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Manuel Loth
- ESANN 2007 - A unified view of TD algorithms, introducing Full-gradient TD and Equi-gradient descent TD [Details]
- ESANN 2024 - Machine Learning Methods for BCI: challenges, pitfalls and promises [Details]
- ESANN 2022 - Gap filling in air temperature series by matrix completion methods [Details]
- No papers found
- ESANN 2006 - Dynamical reservoir properties as network effects [Details]
- ESANN 2007 - Structured reservoir computing with spatiotemporal chaotic attractors [Details]
- ESANN 2023 - Automated green machine learning for condition-based maintenance [Details]
- ESANN 2001 - A computational model of monkey grating cells for oriented repetitive alternating patterns [Details]
- ESANN 2001 - Graph extraction from color images [Details]
- ESANN 2021 - Supervised learning of convex piecewise linear approximations of optimization problems [Details]
- ESANN 2023 - Improved Interpretation of Feature Relevances: Iterated Relevance Matrix Analysis (IRMA) [Details]
- ESANN 2025 - Mitigating the Bias in Data for Fairness Using an Advanced Generalized Learning Vector Quantization Approach -- FA(IR)$^2$MA-GLVQ [Details]
- ESANN 2024 - Unpaired Image-to-Image Translation to Improve Log End Identification [Details]
- ESANN 2009 - Efficient voting prediction for pairwise multilabel classification [Details]
- ESANN 2016 - Using semantic similarity for multi-label zero-shot classification of text documents [Details]
- ESANN 1994 - High-order Boltzmann machines applied to the Monk's problems [Details]
- ESANN 2002 - Prediction of mental development of preterm newborns at birth time using LS-SVM [Details]
- ESANN 2019 - Application of deep neural networks for automatic planning in radiation oncology treatments [Details]
- ESANN 2021 - Toxicity Detection in Online Comments with Limited Data: A Comparative Analysis [Details]
- ESANN 2019 - lightweight autonomous bayesian optimization of Echo-State Networks [Details]
- ESANN 1995 - Growing adaptive neural networks with graph grammars [Details]
- ESANN 1996 - Evolving neural network learning behaviours with set-based chromosomes [Details]
- ESANN 2017 - Algebraic multigrid support vector machines [Details]
- ESANN 2007 - Automatically searching near-optimal artificial neural networks [Details]
- ESANN 2014 - Iterative ARIMA-multiple support vector regression models for long term time series prediction [Details]
- ESANN 2014 - Probabilistic automata simulation with single layer weightless neural networks [Details]
- ESANN 2014 - Training a classical weightless neural network in a quantum computer [Details]
- ESANN 2014 - Vector space weightless neural networks [Details]
- ESANN 1994 - Incremental increased complexity training [Details]
- ESANN 2012 - Out-of-sample kernel extensions for nonparametric dimensionality reduction [Details]
- ESANN 2012 - Visualizing the quality of dimensionality reduction [Details]
- No papers found
- ESANN 1994 - Input Parameters' estimation via neural networks [Details]
- ESANN 2022 - Adaptive Gabor Filters for Interpretable Color Texture Classification [Details]
- No papers found
- ESANN 2025 - Solar Panel Segmentation on Aerial Images using Color and Elevation Information [Details]
- ESANN 2021 - Unsupervised Word Representations Learning with Bilinear Convolutional Network on Characters [Details]
- ESANN 2000 - Sparse least squares Support Vector Machine classifiers [Details]
- ESANN 2002 - Prediction of mental development of preterm newborns at birth time using LS-SVM [Details]
- ESANN 2002 - The use of LS-SVM in the classification of brain tumors based on Magnetic Resonance Spectroscopy signals [Details]
- ESANN 2020 - Anomaly Detection Approach in Cyber Security for User and Entity Behavior Analytics System [Details]