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Jorge Santos
- ESANN 2013 - Random Brains: An ensemble method for feature selection with neural networks [Details]
- ESANN 2010 - Evolution of adaptive center-crossing continuous time recurrent neural networks for biped robot control [Details]
- ESANN 2000 - Using higher order synapses and nodes to improve sensing capabilities of mobile robots [Details]
- ESANN 2016 - Informative data projections: a framework and two examples [Details]
- ESANN 2018 - Efficient approximate representations for computationally expensive features [Details]
- ESANN 2018 - Person Identification and Discovery With Wrist Worn Accelerometer Data [Details]
- ESANN 2025 - Direct versus intermediate multi-task transfer learning for dementia detection from unstructured conversations [Details]
- ESANN 2016 - Using semantic similarity for multi-label zero-shot classification of text documents [Details]
- ESANN 2022 - A Kernel Based Multilinear SVD Approach for Multiple Sclerosis Profiles Classification [Details]
- No papers found
- ESANN 2015 - High-School Dropout Prediction Using Machine Learning: A Danish Large-scale Study [Details]
- ESANN 2020 - Mining Temporal Changes in Strengths and Weaknesses of Cricket Players Using Tensor Decomposition [Details]
- ESANN 2005 - Learning to classify a collection of images and texts [Details]
- ESANN 2021 - AGLVQ - Making Generalized Vector Quantization Algorithms Aware of Context [Details]
- ESANN 2018 - Reliable Patient Classification in Case of Uncertain Class Labels Using a Cross-Entropy Approach [Details]
- ESANN 2019 - DropConnect for Evaluation of Classification Stability in Learning Vector Quantization [Details]
- ESANN 2024 - Domain Knowledge Integration in Machine Learning Systems - An Introduction [Details]
- ESANN 2021 - Domain Adversarial Tangent Learning Towards Interpretable Domain Adaptation [Details]
- ESANN 2021 - The Coming of Age of Interpretable and Explainable Machine Learning Models [Details]
- ESANN 2017 - Prediction of preterm infant mortality with Gaussian process classification [Details]
- ESANN 2020 - Respiratory Pattern Recognition from Low-Resolution Thermal Imaging [Details]
- ESANN 2004 - Recursive networks for processing graphs with labelled edges [Details]
- ESANN 2023 - Energy-efficient detection of a spike sequence [Details]
- ESANN 1993 - An algorithm to learn sequences within the connectionist sequential machine [Details]
- ESANN 2018 - Controlling biological neural networks with deep reinforcement learning [Details]
- ESANN 2003 - A Fuzzy ARTMAP Probability Estimator with Relevance Factor [Details]
- ESANN 2004 - Convergence properties of a fuzzy ARTMAP network [Details]
- ESANN 2016 - Augmenting a convolutional neural network with local histograms - A case study in crop classification from high-resolution UAV imagery [Details]
- ESANN 2024 - CNNGen: A Generator and a Dataset for Energy-Aware Neural Architecture Search [Details]
- ESANN 2005 - A probabilistic framework for mismatch and profile string kernels [Details]
- ESANN 2005 - Using CMU PIE Human Face Database to a Convolutional Neural Network - Neocognitron [Details]
- ESANN 2004 - Three dimensional frames of reference transformations using gain modulated populations of neurons [Details]
- ESANN 2015 - Efficient unsupervised clustering for spatial birds population analysis along the river Loire [Details]
- ESANN 2015 - NLDR methods for high dimensional NIRS dataset : application to vineyard soils characterization [Details]
- ESANN 2017 - Large-scale nonlinear dimensionality reduction for network intrusion detection [Details]
- ESANN 2016 - Initializing nonnegative matrix factorization using the successive projection algorithm for multi-parametric medical image segmentation [Details]