Publications (176) ALBERTO JOSE BUGARIN DIZ publications View referenced research data.

2024

  1. A User Study on the Utility of Context-Aware Explanations for Assisting Data Scientists in Error Analysis of Fuzzy Decision Trees

    IEEE International Conference on Fuzzy Systems

  2. An Empirical Study on the Number of Items in Human Evaluation of Automatically Generated Texts

    Procesamiento del lenguaje natural, Núm. 72, pp. 45-55

  3. Enriching interactive explanations with fuzzy temporal constraint networks

    International Journal of Approximate Reasoning, Vol. 171

  4. ParanoIA

    Grial: revista galega de cultura, Núm. 241, pp. 57-63

  5. ReproHum #0927-3: Reproducing The Human Evaluation Of The DExperts Controlled Text Generation Method

    4th Workshop on Human Evaluation of NLP Systems, HumEval 2024 at LREC-COLING 2024 - Workshop Proceedings

2023

  1. An empirically supported approach to the treatment of imprecision in vague reasoning

    International Journal of Approximate Reasoning, Vol. 161

  2. 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)

  3. Estimating Remaining Time of Business Processes based on Traces Structural Analysis

    2nd International Engineering Conference on Electrical, Energy, and Artificial Intelligence, EICEEAI 2023

  4. Multi3Generation: Multitask, Multilingual, and Multimodal Language Generation

    Open Research Europe, Vol. 3

  5. Some lessons learned reproducing human evaluation of a data-to-text system

    HumEval 2023 - Proceedings of the 3rd Workshop on Human Evaluation of NLP Systems, associated with the 14th International Conference on Recent Advances in Natural Language Processing 2023, RANLP 2023

  6. The Droid You're Looking For: C-4PM, a Conversational Agent for Declarative Process Mining

    CEUR Workshop Proceedings

  7. Trustworthy artificial intelligence in Alzheimer’s disease: state of the art, opportunities, and challenges

    Artificial Intelligence Review, Vol. 56, Núm. 10, pp. 11149-11296