Manuel Mucientes Molina

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
Mining Duplicate Tasks from Discovered Processes
Soft Computing for Learner's Assessment in SoftLearn
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 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
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