Publications

Journal Papers

Accepted for Publication

• • D. B. Silva, D. R. Carvalho, C. N. Silla Jr. A Clustering-Based Computational Model to Group Students With Similar Programming Skills from Automatic Source Code Analysis Using Novel Features. IEEE Transactions on Learning Technologies. [To Appear]

2022

• • R. B. Mangolin, R. M. Pereira, A. S. Britto Jr., C. N. Silla Jr., V. D. Feltrim, D. B. Gonçalves & Y. M. G. Costa. A multimodal approach for multi-label movies genre classification. Multimedia Tools and Applications. Vol. 81, pp. 19071-19096, 2022. [Available Online]

2021

• • R. L. Aguiar, G. Maguolo, L. Nanni, Y. M. G. Costa & C. N. Silla Jr.  On the Importance of Passive Acoustic Monitoring Filters. Journal of Marine Science and Engineering. , Vol. 9 (7), pp. 1-14, 2021. [PDF]

  • R. M. Pereira, Y. M. G. Costa & C. N. Silla Jr. Handling imbalance in hierarchical classification problems using local classifiers approaches. Data Mining and Knowledge Discovery. Vol. 35, pp. 1564-1621. [Available Online]

  • R. M. Pereira, Y. M. G. Costa & C. N. Silla Jr. Toward Hierarchical Classification of Imbalanced Data using Random Resampling Algorithms. Information Sciences.  Vol. 578, pp. 344-363, 2021. [PDF]

2020

• • L. Nanni, Y. M. G. Costa, R. L. Aguiar, R. B. Mangolin, S. Brahnam & C. N. Silla Jr. Ensemble of convolutional neural networks to improve animal audio classification. EURASIP Journal on Audio Speech and Music Processing, Vol. 2020, pp. 1-14, 2020. [PDF]

  • L. Mengareli, B. Kostiuk, J. G. Vitorio, M. A. Tibola, W. Wolff & C. N. Silla Jr. OMR metrics and evaluation: a systematic review. Multimedia Tools and Applications. Vol. 79, pp. 6383-6408, 2020. [PDF]

• • R. M. Pereira, D. Bertolini, L. Teixeira,  C. N. Silla Jr. & Y. M. G. Costa. COVID-19 identification in chest X-ray images on flat and hierarchical classification scenarios. Computer Methods and Programs in Biomedicine. Vol. 194, 2020. [PDF]

  • R. M. Pereira, Y. M. G. Costa & C. N. Silla Jr. MLTL: A multi-label approach for the Tomek Link undersampling algorithm. Neurocomputing. Vol. 383, pp. 95-105, 2020. [PDF]

2018

• • G. M. Bressan, J. M. A. Bernardi & C. N. Silla Jr. A Fuzzy-based Approach for the Latin Musical Genres Intelligent Classification. Advances in Mathematical Sciences and Applications, Vol. 27 (1), pp. 65-80, 2018.  [PDF]

  • L. Nanni, R. L. Aguiar, Y. M. G. Costa, S. Brahnam, C. N. Silla Jr., R. L. Brattin & Z. Zhao. Bird and Whale Species Identification Using Sound Images. IET Computer Vision.   Vol. 12 (2), pp. 178-184, 2018. [PDF]

  • L. Nanni, Y. M. G. Costa, R. L. Aguiar, C. N. Silla Jr. & S. Brahnam. Ensemble of deep learning, visual and acoustic features for music genre classification.  Journal of New Music Research.  Vol. 47, pp. 383-397, 2018. [PDF]

2017

• • L. Nanni, Y. M. G. Costa, D. Lucio, C. N. Silla Jr. & S. Brahnam. Combining Visual and Acoustic Features for Audio Classification Tasks. Pattern Recognition Letters, Vol. 88, pp. 49-56, 2017.  [PDF]

• R. Correia Junior, L. C. M. Loyola Filho, C. Carvilhe & C. N. Silla Jr. A Utilização de tecnologias da informação e comunicação para o ensino de violão. InterSaberes Revista Científica. Vol. 2, pp. 68-83, 2017. [PDF]

• Y. M. G. Costa, L. E. S. Oliveira & C. N. Silla Jr. An Evaluation of Convolutional Neural Networks for Music Classification Using Spectrograms. Applied Soft Computing. Vol. 52, pp. 28 - 38, 2017. [PDF]

2015

• • C. L. dos Santos & C. N. Silla Jr. The Latin Music Mood Database. EURASIP Journal on Audio, Speech and Music Processing, Article ID: 23, 2015. [PDF]

• D. F. Barbosa, C. N. Silla Jr. & A. Y. Kashiwabara. Aplicação do Rank-Based Ant System ao problema de múltiplos caixeiros viajantes no atendimento de ordens de serviço nas empresas de distribuição de energia elétrica. iSys: Revista Brasileira de Sistemas de Informação, Vol. 8,  No. 4, pp. 5 - 43, 2015. [PDF]

2014

• • R. P. Ribeiro, M. A. P. Almeida & C. N. Silla Jr. The Ethnic Lyrics Fetcher Tool. EURASIP Journal on Audio, Speech and Music Processing, Article ID: 27, 2014. [PDF]

2013

• • H. B. Borges, C. N. Silla Jr. & J. C. Nievola. An Evaluation of Global-Model Hierarchical Classification Algorithms for Hierarchical Single Path of Labels Problems. Computers & Mathematics with Applications, v. 66, No. 10, pp. 1991 - 2002, 2013. [Available online here]

2011

• • C. N. Silla Jr. & A. A. Freitas. A survey of hierarchical classification across different application domains. Data Mining and Knowledge Discovery. Vol. 22, No. 1-2, pp. 31-72, 2011. [Available online here] [Pre-Print PDF].

  • C. N. Silla Jr. & A. A. Freitas. Selecting different protein representations and classification algorithms in hierarchical protein function prediction. Intelligent Data Analysis Journal. Vol. 15, No. 6, pp. 979-999, 2011. [Available online here] [Pre-Print PDF]. 

2010

• • T. Lidy, C. N. Silla Jr., O. Cornelis, F. Gouyon, A. Rauber, C. A. A. Kaestner & A. L. Koerich.  On the Suitability of State-of-the-Art Music Information Retrieval Methods for Analyzing, Categorizing, Structuring and Accessing Non-Western and Ethnic Music Collections. Signal Processing. Vol. 90, No. 4, pp. 1032-1048, 2010. ISSN 0165-1684. [Available online here] [PDF].

2009

• • C. N. Silla Jr., A. L. Koerich & C. A. A. Kaestner. A Feature Selection Approach for Automatic Music Genre Classification. International Journal of Semantic Computing, Vol.3, No.2, pp.183-208, 2009. ISSN 1793-351X. [PDF]

2008

• • C. N. Silla Jr., A. L. Koerich & C. A. A. Kaestner. A Machine Learning Approach to Automatic Music Genre Classification. Journal of the Brazilian Computer Society. Vol.14 No.3, pp.7-18, September 2008. ISSN 0104-6500. [PDF]

Conference Papers

2021

• • C. N. Silla Jr. Teaching Entrepreneurship for Computer Science and Engineering Students Using Active Learning Pedagogical Strategies. 51th Annual Frontiers in Education (FIE) Conference, 2021. [To Appear]

  • G. H. M. Moro, A. Vermonde, A. F. Mittelbach, B. A. Silva, B. Campagnolo, C. R. V. Carvilhe, J. G. L. Noronha Filho, M. P. N. Silva & C. N. Silla Jr. Using Discord as an Extension of the Emergency Remote Teaching Classroom during the COVID-19 pandemic. 51th Annual Frontiers in Education (FIE) Conference, 2021. [To Appear]

  • A. L. J. Seletti & C. N. Silla Jr. An Analysis of Feature Selection Techniques For COVID-19 Detection on Chest X-Ray Data.  21th IEEE International Conference on BioInformatics and BioEngineering (BIBE), 2021. [To Appear]

  • F. K. H. Barros, A. L. J. Seletti, V. A. P. Queiroz, R. M. Pereira & C. N. Silla Jr. Analyzing the Impact of Resampling Approaches on Chest X-Ray Images for COVID-19 Identification in a Local Hierarchical Classification Scenario. 21th IEEE International Conference on BioInformatics and BioEngineering (BIBE), 2021. [To Appear]

2020

• • D. B. Silva & C. N. Silla Jr. Evaluation of Students Programming Skills on a Computer Programming Course with a Hierarchical Clustering Algorithm. 50th Annual Frontiers in Education (FIE) Conference, 2020. [PDF]

  • L. G. Catharin, R. P. Ribeiro, C. N. Silla Jr., Y. M. G. Costa, V. D. Feltrim. Multimodal Classification of Emotions in Latin Music. IEEE International Symposium on Multimedia (ISM), 2020. [PDF]

2019

• • B. Kostiuk, Y. M. G. Costa, A. S. Britto Jr., X. Hu, C. N. Silla Jr. Multi-label Emotion Classification in Music Videos Using Ensembles of Audio and Video Features. 31st International Conference on Tools with Artificial Intelligence (ICTAI). Portland, Oregon, USA, 2019.  [PDF]

  • G. Z. Felipe, R. L. Aguiar, Y. M. G. Costa, C. N. Silla Jr., S. Brahnam, L. Nanni & S. McMurtrey. Identification of Infants' Cry Motivation Using Spectrograms. 26th International Conference on Systems, Signals and Image Processing (IWSSIP). Osijek, Croacia, 2019. [PDF]

  • L. H. Pereira, C. N. Silla Jr. & J. C. Nievola. Local Hierarchical Classification Techniques Analysis Using Attribute Selection for Protein Function Prediction. 6th Annual Conference on Computational Science & Comutational Intelligence (CSCI). Las Vegas, Nevada, USA, 2019. [PDF]

  • R. M. Pereira, R. L. Aguiar, Y. M. G. Costa, A. S. Britto Jr., L. S. Oliveira & C. N. Silla Jr. Representation Learning vs. Handcrafted Features for Music Genre Classification. 31st International Joint Conference on Neural Networks (IJCNN). Budapest, Hungary, 2019. [PDF]

  • D. B. Silva, R. L. Aguiar, D. S. Deconto & C. N. Silla Jr. Recent Studies about teaching algorithms (CS1) and data structures (CS2) for computer science students. 49th Annual Frontiers in Education (FIE) Conference. Cincinnati, OH, USA, 2019. [PDF]

2018

• • V. D. Valerio, R. M. Pereira, Y. M. G. Costa, D. Bertolini & C. N. Silla Jr. A Resampling Approach for Imbalanceness on Music Genre Classification Using Spectrograms. 31th International Florida Artificial Intelligence Research Society (FLAIRS) Conference.  Melbourne, FL, USA, 2018. [PDF]

  • R. L. Aguiar, Y. M. G. Costa, C. N. Silla Jr. Exploring Data Augmentation to Improve Music Genre Classification with ConvNets. 31st International Joint Conference on Neural Networks (IJCNN). Rio de Janeiro, Brazil, 2018. [PDF]

  • R. M. Pereira, F. Silva & C. N. Silla Jr. Teaching Algorithms for Visually Impaired and Blind Students Using Physical Flowcharts and Screen Readers. 48th Annual Frontiers in Education (FIE) Conference. San Jose, CA, USA, 2018. [PDF]

  • R. M. Pereira, Y. M. G. Costa, C. N. Silla Jr. Dealing with Imbalanceness in Hierarchical Multi-Label Datasets Using Multi-Label Resampling Techniques. 30th International Conference on Tools with Artificial Intelligence (ICTAI). Volos, Greece, 2018. [PDF]

  • C. N. Silla Jr., A. L. Przybysz, A. Rivolli, T. Gimenez, C. Barroso, J. Pereira. Girls, Music and Computer Science. 48th Annual Frontiers in Education (FIE) Conference. San Jose, CA, USA, 2018. [PDF]

2017

• • D. G. Correa, F. Enembreck & C. N. Silla Jr. An Investigation of the Hoeffding Adaptive Tree for the Problem of Network Intrusion Detection. 30th International Joint Conference on Neural Networks (IJCNN).  Anchorage, Alaska, USA, pp. 4065-4072, 2017. [PDF]

  • L. Martiniano & C. N. Silla Jr. BIRITS: A Music Information Retrieval System Using Query-by-Playing Techniques. Accepted for publication in the IEEE International Conference on Tools with Artificial Intelligence (ICTAI).  Boston, MA, USA, 2017. [To Appear]

• R. M. Pereira & C. N. Silla Jr. Using Simplified Chords Sequences to Classify Songs Genres. 18th IEEE International Conference on Multimedia & Expo (ICME).  Hong Kong, pp. 1446-1451, 2017. [PDF]

2016

• C. N. Silla Jr., M. Paglione & I. G. P. Mardegan. jOthelloT: A Java-Based Open Source Othello Framework for Artificial Intelligence Undergraduate Classes. 46th Annual Frontiers in Education (FIE) Conference. Erie, PA, USA, 2016. [PDF] [Software] 

• C. N. Silla Jr., A. L. Przybysz & W. V. Leal. Music Education Meets Computer Science and Engineering Education. 46th Annual Frontiers in Education (FIE) Conference. Erie, PA, USA, 2016. [PDF] 

• C. N. Silla Jr. Teaching Genetic Algorithm-based Parameter Optimization Using Pacman. 46th Annual Frontiers in Education (FIE) Conference.  Erie, PA, USA, 2016. [PDF] 

• J. V. Ramos, A. S. Ramos, C. N. Silla Jr. & D. S. Sanches. An Evaluation of Different Evolutionary Approaches Applied in the Process of Automatic Transcription of Music Scores Into Tablatures. 28th IEEE International Conference on Tools with Artificial Intelligence (ICTAI). San Jose, CA, USA, pp. 663-669, 2016. [PDF] 

• L. Nanni, Y. M. G. Costa, D. Lucio, C. N. Silla Jr. & S. Brahnam. Combining Visual and Acoustic Features for Bird Species Classification. 28th IEEE International Conference on Tools with Artificial Intelligence (ICTAI). San Jose, CA, USA, pp. 396-401, 2016. [PDF]

2015

• • A. L. Przybysz, R. Corassa, C. L. dos Santos & C. N. Silla Jr. Latin Music Mood Classification Using Cifras. IEEE International Conference on Systems, Man and Cybernetics (SMC). Hong Kong, pp. 1682-1686, 2015. [PDF]

  • D. F. Barbosa, C. N. Silla Jr. & A. Y. Kashiwabara. Aplicação da otimização por colônia de formigas ao problema de múltiplos caixeiros viajantes no atendimento de ordens de serviço nas empresas de distribuição de energia elétrica. 11th Brazilian Symposium on Information Systems (SBSI), Goiania, Brazil, pp. 23-30, 2015. [PDF]

• J. V. F. da Silva, C. N. Silla Jr. & A. Y. Kashiwabara. Adicionando informações estruturadas ao Bulário Eletrônico da ANVISA. 11th Brazilian Symposium on Information Systems (SBSI), Goiania, Brazil, pp. 517-524, 2015. [PDF]

  • J. V. Ramos, A. S. Ramos, C. N. Silla Jr. & D. S. Sanches. Avaliação entre diferentes abordagens evolutivas para o processo de transcrição automática de tablaturas. XLVII Simpósio Brasileiro em Pesquisa Operacional (SBPO), Porto de Galinhas, Brazil, pp. 1766-1777, 2015. [PDF]

• J. V. Ramos, A. S. Ramos, C. N. Silla Jr. & D. S. Sanches. Comparative study of Genetic Algorithm and Ant Colony Optimization algorithm performances for the task of guitar tablature transcription. 4th Brazilian Conference on Intelligent Systems (BRACIS), Natal, Brazil, pp. 228-233, 2015. [PDF]

• M. L. G. Martins & C. N. Silla Jr. Irish Traditional Ethnomusicology Analysis Using Decision Trees and High Level Symbolic Features. 12th Sound and Music Computing Conference (SMC), Maynooth, Ireland, pp. 455-462, 2015. [PDF]

• V. A. Gobetti, R. W. Dantas, T. Gimenez & C. N. Silla Jr. Mobile Keyboard Ninja. XIV Simpósio Brasileiro de Jogos e Entretenimento Digital (SBGames), Teresina, Brazil, pp. 786-793, 2015. [PDF]

2014

• • A. A. Lima, R. M. Nunes, R. P. Ribeiro & C. N. Silla Jr. Nordic Music Genre Classification Using Song Lyrics. 19th International Conference on Applications of Natural Languange to Information Systems (NLDB). Lecture Notes in Computer Science. Vol. 3878. pp. 89-100. Montpellier, France, 2014. [PDF]

  • T. L. F. Evangelista, T. M. Priolli, C. N. Silla Jr., B. A. Angelico & C. A. A. Kaestner. Automatic Segmentation of Audio Signals for Bird Species Identification. 16th IEEE International Symposium on Multimedia (ISM), Taichung, Taiwan, pp. 223-228, 2014. [PDF]

  • M. A. P. Terrin, C. N. Silla Jr. & P. H. Bugatti. Utilizando Técnicas de Mineração de Dados Para Apoiar a Busca Ativa de Famílias em Situação de Vulnerabilidade e Risco Social.  XLI Seminário Integrado de Software e Hardware (SEMISH). Brasília, Brazil, pp. 1051-1062, 2014. [PDF]

  • J. M. A. Bernardi, M. H. S. de Andrade, G. M. Bressan & C. N. Silla Jr. Classificação Automática de Gêneros Musicais Latinos Utilizando Sistemas Fuzzy. Encontro Nacional de Inteligência Artificial e Computacional (ENIAC). São Carlos, Brazil, pp. 74-78, 2014. [PDF]

2013

• • H. C. B. Piccoli, C. N. Silla Jr., P. J. P. Leon  & A. Pertusa. An Evaluation of Symbolic Feature Sets and Their Combination for Music Genre Classification. IEEE International Conference on Systems, Man and Cybernetics (SMC). Manchester, UK, pp. 1901-1905, 2013. [PDF]

  • C. N. Silla Jr. & C. A. A. Kaestner. Hierarchical Classification of Bird Species using their Audio Recorded Songs. IEEE International Conference on Systems, Man and Cybernetics (SMC). Manchester, UK, pp. 1895-1900, 2013. [PDF]

2011

• • M. T. Lopes, C. N. Silla Jr., A. L. Koerich & C. A. A. Kaestner. Feature Set Comparison for Automatic Bird Species Identification. IEEE International Conference on Systems, Man and Cybernetics (SMC). Anchorage, AK, USA, pp. 965-970, October 2011. [PDF]

  • M. T. Lopes, L. L. Gioppo, T. Higushi, C. N. Silla Jr., A. L. Koerich & C. A. A. Kaestner. Automatic Bird Species Identification for Large Number of Species. 13th IEEE International Symposium on Multimedia (ISM), Dana Point, CA, USA, pp. 117-122, 2011. [PDF]

  • J. C. Xavier-Junior, A. M. P. Canuto, A. A. Freitas, L. M. G. Gonçalves & C. N. Silla Jr. A Hierarchical Approach to Represent Relational Data Applied to Clustering Tasks. International Joint Conference on Neural Networks. San Jose, CA, USA, pp. 3055-3062, 2011. [PDF]

2010

• • C. N. Silla Jr., A. L. Koerich & C. A. A. Kaestner. Improving Automatic Music Genre Classification With Hybrid Content-Based Feature Vectors. ACM SAC 2010 - Information Access and Retrieval Track, Sierre, Switzerland, pp. 1702-1707, March 2010. [PDF]

2009

• • C. N. Silla Jr. & A. A. Freitas. A Global-Model Naive Bayes Approach to the Hierarchical Prediction of Protein Functions. IEEE International Conference on Data Mining (ICDM). Miami, FL, USA, pp. 992-997, December 2009. [PDF] The datasets used in this work are available here: [Datasets].

  • C. N. Silla Jr. & A. A. Freitas. Novel Top-Down Approaches for Hierarchical Classification and Their Application to Automatic Music Genre Classification. IEEE International Conference on Systems, Man and Cybernetics (SMC). San Antonio, TX, USA, pp. 3499-3504, October 2009. [PDF]

2002-2008

• • C. N. Silla Jr., A. L. Koerich & C. A. A. Kaestner. The Latin Music Database. 9th International Conference on Music Information Retrieval (ISMIR), Philadelphia, PA, USA. pp.451-456, September 2008. [PDF]

  • C. N. Silla Jr., A. L. Koerich & C. A. A. Kaestner. Feature Selection in Automatic Music Genre Classification. 10th IEEE International Symposium on Multimedia (ISM), Berkeley, CA, USA, pp.39-44, December 2008, ISBN 978-0-7695-3454-1. [PDF]

  • C. N. Silla Jr., C. A. A. Kaestner & A. L. Koerich. Automatic Music Genre Classification Using Ensemble of Classifiers. IEEE International Conference on Systems, Man and Cybernetics (SMC), Montreal, Canada, pp.1687-1692, October 2007. ISSN/ISBN 1424409918. [PDF]

  • C. N. Silla Jr., C. A. A. Kaestner & A. L. Koerich. The Latin Music Database: Uma Base de Dados para a Classificação Automática de Gêneros Musicais. 11th Brazilian Symposium on Computer Music (SBCM), São Paulo, Brazil, pp.167-174, September 2007. ISBN 97885886971-3-3. [PDF]

  • J. Strunk, C. N. Silla Jr. & C. A. A. Kaestner. A Comparative Evaluation of a New Unsupervised Sentence Boundary Detection Approach on Documents in English and Portuguese. 7th International Conference on Intelligent Text Processing and Computational Linguistics (CICLing), 2006, Mexico City. Lecture Notes in Computer Science. Vol. 3878. pp. 132-143. [PDF]

  • C. N. Silla Jr., C. A. A. Kaestner & A. L. Koerich. Automatic Genre Classification of Latin Music Using Ensemble of Classifiers. XXXIII Seminário Integrado de Software e Hardware (SEMISH), Campo Grande, MS, pp.47-53, Julho 2006. ISBN 85-7669-074-8. [PDF]

  • C. N. Silla Jr., C. A. A. Kaestner & A. L. Koerich. Time-Space Ensemble Strategies for Automatic Music Genre Classification. International Joint Conference X Ibero-American Artificial Intelligence Conference (IBERAMIA) and XVIII Brazilian Artificial Intelligence Symposium (SBIA), Ribeirão Preto, SP, Brazil. Lecture Notes in Computer Science, Vol.4140, pp.339-348, October 2006. ISBN 978-3-540-45462-5. [PDF]

  • C. N. Silla Jr., C. A. A. Kaestner & A. L. Koerich. Classificação Automática de Gêneros Musicais Utilizando Métodos de Bagging e Boosting. In: 10th Brazilian Symposium on Computer Music (SBCM), 2005, Belo Horizonte, Brazil, pp. 48-57, 2005. [PDF]

  • C. N. Silla Jr. & C. A. A. Kaestner. An Analysis of Sentence Boundary Detection Systems for English and Portuguese Documents. In: Fifth International Conference on Intelligent Text Processing and Computational Linguistics - CICLing, 2004, Seoul. Computational Linguistics and Intelligent Text Processing. Lecture Notes in Computer Science. Heidelberg : Springer Verlag, 2004. v. 2945. p. 135-141. [PDF]

  • L. H. M. Rino, T. A. S. Pardo, C. N. Silla Jr., C. A. A. Kaestner & M. Pombo. A Comparison of Automatic Summarizers of Texts in Brazilian Portuguese. In: XVII Brazilian Symposium on Artificial Intelligence - SBIA'04, 2004, São Luís. Advances in Artificial Intelligence. Lecture Notes in Artificial Intelligence. Heidelberg : Springer Verlag, 2004. v. 3171. p. 235-244. [PDF]

  • C. N. Silla Jr., A. G. Hochuli & C. A. A. Kaestner. Proposta de uma Plataforma para Extração e Sumarização Automática de Informações em Ambiente Web. In: 2º Workshop em Tecnologia da Informação e Linguagem Humana (TIL), 2004, Salvador. Anais do XXIV Congresso da Sociedade Brasileira de Computação. São Paulo : TecArt, 2004. v. 1. p. 189-189. [PDF]

  • C. N. Silla Jr., G. L. Pappa, A. A. Freitas & C. A. A. Kaestner. Automatic Text Summarization with Genetic Algorithm-Based Attribute Selection. In: IX Ibero-American Conference on Artificial Intelligence, 2004, Tonantzintla. Lecture Notes in Artificial Intelligence. Heidelberg : Springer Verlag, 2004. v. 3315. p. 305-314. [PDF]

  • C. N. Silla Jr. & C. A. A. Kaestner. kNNSumm: Um Sumarizador Automático de Documentos Utilizando Aprendizado Baseado em Instâncias. In: Congresso Argentino de Ciencias de la Computacion, 2004, La Matanza. Anais do X Congresso Argentino de Ciencias de la Computación, 2004. p. 1745-1754. [PDF]

  • R. E. R. Christ, T. Bassani, J. C. Nievola & C. N. Silla Jr. The Use of ART2 to Create Summaries from Texts of Different Areas. In: Congresso Argentino de Ciencias de la Computación, 2004, La Matanza. Anais do X Congresso Argentino de Ciencias de la Computación, 2004. p. 1927-1932. [PDF]

  • C. N. Silla Jr., J. D. Valle Jr. & C. A. A. Kaestner. Detecção Automática de Sentenças Com o Uso de Expressões Regulares. In: III Congresso Brasileiro de Computação, 2003, Itajaí. Anais do III Congresso Brasileiro de Computação. Itajaí, 2003. p. 548-560. [PDF]

  • C. N. Silla Jr. & C. A. A. Kaestner. Segmentação Textual Automática em Sentenças de Documentos em Português. In: 1º Workshop em Tecnologia da Informação e Linguagem Humana (TIL), 2003, São Carlos. Anais do 1º. Workshop em Tecnologia da Informação e Linguagem Humana, 2003. v. 1. p. 1-10. [PDF]

  • C. N. Silla Jr., C. A. A. Kaestner & A. A. Freitas. A Non-Linear Topic Detection Method for Text Summarization Using Wordnet. In: 1º Workshop em Tecnologia da Informação e Linguagem Humana (TIL), 2003, São Carlos. Anais do 1º. Workshop em Tecnologia da Informação e Linguagem Humana, 2003. v. 1. p. 1-8. [PDF]

  • C. N. Silla Jr. & C. A. A. Kaestner. Estudo de Métodos Automáticos para Sumarização de Textos. In: Simpósio de Tecnologias de Documentos, 2002, São Paulo. Anais do STD 2002. São Paulo : ITS, 2002. v. 1. p. 45-49. [PDF]

Extended Abstracts

• • S. Howard, C. N. Silla Jr. & Colin G. Johnson. Automatic Lyrics-Based Music Genre Classification in a Multilingual Setting. In: 13th Brazilian Symposium on Computer Music (SBCM), 2011. To appear. [PDF]

  • M. T. Lopes, C. A. A. Kaestner, C. N. Silla Jr. & A. L. Koerich. Identificação Automática de Espécies de Pássaros a partir da Análise do Canto. In: 13th Brazilian Symposium on Computer Music (SBCM), 2011. To appear. [PDF]

Abstracts

• • C. A. A. Kaestner, C. P. L. Gouvêa & C. N. Silla Jr. Ambiente Automatizado Para Extração Inteligente de Informações e Sumarização de Documentos WWW.  In: XIII Seminário de Iniciação Científica, 2005, Curitiba. Caderno de Resumos do XIII Seminário de Iniciação Científica e VII Mostra de Pesquisa da PUCPR. Curitiba : Editora Universitária Champagnat, 2005. p. 57. [PDF]

  • C. A. A. Kaestner, C. N. Silla Jr. & A. G. Hochuli. Estudo Sobre Extração Inteligente de Informações Utilizando Aprendizado de Máquina. In: XII Seminário de Iniciação Científica, 2004, Curitiba. Caderno de Resumos do XII Seminário de Iniciação Científica e VI Mostra de Pesquisa da PUCPR. Curitiba : Editora Universitária Champagnat, 2004. p. 15. [PDF]

  • C. A. A. Kaestner, A. G. Hochuli & C. N. Silla Jr. Estudo Sobre Sumarização de Documentos WWW. In: XII Seminário de Iniciação Científica, 2004, Curitiba. Caderno de Resumos do XII Seminário de Iniciação Científica e VI Mostra de Pesquisa da PUCPR. Curitiba : Editora Universitária Champagnat, 2004. p. 16. [PDF]

  • C. A. A. Kaestner & C. N. Silla Jr. Contribuição ao Estudo de Técnicas Para a Sumarização Automática de Textos. In: XI Seminário de Iniciação Científica, 2003, Curitiba. Caderno de Resumos do XI Seminário de Iniciação Científica. Curitiba : Editora Universitária Champagnat, 2003. p. 20.  [PDF]

  • C. A. A. Kaestner, A. R. Ferreira & C. N. Silla Jr. Sumarização de Textos Utilizando a Abordagem de Aprendizado de Máquina e Características Extraídas do Wordnet. In: V Mostra de Pesquisa da PUCPR, 2003, Curitiba. Caderno de Resumos da V Mostra de Pesquisa da PUCPR. Curitiba : Editora Universitária Champagnat, 2003. p. 23. [PDF]