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

IEEE transactions on services computing, 2017-07, Vol.10 (4), p.547-559

2017

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

IEEE access, 2019, Vol.7, p.128198-128212

2019

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

SoftwareX, 2024-05, Vol.26, p.101734, Article 101734

2024

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REACH: Researching Efficient Alignment-based Conformance Checking

Expert systems with applications, 2024-05, Vol.241, p.122467, Article 122467

2024

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Mining frequent patterns in process models

Information sciences, 2019-01, Vol.472, p.235-257

2019

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An Integrated Semantic Web Service Discovery and Composition Framework

IEEE transactions on services computing, 2016-07, Vol.9 (4), p.537-550

2016

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Semantic Linking of Learning Object Repositories to DBpedia

Educational technology & society, 2012-10, Vol.15 (4), p.47-61

2012

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Understanding complex process models by abstracting infrequent behavior

Future generation computer systems, 2020-12, Vol.113, p.428-440

2020

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Efficient edge filtering of directly-follows graphs for process mining

Information sciences, 2022-09, Vol.610, p.830-846

2022

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Service-Oriented Computing - ICSOC 2017 Workshops: ASOCA, ISyCC, WESOACS, and Satellite Events, Málaga, Spain, November 13-16, 2017, Revised Selected Papers

1st Edition 2018, 2018

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

Information sciences, 2015-02, Vol.294, p.315-333

2015

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A Learning Design Ontology based on the IMS Specification

Educational technology & society, 2006-01, Vol.9 (1), p.38-57

2006

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Deep Learning for Predictive Business Process Monitoring: Review and Benchmark

IEEE transactions on services computing, 2023-01, Vol.16 (1), p.739-756

2023

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Embedding Graph Convolutional Networks in Recurrent Neural Networks for Predictive Monitoring

IEEE transactions on knowledge and data engineering, 2024-01, Vol.36 (1), p.137-151

2024

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Operationalizing Explainable Artificial Intelligence in the European Union Regulatory Ecosystem

IEEE intelligent systems, 2024-07, Vol.39 (4), p.37-48

2024

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GeoSPARQL query support for scientific raster array data

Computers & geosciences, 2022-02, Vol.159, p.105023, Article 105023

2022

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Enhancing discovered processes with duplicate tasks

Information sciences, 2016-12, Vol.373, p.369-387

2016

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

IEEE transactions on services computing, 2023-01, Vol.16 (1), p.13-26

2023

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Patrones de costos de atención a pacientes con enfermedades isquémicas del corazón en el Instituto Nacional Cardiovascular, 2019

Anales de la Facultad de Medicina (Lima, Peru : 1990), 2022-06, Vol.83 (2), p.104-111

2022

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

2021 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 2021, p.1-6

2021

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

Knowledge-based systems, 2020-07, Vol.199, p.105967, Article 105967

2020

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Exploiting recurrent graph neural networks for suffix prediction in predictive monitoring

Computing, 2024-09, Vol.106 (9), p.3085-3111

2024

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Simplification of Complex Process Models by Abstracting Infrequent Behaviour

Service-Oriented Computing, p.415-430

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A framework for the automatic description of healthcare processes in natural language: Application in an aortic stenosis integrated care process

Journal of biomedical informatics, 2022-04, Vol.128, p.104033-104033, Article 104033

2022

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

Knowledge-based systems, 2018-09, Vol.155, p.22-34

2018

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

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

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

REACH: Researching Efficient Alignment-based Conformance Checking

Mining frequent patterns in process models

An Integrated Semantic Web Service Discovery and Composition Framework

Semantic Linking of Learning Object Repositories to DBpedia

Understanding complex process models by abstracting infrequent behavior

Efficient edge filtering of directly-follows graphs for process mining

Service-Oriented Computing - ICSOC 2017 Workshops: ASOCA, ISyCC, WESOACS, and Satellite Events, Málaga, Spain, November 13-16, 2017, Revised Selected Papers

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

A Learning Design Ontology based on the IMS Specification

Deep Learning for Predictive Business Process Monitoring: Review and Benchmark

Embedding Graph Convolutional Networks in Recurrent Neural Networks for Predictive Monitoring

Operationalizing Explainable Artificial Intelligence in the European Union Regulatory Ecosystem

GeoSPARQL query support for scientific raster array data

Enhancing discovered processes with duplicate tasks

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

Patrones de costos de atención a pacientes con enfermedades isquémicas del corazón en el Instituto Nacional Cardiovascular, 2019

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

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

Exploiting recurrent graph neural networks for suffix prediction in predictive monitoring

Simplification of Complex Process Models by Abstracting Infrequent Behaviour

A framework for the automatic description of healthcare processes in natural language: Application in an aortic stenosis integrated care process

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

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