Nicolas Gutowski

@univ-angers.fr

Laboratoire d'étude et de recherche en informatique d'Angers (LERIA)
University of Angers

Nicolas Gutowski


                           Download Compact PDF  
https://researchid.co/ngutowski
Nicolas Gutowski is an Associate Professor in the Department of Electrical Engineering and Industrial Computing at IUT of Angers (University of Angers, France) since 2020 and is a member of the LERIA Laboratory. He worked as an IT engineer in Paris (2006–2010) before teaching in four universities (Angers, Poitiers, La Rochelle, Rouen) in 2010–2011. He then served as lecturer and head of the computer engineering department at ESAIP (2011–2016) and as lecturer at ESEO (2016–2019), where he completed a PhD in Computer Science on Reinforcement Learning and Recommendation Systems (2019, supervised by T. Amghar and O. Camp). He continued as Associate Professor at ESEO (2019–2020) before joining the University of Angers. In March 2025, he obtained his H.D.R. (Accreditation to Supervise Research) in Computer Science on multicriteria optimization for machine learning and feature selection, physics-guided deep learning, and generative AI for symbolic music and molecular generation.

EDUCATION

31/03/2025 HDR - Habilitation à Diriger des Recherches - in Computer Science (i.e. habilitation to supervise research), University of Angers, LERIA, France.
Subject: "Machine Learning for generation and exploration : Adaptation and contextualization for complex HDR mentor: Pr. Frédéric Saubion.
04/11/2019 PhD in Computer Science, University of Angers, LERIA, France
Subject: "Context-aware recommendation systems for cultural events recommendation in Smart PhD Supervisor: Dr. Tassadit Amghar. PhD Co-supervisor: Olivier Camp

RESEARCH, TEACHING, or OTHER INTERESTS

Artificial Intelligence, Computer Science
22

Scopus Publications

371

Scholar Citations

11

Scholar h-index

11

Scholar i10-index

Scopus Publications

RECENT SCHOLAR PUBLICATIONS

  • Physics-guided approach with transfer learning in vehicle lateral dynamics
    F Lionti, N Gutowski, S Aubin, P Martinet
    Journal of Intelligent Information Systems 64 (1), 145-160 , 2026
    2026
    Citations: 2
  • Rethinking NLP for Chemistry: A Critical Look at the USPTO Benchmark
    D Ozer, N Gutowski, B Da Mota, T Cauchy, S Lamprier
    Findings of the Association for Computational Linguistics: EMNLP 2025, 22813 … , 2025
    2025
  • A Transformer Model for Predicting Chemical Products from Generic SMARTS Templates with Data Augmentation
    D Ozer, S Lamprier, N Gutowski, B Da Mota, T Cauchy
    2025 IEEE 37th International Conference on Tools with Artificial … , 2025
    2025
  • Guiding Evolutionary Molecular Design: Adding Reinforcement Learning for Mutation Selection
    G Milon-Harnois, C Touhami, N Gutowski, B Da Mota, T Cauchy
    2025 IEEE 37th International Conference on Tools with Artificial … , 2025
    2025
  • Bias-Variance Analysis of Multi-Step Loss Functions for Dynamical System Identification
    F Lionti, N Gutowski, S Aubin, P Martinet
    2025 International Joint Conference on Neural Networks (IJCNN), 1-8 , 2025
    2025
  • Learning-Guided MCTS for Generalizable and Interpretable Synthesis Planning Using Generic Reactions
    D Ozer, B Da Mota, N Gutowski, S Lamprier, T Cauchy, GDR MaDICS
    2025
  • Learning Direct Solution in Moving Horizon Estimation with Deep Learning Methods
    F Lionti, N Gutowski, S Aubin, P Martinet
    2025 IEEE International Conference on Robotics and Automation (ICRA), 7067-7072 , 2025
    2025
  • A transformer model for predicting chemical reaction products from generic templates
    D Ozer, S Lamprier, T Cauchy, N Gutowski, B Da Mota
    arXiv e-prints, arXiv: 2503.05810 , 2025
    2025
    Citations: 5
  • Bandit algorithms: A comprehensive review and their dynamic selection from a portfolio for multicriteria top-k recommendation
    A Letard, N Gutowski, O Camp, T Amghar
    Expert Systems with Applications 246, 123151 , 2024
    2024
    Citations: 16
  • Bayesian approach for parameter estimation in vehicle lateral dynamics
    F Lionti, N Gutowski, S Aubin, P Martinet
    International Symposium on Methodologies for Intelligent Systems, 249-259 , 2024
    2024
    Citations: 4
  • Byte pair encoding for symbolic music
    N Fradet, N Gutowski, F Chhel, JP Briot
    Proceedings of the 2023 conference on empirical methods in natural language … , 2023
    2023
    Citations: 44
  • Approche Bayésienne pour l'Estimation des Paramètres de la Dynamique Latérale d'un Véhicule
    F Lionti, N Gutowski, S Aubin, P Martinet
    CAID 2023-5e Conference on Artificial Intelligence for Defense , 2023
    2023
    Citations: 1
  • MidiTok: A python package for MIDI file tokenization
    N Fradet, JP Briot, F Chhel, AEF Seghrouchni, N Gutowski
    arXiv preprint arXiv:2310.17202 , 2023
    2023
    Citations: 96
  • Impact of time and note duration tokenizations on deep learning symbolic music modeling
    N Fradet, N Gutowski, F Chhel, JP Briot
    arXiv preprint arXiv:2310.08497 , 2023
    2023
    Citations: 19
  • Bandit Algorithms for Multicriteria Top-K Recommendations
    A Letard, N Gutowski, O Camp, T Amghar
    Available at SSRN 4502483 , 2023
    2023
  • COM-MABs: From Users' Feedback to Recommendation
    A Letard, T Amghar, O Camp, N Gutowski
    The 35th International Conference of the Florida Artificial Intelligence … , 2022
    2022
    Citations: 3
  • A novel multi-objective medical feature selection compass method for binary classification
    N Gutowski, D Schang, O Camp, P Abraham
    Artificial Intelligence in Medicine 127, 102277 , 2022
    2022
    Citations: 23
  • Bandits-Manchots Combinatoires: du retour utilisateur à la recommandation
    A Letard, T Amghar, O Camp, N Gutowski
    CNIA 2021: Conférence Nationale en Intelligence Artificielle, 52--59 , 2021
    2021
    Citations: 2
  • Gorthaur-EXP3: Bandit-based selection from a portfolio of recommendation algorithms balancing the accuracy-diversity dilemma
    N Gutowski, T Amghar, O Camp, F Chhel
    Information Sciences 546, 378-396 , 2021
    2021
    Citations: 30
  • Partial Bandit and Semi-Bandit: Making the Most Out of Scarce Users' Feedback
    A Letard, T Amghar, O Camp, N Gutowski
    2020 IEEE 32nd International Conference on Tools with Artificial … , 2020
    2020
    Citations: 7

MOST CITED SCHOLAR PUBLICATIONS

  • MidiTok: A python package for MIDI file tokenization
    N Fradet, JP Briot, F Chhel, AEF Seghrouchni, N Gutowski
    arXiv preprint arXiv:2310.17202 , 2023
    2023
    Citations: 96
  • Byte pair encoding for symbolic music
    N Fradet, N Gutowski, F Chhel, JP Briot
    Proceedings of the 2023 conference on empirical methods in natural language … , 2023
    2023
    Citations: 44
  • Gorthaur-EXP3: Bandit-based selection from a portfolio of recommendation algorithms balancing the accuracy-diversity dilemma
    N Gutowski, T Amghar, O Camp, F Chhel
    Information Sciences 546, 378-396 , 2021
    2021
    Citations: 30
  • A framework for context-aware service recommendation for mobile users: A focus on mobility in smart cities
    N Gutowski, T Amghar, O Camp, S Hammoudi
    From data to decision, 1-17 , 2017
    2017
    Citations: 27
  • A novel multi-objective medical feature selection compass method for binary classification
    N Gutowski, D Schang, O Camp, P Abraham
    Artificial Intelligence in Medicine 127, 102277 , 2022
    2022
    Citations: 23
  • Impact of time and note duration tokenizations on deep learning symbolic music modeling
    N Fradet, N Gutowski, F Chhel, JP Briot
    arXiv preprint arXiv:2310.08497 , 2023
    2023
    Citations: 19
  • Bandit algorithms: A comprehensive review and their dynamic selection from a portfolio for multicriteria top-k recommendation
    A Letard, N Gutowski, O Camp, T Amghar
    Expert Systems with Applications 246, 123151 , 2024
    2024
    Citations: 16
  • Gorthaur: A portfolio approach for dynamic selection of multi-armed bandit algorithms for recommendation
    N Gutowski, T Amghar, O Camp, F Chhel
    2019 IEEE 31st international conference on tools with artificial … , 2019
    2019
    Citations: 16
  • Context enhancement for linear contextual multi-armed bandits
    N Gutowski, T Amghar, O Camp, F Chhel
    2018 IEEE 30th International Conference on Tools with Artificial … , 2018
    2018
    Citations: 15
  • Global versus individual accuracy in contextual multi-armed bandit
    N Gutowski, T Amghar, O Camp, F Chhel
    Proceedings of the 34th ACM/SIGAPP symposium on applied computing, 1647-1654 , 2019
    2019
    Citations: 14
  • Improving bandit-based recommendations with spatial context reasoning: An online evaluation
    N Gutowski, O Camp, F Chhel, T Amghar, P Albers
    2019 IEEE 31st international conference on tools with artificial … , 2019
    2019
    Citations: 12
  • Partial Bandit and Semi-Bandit: Making the Most Out of Scarce Users' Feedback
    A Letard, T Amghar, O Camp, N Gutowski
    2020 IEEE 32nd International Conference on Tools with Artificial … , 2020
    2020
    Citations: 7
  • Using individual accuracy to create context for non-contextual multi-armed bandit problems
    N Gutowski, O Camp, T Amghar, F Chhel
    2019 IEEE-RIVF international conference on computing and communication … , 2019
    2019
    Citations: 7
  • Context-aware recommendation systems for cultural events recommendation in Smart Cities
    N Gutowski
    < bound method Organization. get_name_with_acronym of< Organization: TEL … , 2019
    2019
    Citations: 6
  • A transformer model for predicting chemical reaction products from generic templates
    D Ozer, S Lamprier, T Cauchy, N Gutowski, B Da Mota
    arXiv e-prints, arXiv: 2503.05810 , 2025
    2025
    Citations: 5
  • Bayesian approach for parameter estimation in vehicle lateral dynamics
    F Lionti, N Gutowski, S Aubin, P Martinet
    International Symposium on Methodologies for Intelligent Systems, 249-259 , 2024
    2024
    Citations: 4
  • Bandit et Semi-Bandit avec Retour Partiel: Une Stratégie d'Optimisation du Retour Utilisateur
    A Letard, T Amghar, O Camp, N Gutowski
    5ème Conférence Nationale sur les Applications Pratiques de l’Intelligence … , 2020
    2020
    Citations: 4
  • Measuring the Energy Consumption of Massive Data Insertions: an energy consumption assessment of the PL/SQL FOR LOOP and FORALL methods
    N Gutowski, O Camp, E Chauveau
    2017 IEEE International Conference on Internet of Things (iThings) and IEEE … , 2017
    2017
    Citations: 4
  • COM-MABs: From Users' Feedback to Recommendation
    A Letard, T Amghar, O Camp, N Gutowski
    The 35th International Conference of the Florida Artificial Intelligence … , 2022
    2022
    Citations: 3
  • How information systems can help in alarm/alert detection
    F Sedes
    Elsevier , 2018
    2018
    Citations: 3