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Ryszard Kozera
- ESANN 2023 - Performance Evaluation of Activation Functions in Extreme Learning Machine [Details]
- ESANN 2009 - Application of SVM for cell recognition in BCC skin pathology [Details]
- ESANN 2015 - Comparison of Numerical Models and Statistical Learning for Wind Speed Prediction [Details]
- ESANN 2015 - Supervised Manifold Learning with Incremental Stochastic Embeddings [Details]
- ESANN 2018 - Properties of adv−1 – Adversarials of Adversarials [Details]
- ESANN 2020 - Adversarials-1 in Speech Recognition: Detection and Defence [Details]
- ESANN 2020 - Learning Step Size Adaptation in Evolution Strategies [Details]
- ESANN 2020 - Tournament Selection Improves Cartesian Genetic Programming for Atari Games [Details]
- ESANN 2021 - Evolutionary Deep Multi-Task Learning [Details]
- ESANN 2021 - Transformers for Molecular Graph Generation [Details]
- ESANN 2022 - A Fast and Simple Evolution Strategy with Covariance Matrix Estimation [Details]
- ESANN 2023 - Enhancing Evolution Strategies with Evolution Path Bias [Details]
- ESANN 2023 - Wind Power Prediction with ETSformer [Details]
- ESANN 2024 - LLaMA Tunes CMA-ES [Details]
- ESANN 2024 - Towards Explainable Evolution Strategies with Large Language Models [Details]
- ESANN 2025 - Unlocking Structured Thinking in Language Models with Cognitive Prompting [Details]
- ESANN 2005 - Stochastic analysis of the Abe formulation of Hopfield networks [Details]
- ESANN 2000 - Application of MLP and stochastic simulations for electricity load forecasting in Russia [Details]
- ESANN 2025 - Continual Unlearning through Memory Suppression [Details]
- ESANN 1998 - On-off intermittency in small neural networks with synaptic noise [Details]
- ESANN 1993 - A lateral inhibition neural network that emulates a winner-takes-all algorithm [Details]
- ESANN 2025 - The Reinforced Liquid State Machine: A New Training Architecture for Spiking Neural Networks [Details]
- ESANN 1999 - Dimensionality reduction by local processing [Details]
- ESANN 2019 - Deep Weisfeiler-Lehman assignment kernels via multiple kernel learning [Details]
- ESANN 2007 - Spiral Recurrent Neural Network for Online Learning [Details]
- ESANN 2007 - Feature clustering and mutual information for the selection of variables in spectral data [Details]
- ESANN 2009 - Supervised variable clustering for classification of NIR spectra [Details]
- ESANN 2012 - One-class classifier based on extreme value statistics [Details]
- ESANN 2005 - Initialisation improvement in engineering feedforward ANN models [Details]
- ESANN 2015 - Learning missing edges via kernels in partially-known graphs [Details]
- ESANN 2011 - Using very deep autoencoders for content-based image retrieval [Details]
- ESANN 2019 - Deep Autoencoder Feature Extraction for Fault Detection of Elevator Systems [Details]
- ESANN 2010 - Financial time series forecasting with machine learning techniques: a survey [Details]
- ESANN 2002 - Fast nonlinear dimensionality reduction with topology preserving networks [Details]
- ESANN 2003 - Self-Organization by Optimizing Free-Energy [Details]
- ESANN 1997 - Object recognition with banana wavelets [Details]
- ESANN 2014 - Segmented shape-symbolic time series representation [Details]
- ESANN 2018 - interpretation of convolutional neural networks for speech regression from electrocorticography [Details]
- ESANN 2022 - Diverse Memory for Experience Replay in Continual Learning [Details]
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- ESANN 2005 - Computational models of intracytoplasmic sperm injection prognosis [Details]
- ESANN 2022 - Data stream generation through real concept's interpolation [Details]