Carlos Nascimento Silla Jr.

Orcid: 0000-0002-1603-9378

Affiliations:
  • Pontifical Catholic University of Paraná, Brazil


According to our database1, Carlos Nascimento Silla Jr. authored at least 73 papers between 2004 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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Bibliography

2024
A Clustering-Based Computational Model to Group Students With Similar Programming Skills From Automatic Source Code Analysis Using Novel Features.
IEEE Trans. Learn. Technol., 2024

2023
Music Recommendation System for Shared Environments.
Proceedings of the 30th International Conference on Systems, Signals and Image Processing, 2023

Multi-Modal Music Mood Classification with Dynamic Classifier Selection.
Proceedings of the 30th International Conference on Systems, Signals and Image Processing, 2023

Automatic Classification of Infant's Cry Using Data Balancing and Hierarchical Classification Techniques.
Proceedings of the 30th International Conference on Systems, Signals and Image Processing, 2023

An Investigation of Different Positive and Negative Training Policies for the Task of Hierarchical Music Genre Classification.
Proceedings of the 30th International Conference on Systems, Signals and Image Processing, 2023

Automatic Music Score Difficulty Classification.
Proceedings of the 30th International Conference on Systems, Signals and Image Processing, 2023

Learning Game Programming Through Narrative, Sound Effects, and Music in Text-Based Games: A Creative Approach to Digital Game Education.
Proceedings of the IEEE Frontiers in Education Conference, 2023

Bringing More Girls to STEM: Initiatives within the Frontiers in Education Conference.
Proceedings of the IEEE Frontiers in Education Conference, 2023

2022
A multimodal approach for multi-label movie genre classification.
Multim. Tools Appl., 2022

2021
Toward hierarchical classification of imbalanced data using random resampling algorithms.
Inf. Sci., 2021

Handling imbalance in hierarchical classification problems using local classifiers approaches.
Data Min. Knowl. Discov., 2021

Teaching Entrepreneurship for Computer Science and Engineering Students Using Active Learning Pedagogical Strategies.
Proceedings of the IEEE Frontiers in Education Conference, 2021

Using Discord as an Extension of the Emergency Remote Teaching Classroom during the COVID-19 pandemic.
Proceedings of the IEEE Frontiers in Education Conference, 2021

An Analysis of Feature Selection Techniques For COVID-19 Detection on Chest X-Ray Data.
Proceedings of the 21st IEEE International Conference on Bioinformatics and Bioengineering, 2021

Analyzing the Impact of Resampling Approaches on Chest X-Ray Images for COVID-19 Identification in a Local Hierarchical Classification Scenario.
Proceedings of the 21st IEEE International Conference on Bioinformatics and Bioengineering, 2021

2020
OMR metrics and evaluation: a systematic review.
Multim. Tools Appl., 2020

MLTL: A multi-label approach for the Tomek Link undersampling algorithm.
Neurocomputing, 2020

Ensemble of convolutional neural networks to improve animal audio classification.
EURASIP J. Audio Speech Music. Process., 2020

COVID-19 identification in chest X-ray images on flat and hierarchical classification scenarios.
Comput. Methods Programs Biomed., 2020

Multimodal Classification of Emotions in Latin Music.
Proceedings of the IEEE International Symposium on Multimedia, 2020

Evaluation of students programming skills on a computer programming course with a hierarchical clustering algorithm.
Proceedings of the IEEE Frontiers in Education Conference, 2020

2019
Identification of Infants' Cry Motivation Using Spectrograms.
Proceedings of the International Conference on Systems, Signals and Image Processing, 2019

Representation Learning vs. Handcrafted Features for Music Genre Classification.
Proceedings of the International Joint Conference on Neural Networks, 2019

Multi-label Emotion Classification in Music Videos Using Ensembles of Audio and Video Features.
Proceedings of the 31st IEEE International Conference on Tools with Artificial Intelligence, 2019

Recent Studies About Teaching Algorithms (CS1) and Data Structures (CS2) for Computer Science Students.
Proceedings of the IEEE Frontiers in Education Conference, 2019

2018
Bird and whale species identification using sound images.
IET Comput. Vis., 2018

Exploring Data Augmentation to Improve Music Genre Classification with ConvNets.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Dealing with Imbalanceness in Hierarchical Multi-Label Datasets Using Multi-Label Resampling Techniques.
Proceedings of the IEEE 30th International Conference on Tools with Artificial Intelligence, 2018

A Resampling Approach for Imbalanceness on Music Genre Classification using Spectrograms.
Proceedings of the Thirty-First International Florida Artificial Intelligence Research Society Conference, 2018

Girls, Music and Computer Science.
Proceedings of the IEEE Frontiers in Education Conference, 2018

Teaching Algorithms for Visually Impaired and Blind Students using Physical Flowcharts and Screen Readers.
Proceedings of the IEEE Frontiers in Education Conference, 2018

2017
Combining visual and acoustic features for audio classification tasks.
Pattern Recognit. Lett., 2017

An evaluation of Convolutional Neural Networks for music classification using spectrograms.
Appl. Soft Comput., 2017

An investigation of the hoeffding adaptive tree for the problem of network intrusion detection.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

BIRITS: A Music Information Retrieval System Using Query-by-Playing Techniques.
Proceedings of the 29th IEEE International Conference on Tools with Artificial Intelligence, 2017

Using simplified chords sequences to classify songs genres.
Proceedings of the 2017 IEEE International Conference on Multimedia and Expo, 2017

2016
An Evaluation of Different Evolutionary Approaches Applied in the Process of Automatic Transcription of Music Scores into Tablatures.
Proceedings of the 28th IEEE International Conference on Tools with Artificial Intelligence, 2016

Combining Visual and Acoustic Features for Bird Species Classification.
Proceedings of the 28th IEEE International Conference on Tools with Artificial Intelligence, 2016

jOthelloT: A java-based open source Othello framework for artificial intelligence undergraduate classes.
Proceedings of the 2016 IEEE Frontiers in Education Conference, 2016

Music education meets computer science and engineering education.
Proceedings of the 2016 IEEE Frontiers in Education Conference, 2016

Teaching genetic algorithm-based parameter optimization using Pacman.
Proceedings of the 2016 IEEE Frontiers in Education Conference, 2016

2015
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., 2015

The Latin Music Mood Database.
EURASIP J. Audio Speech Music. Process., 2015

Latin Music Mood Classification Using Cifras.
Proceedings of the 2015 IEEE International Conference on Systems, 2015

Adicionando informações estruturadas ao Bulário Eletrônico da ANVISA [Adding structured information to the ANVISA's "Bulario Eletronico"].
Proceedings of the annual conference on Brazilian Symposium on Information Systems, 2015

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].
Proceedings of the annual conference on Brazilian Symposium on Information Systems, 2015

Comparative Study of Genetic Algorithm and Ant Colony Optimization Algorithm Performances for the Task of Guitar Tablature Transcription.
Proceedings of the 2015 Brazilian Conference on Intelligent Systems, 2015

2014
The Ethnic Lyrics Fetcher tool.
EURASIP J. Audio Speech Music. Process., 2014

Nordic Music Genre Classification Using Song Lyrics.
Proceedings of the Natural Language Processing and Information Systems, 2014

Automatic Segmentation of Audio Signals for Bird Species Identification.
Proceedings of the 2014 IEEE International Symposium on Multimedia, 2014

2013
An evaluation of global-model hierarchical classification algorithms for hierarchical classification problems with single path of labels.
Comput. Math. Appl., 2013

Hierarchical Classification of Bird Species Using Their Audio Recorded Songs.
Proceedings of the IEEE International Conference on Systems, 2013

An Evaluation of Symbolic Feature Sets and Their Combination for Music Genre Classification.
Proceedings of the IEEE International Conference on Systems, 2013

2011
Novel approaches for hierarchical classification with case studies in protein function prediction.
PhD thesis, 2011

Selecting different protein representations and classification algorithms in hierarchical protein function prediction.
Intell. Data Anal., 2011

A survey of hierarchical classification across different application domains.
Data Min. Knowl. Discov., 2011

Feature set comparison for automatic bird species identification.
Proceedings of the IEEE International Conference on Systems, 2011

Automatic Bird Species Identification for Large Number of Species.
Proceedings of the 2011 IEEE International Symposium on Multimedia, 2011

A hierarchical approach to represent relational data applied to clustering tasks.
Proceedings of the 2011 International Joint Conference on Neural Networks, 2011

2010
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., 2010

Improving automatic music genre classification with hybrid content-based feature vectors.
Proceedings of the 2010 ACM Symposium on Applied Computing (SAC), 2010

2009
A Feature Selection Approach for Automatic Music Genre Classification.
Int. J. Semantic Comput., 2009

Novel Top-Down Approaches for Hierarchical Classification and Their Application to Automatic Music Genre Classification.
Proceedings of the IEEE International Conference on Systems, 2009

A Global-Model Naive Bayes Approach to the Hierarchical Prediction of Protein Functions.
Proceedings of the ICDM 2009, 2009

2008
A Machine Learning Approach to Automatic Music Genre Classification.
J. Braz. Comput. Soc., 2008

The Latin Music Database.
Proceedings of the ISMIR 2008, 2008

Feature Selection in Automatic Music Genre Classification.
Proceedings of the Tenth IEEE International Symposium on Multimedia (ISM2008), 2008

2007
Automatic music genre classification using ensemble of classifiers.
Proceedings of the IEEE International Conference on Systems, 2007

2006
Time-Space Ensemble Strategies for Automatic Music Genre Classification.
Proceedings of the Advances in Artificial Intelligence, 2006

A Comparative Evaluation of a New Unsupervised Sentence Boundary Detection Approach on Documents in English and Portuguese.
Proceedings of the Computational Linguistics and Intelligent Text Processing, 2006

2004
A Comparison of Automatic Summarizers of Texts in Brazilian Portuguese.
Proceedings of the Advances in Artificial Intelligence - SBIA 2004, 17th Brazilian Symposium on Artificial Intelligence, São Luis, Maranhão, Brazil, September 29, 2004

Automatic Text Summarization with Genetic Algorithm-Based Attribute Selection.
Proceedings of the Advances in Artificial Intelligence, 2004

An Analysis of Sentence Boundary Detection Systems for English and Portuguese Documents.
Proceedings of the Computational Linguistics and Intelligent Text Processing, 2004


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