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ORCIDNicolas Lachiche
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2020 – today
- 2025
[j22]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
- [j21]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) - [c46]Mamadou Ben Hamidou Cissoko, Vincent Castelain, Nicolas Lachiche:
Modeling Temporal Dynamics in Irregular ICU Data Using MWTA-LSTM. EPIA (2) 2024: 26-37 - [c45]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
- [c44]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 - [c43]Thomas Jakobsche, Nicolas Lachiche, Florina M. Ciorba:
Investigating HPC Job Resource Requests and Job Efficiency Reporting. ISPDC 2023: 61-68 - 2022
- [j20]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) - [c42]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 - [i3]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
- [j19]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) - [j18]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) - [c41]Thomas Jakobsche, Nicolas Lachiche, Aurélien Cavelan, Florina M. Ciorba:
An Execution Fingerprint Dictionary for HPC Application Recognition. CLUSTER 2021: 604-608 - [c40]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 - [i2]Thomas Jakobsche, Nicolas Lachiche, Aurélien Cavelan, Florina M. Ciorba:
An Execution Fingerprint Dictionary for HPC Application Recognition. CoRR abs/2109.04766 (2021) - 2020
- [c39]Thomas Guyet, Philippe Besnard, Ahmed Samet, Nasreddine Ben Salha, Nicolas Lachiche:
Énumération des occurrences d'une chronique. EGC 2020: 253-260
2010 – 2019
- 2019
- [j17]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) - [j16]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) - [c38]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
- [e4]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] - [e3]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] - 2017
- [r3]Nicolas Lachiche:
Propositionalization. Encyclopedia of Machine Learning and Data Mining 2017: 1025-1031 - [i1]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
- [j15]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) - [j14]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) - [j13]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) - [c37]Nicolas Lachiche, Alain Shakour:
Nouveaux algorithmes de fouilles de données relationnelles de clowdflows. EGC 2016: 499-504 - [c36]Md. Naimul Hoque, Chowdhury Farhan Ahmed, Nicolas Lachiche, Carson K. Leung, Hao Zhang:
Reframing in Clustering. ICTAI 2016: 350-354 - 2015
- [j12]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) - [j11]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) - [c35]Clément Charnay, Nicolas Lachiche, Agnès Braud:
Approche relationnelle de l'apprentissage de séquences. EGC 2015: 481-482 - [c34]Chowdhury Farhan Ahmed, Md. Samiullah, Nicolas Lachiche, Meelis Kull, Peter A. Flach:
Reframing in Frequent Pattern Mining. ICTAI 2015: 799-806 - [c33]Clément Charnay, Nicolas Lachiche, Agnès Braud:
CARAF: Complex Aggregates within Random Forests. ILP 2015: 15-29 - [c32]Meelis Kull, Nicolas Lachiche, Adolfo Martínez Usó:
Model Reuse with Bike rental Station data (Preamble). DC@PKDD/ECML 2015 - [e2]Adolfo Martínez Usó, João Mendes-Moreira, Luís Moreira-Matias, Meelis Kull, Nicolas Lachiche:
Proceedings of the ECML/PKDD 2015 Discovery Challenges co-located with European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD 2015), Porto, Portugal, September 7-11, 2015. CEUR Workshop Proceedings 1526, CEUR-WS.org 2015 [contents] - 2014
- [j10]Md. Samiullah, Chowdhury Farhan Ahmed, Anna Fariha, Md. Rafiqul Islam, Nicolas Lachiche:
Mining frequent correlated graphs with a new measure. Expert Syst. Appl. 41(4): 1847-1863 (2014) - [j9]André Stumpf, Nicolas Lachiche, Jean-Philippe Malet, Norman Kerle, Anne Puissant:
Active Learning in the Spatial Domain for Remote Sensing Image Classification. IEEE Trans. Geosci. Remote. Sens. 52(5): 2492-2507 (2014) - [c31]Alban Meffre, Nicolas Lachiche, Pierre Gançarski, Christophe Collet:
Détection de situations à risque basée sur des détecteurs de mouvement à domicile pour les personnes dépendantes. EGC 2014: 577-580 - [c30]Chowdhury Farhan Ahmed, Nicolas Lachiche, Clément Charnay, Agnès Braud:
Reframing Continuous Input Attributes. ICTAI 2014: 31-38 - [c29]Chowdhury Farhan Ahmed, Clément Charnay, Nicolas Lachiche, Agnès Braud:
Reframing on Relational Data. ILP 2014: 1-15 - [c28]Clément Charnay, Nicolas Lachiche, Agnès Braud:
Construction of Complex Aggregates with Random Restart Hill-Climbing. ILP 2014: 49-61 - 2013
- [c27]Lina Fahed, Gabriel Frey, Julie Dawn Thompson, Nicolas Lachiche:
Classification multi-étiquettes pour l'alignement multiple de séquences protéiques. EGC 2013: 431-436 - [c26]Clément Charnay, Nicolas Lachiche, Agnès Braud:
Pairwise Optimization of Bayesian Classifiers for Multi-class Cost-Sensitive Learning. ICTAI 2013: 499-505 - [c25]Clément Charnay, Nicolas Lachiche, Agnès Braud:
Incremental Construction of Complex Aggregates: Counting over a Secondary Table. ILP (Late Breaking Papers) 2013: 1-6 - 2012
- [j8]Ogier Maitre, Frédéric Krüger, Stephane Querry, Nicolas Lachiche, Pierre Collet:
EASEA: specification and execution of evolutionary algorithms on GPGPU. Soft Comput. 16(2): 261-279 (2012) - [c24]Patrice Roy, Nicolas Lachiche, Pierre Gançarski, Alban Meffre, Christophe Collet:
Generic architecture for ambient intelligence based on an organizational centered multi-agent approach. UbiComp 2012: 786-789 - [c23]Alban Meffre, Christophe Collet, Nicolas Lachiche, Pierre Gançarski:
Real-Time Fall Detection Method Based on Hidden Markov Modelling. ICISP 2012: 521-530 - [c22]André Stumpf, Nicolas Lachiche, Norman Kerle, Jean-Philippe Malet, Anne Puissant:
Adaptive spatial sampling with active random forest for object-oriented landslide mapping. IGARSS 2012: 87-90 - [c21]Soufiane El Jelali, Agnès Braud, Nicolas Lachiche:
Propositionalisation of Continuous Attributes beyond Simple Aggregation. ILP 2012: 32-44 - 2011
- [j7]Frank Hoonakker, Nicolas Lachiche, Alexandre Varnek, Alain Wagner:
A Representation to Apply Usual Data Mining Techniques to Chemical reactions - Illustration on the Rate Constant of SN2 reactions in water. Int. J. Artif. Intell. Tools 20(2): 253-270 (2011) - [j6]Anne Puissant, Nicolas Lachiche, Grzegorz Skupinski, Agnès Braud, Julien Perret, Annabelle Mas:
Classification et évolution des tissus urbains à partir de données vectorielles. Rev. Int. Géomatique 21(4): 513-532 (2011) - [c20]Ogier Maitre, Nicolas Lachiche, Pierre Collet:
Two Ports of a Full Evolutionary Algorithm onto GPGPU. Artificial Evolution 2011: 97-108 - [c19]Ogier Maitre, Deepak Sharma, Nicolas Lachiche, Pierre Collet:
DISPAR-Tournament: A Parallel Population Reduction Operator That Behaves Like a Tournament. EvoApplications (1) 2011: 284-293 - [c18]Agnès Braud, Nicolas Lachiche:
Propositionaliser des attributs numériques sans les discrétiser, ni les agréger. EGC 2011: 437-442 - 2010
- [j5]Gilles Marcou, Nicolas Lachiche, L. Brillet, J.-M. Paris, Alexandre Varnek:
Learning antibacterial activity against S. Aureus on the Chimiothèque Nationale dataset. J. Cheminformatics 2(S-1): 30 (2010) - [c17]Ogier Maitre, Stephane Querry, Nicolas Lachiche, Pierre Collet:
EASEA parallelization of tree-based Genetic Programming. IEEE Congress on Evolutionary Computation 2010: 1-8 - [c16]Ogier Maitre, Nicolas Lachiche, Pierre Collet:
Fast Evaluation of GP Trees on GPGPU by Optimizing Hardware Scheduling. EuroGP 2010: 301-312 - [c15]Frank Hoonakker, Nicolas Lachiche, Alexandre Varnek, Alain Wagner:
A Representation to Apply Usual Data Mining Techniques to Chemical Reactions. IEA/AIE (2) 2010: 318-326 - [r2]Nicolas Lachiche:
Propositionalization. Encyclopedia of Machine Learning 2010: 812-817
2000 – 2009
- 2009
- [c14]Ogier Maitre, Nicolas Lachiche, Philippe Clauss, Laurent A. Baumes, Avelino Corma, Pierre Collet:
Efficient Parallel Implementation of Evolutionary Algorithms on GPGPU Cards. Euro-Par 2009: 974-985 - [c13]Ogier Maitre, Laurent A. Baumes, Nicolas Lachiche, Avelino Corma, Pierre Collet:
Coarse grain parallelization of evolutionary algorithms on GPGPU cards with EASEA. GECCO 2009: 1403-1410 - [c12]Julien Lesbegueries, Nicolas Lachiche, Agnès Braud, Grzegorz Skupinski, Anne Puissant, Julien Perret:
A Platform for Spatial Data Labeling in an Urban Context. OGRS 2009: 49-61 - [r1]Nicolas Lachiche:
Receiver Operating Characteristic (ROC) Analysis. Encyclopedia of Data Warehousing and Mining 2009: 1675-1681 - 2008
- [c11]Ariel Tchougang, Alexandre Blansché, Laurent A. Baumes, Nicolas Lachiche, Pierre Collet:
Testing the CAX on a Real-World Problem and Other Benchmarks. PPSN 2008: 599-609 - 2006
- [j4]Igor V. Tetko, Vitaly P. Solov'ev, Alexey V. Antonov, Xiaojun Yao, Jean-Pierre Doucet, Bo Tao Fan, Frank Hoonakker, Denis Fourches, Piere Jost, Nicolas Lachiche, Alexandre Varnek:
Benchmarking of Linear and Nonlinear Approaches for Quantitative Structure-Property Relationship Studies of Metal Complexation with Ionophores. J. Chem. Inf. Model. 46(2): 808-819 (2006) - [c10]Sébastien Derivaux, Agnès Braud, Nicolas Lachiche:
Prédiction de la solubilité d'une molécule à partir des seules données relationnelles. EGC 2006: 669-674 - 2005
- [c9]Nicolas Lachiche:
Good and Bad Practices in Propositionalisation. AI*IA 2005: 50-61 - [c8]Jerzy Korczak, Jean Hommet, Nicolas Lachiche, Christian Scheiber:
Exploration visuelle d'images IRMf basée sur des Gaz Neuronaux Croissants. EGC (Ateliers) 2005: 329-338 - [c7]Nicolas Lachiche, Jean Hommet, Jerzy Korczak, Agnès Braud:
Neuronal Clustering of Brain fMRI Images. PReMI 2005: 300-305 - 2004
- [j3]Peter A. Flach, Nicolas Lachiche:
Naive Bayesian Classification of Structured Data. Mach. Learn. 57(3): 233-269 (2004) - [j2]José Hernández-Orallo, César Ferri, Nicolas Lachiche, Peter A. Flach:
The 1st workshop on ROC analysis in artificial intelligence (ROCAI-2004). SIGKDD Explor. 6(2): 159-161 (2004) - [e1]José Hernández-Orallo, César Ferri, Nicolas Lachiche, Peter A. Flach:
ROC Analysis in Artificial Intelligence, 1st International Workshop, ROCAI-2004, Valencia, Spain, August 22, 2004. 2004 [contents] - 2003
- [c6]Nicolas Lachiche, Peter A. Flach:
Improving Accuracy and Cost of Two-class and Multi-class Probabilistic Classifiers Using ROC Curves. ICML 2003: 416-423 - 2002
- [c5]Nicolas Lachiche, Peter A. Flach:
1BC2: A True First-Order Bayesian Classifier. ILP 2002: 133-148 - 2001
- [j1]Peter A. Flach, Nicolas Lachiche:
Confirmation-Guided Discovery of First-Order Rules with Tertius. Mach. Learn. 42(1/2): 61-95 (2001) - 2000
- [c4]Peter A. Flach, Nicolas Lachiche:
Decomposing Probability Distributions on Structured Individuals. ILP Work-in-progress reports 2000
1990 – 1999
- 1999
- [c3]Peter A. Flach, Nicolas Lachiche:
IBC: A First-Order Bayesian Classifier. ILP 1999: 92-103 - 1998
- [c2]Nicolas Lachiche, Pierre Marquis:
Scope Classification: An Instance-Based Learning Algorithm with a Rule-Based Characterisation. ECML 1998: 268-279 - 1997
- [b1]Nicolas Lachiche:
De l'induction confirmatoire à la classification : contribution à l'apprentissage automatique. Henri Poincaré University, Nancy, France, 1997 - [c1]Nicolas Lachiche, Pierre Marquis:
A Model for Generalization Based on Confirmatory Induction. ECML 1997: 154-161
Coauthor Index
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last updated on 2025-01-20 22:54 CET by the dblp team
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