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Publication search results
found 79 matches
- 2025
- Mamadou Ben Hamidou Cissoko, Vincent Castelain, Nicolas Lachiche:
Multi-Way adaptive Time Aware LSTM for irregularly collected sequential ICU data. Expert Syst. Appl. 261: 125548 (2025) - 2024
- Hajer Akid, Kirsley Chennen, Gabriel Frey, Julie Dawn Thompson, Mounir Ben Ayed, Nicolas Lachiche:
Graph-based machine learning model for weight prediction in protein-protein networks. BMC Bioinform. 25(1): 349 (2024) - Mamadou Ben Hamidou Cissoko, Vincent Castelain, Nicolas Lachiche:
Modeling Temporal Dynamics in Irregular ICU Data Using MWTA-LSTM. EPIA (2) 2024: 26-37 - Nassime Mountasir, Baptiste Lafabregue, Bruno Albert, Nicolas Lachiche:
Écrêter la valeur cible ou filtrer les données en maintenance prévisionnelle : exemple de C-MAPSS. EGC 2024: 347-348 - 2023
- Mamadou Ben Hamidou Cissoko, Vincent Castelain, Nicolas Lachiche:
Prise en compte de données séquentielles hétérogènes dans l'apprentissage profond : application aux données de soins intensifs. EGC 2023: 663-664 - Thomas Jakobsche, Nicolas Lachiche, Florina M. Ciorba:
Investigating HPC Job Resource Requests and Job Efficiency Reporting. ISPDC 2023: 61-68 - 2022
- Hajer Akid, Gabriel Frey, Mounir Ben Ayed, Nicolas Lachiche:
Performance of NoSQL Graph Implementations of Star vs. Snowflake Schemas. IEEE Access 10: 48603-48614 (2022) - Hajer Akid, Kirsley Chennen, Gabriel Frey, Julie Dawn Thompson, Mounir Ben Ayed, Nicolas Lachiche:
Apprentissage automatique basé sur l'agrégation pour la prédiction de liens dans les réseaux d'interactions protéine-protéine. EGC 2022: 481-482 - Thomas Jakobsche, Nicolas Lachiche, Florina M. Ciorba:
Challenges and Opportunities of Machine Learning for Monitoring and Operational Data Analytics in Quantitative Codesign of Supercomputers. CoRR abs/2209.07164 (2022) - 2021
- Mouhamadou Saliou Diallo, Sidahmed Mokeddem, Agnès Braud, Gabriel Frey, Nicolas Lachiche:
Identifying Benchmarks for Failure Prediction in Industry 4.0. Informatics 8(4): 68 (2021) - Fernando Martínez-Plumed, Lidia Contreras Ochando, Cèsar Ferri, José Hernández-Orallo, Meelis Kull, Nicolas Lachiche, María José Ramírez-Quintana, Peter A. Flach:
CRISP-DM Twenty Years Later: From Data Mining Processes to Data Science Trajectories. IEEE Trans. Knowl. Data Eng. 33(8): 3048-3061 (2021) - Thomas Jakobsche, Nicolas Lachiche, Aurélien Cavelan, Florina M. Ciorba:
An Execution Fingerprint Dictionary for HPC Application Recognition. CLUSTER 2021: 604-608 - Agnès Braud, Xavier Dolques, Pierre Fechter, Nicolas Lachiche, Florence Le Ber, Véronique Pitchon:
Analyzing the composition of remedies in ancient pharmacopeiae with FCA. RealDataFCA@ICFCA 2021: 28-35 - Thomas Jakobsche, Nicolas Lachiche, Aurélien Cavelan, Florina M. Ciorba:
An Execution Fingerprint Dictionary for HPC Application Recognition. CoRR abs/2109.04766 (2021) - 2020
- Thomas Guyet, Philippe Besnard, Ahmed Samet, Nasreddine Ben Salha, Nicolas Lachiche:
Énumération des occurrences d'une chronique. EGC 2020: 253-260 - 2019
- Marc Boullé, Clément Charnay, Nicolas Lachiche:
A scalable robust and automatic propositionalization approach for Bayesian classification of large mixed numerical and categorical data. Mach. Learn. 108(2): 229-266 (2019) - Nicolas Lachiche, Christel Vrain, Fabrizio Riguzzi, Elena Bellodi, Riccardo Zese:
Preface to special issue on Inductive Logic Programming, ILP 2017 and 2018. Mach. Learn. 108(7): 1057-1059 (2019) - Nesrine Bannour, Anne Jeannin-Girardon, Nicolas Lachiche, Etienne Schneider:
Résistance au bruit et à la rareté de la détection d'anomalies par arbre de décision de systèmes physiques simulés. EGC 2019: 273-278 - 2018
- Nicolas Lachiche, Christel Vrain:
Inductive Logic Programming - 27th International Conference, ILP 2017, Orléans, France, September 4-6, 2017, Revised Selected Papers. Lecture Notes in Computer Science 10759, Springer 2018, ISBN 978-3-319-78089-4 [contents] - Nicolas Lachiche, Christel Vrain:
Late Breaking Papers of the 27th International Conference on Inductive Logic Programming, Orléans, France, September 4-6, 2017. CEUR Workshop Proceedings 2085, CEUR-WS.org 2018 [contents] - 2017
- Nicolas Lachiche:
Propositionalization. Encyclopedia of Machine Learning and Data Mining 2017: 1025-1031 - Fernando Martínez-Plumed, Lidia Contreras Ochando, César Ferri, Peter A. Flach, José Hernández-Orallo, Meelis Kull, Nicolas Lachiche, María José Ramírez-Quintana:
CASP-DM: Context Aware Standard Process for Data Mining. CoRR abs/1709.09003 (2017) - 2016
- Simon Rougier, Anne Puissant, André Stumpf, Nicolas Lachiche:
Comparison of sampling strategies for object-based classification of urban vegetation from Very High Resolution satellite images. Int. J. Appl. Earth Obs. Geoinformation 51: 60-73 (2016) - José Hernández-Orallo, Adolfo Martínez Usó, Ricardo B. C. Prudêncio, Meelis Kull, Peter A. Flach, Chowdhury Farhan Ahmed, Nicolas Lachiche:
Reframing in context: A systematic approach for model reuse in machine learning. AI Commun. 29(5): 551-566 (2016) - José Hernández-Orallo, César Ferri, Nicolas Lachiche, Adolfo Martínez Usó, M. José Ramírez-Quintana:
Binarised regression tasks: methods and evaluation metrics. Data Min. Knowl. Discov. 30(4): 848-890 (2016) - Nicolas Lachiche, Alain Shakour:
Nouveaux algorithmes de fouilles de données relationnelles de clowdflows. EGC 2016: 499-504 - Md. Naimul Hoque, Chowdhury Farhan Ahmed, Nicolas Lachiche, Carson K. Leung, Hao Zhang:
Reframing in Clustering. ICTAI 2016: 350-354 - 2015
- Chowdhury Farhan Ahmed, Nicolas Lachiche, Clément Charnay, Soufiane El Jelali, Agnès Braud:
Flexible propositionalization of continuous attributes in relational data mining. Expert Syst. Appl. 42(21): 7698-7709 (2015) - Cèsar Ferri Ramirez, Peter A. Flach, Nicolas Lachiche:
Report of the First International Workshop on Learning over Multiple Contexts (LMCE 2014). SIGKDD Explor. 17(1): 48-50 (2015) - Clément Charnay, Nicolas Lachiche, Agnès Braud:
Approche relationnelle de l'apprentissage de séquences. EGC 2015: 481-482
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