A | B | C | D | E | F | G | H | I | J | K | L | M | N | O | P | Q | R | S | T | U | V | W | X | Y | Z
R.A. Kosinski
- ESANN 1998 - On-off intermittency in small neural networks with synaptic noise [Details]
- ESANN 1998 - Recurrent SOM with local linear models in time series prediction [Details]
- ESANN 2016 - From User-independent to Personal Human Activity Recognition Models Using Smartphone Sensors [Details]
- ESANN 2018 - Personalizing human activity recognition models using incremental learning [Details]
- ESANN 2019 - Importance of user inputs while using incremental learning to personalize human activity recognition models [Details]
- ESANN 2024 - Investigating the Gestalt Principle of Closure in Deep Convolutional Neural Networks [Details]
- ESANN 2012 - How regular is neuronal activity? [Details]
- ESANN 2006 - FastISA: A fast fixed-point algorithm for independent subspace analysis [Details]
- ESANN 2023 - Potential analysis of a Quantum RL controller in the context of autonomous driving [Details]
- ESANN 1997 - Two neural network methods for multidimensional scaling [Details]
- ESANN 2000 - A Bayesian approach to combined neural networks forecasting [Details]
- ESANN 2000 - Self-Organizing Maps in data analysis - notes on overfitting and overinterpretation [Details]
- ESANN 2007 - ICA-based High Frequency VaR for Risk Management [Details]
- ESANN 2009 - A wavelet-heterogeneous index of market shocks for assessing the magnitude of financial crises [Details]
- ESANN 2013 - Forecasting Financial Markets with Classified Tactical Signals [Details]
- ESANN 2015 - Towards a Tomographic Index of Systemic Risk Measures [Details]
- ESANN 2003 - Classification of handwritten digits using supervised locally linear embedding algorithm and support vector machine [Details]
- ESANN 2020 - Cross-Encoded Meta Embedding towards Transfer Learning [Details]
- ESANN 2004 - Neural networks for data mining: constrains and open problems [Details]
- ESANN 1996 - An algorithm for training multilayer networks on non-numerical data [Details]
- ESANN 2022 - Neural-network-based estimation of normal distributions in black-box optimization [Details]
- No papers found
- 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 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 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 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]