Gianluca Bontempi

Proceedings of the Proceedings 26th International Conference on Extending Database Technology, 2023

Adversarial Learning in Real-World Fraud Detection: Challenges and Perspectives.

[BibT_eX]

[DOI]

Proceedings of the Second ACM Data Economy Workshop, 2023

2022

Machine learning for time series: from forecasting to causal inference.

[BibT_eX]

[DOI]

Proceedings of the SETN 2022: 12th Hellenic Conference on Artificial Intelligence, Corfu, Greece, September 7, 2022

Impact of Filter Feature Selection on Classification: An Empirical Study.

[BibT_eX]

[DOI]

Proceedings of the 24th International Workshop on Design, 2022

2021

Combining unsupervised and supervised learning in credit card fraud detection.

[BibT_eX]

[DOI]

Inf. Sci., 2021

Incremental learning strategies for credit cards fraud detection.

[BibT_eX]

[DOI]

Int. J. Data Sci. Anal., 2021

Factor-Based Framework for Multivariate and Multi-step-ahead Forecasting of Large Scale Time Series.

[BibT_eX]

[DOI]

Jacopo De Stefani

Frontiers Big Data, 2021

The CLAIRE COVID-19 initiative: approach, experiences and recommendations.

[BibT_eX]

[DOI]

Ethics Inf. Technol., 2021

Transfer Learning for Credit Card Fraud Detection: A Journey from Research to Production.

[BibT_eX]

[DOI]

CoRR, 2021

Transfer Learning Strategies for Credit Card Fraud Detection.

[BibT_eX]

[DOI]

IEEE Access, 2021

AST-MTL: An Attention-Based Multi-Task Learning Strategy for Traffic Forecasting.

[BibT_eX]

[DOI]

Giovanni Buroni

Bertrand Lebichot

IEEE Access, 2021

A tutorial on network-wide multi-horizon traffic forecasting with deep learning.

[BibT_eX]

[DOI]

Giovanni Buroni

Karl Determe

Proceedings of the Workshops of the EDBT/ICDT 2021 Joint Conference, 2021

Predicting Reach to Find Persuadable Customers: Improving Uplift Models for Churn Prevention.

[BibT_eX]

[DOI]

Théo Verhelst

Jeevan Shrestha

Denis Mercier

Jean-Christophe Dewitte

Proceedings of the Discovery Science - 24th International Conference, 2021

2020

EEG-based brain-computer interface for alpha speed control of a small robot using the MUSE headband.

[BibT_eX]

[DOI]

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Learning causal dependencies in large-variate time series.

[BibT_eX]

[DOI]

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

MOBI-AID: A Big Data Platform for Real-Time Analysis of On Board Unit Data.

[BibT_eX]

[DOI]

Proceedings of the Workshops of the EDBT/ICDT 2020 Joint Conference, 2020

Incremental learning strategies for credit cards fraud detection: Extended abstract.

[BibT_eX]

[DOI]

Proceedings of the 7th IEEE International Conference on Data Science and Advanced Analytics, 2020

On-Board Unit Big Data: Short-term Traffic Forecasting in Urban Transportation Networks.

[BibT_eX]

[DOI]

Proceedings of the 7th IEEE International Conference on Data Science and Advanced Analytics, 2020

2019

New functionalities in the TCGAbiolinks package for the study and integration of cancer data from GDC and GTEx.

[BibT_eX]

[DOI]

Mohamed Mounir

Marta Lucchetta

Tiago Chedraoui Silva

PLoS Comput. Biol., 2019

Batch and incremental dynamic factor machine learning for multivariate and multi-step-ahead forecasting.

[BibT_eX]

[DOI]

Int. J. Data Sci. Anal., 2019

The Induction Problem: A Machine Learning Vindication Argument.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning, Optimization, and Data Science, 2019

Deep-Learning Domain Adaptation Techniques for Credit Cards Fraud Detection.

[BibT_eX]

[DOI]

Proceedings of the Recent Advances in Big Data and Deep Learning, 2019

Understanding Telecom Customer Churn with Machine Learning: From Prediction to Causal Inference.

[BibT_eX]

[DOI]

Théo Verhelst

Jean-Christophe Dewitte

Bertrand Lebichot

Proceedings of the Artificial Intelligence and Machine Learning, 2019

From Dependency to Causality: A Machine Learning Approach.

[BibT_eX]

[DOI]

Maxime Flauder

Proceedings of the Cause Effect Pairs in Machine Learning, 2019

2018

Credit Card Fraud Detection: A Realistic Modeling and a Novel Learning Strategy.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2018

SCARFF: A scalable framework for streaming credit card fraud detection with spark.

[BibT_eX]

[DOI]

Inf. Fusion, 2018

Correction to: Streaming active learning strategies for real-life credit detection: assessment and visualization.

[BibT_eX]

[DOI]

Int. J. Data Sci. Anal., 2018

Streaming active learning strategies for real-life credit card fraud detection: assessment and visualization.

[BibT_eX]

[DOI]

Int. J. Data Sci. Anal., 2018

TCGAbiolinksGUI: A graphical user interface to analyze cancer molecular and clinical data.

[BibT_eX]

[DOI]

Tiago Chedraoui Silva

F1000Research, 2018

A Multivariate and Multi-step Ahead Machine Learning Approach to Traditional and Cryptocurrencies Volatility Forecasting.

[BibT_eX]

[DOI]

Proceedings of the ECML PKDD 2018 Workshops, 2018

Cluster Analysis of On-Board-Unit Truck Big Data from the Brussels Capital Region.

[BibT_eX]

[DOI]

Proceedings of the 21st International Conference on Intelligent Transportation Systems, 2018

On-Board-Unit Data: A Big Data Platform for Scalable storage and Processing.

[BibT_eX]

[DOI]

Proceedings of the 2018 4th International Conference on Cloud Computing Technologies and Applications, 2018

2017

CancerSubtypes: an R/Bioconductor package for molecular cancer subtype identification, validation and visualization.

[BibT_eX]

[DOI]

Bioinform., 2017

Study of Meta-analysis strategies for network inference using information-theoretic approaches.

[BibT_eX]

[DOI]

BioData Min., 2017

Machine Learning for Multi-step Ahead Forecasting of Volatility Proxies.

[BibT_eX]

[DOI]

Proceedings of the Second Workshop on MIning DAta for financial applicationS (MIDAS 2017) co-located with the 2017 European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD 2017), 2017

An Assessment of Streaming Active Learning Strategies for Real-Life Credit Card Fraud Detection.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE International Conference on Data Science and Advanced Analytics, 2017

A Dynamic Factor Machine Learning Method for Multi-variate and Multi-step-Ahead Forecasting.

[BibT_eX]

[DOI]

Jacopo De Stefani

Proceedings of the 2017 IEEE International Conference on Data Science and Advanced Analytics, 2017

Feature Selection in High-Dimensional Dataset Using MapReduce.

[BibT_eX]

[DOI]

Claudio Reggiani

Proceedings of the Artificial Intelligence - 29th Benelux Conference, 2017

2016

<i>TCGA Workflow</i>: Analyze cancer genomics and epigenomics data using Bioconductor packages.

[BibT_eX]

[DOI]

Tiago Chedraoui Silva

F1000Research, 2016

How interacting pathways are regulated by miRNAs in breast cancer subtypes.

[BibT_eX]

[DOI]

BMC Bioinform., 2016

OpenTED Browser: Insights into European Public Spendings.

[BibT_eX]

[DOI]

Adriana Homolova

Proceedings of the First Workshop on Data Science for Social Good co-located with European Conference on Machine Learning and Principles and Practice of Knowledge Dicovery in Databases, 2016

A Blocking Strategy for Ranking Features According to Probabilistic Relevance.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning, Optimization, and Big Data, 2016

Predictive Modeling in a Big Data Distributed Setting: A Scalable Bias Correction Approach.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE International Congress on Big Data, San Francisco, CA, USA, June 27, 2016

2015

From dependency to causality: a machine learning approach.

[BibT_eX]

[DOI]

Maxime Flauder

J. Mach. Learn. Res., 2015

The bias-variance decomposition in profiled attacks.

[BibT_eX]

[DOI]

J. Cryptogr. Eng., 2015

A machine learning approach against a masked AES - Reaching the limit of side-channel attacks with a learning model.

[BibT_eX]

[DOI]

J. Cryptogr. Eng., 2015

Calibrating Probability with Undersampling for Unbalanced Classification.

[BibT_eX]

[DOI]

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2015

When is Undersampling Effective in Unbalanced Classification Tasks?

[BibT_eX]

[DOI]

Andrea Dal Pozzolo

François-Xavier Standaert

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2015

Credit card fraud detection and concept-drift adaptation with delayed supervised information.

[BibT_eX]

[DOI]

Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

Template Attacks vs. Machine Learning Revisited (and the Curse of Dimensionality in Side-Channel Analysis).

[BibT_eX]

[DOI]

Proceedings of the Constructive Side-Channel Analysis and Secure Design, 2015

2014

Power analysis attack: an approach based on machine learning.

[BibT_eX]

[DOI]

Int. J. Appl. Cryptogr., 2014

Learned lessons in credit card fraud detection from a practitioner perspective.

[BibT_eX]

[DOI]

Expert Syst. Appl., 2014

Optimizing Component Combination in a Multi-Indexing Paragraph Retrieval System.

[BibT_eX]

[DOI]

Boris Iolis

CoRR, 2014

A comprehensive overview of Infinium HumanMethylation450 data processing.

[BibT_eX]

[DOI]

Briefings Bioinform., 2014

On the Null Distribution of the Precision and Recall Curve.

[BibT_eX]

[DOI]

Miguel Lopes

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2014

An Approach for the Evaluation of Human Activities in Physical Therapy Scenarios.

[BibT_eX]

[DOI]

Manuel P. Cuéllar

María Ros

María J. Martín-Bautista

Proceedings of the Mobile Networks and Management - 6th International Conference, 2014

Using HDDT to avoid instances propagation in unbalanced and evolving data streams.

[BibT_eX]

[DOI]

Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

A Monte Carlo strategy for structured multiple-step-ahead time series prediction.

[BibT_eX]

[DOI]

Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

Human Activity Recognition Framework in Monitored Environments.

[BibT_eX]

[DOI]

Proceedings of the ICPRAM 2014, 2014

2013

Research and applications: Comparison and validation of genomic predictors for anticancer drug sensitivity.

[BibT_eX]

[DOI]

Simon Papillon-Cavanagh

J. Am. Medical Informatics Assoc., 2013

mRMRe: an R package for parallelized mRMR ensemble feature selection.

[BibT_eX]

[DOI]

Nicolas De Jay

Simon Papillon-Cavanagh

Bioinform., 2013

A Time Series Approach for Profiling Attack.

[BibT_eX]

[DOI]

Proceedings of the Security, Privacy, and Applied Cryptography Engineering, 2013

Racing for Unbalanced Methods Selection.

[BibT_eX]

[DOI]

Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2013, 2013

A Statistic Criterion for Reducing Indeterminacy in Linear Causal Modeling.

[BibT_eX]

Proceedings of the ICPRAM 2013, 2013

A Machine Learning Approach Against a Masked AES.

[BibT_eX]

[DOI]

Stephane Fernandes Medeiros

Proceedings of the Smart Card Research and Advanced Applications, 2013

Stability of feature selection algorithms for classification in high-throughput genomics datasets.

[BibT_eX]

[DOI]

Panagiotis Moulos

Ioannis Kanaris

Proceedings of the 13th IEEE International Conference on BioInformatics and BioEngineering, 2013

2012

Predictive networks: a flexible, open source, web application for integration and analysis of human gene networks.

[BibT_eX]

[DOI]

Nucleic Acids Res., 2012

Semi-Supervised Template Attack.

[BibT_eX]

[DOI]

Stephane Fernandes Medeiros

IACR Cryptol. ePrint Arch., 2012

A review and comparison of strategies for multi-step ahead time series forecasting based on the NN5 forecasting competition.

[BibT_eX]

[DOI]

Expert Syst. Appl., 2012

Time Series Prediction for Energy-Efficient Wireless Sensors: Applications to Environmental Monitoring and Video Games.

[BibT_eX]

[DOI]

Proceedings of the Sensor Systems and Software - Third International ICST Conference, 2012

Machine Learning Strategies for Time Series Forecasting.

[BibT_eX]

[DOI]

Souhaib Ben Taieb

Abhilash Alexander Miranda

Proceedings of the Business Intelligence - Second European Summer School, 2012

2011

Fourier spectral factor model for prediction of multidimensional signals.

[BibT_eX]

[DOI]

Catharina Olsen

Signal Process., 2011

Multiple-input multiple-output causal strategies for gene selection.

[BibT_eX]

[DOI]

BMC Bioinform., 2011

A Selecting-the-Best Method for Budgeted Model Selection.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2011

An Optimal Stopping Strategy for Online Calibration in Local Search.

[BibT_eX]

[DOI]

Proceedings of the Learning and Intelligent Optimization - 5th International Conference, 2011

Recursive Multi-step Time Series Forecasting by Perturbing Data.

[BibT_eX]

[DOI]

Souhaib Ben Taieb

Proceedings of the 11th IEEE International Conference on Data Mining, 2011

2010

Multiple-output modeling for multi-step-ahead time series forecasting.

[BibT_eX]

[DOI]

Souhaib Ben Taieb

Antti Sorjamaa

Neurocomputing, 2010

Distributed Principal Component Analysis for Wireless Sensor Networks

[BibT_eX]

[DOI]

Sylvain Raybaud

CoRR, 2010

A dynamic programming strategy to balance exploration and exploitation in the bandit problem.

[BibT_eX]

[DOI]

Ann. Math. Artif. Intell., 2010

Demonstrating principal component aggregation for distributed spatial pattern recognition.

[BibT_eX]

[DOI]

Proceedings of the 9th International Conference on Information Processing in Sensor Networks, 2010

Causal filter selection in microarray data.

[BibT_eX]

[DOI]

Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010

2009

On the Impact of Entropy Estimation on Transcriptional Regulatory Network Inference Based on Mutual Information.

[BibT_eX]

[DOI]

Catharina Olsen

EURASIP J. Bioinform. Syst. Biol., 2009

An improved shrinkage estimator to infer regulatory networks with Gaussian graphical models.

[BibT_eX]

[DOI]

Kevin Kontos

Abhilash Alexander Miranda

Proceedings of the 2009 ACM Symposium on Applied Computing (SAC), 2009

Long-term prediction of time series by combining direct and MIMO strategies.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2009

Gaussian Graphical Models to Infer Putative Genes Involved in Nitrogen Catabolite Repression in S. cerevisiae.

[BibT_eX]

[DOI]

Proceedings of the Evolutionary Computation, 2009

2008

Computational Intelligence in Clinical Oncology: Lessons Learned from an Analysis of a Clinical Study.

[BibT_eX]

[DOI]

Proceedings of the Computational Intelligence in Biomedicine and Bioinformatics, 2008

New Routes from Minimal Approximation Error to Principal Components.

[BibT_eX]

[DOI]

Neural Process. Lett., 2008

Information-Theoretic Feature Selection in Microarray Data Using Variable Complementarity.

[BibT_eX]

[DOI]

Colas Schretter

IEEE J. Sel. Top. Signal Process., 2008

<i>minet</i>: A R/Bioconductor Package for Inferring Large Transcriptional Networks Using Mutual Information.

[BibT_eX]

[DOI]

Frédéric Lafitte

BMC Bioinform., 2008

A comparative study of survival models for breast cancer prognostication based on microarray data: does a single gene beat them all?

[BibT_eX]

[DOI]

Bioinform., 2008

A Model-Based Relevance Estimation Approach for Feature Selection in Microarray Datasets.

[BibT_eX]

[DOI]

Proceedings of the Artificial Neural Networks, 2008

Nested q-Partial Graphs for Genetic Network Inference from "Small n, Large p" Microarray Data.

[BibT_eX]

[DOI]

Kevin Kontos

Proceedings of the Bioinformatics Research and Development, 2008

2007

A Blocking Strategy to Improve Gene Selection for Classification of Gene Expression Data.

[BibT_eX]

[DOI]

IEEE ACM Trans. Comput. Biol. Bioinform., 2007

Adaptive model selection for time series prediction in wireless sensor networks.

[BibT_eX]

[DOI]

Silvia Santini

Signal Process., 2007

A Page-Classification Approach to Web Usage Semantic Analysis.

[BibT_eX]

[DOI]

Jean-Pierre Norguet

Benjamin Tshibasu-Kabeya

Esteban Zimányi

Eng. Lett., 2007

Information-Theoretic Inference of Large Transcriptional Regulatory Networks.

[BibT_eX]

[DOI]

EURASIP J. Bioinform. Syst. Biol., 2007

Improving the Exploration Strategy in Bandit Algorithms.

[BibT_eX]

[DOI]

Proceedings of the Learning and Intelligent Optimization, Second International Conference, 2007

Biological Network Inference Using Redundancy Analysis.

[BibT_eX]

[DOI]

Kevin Kontos

Proceedings of the Bioinformatics Research and Development, First International Conference, 2007

Machine Learning Techniques for Decision Support in Anesthesia.

[BibT_eX]

[DOI]

Luc Barvais

Proceedings of the Artificial Intelligence in Medicine, 2007

2006

Category-Based Audience Metrics for Web Site Content Improvement Using Ontologies and Page Classification.

[BibT_eX]

[DOI]

Jean-Pierre Norguet

Benjamin Tshibasu-Kabeya

Esteban Zimányi

Proceedings of the Natural Language Processing and Information Systems, 2006

On the Use of Variable Complementarity for Feature Selection in Cancer Classification.

[BibT_eX]

[DOI]

Proceedings of the Applications of Evolutionary Computing, 2006

Machine Learning Techniques to Enable Closed-Loop Control in Anesthesia.

[BibT_eX]

[DOI]

Proceedings of the 19th IEEE International Symposium on Computer-Based Medical Systems (CBMS 2006), 2006

Simulation Architecture for Data Processing Algorithms in Wireless Sensor Networks.

[BibT_eX]

[DOI]

Mehdi Moussaïd

Proceedings of the 20th International Conference on Advanced Information Networking and Applications (AINA 2006), 2006

2005

The role of learning methods in the dynamic assessment of power components loading capability.

[BibT_eX]

[DOI]

IEEE Trans. Ind. Electron., 2005

Structural feature selection for wrapper methods.

[BibT_eX]

[DOI]

Proceedings of the 13th European Symposium on Artificial Neural Networks, 2005

Speeding up Feature Selection by Using an Information Theoretic Bound.

[BibT_eX]

Patrick Emmanuel Meyer

Proceedings of the BNAIC 2005, 2005

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.

[BibT_eX]

Proceedings of the BNAIC 2005, 2005

2004

The use of intelligent data analysis techniques for system-level design: a software estimation example.

[BibT_eX]

[DOI]