Publicaciones

Detecting anomalous patterns in process executions

Gradual Drift Detection in Process Models Using Conformance Metrics

Kernel biclustering algorithm in Hilbert spaces

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

Detecting Model Changes in Organisational Processes: A Cloud-Based Approach

Estudio del contexto de ejecución en monitorización predictiva de procesos

Learning context-based representations of events in complex processes

Embedding Graph Convolutional Networks in Recurrent Neural Networks for Predictive Monitoring

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

Deep Learning for Predictive Business Process Monitoring: Review and Benchmark

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

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

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

Towards high-level fuzzy control specifications for building automation systems

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

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

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

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

Characterizing Quantifier Fuzzification Mechanisms: a behavioral guide for applications

Comparative study of xAPI validation tools

Recompilación de procesos de educación a partir de registros de eventos

Recompiling learning processes from event logs

Integration of Grid, cluster and cloud resources to semantically annotate a large-sized repository of learning objects

Descrição semântica de experiência de aprendizagem baseada na especificação xAPI

Plataforma de Serviços Inteligentes de Learning Analytics para grandes quantidades de dados

SmartLAK: A Big Data Architecture for Supporting Learning Analytics Services

Semantic description of the Experience API Specification

Reconstructing IMS LD Units of Learning from Event Logs

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

Integración de recursos grid y cloud para anotar semánticamente grandes colecciones de objetos de aprendizaje

Graph-based semantic annotation for enriching educational content with linked data

A Fuzzy Syllogistic Reasoning Schema for Generalized Quantifiers

Learning analytics framework for educational virtual worlds

Una experiencia real de anotación semántica a gran escala utilizando recursos de computación heterogéneos

A practical experience concerning the parallel semantic annotation of a large-scale data collection

A Petri net model for changing units of learning in runtime

Semantic linking of learning object repositories to DBpedia

Toward the Use of Petri Nets for the Formalization of OWL-S Choreographies

Petri net-based engine for adaptive learning

Semantic integration of social information in learning systems

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

An Optimal and Complete Algorithm for Automatic Web Service Composition

Razonamiento silogístico aproximado con cuantificadores generalizados

An Evolutionary Approach for Learning the Weight of Relations in Linked Data

Dynamic adaptation in OPENET4LD

Semantic linking of a learning object repository to DBpedia

Toward enriching course content with Linked Data

Simplified Workflow Representation of IMS Learning Design

Dynamic adaptation in IMS Learning Design

Machine Scheduling in Custom Furniture Industry through Neuro-Evolutionary Hybridization

Integración de IMS LD en mundos virtuales

Semantic annotation of educational resources through linked data

Combining uncorrelated similarity measures for service discovery

A context-based algorithm for annotating educational content with Linked Data

OPENET: Ontology-based engine for high-level Petri nets

OPENET4WF: Marco de conocimiento para el modelado de flujos de trabajo formalizados mediante Redes de Petri

OPENET4VE: A Platform for the Execution of IMS LD Units of Learning in Virtual Environments

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

Arquitectura orientada a servicios para la ejecución de unidades de aprendizaje en mundos virtuales

OPENET LD: An Ontology-based Petri Net Engine to Execute IMS LD Units of Learning

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

Hybrid approach for machine scheduling optimization in custom furniture industry

A framework for unifying problem-solving knowledge and workflow modeling

Processing times estimation in a manufacturing industry through genetic programming

On the use of an IMS LD ontology for creating and executing Units of Learning

Service-oriented architecture for knowledge-enriched workflows modelling and execution

Petri Net Semantics for OWL-S Service Choreography