World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
58
Citations
20236
World Ranking
3549
National Ranking
35

Overview

Gianluca Bontempi is affiliated with the Université Libre de Bruxelles in Belgium. The primary research focus encompasses computer science and engineering, with significant contributions in artificial intelligence and electrical and electronic engineering. Their work spans a range of interconnected subfields, including management science and operations research, molecular biology, and control and systems engineering.

The scientist's research covers various advanced topics, notably:

  • Imbalanced Data Classification Techniques
  • Machine Learning and Data Classification
  • Hand Gesture Recognition Systems
  • Epigenetics and DNA Methylation
  • Muscle activation and electromyography studies
  • Explainable Artificial Intelligence (XAI)
  • Customer churn and segmentation

Bontempi has collaborated frequently with several coauthors, including:

  • Bertrand Lebichot
  • Théo Verhelst
  • Gian Marco Paldino
  • Cédric Simar
  • Martin Colot

Publication venues where Bontempi's work commonly appears include:

  • arXiv (Cornell University)
  • SSRN Electronic Journal
  • IEEE Access
  • Expert Systems with Applications
  • Frontiers in Neuroscience

Recent papers authored by Bontempi provide insight into specific areas of investigation:

  • "Interpreting pathways to discover cancer driver genes with Moonlight," 2020, Nature Communications
  • "Incremental learning strategies for credit cards fraud detection," 2021, International Journal of Data Science and Analytics
  • "Probing the randomness of the local current distributions of 316 L stainless steel corrosion in NaCl solution," 2023, Corrosion Science
  • "Transfer Learning Strategies for Credit Card Fraud Detection," 2021, IEEE Access
  • "DAFT-E: Feature-Based Multivariate and Multi-Step-Ahead Wind Power Forecasting," 2021, IEEE Transactions on Sustainable Energy

Bontempi's scholarly output also includes book publications, notably a title published by Springer Science+Business Media:

  • Artificial Intelligence and Machine Learning, 2020

Best Publications

  • TCGAbiolinks: an R/Bioconductor package for integrative analysis of TCGA data.

    Antonio Colaprico;Tiago C. Silva;Catharina Olsen;Luciano Garofano

  • Machine learning strategies for time series forecasting

    Gianluca Bontempi;Souhaib Ben Taieb;Yann-Aël Le Borgne

  • minet : A R/Bioconductor Package for Inferring Large Transcriptional Networks Using Mutual Information

    Patrick E Meyer;Frédéric Lafitte;Gianluca Bontempi

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

    Souhaib Ben Taieb;Gianluca Bontempi;Amir F. Atiya;Antti Sorjamaa

  • Calibrating Probability with Undersampling for Unbalanced Classification

    Andrea Dal Pozzolo;Olivier Caelen;Reid Johnson;Gianluca Bontempi

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

    Andrea Dal Pozzolo;Giacomo Boracchi;Olivier Caelen;Cesare Alippi

  • New functionalities in the TCGAbiolinks package for the study and integration of cancer data from GDC and GTEX

    Mohamed Mounir;Marta Lucchetta;Tiago Henrique Da T.C. Silva;Catharina Olsen

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

    Andrea Dal Pozzolo;Olivier Caelen;Yann-Aël Le Borgne;Serge Waterschoot

  • Information-theoretic inference of large transcriptional regulatory networks

    Patrick E. Meyer;Kevin Kontos;Frederic Lafitte;Gianluca Bontempi

  • Predicting prognosis using molecular profiling in estrogen receptor-positive breast cancer treated with tamoxifen.

    Sherene Loi;Benjamin Haibe-Kains;Christine Desmedt;Pratyaksha Wirapati

  • Combining unsupervised and supervised learning in credit card fraud detection

    Fabrizio Carcillo;Yann-Aël Le Borgne;Olivier Caelen;Yacine Kessaci

  • A Three-Gene Model to Robustly Identify Breast Cancer Molecular Subtypes

    Benjamin Haibe-Kains;Christine Desmedt;Sherene Loi;Aedin C. Culhane

  • Lazy learning for local modelling and control design

    Gianluca Bontempi;Mauro Birattari;Hugues Bersini

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

    P.E. Meyer;C. Schretter;G. Bontempi

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

    Souhaib Ben Taieb;Antti Sorjamaa;Gianluca Bontempi

  • A comparative study of survival models for breast cancer prognostication based on microarray data

    B. Haibe-Kains;C. Desmedt;C. Sotiriou;G. Bontempi

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

    Nicolas De Jay;Simon Papillon-Cavanagh;Catharina Olsen;Nehme El-Hachem

  • Association between the PNPLA3 (rs738409 C>G) variant and hepatocellular carcinoma: Evidence from a meta‐analysis of individual participant data

    Eric Trepo;Pierre Nahon;Pierre Nahon;Gianluca Bontempi;Luca Valenti

  • A comprehensive overview of Infinium HumanMethylation450 data processing

    Sarah Dedeurwaerder;Matthieu Defrance;Martin Bizet;Emilie Calonne

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

    Yann-Aël Le Borgne;Silvia Santini;Gianluca Bontempi

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

    Taosheng Xu;Thuc Duy Le;Lin Liu;Ning Su

  • Association between the PNPLA3 (rs738409 C>G) variant and hepatocellular carcinoma: evidence from a meta-analysis of individual participant data

    Eric Trepo;Pierre Nahon;Gianluca Bontempi;Luca Valenti

Frequent Co-Authors

Benjamin Haibe-Kains
Benjamin Haibe-Kains Princess Margaret Cancer Centre
Mauro Birattari
Mauro Birattari Université Libre de Bruxelles
Hugues Bersini
Hugues Bersini Université Libre de Bruxelles
Houtan Noushmehr
Houtan Noushmehr Henry Ford Health System
Robert Kiss
Robert Kiss Université Libre de Bruxelles
John Quackenbush
John Quackenbush Harvard University
Sherene Loi
Sherene Loi Peter MacCallum Cancer Centre
Alfredo Vaccaro
Alfredo Vaccaro University of Sannio
Martine Piccart
Martine Piccart Université Libre de Bruxelles
Emmanuel Barillot
Emmanuel Barillot Institute Curie

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Exploring online degrees in Computer Science opens up flexible pathways for anyone looking to advance their education and career. Many students and professionals are now considering an associate degree online as a practical starting point. These programs allow you to gain foundational skills affordably and quickly.

For those aiming for advanced expertise, pursuing one of the most useful graduate degrees can greatly enhance your prospects. Computer Science, Data Science, and Cybersecurity are just a few fields where demand continues to rise.

Time-conscious learners may be interested in the shortest online masters degree options. These accelerated programs let you earn a recognized qualification in less time, so you can move forward in your career faster.

Budget is also a key consideration. You can find a wide range of cheap online college classes that deliver quality education without breaking the bank. These affordable choices make it possible to upskill or reskill at your own pace.

Best Scientists Citing Gianluca Bontempi

Trending Scientists