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H. Daniels
- ESANN 2002 - Prediction of mental development of preterm newborns at birth time using LS-SVM [Details]
- ESANN 2023 - Segmentation and Analysis of Lumbar Spine MRI Scans for Vertebral Body Measurements [Details]
- ESANN 2025 - Coherence-based Sample Selection for Class-incremental Learning [Details]
- ESANN 2012 - A GPU-accelerated algorithm for self-organizing maps in a distributed environment [Details]
- ESANN 2021 - Gradient representations in ReLU networks as similarity functions [Details]
- ESANN 2021 - IF: Iterative Fractional Optimization [Details]
- ESANN 2021 - Toxicity Detection in Online Comments with Limited Data: A Comparative Analysis [Details]
- ESANN 2021 - Quantifying Resemblance of Synthetic Medical Time-Series [Details]
- ESANN 2020 - An Empirical Study of Iterative Knowledge Distillation for Neural Network Compression [Details]
- ESANN 2019 - Privacy Preserving Synthetic Health Data [Details]
- ESANN 2018 - Estimation of the Human Concentration using Echo State Networks [Details]
- ESANN 2008 - A novel autoassociative memory on the complex hypercubic lattice [Details]
- ESANN 2021 - SmoothLRP: Smoothing LRP by Averaging over Stochastic Input Variations [Details]
- ESANN 2023 - On the Limitations of Model Stealing with Uncertainty Quantification Models [Details]
- ESANN 2011 - Single-trial P300 detection with Kalman filtering and SVMs [Details]
- ESANN 2013 - Fast online adaptivity with policy gradient: example of the BCI ``P300''-speller [Details]
- ESANN 1999 - Mean-field equations reveal synchronization in a 2-populations neural network model [Details]
- ESANN 2008 - Emergence of stimulus-specific synchronous response through STDP in recurrent neural networks [Details]
- ESANN 2014 - Evidence build-up facilitates on-line adaptivity in dynamic environments: example of the BCI P300-speller [Details]
- ESANN 2014 - Toward STDP-based population action in large networks of spiking neurons [Details]
- ESANN 2015 - Online multiclass learning with "bandit" feedback under a Passive-Aggressive approach [Details]
- ESANN 2020 - Predicting low gamma- from lower frequency band activity in electrocorticography [Details]
- ESANN 2004 - Learning from Reward as an emergent property of Physics-like interactions between neurons in an artificial neural network [Details]
- ESANN 1997 - Connectionist rule processing using recursive auto-associative memory [Details]
- ESANN 2002 - Connectionist models investigating representations formed in the sequential generation of characters [Details]
- ESANN 2002 - Why will rat's go where rats will not? [Details]
- ESANN 2004 - Non-Euclidean norms and data normalisation [Details]
- ESANN 2005 - TreeGNG - hierarchical topological clustering [Details]
- ESANN 2006 - Gaussian and exponential architectures in small-world associative memories [Details]
- ESANN 2006 - Topological Correlation [Details]
- ESANN 2006 - Using sampling methods to improve binding site predictions [Details]
- ESANN 2007 - Sparsely-connected associative memory models with displaced connectivity [Details]
- ESANN 2008 - Using graph-theoretic measures to predict the performance of associative memory models [Details]
- ESANN 2009 - Connection strategy and performance in sparsely connected 2D associative memory models with non-random images [Details]
- ESANN 2010 - The Application of Gaussian Processes in the Prediction of Percutaneous Absorption for Mammalian and Synthetic Membranes [Details]
- ESANN 2017 - Investigating optical transmission error correction using wavelet transforms [Details]
- ESANN 2004 - Non-Euclidean norms and data normalisation [Details]
- ESANN 2014 - Neural network based 2D/3D fusion for robotic object recognition [Details]
- ESANN 2009 - Sparse differential connectivity graph of scalp EEG for epileptic patients [Details]
- ESANN 2025 - Towards Learning Vector Quantization in the Setting of Homomorphic Encryption [Details]
- ESANN 2005 - A Class of Kernels For Sets of Vectors [Details]
- ESANN 2007 - A unified view of TD algorithms, introducing Full-gradient TD and Equi-gradient descent TD [Details]
- ESANN 2007 - One-class SVM regularization path and comparison with alpha seeding [Details]
- ESANN 2010 - Extending reservoir computing with random static projections: a hybrid between extreme learning and RC [Details]
- ESANN 2014 - A Random Forest proximity matrix as a new measure for gene annotation [Details]
- ESANN 2023 - Efficient Knowledge Aggregation Methods for Weightless Neural Networks [Details]
- ESANN 2012 - texture classification based on symbolic data analysis [Details]