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ORCIDDiego Furtado Silva
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2020 – today
- 2024
[j11]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): 2141-2185 (2024)- [j10]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: 3717-3729 (2024) - [i3]Marcos Paulo Silva Gôlo, José Gilberto Barbosa de Medeiros Junior, Diego Furtado Silva, Ricardo Marcondes Marcacini:
OLGA: One-cLass Graph Autoencoder. CoRR abs/2406.09131 (2024) - [i2]José Gilberto Barbosa de Medeiros Junior, Andre Guarnier de Mitri, Diego Furtado Silva:
Semi-Periodic Activation for Time Series Classification. CoRR abs/2412.09889 (2024) - 2023
- [c39]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: 1-8 - [i1]David Guijo-Rubio, Matthew Middlehurst, Guilherme Arcencio, Diego Furtado Silva, Anthony J. Bagnall:
Unsupervised Feature Based Algorithms for Time Series Extrinsic Regression. CoRR abs/2305.01429 (2023) - 2022
- [j9]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: 117969 (2022) - [c38]Angelo Cesar Mendes da Silva, Diego Furtado Silva, Ricardo Marcondes Marcacini:
Heterogeneous Graph Neural Network for Music Emotion Recognition. ISMIR 2022: 667-674 - [c37]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 - [e1]Vládia Pinheiro, Pablo Gamallo, Raquel Amaro, Carolina Scarton, Fernando Batista, Diego Furtado Silva, Catarina Magro, Hugo Pinto:
Computational Processing of the Portuguese Language - 15th International Conference, PROPOR 2022, Fortaleza, Brazil, March 21-23, 2022, Proceedings. Lecture Notes in Computer Science 13208, Springer 2022, ISBN 978-3-030-98304-8 [contents] - 2021
- [c36]Lord Flaubert Steve Ataucuri Cruz, Diego Furtado Silva:
Financial Time Series Forecasting Enriched with Textual Information. ICMLA 2021: 385-390 - [c35]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: 766-771 - [c34]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: 1197-1202 - [c33]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: 1-8 - 2020
- [j8]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): 949-979 (2020) - [c32]Yuri Gabriel Aragão da Silva, Diego Furtado Silva:
On Convolutional Autoencoders to Speed Up Similarity-Based Time Series Mining. IEEE BigData 2020: 4769-4778 - [c31]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: 426-441 - [c30]Antonio Carlos Falcão Petri, Diego Furtado Silva:
Towards logical association rule mining on ontology-based semantic trajectories. ICMLA 2020: 586-591 - [c29]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: 626-633 - [c28]Felipe Falcão, Nazareno Andrade, Flavio V. D. de Figueiredo, Diego Furtado Silva, Fábio Morais:
Measuring disruption in song similarity networks. ISMIR 2020: 30-37 - [c27]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: 740-747 - [c26]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: 145-148
2010 – 2019
- 2019
- [j7]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): 1291-1292 (2019) - [j6]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): 29-38 (2019) - [c25]Caio Luiggy Riyoichi Sawada Ueno, Diego Furtado Silva:
On Combining Diverse Models for Lyrics-Based Music Genre Classification. BRACIS 2019: 138-143 - [c24]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: 327-334 - 2018
- [j5]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): 83-123 (2018) - [j4]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): 988-1016 (2018) - [j3]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): 1074-1120 (2018) - [c23]Diego Furtado Silva, Gustavo E. A. P. A. Batista:
Elastic Time Series Motifs and Discords. ICMLA 2018: 237-242 - [c22]Renan de Padua, Veronica Oliveira de Carvalho, Solange O. Rezende, Diego Furtado Silva:
Exploring Musical Relations Using Association Rule Networks. ISMIR 2018: 400-406 - [c21]Diego Furtado Silva, Felipe Falcão, Nazareno Andrade:
Summarizing and Comparing Music Data and Its Application on Cover Song Identification. ISMIR 2018: 732-739 - [c20]Denis Moreira dos Reis, André Gustavo Maletzke, Diego Furtado Silva, Gustavo E. A. P. A. Batista:
Classifying and Counting with Recurrent Contexts. KDD 2018: 1983-1992 - 2017
- [c19]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: 917-922 - 2016
- [c18]Diego Furtado Silva, Gustavo E. A. P. A. Batista, Eamonn J. Keogh:
Prefix and Suffix Invariant Dynamic Time Warping. ICDM 2016: 1209-1214 - [c17]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: 1317-1322 - [c16]Rafael Giusti, Diego Furtado Silva, Gustavo E. A. P. A. Batista:
Improved Time Series Classification with Representation Diversity and SVM. ICMLA 2016: 1-6 - [c15]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: 23-29 - [c14]Diego Furtado Silva, Gustavo E. A. P. A. Batista:
Speeding Up All-Pairwise Dynamic Time Warping Matrix Calculation. SDM 2016: 837-845 - 2015
- [j2]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): 313-330 (2015) - [j1]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): 247-270 (2015) - [c13]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: 214-219 - [c12]Rafael Giusti, Diego Furtado Silva, Gustavo E. A. P. A. Batista:
Time Series Classification with Representation Ensembles. IDA 2015: 108-119 - [c11]Diego Furtado Silva, Vinícius M. A. de Souza, Gustavo E. A. P. A. Batista:
Music Shapelets for Fast Cover Song Recognition. ISMIR 2015: 441-447 - [c10]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: 873-881 - 2014
- [c9]Cristiano Inácio Lemes, Diego Furtado Silva, Gustavo E. A. P. A. Batista:
Adding Diversity to Rank Examples in Anytime Nearest Neighbor Classification. ICMLA 2014: 129-134 - [c8]Vinícius M. A. de Souza, Diego Furtado Silva, Gustavo E. A. P. A. Batista:
Extracting Texture Features for Time Series Classification. ICPR 2014: 1425-1430 - [c7]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: 113-118 - 2013
- [c6]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: 76-81 - [c5]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: 687-696 - [c4]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: 99-104 - [c3]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: 95-100 - 2012
- [c2]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: 241-250 - [c1]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: 95-101
Coauthor Index
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