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08/14/2023
LCE: An Augmented Combination of Bagging and Boosting in Python
lcensemble is a high-performing, scalable and user-friendly Python packa...
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11/14/2022
Unique in the Smart Grid -The Privacy Cost of Fine-Grained Electrical Consumption Data
The collection of electrical consumption time series through smart meter...
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09/19/2022
On the benefits of self-taught learning for brain decoding
We study the benefits of using a large public neuroimaging database comp...
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08/02/2022
UniRank: Unimodal Bandit Algorithm for Online Ranking
We tackle a new emerging problem, which is finding an optimal monopartit...
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09/15/2021
Discovering Useful Compact Sets of Sequential Rules in a Long Sequence
We are interested in understanding the underlying generation process for...
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09/29/2020
Localize to Classify and Classify to Localize: Mutual Guidance in Object Detection
Most deep learning object detectors are based on the anchor mechanism an...
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09/28/2020
Position-Based Multiple-Play Bandits with Thompson Sampling
Multiple-play bandits aim at displaying relevant items at relevant posit...
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09/26/2020
Multispectral Fusion for Object Detection with Cyclic Fuse-and-Refine Blocks
Multispectral images (e.g. visible and infrared) may be particularly use...
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09/10/2020
XCM: An Explainable Convolutional Neural Network for Multivariate Time Series Classification
We present XCM, an eXplainable Convolutional neural network for Multivar...
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05/29/2020
A Performance-Explainability Framework to Benchmark Machine Learning Methods: Application to Multivariate Time Series Classifiers
Our research aims to propose a new performance-explainability analytical...
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05/07/2020
Local Cascade Ensemble for Multivariate Data Classification
We present LCE, a Local Cascade Ensemble for traditional (tabular) multi...
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06/03/2019
Learning Interpretable Shapelets for Time Series Classification through Adversarial Regularization
Times series classification can be successfully tackled by jointly learn...
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07/25/2017