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Michael Aupetit
- ESANN 2022 - Supervised dimensionality reduction technique accounting for soft classes [Details]
- ESANN 2017 - Reducing variance due to importance weighting in covariate shift bias correction [Details]
- ESANN 2006 - Learning with monotonicity requirements for optimal routing with end-to-end quality of service constraints [Details]
- ESANN 2006 - Modelling switching dynamics using prediction experts operating on distinct wavelet scales [Details]
- ESANN 2006 - Probabilistic classifiers and time-scale representations: application to the monitoring of a tramway guiding system [Details]
- ESANN 2008 - Handling almost-deterministic relationships in constraint-based Bayesian network discovery : Application to cancer risk factor identification [Details]
- ESANN 2008 - SOM based clustering with instance-level constraints [Details]
- ESANN 2001 - Segmentation of switching dynamics with a Hidden Markov Model of neural prediction experts [Details]
- ESANN 2001 - An integrated neural IR system [Details]
- ESANN 2002 - High frequency forecasting with associative memories [Details]
- ESANN 2002 - Novelty detection for strain-gauge degradation using maximally correlated components [Details]
- ESANN 2005 - Chemical similarity searching using a neural graph matcher [Details]
- ESANN 1997 - Neural network cooperation for handwritten digit recognition: a comparison of four methods [Details]
- ESANN 1996 - Interpreting data through neural and statistical tools [Details]
- ESANN 1994 - A constructive training algorithm for feedforward neural networks with ternary weights [Details]
- ESANN 2023 - Disambiguating Signs: Deep Learning-based Gloss-level Classification for German Sign Language by Utilizing Mouth Actions [Details]
- ESANN 2004 - MultiGrid-Based Fuzzy Systems for Time Series: Forecasting: Overcoming the curse of dimensionality [Details]
- ESANN 2014 - Swim velocity profile identification through a Dynamic Self-adaptive Multiobjective Harmonic Search and RBF neural networks [Details]
- ESANN 2010 - Figure-ground Segmentation using Metrics Adaptation in Level Set Methods [Details]
- ESANN 2018 - Comparison of cluster validation indices with missing data [Details]
- ESANN 2011 - D-VisionDraughts: a draughts player neural network that learns by reinforcement in a high performance environment [Details]
- ESANN 2000 - Evaluating SOMs using order metrics [Details]
- ESANN 2020 - Binary and Multi-label Defect Classification of Printed Circuit Board based on Transfer Learning [Details]
- ESANN 2023 - Evaluation of Contrastive Learning for Electronic Component Detection [Details]
- ESANN 2019 - Complex Valued Gated Auto-encoder for Video Frame Prediction [Details]
- ESANN 2014 - Data normalization and supervised learning to assess the condition of patients with multiple sclerosis based on gait analysis [Details]
- ESANN 2023 - TabSRA: An Attention based Self-Explainable Model for Tabular Learning [Details]
- ESANN 2021 - Multivariate Time Series Multi-Coclustering. Application to Advanced Driving Assistance System Validation [Details]
- ESANN 2008 - Clustering of Self-Organizing Map [Details]
- ESANN 2005 - A new approach based on wavelet-ICA algorithms for fetal electrocardiogram extraction [Details]