A | B | C | D | E | F | G | H | I | J | K | L | M | N | O | P | Q | R | S | T | U | V | W | X | Y | Z
P. Isasi
- ESANN 2001 - Designing nearest neighbour classifiers by the evolution of a population of prototypes [Details]
- ESANN 2019 - Explaining classification systems using sparse dictionaries [Details]
- ESANN 2003 - A model-based reinforcement learning: a computational model and an fMRI study [Details]
- ESANN 1997 - Extraction of crisp logical rules using constrained backpropagation networks [Details]
- ESANN 2003 - Neural coding model using the morphoelectrotonic transform theory [Details]
- No papers found
- ESANN 2015 - Improving the random forest algorithm by randomly varying the size of the bootstrap samples for low dimensional data sets [Details]
- ESANN 2015 - One-vs-all binarization technique in the context of random forest [Details]
- ESANN 2016 - Genetic Algorithm with Novel Crossover, Selection and Health Check for Clustering [Details]
- ESANN 2016 - RBClust: High quality class-specific clustering using rule-based classification [Details]
- ESANN 2017 - Invariant representations of images for better learning [Details]
- ESANN 2001 - Bayesian decision theory on three layered neural networks [Details]
- ESANN 2009 - Sparse support vector machines by kernel discriminant analysis [Details]
- ESANN 1994 - Diluted neural networks with binary couplings: a replica symmetry breaking calculation of the storage capacity [Details]
- ESANN 2006 - Visual nonlinear discriminant analysis for classifier design [Details]
- ESANN 2006 - Non-linear gating network for the large scale classification model CombNET-II [Details]
- ESANN 2024 - Enhanced Deep Reinforcement Learning based Group Recommendation System with Multi-head Attention for Varied Group Sizes [Details]
- ESANN 2021 - A Baseline for Shapley Values in MLPs: from Missingness to Neutrality [Details]