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Lucas Lamata
- ESANN 2020 - Quantum Machine Learning [Details]
- ESANN 2023 - Quantum Artificial Intelligence: A tutorial [Details]
- ESANN 2005 - Computational models of intracytoplasmic sperm injection prognosis [Details]
- No papers found
- ESANN 2022 - Feature Compression Using Dynamic Switches in Multi-split CNNs [Details]
- No papers found
- ESANN 2021 - Impact of data subsamplings in Fast Multi-Scale Neighbor Embedding. [Details]
- ESANN 2021 - Stochastic quartet approach for fast multidimensional scaling [Details]
- ESANN 2023 - Nesterov momentum and gradient normalization to improve t-SNE convergence and neighborhood preservation, without early exaggeration [Details]
- ESANN 2023 - On the number of latent representations in deep neural networks for tabular data [Details]
- ESANN 2024 - Estimated neighbour sets and smoothed sampled global interactions are sufficient for a fast approximate tSNE. [Details]
- ESANN 2024 - Forget early exaggeration in t-SNE: early hierarchization preserves global structure [Details]
- ESANN 2025 - Can MDS rival with t-SNE by using the symmetric Kullback-Leibler divergence\\ across neighborhoods as a pseudo-distance? [Details]
- ESANN 1996 - On the critical points of the 1-dimensional competitive learning vector quantization algorithm [Details]
- ESANN 2006 - A new hyperbolic visualization method for displaying the results of a neural gas model: application to Webometrics [Details]
- ESANN 2009 - SOM based methods in early fault detection of nuclear industry [Details]
- ESANN 2000 - Analytical comparison of the Temporal Kohonen Map and the Recurrent Self Organizing Map [Details]
- ESANN 2000 - Self-Organizing Maps in data analysis - notes on overfitting and overinterpretation [Details]
- ESANN 2010 - Identifying informative features for ERP speller systems based on RSVP paradigm [Details]
- ESANN 2010 - Random search enhancement of error minimized extreme learning machine [Details]
- ESANN 2000 - Automatic detection of clustered microcalcifications in digital mammograms using an SVM classifier [Details]
- ESANN 2025 - Growth strategies for arbitrary DAG neural architectures [Details]
- ESANN 2020 - 3D U-Net for Segmentation of Plant Root MRI Images in Super-Resolution [Details]
- ESANN 2003 - Post-failure analysis of an adaptive predictor-corrector neural controller on a flight simulator [Details]
- ESANN 2025 - Generalized Stochastic Pooling [Details]
- No papers found
- ESANN 2022 - Revisiting Edge Pooling in Graph Neural Networks [Details]
- ESANN 2023 - A Tropical View of Graph Neural Networks [Details]
- ESANN 2024 - Generalizing Convolution to Point Clouds [Details]
- ESANN 2009 - Monotonic Recurrent Bounded Derivative Neural Network [Details]
- ESANN 2004 - Lattice ICA for the separation of speech signals [Details]
- ESANN 2004 - Linearization identification and an application to BSS using a SOM [Details]
- ESANN 2002 - Geometric overcomplete ICA [Details]
- ESANN 2002 - How to generalize geometric ICA to higher dimensions [Details]
- ESANN 2012 - Modified Conn-Index for the evaluation of fuzzy clusterings [Details]
- ESANN 2013 - Non-Euclidean independent component analysis and Oja's learning [Details]
- ESANN 2014 - Applications of lp-Norms and their Smooth Approximations for Gradient Based Learning Vector Quantization [Details]
- ESANN 2015 - Learning matrix quantization and variants of relevance learning [Details]
- ESANN 2021 - Sample efficient localization and stage prediction with autoencoders [Details]
- ESANN 2025 - Enhancing Machine Learning with Quantum Methods [Details]
- ESANN 2025 - Expressivity vs. Generalization in Quantum Kernel Methods [Details]
- ESANN 2024 - Robustness and Regularization in Hierarchical Re-Basin [Details]
- ESANN 2001 - Analysis of dynamic perfusion MRI data by neural networks [Details]