A practical tutorial on autoencoders for nonlinear feature fusion:
Taxonomy, models, software and guidelines

A practical tutorial on autoencoders for nonlinear feature fusion: Taxonomy, models, software and guidelines

4 January 2018

Francisco Herrera

Papers citing "A practical tutorial on autoencoders for nonlinear feature fusion: Taxonomy, models, software and guidelines"

14 / 14 papers shown

Title
Enhanced Multimodal Hate Video Detection via Channel-wise and Modality-wise Fusion Yinghui Zhang Tailin Chen Yuchen Zhang Zeyu Fu 2 0 0 17 May 2025
Towards Active Participant Centric Vertical Federated Learning: Some Representations May Be All You Need Jon Irureta Jon Imaz Aizea Lojo Javier Fernandez-Marques Marco González Iñigo Perona FedML 93 1 0 20 Feb 2025
Reducing Data Complexity using Autoencoders with Class-informed Loss Functions D. Charte F. Charte Francisco Herrera 13 14 0 11 Nov 2021
A machine learning approach for fighting the curse of dimensionality in global optimization J. Schumann Alejandro M. Aragón 23 2 0 28 Oct 2021
Hybrid analysis and modeling, eclecticism, and multifidelity computing toward digital twin revolution Omer San Adil Rasheed T. Kvamsdal 48 50 0 26 Mar 2021
Deconvolution-and-convolution Networks Yimin Yang Wandong Zhang Jonathan Wu Will Zhao Ao Chen 18 8 0 22 Mar 2021
Deep Learning for Medical Anomaly Detection -- A Survey Tharindu Fernando Harshala Gammulle Simon Denman Sridha Sridharan Clinton Fookes OOD 20 271 0 04 Dec 2020
Generative Capacity of Probabilistic Protein Sequence Models Francisco McGee Quentin Novinger R. Levy Vincenzo Carnevale A. Haldane 35 34 0 03 Dec 2020
Improving Self-Organizing Maps with Unsupervised Feature Extraction Lyes Khacef Laurent Rodriguez Benoit Miramond SSL DRL 24 15 0 04 Sep 2020
An analysis on the use of autoencoders for representation learning: fundamentals, learning task case studies, explainability and challenges D. Charte F. Charte M. J. D. Jesus Francisco Herrera SSL OOD 27 51 0 21 May 2020
Explainable Artificial Intelligence (XAI): Concepts, Taxonomies, Opportunities and Challenges toward Responsible AI Alejandro Barredo Arrieta Natalia Díaz Rodríguez Javier Del Ser Adrien Bennetot Siham Tabik ... S. Gil-Lopez Daniel Molina Richard Benjamins Raja Chatila Francisco Herrera XAI 37 6,111 0 22 Oct 2019
Blood lactate concentration prediction in critical care patients: handling missing values B. Mamandipoor Matthias Neumayer M. Moz Jens Grossklags 31 5 0 03 Oct 2019
Multimodal Deep Network Embedding with Integrated Structure and Attribute Information Conghui Zheng Li Pan Peng Wu 15 22 0 28 Mar 2019
Language as a Latent Variable: Discrete Generative Models for Sentence Compression Yishu Miao Phil Blunsom 201 223 0 23 Sep 2016