Publikationen, an denen er mitarbeitet MANUEL LAMA PENIN (51)

2024

  1. 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

  2. Exploiting recurrent graph neural networks for suffix prediction in predictive monitoring

    Computing, Vol. 106, Núm. 9, pp. 3085-3111

  3. 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)

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

    SoftwareX, Vol. 26

2023

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

    IEEE Transactions on Services Computing, Vol. 16, Núm. 1, pp. 13-26

  2. Deep Learning for Predictive Business Process Monitoring: Review and Benchmark

    IEEE Transactions on Services Computing, Vol. 16, Núm. 1, pp. 739-756

  3. 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)

  4. Learning Context-Based Representations of Events in Complex Processes

    Proceedings - 2023 IEEE International Conference on Web Services, ICWS 2023

2020

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

    Knowledge-Based Systems, Vol. 199

2018

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

    Knowledge-Based Systems, Vol. 155, pp. 22-34

2017

  1. Comparative study of xAPI validation tools

    Proceedings - Frontiers in Education Conference, FIE

  2. Comparative study of xAPI validation tools

    2017 IEEE FRONTIERS IN EDUCATION CONFERENCE (FIE)

2016

  1. Recompiling learning processes from event logs

    Knowledge-Based Systems, Vol. 100, pp. 160-174

2015

  1. 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

  2. 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

  3. SmartLAK: A Big Data Architecture for Supporting Learning Analytics Services

    FRONTIERS IN EDUCATION CONFERENCE (FIE), 2015

2014

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

    Knowledge-Based Systems, Vol. 55, pp. 29-42

  2. 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)

  3. SmartLAK: A big data architecture for supporting learning analytics services

    Proceedings - Frontiers in Education Conference, FIE

  4. SoftLearn: A process mining platform for the discovery of learning paths

    Proceedings - IEEE 14th International Conference on Advanced Learning Technologies, ICALT 2014