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Carlos Nascimento Silla Jr.
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- affiliation: Pontifical Catholic University of Paraná, Brazil
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2020 – today
- 2024
- [j20]Davi Bernardo Silva, Deborah Ribeiro Carvalho, Carlos N. Silla:
A Clustering-Based Computational Model to Group Students With Similar Programming Skills From Automatic Source Code Analysis Using Novel Features. IEEE Trans. Learn. Technol. 17: 428-444 (2024) - [c54]Cláudio Carvilhe, Christopher Hernandez, Lucas Adamo, Carlos Nascimento Silla Jr.:
Teaching Introductory Game Audio to Undergraduate Students Using a Novel Digital Game Template. CSEDU (1) 2024: 178-189 - [c53]Luiz V. Leão, Douglas C. de Souza, Tiago J. D. Souza, Artur G. Hauache, Eduardo W. Stival, Carlos Nascimento Silla Jr.:
Disability Racer: A Digital Game for Raising Awareness of Ophthalmological: Related Issues. CSEDU (1) 2024: 190-201 - 2023
- [c52]Isabela M. Montingelli, Andreia Malucelli, Sheila S. Reinehr, Carlos N. Silla:
Bringing More Girls to STEM: Initiatives within the Frontiers in Education Conference. FIE 2023: 1-8 - [c51]Gláucio H. M. Moro, Cláudio Carvilhe, Bruno C. de Paula, Carlos N. Silla:
Learning Game Programming Through Narrative, Sound Effects, and Music in Text-Based Games: A Creative Approach to Digital Game Education. FIE 2023: 1-8 - [c50]Diogo Steinke Deconto, Erick Luiz Fontoura Valenga, Carlos N. Silla:
Automatic Music Score Difficulty Classification. IWSSIP 2023: 1-5 - [c49]Cinthya Oestreich Silva, Renato Tateiwa Suguiy, Carlos N. Silla:
An Investigation of Different Positive and Negative Training Policies for the Task of Hierarchical Music Genre Classification. IWSSIP 2023: 1-5 - [c48]Matheus H. C. Sudul, Rafael de Lima Aguiar, Yandre M. G. Costa, Sheryl Brahnam, Shannon McMurtrey, Loris Nanni, Carlos N. Silla:
Automatic Classification of Infant's Cry Using Data Balancing and Hierarchical Classification Techniques. IWSSIP 2023: 1-5 - [c47]João G. Vitório, Alceu de Souza Britto Junior, Yandre M. G. Costa, Carlos N. Silla:
Multi-Modal Music Mood Classification with Dynamic Classifier Selection. IWSSIP 2023: 1-5 - [c46]João G. Vitório, Carlos N. Silla:
Music Recommendation System for Shared Environments. IWSSIP 2023: 1-5 - 2022
- [j19]Rafael B. Mangolin, Rodolfo Miranda Pereira, Alceu S. Britto Jr., Carlos N. Silla, Valéria Delisandra Feltrim, Diego Bertolini, Yandre M. G. Costa:
A multimodal approach for multi-label movie genre classification. Multim. Tools Appl. 81(14): 19071-19096 (2022) - 2021
- [j18]Rodolfo Miranda Pereira, Yandre M. G. Costa, Carlos N. Silla:
Handling imbalance in hierarchical classification problems using local classifiers approaches. Data Min. Knowl. Discov. 35(4): 1564-1621 (2021) - [j17]Rodolfo Miranda Pereira, Yandre M. G. Costa, Carlos Nascimento Silla Jr.:
Toward hierarchical classification of imbalanced data using random resampling algorithms. Inf. Sci. 578: 344-363 (2021) - [c45]Fábio K. H. de Barros, André L. Jeller Selleti, Vinícius A. P. Queiroz, Rodolfo Miranda Pereira, Carlos N. Silla:
Analyzing the Impact of Resampling Approaches on Chest X-Ray Images for COVID-19 Identification in a Local Hierarchical Classification Scenario. BIBE 2021: 1-6 - [c44]André L. Jeller Selleti, Carlos N. Silla:
An Analysis of Feature Selection Techniques For COVID-19 Detection on Chest X-Ray Data. BIBE 2021: 1-6 - [c43]Gláucio H. M. Moro, Anderson Vermonde, Artur Mittelbach, Breno Azevedo, Bruno Campagnolo, Cláudio Carvilhe, Jose G. Noronha Filho, Mauricio Perin, Carlos N. Silla:
Using Discord as an Extension of the Emergency Remote Teaching Classroom during the COVID-19 pandemic. FIE 2021: 1-9 - [c42]Carlos N. Silla:
Teaching Entrepreneurship for Computer Science and Engineering Students Using Active Learning Pedagogical Strategies. FIE 2021: 1-6 - 2020
- [j16]Rodolfo Miranda Pereira, Diego Bertolini, Lucas O. Teixeira, Carlos Nascimento Silla Jr., Yandre M. G. Costa:
COVID-19 identification in chest X-ray images on flat and hierarchical classification scenarios. Comput. Methods Programs Biomed. 194: 105532 (2020) - [j15]Loris Nanni, Yandre M. G. Costa, Rafael de Lima Aguiar, Rafael B. Mangolin, Sheryl Brahnam, Carlos N. Silla:
Ensemble of convolutional neural networks to improve animal audio classification. EURASIP J. Audio Speech Music. Process. 2020(1): 8 (2020) - [j14]Rodolfo Miranda Pereira, Yandre M. G. Costa, Carlos Nascimento Silla Jr.:
MLTL: A multi-label approach for the Tomek Link undersampling algorithm. Neurocomputing 383: 95-105 (2020) - [j13]Luciano Mengarelli, Bruno Kostiuk, João G. Vitório, Maicon A. Tibola, William Wolff, Carlos N. Silla:
OMR metrics and evaluation: a systematic review. Multim. Tools Appl. 79(9-10): 6383-6408 (2020) - [c41]Davi Bernardo Silva, Carlos N. Silla:
Evaluation of students programming skills on a computer programming course with a hierarchical clustering algorithm. FIE 2020: 1-9 - [c40]Leonardo Gabiato Catharin, Rafael P. Ribeiro, Carlos N. Silla, Yandre M. G. Costa, Valéria Delisandra Feltrim:
Multimodal Classification of Emotions in Latin Music. ISM 2020: 173-180 - [i2]Rodolfo Miranda Pereira, Diego Bertolini, Lucas O. Teixeira, Carlos Nascimento Silla Jr., Yandre M. G. Costa:
COVID-19 identification in chest X-ray images on flat and hierarchical classification scenarios. CoRR abs/2004.05835 (2020) - [i1]Rafael B. Mangolin, Rodolfo Miranda Pereira, Alceu S. Britto Jr., Carlos Nascimento Silla Jr., Valéria Delisandra Feltrim, Diego Bertolini, Yandre M. G. Costa:
A multimodal approach for multi-label movie genre classification. CoRR abs/2006.00654 (2020)
2010 – 2019
- 2019
- [c39]Davi Bernardo Silva, Rafael de Lima Aguiar, Diogo Steinke Dvconlo, Carlos N. Silla:
Recent Studies About Teaching Algorithms (CS1) and Data Structures (CS2) for Computer Science Students. FIE 2019: 1-8 - [c38]Bruno Kostiuk, Yandre M. G. Costa, Alceu de Souza Britto Jr., Xiao Hu, Carlos N. Silla:
Multi-label Emotion Classification in Music Videos Using Ensembles of Audio and Video Features. ICTAI 2019: 517-523 - [c37]Rodolfo Miranda Pereira, Yandre M. G. Costa, Rafael de Lima Aguiar, Alceu S. Britto Jr., Luiz E. S. Oliveira, Carlos N. Silla:
Representation Learning vs. Handcrafted Features for Music Genre Classification. IJCNN 2019: 1-8 - [c36]Gustavo Zanoni Felipe, Rafael de Lima Aguiar, Yandre M. G. Costa, Carlos N. Silla, Sheryl Brahnam, Loris Nanni, Shannon McMurtrey:
Identification of Infants' Cry Motivation Using Spectrograms. IWSSIP 2019: 181-186 - 2018
- [j12]Loris Nanni, Rafael de Lima Aguiar, Yandre M. G. Costa, Sheryl Brahnam, Carlos Nascimento Silla Jr., Ricky L. Brattin, Zhao Zhao:
Bird and whale species identification using sound images. IET Comput. Vis. 12(2): 178-184 (2018) - [c35]Rodolfo Miranda Pereira, Felippe Fernandes da Silva, Carlos N. Silla:
Teaching Algorithms for Visually Impaired and Blind Students using Physical Flowcharts and Screen Readers. FIE 2018: 1-9 - [c34]Carlos N. Silla, Andre L. Przybysz, Andriano Rivolli, Thayna Gimenez, Carolina Barroso, Jessika Machado:
Girls, Music and Computer Science. FIE 2018: 1-6 - [c33]Vinicius D. Valerio, Rodolfo Miranda Pereira, Yandre M. G. Costa, Diego Bertolini, Carlos Nascimento Silla Jr.:
A Resampling Approach for Imbalanceness on Music Genre Classification using Spectrograms. FLAIRS 2018: 500-505 - [c32]Rodolfo Miranda Pereira, Yandre Maldonado e Gomes da Costa, Carlos Nascimento Silla Jr.:
Dealing with Imbalanceness in Hierarchical Multi-Label Datasets Using Multi-Label Resampling Techniques. ICTAI 2018: 818-824 - [c31]Rafael de Lima Aguiar, Yandre M. G. Costa, Carlos Nascimento Silla Jr.:
Exploring Data Augmentation to Improve Music Genre Classification with ConvNets. IJCNN 2018: 1-8 - 2017
- [j11]Yandre M. G. Costa, Luiz S. Oliveira, Carlos Nascimento Silla Jr.:
An evaluation of Convolutional Neural Networks for music classification using spectrograms. Appl. Soft Comput. 52: 28-38 (2017) - [j10]Loris Nanni, Yandre M. G. Costa, Diego Rafael Lucio, Carlos Nascimento Silla Jr., Sheryl Brahnam:
Combining visual and acoustic features for audio classification tasks. Pattern Recognit. Lett. 88: 49-56 (2017) - [c30]Rodolfo Miranda Pereira, Carlos Nascimento Silla Jr.:
Using simplified chords sequences to classify songs genres. ICME 2017: 1446-1451 - [c29]Lucas Martiniano, Carlos N. Silla:
BIRITS: A Music Information Retrieval System Using Query-by-Playing Techniques. ICTAI 2017: 535-542 - [c28]Diego Guarnieri Correa, Fabrício Enembreck, Carlos N. Silla:
An investigation of the hoeffding adaptive tree for the problem of network intrusion detection. IJCNN 2017: 4065-4072 - 2016
- [c27]Carlos Nascimento Silla Jr.:
Teaching genetic algorithm-based parameter optimization using Pacman. FIE 2016: 1-6 - [c26]Carlos Nascimento Silla Jr., Andre L. Przybysz, Wellington V. Leal:
Music education meets computer science and engineering education. FIE 2016: 1-7 - [c25]Carlos Nascimento Silla Jr., Marcelo Paglioney, Iuri G. P. Mardegany:
jOthelloT: A java-based open source Othello framework for artificial intelligence undergraduate classes. FIE 2016: 1-7 - [c24]Loris Nanni, Yandre M. G. Costa, Diego Rafael Lucio, Carlos Nascimento Silla Jr., Sheryl Brahnam:
Combining Visual and Acoustic Features for Bird Species Classification. ICTAI 2016: 396-401 - [c23]Joao Victor Ramos, Andre Stylianos Ramos, Carlos Nascimento Silla Jr., Danilo Sipoli Sanches:
An Evaluation of Different Evolutionary Approaches Applied in the Process of Automatic Transcription of Music Scores into Tablatures. ICTAI 2016: 663-669 - 2015
- [j9]Carolina L. dos Santos, Carlos Nascimento Silla Jr.:
The Latin Music Mood Database. EURASIP J. Audio Speech Music. Process. 2015: 23 (2015) - [j8]Denilson Fagundes Barbosa, Carlos Nascimento Silla Jr., André Yoshiaki 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. Braz. J. Inf. Syst. 8(4): 5-43 (2015) - [c22]Joao Victor Ramos, Andre Stylianos Ramos, Carlos Nascimento Silla Jr., Danilo Sipoli Sanches:
Comparative Study of Genetic Algorithm and Ant Colony Optimization Algorithm Performances for the Task of Guitar Tablature Transcription. BRACIS 2015: 228-233 - [c21]Denilson Fagundes Barbosa, Carlos N. Silla, André 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 [Applying a variation of the ant colony optimization algorithm to solve the multiple traveling salesmen problem to route the teams of the electric power distribution companies]. SBSI 2015: 23-30 - [c20]Joao Vitor F. da Silva, Carlos N. Silla, André Y. Kashiwabara:
Adicionando informações estruturadas ao Bulário Eletrônico da ANVISA [Adding structured information to the ANVISA's "Bulario Eletronico"]. SBSI 2015: 517-524 - [c19]Andre L. Przybysz, Ricardo Corassa, Carolina L. dos Santos, Carlos Nascimento Silla Jr.:
Latin Music Mood Classification Using Cifras. SMC 2015: 1682-1686 - 2014
- [j7]Rafael P. Ribeiro, Murilo Almeida, Carlos Nascimento Silla Jr.:
The Ethnic Lyrics Fetcher tool. EURASIP J. Audio Speech Music. Process. 2014: 27 (2014) - [c18]Thiago L. F. Evangelista, Thales M. Priolli, Carlos Nascimento Silla Jr., Bruno A. Angelico, Celso A. A. Kaestner:
Automatic Segmentation of Audio Signals for Bird Species Identification. ISM 2014: 223-228 - [c17]Adriano A. de Lima, Rodrigo M. Nunes, Rafael P. Ribeiro, Carlos Nascimento Silla Jr.:
Nordic Music Genre Classification Using Song Lyrics. NLDB 2014: 89-100 - 2013
- [j6]Helyane Bronoski Borges, Carlos Nascimento Silla Jr., Júlio César Nievola:
An evaluation of global-model hierarchical classification algorithms for hierarchical classification problems with single path of labels. Comput. Math. Appl. 66(10): 1991-2002 (2013) - [c16]Carlos Nascimento Silla Jr., Celso A. A. Kaestner:
Hierarchical Classification of Bird Species Using Their Audio Recorded Songs. SMC 2013: 1895-1900 - [c15]Hanna C. B. Piccoli, Carlos Nascimento Silla Jr., Pedro J. Ponce de León, Antonio Pertusa:
An Evaluation of Symbolic Feature Sets and Their Combination for Music Genre Classification. SMC 2013: 1901-1905 - 2011
- [b1]Carlos Nascimento Silla Jr.:
Novel approaches for hierarchical classification with case studies in protein function prediction. University of Kent, Canterbury, UK, 2011 - [j5]Carlos Nascimento Silla Jr., Alex Alves Freitas:
A survey of hierarchical classification across different application domains. Data Min. Knowl. Discov. 22(1-2): 31-72 (2011) - [j4]Carlos Nascimento Silla Jr., Alex Alves Freitas:
Selecting different protein representations and classification algorithms in hierarchical protein function prediction. Intell. Data Anal. 15(6): 979-999 (2011) - [c14]João C. Xavier Junior, Anne M. P. Canuto, Alex Alves Freitas, Luiz M. G. Gonçalves, Carlos Nascimento Silla Jr.:
A hierarchical approach to represent relational data applied to clustering tasks. IJCNN 2011: 3055-3062 - [c13]Marcelo Teider Lopes, Lucas L. Gioppo, Thiago T. Higushi, Celso A. A. Kaestner, Carlos Nascimento Silla Jr., Alessandro L. Koerich:
Automatic Bird Species Identification for Large Number of Species. ISM 2011: 117-122 - [c12]Marcelo Teider Lopes, Carlos Nascimento Silla Jr., Alessandro Lameiras Koerich, Celso Antônio Alves Kaestner:
Feature set comparison for automatic bird species identification. SMC 2011: 965-970 - 2010
- [j3]Thomas Lidy, Carlos Nascimento Silla Jr., Olmo Cornelis, Fabien Gouyon, Andreas Rauber, Celso A. A. Kaestner, Alessandro L. Koerich:
On the suitability of state-of-the-art music information retrieval methods for analyzing, categorizing and accessing non-Western and ethnic music collections. Signal Process. 90(4): 1032-1048 (2010) - [c11]Carlos Nascimento Silla Jr., Alessandro L. Koerich, Celso A. A. Kaestner:
Improving automatic music genre classification with hybrid content-based feature vectors. SAC 2010: 1702-1707
2000 – 2009
- 2009
- [j2]Carlos Nascimento Silla Jr., Alessandro L. Koerich, Celso A. A. Kaestner:
A Feature Selection Approach for Automatic Music Genre Classification. Int. J. Semantic Comput. 3(2): 183-208 (2009) - [c10]Carlos Nascimento Silla Jr., Alex Alves Freitas:
A Global-Model Naive Bayes Approach to the Hierarchical Prediction of Protein Functions. ICDM 2009: 992-997 - [c9]Carlos Nascimento Silla Jr., Alex Alves Freitas:
Novel Top-Down Approaches for Hierarchical Classification and Their Application to Automatic Music Genre Classification. SMC 2009: 3499-3504 - 2008
- [j1]Carlos Nascimento Silla Jr., Alessandro L. Koerich, Celso A. A. Kaestner:
A Machine Learning Approach to Automatic Music Genre Classification. J. Braz. Comput. Soc. 14(3): 7-18 (2008) - [c8]Carlos Nascimento Silla Jr., Alessandro L. Koerich, Celso A. A. Kaestner:
Feature Selection in Automatic Music Genre Classification. ISM 2008: 39-44 - [c7]Carlos Nascimento Silla Jr., Alessandro L. Koerich, Celso A. A. Kaestner:
The Latin Music Database. ISMIR 2008: 451-456 - 2007
- [c6]Carlos Nascimento Silla Jr., Celso A. A. Kaestner, Alessandro L. Koerich:
Automatic music genre classification using ensemble of classifiers. SMC 2007: 1687-1692 - 2006
- [c5]Jan Strunk, Carlos Nascimento Silla Jr., Celso A. A. Kaestner:
A Comparative Evaluation of a New Unsupervised Sentence Boundary Detection Approach on Documents in English and Portuguese. CICLing 2006: 132-143 - [c4]Carlos Nascimento Silla Jr., Celso A. A. Kaestner, Alessandro L. Koerich:
Time-Space Ensemble Strategies for Automatic Music Genre Classification. IBERAMIA-SBIA 2006: 339-348 - 2004
- [c3]Carlos Nascimento Silla Jr., Celso A. A. Kaestner:
An Analysis of Sentence Boundary Detection Systems for English and Portuguese Documents. CICLing 2004: 135-141 - [c2]Carlos Nascimento Silla Jr., Gisele L. Pappa, Alex Alves Freitas, Celso A. A. Kaestner:
Automatic Text Summarization with Genetic Algorithm-Based Attribute Selection. IBERAMIA 2004: 305-314 - [c1]Lucia Helena Machado Rino, Thiago Alexandre Salgueiro Pardo, Carlos Nascimento Silla Jr., Celso A. A. Kaestner, Michael Pombo:
A Comparison of Automatic Summarizers of Texts in Brazilian Portuguese. SBIA 2004: 235-244
Coauthor Index
aka: Yandre Maldonado e Gomes da Costa
aka: Celso Antônio Alves Kaestner
aka: Alessandro Lameiras Koerich
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last updated on 2024-08-05 20:22 CEST by the dblp team
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