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T.C. Hsia
- ESANN 1994 - Stability bounds of momentum coefficient and learning rate in backpropagation algorithm [Details]
- ESANN 2003 - Online Identification and Control of a PV-Supplied DC Motor Using Universal Learning Networks [Details]
- ESANN 2021 - A Multi-ELM Model for Incomplete Data [Details]
- ESANN 2024 - A Two-Stage Approach for Implicit Bias Detection in Generative Language Models [Details]
- ESANN 2020 - A Real-time PCB Defect Detector Based on Supervised and Semi-supervised Learning [Details]
- ESANN 2020 - Learning from partially labeled data [Details]
- ESANN 2003 - On the equality of kernel AdaTron and sequential minimal optimization in classification and regression tasks and alike algorithms for kernel machines [Details]
- ESANN 2015 - Rank-constrained optimization: a Riemannian manifold approach [Details]
- ESANN 2004 - Bias Term b in SVMs Again [Details]
- ESANN 2003 - Searching optimal feature subset using mutual information [Details]
- ESANN 2023 - Simultaneous failures classification in a predictive maintenance case [Details]
- ESANN 2017 - Supporting generative models of spatial behavior by user interaction [Details]
- ESANN 2016 - A new penalisation term for image retrieval in clique neural networks [Details]
- ESANN 2021 - Estimating uncertainty in radiation oncology dose prediction with dropout and bootstrap in U-Net models [Details]
- ESANN 2023 - Single-pass uncertainty estimation with layer ensembling for regression: application to proton therapy dose prediction for head and neck cancer [Details]
- ESANN 2019 - Towards a device-free passive presence detection system with Bluetooth Low Energy beacons [Details]
- ESANN 2017 - Supporting generative models of spatial behavior by user interaction [Details]
- ESANN 2012 - Matrix relevance LVQ in steroid metabolomics based classification of adrenal tumors [Details]
- ESANN 2009 - Simultaneous Clustering and Segmentation for Functional Data [Details]
- ESANN 2001 - Investigating the influence of the neighborhood attraction factor to evolution strategies with neighborhood attraction [Details]
- ESANN 2019 - Deep Autoencoder Feature Extraction for Fault Detection of Elevator Systems [Details]
- ESANN 2018 - Latent representations of transient candidates from an astronomical image difference pipeline using Variational Autoencoders [Details]
- ESANN 2014 - The Choquet kernel for monotone data [Details]
- ESANN 2023 - On Feature Removal for Explainability in Dynamic Environments [Details]
- ESANN 2003 - Evolved Neurodynamics for Robot Control [Details]
- ESANN 1998 - A multistage on-line learning rule for multilayer neural network [Details]
- ESANN 2009 - Augmenting Information from Brain-Computer Interfaces through Bayesian Plan Recognition [Details]
- ESANN 1993 - Incremental evolution of neural network architectures for adaptive behavior [Details]
- ESANN 1993 - Once more on the information capacity of the hopefield network [Details]
- ESANN 1999 - Nonlinear factorization in sparsely encoded Hopfield-like neural networks [Details]
- ESANN 2002 - Stochastic resonance and finite resolution in a leaky integrate-and-fire neuron [Details]
- ESANN 2003 - Online Identification and Control of a PV-Supplied DC Motor Using Universal Learning Networks [Details]
- ESANN 2020 - Language Grounded Task-Adaptation in Reinforcement Learning [Details]
- ESANN 2024 - Online Adaptation of Compressed Models by Pre-Training and Task-Relevant Pruning [Details]
- ESANN 1993 - Mixture states in Potts neural networks [Details]