Marcilio C. P. de Souto

Publication Activity (10 Years)

Years Active: 2007-2023
Publications (10 Years): 16

Top Topics

Data Complexity

Negative Examples

Clustering Approaches

Membership Degrees

Top Venues

Publications

Carmen Lancho, Marcilio C. P. de Souto, Ana Carolina Lorena, Isaac Martín de Diego
Complexity-Driven Sampling for Bagging. IDEAL (2023)
Sofiane Elguendouze, Adel Hafiane, Marcilio C. P. de Souto, Anaïs Halftermeyer
Explainability in image captioning based on the latent space. Neurocomputing 546 (2023)
Sofiane Elguendouze, Marcilio C. P. de Souto, Adel Hafiane, Anaïs Lefeuvre-Halftermeyer
Towards Explainable Deep Learning for Image Captioning through Representation Space Perturbation. IJCNN (2022)
Mathieu Guilbert, Christel Vrain, Thi-Bich-Hanh Dao, Marcilio C. P. de Souto
Anchored Constrained Clustering Ensemble. IJCNN (2022)
Cristina Y. Morimoto, Aurora T. R. Pozo, Marcilio C. P. de Souto
An analysis of the admissibility of the objective functions applied in evolutionary multi-objective clustering. Inf. Sci. 610 (2022)
Adriano Kultzak, Cristina Y. Morimoto, Aurora T. R. Pozo, Marcilio C. P. de Souto
Multi-objective Clustering: A Data-Driven Analysis of MOCLE, MOCK and Δ-MOCK. ICONIP (5) (2021)
Adriano Kultzak, Cristina Y. Morimoto, Aurora Pozo, Marcilio C. P. de Souto
Multi-objective Clustering: A Data-driven Analysis of MOCLE, MOCK and Δ-MOCK. CoRR (2021)
Luiz Henrique dos Santos Fernandes, Marcilio C. P. de Souto, Ana Carolina Lorena
Evaluating Data Characterization Measures for Clustering Problems in Meta-learning. ICONIP (1) (2021)
Victor H. Barella, Luís Paulo F. Garcia, Marcilio C. P. de Souto, Ana Carolina Lorena, André C. P. L. F. de Carvalho
Assessing the data complexity of imbalanced datasets. Inf. Sci. 553 (2021)
Hério Sousa, Marcilio C. P. de Souto, Reginaldo Massanobu Kuroshu, Ana Carolina Lorena
of clusters in the data by active query selection. SAC (2021)
Cristina Y. Morimoto, Aurora Pozo, Marcilio C. P. de Souto
A Survey of Evolutionary Multi-Objective Clustering Approaches. CoRR (2021)
Vanessa Antunes, Tiemi C. Sakata, Katti Faceli, Marcilio C. P. de Souto
Hybrid strategy for selecting compact set of clustering partitions. Appl. Soft Comput. 87 (2020)
Victor H. Barella, Luís Paulo F. Garcia, Marcilio C. P. de Souto, Ana Carolina Lorena, André C. P. L. F. de Carvalho
Data Complexity Measures for Imbalanced Classification Tasks. IJCNN (2018)
Luís Paulo F. Garcia, Ana Carolina Lorena, Marcilio C. P. de Souto, Tin Kam Ho
Classifier Recommendation Using Data Complexity Measures. ICPR (2018)
Ana Carolina Lorena, Luís Paulo F. Garcia, Jens Lehmann, Marcilio C. P. de Souto, Tin Kam Ho
How Complex is your classification problem? A survey on measuring classification complexity. CoRR (2018)
Bruno A. Pimentel, Marcilio C. P. de Souto, Renata M. C. R. de Souza
Interpreting multivariate membership degrees of fuzzy clustering methods: A strategy. IJCNN (2017)
Eduardo G. Gusmão, Marcilio C. P. de Souto
Issues on sampling negative examples for predicting prokaryotic promoters. IJCNN (2014)
Marcilio C. P. de Souto, Maricel G. Kann
Guest Editorial for Special Section on BSB 2012. IEEE ACM Trans. Comput. Biol. Bioinform. 10 (4) (2013)
Marcilio C. P. de Souto, André L. V. Coelho, Katti Faceli, Tiemi C. Sakata, Viviane Bonadia, Ivan G. Costa
A Comparison of External Clustering Evaluation Indices in the Context of Imbalanced Data Sets. SBRN (2012)
Marcilio C. P. de Souto, José Carlos Martins Oliveira, Teresa Bernarda Ludermir
A tool to implement probabilistic automata in RAM-based neural networks. IJCNN (2011)
Ana Carolina Lorena, Newton Spolaôr, Ivan G. Costa, Marcilio C. P. de Souto
On the Complexity of Gene Marker Selection. SBRN (2010)
Diogo F. de Oliveira, Anne M. P. Canuto, Marcilio C. P. de Souto
Using an Evolutionary Agent-Based System for Classification Tasks. ISDA (2007)