Francisco Herrera

发表

Lights and shadows in Evolutionary Deep Learning: Taxonomy, critical methodological analysis, cases of study, learned lessons, recommendations and challenges

Javier Del Ser, Eneko Osaba, Daniel Molina, 2020, Inf. Fusion.

Comprehensive Taxonomies of Nature- and Bio-inspired Optimization: Inspiration Versus Algorithmic Behavior, Critical Analysis Recommendations

S. García, A. Hussain, J. Ser, 2020, Cognitive Computation.

AT-MFCGA: An Adaptive Transfer-guided Multifactorial Cellular Genetic Algorithm for Evolutionary Multitasking pdf

Francisco Herrera, Javier Del Ser, Eneko Osaba, 2020, Inf. Sci..

Comprehensive Taxonomies of Nature- and Bio-inspired Optimization: Inspiration Versus Algorithmic Behavior, Critical Analysis Recommendations

S. García, A. Hussain, J. Ser, 2020, Cognitive Computation.

Comprehensive Taxonomies of Nature- and Bio-inspired Optimization: Inspiration Versus Algorithmic Behavior, Critical Analysis Recommendations

Javier Del Ser, Amir Hussain, Francisco Herrera, 2020, Cognitive Computation.

Exploring the Trade-off between Plausibility, Change Intensity and Adversarial Power in Counterfactual Explanations using Multi-objective Optimization

Alejandro Barredo Arrieta, Natalia Díaz Rodríguez, J. Ser, 2022, ArXiv.

Explainable Artificial Intelligence (XAI): Concepts, Taxonomies, Opportunities and Challenges toward Responsible AI

Alejandro Barredo Arrieta, Natalia Díaz Rodríguez, S. García, 2019, Inf. Fusion.

Explainable Artificial Intelligence (XAI): Concepts, Taxonomies, Opportunities and Challenges toward Responsible AI

Alejandro Barredo Arrieta, Natalia Díaz Rodríguez, S. García, 2019, Inf. Fusion.

Bio-inspired computation: Where we stand and what's next

Xin-She Yang, Javier Del Ser, Francisco Herrera, 2019, Swarm Evol. Comput..

Data harmonisation for information fusion in digital healthcare: A state-of-the-art systematic review, meta-analysis and future research directions pdf

Javier Del Ser, Carola-Bibiane Schönlieb, Marion I. Menzel, 2022, Inf. Fusion.

LUNAR: Cellular Automata for Drifting Data Streams

Francisco Herrera, Javier Del Ser, Jesus L. Lobo, 2020, Inf. Sci..

Analyze, Sense, Preprocess, Predict, Implement, and Deploy (ASPPID): An incremental methodology based on data analytics for cost-efficiently monitoring the industry 4.0

Francisco Herrera, Javier Del Ser, Antonio J. Nebro, 2019, Eng. Appl. Artif. Intell..

Comprehensive Taxonomies of Nature- and Bio-inspired Optimization: Inspiration Versus Algorithmic Behavior, Critical Analysis Recommendations

S. García, J. Ser, Javier Poyatos, 2020, Cognitive Computation.

A prescription of methodological guidelines for comparing bio-inspired optimization algorithms

Javier Del Ser, Eneko Osaba, Daniel Molina, 2021, Swarm Evol. Comput..

A Tutorial On the design, experimentation and application of metaheuristic algorithms to real-World optimization problems

Javier Del Ser, Ponnuthurai N. Suganthan, Carlos A. Coello Coello, 2021, Swarm Evol. Comput..

An Insight into Bio-inspired and Evolutionary Algorithms for Global Optimization: Review, Analysis, and Lessons Learnt over a Decade of Competitions

Francisco Herrera, Daniel Molina, Antonio LaTorre, 2018, Cognitive Computation.

Since CEC 2005 competition on real-parameter optimisation: a decade of research, progress and comparative analysis’s weakness

Francisco Herrera, Carlos García-Martínez, Manuel Lozano, 2017, Soft Comput..

AT-MFCGA: An Adaptive Transfer-guided Multifactorial Cellular Genetic Algorithm for Evolutionary Multitasking

Javier Del Ser, Eneko Osaba, Jesus L. Lobo, 2020, Inf. Sci..

Multifactorial Cellular Genetic Algorithm (MFCGA): Algorithmic Design, Performance Comparison and Genetic Transferability Analysis

Javier Del Ser, Eneko Osaba, Jesus L. Lobo, 2020, 2020 IEEE Congress on Evolutionary Computation (CEC).

Connecting the Dots in Trustworthy Artificial Intelligence: From AI Principles, Ethics, and Key Requirements to Responsible AI Systems and Regulation

Natalia Díaz Rodríguez, J. Ser, Francisco Herrera, 2023, ArXiv.

Explainable Artificial Intelligence (XAI): What we know and what is left to attain Trustworthy Artificial Intelligence

J. Ser, Francisco Herrera, R. Confalonieri, 2023, Inf. Fusion.

EvoPruneDeepTL: An Evolutionary Pruning Model for Transfer Learning based Deep Neural Networks

Aritz D. Martinez, J. Ser, Javier Poyatos, 2022, Neural Networks.

CURIE: a cellular automaton for concept drift detection pdf

Francisco Herrera, Javier Del Ser, Eneko Osaba, 2020, Data Mining and Knowledge Discovery.

General Purpose Artificial Intelligence Systems (GPAIS): Properties, Definition, Taxonomy, Open Challenges and Implications

J. Ser, Javier Poyatos, D. Molina, 2023, ArXiv.

Adaptive Multifactorial Evolutionary Optimization for Multitask Reinforcement Learning

Eneko Osaba, Aritz D. Martinez, Javier Del Ser, 2021, IEEE Transactions on Evolutionary Computation.

Multiobjective Evolutionary Pruning of Deep Neural Networks with Transfer Learning for improving their Performance and Robustness

J. Ser, Javier Poyatos, D. Molina, 2023, Appl. Soft Comput..

Connecting the Dots in Trustworthy Artificial Intelligence: From AI Principles, Ethics, and Key Requirements to Responsible AI Systems and Regulation

Natalia Díaz Rodríguez, J. Ser, Francisco Herrera, 2023, Inf. Fusion.

Fuzzy Attention Neural Network to Tackle Discontinuity in Airway Segmentation

J. Ser, Francisco Herrera, W. Pedrycz, 2022, IEEE transactions on neural networks and learning systems.

Modeling dynamics of a real-coded CHC algorithm in terms of dynamical probability distributions

D. Molina, Francisco Herrera, Jesús Marín, 2011, Soft Computing.

EvoPruneDeepTL: An Evolutionary Pruning Model for Transfer Learning based Deep Neural Networks

Aritz D. Martinez, J. Ser, Javier Poyatos, 2022, Neural Networks.

General Purpose Artificial Intelligence Systems (GPAIS): Properties, definition, taxonomy, societal implications and responsible governance

J. Ser, Javier Poyatos, D. Molina, 2024, Inf. Fusion.