JUAN CARLOS
VIDAL AGUIAR
Profesor titular de universidade
MANUEL
LAMA PENIN
Catedrático de universidade
Publicacións nas que colabora con MANUEL LAMA PENIN (51)
2024
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Embedding Graph Convolutional Networks in Recurrent Neural Networks for Predictive Monitoring
IEEE Transactions on Knowledge and Data Engineering, Vol. 36, Núm. 1, pp. 137-151
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Exploiting recurrent graph neural networks for suffix prediction in predictive monitoring
Computing, Vol. 106, Núm. 9, pp. 3085-3111
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Towards Learning the Optimal Sampling Strategy for Suffix Prediction in Predictive Monitoring
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
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VERONA: A python library for benchmarking deep learning in business process monitoring
SoftwareX, Vol. 26
2023
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A Conformance Checking-Based Approach for Sudden Drift Detection in Business Processes
IEEE Transactions on Services Computing, Vol. 16, Núm. 1, pp. 13-26
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Deep Learning for Predictive Business Process Monitoring: Review and Benchmark
IEEE Transactions on Services Computing, Vol. 16, Núm. 1, pp. 739-756
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Detecting Model Changes in Organisational Processes: A Cloud-Based Approach
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
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Learning Context-Based Representations of Events in Complex Processes
Proceedings - 2023 IEEE International Conference on Web Services, ICWS 2023
2020
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Collective disambiguation in entity linking based on topic coherence in semantic graphs
Knowledge-Based Systems, Vol. 199
2018
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Ontology-based approach for the validation and conformance testing of xAPI events
Knowledge-Based Systems, Vol. 155, pp. 22-34
2017
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Comparative study of xAPI validation tools
2017 IEEE FRONTIERS IN EDUCATION CONFERENCE (FIE)
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Comparative study of xAPI validation tools
Proceedings - Frontiers in Education Conference, FIE
2016
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Recompiling learning processes from event logs
Knowledge-Based Systems, Vol. 100, pp. 160-174
2015
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Integration of grid, cluster and cloud resources to semantically annotate a large-sized repository of learning objects
Concurrency and Computation: Practice and Experience, Vol. 27, Núm. 17, pp. 4603-4629
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Semantic description of the experience API specification
Proceedings - IEEE 15th International Conference on Advanced Learning Technologies: Advanced Technologies for Supporting Open Access to Formal and Informal Learning, ICALT 2015
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SmartLAK: A Big Data Architecture for Supporting Learning Analytics Services
FRONTIERS IN EDUCATION CONFERENCE (FIE), 2015
2014
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Graph-based semantic annotation for enriching educational content with linked data
Knowledge-Based Systems, Vol. 55, pp. 29-42
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Reconstructing IMS LD units of learning from event logs
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
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SmartLAK: A big data architecture for supporting learning analytics services
Proceedings - Frontiers in Education Conference, FIE
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SoftLearn: A process mining platform for the discovery of learning paths
Proceedings - IEEE 14th International Conference on Advanced Learning Technologies, ICALT 2014