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Przemysław Spurek
- ESANN 2020 - Fast and Stable Interval Bounds Propagation for Training Verifiably Robust Models [Details]
- ESANN 2012 - Highly efficient localisation utilising weightless neural systems [Details]
- ESANN 2019 - Multi-target feature selection through output space clustering [Details]
- ESANN 2012 - Discriminant functional gene groups identification with machine learning and prior knowledge [Details]
- ESANN 2005 - Generalized Relevance LVQ with Correlation Measures for Biological Data [Details]
- ESANN 2006 - Sanger-driven MDSLocalize - a comparative study for genomic data [Details]
- ESANN 2018 - Evolutionary RL for Container Loading [Details]
- ESANN 2001 - Bayesian decision theory on three layered neural networks [Details]
- ESANN 2020 - An Empirical Study of Iterative Knowledge Distillation for Neural Network Compression [Details]
- ESANN 2023 - Exploring Strategies for Modeling Sign Language Phonology [Details]
- ESANN 1997 - Connectionist rule processing using recursive auto-associative memory [Details]
- ESANN 2025 - The Regulatory Character of Boredom in AI - Towards a Self-Regulating System based on Spiking Neural Networks [Details]
- ESANN 2011 - Thresholds tuning of a neuro-symbolic net controlling a behavior-based robotic system [Details]
- ESANN 2014 - Can you follow that guy? [Details]
- ESANN 1993 - Embedding knowledge ibto stochastic learning automata for fast solution ofbinary constraint satisfaction problems [Details]
- ESANN 2013 - Optimization by Variational Bounding [Details]
- ESANN 2026 - Mixed-Density Diffuser: Efficient Planning with Non-Uniform Temporal Resolution [Details]
- ESANN 2018 - Graph based neural networks for automatic classification of multiple sclerosis clinical courses [Details]
- ESANN 2021 - Deep Graph Convolutional Networks for Wind Speed Prediction [Details]
- 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]