Nicolas Gutowski

Orcid: 0000-0002-5765-9901

According to our database1, Nicolas Gutowski authored at least 16 papers between 2017 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
miditok: A Python package for MIDI file tokenization.
CoRR, 2023

Byte Pair Encoding for Symbolic Music.
CoRR, 2023

Impact of Time and Note Duration Tokenizations on Deep Learning Symbolic Music Modeling.
Proceedings of the 24th International Society for Music Information Retrieval Conference, 2023

Byte Pair Encoding for Symbolic Music.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

2022
A novel multi-objective medical feature selection compass method for binary classification.
Artif. Intell. Medicine, 2022

COM-MABs: From Users' Feedback to Recommendation.
Proceedings of the Thirty-Fifth International Florida Artificial Intelligence Research Society Conference, 2022

2021
Gorthaur-EXP3: Bandit-based selection from a portfolio of recommendation algorithms balancing the accuracy-diversity dilemma.
Inf. Sci., 2021

2020
Partial Bandit and Semi-Bandit: Making the Most Out of Scarce Users' Feedback.
Proceedings of the 32nd IEEE International Conference on Tools with Artificial Intelligence, 2020

2019
Recommandation contextuelle de services : Application à la recommandation d'événements culturels dans la ville intelligente. (Context-aware recommendation systems for cultural events recommendation in Smart Cities).
PhD thesis, 2019

Global versus individual accuracy in contextual multi-armed bandit.
Proceedings of the 34th ACM/SIGAPP Symposium on Applied Computing, 2019

Using Individual Accuracy to Create Context for Non-Contextual Multi-Armed Bandit Problems.
Proceedings of the 2019 IEEE-RIVF International Conference on Computing and Communication Technologies, 2019

Improving Bandit-Based Recommendations with Spatial Context Reasoning: An Online Evaluation.
Proceedings of the 31st IEEE International Conference on Tools with Artificial Intelligence, 2019

Gorthaur: A Portfolio Approach for Dynamic Selection of Multi-Armed Bandit Algorithms for Recommendation.
Proceedings of the 31st IEEE International Conference on Tools with Artificial Intelligence, 2019

2018
Context Enhancement for Linear Contextual Multi-Armed Bandits.
Proceedings of the IEEE 30th International Conference on Tools with Artificial Intelligence, 2018

Bandits-Manchots Contextuels : Précision Globale Versus Individuelle.
Proceedings of the 4ème Conférence Nationale sur les Applications Pratiques de l'Intelligence Artificielle, 2018

2017
Measuring the Energy Consumption of Massive Data Insertions: An Energy Consumption Assessment of the PL/SQL FOR LOOP and FORALL Methods.
Proceedings of the 2017 IEEE International Conference on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, 2017


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