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Miriam Seoane Santos
- ESANN 2024 - Reconstruction of Mammography Projections using Image-to-Image Translation Techniques [Details]
- ESANN 2021 - Inductive learning for product assortment graph completion [Details]
- ESANN 1999 - Recurrent V1-V2 interaction for early visual information processing [Details]
- ESANN 2007 - Agglomerative Independent Variable Group Analysis [Details]
- ESANN 2024 - Insight-SNE: Understanding t-SNE Embeddings through Interactive Explanation [Details]
- ESANN 2025 - D4: Distance Diffusion for a Truly Equivariant Molecular Design [Details]
- ESANN 2020 - Adversarial domain adaptation without gradient reversal layer [Details]
- ESANN 1994 - Storage capacity of the reversed wedge perceptron with binary connections [Details]
- ESANN 2010 - Neural models for the analysis of kidney disease patients [Details]
- ESANN 2021 - End-to-end Keyword Spotting using Xception-1d [Details]
- ESANN 2012 - Regularized Committee of Extreme Learning Machine for Regression Problems [Details]
- ESANN 2011 - Statistical dependence measure for feature selection in microarray datasets [Details]
- ESANN 2020 - Verifying Deep Learning-based Decisions for Facial Expression Recognition [Details]
- ESANN 2023 - Exploring Strategies for Modeling Sign Language Phonology [Details]
- ESANN 2018 - An extension of nonstationary fuzzy sets to heteroskedastic fuzzy time series [Details]
- ESANN 2014 - Finding Originally Mislabels with MD-ELM [Details]
- ESANN 1997 - Performance of weighted radial basis function classifiers [Details]
- ESANN 1998 - A comparison between weighted radial basis functions and wavelet networks [Details]
- ESANN 1998 - A neural approach to a sensor fusion problem [Details]
- ESANN 1999 - Neuro-wavelet parametric characterization of hardness profiles [Details]
- ESANN 1999 - Orthogonal least square algorithm applied to the initialization of multi-layer perceptrons [Details]
- ESANN 2000 - Training activation function in parametric classification [Details]
- ESANN 2012 - Matrix relevance LVQ in steroid metabolomics based classification of adrenal tumors [Details]
- ESANN 2016 - Unsupervised Cross-Subject BCI Learning and Classification using Riemannian Geometry [Details]
- ESANN 2012 - Introducing diversity among the models of multi-label classification ensemble [Details]
- ESANN 2020 - MultiMBNN: Matched and Balanced Causal Inference with Neural Networks [Details]
- ESANN 2021 - Data-Efficient Training of High-Resolution Images in Medical Domain [Details]
- ESANN 2021 - TSR-DSAW: Table Structure Recognition via Deep Spatial Association of Words [Details]
- ESANN 2006 - Using distributed genetic programming to evolve classifiers for a brain computer interface [Details]
- ESANN 2007 - Electroencephalogram signal classification for brain computer interfaces using wavelets and support vector machines [Details]
- No papers found
- ESANN 1995 - Neural networks for invariant pattern recognition [Details]
- ESANN 1999 - A multiplicative updating algorithm for training support vector machine [Details]
- ESANN 2006 - Synthesis of maximum margin and multiview learning using unlabeled data [Details]
- ESANN 2008 - An FPGA-based model suitable for evolution and development of spiking neural networks [Details]
- ESANN 2009 - A variational radial basis function approximation for diffusion processes [Details]
- ESANN 1993 - Traking global minima using a range expansion algorithm [Details]
- ESANN 2024 - Invariant Representation Learning for Generalizable Imitation [Details]