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Francisco Herrera
Francisco Herrera
Professor Computer Science and AI, DaSCI Research Institute, Granada University, Spain
decsai.ugr.es의 이메일 확인됨 - 홈페이지
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Explainable Artificial Intelligence (XAI): Concepts, Taxonomies, Opportunities and Challenges toward Responsible AI
AB Arrieta, N Díaz-Rodríguez, J Del Ser, A Bennetot, S Tabik, A Barbado, ...
Information Fusion 58, Pages 82-115, 2020
83882020
A practical tutorial on the use of nonparametric statistical tests as a methodology for comparing evolutionary and swarm intelligence algorithms
J Derrac, S García, D Molina, F Herrera
Swarm and Evolutionary Computation 1 (1), 3-18, 2011
52832011
A 2-tuple fuzzy linguistic representation model for computing with words
F Herrera, L Martínez
Fuzzy Systems, IEEE Transactions on 8 (6), 746-752, 2000
35352000
A Review on Ensembles for the Class Imbalance Problem: Bagging-, Boosting-, and Hybrid-Based Approaches
M Galar, A Fernández, E Barrenechea, H Bustince, F Herrera
Systems, Man, and Cybernetics, Part C: Applications and Reviews, IEEE …, 2012
32712012
Science mapping software tools: Review, analysis, and cooperative study among tools
MJ Cobo, AG López‐Herrera, E Herrera‐Viedma, F Herrera
Journal of the American Society for Information Science and Technology 62 (7 …, 2011
30242011
Keel data-mining software tool: Data set repository, integration of algorithms and experimental analysis framework
J Alcalá, A Fernández, J Luengo, J Derrac, S García, L Sánchez, ...
Journal of Multiple-Valued Logic and Soft Computing 17 (2-3), 255-287, 2011
2961*2011
An approach for detecting, quantifying, and visualizing the evolution of a research field: A practical application to the fuzzy sets theory field
MJ Cobo, AG López-Herrera, E Herrera-Viedma, F Herrera
Journal of Informetrics 5 (1), 146-166, 2011
24912011
Hesitant Fuzzy Linguistic Terms Sets for Decision Making
R Rodriguez, L Martinez, F Herrera
IEEE Transactions on Fuzzy Systems 20 (1), 109-119, 2012
24652012
Advanced nonparametric tests for multiple comparisons in the design of experiments in computational intelligence and data mining: Experimental analysis of power
S García, A Fernández, J Luengo, F Herrera
Information sciences 180 (10), 2044-2064, 2010
22782010
Linguistic decision analysis: steps for solving decision problems under linguistic information
F Herrera, E Herrera-Viedma
Fuzzy Sets and systems 115 (1), 67-82, 2000
21102000
SMOTE for Learning from Imbalanced Data: Progress and Challenges. Marking the 15-year Anniversary
A Fernández, S Garcıa, F Herrera, NV Chawla
Journal of Artificial Intelligence Research 61, pages 863-905, 2018
19152018
An insight into classification with imbalanced data: Empirical results and current trends on using data intrinsic characteristics
V López, A Fernández, S García, V Palade, F Herrera
Information sciences 250, 113-141, 2013
18962013
Tackling real-coded genetic algorithms: Operators and tools for behavioural analysis
F Herrera, M Lozano, JL Verdegay
Artificial intelligence review 12, 265-319, 1998
18271998
A study on the use of non-parametric tests for analyzing the evolutionary algorithms’ behaviour: a case study on the CEC’2005 special session on real parameter optimization
S García, D Molina, M Lozano, F Herrera
Journal of Heuristics 15 (6), 617-644, 2009
17842009
Data Preprocessing in Data Mining
S García, J Luengo, F Herrera
Springer, 2015
17742015
An extension on statistical comparisons of classifiers over multiple data sets for all pairwise comparisons
S Garcıa, F Herrera
Journal of Machine Learning Research 9 (2677-2694), 66, 2008
17572008
KEEL: a software tool to assess evolutionary algorithms for data mining problems
J Alcalá-Fdez, L Sánchez, S García, MJ Del Jesus, S Ventura, JM Garrell, ...
Soft Computing-A Fusion of Foundations, Methodologies and Applications 13 (3 …, 2009
17192009
Genetic fuzzy systems: evolutionary tuning and learning of fuzzy knowledge bases
LM O. Cordón, F. Herrera, F. Hoffmann
World Scientific Pub Co Inc, 2001
1551*2001
A model of consensus in group decision making under linguistic assessments
F Herrera, JL Herrera-Viedma, E, Verdegay
Fuzzy sets and Systems 78 (1), 73-87, 1996
14361996
Learning from Imbalanced Data Sets
A Fernández, S García, M Galar, RC Prati, B Krawczyk, F Herrera
Springer, 2018
13972018
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학술자료 1–20