A Model for Generalization Based on Confirmatory Induction. - Nicolas Lachiche; Pierre Marquis (ECML, 1997)

De l'induction confirmatoire à la classification : contribution à l'apprentissage automatique. - Nicolas Lachiche (1997)

Scope Classification: An Instance-Based Learning Algorithm with a Rule-Based Characterisation. - Nicolas Lachiche; Pierre Marquis (ECML, 1998)

IBC: A First-Order Bayesian Classifier. - Peter A. Flach; Nicolas Lachiche (ILP, 1999)

Decomposing Probability Distributions on Structured Individuals. - Peter A. Flach; Nicolas Lachiche (ILP Work-in-progress reports, 2000)

Confirmation-Guided Discovery of First-Order Rules with Tertius. - Peter A. Flach; Nicolas Lachiche (Mach. Learn., 2001)

1BC2: A True First-Order Bayesian Classifier. - Nicolas Lachiche; Peter A. Flach (ILP, 2002)

Improving Accuracy and Cost of Two-class and Multi-class Probabilistic Classifiers Using ROC Curves. - Nicolas Lachiche; Peter A. Flach (ICML, 2003)

Naive Bayesian Classification of Structured Data. - Peter A. Flach; Nicolas Lachiche (Mach. Learn., 2004)

The 1st workshop on ROC analysis in artificial intelligence (ROCAI-2004). - José Hernández-Orallo; César Ferri; Nicolas Lachiche; Peter A. Flach (SIGKDD Explor., 2004)

Good and Bad Practices in Propositionalisation. - Nicolas Lachiche (AI*IA, 2005)

Exploration visuelle d'images IRMf basée sur des Gaz Neuronaux Croissants. - Jerzy Korczak 001; Jean Hommet; Nicolas Lachiche; Christian Scheiber (EGC (Ateliers), 2005)

Neuronal Clustering of Brain fMRI Images. - Nicolas Lachiche; Jean Hommet; Jerzy Korczak 001; Agnès Braud (PReMI, 2005)

Prédiction de la solubilité d'une molécule à partir des seules données relationnelles. - Sébastien Derivaux; Agnès Braud; Nicolas Lachiche (EGC, 2006)

Benchmarking of Linear and Nonlinear Approaches for Quantitative Structure-Property Relationship Studies of Metal Complexation with Ionophores. - 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 (J. Chem. Inf. Model., 2006)

Testing the CAX on a Real-World Problem and Other Benchmarks. - Ariel Tchougang; Alexandre Blansché; Laurent A. Baumes; Nicolas Lachiche; Pierre Collet (PPSN, 2008)

Efficient Parallel Implementation of Evolutionary Algorithms on GPGPU Cards. - Ogier Maitre; Nicolas Lachiche; Philippe Clauss; Laurent A. Baumes; Avelino Corma; Pierre Collet (Euro-Par, 2009)

Coarse grain parallelization of evolutionary algorithms on GPGPU cards with EASEA. - Ogier Maitre; Laurent A. Baumes; Nicolas Lachiche; Avelino Corma; Pierre Collet (GECCO, 2009)

A Platform for Spatial Data Labeling in an Urban Context. - Julien Lesbegueries; Nicolas Lachiche; Agnès Braud; Grzegorz Skupinski; Anne Puissant; Julien Perret (OGRS, 2009)

Receiver Operating Characteristic (ROC) Analysis. - Nicolas Lachiche (Encyclopedia of Data Warehousing and Mining, 2009)

EASEA parallelization of tree-based Genetic Programming. - Ogier Maitre; Stephane Querry; Nicolas Lachiche; Pierre Collet (IEEE Congress on Evolutionary Computation, 2010)

Fast Evaluation of GP Trees on GPGPU by Optimizing Hardware Scheduling. - Ogier Maitre; Nicolas Lachiche; Pierre Collet (EuroGP, 2010)

A Representation to Apply Usual Data Mining Techniques to Chemical Reactions. - Frank Hoonakker; Nicolas Lachiche; Alexandre Varnek; Alain Wagner (IEA/AIE (2), 2010)

Learning antibacterial activity against S. Aureus on the Chimiothèque Nationale dataset. - Gilles Marcou; Nicolas Lachiche; L. Brillet; J.-M. Paris; Alexandre Varnek (J. Cheminformatics, 2010)

Propositionalization. - Nicolas Lachiche (Encyclopedia of Machine Learning, 2010)

Two Ports of a Full Evolutionary Algorithm onto GPGPU. - Ogier Maitre; Nicolas Lachiche; Pierre Collet (Artificial Evolution, 2011)

DISPAR-Tournament: A Parallel Population Reduction Operator That Behaves Like a Tournament. - Ogier Maitre; Deepak Sharma 001; Nicolas Lachiche; Pierre Collet (EvoApplications (1), 2011)

Propositionaliser des attributs numériques sans les discrétiser, ni les agréger. - Agnès Braud; Nicolas Lachiche (EGC, 2011)

A Representation to Apply Usual Data Mining Techniques to Chemical reactions - Illustration on the Rate Constant of SN2 reactions in water. - Frank Hoonakker; Nicolas Lachiche; Alexandre Varnek; Alain Wagner (Int. J. Artif. Intell. Tools, 2011)

Classification et évolution des tissus urbains à partir de données vectorielles. - Anne Puissant; Nicolas Lachiche; Grzegorz Skupinski; Agnès Braud; Julien Perret; Annabelle Mas (Rev. Int. Géomatique, 2011)

Generic architecture for ambient intelligence based on an organizational centered multi-agent approach. - Patrice Roy; Nicolas Lachiche; Pierre Gançarski; Alban Meffre; Christophe Collet 001 (UbiComp, 2012)

Real-Time Fall Detection Method Based on Hidden Markov Modelling. - Alban Meffre; Christophe Collet 001; Nicolas Lachiche; Pierre Gançarski (ICISP, 2012)

Adaptive spatial sampling with active random forest for object-oriented landslide mapping. - André Stumpf; Nicolas Lachiche; Norman Kerle; Jean-Philippe Malet; Anne Puissant (IGARSS, 2012)

Propositionalisation of Continuous Attributes beyond Simple Aggregation. - Soufiane El Jelali; Agnès Braud; Nicolas Lachiche (ILP, 2012)

EASEA: specification and execution of evolutionary algorithms on GPGPU. - Ogier Maitre; Frédéric Krüger; Stephane Querry; Nicolas Lachiche; Pierre Collet (Soft Comput., 2012)

Classification multi-étiquettes pour l'alignement multiple de séquences protéiques. - Lina Fahed; Gabriel Frey; Julie Dawn Thompson; Nicolas Lachiche (EGC, 2013)

Pairwise Optimization of Bayesian Classifiers for Multi-class Cost-Sensitive Learning. - Clément Charnay; Nicolas Lachiche; Agnès Braud (ICTAI, 2013)

Incremental Construction of Complex Aggregates: Counting over a Secondary Table. - Clément Charnay; Nicolas Lachiche; Agnès Braud (ILP (Late Breaking Papers), 2013)

Détection de situations à risque basée sur des détecteurs de mouvement à domicile pour les personnes dépendantes. - Alban Meffre; Nicolas Lachiche; Pierre Gançarski; Christophe Collet 001 (EGC, 2014)

Reframing Continuous Input Attributes. - Chowdhury Farhan Ahmed; Nicolas Lachiche; Clément Charnay; Agnès Braud (ICTAI, 2014)

Reframing on Relational Data. - Chowdhury Farhan Ahmed; Clément Charnay; Nicolas Lachiche; Agnès Braud (ILP, 2014)

Construction of Complex Aggregates with Random Restart Hill-Climbing. - Clément Charnay; Nicolas Lachiche; Agnès Braud (ILP, 2014)

Mining frequent correlated graphs with a new measure. - Md. Samiullah 001; Chowdhury Farhan Ahmed; Anna Fariha; Md. Rafiqul Islam 001; Nicolas Lachiche (Expert Syst. Appl., 2014)

Active Learning in the Spatial Domain for Remote Sensing Image Classification. - André Stumpf; Nicolas Lachiche; Jean-Philippe Malet; Norman Kerle; Anne Puissant (IEEE Trans. Geosci. Remote. Sens., 2014)

Approche relationnelle de l'apprentissage de séquences. - Clément Charnay; Nicolas Lachiche; Agnès Braud (EGC, 2015)

Reframing in Frequent Pattern Mining. - Chowdhury Farhan Ahmed; Md. Samiullah 001; Nicolas Lachiche; Meelis Kull; Peter A. Flach (ICTAI, 2015)

CARAF: Complex Aggregates within Random Forests. - Clément Charnay; Nicolas Lachiche; Agnès Braud (ILP, 2015)

Model Reuse with Bike rental Station data (Preamble). - Meelis Kull; Nicolas Lachiche; Adolfo Martínez Usó (DC@PKDD/ECML, 2015)

Flexible propositionalization of continuous attributes in relational data mining. - Chowdhury Farhan Ahmed; Nicolas Lachiche; Clément Charnay; Soufiane El Jelali; Agnès Braud (Expert Syst. Appl., 2015)

Report of the First International Workshop on Learning over Multiple Contexts (LMCE 2014). - Cèsar Ferri Ramirez; Peter A. Flach; Nicolas Lachiche (SIGKDD Explor., 2015)

Nouveaux algorithmes de fouilles de données relationnelles de clowdflows. - Nicolas Lachiche; Alain Shakour (EGC, 2016)

Reframing in Clustering. - Md. Naimul Hoque; Chowdhury Farhan Ahmed; Nicolas Lachiche; Carson K. Leung; Hao Zhang 027 (ICTAI, 2016)

Comparison of sampling strategies for object-based classification of urban vegetation from Very High Resolution satellite images. - Simon Rougier; Anne Puissant; André Stumpf; Nicolas Lachiche (Int. J. Appl. Earth Obs. Geoinformation, 2016)

Reframing in context: A systematic approach for model reuse in machine learning. - José Hernández-Orallo; Adolfo Martínez Usó; Ricardo B. C. Prudêncio; Meelis Kull; Peter A. Flach; Chowdhury Farhan Ahmed; Nicolas Lachiche (AI Commun., 2016)

Binarised regression tasks: methods and evaluation metrics. - José Hernández-Orallo; César Ferri; Nicolas Lachiche; Adolfo Martínez Usó; M. José Ramírez-Quintana (Data Min. Knowl. Discov., 2016)

CASP-DM: Context Aware Standard Process for Data Mining. - Fernando Martínez-Plumed; Lidia Contreras Ochando; César Ferri; Peter A. Flach; José Hernández-Orallo; Meelis Kull; Nicolas Lachiche; María José Ramírez-Quintana (CoRR, 2017)

Propositionalization. - Nicolas Lachiche (Encyclopedia of Machine Learning and Data Mining, 2017)

Résistance au bruit et à la rareté de la détection d'anomalies par arbre de décision de systèmes physiques simulés. - Nesrine Bannour; Anne Jeannin-Girardon; Nicolas Lachiche; Etienne Schneider (EGC, 2019)

A scalable robust and automatic propositionalization approach for Bayesian classification of large mixed numerical and categorical data. - Marc Boullé; Clément Charnay; Nicolas Lachiche (Mach. Learn., 2019)

Preface to special issue on Inductive Logic Programming, ILP 2017 and 2018. - Nicolas Lachiche; Christel Vrain; Fabrizio Riguzzi; Elena Bellodi; Riccardo Zese (Mach. Learn., 2019)

Énumération des occurrences d'une chronique. - Thomas Guyet; Philippe Besnard; Ahmed Samet; Nasreddine Ben Salha; Nicolas Lachiche (EGC, 2020)

An Execution Fingerprint Dictionary for HPC Application Recognition. - Thomas Jakobsche; Nicolas Lachiche; Aurélien Cavelan; Florina M. Ciorba (CLUSTER, 2021)

Analyzing the composition of remedies in ancient pharmacopeiae with FCA. - Agnès Braud; Xavier Dolques; Pierre Fechter; Nicolas Lachiche; Florence Le Ber; Véronique Pitchon (RealDataFCA@ICFCA, 2021)

Identifying Benchmarks for Failure Prediction in Industry 4.0. - Mouhamadou Saliou Diallo; Sidahmed Mokeddem; Agnès Braud; Gabriel Frey; Nicolas Lachiche (Informatics, 2021)

CRISP-DM Twenty Years Later: From Data Mining Processes to Data Science Trajectories. - Fernando Martínez-Plumed; Lidia Contreras Ochando; Cèsar Ferri; José Hernández-Orallo; Meelis Kull; Nicolas Lachiche; María José Ramírez-Quintana; Peter A. Flach (IEEE Trans. Knowl. Data Eng., 2021)

Apprentissage automatique basé sur l'agrégation pour la prédiction de liens dans les réseaux d'interactions protéine-protéine. - Hajer Akid; Kirsley Chennen; Gabriel Frey; Julie Dawn Thompson; Mounir Ben Ayed; Nicolas Lachiche (EGC, 2022)

Performance of NoSQL Graph Implementations of Star vs. Snowflake Schemas. - Hajer Akid; Gabriel Frey; Mounir Ben Ayed; Nicolas Lachiche (IEEE Access, 2022)

Challenges and Opportunities of Machine Learning for Monitoring and Operational Data Analytics in Quantitative Codesign of Supercomputers. - Thomas Jakobsche; Nicolas Lachiche; Florina M. Ciorba (CoRR, 2022)

Prise en compte de données séquentielles hétérogènes dans l'apprentissage profond : application aux données de soins intensifs. - Mamadou Ben Hamidou Cissoko; Vincent Castelain; Nicolas Lachiche (EGC, 2023)

Investigating HPC Job Resource Requests and Job Efficiency Reporting. - Thomas Jakobsche; Nicolas Lachiche; Florina M. Ciorba (ISPDC, 2023)

Modeling Temporal Dynamics in Irregular ICU Data Using MWTA-LSTM. - Mamadou Ben Hamidou Cissoko; Vincent Castelain; Nicolas Lachiche (EPIA (2), 2024)

Écrêter la valeur cible ou filtrer les données en maintenance prévisionnelle : exemple de C-MAPSS. - Nassime Mountasir; Baptiste Lafabregue; Bruno Albert; Nicolas Lachiche (EGC, 2024)

Graph-based machine learning model for weight prediction in protein-protein networks. - Hajer Akid; Kirsley Chennen; Gabriel Frey; Julie Dawn Thompson; Mounir Ben Ayed; Nicolas Lachiche (BMC Bioinform., 2024)

Multi-Way adaptive Time Aware LSTM for irregularly collected sequential ICU data. - Mamadou Ben Hamidou Cissoko; Vincent Castelain; Nicolas Lachiche (Expert Syst. Appl., 2025)

Predicting and interpreting healthcare trajectories from irregularly collected sequential patient data using AMITA. - Mamadou Ben Hamidou Cissoko; Vincent Castelain; Nicolas Lachiche (Inf. Sci., 2025)