Yann-Aël Le Borgne

发表

Decentralised reinforcement learning for energy-efficient scheduling in wireless sensor networks

Ann Nowé, Karl Tuyls, Mihail Mihaylov, 2012, Int. J. Commun. Networks Distributed Syst..

Reinforcement Learning for Self-organizing Wake-Up Scheduling in Wireless Sensor Networks

Ann Nowé, Karl Tuyls, Mihail Mihaylov, 2011, ICAART.

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

Gianluca Bontempi, Olivier Caelen, Yann-Aël Le Borgne, 2018, International Journal of Data Science and Analytics.

New Routes from Minimal Approximation Error to Principal Components

Gianluca Bontempi, Yann-Aël Le Borgne, Abhilash Alexander Miranda, 2008, Neural Processing Letters.

Distributed Principal Component Analysis for Wireless Sensor Networks

Sylvain Raybaud, Gianluca Bontempi, Yann-Aël Le Borgne, 2008, Sensors.

DiGeST: Distributed Computing for Scalable Gene and Variant Ranking with Hadoop/Spark

Tom Lenaerts, Gianluca Bontempi, Yann-Aël Le Borgne, 2017, bioRxiv.

seedEP2 : Integrated modeling of the musculoskeletal system.

Victor Sholukha, Fedor Moiseev, Marcel Rooze, 2012 .

Demonstrating principal component aggregation for distributed spatial pattern recognition

Ann Nowé, Kris Steenhaut, Gianluca Bontempi, 2010, IPSN '10.

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

Gianluca Bontempi, Yann-Aël Le Borgne, Jacopo De Stefani, 2017, 2017 IEEE International Conference on Data Science and Advanced Analytics (DSAA).

Localization for wireless sensor networks with CC2420 radios

Gianluca Bontempi, Yann-Aël Le Borgne, Mathieu Van Der Haegen, 2007 .

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

Gianluca Bontempi, Olivier Caelen, Yann-Aël Le Borgne, 2017, 2017 IEEE International Conference on Data Science and Advanced Analytics (DSAA).

OpenTED Browser: Insights into European Public Spendings pdf

Gianluca Bontempi, Yann-Aël Le Borgne, Adriana Homolova, 2016, SoGood@ECML-PKDD.

Time series prediction in wireless sensor networks for energy saving

Gianluca Bontempi, Yann-Aël Le Borgne, 2009 .

Open Review in computer science Elsevier grand challenge on executable papers

Yann-Aël Le Borgne, A. Campo, 2011, ICCS.

Distributed cooperation in wireless sensor networks

Ann Nowé, Karl Tuyls, Mihail Mihaylov, 2011, AAMAS.

Human Activity Recognition Framework in Monitored Environments

Manuel P. Cuéllar, Gianluca Bontempi, Miguel Delgado, 2014, ICPRAM.

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

Manuel P. Cuéllar, Gianluca Bontempi, Maria J. Martín-Bautista, 2014, MONAMI.

Unsupervised and supervised compression with principal component analysis in wireless sensor networks

Gianluca Bontempi, Yann-Aël Le Borgne, Gianluca Bontempi, 2007 .

Simulation architecture for data processing algorithms in wireless sensor networks

Gianluca Bontempi, Mehdi Moussaïd, Yann-Aël Le Borgne, 2006, 20th International Conference on Advanced Information Networking and Applications - Volume 1 (AINA'06).

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

Gianluca Bontempi, Yann-Aël Le Borgne, Giovanni Buroni, 2018, 2018 21st International Conference on Intelligent Transportation Systems (ITSC).

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

Daniele Raimondi, Yann-Aël Le Borgne, Gianluca Bontempi, 2020, 2020 IEEE 7th International Conference on Data Science and Advanced Analytics (DSAA).

An adaptive modular approach to the mining of sensor network data

Gianluca Bontempi, Yann-Aël Le Borgne, Gianluca Bontempi, 2005 .

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

Gianluca Bontempi, Yann-Aël Le Borgne, Gianluca Bontempi, 2016, 2016 IEEE International Congress on Big Data (BigData Congress).

Self-organizing Synchronicity and Desynchronicity using Reinforcement Learning

Ann Nowé, Karl Tuyls, Mihail Mihaylov, 2011, ICAART.

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

Gianluca Bontempi, Andrea Dal Pozzolo, Olivier Caelen, 2017, Inf. Fusion.

Distributed regression for high-level feature extraction in wireless sensor networks

Ann Nowé, Kris Steenhaut, Yann-Aël Le Borgne, 2010, 2010 Seventh International Conference on Networked Sensing Systems (INSS).

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

Gianluca Bontempi, Olivier Caelen, Yann-Aël Le Borgne, 2018, International Journal of Data Science and Analytics.

Combining unsupervised and supervised learning in credit card fraud detection

Frédéric Oblé, Yacine Kessaci, Gianluca Bontempi, 2019, Inf. Sci..

Principal component aggregation for energy efficient information extraction in wireless sensor networks

Jean-Michel Dricot, Gianluca Bontempi, Yann-Aël Le Borgne, 2008 .

Data mining toolbox for gait analysis in children with cerebral palsy

Patrick Salvia, Gianluca Bontempi, Serge Van Sint Jan, 2013 .

Deep-Learning Domain Adaptation Techniques for Credit Cards Fraud Detection

Frédéric Oblé, Gianluca Bontempi, Yann-Aël Le Borgne, 2019, INNSBDDL.

Feature Selection in High-Dimensional Dataset Using MapReduce

Gianluca Bontempi, Yann-Aël Le Borgne, Claudio Reggiani, 2017, BNCAI.

Lifetime optimization for wireless sensor networks with correlated data gathering

Ann Nowé, Kris Steenhaut, Yann-Aël Le Borgne, 2010, 8th International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks.

Adaptive data mining for sensor network data

Gianluca Bontempi, Yann-Aël Le Borgne, Mehdi Moussaid, 2005 .

Lifetime optimization for sensor networks with correlated data gathering

Ann Nowé, Kris Steenhaut, Yann-Aël Le Borgne, 2010, 2010 Seventh International Conference on Networked Sensing Systems (INSS).

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

Gianluca Bontempi, Olivier Caelen, Yann-Aël Le Borgne, 2018, International Journal of Data Science and Analytics.

Performance evaluation of machine learning techniques for the localization of users in wireless sensor networks

Jean-Michel Dricot, Gianluca Bontempi, Yann-Aël Le Borgne, 2008 .

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

Gianluca Bontempi, Yann-Aël Le Borgne, Giovanni Buroni, 2020, EDBT/ICDT Workshops.

Adaptive model selection for time series prediction in wireless sensor networks

Silvia Santini, Gianluca Bontempi, Yann-Aël Le Borgne, 2007, Signal Process..

Machine Learning Strategies for Time Series Forecasting

Gianluca Bontempi, Souhaib Ben Taieb, Yann-Aël Le Borgne, 2012, eBISS.

Minimum Redundancy Maximum Relevance: MapReduce implementation using Apache Hadoop

Gianluca Bontempi, Andrea Dal Pozzolo, Yann-Aël Le Borgne, 2014 .

A modular framework for user localization and tracking using machine learning techniques in wireless sensor networks

Jean-Michel Dricot, Gianluca Bontempi, Yann-Aël Le Borgne, 2008 .

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

Gianluca Bontempi, Yann-Aël Le Borgne, Gianluca Bontempi, 2012, S-CUBE.

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

Gianluca Bontempi, Olivier Caelen, Yann-Aël Le Borgne, 2018, MIDAS/PAP@PKDD/ECML.

Learned lessons in credit card fraud detection from a practitioner perspective

Gianluca Bontempi, Andrea Dal Pozzolo, Olivier Caelen, 2014, Expert Syst. Appl..