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Gueorgui Pironkov
- ESANN 2016 - Multi-task learning for speech recognition: an overview [Details]
- ESANN 2025 - Explainable ensemble learning for structural damage prediction under seismic events [Details]
- ESANN 2025 - A Model of Memristive Nanowire Neuron for Recurrent Neural Networks [Details]
- ESANN 2000 - A statistical model selection strategy applied to neural networks [Details]
- ESANN 2002 - A resampling and multiple testing-based procedure for determining the size of a neural network [Details]
- ESANN 2002 - Noise derived information criterion for model selection [Details]
- ESANN 2003 - A new Meta Machine Learning (MML) method based on combining non-significant different neural networks [Details]
- ESANN 2010 - Combining back-propagation and genetic algorithms to train neural networks for start-up time modeling in combined cycle power plants [Details]
- ESANN 2016 - Bag-of-Steps: predicting lower-limb fracture rehabilitation length [Details]
- ESANN 2017 - ELM Preference Learning for Physiological Data [Details]
- ESANN 2006 - Learning Visual Invariance [Details]
- ESANN 2025 - Quantum Tensor Network Learning with DMRG [Details]
- ESANN 2019 - Real-time Convolutional Neural Networks for emotion and gender classification [Details]
- ESANN 2014 - Enhanced NMF initialization using a physical model for pollution source apportionment [Details]
- ESANN 2024 - XAI and Bias of Deep Graph Networks [Details]
- ESANN 2025 - Towards Efficient Molecular Property Optimization with Graph Energy Based Models [Details]
- ESANN 2020 - Biochemical Pathway Robustness Prediction with Graph Neural Networks [Details]
- ESANN 2023 - Graph Representation Learning [Details]
- ESANN 2024 - Automatic Miscalibration Diagnosis: Interpreting Probability Integral Transform (PIT) Histograms [Details]
- ESANN 2024 - Hyperbolic Metabolite-Disease Association Prediction [Details]
- ESANN 2025 - Hyperbolic representation learning in multi-layer tissue networks [Details]
- ESANN 2023 - Quantum Feature Selection with Variance Estimation [Details]
- ESANN 2021 - Combining Attack Success Rate and DetectionRate for effective Universal Adversarial Attacks [Details]
- ESANN 2015 - I see you: on neural networks for indoor geolocation [Details]
- No papers found
- ESANN 2022 - Towards Better Transition Modeling in Recurrent Neural Networks: the Case of Sign Language Tokenization [Details]
- ESANN 2025 - Benchmarking Data Augmentation for Contrastive Learning in Static Sign Language Recognition [Details]
- ESANN 2026 - Movements as Images: CNNs are Good Feature Extractors in Sign Language Recognition [Details]
- ESANN 2012 - How regular is neuronal activity? [Details]
- ESANN 2000 - Distributed clustering and local regression for knowledge discovery in multiple spatial databases [Details]
- ESANN 2023 - Knowledge Distillation for Anomaly Detection [Details]
- ESANN 2002 - Different criteria for active learning in neural networks: a comparative study [Details]
- No papers found
- ESANN 2022 - Bayes Point Rule Set Learning [Details]
- ESANN 2024 - FedHP: Federated Learning with Hyperspherical Prototypical Regularization [Details]
- ESANN 2024 - Machine learning in distributed, federated and non-stationary environments - recent trends [Details]
- ESANN 2024 - Vision Language Models as Policy Learners in Reinforcement Learning Environments [Details]
- ESANN 2026 - When Curvature Counts: Hyperbolic Geometry in Prototype-Based Image Classification [Details]
- ESANN 2021 - Privacy-Preserving Kernel Computation For Vertically Partitioned Data [Details]