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Otavio Citton
- ESANN 2024 - On-line Learning Dynamics in Layered Neural Networks with Arbitrary Activation Functions [Details]
- ESANN 2025 - The Role of the Learning Rate in Layered Neural Networks with ReLU Activation Function [Details]
- ESANN 2011 - A structure independent algorithm for causal discovery [Details]
- ESANN 1993 - EEG paroxystic activity detected by neural natworks after wavelet transform analysis [Details]
- ESANN 2019 - Analyzing spatial dissimilarities in high-resolution geo-data : a case study of four European cities [Details]
- ESANN 2006 - OnlineDoubleMaxMinOver: a simple approximate time and information efficient online Support Vector Classification method [Details]
- ESANN 2003 - Magnification Control in Winner Relaxing Neural Gas [Details]
- ESANN 2025 - Investigating four deep learning approaches as candidates for unified models in time series forecasting and event prediction: application in anesthesia training [Details]
- ESANN 2020 - Weighted Emprirical Risk Minimization: Transfer Learning based on Importance Sampling [Details]
- ESANN 2021 - Anomalous Cluster Detection in Large Networks with Diffusion-Percolation Testing [Details]
- ESANN 2011 - Hierarchical clustering for graph visualization [Details]
- ESANN 2015 - An Ensemble Learning Technique for Multipartite Ranking [Details]
- ESANN 2018 - On aggregation in ranking median regression [Details]
- ESANN 1993 - Incremental evolution of neural network architectures for adaptive behavior [Details]
- ESANN 2010 - Neural models for the analysis of kidney disease patients [Details]
- ESANN 1993 - EEG paroxystic activity detected by neural natworks after wavelet transform analysis [Details]
- ESANN 1994 - Incremental increased complexity training [Details]
- ESANN 2018 - Cheetah Based Optimization Algorithm: A Novel Swarm Intelligence Paradigm [Details]
- ESANN 2025 - Comparison of convolutional neural networks approaches applied to the diagnosis of Alzheimer’s disease [Details]
- ESANN 2023 - Improving the DRASiW performance by exploiting its own "Mental Images" [Details]
- ESANN 2024 - ''Mental Images'' driven classification [Details]
- ESANN 2025 - Hierarchical decomposition through "Mental Images" evaluation [Details]
- ESANN 1994 - Capabilities of a structured neural network. Learning and comparison with classical techniques [Details]
- ESANN 2016 - On the improvement of static force capacity of humanoid robots based on plants behavior [Details]
- ESANN 2017 - Feature Extraction for On-Road Vehicle Detection Based on Support Vector Machine [Details]
- ESANN 2022 - Wind power forecasting based on bagging extreme learning machine ensemble model [Details]
- ESANN 2015 - The use of RBF neural network to predict building’s corners hygrothermal behavior [Details]
- No papers found
- ESANN 2010 - Image registration by the extended evolutionary self-organizing map [Details]
- ESANN 2025 - Comparison of convolutional neural networks approaches applied to the diagnosis of Alzheimer’s disease [Details]
- ESANN 2014 - Improved Cat Swarm Optimization approach applied to reliability-redundancy problem [Details]
- ESANN 2014 - Swim velocity profile identification through a Dynamic Self-adaptive Multiobjective Harmonic Search and RBF neural networks [Details]
- ESANN 2012 - Cluster homogeneity as a semi-supervised principle for feature selection using mutual information [Details]
- No papers found
- ESANN 2022 - Sliced-Wasserstein normalizing flows: beyond maximum likelihood training [Details]
- ESANN 2020 - Tournament Selection Improves Cartesian Genetic Programming for Atari Games [Details]
- ESANN 2021 - Transformers for Molecular Graph Generation [Details]
- ESANN 2025 - D4: Distance Diffusion for a Truly Equivariant Molecular Design [Details]