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Stefan Faußer
- ESANN 2014 - Selective Neural Network Ensembles in Reinforcement Learning [Details]
- ESANN 2009 - Support vectors machines regression for estimation of mars surface physical properties [Details]
- ESANN 2016 - anomaly detection on spectrograms using data-driven and fixed dictionary representations [Details]
- ESANN 2024 - Lightweight Cross-Modal Representation Learning [Details]
- ESANN 2017 - Collaborative filtering with neural networks [Details]
- ESANN 2018 - Neural Networks for Implicit Feedback Datasets [Details]
- ESANN 2020 - Approximating Archetypal Analysis Using Quantum Annealing [Details]
- ESANN 2020 - Improving Light-weight Convolutional Neural Networks for Face Recognition Targeting Resource Constrained Platforms [Details]
- ESANN 2005 - Perceptron Learning with Discrete Weights [Details]
- ESANN 2017 - Extracting urban water usage habits from smart meter data: a functional clustering approach [Details]
- ESANN 2000 - Establishing retinotopy by lateral-inhibition type homogeneous neural fields [Details]
- ESANN 2014 - Dimensionality reduction in decentralized networks by Gossip aggregation of principal components analyzers [Details]
- ESANN 2015 - Asynchronous decentralized convex optimization through short-term gradient averaging [Details]
- ESANN 2019 - Noise helps optimization escape from saddle points in the neural dynamics [Details]
- ESANN 1998 - Output jitter diverges to infinity, converges to zero or remains constant [Details]
- ESANN 1998 - What is observable in a class of neurodynamics? [Details]
- ESANN 2017 - Moving Least Squares Support Vector Machines for weather temperature prediction [Details]
- ESANN 2006 - Diversity creation in local search for the evolution of neural network ensembles [Details]
- ESANN 2020 - Binary and Multi-label Defect Classification of Printed Circuit Board based on Transfer Learning [Details]
- ESANN 2020 - CNN Encoder to Reduce the Dimensionality of Data Image for Motion Planning [Details]
- ESANN 2023 - Evaluation of Contrastive Learning for Electronic Component Detection [Details]
- ESANN 2021 - Decay Momentum for Improving Federated Learning [Details]
- No papers found
- ESANN 2019 - Human feedback in continuous actor-critic reinforcement learning [Details]
- ESANN 2016 - Stacked denoising autoencoders for the automatic recognition of microglial cells’ state [Details]
- ESANN 2011 - A Similarity Function with Local Feature Weighting for Structured Data [Details]
- ESANN 2000 - Competitive neural networks for robust computation of the optical flow [Details]
- ESANN 2001 - Designing nearest neighbour classifiers by the evolution of a population of prototypes [Details]
- ESANN 2002 - Evaluating the impact of multiplicative input perturbations on radial basis function networks [Details]
- ESANN 2020 - Visualization of the Feature Space of Neural Networks [Details]
- ESANN 2022 - Improving Laplacian Pyramids Regression with Localization in Frequency and Time [Details]
- ESANN 1998 - On the error function of interval arithmetic backpropagation [Details]
- ESANN 1998 - One or two hidden layers perceptrons [Details]
- ESANN 2015 - On the use of machine learning techniques for the analysis of spontaneous reactions in automated hearing assessment [Details]
- ESANN 2015 - Diffusion Maps parameters selection based on neighbourhood preservation [Details]
- ESANN 2016 - Auto-adaptive Laplacian Pyramids [Details]
- ESANN 1999 - Face identification using support vector machines [Details]
- ESANN 2000 - Learning of perceptual states in the design of an adaptive wall-following behavior [Details]