Diego Furtado Silva

According to our database, Diego Furtado Silva authored at least 51 papers between 2012 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Unsupervised feature based algorithms for time series extrinsic regression.

David Guijo-Rubio, Matthew Middlehurst, Guilherme Arcencio, Diego Furtado Silva, Anthony J. Bagnall

Data Min. Knowl. Discov., July, 2024

Artist Similarity Based on Heterogeneous Graph Neural Networks.

Angelo Cesar Mendes da Silva, Diego Furtado Silva, Ricardo Marcondes Marcacini

IEEE ACM Trans. Audio Speech Lang. Process., 2024

OLGA: One-cLass Graph Autoencoder.

Marcos Paulo Silva Gôlo, José Gilberto Barbosa de Medeiros Junior, Diego Furtado Silva, Ricardo Marcondes Marcacini

CoRR, 2024

2023

A New Time Series Framework for Forest Fire Risk Forecasting and Classification.

Bruna Zamith Santos, Balbina Maria Araujo Soriano, Marcelo Gonçalves Narciso, Diego Furtado Silva, Ricardo Cerri

Proceedings of the International Joint Conference on Neural Networks, 2023

2022

Multimodal representation learning over heterogeneous networks for tag-based music retrieval.

Angelo Cesar Mendes da Silva, Diego Furtado Silva, Ricardo Marcondes Marcacini

Expert Syst. Appl., 2022

UFSCar's Team at ABSAPT 2022: Using Syntax, Semantics and Context for Solving the Tasks.

Fernanda Malheiros Assi, Gabriel Barbosa Candido, Lucas Nildaimon dos Santos Silva, Diego Furtado Silva, Helena de Medeiros Caseli

Proceedings of the Iberian Languages Evaluation Forum (IberLEF 2022) co-located with the Conference of the Spanish Society for Natural Language Processing (SEPLN 2022), 2022

Heterogeneous Graph Neural Network for Music Emotion Recognition.

Angelo Cesar Mendes da Silva, Diego Furtado Silva, Ricardo Marcondes Marcacini

Proceedings of the 23rd International Society for Music Information Retrieval Conference, 2022

2021

Committee of NAS-based models.

Bruno Silva Sette, Lucas Cardoso Silva, Fernando Rezende Zagatti, Lucas Nildaimon dos Santos Silva, Daniel Lucrédio, Helena de Medeiros Caseli, Diego Furtado Silva

Proceedings of the International Joint Conference on Neural Networks, 2021

MetaPrep: Data preparation pipelines recommendation via meta-learning.

Fernando Rezende Zagatti, Lucas Cardoso Silva, Lucas Nildaimon dos Santos Silva, Bruno Silva Sette, Helena de Medeiros Caseli, Daniel Lucrédio, Diego Furtado Silva

Proceedings of the 20th IEEE International Conference on Machine Learning and Applications, 2021

CurL-AutoML: Curriculum Learning-based AutoML.

Lucas Nildaimon dos Santos Silva, Lucas Cardoso Silva, Fernando Rezende Zagatti, Bruno Silva Sette, Helena de Medeiros Caseli, Daniel Lucrédio, Diego Furtado Silva

Proceedings of the 20th IEEE International Conference on Machine Learning and Applications, 2021

Financial Time Series Forecasting Enriched with Textual Information.

Lord Flaubert Steve Ataucuri Cruz, Diego Furtado Silva

Proceedings of the 20th IEEE International Conference on Machine Learning and Applications, 2021

2020

The Swiss army knife of time series data mining: ten useful things you can do with the matrix profile and ten lines of code.

Yan Zhu, Shaghayegh Gharghabi, Diego Furtado Silva, Hoang Anh Dau, Chin-Chia Michael Yeh, Nader Shakibay Senobari, Abdulaziz Almaslukh, Kaveh Kamgar, Zachary Zimmerman, Gareth J. Funning, Abdullah Mueen, Eamonn J. Keogh

Data Min. Knowl. Discov., 2020

4MuLA: A Multitask, Multimodal, and Multilingual Dataset of Music Lyrics and Audio Features.

Angelo Cesar Mendes da Silva, Diego Furtado Silva, Ricardo Marcondes Marcacini

Proceedings of the WebMedia '20: Brazillian Symposium on Multimedia and the Web, São Luís, Brazil, November 30, 2020

A Combination of Local Approaches for Hierarchical Music Genre Classification.

Antonio Rafael Sabino Parmezan, Diego Furtado Silva, Gustavo E. A. P. A. Batista

Proceedings of the 21th International Society for Music Information Retrieval Conference, 2020

Measuring disruption in song similarity networks.

Felipe Falcão, Nazareno Andrade, Flavio V. D. de Figueiredo, Diego Furtado Silva, Fábio Morais

Proceedings of the 21th International Society for Music Information Retrieval Conference, 2020

Benchmarking Machine Learning Solutions in Production.

Lucas Cardoso Silva, Fernando Rezende Zagatti, Bruno Silva Sette, Lucas Nildaimon dos Santos Silva, Daniel Lucrédio, Diego Furtado Silva, Helena de Medeiros Caseli

Proceedings of the 19th IEEE International Conference on Machine Learning and Applications, 2020

Towards logical association rule mining on ontology-based semantic trajectories.

Antonio Carlos Falcão Petri, Diego Furtado Silva

Proceedings of the 19th IEEE International Conference on Machine Learning and Applications, 2020

Towards an Instance-Level Meta-learning-Based Ensemble for Time Series Classification.

Caio Luiggy Riyoichi Sawada Ueno, Igor Braga, Diego Furtado Silva

Proceedings of the Intelligent Systems - 9th Brazilian Conference, 2020

On Convolutional Autoencoders to Speed Up Similarity-Based Time Series Mining.

Yuri Gabriel Aragão da Silva, Diego Furtado Silva

Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

2019

Fast Similarity Matrix Profile for Music Analysis and Exploration.

Diego Furtado Silva, Chin-Chia Michael Yeh, Yan Zhu, Gustavo E. A. P. A. Batista, Eamonn J. Keogh

IEEE Trans. Multim., 2019

Guest editorial for special issue on time series classification.

Houshang Darabi, Georgiana Ifrim, Patrick Schäfer, Diego Furtado Silva

IEEE CAA J. Autom. Sinica, 2019

Da-TACOS: A Dataset for Cover Song Identification and Understanding.

Furkan Yesiler, Chris Tralie, Albin Andrew Correya, Diego Furtado Silva, Philip Tovstogan, Emilia Gómez, Xavier Serra

Proceedings of the 20th International Society for Music Information Retrieval Conference, 2019

On Combining Diverse Models for Lyrics-Based Music Genre Classification.

Caio Luiggy Riyoichi Sawada Ueno, Diego Furtado Silva

Proceedings of the 8th Brazilian Conference on Intelligent Systems, 2019

2018

Time series joins, motifs, discords and shapelets: a unifying view that exploits the matrix profile.

Chin-Chia Michael Yeh, Yan Zhu, Liudmila Ulanova, Nurjahan Begum, Yifei Ding, Hoang Anh Dau, Zachary Zimmerman, Diego Furtado Silva, Abdullah Mueen, Eamonn J. Keogh

Data Min. Knowl. Discov., 2018

Speeding up similarity search under dynamic time warping by pruning unpromising alignments.

Diego Furtado Silva, Rafael Giusti, Eamonn J. Keogh, Gustavo E. A. P. A. Batista

Data Min. Knowl. Discov., 2018

Optimizing dynamic time warping's window width for time series data mining applications.

Hoang Anh Dau, Diego Furtado Silva, François Petitjean, Germain Forestier, Anthony J. Bagnall, Abdullah Mueen, Eamonn J. Keogh

Data Min. Knowl. Discov., 2018

Classifying and Counting with Recurrent Contexts.

Denis Moreira dos Reis, André Gustavo Maletzke, Diego Furtado Silva, Gustavo E. A. P. A. Batista

Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

Summarizing and Comparing Music Data and Its Application on Cover Song Identification.

Diego Furtado Silva, Felipe Falcão, Nazareno Andrade

Proceedings of the 19th International Society for Music Information Retrieval Conference, 2018

Exploring Musical Relations Using Association Rule Networks.

Renan de Padua, Veronica Oliveira de Carvalho, Solange O. Rezende, Diego Furtado Silva

Proceedings of the 19th International Society for Music Information Retrieval Conference, 2018

Elastic Time Series Motifs and Discords.

Diego Furtado Silva, Gustavo E. A. P. A. Batista

Proceedings of the 17th IEEE International Conference on Machine Learning and Applications, 2018

2017

Judicious setting of Dynamic Time Warping's window width allows more accurate classification of time series.

Hoang Anh Dau, Diego Furtado Silva, François Petitjean, Germain Forestier, Anthony J. Bagnall, Eamonn J. Keogh

Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017

2016

Speeding Up All-Pairwise Dynamic Time Warping Matrix Calculation.

Diego Furtado Silva, Gustavo E. A. P. A. Batista

Proceedings of the 2016 SIAM International Conference on Data Mining, 2016

SiMPle: Assessing Music Similarity Using Subsequences Joins.

Diego Furtado Silva, Chin-Chia Michael Yeh, Gustavo E. A. P. A. Batista, Eamonn J. Keogh

Proceedings of the 17th International Society for Music Information Retrieval Conference, 2016

Improved Time Series Classification with Representation Diversity and SVM.

Rafael Giusti, Diego Furtado Silva, Gustavo E. A. P. A. Batista

Proceedings of the 15th IEEE International Conference on Machine Learning and Applications, 2016

Matrix Profile I: All Pairs Similarity Joins for Time Series: A Unifying View That Includes Motifs, Discords and Shapelets.

Chin-Chia Michael Yeh, Yan Zhu, Liudmila Ulanova, Nurjahan Begum, Yifei Ding, Hoang Anh Dau, Diego Furtado Silva, Abdullah Mueen, Eamonn J. Keogh

Proceedings of the IEEE 16th International Conference on Data Mining, 2016

Prefix and Suffix Invariant Dynamic Time Warping.

Diego Furtado Silva, Gustavo E. A. P. A. Batista, Eamonn J. Keogh

Proceedings of the IEEE 16th International Conference on Data Mining, 2016

2015

Class imbalance revisited: a new experimental setup to assess the performance of treatment methods.

Ronaldo C. Prati, Gustavo E. A. P. A. Batista, Diego Furtado Silva

Knowl. Inf. Syst., 2015

Exploring Low Cost Laser Sensors to Identify Flying Insect Species - Evaluation of Machine Learning and Signal Processing Methods.

Diego Furtado Silva, Vinícius M. A. de Souza, Daniel P. W. Ellis, Eamonn J. Keogh, Gustavo E. A. P. A. Batista

J. Intell. Robotic Syst., 2015

Data Stream Classification Guided by Clustering on Nonstationary Environments and Extreme Verification Latency.

Vinícius M. A. de Souza, Diego Furtado Silva, João Gama, Gustavo E. A. P. A. Batista

Proceedings of the 2015 SIAM International Conference on Data Mining, Vancouver, BC, Canada, April 30, 2015

Music Shapelets for Fast Cover Song Recognition.

Diego Furtado Silva, Vinícius M. A. de Souza, Gustavo E. A. P. A. Batista

Proceedings of the 16th International Society for Music Information Retrieval Conference, 2015

Time Series Classification with Representation Ensembles.

Rafael Giusti, Diego Furtado Silva, Gustavo E. A. P. A. Batista

Proceedings of the Advances in Intelligent Data Analysis XIV, 2015

Classification of Evolving Data Streams with Infinitely Delayed Labels.

Vinícius M. A. de Souza, Diego Furtado Silva, Gustavo E. A. P. A. Batista, João Gama

Proceedings of the 14th IEEE International Conference on Machine Learning and Applications, 2015

2014

Music Classification by Transductive Learning Using Bipartite Heterogeneous Networks.

Diego Furtado Silva, Rafael Geraldeli Rossi, Solange Oliveira Rezende, Gustavo Enrique De Almeida Prado Alves Batista

Proceedings of the 15th International Society for Music Information Retrieval Conference, 2014

Extracting Texture Features for Time Series Classification.

Vinícius M. A. de Souza, Diego Furtado Silva, Gustavo E. A. P. A. Batista

Proceedings of the 22nd International Conference on Pattern Recognition, 2014

Adding Diversity to Rank Examples in Anytime Nearest Neighbor Classification.

Cristiano Inácio Lemes, Diego Furtado Silva, Gustavo E. A. P. A. Batista

Proceedings of the 13th International Conference on Machine Learning and Applications, 2014

2013

A Video Compression-Based Approach to Measure Music Structural Similarity.

Diego Furtado Silva, Hélène Papadopoulos, Gustavo Enrique De Almeida Prado Alves Batista, Daniel P. W. Ellis

Proceedings of the 14th International Society for Music Information Retrieval Conference, 2013

Applying Machine Learning and Audio Analysis Techniques to Insect Recognition in Intelligent Traps.

Diego Furtado Silva, Vinícius M. A. de Souza, Gustavo E. A. P. A. Batista, Eamonn J. Keogh, Daniel P. W. Ellis

Proceedings of the 12th International Conference on Machine Learning and Applications, 2013

Time Series Classification Using Compression Distance of Recurrence Plots.

Diego Furtado Silva, Vinícius M. A. de Souza, Gustavo E. A. P. A. Batista

Proceedings of the 2013 IEEE 13th International Conference on Data Mining, 2013

Classification of Data Streams Applied to Insect Recognition: Initial Results.

Vinícius M. A. de Souza, Diego Furtado Silva, Gustavo E. A. P. A. Batista

Proceedings of the Brazilian Conference on Intelligent Systems, 2013

2012

An Experimental Design to Evaluate Class Imbalance Treatment Methods.

Gustavo Enrique De Almeida Prado Alves Batista, Diego Furtado Silva, Ronaldo Cristiano Prati

Proceedings of the 11th International Conference on Machine Learning and Applications, 2012

Spoken Digit Recognition in Portuguese Using Line Spectral Frequencies.

Diego Furtado Silva, Vinícius M. A. de Souza, Gustavo E. A. P. A. Batista, Rafael Giusti

Proceedings of the Advances in Artificial Intelligence - IBERAMIA 2012, 2012