Alexandre Termier

According to our database1, Alexandre Termier authored at least 77 papers between 2001 and 2024.

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Bibliography

2024
Sky-signatures: detecting and characterizing recurrent behavior in sequential data.
Data Min. Knowl. Discov., 2024

Shaping Up SHAP: Enhancing Stability through Layer-Wise Neighbor Selection.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
LCE: An Augmented Combination of Bagging and Boosting in Python.
CoRR, 2023

Persistence-Based Discretization for Learning Discrete Event Systems from Time Series.
CoRR, 2023

Interactive Visualization of Counterfactual Explanations for Tabular Data.
Proceedings of the Machine Learning and Knowledge Discovery in Databases: Applied Data Science and Demo Track, 2023

Generating Robust Counterfactual Explanations.
Proceedings of the Machine Learning and Knowledge Discovery in Databases: Research Track, 2023

Visualiser des explications contrefactuelles pour des données tabulaires.
Proceedings of the Extraction et Gestion des Connaissances, 2023

2022
Diversity and Inclusion Activities in EGC - A 2022 Report.
SIGKDD Explor., 2022

XEM: An explainable-by-design ensemble method for multivariate time series classification.
Data Min. Knowl. Discov., 2022

VCNet: A Self-explaining Model for Realistic Counterfactual Generation.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022

QuickFill : travailler plus pour générer moins en synthèse de programmes.
Proceedings of the Extraction et Gestion des Connaissances, 2022

TAG: Learning Timed Automata from Logs.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
HiPaR: Hierarchical Pattern-Aided Regression.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2021

Skyline Groups Are Ideals. An Efficient Algorithm for Enumerating Skyline Groups.
Proceedings of the Combinatorial Algorithms - 32nd International Workshop, 2021

Prediction-Based Fleet Relocation for Free Floating Car Sharing Services.
Proceedings of the 33rd IEEE International Conference on Tools with Artificial Intelligence, 2021

Discovering Useful Compact Sets of Sequential Rules in a Long Sequence.
Proceedings of the 33rd IEEE International Conference on Tools with Artificial Intelligence, 2021

2020
XCM: An Explainable Convolutional Neural Network for Multivariate Time Series Classification.
CoRR, 2020

Local Cascade Ensemble for Multivariate Data Classification.
CoRR, 2020

Netspot: a simple Intrusion Detection System with statistical learning.
Proceedings of the 19th IEEE International Conference on Trust, 2020

Widening for MDL-Based Retail Signature Discovery.
Proceedings of the Advances in Intelligent Data Analysis XVIII, 2020

A Distributed Multi-Sensor Machine Learning Approach to Earthquake Early Warning.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Towards Sustainable Dairy Management - A Machine Learning Enhanced Method for Estrus Detection.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Compressing and Querying Skypattern Cubes.
Proceedings of the Advances and Trends in Artificial Intelligence. From Theory to Practice, 2019

Toward a Framework for Seasonal Time Series Forecasting Using Clustering.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2019, 2019

Agnostic Local Explanation for Time Series Classification.
Proceedings of the 31st IEEE International Conference on Tools with Artificial Intelligence, 2019

Statistically Significant Discriminative Patterns Searching.
Proceedings of the Big Data Analytics and Knowledge Discovery, 2019

Accelerating Itemset Sampling using Satisfiability Constraints on FPGA.
Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2019

2018
Social Media Analytics.
Proceedings of the Encyclopedia of Database Systems, Second Edition, 2018

Interactive Analytics in Social Media.
Proceedings of the Encyclopedia of Database Systems, Second Edition, 2018

Data Science Techniques for Sustainable Dairy Management.
ERCIM News, 2018

Mining Periodic Patterns with a MDL Criterion.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2018

Are your data gathered?
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

2017
TopPI: An efficient algorithm for item-centric mining.
Inf. Syst., 2017

Improving Time-Series Rule Matching Performance for Detecting Energy Consumption Patterns.
Proceedings of the Data Analytics for Renewable Energy Integration: Informing the Generation and Distribution of Renewable Energy, 2017

Purchase Signatures of Retail Customers.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2017

Anomaly Detection in Streams with Extreme Value Theory.
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

Topic Signatures in Political Campaign Speeches.
Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

2016
Distributed Computing for Enumeration.
Encyclopedia of Algorithms, 2016

Efficient local search for L<sub>1</sub> and L<sub>2</sub> binary matrix factorization.
Intell. Data Anal., 2016

TraceViz: a visualization framework for interactive analysis of execution traces.
Proceedings of the Actes de la 28ième conférence francophone sur l'Interaction Homme-Machine, 2016

Steady Patterns.
Proceedings of the IEEE International Conference on Data Mining Workshops, 2016

Towards Visualizing Hidden Structures.
Proceedings of the IEEE International Conference on Data Mining Workshops, 2016

Understanding Customer Attrition at an Individual Level: a New Model in Grocery Retail Context.
Proceedings of the 19th International Conference on Extending Database Technology, 2016

Identifying Genetic Variant Combinations Using Skypatterns.
Proceedings of the 27th International Workshop on Database and Expert Systems Applications, 2016

TopPI: An Efficient Algorithm for Item-Centric Mining.
Proceedings of the Big Data Analytics and Knowledge Discovery, 2016

2015
PGLCM: efficient parallel mining of closed frequent gradual itemsets.
Knowl. Inf. Syst., 2015

Data mining approach to temporal debugging of embedded streaming applications.
Proceedings of the 2015 International Conference on Embedded Software, 2015

Selecting representative instances from datasets.
Proceedings of the 2015 IEEE International Conference on Data Science and Advanced Analytics, 2015

Reducing trace size in multimedia applications endurance tests.
Proceedings of the 2015 Design, Automation & Test in Europe Conference & Exhibition, 2015

Interactive User Group Analysis.
Proceedings of the 24th ACM International Conference on Information and Knowledge Management, 2015

Improved Local Search for Binary Matrix Factorization.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014
Para Miner: a generic pattern mining algorithm for multi-core architectures.
Data Min. Knowl. Discov., 2014

Itemset approximation using Constrained Binary Matrix Factorization.
Proceedings of the International Conference on Data Science and Advanced Analytics, 2014

Scalability bottlenecks discovery in MPSoC platforms using data mining on simulation traces.
Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2014

2013
Efficiently rewriting large multimedia application execution traces with few event sequences.
Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013

Towards a Framework for Semantic Exploration of Frequent Patterns.
Proceedings of the 3rd International Workshop on Information Management for Mobile Applications, 2013

Data mining MPSoC simulation traces to identify concurrent memory access patterns.
Proceedings of the Design, Automation and Test in Europe, 2013

Pattern mining rock: more, faster, better.
, 2013

2012
Automatic congestion detection in MPSoC programs using data mining on simulation traces.
Proceedings of the 23rd IEEE International Symposium on Rapid System Prototyping, 2012

Enhancing the Analysis of Large Multimedia Applications Execution Traces with FrameMiner.
Proceedings of the 12th IEEE International Conference on Data Mining Workshops, 2012

Debugging embedded multimedia application traces through periodic pattern mining.
Proceedings of the 12th International Conference on Embedded Software, 2012

2011
Discovery of Probabilistic Mappings between Taxonomies: Principles and Experiments.
J. Data Semant., 2011

2010
Combining Logic and Probabilities for Discovering Mappings between Taxonomies.
Proceedings of the Knowledge Science, 2010

Discovering closed frequent itemsets on multicore: Parallelizing computations and optimizing memory accesses.
Proceedings of the 2010 International Conference on High Performance Computing & Simulation, 2010

PGLCM: Efficient Parallel Mining of Closed Frequent Gradual Itemsets.
Proceedings of the ICDM 2010, 2010

Découverte d'itemsets fréquents fermés sur architecture multicoeurs.
Proceedings of the Extraction et gestion des connaissances (EGC'2010), 2010

Efficient Parallel Mining of Gradual Patterns on Multicore Processors.
Proceedings of the Advances in Knowledge Discovery and Management, 2010

PGP-mc : extraction parallèle efficace de motifs graduels.
Proceedings of the Extraction et gestion des connaissances (EGC'2010), 2010

PGP-mc: Towards a Multicore Parallel Approach for Mining Gradual Patterns.
Proceedings of the Database Systems for Advanced Applications, 2010

2008
DryadeParent, An Efficient and Robust Closed Attribute Tree Mining Algorithm.
IEEE Trans. Knowl. Data Eng., 2008

2007
DIGDAG, a First Algorithm to Mine Closed Frequent Embedded Sub-DAGs.
Proceedings of the Mining and Learning with Graphs, 2007

2005
Efficient Mining of High Branching Factor Attribute Trees.
Proceedings of the 5th IEEE International Conference on Data Mining (ICDM 2005), 2005

2004
Highlighting Latent Structure in Documents.
Proceedings of the Fourth International Conference on Language Resources and Evaluation, 2004

DRYADE: A New Approach for Discovering Closed Frequent Trees in Heterogeneous Tree Databases.
Proceedings of the 4th IEEE International Conference on Data Mining (ICDM 2004), 2004

2002
TreeFinder: a First Step towards XML Data Mining.
Proceedings of the 2002 IEEE International Conference on Data Mining (ICDM 2002), 2002

2001
Combining Statistics and Semantics for Word and Document Clustering.
Proceedings of the IJCAI'2001 Workshop on Ontology Learning, 2001

Raising the Dead: Extending Evolutionary Algorithms with a Case-Based Memory.
Proceedings of the Genetic Programming, 4th European Conference, 2001


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