Lecture Notes in Computer Science 11047

Commenced Publication in 1973Founding and Former Series Editors:Gerhard Goos, Juris Hartmanis, and Jan van Leeuwen

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David HutchisonLancaster University, Lancaster, UK

Takeo KanadeCarnegie Mellon University, Pittsburgh, PA, USA

Josef KittlerUniversity of Surrey, Guildford, UK

Jon M. KleinbergCornell University, Ithaca, NY, USA

Friedemann MatternETH Zurich, Zurich, Switzerland

John C. MitchellStanford University, Stanford, CA, USA

Moni NaorWeizmann Institute of Science, Rehovot, Israel

C. Pandu RanganIndian Institute of Technology Madras, Chennai, India

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More information about this series at http://www.springer.com/series/7412

Yanio Hernández Heredia • Vladimir Milián NúñezJosé Ruiz Shulcloper (Eds.)

Progress inArtificial Intelligenceand Pattern Recognition6th International Workshop, IWAIPR 2018Havana, Cuba, September 24–26, 2018Proceedings

123

EditorsYanio Hernández HerediaUniversidad de las Ciencias InformáticasHavanaCuba

Vladimir Milián NúñezUniversidad de las Ciencias InformáticasHavanaCuba

José Ruiz ShulcloperUniversidad de las Ciencias InformáticasHavanaCuba

ISSN 0302-9743 ISSN 1611-3349 (electronic)Lecture Notes in Computer ScienceISBN 978-3-030-01131-4 ISBN 978-3-030-01132-1 (eBook)https://doi.org/10.1007/978-3-030-01132-1

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Preface

The 6th International Workshop on Artificial Intelligence and Pattern Recognition(IWAIPR 2018) was the biennial event of a series of pioneer conferences on artificialintelligence and pattern recognition in the scientific community active in these fields inCuba and other countries.

As has been the case for previous editions of the conference, IWAIPR 2018 hostedworldwide participants with the aim of promoting and disseminating ongoing researchon mathematical methods and computing techniques for artificial intelligence andpattern recognition, in particular in bioinformatics, cognitive and humanoid vision,computer vision, image analysis and intelligent data analysis, as well as their appli-cation in a number of diverse areas such as industry, health, robotics, data mining,opinion mining and sentiment analysis, telecommunications, document analysis, andnatural language processing and recognition. Moreover, IWAIPR 2018 was a forum forthe scientific community to exchange research experience, to share new knowledge,and to increase the cooperation among research groups working in artificial intelli-gence, pattern recognition, and related areas.

IWAIPR 2018 received 101 contributions from 12 countries. After a rigorous blindreviewing process, where three highly qualified reviewers reviewed each submission,42 papers authored by 138 authors from seven countries were accepted. The scientificquality of the accepted papers was above the overall mean rating.

Like the most recent editions of the conference, IWAIPR 2018 was a single-trackconference in which all papers where presented in oral sessions. IWAIPR 2018 pre-sentations were grouped into six sessions: Artificial Intelligence and Applications;Biometrics, Image, and Video Analysis; Data Mining and Applications; MachineLearning Theory and Applications; Pattern Recognition and Applications; SignalsAnalysis and Processing.

We like to point out that the reputation of the IWAIPR conferences is growing andtherefore the proceedings are published in the series Lecture Notes in Computer Sci-ence by Springer.

Besides the 42 accepted submissions, the scientific program of IWAIPR 2018 alsoincluded the contribution of an outstanding invited speaker, namely, Edwin Diday(Paris-Dauphine University, CEREMADE, France). The paper of this keynote appearsin these proceedings.

IWAIPR 2018 was organized by Universidad de las Ciencias Informáticas, Cuba(UCI) and the Cuban Association for Pattern Recognition (ACRP) with the sponsorshipof the Cuban Society for Mathematics and Computer Sciences (SCMC). Weacknowledge and appreciate their valuable contribution to the success of IWAIPR2018.

We gratefully acknowledge the help of all members of the Organizing Committeeand of the Program Committee for their support and for the rigorous work in thereviewing process.

We also wish to thank the members of the local committee for their unflagging workin the organization of IWAIPR 2018 that has helped create an excellent conference andproceedings.

We are especially grateful to Alfred Hofmann (Vice President Publishing, ComputerScience, Springer), Anna Kramer (Assistant Editor, Computer Science Editorial,Springer), and Volha Shaparava (Springer Nature OCS Support) for their support andadvice during the preparation of this LNCS volume.

Special thanks are due to all authors who submitted to IWAIPR 2018, includingthose of papers that could not be accepted.

Finally, we invite the artificial intelligence and pattern recognition communities toattend IWAIPR 2020 in Havana, Cuba.

September 2018 Yanio Hernández HerediaVladimir Milián NúñezJosé Ruiz Shulcloper

VI Preface

Organization

IWAIPR 2018 was organized by Universidad de las Ciencias Informáticas, endorsed bythe Cuban Association for Pattern Recognition and Cuban Society for Mathematics andComputer Science and sponsored by Universidad de las Ciencias Informáticas, Cuba.

Program Chairs

Yanio Hernández Heredia Universidad de Las Ciencias Informáticas, CubaVladimir Milián Núñez Universidad de Las Ciencias Informáticas, CubaJosé Ruiz Shulcloper Universidad de Las Ciencias Informáticas, Cuba

Local Committee

Miriam Nicado García Universidad de las Ciencias Informáticas, CubaBeatriz Aragón Fernández Universidad de las Ciencias Informáticas, CubaRaydel Montesino Perurena Universidad de las Ciencias Informáticas, CubaNadiela Milan Cristo Universidad de las Ciencias Informáticas, CubaNatalia Martínez Sánchez Universidad de las Ciencias Informáticas, CubaHector Raúl González Diez Universidad de las Ciencias Informáticas, CubaYadian Guillermo Pérez

BetancourtUniversidad de las Ciencias Informáticas, Cuba

Yunia Reyes González Universidad de las Ciencias Informáticas, CubaJosé Manuel de León Cano Universidad de las Ciencias Informáticas, CubaMaidelis Milanés Luque Universidad de las Ciencias Informáticas, CubaRigoberto David García

MauriUniversidad de las Ciencias Informáticas, Cuba

Madelis Pérez Gil Universidad de las Ciencias Informáticas, CubaAlexander Dicson Reyes Universidad de las Ciencias Informáticas, Cuba

Program Committee

Sergey Ablameyko Belarusian State University, BelarusDaniel Acevedo Universidad de Buenos Aires, ArgentinaNiusvel Acosta Advanced Technologies Applications Center, CubaLeticia Arco Univiversidad Central Marta Abreu de Las Villas, CubaAli Ismail Awad Al Azhar University, EgyptRafael Bello Universidad Central Marta Abreu de Las Villas, CubaRafael Berlanga-Llavori Universitat Jaime I Castelló, SpainNadia Brancati Institute of High-Performance Computing and

Networking, ItalyMaría Elena Buemi University of Buenos Aires, Argentina

José Ramón Calvo de Lara Advanced Technologies Applications Center, CubaSergio Cano Universidad de Oriente, CubaJesús Ariel Carrasco-Ochoa Instituto Nacional Astrofísica, Óptica y Electrónica,

MéxicoGérard Chollet French National Centre for Scientific Research, FranceEduardo Concepción Universidad de Cienfuegos, CubaAlfonso Estudillo-Romero Universidad Nacional Autónoma de México, MéxicoJacques Facon Pontificia Universidade Católica do Paraná, BrazilGustavo Fernandez Austrian Institute of Technology, AustriaCarlos Ferrer Universidad Central Marta Abreu de Las Villas, CubaFrancesc J. Ferri Universidad de Valencia, SpainYaima Filiberto Universidad de Camagüey, CubaAndrés Gago-Alonso Advanced Technologies Applications Center, CubaEdel García-Reyes Advanced Technologies Applications Center, CubaMaría Matilde García Universidad Central Marta Abreu de Las Villas, CubaEduardo Garea-Llano Advanced Technologies Applications Center, CubaLev Goldfarb University of New Brunswick, Fredericton, CanadaLuis Gomez Universidad de Las Palmas de Gran Canarias, SpainAntoni Grau Universitat Politecnica de Catalunya, SpainRaudel Hernández Advanced Technologies Applications Center, CubaLaurent Heutte Université de Rouen, FranceXiaoyi Jiang Universitat Münster, GermanyMartin Kampel Vienna University of Technology, AustriaVitaly Kober CICESE, MéxicoManuel S. Lazo-Cortés Instituto Nacional Astrofísica, Óptica y Electrónica,

MéxicoAurelio López-López Instituto Nacional Astrofísica, Óptica y Electrónica,

MéxicoDaniela López Universidad de Buenos Aires, ArgentinaJuan Valentín

Lorenzo-GinoriUniversidad Central Marta Abreu de Las Villas, Cuba

Francesco Marra Università degli Studi di Salerno, ItalyJosé Francisco Martínez

TrinidadInstituto Nacional Astrofísica, Óptica y Electrónica,

MéxicoNelson Mascarenhas Federal University of Sao Carlos, BrazilJosé E. Medina Pagola Universidad de las Ciencias Informáticas, CubaHeydi Mendez Advanced Technologies Applications Center, CubaAna Maria Mendonça Universidade do Porto, PortugalMarcelo Mendoza Universidad Técnica Federico Santa María, ChileManuel Montes y-Gómez Instituto Nacional Astrofísica, Óptica y Electrónica,

MéxicoAnnette Morales González Advanced Technologies Applications Center, CubaCarlos Morell Universidad Central Marta Abreu de Las Villas, CubaVadim V. Mottl Russian Academy of Sciences, RussiaAlexandra Moutinho Universidade de Lisboa, PortugalAlberto Muñoz Carlos III University, Spain

VIII Organization

Alfredo Muñoz Advanced Technologies Applications Center, CubaPablo Muse Universidad de la República, UruguayLawrence O’Gorman Bell Laboratories, USAKalman Palagyi University of Szeged, HungaryTalita Perciano Lawrence Berkeley National Laboratory, USAAirel Pérez Advanced Technologies Applications Center, CubaHemerson Pistori Catholic University, Campo Grande, BrazilOsvaldo Andrés Pérez Advanced Technologies Applications Center, CubaJosé Felipe Ramírez Universidad de las Ciencias Informáticas, CubaPedro Real University of Seville, SpainCarlos A. Reyes-García Instituto Nacional Astrofísica, Óptica y Electrónica,

MéxicoCesar San Martin Universidad de La Frontera, ChileRamón Santana Fernández Universidad de las Ciencias Informáticas, CubaJuan Humberto Sossa

AzuelaInstituto Politécnico Nacional, México

Concetto Spampinato University of Catania, ItalyEnrique Sucar Instituto Nacional Astrofísica, Óptica y Electrónica,

MéxicoAlberto Taboada-Crispi Universidad Central Marta Abreu de Las Villas, CubaEanes Torres Pereira Universidade Federal de Campina Grande, BrazilRafael Trujillo-Rasúa Universidad de las Ciencias Informáticas, CubaVera Yashina Russian Academy of Sciences, Russia

Additional Reviewers

Cristian Martinez UNSa, ArgentinaDelia Irazu Hernandez

FariasInstituto Nacional Astrofísica, Óptica y Electrónica,

MéxicoRoberto Lopez UACh, MexicoAndrés Rosso Universidad Nacional de Colombia, ColombiaMichael MacNeil Lawrence Berkeley National LabJuan Javier Sánchez

JunqueraInstituto Nacional Astrofísica, Óptica y Electrónica,

México, MexicoYanet Fors Isalguez Universidad Autónoma del Estado de Morelos, Mexico

Organization IX

Sponsoring Institutions

Universidad de las Ciencias Informáticas, Cuba (UCI)

Cuban Association for Pattern Recognition (ACRP)

Cuban Society for Mathematics and Computer Science (SCMC)

X Organization

Contents

Keynote Lecture

Improving Explanatory Power of Machine Learning in the SymbolicData Analysis Framework . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3

E. Diday

Artificial Intelligence and Applications

Classification of Neuron Sets from Non-disease States Using Time SeriesObtained Through Nonlinear Analysis of the 3D Dendritic Structures . . . . . . 17

Leonardo Agustín Hernández-Pérez, José Daniel López-Cabrera,Rubén Orozco-Morales, and Juan Valentín Lorenzo-Ginori

Evaluating the Max-Min Hill-Climbing Estimation of DistributionAlgorithm on B-Functions . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 26

Julio Madera and Alberto Ochoa

Calcified Plaque Detection in IVUS Sequences: Preliminary ResultsUsing Convolutional Nets . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 34

Simone Balocco, Mauricio González, Ricardo Ñanculef,Petia Radeva, and Gabriel Thomas

Multilayer-Based HMM Training to Support Bearing Fault Diagnosis . . . . . . 43Jorge Fernández, Andrés Álvarez, H. Quintero, J. Echeverry,and Álvaro Orozco

Predictive Model for Specific Energy Consumption in the Turningof AISI 316L Steel . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 51

Dagnier-Antonio Curra-Sosa, Roberto Pérez-Rodríguez,and Ricardo Del-Risco-Alfonso

Training Neural Networks by Continuation Particle Swarm Optimization . . . . 59Jairo Rojas-Delgado and Rafael Trujillo-Rasúa

Intelligent Data Analysis to Calculate the OperationalReliability Coefficient . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 68

Zoila Esther Morales Tabares, Alcides Cabrera Campos,Efrén Vázquez Silva, and Roberto Antonio Infante Milanés

An Integrated Deep Neural Network for Defect Detectionin Dynamic Textile Textures . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 77

Dirk Siegmund, Ashok Prajapati, Florian Kirchbuchner,and Arjan Kuijper

Biometrics, Image and Video Analysis

Speeding up High Resolution Palmprint Matchingby Using Singular Points . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 87

Manuel Aguado-Martínez and José Hernández-Palancar

Low-Resolution Face Recognition with Deep Convolutional Featuresin the Dissimilarity Space. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 95

Mairelys Hernández-Durán, Yenisel Plasencia-Calaña,and Heydi Méndez-Vázquez

Exploring Local Deep Representations for Facial GenderClassification in Videos . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 104

Fabiola Becerra-Riera, Annette Morales-González,and Heydi Méndez-Vázquez

Individual Finger Movement Recognition Based on sEMGand Classification Techniques . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 113

Laura Stella Vega-Escobar, Andrés Eduardo Castro-Ospina,and Leonardo Duque-Muñoz

Watermarking Based on Krawtchouk Moments for HandwrittenDocument Images . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 122

Ernesto Avila-Domenech and Anier Soria-Lorente

Data Mining and Applications

Multi-graph Frequent Approximate Subgraph Mining for Image Clustering. . . . 133Niusvel Acosta-Mendoza, Jesús Ariel Carrasco-Ochoa,Andrés Gago-Alonso, José Francisco Martínez-Trinidad,and José Eladio Medina-Pagola

Data Mining Techniques in Normal or Pathological Infant Cry . . . . . . . . . . . 141Yadisbel Martinez-Cañete, Sergio Daniel Cano-Ortiz,Lienys Lombardía-Legrá, Ernesto Rodríguez-Fernández,and Liette Veranes-Vicet

Angle-Based Model for Interactive Dimensionality Reductionand Data Visualization. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 149

Cielo K. Basante-Villota, Carlos M. Ortega-Castillo,Diego F. Peña-Unigarro, E. Javier Revelo-Fuelagán,Jose A. Salazar-Castro, MacArthur Ortega-Bustamante,Paul Rosero-Montalvo, Laura Stella Vega-Escobar,and Diego H. Peluffo-Ordóñez

XII Contents

Irony Detection Based on Character Language Model Classifiers . . . . . . . . . 158Yisel Clavel Quintero and Leticia Arco García

Identifying Twitter Users Influence and Open MindednessUsing Anomaly Detection . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 166

Mario Alfonso Prado-Romero, Alberto Fernández Oliva,and Lucina García Hernández

Semantic Loss in Autoencoder Tree Reconstruction Based on DifferentTuple-Based Algorithms . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 174

Hiram Calvo, Ramón Rivera-Camacho, and Ricardo Barrón-Fernndez

Machine Learning Theory and Applications

Robust K-SVD: A Novel Approach for Dictionary Learning. . . . . . . . . . . . . 185Carlos A. Loza

Customer Segmentation Using Multiple Instance Clusteringand Purchasing Behaviors . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 193

Ivett Fuentes, Gonzalo Nápoles, Leticia Arco, and Koen Vanhoof

Multimodal Alzheimer Diagnosis Using Instance-Based DataRepresentation and Multiple Kernel Learning . . . . . . . . . . . . . . . . . . . . . . . 201

Diego Collazos-Huertas, David Cárdenas-Peña,and German Castellanos-Dominguez

Relevance of Filter Bank Common Spatial Patterns Using MultipleKernel Learning in Motor Imagery . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 210

Daniel G. García-Murillo, David Cárdenas-Peña,and Germán Castellanos-Dominguez

Accelerated Proximal Gradient Descent in Metric Learningfor Kernel Regression . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 219

Hector Gonzalez, Carlos Morell, and Francesc J. Ferri

A Reinforcement Learning Approach for the Report SchedulingProcess Under Multiple Constraints . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 228

Beatriz M. Méndez-Hernández, Jessica Coto Palacio,Yailen Martínez Jiménez, Ann Nowé, and Erick D. Rodríguez Bazan

Pattern Recognition and Applications

A Restriction-Based Approach to Generalizations . . . . . . . . . . . . . . . . . . . . 239Milton García-Borroto

Contents XIII

Expanding MLkNN Using Extended Rough Set Theory. . . . . . . . . . . . . . . . 247Gabriela Pérez, Marilyn Bello, Gonzalo Nápoles,María Matilde García, Rafael Bello, and Koen Vanhoof

Proactive Forest for Supervised Classification . . . . . . . . . . . . . . . . . . . . . . . 255Nayma Cepero-Pérez, Luis Alberto Denis-Miranda,Rafael Hernández-Palacio, Mailyn Moreno-Espino,and Milton García-Borroto

Student Desertion Prediction Using Kernel Relevance Analysis. . . . . . . . . . . 263Jorge Fernández, Angelica Rojas, Genaro Daza, Diana Gómez,Andrés Álvarez, and Álvaro Orozco

Medical Equipment Replacement Prioritization IndicatorUsing Multi-criteria Decision Analysis. . . . . . . . . . . . . . . . . . . . . . . . . . . . 271

Tlazohtzin Mora-García, Fernanda Piña-Quintero,and Martha Ortiz-Posadas

Imbalanced Data Classification Using a Relevant Information-BasedSampling Approach. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 280

Keider Hoyos, Jorge Fernández, Beatriz Martinez, Óscar Henao,Álvaro Orozco, and Genaro Daza

Economic Feasibility of Projects Using Triangular Fuzzy Numbers . . . . . . . . 288Marieta Peña Abreu, Carlos R. Rodríguez Rodríguez,Roberto García Vacacela, and Pedro Y. Piñero Pérez

Variable Selection for Journal Bearing Faults DiagnosticThrough Logical Combinatorial Pattern Recognition . . . . . . . . . . . . . . . . . . 299

Joel Pino Gómez, Fidel E. Hernández Montero,and Julio C. Gómez Mancilla

Signals Analysis and Processing

Electroencephalographic Signals and Emotional Statesfor Tactile Pleasantness Classification . . . . . . . . . . . . . . . . . . . . . . . . . . . . 309

Miguel A. Becerra, Edwin Londoño-Delgado, Sonia M. Pelaez-Becerra,Andrés Eduardo Castro-Ospina, Cristian Mejia-Arboleda,Julián Durango, and Diego H. Peluffo-Ordóñez

Multi-horizon Scalable Wind Power Forecast System . . . . . . . . . . . . . . . . . 317Camilo Valenzuela, Héctor Allende, and Carlos Valle

Multiple Instance Learning Selecting Time-Frequency Featuresfor Brain Computing Interfaces . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 326

Julian Caicedo-Acosta, Luisa Velasquez-Martinez,David Cárdenas-Peña, and Germán Castellanos-Dominguez

XIV Contents

Sub Band CSP Using Spatial Entropy-Based Relevance in MI Tasks. . . . . . . 334Camilo López-Montes, David Cárdenas-Peña,and Germán Castellanos-Dominguez

A New Approach for Fault Diagnosis of Industrial ProcessesDuring Transitions . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 342

Danyer L. Acevedo-Galán, Marcos Quiñones-Grueiro,Alberto Prieto-Moreno, and Orestes Llanes-Santiago

Detecting EEG Dynamic Changes Using Supervised Temporal Patterns . . . . . 351Luisa F. Velasquez-Martinez, F. Y. Zapata-Castaño,David Cárdenas-Peña, and Germán Castellanos-Dominguez

Entropy-Based Relevance Selection of Independent ComponentsSupporting Motor Imagery Tasks . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 359

David Luna-Naranjo, David Cárdenas-Peña,and Germán Castellanos-Dominguez

Movement Identification in EMG Signals Using Machine Learning:A Comparative Study . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 368

Laura Lasso-Arciniegas, Andres Viveros-Melo, José A. Salazar-Castro,Miguel A. Becerra, Andrés Eduardo Castro-Ospina,E. Javier Revelo-Fuelagán, and Diego H. Peluffo-Ordóñez

Feature Extraction of Automatic Speaker Recognition, Analysisand Evaluation in Real Environment . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 376

Edward L. Campbell, Gabriel Hernández, and José Ramón Calvo

Author Index . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 385

Contents XV