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 (IBERAMIA, 2012)

An Experimental Design to Evaluate Class Imbalance Treatment Methods. - Gustavo Enrique De Almeida Prado Alves Batista; Diego Furtado Silva; Ronaldo Cristiano Prati (ICMLA (2), 2012)

Classification of Data Streams Applied to Insect Recognition: Initial Results. - Vinícius M. A. de Souza; Diego Furtado Silva; Gustavo E. A. P. A. Batista (BRACIS, 2013)

Time Series Classification Using Compression Distance of Recurrence Plots. - Diego Furtado Silva; Vinícius M. A. de Souza; Gustavo E. A. P. A. Batista (ICDM, 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 (ICMLA (1), 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 (ISMIR, 2013)

Adding Diversity to Rank Examples in Anytime Nearest Neighbor Classification. - Cristiano Inácio Lemes; Diego Furtado Silva; Gustavo E. A. P. A. Batista (ICMLA, 2014)

Extracting Texture Features for Time Series Classification. - Vinícius M. A. de Souza; Diego Furtado Silva; Gustavo E. A. P. A. Batista (ICPR, 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 (ISMIR, 2014)

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 001 (ICMLA, 2015)

Time Series Classification with Representation Ensembles. - Rafael Giusti; Diego Furtado Silva; Gustavo E. A. P. A. Batista (IDA, 2015)

Music Shapelets for Fast Cover Song Recognition. - Diego Furtado Silva; Vinícius M. A. de Souza; Gustavo E. A. P. A. Batista (ISMIR, 2015)

Data Stream Classification Guided by Clustering on Nonstationary Environments and Extreme Verification Latency. - Vinícius M. A. de Souza; Diego Furtado Silva; João Gama 001; Gustavo E. A. P. A. Batista (SDM, 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)

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)

Prefix and Suffix Invariant Dynamic Time Warping. - Diego Furtado Silva; Gustavo E. A. P. A. Batista; Eamonn J. Keogh (ICDM, 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 014; Liudmila Ulanova; Nurjahan Begum; Yifei Ding; Hoang Anh Dau; Diego Furtado Silva; Abdullah Mueen; Eamonn J. Keogh (ICDM, 2016)

Improved Time Series Classification with Representation Diversity and SVM. - Rafael Giusti; Diego Furtado Silva; Gustavo E. A. P. A. Batista (ICMLA, 2016)

SiMPle: Assessing Music Similarity Using Subsequences Joins. - Diego Furtado Silva; Chin-Chia Michael Yeh; Gustavo E. A. P. A. Batista; Eamonn J. Keogh (ISMIR, 2016)

Speeding Up All-Pairwise Dynamic Time Warping Matrix Calculation. - Diego Furtado Silva; Gustavo E. A. P. A. Batista (SDM, 2016)

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 (IEEE BigData, 2017)

Elastic Time Series Motifs and Discords. - Diego Furtado Silva; Gustavo E. A. P. A. Batista (ICMLA, 2018)

Exploring Musical Relations Using Association Rule Networks. - Renan de Padua; Veronica Oliveira de Carvalho; Solange O. Rezende; Diego Furtado Silva (ISMIR, 2018)

Summarizing and Comparing Music Data and Its Application on Cover Song Identification. - Diego Furtado Silva; Felipe Falcão; Nazareno Andrade (ISMIR, 2018)

Classifying and Counting with Recurrent Contexts. - Denis Moreira dos Reis; André Gustavo Maletzke; Diego Furtado Silva; Gustavo E. A. P. A. Batista (KDD, 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)

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)

Time series joins, motifs, discords and shapelets: a unifying view that exploits the matrix profile. - Chin-Chia Michael Yeh; Yan Zhu 014; Liudmila Ulanova; Nurjahan Begum; Yifei Ding; Hoang Anh Dau; Zachary Zimmerman; Diego Furtado Silva; Abdullah Mueen; Eamonn J. Keogh (Data Min. Knowl. Discov., 2018)

On Combining Diverse Models for Lyrics-Based Music Genre Classification. - Caio Luiggy Riyoichi Sawada Ueno; Diego Furtado Silva (BRACIS, 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 (ISMIR, 2019)

Guest editorial for special issue on time series classification. - Houshang Darabi; Georgiana Ifrim; Patrick Schäfer 001; Diego Furtado Silva (IEEE CAA J. Autom. Sinica, 2019)

Fast Similarity Matrix Profile for Music Analysis and Exploration. - Diego Furtado Silva; Chin-Chia Michael Yeh; Yan Zhu 014; Gustavo E. A. P. A. Batista; Eamonn J. Keogh (IEEE Trans. Multim., 2019)

On Convolutional Autoencoders to Speed Up Similarity-Based Time Series Mining. - Yuri Gabriel Aragão da Silva; Diego Furtado Silva (IEEE BigData, 2020)

Towards an Instance-Level Meta-learning-Based Ensemble for Time Series Classification. - Caio Luiggy Riyoichi Sawada Ueno; Igor Braga; Diego Furtado Silva (BRACIS (2), 2020)

Towards logical association rule mining on ontology-based semantic trajectories. - Antonio Carlos Falcão Petri; Diego Furtado Silva (ICMLA, 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 (ICMLA, 2020)

Measuring disruption in song similarity networks. - Felipe Falcão; Nazareno Andrade; Flavio Figueiredo; Diego Furtado Silva; Fábio Morais 001 (ISMIR, 2020)

A Combination of Local Approaches for Hierarchical Music Genre Classification. - Antonio Rafael Sabino Parmezan; Diego Furtado Silva; Gustavo E. A. P. A. Batista (ISMIR, 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 (WebMedia, 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 014; 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)

Financial Time Series Forecasting Enriched with Textual Information. - Lord Flaubert Steve Ataucuri Cruz; Diego Furtado Silva (ICMLA, 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 (ICMLA, 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 (ICMLA, 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 (IJCNN, 2021)

Heterogeneous Graph Neural Network for Music Emotion Recognition. - Angelo Cesar Mendes da Silva; Diego Furtado Silva; Ricardo Marcondes Marcacini (ISMIR, 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 (IberLEF@SEPLN, 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)

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 (IJCNN, 2023)

Semi-periodic Activation for Time Series Classification. - José Gilberto Barbosa de Medeiros Júnior; André Guarnier de Mitri; Diego Furtado Silva (BRACIS (4), 2024)

Tackling Low-Resource ECG Classification with Self-supervised Learning. - Rafael Florencio da Costa Silva; Diego Furtado Silva (BRACIS (4), 2024)

Evaluating Sentiment Quantification Methods in Brazilian Portuguese Corpora. - Lucas Nildaimon dos Santos Silva; Diego Furtado Silva; Helena de Medeiros Caseli (BRACIS (3), 2024)

OLGA: One-cLass Graph Autoencoder. - Marcos Paulo Silva Gôlo; José Gilberto Barbosa de Medeiros Júnior; Diego Furtado Silva; Ricardo Marcondes Marcacini (CoRR, 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)

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., 2024)

One-class graph autoencoder: A new end-to-end, low-dimensional, and interpretable approach for node classification. - Marcos Paulo Silva Gôlo; José Gilberto Barbosa de Medeiros Júnior; Diego Furtado Silva; Ricardo Marcondes Marcacini (Inf. Sci., 2025)

MariNER: A Dataset for Historical Brazilian Portuguese Named Entity Recognition. - João Lucas Luz Lima Sarcinelli; Marina Lages Gonçalves Teixeira; Jade Bortot de Paiva; Diego Furtado Silva (CoRR, 2025)