Gianluca Bontempi

165 papers A* 3A 2B 18C 9Misc 1Journal 79Unranked 49

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Direct Classification Approach for Reliable Wind Ramp Event Forecasting under Severe Class Imbalance. CoRR Alejandro Morales-Hernández, Fabrizio De Caro, Gian Marco Paldino, Pascal Tribel, Alfredo Vaccaro, Gianluca Bontempi
2026	J	`jnl`	Linear non-conservative unsupervised domain adaptation for cross-subject EMG gesture recognition. Biomed. Signal Process. Control. Martin Colot, Cédric Simar, Ana-Maria Cebolla Alvarez, Gianluca Bontempi
2026	J	`jnl`	On the integration of domain adaptation and causal discovery in digital twins: A case study for plastic injection molding. Future Gener. Comput. Syst. Gian Marco Paldino, Olivier Caelen, Marouene Oueslati, Marc Ansay, Tojo Valisoa A. Johanesa, Gianluca Bontempi
2025	C	`conf`	A Simulation Tool to Assess the Impact of Deviation Plans on Disruptive Events of Urban Traffic. SIMULTECH Davide Andrea Guastella, Moisés Silva-Muñoz, Eladio Montero-Porras, Gianluca Bontempi
2025	J	`jnl`	Calibration of Vehicular Traffic Simulation Models by Local Optimization. CoRR Davide Andrea Guastella, Alejandro Morales-Hernández, Bruno Cornelis, Gianluca Bontempi
2025	J	`jnl`	Causal Discovery in Multivariate Time Series through Mutual Information Featurization. CoRR Gian Marco Paldino, Gianluca Bontempi
2025	J	`jnl`	Ethics2vec: aligning automatic agents and human preferences. CoRR Gianluca Bontempi
2025	J	`jnl`	FRAUD-RLA: A new reinforcement learning adversarial attack against credit card fraud detection. CoRR Daniele Lunghi, Yannick Molinghen, Alkis Simitsis, Tom Lenaerts, Gianluca Bontempi
2025	J	`jnl`	Identifying counterfactual probabilities using bivariate distributions and uplift modeling. CoRR Théo Verhelst, Gianluca Bontempi
2025	—	`conf`	Integrating Domain Adaptation and Causal Discovery in Digital Twins for Plastic Injection Molding. PerCom Workshops Gian Marco Paldino, Olivier Caelen, Marouene Oueslati, Marc Ansay, Tojo Valisoa A. Johanesa, Gianluca Bontempi
2025	J	`jnl`	On many-objective feature selection and the need for interpretability. Expert Syst. Appl. Uchechukwu F. Njoku, Alberto Abelló, Besim Bilalli, Gianluca Bontempi
2025	J	`jnl`	Towards fair machine learning using many-objective feature selection. Appl. Soft Comput. Uchechukwu F. Njoku, Alberto Abelló, Besim Bilalli, Gianluca Bontempi
2024	C	`conf`	A data-science pipeline to enable the Interpretability of Many-Objective Feature Selection. DOLAP Uchechukwu F. Njoku, Alberto Abelló, Besim Bilalli, Gianluca Bontempi
2024	A	`conf`	Assessing adversarial attacks in real-world fraud detection. ICWS Daniele Lunghi, Alkis Simitsis, Gianluca Bontempi
2024	J	`jnl`	Assessment of catastrophic forgetting in continual credit card fraud detection. Expert Syst. Appl. Bertrand Lebichot, Wissam Siblini, Gian Marco Paldino, Yann-Aël Le Borgne, Frédéric Oblé, Gianluca Bontempi
2024	—	`conf`	Between Accurate Prediction and Poor Decision Making: The AI/ML Gap. LOD (1) Gianluca Bontempi
2024	J	`jnl`	EMG subspace alignment and visualization for cross-subject hand gesture classification. CoRR Martin Colot, Cédric Simar, Mathieu Petieau, Ana-Maria Cebolla Alvarez, Guy Cheron, Gianluca Bontempi
2024	B	`conf`	Finding Relevant Information in Big Datasets with ML. EDBT Uchechukwu F. Njoku, Alberto Abelló, Besim Bilalli, Gianluca Bontempi
2024	J	`jnl`	Partial counterfactual identification and uplift modeling: theoretical results and real-world assessment. Mach. Learn. Théo Verhelst, Denis Mercier, Jeevan Shrestha, Gianluca Bontempi
2024	—	`conf`	Physically Interpretable Probabilistic Domain Characterization. ACCV Workshops (1) Anaïs Halin, Sébastien Piérard, Renaud Vandeghen, Benoît Gérin, Maxime Zanella, Martin Colot, Jan Held, Anthony Cioppa, Emmanuel Jean, Gianluca Bontempi, Saïd Mahmoudi, Benoît Macq, Marc Van Droogenbroeck
2024	J	`jnl`	Physically Interpretable Probabilistic Domain Characterization. CoRR Anaïs Halin, Sébastien Piérard, Renaud Vandeghen, Benoît Gérin, Maxime Zanella, Martin Colot, Jan Held, Anthony Cioppa, Emmanuel Jean, Gianluca Bontempi, Saïd Mahmoudi, Benoît Macq, Marc Van Droogenbroeck
2024	J	`jnl`	PyAWD: A Library for Generating Large Synthetic Datasets of Acoustic Wave Propagation with Devito. CoRR Pascal Tribel, Gianluca Bontempi
2024	J	`jnl`	The role of diversity and ensemble learning in credit card fraud detection. Adv. Data Anal. Classif. Gian Marco Paldino, Bertrand Lebichot, Yann-Aël Le Borgne, Wissam Siblini, Frédéric Oblé, Giacomo Boracchi, Gianluca Bontempi
2023	—	`conf`	A Churn Prediction Dataset from the Telecom Sector: A New Benchmark for Uplift Modeling. PKDD/ECML Workshops (4) Théo Verhelst, Denis Mercier, Jeevan Shrestha, Gianluca Bontempi
2023	J	`jnl`	A churn prediction dataset from the telecom sector: a new benchmark for uplift modeling. CoRR Théo Verhelst, Denis Mercier, Jeevan Shrestha, Gianluca Bontempi
2023	J	`jnl`	A data-science pipeline to enable the Interpretability of Many-Objective Feature Selection. CoRR Uchechukwu F. Njoku, Alberto Abelló, Besim Bilalli, Gianluca Bontempi
2023	—	`conf`	Adversarial Learning in Real-World Fraud Detection: Challenges and Perspectives. DEC@SIGMOD Daniele Lunghi, Alkis Simitsis, Olivier Caelen, Gianluca Bontempi
2023	J	`jnl`	Adversarial Learning in Real-World Fraud Detection: Challenges and Perspectives. CoRR Daniele Lunghi, Alkis Simitsis, Olivier Caelen, Gianluca Bontempi
2023	J	`jnl`	An Adversary Model of Fraudsters' Behavior to Improve Oversampling in Credit Card Fraud Detection. IEEE Access Daniele Lunghi, Gian Marco Paldino, Olivier Caelen, Gianluca Bontempi
2023	J	`jnl`	Between accurate prediction and poor decision making: the AI/ML gap. CoRR Gianluca Bontempi
2023	—	`conf`	EMG Subspace Alignment and Visualization for Cross-Subject Hand Gesture Classification. PKDD/ECML Workshops (4) Martin Colot, Cédric Simar, Mathieu Petieau, Ana-Maria Cebolla Alvarez, Guy Cheron, Gianluca Bontempi
2023	J	`jnl`	Traffic Modeling with SUMO: a Tutorial. CoRR Davide Andrea Guastella, Gianluca Bontempi
2023	—	`conf`	Traffic Simulation with Incomplete Data: the Case of Brussels. EMODE@SIGSPATIAL Davide Andrea Guastella, Bruno Cornelis, Gianluca Bontempi
2023	J	`jnl`	Uplift vs. predictive modeling: a theoretical analysis. CoRR Théo Verhelst, Robin Petit, Wouter Verbeke, Gianluca Bontempi
2023	B	`conf`	Wrapper Methods for Multi-Objective Feature Selection. EDBT Uchechukwu Njoku, Besim Bilalli, Alberto Abelló, Gianluca Bontempi
2022	C	`conf`	Impact of Filter Feature Selection on Classification: An Empirical Study. DOLAP Uchechukwu Njoku, Alberto Abelló, Besim Bilalli, Gianluca Bontempi
2022	—	`conf`	Machine learning for time series: from forecasting to causal inference. SETN Gianluca Bontempi
2022	J	`jnl`	Partial counterfactual identification and uplift modeling: theoretical results and real-world assessment. CoRR Théo Verhelst, Denis Mercier, Jeevan Shrestha, Gianluca Bontempi
2021	—	`conf`	A tutorial on network-wide multi-horizon traffic forecasting with deep learning. EDBT/ICDT Workshops Giovanni Buroni, Gianluca Bontempi, Karl Determe
2021	J	`jnl`	AST-MTL: An Attention-Based Multi-Task Learning Strategy for Traffic Forecasting. IEEE Access Giovanni Buroni, Bertrand Lebichot, Gianluca Bontempi
2021	J	`jnl`	Combining unsupervised and supervised learning in credit card fraud detection. Inf. Sci. Fabrizio Carcillo, Yann-Aël Le Borgne, Olivier Caelen, Yacine Kessaci, Frédéric Oblé, Gianluca Bontempi
2021	J	`jnl`	Factor-Based Framework for Multivariate and Multi-step-ahead Forecasting of Large Scale Time Series. Frontiers Big Data Jacopo De Stefani, Gianluca Bontempi
2021	J	`jnl`	Incremental learning strategies for credit cards fraud detection. Int. J. Data Sci. Anal. Bertrand Lebichot, Gian Marco Paldino, Wissam Siblini, Liyun He-Guelton, Frédéric Oblé, Gianluca Bontempi
2021	B	`conf`	Predicting Reach to Find Persuadable Customers: Improving Uplift Models for Churn Prevention. DS Théo Verhelst, Jeevan Shrestha, Denis Mercier, Jean-Christophe Dewitte, Gianluca Bontempi
2021	J	`jnl`	The CLAIRE COVID-19 initiative: approach, experiences and recommendations. Ethics Inf. Technol. Gianluca Bontempi, Ricardo Chavarriaga, Hans ed Canck, Emanuela Girardi, Holger H. Hoos, Iarla Kilbane-Dawe, Tonio Ball, Ann Nowé, Jose Sousa, Davide Bacciu, Marco Aldinucci, Manlio ed Domenico, Alessandro Saffiotti, Marco Maratea
2021	J	`jnl`	Transfer Learning Strategies for Credit Card Fraud Detection. IEEE Access Bertrand Lebichot, Théo Verhelst, Yann-Aël Le Borgne, Liyun He-Guelton, Frédéric Oblé, Gianluca Bontempi
2021	J	`jnl`	Transfer Learning for Credit Card Fraud Detection: A Journey from Research to Production. CoRR Wissam Siblini, Guillaume Coter, Rémy Fabry, Liyun He-Guelton, Frédéric Oblé, Bertrand Lebichot, Yann-Aël Le Borgne, Gianluca Bontempi
2020	—	`ed.`	Artificial Intelligence and Machine Learning - 31st Benelux AI Conference, BNAIC 2019, and 28th Belgian-Dutch Machine Learning Conference, BENELEARN 2019, Brussels, Belgium, November 6-8, 2019, Revised Selected Papers BNAIC/BENELEARN (Selected Papers) Bart Bogaerts, Gianluca Bontempi, Pierre Geurts, Nick Harley, Bertrand Lebichot, Tom Lenaerts, Gilles Louppe
2020	B	`conf`	EEG-based brain-computer interface for alpha speed control of a small robot using the MUSE headband. IJCNN Cédric Simar, Mathieu Petieau, Anita Cebolla, Axelle Leroy, Gianluca Bontempi, Guy Cheron
2020	B	`conf`	Incremental learning strategies for credit cards fraud detection: Extended abstract. DSAA Bertrand Lebichot, Gian Marco Paldino, Gianluca Bontempi, Wissam Siblini, Liyun He-Guelton, Frédéric Oblé
2020	B	`conf`	Learning causal dependencies in large-variate time series. IJCNN Gianluca Bontempi
2020	—	`conf`	MOBI-AID: A Big Data Platform for Real-Time Analysis of On Board Unit Data. EDBT/ICDT Workshops Arnau Dillen, Giovanni Buroni, Yann-Aël Le Borgne, Karl Determe, Gianluca Bontempi
2020	B	`conf`	On-Board Unit Big Data: Short-term Traffic Forecasting in Urban Transportation Networks. DSAA Giovanni Buroni, Yann-Aël Le Borgne, Gianluca Bontempi, Daniele Raimondi, Karl Determe
2019	J	`jnl`	Batch and incremental dynamic factor machine learning for multivariate and multi-step-ahead forecasting. Int. J. Data Sci. Anal. Jacopo De Stefani, Yann-Aël Le Borgne, Olivier Caelen, Dalila Hattab, Gianluca Bontempi
2019	—	`conf`	Deep-Learning Domain Adaptation Techniques for Credit Cards Fraud Detection. INNSBDDL Bertrand Lebichot, Yann-Aël Le Borgne, Liyun He-Guelton, Frédéric Oblé, Gianluca Bontempi
2019	—	`ch.`	From Dependency to Causality: A Machine Learning Approach. Cause Effect Pairs in Machine Learning Gianluca Bontempi, Maxime Flauder
2019	J	`jnl`	New functionalities in the TCGAbiolinks package for the study and integration of cancer data from GDC and GTEx. PLoS Comput. Biol. Mohamed Mounir, Marta Lucchetta, Tiago Chedraoui Silva, Catharina Olsen, Gianluca Bontempi, Xi Chen, Houtan Noushmehr, Antonio Colaprico, Elena Papaleo
2019	—	`ed.`	Proceedings of the 31st Benelux Conference on Artificial Intelligence (BNAIC 2019) and the 28th Belgian Dutch Conference on Machine Learning (Benelearn 2019), Brussels, Belgium, November 6-8, 2019. BNAIC/BENELEARN Katrien Beuls, Bart Bogaerts, Gianluca Bontempi, Pierre Geurts, Nick Harley, Bertrand Lebichot, Tom Lenaerts, Gilles Louppe, Paul Van Eecke
2019	—	`conf`	The Induction Problem: A Machine Learning Vindication Argument. LOD Gianluca Bontempi
2019	—	`conf`	Understanding Telecom Customer Churn with Machine Learning: From Prediction to Causal Inference. BNAIC/BENELEARN Théo Verhelst, Olivier Caelen, Jean-Christophe Dewitte, Bertrand Lebichot, Gianluca Bontempi
2019	—	`conf`	Understanding Telecom Customer Churn with Machine Learning: From Prediction to Causal Inference. BNAIC/BENELEARN (Selected Papers) Théo Verhelst, Olivier Caelen, Jean-Christophe Dewitte, Bertrand Lebichot, Gianluca Bontempi
2018	—	`conf`	A Multivariate and Multi-step Ahead Machine Learning Approach to Traditional and Cryptocurrencies Volatility Forecasting. MIDAS/PAP@PKDD/ECML Jacopo De Stefani, Olivier Caelen, Dalila Hattab, Yann-Aël Le Borgne, Gianluca Bontempi
2018	—	`conf`	Cluster Analysis of On-Board-Unit Truck Big Data from the Brussels Capital Region. ITSC Giovanni Buroni, Yann-Aël Le Borgne, Gianluca Bontempi, Karl Determe
2018	J	`jnl`	Correction to: Streaming active learning strategies for real-life credit detection: assessment and visualization. Int. J. Data Sci. Anal. Fabrizio Carcillo, Yann-Aël Le Borgne, Olivier Caelen, Gianluca Bontempi
2018	J	`jnl`	Credit Card Fraud Detection: A Realistic Modeling and a Novel Learning Strategy. IEEE Trans. Neural Networks Learn. Syst. Andrea Dal Pozzolo, Giacomo Boracchi, Olivier Caelen, Cesare Alippi, Gianluca Bontempi
2018	—	`conf`	On-Board-Unit Data: A Big Data Platform for Scalable storage and Processing. Cloudtech Giovanni Buroni, Yann-Aël Le Borgne, Gianluca Bontempi, Karl Determe
2018	J	`jnl`	SCARFF: A scalable framework for streaming credit card fraud detection with spark. Inf. Fusion Fabrizio Carcillo, Andrea Dal Pozzolo, Yann-Aël Le Borgne, Olivier Caelen, Yannis Mazzer, Gianluca Bontempi
2018	J	`jnl`	Streaming Active Learning Strategies for Real-Life Credit Card Fraud Detection: Assessment and Visualization. CoRR Fabrizio Carcillo, Yann-Aël Le Borgne, Olivier Caelen, Gianluca Bontempi
2018	J	`jnl`	Streaming active learning strategies for real-life credit card fraud detection: assessment and visualization. Int. J. Data Sci. Anal. Fabrizio Carcillo, Yann-Aël Le Borgne, Olivier Caelen, Gianluca Bontempi
2018	J	`jnl`	TCGAbiolinksGUI: A graphical user interface to analyze cancer molecular and clinical data. F1000Research Tiago Chedraoui Silva, Antonio Colaprico, Catharina Olsen, Tathiane M. Malta, Gianluca Bontempi, Michele Ceccarelli, Benjamin P. Berman, Houtan Noushmehr
2017	B	`conf`	A Dynamic Factor Machine Learning Method for Multi-variate and Multi-step-Ahead Forecasting. DSAA Gianluca Bontempi, Yann-Aël Le Borgne, Jacopo De Stefani
2017	B	`conf`	An Assessment of Streaming Active Learning Strategies for Real-Life Credit Card Fraud Detection. DSAA Fabrizio Carcillo, Yann-Aël Le Borgne, Olivier Caelen, Gianluca Bontempi
2017	J	`jnl`	CancerSubtypes: an R/Bioconductor package for molecular cancer subtype identification, validation and visualization. Bioinform. Taosheng Xu, Thuc Duy Le, Lin Liu, Ning Su, Rujing Wang, Bing-Yu Sun, Antonio Colaprico, Gianluca Bontempi, Jiuyong Li
2017	—	`conf`	Feature Selection in High-Dimensional Dataset Using MapReduce. BNCAI Claudio Reggiani, Yann-Aël Le Borgne, Gianluca Bontempi
2017	J	`jnl`	Feature selection in high-dimensional dataset using MapReduce. CoRR Claudio Reggiani, Yann-Aël Le Borgne, Gianluca Bontempi
2017	—	`conf`	Machine Learning for Multi-step Ahead Forecasting of Volatility Proxies. MIDAS@PKDD/ECML Jacopo De Stefani, Olivier Caelen, Dalila Hattab, Gianluca Bontempi
2017	J	`jnl`	SCARFF: a Scalable Framework for Streaming Credit Card Fraud Detection with Spark. CoRR Fabrizio Carcillo, Andrea Dal Pozzolo, Yann-Aël Le Borgne, Olivier Caelen, Yannis Mazzer, Gianluca Bontempi
2017	J	`jnl`	Study of Meta-analysis strategies for network inference using information-theoretic approaches. BioData Min. Ngoc Cam Pham, Benjamin Haibe-Kains, Pau Bellot, Gianluca Bontempi, Patrick E. Meyer
2016	—	`conf`	A Blocking Strategy for Ranking Features According to Probabilistic Relevance. MOD Gianluca Bontempi
2016	J	`jnl`	How interacting pathways are regulated by miRNAs in breast cancer subtypes. BMC Bioinform. Claudia Cava, Antonio Colaprico, Gloria Bertoli, Gianluca Bontempi, Giancarlo Mauri, Isabella Castiglioni
2016	—	`conf`	OpenTED Browser: Insights into European Public Spendings. SoGood@ECML-PKDD Yann-Aël Le Borgne, Adriana Homolova, Gianluca Bontempi
2016	J	`jnl`	OpenTED Browser: Insights into European Public Spendings. CoRR Yann-Aël Le Borgne, Adriana Homolova, Gianluca Bontempi
2016	—	`conf`	Predictive Modeling in a Big Data Distributed Setting: A Scalable Bias Correction Approach. BigData Congress Gianluca Bontempi, Yann-Aël Le Borgne
2016	—	`conf`	Study of Meta-analysis Strategies for Network Inference Using Information-Theoretic Approaches. DEXA Workshops Ngoc Cam Pham, Benjamin Haibe-Kains, Pau Bellot, Gianluca Bontempi, Patrick E. Meyer
2015	J	`jnl`	A machine learning approach against a masked AES - Reaching the limit of side-channel attacks with a learning model. J. Cryptogr. Eng. Liran Lerman, Gianluca Bontempi, Olivier Markowitch
2015	—	`conf`	Calibrating Probability with Undersampling for Unbalanced Classification. SSCI Andrea Dal Pozzolo, Olivier Caelen, Reid A. Johnson, Gianluca Bontempi
2015	B	`conf`	Credit card fraud detection and concept-drift adaptation with delayed supervised information. IJCNN Andrea Dal Pozzolo, Giacomo Boracchi, Olivier Caelen, Cesare Alippi, Gianluca Bontempi
2015	J	`jnl`	From dependency to causality: a machine learning approach. J. Mach. Learn. Res. Gianluca Bontempi, Maxime Flauder
2015	—	`conf`	Template Attacks vs. Machine Learning Revisited (and the Curse of Dimensionality in Side-Channel Analysis). COSADE Liran Lerman, Romain Poussier, Gianluca Bontempi, Olivier Markowitch, François-Xavier Standaert
2015	J	`jnl`	The bias-variance decomposition in profiled attacks. J. Cryptogr. Eng. Liran Lerman, Gianluca Bontempi, Olivier Markowitch
2015	—	`conf`	When is Undersampling Effective in Unbalanced Classification Tasks? ECML/PKDD (1) Andrea Dal Pozzolo, Olivier Caelen, Gianluca Bontempi
2014	B	`conf`	A Monte Carlo strategy for structured multiple-step-ahead time series prediction. IJCNN Gianluca Bontempi
2014	J	`jnl`	A comprehensive overview of Infinium HumanMethylation450 data processing. Briefings Bioinform. Sarah Dedeurwaerder, Matthieu Defrance, Martin Bizet, Emilie Calonne, Gianluca Bontempi, François Fuks
2014	—	`conf`	An Approach for the Evaluation of Human Activities in Physical Therapy Scenarios. MONAMI Manuel P. Cuéllar, María Ros, María J. Martín-Bautista, Yann-Aël Le Borgne, Gianluca Bontempi
2014	J	`jnl`	From dependency to causality: a machine learning approach. CoRR Gianluca Bontempi, Maxime Flauder
2014	C	`conf`	Human Activity Recognition Framework in Monitored Environments. ICPRAM Olmo León, Manuel P. Cuéllar, Miguel Delgado, Yann-Aël Le Borgne, Gianluca Bontempi
2014	J	`jnl`	Learned lessons in credit card fraud detection from a practitioner perspective. Expert Syst. Appl. Andrea Dal Pozzolo, Olivier Caelen, Yann-Aël Le Borgne, Serge Waterschoot, Gianluca Bontempi
2014	—	`conf`	On the Null Distribution of the Precision and Recall Curve. ECML/PKDD (2) Miguel Lopes, Gianluca Bontempi
2014	J	`jnl`	Optimizing Component Combination in a Multi-Indexing Paragraph Retrieval System. CoRR Boris Iolis, Gianluca Bontempi
2014	J	`jnl`	Power analysis attack: an approach based on machine learning. Int. J. Appl. Cryptogr. Liran Lerman, Gianluca Bontempi, Olivier Markowitch
2014	B	`conf`	Using HDDT to avoid instances propagation in unbalanced and evolving data streams. IJCNN Andrea Dal Pozzolo, Reid A. Johnson, Olivier Caelen, Serge Waterschoot, Nitesh V. Chawla, Gianluca Bontempi
2013	C	`conf`	A Machine Learning Approach Against a Masked AES. CARDIS Liran Lerman, Stephane Fernandes Medeiros, Gianluca Bontempi, Olivier Markowitch
2013	C	`conf`	A Statistic Criterion for Reducing Indeterminacy in Linear Causal Modeling. ICPRAM Gianluca Bontempi
2013	—	`conf`	A Time Series Approach for Profiling Attack. SPACE Liran Lerman, Gianluca Bontempi, Souhaib Ben Taieb, Olivier Markowitch
2013	C	`conf`	Racing for Unbalanced Methods Selection. IDEAL Andrea Dal Pozzolo, Olivier Caelen, Serge Waterschoot, Gianluca Bontempi
2013	J	`jnl`	Research and applications: Comparison and validation of genomic predictors for anticancer drug sensitivity. J. Am. Medical Informatics Assoc. Simon Papillon-Cavanagh, Nicolas De Jay, Nehme Hachem, Catharina Olsen, Gianluca Bontempi, Hugo J. W. L. Aerts, John Quackenbush, Benjamin Haibe-Kains
2013	—	`conf`	Semi-Supervised Template Attack. COSADE Liran Lerman, Stephane Fernandes Medeiros, Nikita Veshchikov, Cédric Meuter, Gianluca Bontempi, Olivier Markowitch
2013	C	`conf`	Stability of feature selection algorithms for classification in high-throughput genomics datasets. BIBE Panagiotis Moulos, Ioannis Kanaris, Gianluca Bontempi
2013	J	`jnl`	mRMRe: an R package for parallelized mRMR ensemble feature selection. Bioinform. Nicolas De Jay, Simon Papillon-Cavanagh, Catharina Olsen, Nehme Hachem, Gianluca Bontempi, Benjamin Haibe-Kains
2012	J	`jnl`	A review and comparison of strategies for multi-step ahead time series forecasting based on the NN5 forecasting competition. Expert Syst. Appl. Souhaib Ben Taieb, Gianluca Bontempi, Amir F. Atiya, Antti Sorjamaa
2012	—	`conf`	Machine Learning Strategies for Time Series Forecasting. eBISS Gianluca Bontempi, Souhaib Ben Taieb, Yann-Aël Le Borgne
2012	J	`jnl`	Predictive networks: a flexible, open source, web application for integration and analysis of human gene networks. Nucleic Acids Res. Benjamin Haibe-Kains, Catharina Olsen, Amira Djebbari, Gianluca Bontempi, Mick Correll, Christopher Bouton, John Quackenbush
2012	J	`jnl`	Semi-Supervised Template Attack. IACR Cryptol. ePrint Arch. Liran Lerman, Stephane Fernandes Medeiros, Nikita Veshchikov, Cédric Meuter, Gianluca Bontempi, Olivier Markowitch
2012	—	`conf`	Time Series Prediction for Energy-Efficient Wireless Sensors: Applications to Environmental Monitoring and Video Games. S-CUBE Yann-Aël Le Borgne, Gianluca Bontempi
2011	—	`conf`	A Selecting-the-Best Method for Budgeted Model Selection. ECML/PKDD (1) Gianluca Bontempi, Olivier Caelen
2011	J	`jnl`	A review and comparison of strategies for multi-step ahead time series forecasting based on the NN5 forecasting competition CoRR Souhaib Ben Taieb, Gianluca Bontempi, Amir F. Atiya, Antti Sorjamaa
2011	—	`conf`	An Optimal Stopping Strategy for Online Calibration in Local Search. LION Gianluca Bontempi
2011	J	`jnl`	Fourier spectral factor model for prediction of multidimensional signals. Signal Process. Abhilash Alexander Miranda, Catharina Olsen, Gianluca Bontempi
2011	J	`jnl`	Multiple-input multiple-output causal strategies for gene selection. BMC Bioinform. Gianluca Bontempi, Benjamin Haibe-Kains, Christine Desmedt, Christos P. Sotiriou, John Quackenbush
2011	A*	`conf`	Recursive Multi-step Time Series Forecasting by Perturbing Data. ICDM Souhaib Ben Taieb, Gianluca Bontempi
2010	J	`jnl`	A dynamic programming strategy to balance exploration and exploitation in the bandit problem. Ann. Math. Artif. Intell. Olivier Caelen, Gianluca Bontempi
2010	A*	`conf`	Causal filter selection in microarray data. ICML Gianluca Bontempi, Patrick E. Meyer
2010	—	`conf`	Demonstrating principal component aggregation for distributed spatial pattern recognition. IPSN Yann-Aël Le Borgne, Ann Nowé, Kris Steenhaut, Gianluca Bontempi
2010	J	`jnl`	Distributed Principal Component Analysis for Wireless Sensor Networks CoRR Yann-Aël Le Borgne, Sylvain Raybaud, Gianluca Bontempi
2010	J	`jnl`	Multiple-output modeling for multi-step-ahead time series forecasting. Neurocomputing Souhaib Ben Taieb, Antti Sorjamaa, Gianluca Bontempi
2009	Misc	`conf`	An improved shrinkage estimator to infer regulatory networks with Gaussian graphical models. SAC Kevin Kontos, Gianluca Bontempi
2009	—	`conf`	Gaussian Graphical Models to Infer Putative Genes Involved in Nitrogen Catabolite Repression in S. cerevisiae. EvoBIO Kevin Kontos, Bruno André, Jacques van Helden, Gianluca Bontempi
2009	B	`conf`	Long-term prediction of time series by combining direct and MIMO strategies. IJCNN Souhaib Ben Taieb, Gianluca Bontempi, Antti Sorjamaa, Amaury Lendasse
2009	J	`jnl`	On the Impact of Entropy Estimation on Transcriptional Regulatory Network Inference Based on Mutual Information. EURASIP J. Bioinform. Syst. Biol. Catharina Olsen, Patrick E. Meyer, Gianluca Bontempi
2008	—	`conf`	A Model-Based Relevance Estimation Approach for Feature Selection in Microarray Datasets. ICANN (2) Gianluca Bontempi, Patrick E. Meyer
2008	J	`jnl`	A comparative study of survival models for breast cancer prognostication based on microarray data: does a single gene beat them all? Bioinform. Benjamin Haibe-Kains, Christine Desmedt, Christos P. Sotiriou, Gianluca Bontempi
2008	—	`ch.`	Computational Intelligence in Clinical Oncology: Lessons Learned from an Analysis of a Clinical Study. Computational Intelligence in Biomedicine and Bioinformatics Benjamin Haibe-Kains, Christine Desmedt, Sherene Loi, Mauro Delorenzi, Christos P. Sotiriou, Gianluca Bontempi
2008	J	`jnl`	Information-Theoretic Feature Selection in Microarray Data Using Variable Complementarity. IEEE J. Sel. Top. Signal Process. Patrick E. Meyer, Colas Schretter, Gianluca Bontempi
2008	—	`conf`	Nested q-Partial Graphs for Genetic Network Inference from "Small n, Large p" Microarray Data. BIRD Kevin Kontos, Gianluca Bontempi
2008	J	`jnl`	New Routes from Minimal Approximation Error to Principal Components. Neural Process. Lett. Abhilash Alexander Miranda, Yann-Aël Le Borgne, Gianluca Bontempi
2007	J	`jnl`	A Blocking Strategy to Improve Gene Selection for Classification of Gene Expression Data. IEEE ACM Trans. Comput. Biol. Bioinform. Gianluca Bontempi
2007	J	`jnl`	A Page-Classification Approach to Web Usage Semantic Analysis. Eng. Lett. Jean-Pierre Norguet, Benjamin Tshibasu-Kabeya, Gianluca Bontempi, Esteban Zimányi
2007	J	`jnl`	Adaptive model selection for time series prediction in wireless sensor networks. Signal Process. Yann-Aël Le Borgne, Silvia Santini, Gianluca Bontempi
2007	—	`conf`	Biological Network Inference Using Redundancy Analysis. BIRD Patrick E. Meyer, Kevin Kontos, Gianluca Bontempi
2007	—	`conf`	Improving the Exploration Strategy in Bandit Algorithms. LION Olivier Caelen, Gianluca Bontempi
2007	J	`jnl`	Information-Theoretic Inference of Large Transcriptional Regulatory Networks. EURASIP J. Bioinform. Syst. Biol. Patrick E. Meyer, Kevin Kontos, Frédéric Lafitte, Gianluca Bontempi
2007	B	`conf`	Machine Learning Techniques for Decision Support in Anesthesia. AIME Olivier Caelen, Gianluca Bontempi, Luc Barvais
2006	C	`conf`	Category-Based Audience Metrics for Web Site Content Improvement Using Ontologies and Page Classification. NLDB Jean-Pierre Norguet, Benjamin Tshibasu-Kabeya, Gianluca Bontempi, Esteban Zimányi
2006	B	`conf`	Machine Learning Techniques to Enable Closed-Loop Control in Anesthesia. CBMS Olivier Caelen, Gianluca Bontempi, Eddy Coussaert, Luc Barvais, François Clément
2006	—	`conf`	On the Use of Variable Complementarity for Feature Selection in Cancer Classification. EvoWorkshops Patrick E. Meyer, Gianluca Bontempi
2006	—	`conf`	Simulation Architecture for Data Processing Algorithms in Wireless Sensor Networks. AINA (2) Yann-Aël Le Borgne, Mehdi Moussaïd, Gianluca Bontempi
2005	—	`conf`	How to allocate a restricted budget of leave-one-out assessments for effective model selection in machine learning: a comparison of state-of-the-art techniques. BNAIC Olivier Caelen, Gianluca Bontempi
2005	—	`conf`	Speeding up Feature Selection by Using an Information Theoretic Bound. BNAIC Patrick Emmanuel Meyer, Olivier Caelen, Gianluca Bontempi
2005	B	`conf`	Structural feature selection for wrapper methods. ESANN Gianluca Bontempi
2005	J	`jnl`	The role of learning methods in the dynamic assessment of power components loading capability. IEEE Trans. Ind. Electron. Domenico Villacci, Gianluca Bontempi, Alfredo Vaccaro, Mauro Birattari
2004	J	`jnl`	The use of intelligent data analysis techniques for system-level design: a software estimation example. Soft Comput. Gianluca Bontempi, Wido Kruijtzer
2002	A	`conf`	A Data Analysis Method for Software Performance Prediction. DATE Gianluca Bontempi, Wido Kruijtzer
2002	J	`jnl`	Data-driven techniques for direct adaptive control: the lazy and the fuzzy approaches. Fuzzy Sets Syst. Edy Bertolissi, Mauro Birattari, Gianluca Bontempi, Antoine Duchâteau, Hugues Bersini
2002	—	`conf`	Enabling Multimedia QoS Control with Black-Box Modelling. Soft-Ware Gianluca Bontempi, Gauthier Lafruit
2001	J	`jnl`	The local paradigm for modeling and control: from neuro-fuzzy to lazy learning. Fuzzy Sets Syst. Gianluca Bontempi, Hugues Bersini, Mauro Birattari
2000	J	`jnl`	A Model Selection Approach for Local Learning. AI Commun. Gianluca Bontempi, Mauro Birattari, Hugues Bersini
2000	B	`conf`	A multi-steap ahead prediction method based on local dynamic properties. ESANN Gianluca Bontempi, Mauro Birattari
2000	—	`conf`	Predicting stock markets in boundary conditions with local models. CIFEr Gianluca Bontempi, Edy Bertolissi, Mauro Birattari
1999	A*	`conf`	Local Learning for Iterated Time-Series Prediction. ICML Gianluca Bontempi, Mauro Birattari, Hugues Bersini
1998	—	`conf`	Lazy Learning Meets the Recursive Least Squares Algorithm. NIPS Mauro Birattari, Gianluca Bontempi, Hugues Bersini
1998	B	`conf`	Lazy learning for control design. ESANN Gianluca Bontempi, Mauro Birattari, Hugues Bersini
1998	—	`conf`	Recursive Lazy Learning for Modeling and Control. ECML Gianluca Bontempi, Mauro Birattari, Hugues Bersini
1997	J	`jnl`	Now comes the time to defuzzify neuro-fuzzy models. Fuzzy Sets Syst. Hugues Bersini, Gianluca Bontempi
1996	—	`conf`	Qua-SI. III: A Software Tool for Simulation of Fuzzy Dynamical Systems. ESM Gianluca Bontempi
1994	J	`jnl`	A Qualitative Simulation Approach for Fuzzy Dynamical Models. ACM Trans. Model. Comput. Simul. Andrea Bonarini, Gianluca Bontempi