Nicolas Lachiche

81 papers A* 1A 2B 13C 4Misc 1Journal 27Unranked 26

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Visualization for Comparative Analysis of Regression Models. CoRR Nassime Mountasir, Baptiste Lafabregue, Bruno Albert, Nicolas Lachiche
2025	J	`jnl`	Multi-Way adaptive Time Aware LSTM for irregularly collected sequential ICU data. Expert Syst. Appl. Mamadou Ben Hamidou Cissoko, Vincent Castelain, Nicolas Lachiche
2025	J	`jnl`	Predicting and interpreting healthcare trajectories from irregularly collected sequential patient data using AMITA. Inf. Sci. Mamadou Ben Hamidou Cissoko, Vincent Castelain, Nicolas Lachiche
2024	J	`jnl`	Graph-based machine learning model for weight prediction in protein-protein networks. BMC Bioinform. Hajer Akid, Kirsley Chennen, Gabriel Frey, Julie Dawn Thompson, Mounir Ben Ayed, Nicolas Lachiche
2024	—	`conf`	Modeling Temporal Dynamics in Irregular ICU Data Using MWTA-LSTM. EPIA (2) Mamadou Ben Hamidou Cissoko, Vincent Castelain, Nicolas Lachiche
2024	—	`conf`	Écrêter la valeur cible ou filtrer les données en maintenance prévisionnelle : exemple de C-MAPSS. EGC Nassime Mountasir, Baptiste Lafabregue, Bruno Albert, Nicolas Lachiche
2023	C	`conf`	Investigating HPC Job Resource Requests and Job Efficiency Reporting. ISPDC Thomas Jakobsche, Nicolas Lachiche, Florina M. Ciorba
2023	—	`conf`	Prise en compte de données séquentielles hétérogènes dans l'apprentissage profond : application aux données de soins intensifs. EGC Mamadou Ben Hamidou Cissoko, Vincent Castelain, Nicolas Lachiche
2022	—	`conf`	Apprentissage automatique basé sur l'agrégation pour la prédiction de liens dans les réseaux d'interactions protéine-protéine. EGC Hajer Akid, Kirsley Chennen, Gabriel Frey, Julie Dawn Thompson, Mounir Ben Ayed, Nicolas Lachiche
2022	J	`jnl`	Challenges and Opportunities of Machine Learning for Monitoring and Operational Data Analytics in Quantitative Codesign of Supercomputers. CoRR Thomas Jakobsche, Nicolas Lachiche, Florina M. Ciorba
2022	J	`jnl`	Performance of NoSQL Graph Implementations of Star vs. Snowflake Schemas. IEEE Access Hajer Akid, Gabriel Frey, Mounir Ben Ayed, Nicolas Lachiche
2021	C	`conf`	An Execution Fingerprint Dictionary for HPC Application Recognition. CLUSTER Thomas Jakobsche, Nicolas Lachiche, Aurélien Cavelan, Florina M. Ciorba
2021	J	`jnl`	An Execution Fingerprint Dictionary for HPC Application Recognition. CoRR Thomas Jakobsche, Nicolas Lachiche, Aurélien Cavelan, Florina M. Ciorba
2021	—	`conf`	Analyzing the composition of remedies in ancient pharmacopeiae with FCA. RealDataFCA@ICFCA Agnès Braud, Xavier Dolques, Pierre Fechter, Nicolas Lachiche, Florence Le Ber, Véronique Pitchon
2021	J	`jnl`	CRISP-DM Twenty Years Later: From Data Mining Processes to Data Science Trajectories. IEEE Trans. Knowl. Data Eng. Fernando Martínez-Plumed, Lidia Contreras Ochando, Cèsar Ferri, José Hernández-Orallo, Meelis Kull, Nicolas Lachiche, María José Ramírez-Quintana, Peter A. Flach
2021	J	`jnl`	Identifying Benchmarks for Failure Prediction in Industry 4.0. Informatics Mouhamadou Saliou Diallo, Sidahmed Mokeddem, Agnès Braud, Gabriel Frey, Nicolas Lachiche
2020	—	`conf`	Énumération des occurrences d'une chronique. EGC Thomas Guyet, Philippe Besnard, Ahmed Samet, Nasreddine Ben Salha, Nicolas Lachiche
2019	J	`jnl`	A scalable robust and automatic propositionalization approach for Bayesian classification of large mixed numerical and categorical data. Mach. Learn. Marc Boullé, Clément Charnay, Nicolas Lachiche
2019	J	`jnl`	Preface to special issue on Inductive Logic Programming, ILP 2017 and 2018. Mach. Learn. Nicolas Lachiche, Christel Vrain, Fabrizio Riguzzi, Elena Bellodi, Riccardo Zese
2019	—	`conf`	Résistance au bruit et à la rareté de la détection d'anomalies par arbre de décision de systèmes physiques simulés. EGC Nesrine Bannour, Anne Jeannin-Girardon, Nicolas Lachiche, Etienne Schneider
2018	B	`ed.`	Inductive Logic Programming - 27th International Conference, ILP 2017, Orléans, France, September 4-6, 2017, Revised Selected Papers ILP Nicolas Lachiche, Christel Vrain
2018	—	`ed.`	Late Breaking Papers of the 27th International Conference on Inductive Logic Programming, Orléans, France, September 4-6, 2017. ILP (Late Breaking Papers) Nicolas Lachiche, Christel Vrain
2017	J	`jnl`	CASP-DM: Context Aware Standard Process for Data Mining. CoRR Fernando Martínez-Plumed, Lidia Contreras Ochando, César Ferri, Peter A. Flach, José Hernández-Orallo, Meelis Kull, Nicolas Lachiche, María José Ramírez-Quintana
2017	—	`ch.`	Propositionalization. Encyclopedia of Machine Learning and Data Mining Nicolas Lachiche
2016	J	`jnl`	Binarised regression tasks: methods and evaluation metrics. Data Min. Knowl. Discov. José Hernández-Orallo, César Ferri, Nicolas Lachiche, Adolfo Martínez Usó, M. José Ramírez-Quintana
2016	J	`jnl`	Comparison of sampling strategies for object-based classification of urban vegetation from Very High Resolution satellite images. Int. J. Appl. Earth Obs. Geoinformation Simon Rougier, Anne Puissant, André Stumpf, Nicolas Lachiche
2016	—	`conf`	Nouveaux algorithmes de fouilles de données relationnelles de clowdflows. EGC Nicolas Lachiche, Alain Shakour
2016	B	`conf`	Reframing in Clustering. ICTAI Md. Naimul Hoque, Chowdhury Farhan Ahmed, Nicolas Lachiche, Carson K. Leung, Hao Zhang
2016	J	`jnl`	Reframing in context: A systematic approach for model reuse in machine learning. AI Commun. José Hernández-Orallo, Adolfo Martínez Usó, Ricardo B. C. Prudêncio, Meelis Kull, Peter A. Flach, Chowdhury Farhan Ahmed, Nicolas Lachiche
2015	—	`conf`	Approche relationnelle de l'apprentissage de séquences. EGC Clément Charnay, Nicolas Lachiche, Agnès Braud
2015	B	`conf`	CARAF: Complex Aggregates within Random Forests. ILP Clément Charnay, Nicolas Lachiche, Agnès Braud
2015	J	`jnl`	Flexible propositionalization of continuous attributes in relational data mining. Expert Syst. Appl. Chowdhury Farhan Ahmed, Nicolas Lachiche, Clément Charnay, Soufiane El Jelali, Agnès Braud
2015	—	`conf`	Model Reuse with Bike rental Station data (Preamble). DC@PKDD/ECML Meelis Kull, Nicolas Lachiche, Adolfo Martínez Usó
2015	—	`ed.`	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. DC@ECML/PKDD Adolfo Martínez Usó, João Mendes-Moreira, Luís Moreira-Matias, Meelis Kull, Nicolas Lachiche
2015	B	`conf`	Reframing in Frequent Pattern Mining. ICTAI Chowdhury Farhan Ahmed, Md. Samiullah, Nicolas Lachiche, Meelis Kull, Peter A. Flach
2015	J	`jnl`	Report of the First International Workshop on Learning over Multiple Contexts (LMCE 2014). SIGKDD Explor. Cèsar Ferri Ramirez, Peter A. Flach, Nicolas Lachiche
2014	J	`jnl`	Active Learning in the Spatial Domain for Remote Sensing Image Classification. IEEE Trans. Geosci. Remote. Sens. André Stumpf, Nicolas Lachiche, Jean-Philippe Malet, Norman Kerle, Anne Puissant
2014	B	`conf`	Construction of Complex Aggregates with Random Restart Hill-Climbing. ILP Clément Charnay, Nicolas Lachiche, Agnès Braud
2014	—	`conf`	Détection de situations à risque basée sur des détecteurs de mouvement à domicile pour les personnes dépendantes. EGC Alban Meffre, Nicolas Lachiche, Pierre Gançarski, Christophe Collet
2014	J	`jnl`	Mining frequent correlated graphs with a new measure. Expert Syst. Appl. Md. Samiullah, Chowdhury Farhan Ahmed, Anna Fariha, Md. Rafiqul Islam, Nicolas Lachiche
2014	B	`conf`	Reframing Continuous Input Attributes. ICTAI Chowdhury Farhan Ahmed, Nicolas Lachiche, Clément Charnay, Agnès Braud
2014	B	`conf`	Reframing on Relational Data. ILP Chowdhury Farhan Ahmed, Clément Charnay, Nicolas Lachiche, Agnès Braud
2013	—	`conf`	Classification multi-étiquettes pour l'alignement multiple de séquences protéiques. EGC Lina Fahed, Gabriel Frey, Julie Dawn Thompson, Nicolas Lachiche
2013	—	`conf`	Incremental Construction of Complex Aggregates: Counting over a Secondary Table. ILP (Late Breaking Papers) Clément Charnay, Nicolas Lachiche, Agnès Braud
2013	B	`conf`	Pairwise Optimization of Bayesian Classifiers for Multi-class Cost-Sensitive Learning. ICTAI Clément Charnay, Nicolas Lachiche, Agnès Braud
2012	C	`conf`	Adaptive spatial sampling with active random forest for object-oriented landslide mapping. IGARSS André Stumpf, Nicolas Lachiche, Norman Kerle, Jean-Philippe Malet, Anne Puissant
2012	J	`jnl`	EASEA: specification and execution of evolutionary algorithms on GPGPU. Soft Comput. Ogier Maitre, Frédéric Krüger, Stephane Querry, Nicolas Lachiche, Pierre Collet
2012	Misc	`conf`	Generic architecture for ambient intelligence based on an organizational centered multi-agent approach. UbiComp Patrice Roy, Nicolas Lachiche, Pierre Gançarski, Alban Meffre, Christophe Collet
2012	B	`conf`	Propositionalisation of Continuous Attributes beyond Simple Aggregation. ILP Soufiane El Jelali, Agnès Braud, Nicolas Lachiche
2012	C	`conf`	Real-Time Fall Detection Method Based on Hidden Markov Modelling. ICISP Alban Meffre, Christophe Collet, Nicolas Lachiche, Pierre Gançarski
2011	J	`jnl`	A Representation to Apply Usual Data Mining Techniques to Chemical reactions - Illustration on the Rate Constant of S Int. J. Artif. Intell. Tools Frank Hoonakker, Nicolas Lachiche, Alexandre Varnek, Alain Wagner
2011	J	`jnl`	Classification et évolution des tissus urbains à partir de données vectorielles. Rev. Int. Géomatique Anne Puissant, Nicolas Lachiche, Grzegorz Skupinski, Agnès Braud, Julien Perret, Annabelle Mas
2011	—	`conf`	DISPAR-Tournament: A Parallel Population Reduction Operator That Behaves Like a Tournament. EvoApplications (1) Ogier Maitre, Deepak Sharma, Nicolas Lachiche, Pierre Collet
2011	—	`conf`	Propositionaliser des attributs numériques sans les discrétiser, ni les agréger. EGC Agnès Braud, Nicolas Lachiche
2011	—	`conf`	Two Ports of a Full Evolutionary Algorithm onto GPGPU. Artificial Evolution Ogier Maitre, Nicolas Lachiche, Pierre Collet
2010	—	`conf`	A Representation to Apply Usual Data Mining Techniques to Chemical Reactions. IEA/AIE (2) Frank Hoonakker, Nicolas Lachiche, Alexandre Varnek, Alain Wagner
2010	B	`conf`	EASEA parallelization of tree-based Genetic Programming. IEEE Congress on Evolutionary Computation Ogier Maitre, Stephane Querry, Nicolas Lachiche, Pierre Collet
2010	B	`conf`	Fast Evaluation of GP Trees on GPGPU by Optimizing Hardware Scheduling. EuroGP Ogier Maitre, Nicolas Lachiche, Pierre Collet
2010	J	`jnl`	Learning antibacterial activity against S. Aureus on the Chimiothèque Nationale dataset. J. Cheminformatics Gilles Marcou, Nicolas Lachiche, L. Brillet, J.-M. Paris, Alexandre Varnek
2010	—	`ch.`	Propositionalization. Encyclopedia of Machine Learning Nicolas Lachiche
2009	—	`conf`	A Platform for Spatial Data Labeling in an Urban Context. OGRS Julien Lesbegueries, Nicolas Lachiche, Agnès Braud, Grzegorz Skupinski, Anne Puissant, Julien Perret
2009	A	`conf`	Coarse grain parallelization of evolutionary algorithms on GPGPU cards with EASEA. GECCO Ogier Maitre, Laurent A. Baumes, Nicolas Lachiche, Avelino Corma, Pierre Collet
2009	—	`conf`	Efficient Parallel Implementation of Evolutionary Algorithms on GPGPU Cards. Euro-Par Ogier Maitre, Nicolas Lachiche, Philippe Clauss, Laurent A. Baumes, Avelino Corma, Pierre Collet
2009	—	`ch.`	Receiver Operating Characteristic (ROC) Analysis. Encyclopedia of Data Warehousing and Mining Nicolas Lachiche
2008	A	`conf`	Testing the CAX on a Real-World Problem and Other Benchmarks. PPSN Ariel Tchougang, Alexandre Blansché, Laurent A. Baumes, Nicolas Lachiche, Pierre Collet
2006	J	`jnl`	Benchmarking of Linear and Nonlinear Approaches for Quantitative Structure-Property Relationship Studies of Metal Complexation with Ionophores. J. Chem. Inf. Model. 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
2006	—	`conf`	Prédiction de la solubilité d'une molécule à partir des seules données relationnelles. EGC Sébastien Derivaux, Agnès Braud, Nicolas Lachiche
2005	—	`conf`	Exploration visuelle d'images IRMf basée sur des Gaz Neuronaux Croissants. EGC (Ateliers) Jerzy Korczak, Jean Hommet, Nicolas Lachiche, Christian Scheiber
2005	—	`conf`	Good and Bad Practices in Propositionalisation. AI*IA Nicolas Lachiche
2005	—	`conf`	Neuronal Clustering of Brain fMRI Images. PReMI Nicolas Lachiche, Jean Hommet, Jerzy Korczak, Agnès Braud
2004	J	`jnl`	Naive Bayesian Classification of Structured Data. Mach. Learn. Peter A. Flach, Nicolas Lachiche
2004	—	`ed.`	ROC Analysis in Artificial Intelligence, 1st International Workshop, ROCAI-2004, Valencia, Spain, August 22, 2004 ROCAI José Hernández-Orallo, César Ferri, Nicolas Lachiche, Peter A. Flach
2004	J	`jnl`	The 1st workshop on ROC analysis in artificial intelligence (ROCAI-2004). SIGKDD Explor. José Hernández-Orallo, César Ferri, Nicolas Lachiche, Peter A. Flach
2003	A*	`conf`	Improving Accuracy and Cost of Two-class and Multi-class Probabilistic Classifiers Using ROC Curves. ICML Nicolas Lachiche, Peter A. Flach
2002	B	`conf`	1BC2: A True First-Order Bayesian Classifier. ILP Nicolas Lachiche, Peter A. Flach
2001	J	`jnl`	Confirmation-Guided Discovery of First-Order Rules with Tertius. Mach. Learn. Peter A. Flach, Nicolas Lachiche
2000	—	`conf`	Decomposing Probability Distributions on Structured Individuals. ILP Work-in-progress reports Peter A. Flach, Nicolas Lachiche
1999	B	`conf`	IBC: A First-Order Bayesian Classifier. ILP Peter A. Flach, Nicolas Lachiche
1998	—	`conf`	Scope Classification: An Instance-Based Learning Algorithm with a Rule-Based Characterisation. ECML Nicolas Lachiche, Pierre Marquis
1997	—	`conf`	A Model for Generalization Based on Confirmatory Induction. ECML Nicolas Lachiche, Pierre Marquis
1997	—	`—`	De l'induction confirmatoire à la classification : contribution à l'apprentissage automatique. Nicolas Lachiche