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François-Xavier Standaert
- ESANN 2023 - Fine-tuning is not (always) overfitting artifacts [Details]
- ESANN 2024 - Does a Reduced Fine-Tuning Surface Impact the Stability of the Explanations of LLMs? [Details]
- ESANN 2023 - Learning Vector Quantization in Context of Information Bottleneck Theory [Details]
- ESANN 2023 - Multimodal Approach for Harmonized System Code Prediction [Details]
- ESANN 2023 - Similarity versus Supervision: Best Approaches for HS Code Prediction [Details]
- ESANN 2017 - The Top 10 Topics in Machine Learning Revisited: A Quantitative Meta-Study [Details]
- ESANN 2018 - Impact of Biases in Big Data [Details]
- ESANN 2019 - time series modelling of market price in real-time bidding [Details]
- ESANN 2001 - Texture analysis with the Volterra model using conjugate gradient optimisation [Details]
- ESANN 2011 - Inferring the causal decomposition under the presence of deterministic relations [Details]
- ESANN 2019 - Detecting Ghostwriters in High Schools [Details]
- ESANN 2017 - Scholar Performance Prediction using Boosted Regression Trees Techniques [Details]
- ESANN 2012 - EMFit based Ultrasonic Phased Arrays with evolved Weights for Biomimetic Target Localization [Details]
- ESANN 2012 - Effects of noise-reduction on neural function approximation [Details]
- ESANN 2013 - Evolutionary computation based system decomposition with neural networks [Details]
- ESANN 2005 - An artificial neural network for analysing the survival of patients with colorectal cancer [Details]
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- ESANN 2010 - Neural competition for motion segmentation [Details]
- ESANN 2005 - A Neural Network that helps building a Nonlinear Dynamical model of a Power Amplifier [Details]
- ESANN 2004 - Neural dynamics for task-oriented grouping of communicating agents [Details]
- ESANN 2003 - On the weight dynamics of recurrent learning [Details]
- ESANN 2007 - Intrinsic plasticity for reservoir learning algorithms [Details]
- ESANN 2007 - Several ways to solve the MSO problem [Details]
- ESANN 2000 - Local input-output stability of recurrent networks with time-varying weights [Details]
- ESANN 2002 - Perspectives on learning with recurrent neural networks [Details]
- ESANN 2006 - Adaptive scene-dependent filters in online learning environments [Details]
- ESANN 2006 - Recent trends in online learning for cognitive robots [Details]
- ESANN 2006 - Unsupervised clustering of continuous trajectories of kinematic trees with SOM-SD [Details]
- ESANN 2010 - Efficient online learning of a non-negative sparse autoencoder [Details]
- ESANN 2010 - Figure-ground Segmentation using Metrics Adaptation in Level Set Methods [Details]
- ESANN 2010 - Neural competition for motion segmentation [Details]
- ESANN 2013 - Neurally imprinted stable vector fields [Details]
- ESANN 2015 - A flat neural network architecture to represent movement primitives with integrated sequencing [Details]
- ESANN 2016 - Modelling of parameterized processes via regression in the model space [Details]
- ESANN 2004 - Input Space Bifurcation Manifolds of RNNs [Details]
- ESANN 2005 - Stability of backpropagation-decorrelation efficient O(N) recurrent learning [Details]
- ESANN 2008 - Robust object segmentation by adaptive metrics in Generalized LVQ [Details]
- ESANN 2009 - Attractor-based computation with reservoirs for online learning of inverse kinematics [Details]
- ESANN 2009 - Recent advances in efficient learning of recurrent networks [Details]
- ESANN 2011 - Reservoir regularization stabilizes learning of Echo State Networks with output feedback [Details]
- ESANN 2012 - Balancing of neural contributions for multi-modal hidden state association [Details]
- ESANN 2012 - Learning visuo-motor coordination for pointing without depth calculation [Details]
- ESANN 2012 - intrinsic plasticity via natural gradient descent [Details]
- ESANN 2017 - Imitation learning for a continuum trunk robot [Details]
- ESANN 1999 - Maximisation of stability ranges for recurrent neural networks subject to on-line adaptation [Details]
- ESANN 2021 - Constraint optimization for Echo State Networks applied to satellite image forecasting [Details]
- ESANN 2022 - Hyperspectral Wavelength Analysis with U-Net for Larynx Cancer Detection [Details]
- ESANN 2006 - Recognition of handwritten digits using sparse codes generated by local feature extraction methods [Details]
- ESANN 2001 - A local search method for pattern classification [Details]
- ESANN 1998 - Perception and action selection by anticipation of sensorimotor consequences [Details]
- ESANN 2012 - Effects of noise-reduction on neural function approximation [Details]
- ESANN 2006 - Random Forests Feature Selection with K-PLS: Detecting Ischemia from Magnetocardiograms [Details]
- ESANN 2019 - Application of deep neural networks for automatic planning in radiation oncology treatments [Details]
- ESANN 2001 - An alternative approach for the evaluation of the neocognitron [Details]
- ESANN 2009 - Oscillation in a network model of neocortex [Details]