach for Motion Planning with Uncertainty

Generacion automática de informes en lenguaje natural en una plataforma de e-learning

Hybrid Optimization Algorithm for Large-Scale QoS-Aware Service Composition

ProDiGen: minando modelos completos, precisos y simples con un algoritmo genético

Algoritmo Híbrido de Composición Automática de Servicios con QoS

Demo: Mask and Maskless Face Classification System to Detect Breach Protocols in the Operating Room

STAC: a web platform for the comparison of algorithms using statistical tests

Reducing the Complexity in Genetic Learning of Accurate Regression TSK Rule-Based Systems

Towards Textual Reporting in Learning Analytics Dashboards

A Hybrid Local-Global Optimization Strategy for QoS-Aware Service Composition

Soft Computing for Learner's Assessment in SoftLearn

Mining Duplicate Tasks from Discovered Processes

System for Medical Mask Detection in the Operating Room Through Facial Attributes

Application of fuzzy techniques to Autonomous Robots

Omnidirectional visual SLAM under severe occlusions

ProDiGen: Mining complete, precise and minimal structure process models with a genetic algorithm

Learning Fuzzy Controllers in Mobile Robotics with Embedded Preprocessing

Reconstructing IMS LD Units of Learning from Event Logs

Learning Analytics for the Prediction of the Educational Objectives Achievement

Using a Learning Analytics Tool for Evaluation in Self-Regulated Learning

A Genetic Algorithm for Process Discovery Guided by Completeness, Precision and Simplicity

SoftLearn: A Process Mining Platform for the Discovery of Learning Paths

Hipster: An Open Source Java Library for Heuristic Search

A State Lattice Approach for Motion Planning under Control and Sensor Uncertainty

Learning analytics framework for educational virtual worlds

An Instance Selection Algorithm for Regression and its Application in Variance Reduction

A Tabu Search Optimization Module for Scheduling: Design and integration in the open source tool LibrePlan for project management

A FastSLAM-based Algorithm for Omnidirectional Cameras

A Dynamic QoS-Aware Semantic Web Service Composition Algorithm

Anytime Motion Replanning in State Lattices for Wheeled Robots

A FastSLAM Algorithm for Omnivision

SoftLearn: Soft computing para minería de procesos en e-learning

An Optimal and Complete Algorithm for Automatic Web Service Composition

Photons detection in Positron Emission Tomography through Iterative Rule Learning of TSK rule

Learning Intelligent Controllers for Path-Following Skills on Snake-Like Robots

Aprendizaje de Controladores Difusos para Seguimiento de Trayectorias en Robots Multiarticulados

An optimal and fast algorithm for web service composition

Automatic web service composition with a heuristic-based search algorithm

Simplified Workflow Representation of IMS Learning Design

Iterative Rule Learning of Quantified Fuzzy Rules for control in mobile robotics

Machine Scheduling in Custom Furniture Industry through Neuro-Evolutionary Hybridization

Composition of web services through genetic programming

Knowledge-Based Framework for Workflow Modelling: Application to the Furniture Industry

People Detection through Quantified Fuzzy Temporal Rules

A case study for learning behaviors in mobile robotics by evolutionary fuzzy systems

Omnivision-based KLD-Monte Carlo Localization

Genetic programming algorithm for web service composition

A Genetic Programming-based Algorithm for Composing Web Services

Visual FastSLAM Through Omnivision

Fuzzy quantification in two real scenarios: Information retrieval and mobile robotics

Processing time estimations by variable structure tsk rules learned through genetic programming

Learning weighted linguistic rules to control an autonomous robot

Localization through omnivision for a tour-guide robot

Fuzzy temporal rule-based systems: new challenges

Hybrid approach for machine scheduling optimization in custom furniture industry

Processing times estimation in a manufacturing industry through genetic programming

Design of a fuzzy controller in mobile robotics using genetic algorithms

Quick design of fuzzy controllers with good interpretability in mobile robotics

Evolutionary learning of a fuzzy controller for wall-following behavior in mobile robotics