Javier Poyatos

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All published works

Action	Title	Year	Authors
+ PDF Chat	Evolutionary Computation for the Design and Enrichment of General-Purpose Artificial Intelligence Systems: Survey and Prospects	2024	Javier Poyatos Javier Del Ser Salvador García Hisao Ishibuchi Daniel Molina Isaac Triguero Bing Xue Xin Yao Francisco Herrera
+ PDF Chat	General Purpose Artificial Intelligence Systems (GPAIS): Properties, definition, taxonomy, societal implications and responsible governance	2023	Isaac Triguero Daniel Molina Javier Poyatos Javier Del Ser Francisco Herrera
+ PDF Chat	Multiobjective evolutionary pruning of Deep Neural Networks with Transfer Learning for improving their performance and robustness	2023	Javier Poyatos Daniel Molina Aitor Martínez-Seras Javier Del Ser Francisco Herrera
+	Multiobjective Evolutionary Pruning of Deep Neural Networks with Transfer Learning for improving their Performance and Robustness	2023	Javier Poyatos Daniel Molina Aitor Martínez Javier Del Ser Francisco Herrera
+	General Purpose Artificial Intelligence Systems (GPAIS): Properties, Definition, Taxonomy, Societal Implications and Responsible Governance	2023	Isaac Triguero Daniel Molina Javier Poyatos Javier Del Ser Francisco Herrera
+ PDF Chat	EvoPruneDeepTL: An evolutionary pruning model for transfer learning based deep neural networks	2022	Javier Poyatos Daniel Molina Aritz D. Martinez Javier Del Ser Francisco Herrera
+	EvoPruneDeepTL: An Evolutionary Pruning Model for Transfer Learning based Deep Neural Networks	2022	Javier Poyatos Daniel Molina Aritz D. Martinez Javier Del Ser Francisco Herrera
+	A prescription of methodological guidelines for comparing bio-inspired optimization algorithms	2021	Antonio LaTorre Daniel Molina Eneko Osaba Javier Poyatos Javier Del Ser Francisco Herrera
+ PDF Chat	Lights and shadows in Evolutionary Deep Learning: Taxonomy, critical methodological analysis, cases of study, learned lessons, recommendations and challenges	2020	Aritz D. Martinez Javier Del Ser Esther Villar-Rodríguez Eneko Osaba Javier Poyatos Siham Tabik Daniel Molina Francisco Herrera
+	Lights and Shadows in Evolutionary Deep Learning: Taxonomy, Critical Methodological Analysis, Cases of Study, Learned Lessons, Recommendations and Challenges	2020	Aritz D. Martinez Javier Del Ser Esther Villar-Rodríguez Eneko Osaba Javier Poyatos Siham Tabik Daniel Molina Francisco Herrera
+ PDF Chat	Comprehensive Taxonomies of Nature- and Bio-inspired Optimization: Inspiration Versus Algorithmic Behavior, Critical Analysis Recommendations	2020	Daniel Molina Javier Poyatos Javier Del Ser Salvador García Amir Hussain Francisco Herrera
+	Taxonomy of bio-inspired algorithms	2020	Daniel Molina Javier Poyatos Javier Del Ser Salvador García Amir Hussain Francisco Herrera
+	Lights and Shadows in Evolutionary Deep Learning: Taxonomy, Critical Methodological Analysis, Cases of Study, Learned Lessons, Recommendations and Challenges	2020	Aritz D. Martinez Javier Del Ser Esther Villar-Rodríguez Eneko Osaba Javier Poyatos Siham Tabik Daniel Molina Francisco Herrera

Common Coauthors

Coauthor	Papers Together
Francisco Herrera	13
Javier Del Ser	13
Daniel Molina	13
Aritz D. Martinez	5
Eneko Osaba	4
Esther Villar-Rodríguez	3
Siham Tabik	3
Isaac Triguero	3
Salvador García	3
Amir Hussain	2
Xin Yao	1
Bing Xue	1
Antonio LaTorre	1
Aitor Martínez-Seras	1
Hisao Ishibuchi	1
Aitor Martínez	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+ PDF Chat	DENSER: deep evolutionary network structured representation	2018	Filipe Assunção Nuno Lourenço Penousal Machado Bernardete Ribeiro	7
+ PDF Chat	Lights and shadows in Evolutionary Deep Learning: Taxonomy, critical methodological analysis, cases of study, learned lessons, recommendations and challenges	2020	Aritz D. Martinez Javier Del Ser Esther Villar-Rodríguez Eneko Osaba Javier Poyatos Siham Tabik Daniel Molina Francisco Herrera	6
+	Neural Architecture Search: A Survey	2018	Thomas Elsken Jan Hendrik Metzen Frank Hutter	6
+ PDF Chat	Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI	2019	Alejandro Barredo Arrieta Natalia Díaz-Rodríguez Javier Del Ser Adrien Bennetot Siham Tabik Alberto Barbado Salvador García Sergio Gil-López Daniel Molina Richard Benjamins	5
+	AutoML-Zero: Evolving Machine Learning Algorithms From Scratch	2020	Esteban Real Liang Chen David R. So Quoc V. Le	4
+ PDF Chat	Open-world Machine Learning: Applications, Challenges, and Opportunities	2022	Jitendra Parmar Satyendra Singh Chouhan Vaskar Raychoudhury Santosh Singh Rathore	4
+	AI-GAs: AI-generating algorithms, an alternate paradigm for producing general artificial intelligence	2019	Jeff Clune	4
+ PDF Chat	AutoML: A survey of the state-of-the-art	2020	Xin He Kaiyong Zhao Xiaowen Chu	4
+ PDF Chat	jMetalPy: A Python framework for multi-objective optimization with metaheuristics	2019	Antonio Benítez‐Hidalgo Antonio J. Nebro José García-Nieto Izaskun Oregi Javier Del Ser	4
+	Regularized Evolution for Image Classifier Architecture Search	2019	Esteban Real Alok Aggarwal Yanping Huang Quoc V. Le	4
+	None	1997	Rainer Storn Kenneth V. Price	3
+	Paired Open-Ended Trailblazer (POET): Endlessly Generating Increasingly Complex and Diverse Learning Environments and Their Solutions	2019	Rui Wang Joel Lehman Jeff Clune Kenneth O. Stanley	3
+ PDF Chat	EDropout: Energy-Based Dropout and Pruning of Deep Neural Networks	2021	Hojjat Salehinejad Shahrokh Valaee	3
+ PDF Chat	Firefly Algorithms for Multimodal Optimization	2009	Xin‐She Yang	3
+ PDF Chat	Evolving Deep Neural Networks	2018	Risto Miikkulainen Jason Liang Elliot Meyerson Aditya Rawal Daniel Fink Olivier Francon Bala Raju Hormoz Shahrzad Arshak Navruzyan Nigel Duffy	3
+ PDF Chat	Comprehensive Taxonomies of Nature- and Bio-inspired Optimization: Inspiration Versus Algorithmic Behavior, Critical Analysis Recommendations	2020	Daniel Molina Javier Poyatos Javier Del Ser Salvador García Amir Hussain Francisco Herrera	3
+ PDF Chat	EDEN: Evolutionary deep networks for efficient machine learning	2017	Emmanuel Dufourq Bruce A. Bassett	3
+ PDF Chat	NSGANetV2: Evolutionary Multi-objective Surrogate-Assisted Neural Architecture Search	2020	Zhichao Lu Kalyanmoy Deb Erik D. Goodman Wolfgang Banzhaf Vishnu Naresh Boddeti	3
+	Statistical Comparisons of Classifiers over Multiple Data Sets	2006	Janez Demšar	3
+	Efficient Multi-objective Neural Architecture Search via Lamarckian Evolution	2018	Thomas Elsken Jan Hendrik Metzen Frank Hutter	3
+	Similarity of Neural Network Representations Revisited	2019	Simon Kornblith Mohammad Norouzi Honglak Lee Geoffrey E. Hinton	2
+	Comprehensive Privacy Analysis of Deep Learning: Stand-alone and Federated Learning under Passive and Active White-box Inference Attacks.	2018	Milad Nasr Reza Shokri Amir Houmansadr	2
+	Survey of Dropout Methods for Deep Neural Networks.	2019	Alex Labach Hojjat Salehinejad Shahrokh Valaee	2
+	Autonomously and Simultaneously Refining Deep Neural Network Parameters by a Bi-Generative Adversarial Network Aided Genetic Algorithm	2018	Yantao Lu Burak Kakillioglu Senem Velipasalar	2
+	CEM-RL: Combining evolutionary and gradient-based methods for policy search	2018	Aloïs Pourchot Olivier Sigaud	2
+	Primary study of spiral dynamics inspired optimization	2010	Kenichi Tamura Keiichiro Yasuda	2
+	Efficient Neural Architecture Search with Network Morphism	2018	Haifeng Jin Qingquan Song Xia Hu	2
+ PDF Chat	A swarm optimization algorithm inspired in the behavior of the social-spider	2013	Erik Cuevas Miguel Cienfuegos Daniel Zaldívar Marco Pérez‐Cisneros	2
+ PDF Chat	Eagle Strategy Using Lévy Walk and Firefly Algorithms for Stochastic Optimization	2010	Xin‐She Yang Suash Deb	2
+	A Simple Unified Framework for Detecting Out-of-Distribution Samples and Adversarial Attacks	2018	Kimin Lee Kibok Lee Honglak Lee Jinwoo Shin	2
+	Automatically Evolving CNN Architectures Based on Blocks	2018	Yanan Sun Bing Xue Jun Zhang	2
+	Large-Scale Evolution of Image Classifiers	2017	Esteban Real Sherry Moore Andrew Selle Saurabh Saxena Yutaka L. Suematsu Jie Tan Quoc V. Le А.В. Куракин	2
+	Back to Basics: Benchmarking Canonical Evolution Strategies for Playing Atari	2018	Patryk Chrabąszcz Ilya Loshchilov Frank Hutter	2
+	Continual lifelong learning with neural networks: A review	2019	German I. Parisi Ronald Kemker Jose L. Part Christopher Kanan Stefan Wermter	2
+	From Nodes to Networks: Evolving Recurrent Neural Networks	2018	Aditya Rawal and Risto Miikkulainen	2
+ PDF Chat	A Particle Swarm Optimization-Based Flexible Convolutional Autoencoder for Image Classification	2018	Yanan Sun Bing Xue Mengjie Zhang Gary G. Yen	2
+ PDF Chat	Group leaders optimization algorithm	2011	Ammar Daskin Sabre Kais	2
+	Optimization based on bacterial chemotaxis	2002	Sibylle D. Müller J. Marchetto S. Airaghi P. Kournoutsakos	2
+	Some metaheuristics should be simplified	2017	A. Piotrowski Jarosław J. Napiórkowski	2
+	Deep Neuroevolution: Genetic Algorithms Are a Competitive Alternative for Training Deep Neural Networks for Reinforcement Learning	2017	Felipe Petroski Such Vashisht Madhavan Edoardo Conti Joel Lehman Kenneth O. Stanley Jeff Clune	2
+	Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation	2014	Kyunghyun Cho Bart van Merriënboer Çaǧlar Gülçehre Dzmitry Bahdanau Fethi Bougares Holger Schwenk Yoshua Bengio	2
+	Simple And Efficient Architecture Search for Convolutional Neural Networks	2017	Thomas Elsken Jan-Hendrik Metzen Frank Hutter	2
+	AN EFFICIENT METAHEURISTIC ALGORITHM FOR ENGINEERING OPTIMIZATION: SOPT	2012	O. Hasançebi Sina Kazemzadeh Azad	2
+	Generative NeuroEvolution for Deep Learning	2013	Phillip Verbancsics Josh Harguess	2
+	Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer Learning	2016	Hoo-Chang Shin Holger R. Roth Mingchen Gao Le Lü Ziyue Xu Isabella Nogues Jianhua Yao Daniel J. Mollura Ronald M. Summers	2
+ PDF Chat	Novel Type of Phase Transition in a System of Self-Driven Particles	1995	Tamás Vicsek András Czirók Eshel Ben‐Jacob Inon Cohen Ofer Shochet	2
+	Evolutionary Reinforcement Learning	2018	Shauharda Khadka Kagan Tumer	2
+ PDF Chat	Structured Pruning of Deep Convolutional Neural Networks	2017	Sajid Anwar Kyuyeon Hwang Wonyong Sung	2
+ PDF Chat	Convolutional Neural Networks for Medical Image Analysis: Full Training or Fine Tuning?	2016	Nima Tajbakhsh Jae Y. Shin Suryakanth R. Gurudu R. Todd Hurst Christopher B. Kendall Michael B. Gotway Jianming Liang	2
+ PDF Chat	Large scale evolution of convolutional neural networks using volunteer computing	2017	Travis Desell	2