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Istvan Megyeri
- ESANN 2019 - Adversarial robustness of linear models: regularization and dimensionality [Details]
- ESANN 2020 - Attacking Model Sets with Adversarial Examples [Details]
- ESANN 2022 - PCA improves the adversarial robustness of neural networks [Details]
- ESANN 2024 - Adversarial Training without Hard Labels [Details]
- ESANN 2020 - Learning from partially labeled data [Details]
- ESANN 2020 - Modelling human sound localization with deep neural networks. [Details]
- ESANN 2021 - Deep Graph Convolutional Networks for Wind Speed Prediction [Details]
- ESANN 2021 - Enhancing brain decoding using attention augmented deep neural networks [Details]
- ESANN 2011 - Symbolic computing of LS-SVM based models [Details]
- ESANN 2017 - Scalable Hybrid Deep Neural Kernel Networks [Details]
- ESANN 2018 - Shallow and Deep Models for Domain Adaptation problems [Details]
- ESANN 2024 - Dual Stream Graph Transformer Fusion Networks for Enhanced Brain Decoding [Details]
- ESANN 2020 - Entity-Pair Embeddings for Improving Relation Extraction in the Biomedical Domain [Details]
- ESANN 2020 - Domain Invariant Representations with Deep Spectral Alignment [Details]
- ESANN 2013 - Perceptual grouping through competition in coupled oscillator networks [Details]
- ESANN 2009 - The Use of ANN for Turbo Engine Applications [Details]
- ESANN 2012 - Towards biologically realistic multi-compartment neuron model emulation in analog VLSI [Details]
- ESANN 1997 - Size invariance by dynamic scaling in neural vision systems [Details]
- ESANN 1998 - Polyhedral mixture of linear experts for many-to-one mapping inversion [Details]
- ESANN 2017 - The Top 10 Topics in Machine Learning Revisited: A Quantitative Meta-Study [Details]
- ESANN 2023 - Automated green machine learning for condition-based maintenance [Details]
- ESANN 2018 - Combining latent tree modeling with a random forest-based approach, for genetic association studies [Details]
- ESANN 2025 - Stability of State and Costate Dynamics in Continuous Time Recurrent Neural Networks [Details]
- ESANN 2016 - Learning with hard constraints as a limit case of learning with soft constraints [Details]
- ESANN 2012 - An analysis of Gaussian-binary restricted Boltzmann machines for natural images [Details]
- ESANN 2020 - Anomaly Detection Approach in Cyber Security for User and Entity Behavior Analytics System [Details]
- ESANN 2015 - Real-time activity recognition via deep learning of motion features [Details]
- ESANN 2016 - Deep Learning Vector Quantization [Details]
- ESANN 2002 - Neural dimensionality reduction for document processing [Details]
- ESANN 2015 - A Robust Neural Robot Navigation Using a Combination of Deliberative and Reactive Control Architectures [Details]
- ESANN 2022 - Pruning Weightless Neural Networks [Details]
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- ESANN 2024 - Interactive Machine Learning-Powered Dashboard for Energy Analytics in Residential Buildings [Details]
- ESANN 2024 - Learning Kernel Parameters for Support Vector Classification Using Similarity Embeddings [Details]
- ESANN 2005 - Domain expert approximation through oracle learning [Details]
- ESANN 2019 - Design of Power-Efficient FPGA Convolutional Cores with Approximate Log Multiplier [Details]
- ESANN 2014 - A new approach for multiple instance learning based on a homogeneity bag operator [Details]
- ESANN 2019 - Transfer Learning for transferring machine-learning based models among hyperspectral sensors [Details]