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2020 – today
- 2024
[j49]Gian Marco Paldino
, Bertrand Lebichot, Yann-Aël Le Borgne, Wissam Siblini, Frédéric Oblé, Giacomo Boracchi, Gianluca Bontempi:
The role of diversity and ensemble learning in credit card fraud detection. Adv. Data Anal. Classif. 18(1): 193-217 (2024)- [j48]Bertrand Lebichot, Wissam Siblini, Gian Marco Paldino, Yann-Aël Le Borgne, Frédéric Oblé, Gianluca Bontempi:
Assessment of catastrophic forgetting in continual credit card fraud detection. Expert Syst. Appl. 249: 123445 (2024) - [j47]Théo Verhelst, Denis Mercier, Jeevan Shrestha, Gianluca Bontempi:
Partial counterfactual identification and uplift modeling: theoretical results and real-world assessment. Mach. Learn. 113(3): 1043-1067 (2024) - [c76]Uchechukwu F. Njoku, Alberto Abelló, Besim Bilalli, Gianluca Bontempi:
A data-science pipeline to enable the Interpretability of Many-Objective Feature Selection. DOLAP 2024: 83-87 - [c75]Uchechukwu F. Njoku, Alberto Abelló, Besim Bilalli, Gianluca Bontempi:
Finding Relevant Information in Big Datasets with ML. EDBT 2024: 846-849 - [c74]Daniele Lunghi, Alkis Simitsis, Gianluca Bontempi:
Assessing adversarial attacks in real-world fraud detection. ICWS 2024: 27-34 - [i20]Martin Colot, Cédric Simar, Mathieu Petieau, Ana-Maria Cebolla Alvarez, Guy Cheron, Gianluca Bontempi:
EMG subspace alignment and visualization for cross-subject hand gesture classification. CoRR abs/2401.05386 (2024) - 2023
- [j46]Daniele Lunghi, Gian Marco Paldino, Olivier Caelen, Gianluca Bontempi:
An Adversary Model of Fraudsters' Behavior to Improve Oversampling in Credit Card Fraud Detection. IEEE Access 11: 136666-136679 (2023) - [c73]Daniele Lunghi, Alkis Simitsis, Olivier Caelen, Gianluca Bontempi:
Adversarial Learning in Real-World Fraud Detection: Challenges and Perspectives. DEC@SIGMOD 2023: 27-33 - [c72]Uchechukwu Njoku, Besim Bilalli, Alberto Abelló, Gianluca Bontempi:
Wrapper Methods for Multi-Objective Feature Selection. EDBT 2023: 697-709 - [c71]Davide Andrea Guastella, Bruno Cornelis, Gianluca Bontempi:
Traffic Simulation with Incomplete Data: the Case of Brussels. EMODE@SIGSPATIAL 2023: 15-24 - [i19]Davide Andrea Guastella, Gianluca Bontempi:
Traffic Modeling with SUMO: a Tutorial. CoRR abs/2304.05982 (2023) - [i18]Daniele Lunghi, Alkis Simitsis, Olivier Caelen, Gianluca Bontempi:
Adversarial Learning in Real-World Fraud Detection: Challenges and Perspectives. CoRR abs/2307.01390 (2023) - [i17]Théo Verhelst, Robin Petit, Wouter Verbeke, Gianluca Bontempi:
Uplift vs. predictive modeling: a theoretical analysis. CoRR abs/2309.12036 (2023) - [i16]Gianluca Bontempi:
Between accurate prediction and poor decision making: the AI/ML gap. CoRR abs/2310.02029 (2023) - [i15]Uchechukwu F. Njoku, Alberto Abelló, Besim Bilalli, Gianluca Bontempi:
A data-science pipeline to enable the Interpretability of Many-Objective Feature Selection. CoRR abs/2311.18746 (2023) - [i14]Théo Verhelst, Denis Mercier, Jeevan Shrestha, Gianluca Bontempi:
A churn prediction dataset from the telecom sector: a new benchmark for uplift modeling. CoRR abs/2312.07206 (2023) - 2022
- [c70]Uchechukwu Njoku, Alberto Abelló, Besim Bilalli, Gianluca Bontempi:
Impact of Filter Feature Selection on Classification: An Empirical Study. DOLAP 2022: 71-80 - [c69]Gianluca Bontempi:
Machine learning for time series: from forecasting to causal inference. SETN 2022: 2:1 - [i13]Théo Verhelst, Denis Mercier, Jeevan Shrestha, Gianluca Bontempi:
Partial counterfactual identification and uplift modeling: theoretical results and real-world assessment. CoRR abs/2211.07264 (2022) - 2021
- [j45]Giovanni Buroni, Bertrand Lebichot, Gianluca Bontempi:
AST-MTL: An Attention-Based Multi-Task Learning Strategy for Traffic Forecasting. IEEE Access 9: 77359-77370 (2021) - [j44]Bertrand Lebichot, Théo Verhelst, Yann-Aël Le Borgne, Liyun He-Guelton, Frédéric Oblé, Gianluca Bontempi:
Transfer Learning Strategies for Credit Card Fraud Detection. IEEE Access 9: 114754-114766 (2021) - [j43]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:
The CLAIRE COVID-19 initiative: approach, experiences and recommendations. Ethics Inf. Technol. 23(S1): 127-133 (2021) - [j42]Jacopo De Stefani, Gianluca Bontempi:
Factor-Based Framework for Multivariate and Multi-step-ahead Forecasting of Large Scale Time Series. Frontiers Big Data 4: 690267 (2021) - [j41]Bertrand Lebichot, Gian Marco Paldino, Wissam Siblini, Liyun He-Guelton, Frédéric Oblé, Gianluca Bontempi:
Incremental learning strategies for credit cards fraud detection. Int. J. Data Sci. Anal. 12(2): 165-174 (2021) - [j40]Fabrizio Carcillo, Yann-Aël Le Borgne, Olivier Caelen, Yacine Kessaci, Frédéric Oblé, Gianluca Bontempi:
Combining unsupervised and supervised learning in credit card fraud detection. Inf. Sci. 557: 317-331 (2021) - [c68]Théo Verhelst, Jeevan Shrestha, Denis Mercier, Jean-Christophe Dewitte, Gianluca Bontempi:
Predicting Reach to Find Persuadable Customers: Improving Uplift Models for Churn Prevention. DS 2021: 44-54 - [c67]Giovanni Buroni, Gianluca Bontempi, Karl Determe:
A tutorial on network-wide multi-horizon traffic forecasting with deep learning. EDBT/ICDT Workshops 2021 - [i12]Wissam Siblini, Guillaume Coter, Rémy Fabry, Liyun He-Guelton, Frédéric Oblé, Bertrand Lebichot, Yann-Aël Le Borgne, Gianluca Bontempi:
Transfer Learning for Credit Card Fraud Detection: A Journey from Research to Production. CoRR abs/2107.09323 (2021) - 2020
- [c66]Giovanni Buroni, Yann-Aël Le Borgne, Gianluca Bontempi, Daniele Raimondi, Karl Determe:
On-Board Unit Big Data: Short-term Traffic Forecasting in Urban Transportation Networks. DSAA 2020: 569-578 - [c65]Bertrand Lebichot, Gian Marco Paldino, Gianluca Bontempi, Wissam Siblini, Liyun He-Guelton, Frédéric Oblé:
Incremental learning strategies for credit cards fraud detection: Extended abstract. DSAA 2020: 785-786 - [c64]Arnau Dillen, Giovanni Buroni, Yann-Aël Le Borgne, Karl Determe, Gianluca Bontempi:
MOBI-AID: A Big Data Platform for Real-Time Analysis of On Board Unit Data. EDBT/ICDT Workshops 2020 - [c63]Gianluca Bontempi:
Learning causal dependencies in large-variate time series. IJCNN 2020: 1-7 - [c62]Cédric Simar, Mathieu Petieau, Anita Cebolla, Axelle Leroy, Gianluca Bontempi, Guy Cheron:
EEG-based brain-computer interface for alpha speed control of a small robot using the MUSE headband. IJCNN 2020: 1-4 - [e2]Bart Bogaerts, Gianluca Bontempi, Pierre Geurts, Nick Harley, Bertrand Lebichot, Tom Lenaerts, Gilles Louppe:
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. Communications in Computer and Information Science 1196, Springer 2020, ISBN 978-3-030-65153-4 [contents]
2010 – 2019
- 2019
- [j39]Jacopo De Stefani, Yann-Aël Le Borgne, Olivier Caelen, Dalila Hattab, Gianluca Bontempi:
Batch and incremental dynamic factor machine learning for multivariate and multi-step-ahead forecasting. Int. J. Data Sci. Anal. 7(4): 311-329 (2019) - [j38]Mohamed Mounir, Marta Lucchetta, Tiago Chedraoui Silva, Catharina Olsen, Gianluca Bontempi, Xi Chen, Houtan Noushmehr, Antonio Colaprico, Elena Papaleo:
New functionalities in the TCGAbiolinks package for the study and integration of cancer data from GDC and GTEx. PLoS Comput. Biol. 15(3) (2019) - [c61]Théo Verhelst, Olivier Caelen, Jean-Christophe Dewitte, Bertrand Lebichot, Gianluca Bontempi:
Understanding Telecom Customer Churn with Machine Learning: From Prediction to Causal Inference. BNAIC/BENELEARN 2019 - [c60]Théo Verhelst, Olivier Caelen, Jean-Christophe Dewitte, Bertrand Lebichot, Gianluca Bontempi:
Understanding Telecom Customer Churn with Machine Learning: From Prediction to Causal Inference. BNAIC/BENELEARN (Selected Papers) 2019: 182-200 - [c59]Bertrand Lebichot, Yann-Aël Le Borgne, Liyun He-Guelton, Frédéric Oblé, Gianluca Bontempi:
Deep-Learning Domain Adaptation Techniques for Credit Cards Fraud Detection. INNSBDDL 2019: 78-88 - [c58]Gianluca Bontempi:
The Induction Problem: A Machine Learning Vindication Argument. LOD 2019: 232-243 - [p2]Gianluca Bontempi, Maxime Flauder:
From Dependency to Causality: A Machine Learning Approach. Cause Effect Pairs in Machine Learning 2019: 301-320 - [e1]Katrien Beuls, Bart Bogaerts, Gianluca Bontempi, Pierre Geurts, Nick Harley, Bertrand Lebichot, Tom Lenaerts, Gilles Louppe, Paul Van Eecke:
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. CEUR Workshop Proceedings 2491, CEUR-WS.org 2019 [contents] - 2018
- [j37]Fabrizio Carcillo, Yann-Aël Le Borgne, Olivier Caelen, Gianluca Bontempi:
Streaming active learning strategies for real-life credit card fraud detection: assessment and visualization. Int. J. Data Sci. Anal. 5(4): 285-300 (2018) - [j36]Fabrizio Carcillo, Yann-Aël Le Borgne, Olivier Caelen, Gianluca Bontempi:
Correction to: Streaming active learning strategies for real-life credit detection: assessment and visualization. Int. J. Data Sci. Anal. 5(4): 301-302 (2018) - [j35]Fabrizio Carcillo, Andrea Dal Pozzolo, Yann-Aël Le Borgne, Olivier Caelen, Yannis Mazzer, Gianluca Bontempi:
SCARFF: A scalable framework for streaming credit card fraud detection with spark. Inf. Fusion 41: 182-194 (2018) - [j34]Andrea Dal Pozzolo, Giacomo Boracchi, Olivier Caelen, Cesare Alippi, Gianluca Bontempi:
Credit Card Fraud Detection: A Realistic Modeling and a Novel Learning Strategy. IEEE Trans. Neural Networks Learn. Syst. 29(8): 3784-3797 (2018) - [c57]Giovanni Buroni, Yann-Aël Le Borgne, Gianluca Bontempi, Karl Determe:
On-Board-Unit Data: A Big Data Platform for Scalable storage and Processing. Cloudtech 2018: 1-5 - [c56]Giovanni Buroni, Yann-Aël Le Borgne, Gianluca Bontempi, Karl Determe:
Cluster Analysis of On-Board-Unit Truck Big Data from the Brussels Capital Region. ITSC 2018: 2074-2079 - [c55]Jacopo De Stefani, Olivier Caelen, Dalila Hattab, Yann-Aël Le Borgne, Gianluca Bontempi:
A Multivariate and Multi-step Ahead Machine Learning Approach to Traditional and Cryptocurrencies Volatility Forecasting. MIDAS/PAP@PKDD/ECML 2018: 7-22 - [i11]Fabrizio Carcillo, Yann-Aël Le Borgne, Olivier Caelen, Gianluca Bontempi:
Streaming Active Learning Strategies for Real-Life Credit Card Fraud Detection: Assessment and Visualization. CoRR abs/1804.07481 (2018) - [i10]Tiago Chedraoui Silva, Antonio Colaprico, Catharina Olsen, Tathiane M. Malta, Gianluca Bontempi, Michele Ceccarelli, Benjamin P. Berman, Houtan Noushmehr:
TCGAbiolinksGUI: A graphical user interface to analyze cancer molecular and clinical data. F1000Research 7: 439 (2018) - 2017
- [j33]Ngoc Cam Pham, Benjamin Haibe-Kains, Pau Bellot, Gianluca Bontempi, Patrick E. Meyer:
Study of Meta-analysis strategies for network inference using information-theoretic approaches. BioData Min. 10(1): 15:1-15:14 (2017) - [j32]Taosheng Xu, Thuc Duy Le, Lin Liu, Ning Su, Rujing Wang, Bing-Yu Sun, Antonio Colaprico, Gianluca Bontempi, Jiuyong Li:
CancerSubtypes: an R/Bioconductor package for molecular cancer subtype identification, validation and visualization. Bioinform. 33(19): 3131-3133 (2017) - [c54]Claudio Reggiani, Yann-Aël Le Borgne, Gianluca Bontempi:
Feature Selection in High-Dimensional Dataset Using MapReduce. BNCAI 2017: 101-115 - [c53]Gianluca Bontempi, Yann-Aël Le Borgne, Jacopo De Stefani:
A Dynamic Factor Machine Learning Method for Multi-variate and Multi-step-Ahead Forecasting. DSAA 2017: 222-231 - [c52]Fabrizio Carcillo, Yann-Aël Le Borgne, Olivier Caelen, Gianluca Bontempi:
An Assessment of Streaming Active Learning Strategies for Real-Life Credit Card Fraud Detection. DSAA 2017: 631-639 - [c51]Jacopo De Stefani, Olivier Caelen, Dalila Hattab, Gianluca Bontempi:
Machine Learning for Multi-step Ahead Forecasting of Volatility Proxies. MIDAS@PKDD/ECML 2017: 17-28 - [i9]Claudio Reggiani, Yann-Aël Le Borgne, Gianluca Bontempi:
Feature selection in high-dimensional dataset using MapReduce. CoRR abs/1709.02327 (2017) - [i8]Fabrizio Carcillo, Andrea Dal Pozzolo, Yann-Aël Le Borgne, Olivier Caelen, Yannis Mazzer, Gianluca Bontempi:
SCARFF: a Scalable Framework for Streaming Credit Card Fraud Detection with Spark. CoRR abs/1709.08920 (2017) - 2016
- [j31]Claudia Cava, Antonio Colaprico, Gloria Bertoli, Gianluca Bontempi, Giancarlo Mauri, Isabella Castiglioni:
How interacting pathways are regulated by miRNAs in breast cancer subtypes. BMC Bioinform. 17(S-12): 111-133 (2016) - [c50]Gianluca Bontempi, Yann-Aël Le Borgne:
Predictive Modeling in a Big Data Distributed Setting: A Scalable Bias Correction Approach. BigData Congress 2016: 68-74 - [c49]Ngoc Cam Pham, Benjamin Haibe-Kains, Pau Bellot, Gianluca Bontempi, Patrick E. Meyer:
Study of Meta-analysis Strategies for Network Inference Using Information-Theoretic Approaches. DEXA Workshops 2016: 76-83 - [c48]Gianluca Bontempi:
A Blocking Strategy for Ranking Features According to Probabilistic Relevance. MOD 2016: 59-69 - [c47]Yann-Aël Le Borgne, Adriana Homolova, Gianluca Bontempi:
OpenTED Browser: Insights into European Public Spendings. SoGood@ECML-PKDD 2016 - [i7]Yann-Aël Le Borgne, Adriana Homolova, Gianluca Bontempi:
OpenTED Browser: Insights into European Public Spendings. CoRR abs/1611.02118 (2016) - [i6]Tiago Chedraoui Silva, Antonio Colaprico, Catharina Olsen, Fulvio D'Angelo, Gianluca Bontempi, Michele Ceccarelli, Houtan Noushmehr:
TCGA Workflow: Analyze cancer genomics and epigenomics data using Bioconductor packages. F1000Research 5: 1542 (2016) - 2015
- [j30]Liran Lerman, Gianluca Bontempi, Olivier Markowitch:
A machine learning approach against a masked AES - Reaching the limit of side-channel attacks with a learning model. J. Cryptogr. Eng. 5(2): 123-139 (2015) - [j29]Liran Lerman, Gianluca Bontempi, Olivier Markowitch:
The bias-variance decomposition in profiled attacks. J. Cryptogr. Eng. 5(4): 255-267 (2015) - [j28]Gianluca Bontempi, Maxime Flauder:
From dependency to causality: a machine learning approach. J. Mach. Learn. Res. 16: 2437-2457 (2015) - [c46]Liran Lerman, Romain Poussier, Gianluca Bontempi, Olivier Markowitch, François-Xavier Standaert:
Template Attacks vs. Machine Learning Revisited (and the Curse of Dimensionality in Side-Channel Analysis). COSADE 2015: 20-33 - [c45]Andrea Dal Pozzolo, Giacomo Boracchi, Olivier Caelen, Cesare Alippi, Gianluca Bontempi:
Credit card fraud detection and concept-drift adaptation with delayed supervised information. IJCNN 2015: 1-8 - [c44]Andrea Dal Pozzolo, Olivier Caelen, Gianluca Bontempi:
When is Undersampling Effective in Unbalanced Classification Tasks? ECML/PKDD (1) 2015: 200-215 - [c43]Andrea Dal Pozzolo, Olivier Caelen, Reid A. Johnson, Gianluca Bontempi:
Calibrating Probability with Undersampling for Unbalanced Classification. SSCI 2015: 159-166 - 2014
- [j27]Sarah Dedeurwaerder, Matthieu Defrance, Martin Bizet, Emilie Calonne, Gianluca Bontempi, François Fuks:
A comprehensive overview of Infinium HumanMethylation450 data processing. Briefings Bioinform. 15(6): 929-941 (2014) - [j26]Andrea Dal Pozzolo, Olivier Caelen, Yann-Aël Le Borgne, Serge Waterschoot, Gianluca Bontempi:
Learned lessons in credit card fraud detection from a practitioner perspective. Expert Syst. Appl. 41(10): 4915-4928 (2014) - [j25]Liran Lerman, Gianluca Bontempi, Olivier Markowitch:
Power analysis attack: an approach based on machine learning. Int. J. Appl. Cryptogr. 3(2): 97-115 (2014) - [c42]Olmo León, Manuel P. Cuéllar, Miguel Delgado, Yann-Aël Le Borgne, Gianluca Bontempi:
Human Activity Recognition Framework in Monitored Environments. ICPRAM 2014: 487-494 - [c41]Andrea Dal Pozzolo, Reid A. Johnson, Olivier Caelen, Serge Waterschoot, Nitesh V. Chawla, Gianluca Bontempi:
Using HDDT to avoid instances propagation in unbalanced and evolving data streams. IJCNN 2014: 588-594 - [c40]Gianluca Bontempi:
A Monte Carlo strategy for structured multiple-step-ahead time series prediction. IJCNN 2014: 853-858 - [c39]Manuel P. Cuéllar, María Ros, María J. Martín-Bautista, Yann-Aël Le Borgne, Gianluca Bontempi:
An Approach for the Evaluation of Human Activities in Physical Therapy Scenarios. MONAMI 2014: 401-414 - [c38]Miguel Lopes, Gianluca Bontempi:
On the Null Distribution of the Precision and Recall Curve. ECML/PKDD (2) 2014: 322-337 - [i5]Boris Iolis, Gianluca Bontempi:
Optimizing Component Combination in a Multi-Indexing Paragraph Retrieval System. CoRR abs/1408.2430 (2014) - [i4]Gianluca Bontempi, Maxime Flauder:
From dependency to causality: a machine learning approach. CoRR abs/1412.6285 (2014) - 2013
- [j24]Nicolas De Jay, Simon Papillon-Cavanagh, Catharina Olsen, Nehme Hachem, Gianluca Bontempi, Benjamin Haibe-Kains:
mRMRe: an R package for parallelized mRMR ensemble feature selection. Bioinform. 29(18): 2365-2368 (2013) - [j23]Simon Papillon-Cavanagh, Nicolas De Jay, Nehme Hachem, Catharina Olsen, Gianluca Bontempi, Hugo J. W. L. Aerts, John Quackenbush, Benjamin Haibe-Kains:
Research and applications: Comparison and validation of genomic predictors for anticancer drug sensitivity. J. Am. Medical Informatics Assoc. 20(4): 597-602 (2013) - [c37]Panagiotis Moulos, Ioannis Kanaris, Gianluca Bontempi:
Stability of feature selection algorithms for classification in high-throughput genomics datasets. BIBE 2013: 1-4 - [c36]Liran Lerman, Stephane Fernandes Medeiros, Gianluca Bontempi, Olivier Markowitch:
A Machine Learning Approach Against a Masked AES. CARDIS 2013: 61-75 - [c35]Liran Lerman, Stephane Fernandes Medeiros, Nikita Veshchikov, Cédric Meuter, Gianluca Bontempi, Olivier Markowitch:
Semi-Supervised Template Attack. COSADE 2013: 184-199 - [c34]Gianluca Bontempi:
A Statistic Criterion for Reducing Indeterminacy in Linear Causal Modeling. ICPRAM 2013: 159-166 - [c33]Andrea Dal Pozzolo, Olivier Caelen, Serge Waterschoot, Gianluca Bontempi:
Racing for Unbalanced Methods Selection. IDEAL 2013: 24-31 - [c32]Liran Lerman, Gianluca Bontempi, Souhaib Ben Taieb, Olivier Markowitch:
A Time Series Approach for Profiling Attack. SPACE 2013: 75-94 - 2012
- [j22]Souhaib Ben Taieb, Gianluca Bontempi, Amir F. Atiya, Antti Sorjamaa:
A review and comparison of strategies for multi-step ahead time series forecasting based on the NN5 forecasting competition. Expert Syst. Appl. 39(8): 7067-7083 (2012) - [j21]Benjamin Haibe-Kains, Catharina Olsen, Amira Djebbari, Gianluca Bontempi, Mick Correll, Christopher Bouton, John Quackenbush:
Predictive networks: a flexible, open source, web application for integration and analysis of human gene networks. Nucleic Acids Res. 40(Database-Issue): 866-875 (2012) - [c31]Gianluca Bontempi, Souhaib Ben Taieb, Yann-Aël Le Borgne:
Machine Learning Strategies for Time Series Forecasting. eBISS 2012: 62-77 - [c30]Yann-Aël Le Borgne, Gianluca Bontempi:
Time Series Prediction for Energy-Efficient Wireless Sensors: Applications to Environmental Monitoring and Video Games. S-CUBE 2012: 63-72 - [i3]Liran Lerman, Stephane Fernandes Medeiros, Nikita Veshchikov, Cédric Meuter, Gianluca Bontempi, Olivier Markowitch:
Semi-Supervised Template Attack. IACR Cryptol. ePrint Arch. 2012: 82 (2012) - 2011
- [j20]Gianluca Bontempi, Benjamin Haibe-Kains, Christine Desmedt, Christos P. Sotiriou, John Quackenbush:
Multiple-input multiple-output causal strategies for gene selection. BMC Bioinform. 12: 458 (2011) - [j19]Abhilash Alexander Miranda, Catharina Olsen, Gianluca Bontempi:
Fourier spectral factor model for prediction of multidimensional signals. Signal Process. 91(9): 2172-2177 (2011) - [c29]Souhaib Ben Taieb, Gianluca Bontempi:
Recursive Multi-step Time Series Forecasting by Perturbing Data. ICDM 2011: 695-704 - [c28]Gianluca Bontempi:
An Optimal Stopping Strategy for Online Calibration in Local Search. LION 2011: 106-115 - [c27]Gianluca Bontempi, Olivier Caelen:
A Selecting-the-Best Method for Budgeted Model Selection. ECML/PKDD (1) 2011: 249-262 - [i2]Souhaib Ben Taieb, Gianluca Bontempi, Amir F. Atiya, Antti Sorjamaa:
A review and comparison of strategies for multi-step ahead time series forecasting based on the NN5 forecasting competition. CoRR abs/1108.3259 (2011) - 2010
- [j18]Olivier Caelen, Gianluca Bontempi:
A dynamic programming strategy to balance exploration and exploitation in the bandit problem. Ann. Math. Artif. Intell. 60(1-2): 3-24 (2010) - [j17]Souhaib Ben Taieb, Antti Sorjamaa, Gianluca Bontempi:
Multiple-output modeling for multi-step-ahead time series forecasting. Neurocomputing 73(10-12): 1950-1957 (2010) - [c26]Gianluca Bontempi, Patrick E. Meyer:
Causal filter selection in microarray data. ICML 2010: 95-102 - [c25]Yann-Aël Le Borgne, Ann Nowé, Kris Steenhaut, Gianluca Bontempi:
Demonstrating principal component aggregation for distributed spatial pattern recognition. IPSN 2010: 430-431 - [i1]Yann-Aël Le Borgne, Sylvain Raybaud, Gianluca Bontempi:
Distributed Principal Component Analysis for Wireless Sensor Networks. CoRR abs/1003.1967 (2010)
2000 – 2009
- 2009
- [j16]Catharina Olsen, Patrick E. Meyer, Gianluca Bontempi:
On the Impact of Entropy Estimation on Transcriptional Regulatory Network Inference Based on Mutual Information. EURASIP J. Bioinform. Syst. Biol. 2009 (2009) - [c24]Kevin Kontos, Bruno André, Jacques van Helden, Gianluca Bontempi:
Gaussian Graphical Models to Infer Putative Genes Involved in Nitrogen Catabolite Repression in S. cerevisiae. EvoBIO 2009: 13-24 - [c23]Souhaib Ben Taieb, Gianluca Bontempi, Antti Sorjamaa, Amaury Lendasse:
Long-term prediction of time series by combining direct and MIMO strategies. IJCNN 2009: 3054-3061 - [c22]Kevin Kontos, Gianluca Bontempi:
An improved shrinkage estimator to infer regulatory networks with Gaussian graphical models. SAC 2009: 793-798 - 2008
- [j15]Benjamin Haibe-Kains, Christine Desmedt, Christos P. Sotiriou, Gianluca Bontempi:
A comparative study of survival models for breast cancer prognostication based on microarray data: does a single gene beat them all? Bioinform. 24(19): 2200-2208 (2008) - [j14]Patrick E. Meyer, Frédéric Lafitte, Gianluca Bontempi:
minet: A R/Bioconductor Package for Inferring Large Transcriptional Networks Using Mutual Information. BMC Bioinform. 9 (2008) - [j13]Patrick E. Meyer, Colas Schretter, Gianluca Bontempi:
Information-Theoretic Feature Selection in Microarray Data Using Variable Complementarity. IEEE J. Sel. Top. Signal Process. 2(3): 261-274 (2008) - [j12]Abhilash Alexander Miranda, Yann-Aël Le Borgne, Gianluca Bontempi:
New Routes from Minimal Approximation Error to Principal Components. Neural Process. Lett. 27(3): 197-207 (2008) - [c21]Kevin Kontos, Gianluca Bontempi:
Nested q-Partial Graphs for Genetic Network Inference from "Small n, Large p" Microarray Data. BIRD 2008: 273-287 - [c20]Gianluca Bontempi, Patrick E. Meyer:
A Model-Based Relevance Estimation Approach for Feature Selection in Microarray Datasets. ICANN (2) 2008: 21-31 - [p1]Benjamin Haibe-Kains, Christine Desmedt, Sherene Loi, Mauro Delorenzi, Christos P. Sotiriou, Gianluca Bontempi:
Computational Intelligence in Clinical Oncology: Lessons Learned from an Analysis of a Clinical Study. Computational Intelligence in Biomedicine and Bioinformatics 2008: 237-268 - 2007
- [j11]Patrick E. Meyer, Kevin Kontos, Frédéric Lafitte, Gianluca Bontempi:
Information-Theoretic Inference of Large Transcriptional Regulatory Networks. EURASIP J. Bioinform. Syst. Biol. 2007 (2007) - [j10]Jean-Pierre Norguet, Benjamin Tshibasu-Kabeya, Gianluca Bontempi, Esteban Zimányi:
A Page-Classification Approach to Web Usage Semantic Analysis. Eng. Lett. 14(1): 120-126 (2007) - [j9]Yann-Aël Le Borgne, Silvia Santini, Gianluca Bontempi:
Adaptive model selection for time series prediction in wireless sensor networks. Signal Process. 87(12): 3010-3020 (2007) - [j8]Gianluca Bontempi:
A Blocking Strategy to Improve Gene Selection for Classification of Gene Expression Data. IEEE ACM Trans. Comput. Biol. Bioinform. 4(2): 293-300 (2007) - [c19]Olivier Caelen, Gianluca Bontempi, Luc Barvais:
Machine Learning Techniques for Decision Support in Anesthesia. AIME 2007: 165-169 - [c18]Patrick E. Meyer, Kevin Kontos, Gianluca Bontempi:
Biological Network Inference Using Redundancy Analysis. BIRD 2007: 16-27 - [c17]Olivier Caelen, Gianluca Bontempi:
Improving the Exploration Strategy in Bandit Algorithms. LION 2007: 56-68 - 2006
- [c16]Yann-Aël Le Borgne, Mehdi Moussaïd, Gianluca Bontempi:
Simulation Architecture for Data Processing Algorithms in Wireless Sensor Networks. AINA (2) 2006: 383-387 - [c15]Olivier Caelen, Gianluca Bontempi, Eddy Coussaert, Luc Barvais, François Clément:
Machine Learning Techniques to Enable Closed-Loop Control in Anesthesia. CBMS 2006: 696-701 - [c14]Patrick E. Meyer, Gianluca Bontempi:
On the Use of Variable Complementarity for Feature Selection in Cancer Classification. EvoWorkshops 2006: 91-102 - [c13]Jean-Pierre Norguet, Benjamin Tshibasu-Kabeya, Gianluca Bontempi, Esteban Zimányi:
Category-Based Audience Metrics for Web Site Content Improvement Using Ontologies and Page Classification. NLDB 2006: 216-220 - 2005
- [j7]Domenico Villacci, Gianluca Bontempi, Alfredo Vaccaro, Mauro Birattari:
The role of learning methods in the dynamic assessment of power components loading capability. IEEE Trans. Ind. Electron. 52(1): 280-290 (2005) - [c12]Olivier Caelen, Gianluca Bontempi:
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 2005: 51-58 - [c11]Patrick Emmanuel Meyer, Olivier Caelen, Gianluca Bontempi:
Speeding up Feature Selection by Using an Information Theoretic Bound. BNAIC 2005: 166-173 - [c10]Gianluca Bontempi:
Structural feature selection for wrapper methods. ESANN 2005: 405-410 - 2004
- [j6]Gianluca Bontempi, Wido Kruijtzer:
The use of intelligent data analysis techniques for system-level design: a software estimation example. Soft Comput. 8(7): 477-490 (2004) - 2002
- [j5]Edy Bertolissi, Mauro Birattari, Gianluca Bontempi, Antoine Duchâteau, Hugues Bersini:
Data-driven techniques for direct adaptive control: the lazy and the fuzzy approaches. Fuzzy Sets Syst. 128(1): 3-14 (2002) - [c9]Gianluca Bontempi, Wido Kruijtzer:
A Data Analysis Method for Software Performance Prediction. DATE 2002: 971-976 - [c8]Gianluca Bontempi, Gauthier Lafruit:
Enabling Multimedia QoS Control with Black-Box Modelling. Soft-Ware 2002: 46-59 - 2001
- [j4]Gianluca Bontempi, Hugues Bersini, Mauro Birattari:
The local paradigm for modeling and control: from neuro-fuzzy to lazy learning. Fuzzy Sets Syst. 121(1): 59-72 (2001) - 2000
- [j3]Gianluca Bontempi, Mauro Birattari, Hugues Bersini:
A Model Selection Approach for Local Learning. AI Commun. 13(1): 41-48 (2000) - [c7]Gianluca Bontempi, Edy Bertolissi, Mauro Birattari:
Predicting stock markets in boundary conditions with local models. CIFEr 2000: 158-161 - [c6]Gianluca Bontempi, Mauro Birattari:
A multi-steap ahead prediction method based on local dynamic properties. ESANN 2000: 311-316
1990 – 1999
- 1999
- [c5]Gianluca Bontempi, Mauro Birattari, Hugues Bersini:
Local Learning for Iterated Time-Series Prediction. ICML 1999: 32-38 - 1998
- [c4]Gianluca Bontempi, Mauro Birattari, Hugues Bersini:
Recursive Lazy Learning for Modeling and Control. ECML 1998: 292-303 - [c3]Gianluca Bontempi, Mauro Birattari, Hugues Bersini:
Lazy learning for control design. ESANN 1998: 73-78 - [c2]Mauro Birattari, Gianluca Bontempi, Hugues Bersini:
Lazy Learning Meets the Recursive Least Squares Algorithm. NIPS 1998: 375-381 - 1997
- [j2]Hugues Bersini, Gianluca Bontempi:
Now comes the time to defuzzify neuro-fuzzy models. Fuzzy Sets Syst. 90(2): 161-169 (1997) - 1996
- [c1]Gianluca Bontempi:
Qua-SI. III: A Software Tool for Simulation of Fuzzy Dynamical Systems. ESM 1996: 615-619 - 1994
- [j1]Andrea Bonarini, Gianluca Bontempi:
A Qualitative Simulation Approach for Fuzzy Dynamical Models. ACM Trans. Model. Comput. Simul. 4(4): 285-313 (1994)
Coauthor Index
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