Nicolas Lachiche

Orcid: 0000-0003-4318-4252

According to our database1, Nicolas Lachiche authored at least 70 papers between 1997 and 2023.

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

Timeline

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Bibliography

2023
Investigating HPC Job Resource Requests and Job Efficiency Reporting.
Proceedings of the 22nd International Symposium on Parallel and Distributed Computing, 2023

Prise en compte de données séquentielles hétérogènes dans l'apprentissage profond : application aux données de soins intensifs.
Proceedings of the Extraction et Gestion des Connaissances, 2023

2022
Challenges and Opportunities of Machine Learning for Monitoring and Operational Data Analytics in Quantitative Codesign of Supercomputers.
CoRR, 2022

Performance of NoSQL Graph Implementations of Star vs. Snowflake Schemas.
IEEE Access, 2022

Apprentissage automatique basé sur l'agrégation pour la prédiction de liens dans les réseaux d'interactions protéine-protéine.
Proceedings of the Extraction et Gestion des Connaissances, 2022

2021
CRISP-DM Twenty Years Later: From Data Mining Processes to Data Science Trajectories.
IEEE Trans. Knowl. Data Eng., 2021

Identifying Benchmarks for Failure Prediction in Industry 4.0.
Informatics, 2021

Analyzing the composition of remedies in ancient pharmacopeiae with FCA.
Proceedings of the Workshop Analyzing Real Data with Formal Concept Analysis co-located with 16th International Conference on Formal Concept Analysis (ICFCA 2021), 2021

An Execution Fingerprint Dictionary for HPC Application Recognition.
Proceedings of the IEEE International Conference on Cluster Computing, 2021

2020
Énumération des occurrences d'une chronique.
Proceedings of the Extraction et Gestion des Connaissances, 2020

2019
Preface to special issue on Inductive Logic Programming, ILP 2017 and 2018.
Mach. Learn., 2019

A scalable robust and automatic propositionalization approach for Bayesian classification of large mixed numerical and categorical data.
Mach. Learn., 2019

Résistance au bruit et à la rareté de la détection d'anomalies par arbre de décision de systèmes physiques simulés.
Proceedings of the Extraction et Gestion des connaissances, 2019

2017
Propositionalization.
Proceedings of the Encyclopedia of Machine Learning and Data Mining, 2017

CASP-DM: Context Aware Standard Process for Data Mining.
CoRR, 2017

2016
Binarised regression tasks: methods and evaluation metrics.
Data Min. Knowl. Discov., 2016

Reframing in context: A systematic approach for model reuse in machine learning.
AI Commun., 2016

Comparison of sampling strategies for object-based classification of urban vegetation from Very High Resolution satellite images.
Int. J. Appl. Earth Obs. Geoinformation, 2016

Reframing in Clustering.
Proceedings of the 28th IEEE International Conference on Tools with Artificial Intelligence, 2016

Nouveaux algorithmes de fouilles de données relationnelles de clowdflows.
Proceedings of the 16ème Journées Francophones Extraction et Gestion des Connaissances, 2016

2015
Report of the First International Workshop on Learning over Multiple Contexts (LMCE 2014).
SIGKDD Explor., 2015

Flexible propositionalization of continuous attributes in relational data mining.
Expert Syst. Appl., 2015

Model Reuse with Bike rental Station data (Preamble).
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), 2015

CARAF: Complex Aggregates within Random Forests.
Proceedings of the Inductive Logic Programming - 25th International Conference, 2015

Reframing in Frequent Pattern Mining.
Proceedings of the 27th IEEE International Conference on Tools with Artificial Intelligence, 2015

Approche relationnelle de l'apprentissage de séquences.
Proceedings of the 15èmes Journées Francophones Extraction et Gestion des Connaissances, 2015

2014
Active Learning in the Spatial Domain for Remote Sensing Image Classification.
IEEE Trans. Geosci. Remote. Sens., 2014

Mining frequent correlated graphs with a new measure.
Expert Syst. Appl., 2014

Construction of Complex Aggregates with Random Restart Hill-Climbing.
Proceedings of the Inductive Logic Programming - 24th International Conference, 2014

Reframing on Relational Data.
Proceedings of the Inductive Logic Programming - 24th International Conference, 2014

Reframing Continuous Input Attributes.
Proceedings of the 26th IEEE International Conference on Tools with Artificial Intelligence, 2014

Détection de situations à risque basée sur des détecteurs de mouvement à domicile pour les personnes dépendantes.
Proceedings of the 14èmes Journées Francophones Extraction et Gestion des Connaissances, 2014

2013
Incremental Construction of Complex Aggregates: Counting over a Secondary Table.
Proceedings of the Late Breaking Papers of the 23rd International Conference on Inductive Logic Programming, Rio de Janeiro, Brazil, August 28th - to, 2013

Pairwise Optimization of Bayesian Classifiers for Multi-class Cost-Sensitive Learning.
Proceedings of the 25th IEEE International Conference on Tools with Artificial Intelligence, 2013

Classification multi-étiquettes pour l'alignement multiple de séquences protéiques.
Proceedings of the Extraction et gestion des connaissances (EGC'2013), Actes, 29 janvier, 2013

2012
EASEA: specification and execution of evolutionary algorithms on GPGPU.
Soft Comput., 2012

Propositionalisation of Continuous Attributes beyond Simple Aggregation.
Proceedings of the Inductive Logic Programming - 22nd International Conference, 2012

Adaptive spatial sampling with active random forest for object-oriented landslide mapping.
Proceedings of the 2012 IEEE International Geoscience and Remote Sensing Symposium, 2012

Real-Time Fall Detection Method Based on Hidden Markov Modelling.
Proceedings of the Image and Signal Processing - 5th International Conference, 2012

Generic architecture for ambient intelligence based on an organizational centered multi-agent approach.
Proceedings of the 2012 ACM Conference on Ubiquitous Computing, 2012

2011
Classification et évolution des tissus urbains à partir de données vectorielles.
Rev. Int. Géomatique, 2011

A Representation to Apply Usual Data Mining Techniques to Chemical reactions - Illustration on the Rate Constant of S<sub>N</sub>2 reactions in water.
Int. J. Artif. Intell. Tools, 2011

Propositionaliser des attributs numériques sans les discrétiser, ni les agréger.
Proceedings of the Extraction et gestion des connaissances (EGC'2011), 2011

DISPAR-Tournament: A Parallel Population Reduction Operator That Behaves Like a Tournament.
Proceedings of the Applications of Evolutionary Computation, 2011

Two Ports of a Full Evolutionary Algorithm onto GPGPU.
Proceedings of the Artificial Evolution, 2011

2010
Propositionalization.
Proceedings of the Encyclopedia of Machine Learning, 2010

Learning antibacterial activity against S. Aureus on the Chimiothèque Nationale dataset.
J. Cheminformatics, 2010

A Representation to Apply Usual Data Mining Techniques to Chemical Reactions.
Proceedings of the Trends in Applied Intelligent Systems, 2010

Fast Evaluation of GP Trees on GPGPU by Optimizing Hardware Scheduling.
Proceedings of the Genetic Programming, 13th European Conference, 2010

EASEA parallelization of tree-based Genetic Programming.
Proceedings of the IEEE Congress on Evolutionary Computation, 2010

2009
Receiver Operating Characteristic (ROC) Analysis.
Proceedings of the Encyclopedia of Data Warehousing and Mining, Second Edition (4 Volumes), 2009

A Platform for Spatial Data Labeling in an Urban Context.
Proceedings of the Geospatial Free and Open Source Software in the 21st Century, 2009

Coarse grain parallelization of evolutionary algorithms on GPGPU cards with EASEA.
Proceedings of the Genetic and Evolutionary Computation Conference, 2009

Efficient Parallel Implementation of Evolutionary Algorithms on GPGPU Cards.
Proceedings of the Euro-Par 2009 Parallel Processing, 2009

2008
Testing the CAX on a Real-World Problem and Other Benchmarks.
Proceedings of the Parallel Problem Solving from Nature, 2008

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

Prédiction de la solubilité d'une molécule à partir des seules données relationnelles.
Proceedings of the Extraction et gestion des connaissances (EGC'2006), 2006

2005
Neuronal Clustering of Brain fMRI Images.
Proceedings of the Pattern Recognition and Machine Intelligence, 2005

Exploration visuelle d'images IRMf basée sur des Gaz Neuronaux Croissants.
Proceedings of the Extraction des connaissances : Etat et perspectives (Ateliers de la conférence EGC'2005), 2005

Good and Bad Practices in Propositionalisation.
Proceedings of the AI*IA 2005: Advances in Artificial Intelligence, 2005

2004
The 1st workshop on ROC analysis in artificial intelligence (ROCAI-2004).
SIGKDD Explor., 2004

Naive Bayesian Classification of Structured Data.
Mach. Learn., 2004

2003
Improving Accuracy and Cost of Two-class and Multi-class Probabilistic Classifiers Using ROC Curves.
Proceedings of the Machine Learning, 2003

2002
1BC2: A True First-Order Bayesian Classifier.
Proceedings of the Inductive Logic Programming, 12th International Conference, 2002

2001
Confirmation-Guided Discovery of First-Order Rules with Tertius.
Mach. Learn., 2001

2000
Decomposing Probability Distributions on Structured Individuals.
Proceedings of the Inductive Logic Programming, 10th International Conference, 2000

1999
IBC: A First-Order Bayesian Classifier.
Proceedings of the Inductive Logic Programming, 9th International Workshop, 1999

1998
Scope Classification: An Instance-Based Learning Algorithm with a Rule-Based Characterisation.
Proceedings of the Machine Learning: ECML-98, 1998

1997
De l'induction confirmatoire à la classification : contribution à l'apprentissage automatique.
PhD thesis, 1997

A Model for Generalization Based on Confirmatory Induction.
Proceedings of the Machine Learning: ECML-97, 1997


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