Diego Furtado Silva

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 37

Top Topics

Similarity Join

Dynamic Time Warping

Data Stream Classification

Music Genre Classification

Top Venues

Data Min. Knowl. Discov.

Publications

Angelo Cesar Mendes da Silva, Diego Furtado Silva, Ricardo Marcondes Marcacini
Artist Similarity Based on Heterogeneous Graph Neural Networks. IEEE ACM Trans. Audio Speech Lang. Process. 32 (2024)
David Guijo-Rubio, Matthew Middlehurst, Guilherme Arcencio, Diego Furtado Silva, Anthony J. Bagnall
Unsupervised feature based algorithms for time series extrinsic regression. Data Min. Knowl. Discov. 38 (4) (2024)
Marcos Paulo Silva Gôlo, José Gilberto Barbosa de Medeiros Junior, Diego Furtado Silva, Ricardo Marcondes Marcacini
OLGA: One-cLass Graph Autoencoder. CoRR (2024)
Bruna Zamith Santos, Balbina Maria Araujo Soriano, Marcelo Gonçalves Narciso, Diego Furtado Silva, Ricardo Cerri
A New Time Series Framework for Forest Fire Risk Forecasting and Classification. IJCNN (2023)
David Guijo-Rubio, Matthew Middlehurst, Guilherme Arcencio, Diego Furtado Silva, Anthony J. Bagnall
Unsupervised Feature Based Algorithms for Time Series Extrinsic Regression. CoRR (2023)
Fernanda Malheiros Assi, Gabriel Barbosa Candido, Lucas Nildaimon dos Santos Silva, Diego Furtado Silva, Helena de Medeiros Caseli
UFSCar's Team at ABSAPT 2022: Using Syntax, Semantics and Context for Solving the Tasks. IberLEF@SEPLN (2022)
Angelo Cesar Mendes da Silva, Diego Furtado Silva, Ricardo Marcondes Marcacini
Heterogeneous Graph Neural Network for Music Emotion Recognition. ISMIR (2022)
Angelo Cesar Mendes da Silva, Diego Furtado Silva, Ricardo Marcondes Marcacini
Multimodal representation learning over heterogeneous networks for tag-based music retrieval. Expert Syst. Appl. 207 (2022)
Lord Flaubert Steve Ataucuri Cruz, Diego Furtado Silva
Financial Time Series Forecasting Enriched with Textual Information. ICMLA (2021)
Fernando Rezende Zagatti, Lucas Cardoso Silva, Lucas Nildaimon dos Santos Silva, Bruno Silva Sette, Helena de Medeiros Caseli, Daniel Lucrédio, Diego Furtado Silva
MetaPrep: Data preparation pipelines recommendation via meta-learning. ICMLA (2021)
Lucas Nildaimon dos Santos Silva, Lucas Cardoso Silva, Fernando Rezende Zagatti, Bruno Silva Sette, Helena de Medeiros Caseli, Daniel Lucrédio, Diego Furtado Silva
CurL-AutoML: Curriculum Learning-based AutoML. ICMLA (2021)
Bruno Silva Sette, Lucas Cardoso Silva, Fernando Rezende Zagatti, Lucas Nildaimon dos Santos Silva, Daniel Lucrédio, Helena de Medeiros Caseli, Diego Furtado Silva
Committee of NAS-based models. IJCNN (2021)
Lucas Cardoso Silva, Fernando Rezende Zagatti, Bruno Silva Sette, Lucas Nildaimon dos Santos Silva, Daniel Lucrédio, Diego Furtado Silva, Helena de Medeiros Caseli
Benchmarking Machine Learning Solutions in Production. ICMLA (2020)
Antonio Carlos Falcão Petri, Diego Furtado Silva
Towards logical association rule mining on ontology-based semantic trajectories. ICMLA (2020)
Yuri Gabriel Aragão da Silva, Diego Furtado Silva
On Convolutional Autoencoders to Speed Up Similarity-Based Time Series Mining. IEEE BigData (2020)
Felipe Falcão, Nazareno Andrade, Flavio V. D. de Figueiredo, Diego Furtado Silva, Fábio Morais
Measuring disruption in song similarity networks. ISMIR (2020)
Antonio Rafael Sabino Parmezan, Diego Furtado Silva, Gustavo E. A. P. A. Batista
A Combination of Local Approaches for Hierarchical Music Genre Classification. ISMIR (2020)
Caio Luiggy Riyoichi Sawada Ueno, Igor Braga, Diego Furtado Silva
Towards an Instance-Level Meta-learning-Based Ensemble for Time Series Classification. BRACIS (2) (2020)
Angelo Cesar Mendes da Silva, Diego Furtado Silva, Ricardo Marcondes Marcacini
4MuLA: A Multitask, Multimodal, and Multilingual Dataset of Music Lyrics and Audio Features. WebMedia (2020)
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
The Swiss army knife of time series data mining: ten useful things you can do with the matrix profile and ten lines of code. Data Min. Knowl. Discov. 34 (4) (2020)
Furkan Yesiler, Chris Tralie, Albin Andrew Correya, Diego Furtado Silva, Philip Tovstogan, Emilia Gómez, Xavier Serra
Da-TACOS: A Dataset for Cover Song Identification and Understanding. ISMIR (2019)
Caio Luiggy Riyoichi Sawada Ueno, Diego Furtado Silva
On Combining Diverse Models for Lyrics-Based Music Genre Classification. BRACIS (2019)
Houshang Darabi, Georgiana Ifrim, Patrick Schäfer, Diego Furtado Silva
Guest editorial for special issue on time series classification. IEEE CAA J. Autom. Sinica 6 (6) (2019)
Diego Furtado Silva, Chin-Chia Michael Yeh, Yan Zhu, Gustavo E. A. P. A. Batista, Eamonn J. Keogh
Fast Similarity Matrix Profile for Music Analysis and Exploration. IEEE Trans. Multim. 21 (1) (2019)
Renan de Padua, Veronica Oliveira de Carvalho, Solange O. Rezende, Diego Furtado Silva
Exploring Musical Relations Using Association Rule Networks. ISMIR (2018)
Denis Moreira dos Reis, André Gustavo Maletzke, Diego Furtado Silva, Gustavo E. A. P. A. Batista
Classifying and Counting with Recurrent Contexts. KDD (2018)
Diego Furtado Silva, Rafael Giusti, Eamonn J. Keogh, Gustavo E. A. P. A. Batista
Speeding up similarity search under dynamic time warping by pruning unpromising alignments. Data Min. Knowl. Discov. 32 (4) (2018)
Diego Furtado Silva, Gustavo E. A. P. A. Batista
Elastic Time Series Motifs and Discords. ICMLA (2018)
Hoang Anh Dau, Diego Furtado Silva, François Petitjean, Germain Forestier, Anthony J. Bagnall, Abdullah Mueen, Eamonn J. Keogh
Optimizing dynamic time warping's window width for time series data mining applications. Data Min. Knowl. Discov. 32 (4) (2018)
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
Time series joins, motifs, discords and shapelets: a unifying view that exploits the matrix profile. Data Min. Knowl. Discov. 32 (1) (2018)
Diego Furtado Silva, Felipe Falcão, Nazareno Andrade
Summarizing and Comparing Music Data and Its Application on Cover Song Identification. ISMIR (2018)
Hoang Anh Dau, Diego Furtado Silva, François Petitjean, Germain Forestier, Anthony J. Bagnall, Eamonn J. Keogh
Judicious setting of Dynamic Time Warping's window width allows more accurate classification of time series. IEEE BigData (2017)
Diego Furtado Silva, Chin-Chia Michael Yeh, Gustavo E. A. P. A. Batista, Eamonn J. Keogh
SiMPle: Assessing Music Similarity Using Subsequences Joins. ISMIR (2016)
Rafael Giusti, Diego Furtado Silva, Gustavo E. A. P. A. Batista
Improved Time Series Classification with Representation Diversity and SVM. ICMLA (2016)
Diego Furtado Silva, Gustavo E. A. P. A. Batista
Speeding Up All-Pairwise Dynamic Time Warping Matrix Calculation. SDM (2016)
Chin-Chia Michael Yeh, Yan Zhu, Liudmila Ulanova, Nurjahan Begum, Yifei Ding, Hoang Anh Dau, Diego Furtado Silva, Abdullah Mueen, Eamonn J. Keogh
Matrix Profile I: All Pairs Similarity Joins for Time Series: A Unifying View That Includes Motifs, Discords and Shapelets. ICDM (2016)
Diego Furtado Silva, Gustavo E. A. P. A. Batista, Eamonn J. Keogh
Prefix and Suffix Invariant Dynamic Time Warping. ICDM (2016)
Rafael Giusti, Diego Furtado Silva, Gustavo E. A. P. A. Batista
Time Series Classification with Representation Ensembles. IDA (2015)
Vinícius M. A. de Souza, Diego Furtado Silva, João Gama, Gustavo E. A. P. A. Batista
Data Stream Classification Guided by Clustering on Nonstationary Environments and Extreme Verification Latency. SDM (2015)
Diego Furtado Silva, Vinícius M. A. de Souza, Gustavo E. A. P. A. Batista
Music Shapelets for Fast Cover Song Recognition. ISMIR (2015)
Diego Furtado Silva, Vinícius M. A. de Souza, Daniel P. W. Ellis, Eamonn J. Keogh, Gustavo E. A. P. A. Batista
Exploring Low Cost Laser Sensors to Identify Flying Insect Species - Evaluation of Machine Learning and Signal Processing Methods. J. Intell. Robotic Syst. 80 (Supplement-1) (2015)
Vinícius M. A. de Souza, Diego Furtado Silva, Gustavo E. A. P. A. Batista, João Gama
Classification of Evolving Data Streams with Infinitely Delayed Labels. ICMLA (2015)
Ronaldo C. Prati, Gustavo E. A. P. A. Batista, Diego Furtado Silva
Class imbalance revisited: a new experimental setup to assess the performance of treatment methods. Knowl. Inf. Syst. 45 (1) (2015)
Cristiano Inácio Lemes, Diego Furtado Silva, Gustavo E. A. P. A. Batista
Adding Diversity to Rank Examples in Anytime Nearest Neighbor Classification. ICMLA (2014)
Diego Furtado Silva, Rafael Geraldeli Rossi, Solange Oliveira Rezende, Gustavo Enrique De Almeida Prado Alves Batista
Music Classification by Transductive Learning Using Bipartite Heterogeneous Networks. ISMIR (2014)
Vinícius M. A. de Souza, Diego Furtado Silva, Gustavo E. A. P. A. Batista
Extracting Texture Features for Time Series Classification. ICPR (2014)
Diego Furtado Silva, Hélène Papadopoulos, Gustavo Enrique De Almeida Prado Alves Batista, Daniel P. W. Ellis
A Video Compression-Based Approach to Measure Music Structural Similarity. ISMIR (2013)
Diego Furtado Silva, Vinícius M. A. de Souza, Gustavo E. A. P. A. Batista, Eamonn J. Keogh, Daniel P. W. Ellis
Applying Machine Learning and Audio Analysis Techniques to Insect Recognition in Intelligent Traps. ICMLA (1) (2013)
Diego Furtado Silva, Vinícius M. A. de Souza, Gustavo E. A. P. A. Batista
Time Series Classification Using Compression Distance of Recurrence Plots. ICDM (2013)
Vinícius M. A. de Souza, Diego Furtado Silva, Gustavo E. A. P. A. Batista
Classification of Data Streams Applied to Insect Recognition: Initial Results. BRACIS (2013)
Gustavo Enrique De Almeida Prado Alves Batista, Diego Furtado Silva, Ronaldo Cristiano Prati
An Experimental Design to Evaluate Class Imbalance Treatment Methods. ICMLA (2) (2012)
Diego Furtado Silva, Vinícius M. A. de Souza, Gustavo E. A. P. A. Batista, Rafael Giusti
Spoken Digit Recognition in Portuguese Using Line Spectral Frequencies. IBERAMIA (2012)