Marcilio C. P. de Souto

28 papers B 12C 2Misc 1Journal 8Unranked 4
YearRankTypeTitle / Venue / Authors
2023 C conf
Complexity-Driven Sampling for Bagging.
IDEAL
Carmen Lancho, Marcilio C. P. de Souto, Ana Carolina Lorena, Isaac Martín de Diego
2023 J jnl
Explainability in image captioning based on the latent space.
Neurocomputing
Sofiane Elguendouze, Adel Hafiane, Marcilio C. P. de Souto, Anaïs Halftermeyer
2022 J jnl
An analysis of the admissibility of the objective functions applied in evolutionary multi-objective clustering.
Inf. Sci.
Cristina Y. Morimoto, Aurora T. R. Pozo, Marcilio C. P. de Souto
2022 B conf
Anchored Constrained Clustering Ensemble.
IJCNN
Mathieu Guilbert, Christel Vrain, Thi-Bich-Hanh Dao, Marcilio C. P. de Souto
2022 B conf
Towards Explainable Deep Learning for Image Captioning through Representation Space Perturbation.
IJCNN
Sofiane Elguendouze, Marcilio C. P. de Souto, Adel Hafiane, Anaïs Lefeuvre-Halftermeyer
2021 J jnl
A Survey of Evolutionary Multi-Objective Clustering Approaches.
CoRR
Cristina Y. Morimoto, Aurora T. R. Pozo, Marcilio C. P. de Souto
2021 J jnl
Assessing the data complexity of imbalanced datasets.
Inf. Sci.
Victor H. Barella, Luís Paulo F. Garcia, Marcilio C. P. de Souto, Ana Carolina Lorena, André C. P. L. F. de Carvalho
2021 Misc conf
Automatic recovering the number
SAC
Hério Sousa, Marcilio C. P. de Souto, Reginaldo Massanobu Kuroshu, Ana Carolina Lorena
2021 — conf
Evaluating Data Characterization Measures for Clustering Problems in Meta-learning.
ICONIP (1)
Luiz Henrique dos Santos Fernandes, Marcilio C. P. de Souto, Ana Carolina Lorena
2021 — conf
Multi-objective Clustering: A Data-Driven Analysis of MOCLE, MOCK and Δ-MOCK.
ICONIP (5)
Adriano Kultzak, Cristina Y. Morimoto, Aurora T. R. Pozo, Marcilio C. P. de Souto
2021 J jnl
Multi-objective Clustering: A Data-driven Analysis of MOCLE, MOCK and Δ-MOCK.
CoRR
Adriano Kultzak, Cristina Y. Morimoto, Aurora T. R. Pozo, Marcilio C. P. de Souto
2020 J jnl
Hybrid strategy for selecting compact set of clustering partitions.
Appl. Soft Comput.
Vanessa Antunes, Tiemi C. Sakata, Katti Faceli, Marcilio C. P. de Souto
2018 B conf
Classifier Recommendation Using Data Complexity Measures.
ICPR
Luís Paulo F. Garcia, Ana Carolina Lorena, Marcilio C. P. de Souto, Tin Kam Ho
2018 B conf
Data Complexity Measures for Imbalanced Classification Tasks.
IJCNN
Victor H. Barella, Luís Paulo F. Garcia, Marcilio C. P. de Souto, Ana Carolina Lorena, André C. P. L. F. de Carvalho
2018 J jnl
How Complex is your classification problem? A survey on measuring classification complexity.
CoRR
Ana Carolina Lorena, Luís Paulo F. Garcia, Jens Lehmann, Marcilio C. P. de Souto, Tin Kam Ho
2017 B conf
Interpreting multivariate membership degrees of fuzzy clustering methods: A strategy.
IJCNN
Bruno A. Pimentel, Marcilio C. P. de Souto, Renata M. C. R. de Souza
2014 B conf
Issues on sampling negative examples for predicting prokaryotic promoters.
IJCNN
Eduardo G. Gusmão, Marcilio C. P. de Souto
2013 J jnl
Guest Editorial for Special Section on BSB 2012.
IEEE ACM Trans. Comput. Biol. Bioinform.
Marcilio C. P. de Souto, Maricel G. Kann
2012 — conf
A Comparison of External Clustering Evaluation Indices in the Context of Imbalanced Data Sets.
SBRN
Marcilio C. P. de Souto, André L. V. Coelho, Katti Faceli, Tiemi C. Sakata, Viviane Bonadia dos Santos, Ivan G. Costa
2011 B conf
A tool to implement probabilistic automata in RAM-based neural networks.
IJCNN
Marcilio C. P. de Souto, José Carlos Martins Oliveira, Teresa Bernarda Ludermir
2011 — ch.
Selecting Machine Learning Algorithms Using the Ranking Meta-Learning Approach.
Meta-Learning in Computational Intelligence
Ricardo Bastos Cavalcante Prudêncio, Marcilio C. P. de Souto, Teresa Bernarda Ludermir
2010 — conf
On the Complexity of Gene Marker Selection.
SBRN
Ana Carolina Lorena, Newton Spolaôr, Ivan G. Costa, Marcilio C. P. de Souto
2007 C conf
Using an Evolutionary Agent-Based System for Classification Tasks.
ISDA
Diogo F. de Oliveira, Anne M. P. Canuto, Marcilio C. P. de Souto
2005 B conf
A comparative analysis of the performance of hybrid and non-hybrid multi-classifier systems.
IJCNN
Anne M. P. Canuto, Marcilio C. P. de Souto, Araken M. Santos, Valéria Maria S. Bezerra, Sussany Mirelli
2005 B conf
An empirical comparison of individual machine learning techniques and ensemble approaches in protein structural class prediction.
IJCNN
Valnaide G. Bittencourt, Márjory C. C. Abreu, Marcilio C. P. de Souto, Anne Magály de Paula Canuto
2005 B conf
Cluster ensemble for gene expression microarray data.
IJCNN
Marcilio C. P. de Souto, Shirly C. M. Silva, Valnaide G. Bittencourt, Daniel S. A. de Araujo
2004 B conf
Comparative study of connectionist techniques for implementing the pattern recognition system of an artificial nose.
IJCNN
Marcelo B. de Almeida, Marcilio C. P. de Souto, Teresa Bernarda Ludermir
2004 B conf
Global optimisation methods for choosing the connectivity pattern of N-tuple classifiers.
IJCNN
Luiz A. C. Garcia, Marcilio C. P. de Souto