Diego Furtado Silva

67 papers A* 4A 2B 4C 9Journal 17Unranked 26

Year	Rank	Type	Title / Venue / Authors
2026	—	`ed.`	Intelligent Systems - 35th Brazilian Conference, BRACIS 2025, Fortaleza-CE, Brazil, September 29 - October 2, 2025, Proceedings, Part I BRACIS (1) Rosiane de Freitas, Diego Furtado Silva
2026	—	`ed.`	Intelligent Systems - 35th Brazilian Conference, BRACIS 2025, Fortaleza-CE, Brazil, September 29 - October 2, 2025, Proceedings, Part II BRACIS (2) Rosiane de Freitas, Diego Furtado Silva
2026	—	`ed.`	Intelligent Systems - 35th Brazilian Conference, BRACIS 2025, Fortaleza-CE, Brazil, September 29 - October 2, 2025, Proceedings, Part III BRACIS (3) Rosiane de Freitas, Diego Furtado Silva
2026	—	`ed.`	Intelligent Systems - 35th Brazilian Conference, BRACIS 2025, Fortaleza-CE, Brazil, September 29 - October 2, 2025, Proceedings, Part IV BRACIS (4) Rosiane de Freitas, Diego Furtado Silva
2025	—	`conf`	Exploring Data-Oriented Strategies for Training ECG Self-supervised Models. BRACIS (3) Rafael Florencio da Costa Silva, Adilson Medronha, Diego Furtado Silva
2025	J	`jnl`	Local LLM Ensembles for Zero-shot Portuguese Named Entity Recognition. CoRR João Lucas Luz Lima Sarcinelli, Diego Furtado Silva
2025	—	`conf`	MariNER: A Dataset for Historical Brazilian Portuguese Named Entity Recognition. BRACIS (4) João Lucas Luz Lima Sarcinelli, Marina Lages Gonçalves Teixeira, Jade Bortot de Paiva, Diego Furtado Silva
2025	J	`jnl`	MariNER: A Dataset for Historical Brazilian Portuguese Named Entity Recognition. CoRR João Lucas Luz Lima Sarcinelli, Marina Lages Gonçalves Teixeira, Jade Bortot de Paiva, Diego Furtado Silva
2025	—	`conf`	Match: A Maximum-Likelihood Approach for Classification under Label Shift. KDD (2) Zahra Donyavi, Feiyu Li, Yunrui Zhang, Diego Furtado Silva, Gustavo Batista
2025	J	`jnl`	One-class graph autoencoder: A new end-to-end, low-dimensional, and interpretable approach for node classification. Inf. Sci. Marcos Paulo Silva Gôlo, José Gilberto Barbosa de Medeiros Júnior, Diego Furtado Silva, Ricardo Marcondes Marcacini
2024	J	`jnl`	Artist Similarity Based on Heterogeneous Graph Neural Networks. IEEE ACM Trans. Audio Speech Lang. Process. Angelo Cesar Mendes da Silva, Diego Furtado Silva, Ricardo Marcondes Marcacini
2024	—	`conf`	Evaluating Sentiment Quantification Methods in Brazilian Portuguese Corpora. BRACIS (3) Lucas Nildaimon dos Santos Silva, Diego Furtado Silva, Helena de Medeiros Caseli
2024	J	`jnl`	OLGA: One-cLass Graph Autoencoder. CoRR Marcos Paulo Silva Gôlo, José Gilberto Barbosa de Medeiros Júnior, Diego Furtado Silva, Ricardo Marcondes Marcacini
2024	J	`jnl`	Semi-Periodic Activation for Time Series Classification. CoRR José Gilberto Barbosa de Medeiros Júnior, André Guarnier de Mitri, Diego Furtado Silva
2024	—	`conf`	Semi-periodic Activation for Time Series Classification. BRACIS (4) José Gilberto Barbosa de Medeiros Júnior, André Guarnier de Mitri, Diego Furtado Silva
2024	—	`conf`	Tackling Low-Resource ECG Classification with Self-supervised Learning. BRACIS (4) Rafael Florencio da Costa Silva, Diego Furtado Silva
2024	J	`jnl`	Unsupervised feature based algorithms for time series extrinsic regression. Data Min. Knowl. Discov. David Guijo-Rubio, Matthew Middlehurst, Guilherme Arcencio, Diego Furtado Silva, Anthony J. Bagnall
2023	B	`conf`	A New Time Series Framework for Forest Fire Risk Forecasting and Classification. IJCNN Bruna Zamith Santos, Balbina Maria Araujo Soriano, Marcelo Gonçalves Narciso, Diego Furtado Silva, Ricardo Cerri
2023	J	`jnl`	Unsupervised Feature Based Algorithms for Time Series Extrinsic Regression. CoRR David Guijo-Rubio, Matthew Middlehurst, Guilherme Arcencio, Diego Furtado Silva, Anthony J. Bagnall
2022	—	`ed.`	Computational Processing of the Portuguese Language - 15th International Conference, PROPOR 2022, Fortaleza, Brazil, March 21-23, 2022, Proceedings PROPOR Vládia Pinheiro, Pablo Gamallo, Raquel Amaro, Carolina Scarton, Fernando Batista, Diego Furtado Silva, Catarina Magro, Hugo Pinto
2022	—	`conf`	Heterogeneous Graph Neural Network for Music Emotion Recognition. ISMIR Angelo Cesar Mendes da Silva, Diego Furtado Silva, Ricardo Marcondes Marcacini
2022	J	`jnl`	Multimodal representation learning over heterogeneous networks for tag-based music retrieval. Expert Syst. Appl. Angelo Cesar Mendes da Silva, Diego Furtado Silva, Ricardo Marcondes Marcacini
2022	—	`conf`	UFSCar's Team at ABSAPT 2022: Using Syntax, Semantics and Context for Solving the Tasks. IberLEF@SEPLN Fernanda Malheiros Assi, Gabriel Barbosa Candido, Lucas Nildaimon dos Santos Silva, Diego Furtado Silva, Helena de Medeiros Caseli
2021	B	`conf`	Committee of NAS-based models. IJCNN Bruno Silva Sette, Lucas Cardoso Silva, Fernando Rezende Zagatti, Lucas Nildaimon dos Santos Silva, Daniel Lucrédio, Helena de Medeiros Caseli, Diego Furtado Silva
2021	C	`conf`	CurL-AutoML: Curriculum Learning-based AutoML. ICMLA Lucas Nildaimon dos Santos Silva, Lucas Cardoso Silva, Fernando Rezende Zagatti, Bruno Silva Sette, Helena de Medeiros Caseli, Daniel Lucrédio, Diego Furtado Silva
2021	C	`conf`	Financial Time Series Forecasting Enriched with Textual Information. ICMLA Lord Flaubert Steve Ataucuri Cruz, Diego Furtado Silva
2021	C	`conf`	MetaPrep: Data preparation pipelines recommendation via meta-learning. ICMLA Fernando Rezende Zagatti, Lucas Cardoso Silva, Lucas Nildaimon dos Santos Silva, Bruno Silva Sette, Helena de Medeiros Caseli, Daniel Lucrédio, Diego Furtado Silva
2020	—	`conf`	4MuLA: A Multitask, Multimodal, and Multilingual Dataset of Music Lyrics and Audio Features. WebMedia Angelo Cesar Mendes da Silva, Diego Furtado Silva, Ricardo Marcondes Marcacini
2020	—	`conf`	A Combination of Local Approaches for Hierarchical Music Genre Classification. ISMIR Antonio Rafael Sabino Parmezan, Diego Furtado Silva, Gustavo E. A. P. A. Batista
2020	C	`conf`	Benchmarking Machine Learning Solutions in Production. ICMLA Lucas Cardoso Silva, Fernando Rezende Zagatti, Bruno Silva Sette, Lucas Nildaimon dos Santos Silva, Daniel Lucrédio, Diego Furtado Silva, Helena de Medeiros Caseli
2020	—	`conf`	Measuring disruption in song similarity networks. ISMIR Felipe Falcão, Nazareno Andrade, Flavio Figueiredo, Diego Furtado Silva, Fábio Morais
2020	—	`conf`	On Convolutional Autoencoders to Speed Up Similarity-Based Time Series Mining. IEEE BigData Yuri Gabriel Aragão da Silva, Diego Furtado Silva
2020	J	`jnl`	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. 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
2020	—	`conf`	Towards an Instance-Level Meta-learning-Based Ensemble for Time Series Classification. BRACIS (2) Caio Luiggy Riyoichi Sawada Ueno, Igor Braga, Diego Furtado Silva
2020	C	`conf`	Towards logical association rule mining on ontology-based semantic trajectories. ICMLA Antonio Carlos Falcão Petri, Diego Furtado Silva
2019	—	`conf`	Da-TACOS: A Dataset for Cover Song Identification and Understanding. ISMIR Furkan Yesiler, Chris Tralie, Albin Andrew Correya, Diego Furtado Silva, Philip Tovstogan, Emilia Gómez, Xavier Serra
2019	J	`jnl`	Fast Similarity Matrix Profile for Music Analysis and Exploration. IEEE Trans. Multim. Diego Furtado Silva, Chin-Chia Michael Yeh, Yan Zhu, Gustavo E. A. P. A. Batista, Eamonn J. Keogh
2019	J	`jnl`	Guest editorial for special issue on time series classification. IEEE CAA J. Autom. Sinica Houshang Darabi, Georgiana Ifrim, Patrick Schäfer, Diego Furtado Silva
2019	—	`conf`	On Combining Diverse Models for Lyrics-Based Music Genre Classification. BRACIS Caio Luiggy Riyoichi Sawada Ueno, Diego Furtado Silva
2018	A*	`conf`	Classifying and Counting with Recurrent Contexts. KDD Denis Moreira dos Reis, André Gustavo Maletzke, Diego Furtado Silva, Gustavo E. A. P. A. Batista
2018	C	`conf`	Elastic Time Series Motifs and Discords. ICMLA Diego Furtado Silva, Gustavo E. A. P. A. Batista
2018	—	`conf`	Exploring Musical Relations Using Association Rule Networks. ISMIR Renan de Padua, Veronica Oliveira de Carvalho, Solange O. Rezende, Diego Furtado Silva
2018	J	`jnl`	Optimizing dynamic time warping's window width for time series data mining applications. Data Min. Knowl. Discov. Hoang Anh Dau, Diego Furtado Silva, François Petitjean, Germain Forestier, Anthony J. Bagnall, Abdullah Mueen, Eamonn J. Keogh
2018	J	`jnl`	Speeding up similarity search under dynamic time warping by pruning unpromising alignments. Data Min. Knowl. Discov. Diego Furtado Silva, Rafael Giusti, Eamonn J. Keogh, Gustavo E. A. P. A. Batista
2018	—	`conf`	Summarizing and Comparing Music Data and Its Application on Cover Song Identification. ISMIR Diego Furtado Silva, Felipe Falcão, Nazareno Andrade
2018	J	`jnl`	Time series joins, motifs, discords and shapelets: a unifying view that exploits the matrix profile. Data Min. Knowl. Discov. 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
2017	—	`conf`	Judicious setting of Dynamic Time Warping's window width allows more accurate classification of time series. IEEE BigData Hoang Anh Dau, Diego Furtado Silva, François Petitjean, Germain Forestier, Anthony J. Bagnall, Eamonn J. Keogh
2016	C	`conf`	Improved Time Series Classification with Representation Diversity and SVM. ICMLA Rafael Giusti, Diego Furtado Silva, Gustavo E. A. P. A. Batista
2016	A*	`conf`	Matrix Profile I: All Pairs Similarity Joins for Time Series: A Unifying View That Includes Motifs, Discords and Shapelets. ICDM Chin-Chia Michael Yeh, Yan Zhu, Liudmila Ulanova, Nurjahan Begum, Yifei Ding, Hoang Anh Dau, Diego Furtado Silva, Abdullah Mueen, Eamonn J. Keogh
2016	A*	`conf`	Prefix and Suffix Invariant Dynamic Time Warping. ICDM Diego Furtado Silva, Gustavo E. A. P. A. Batista, Eamonn J. Keogh
2016	—	`conf`	SiMPle: Assessing Music Similarity Using Subsequences Joins. ISMIR Diego Furtado Silva, Chin-Chia Michael Yeh, Gustavo E. A. P. A. Batista, Eamonn J. Keogh
2016	A	`conf`	Speeding Up All-Pairwise Dynamic Time Warping Matrix Calculation. SDM Diego Furtado Silva, Gustavo E. A. P. A. Batista
2015	J	`jnl`	Class imbalance revisited: a new experimental setup to assess the performance of treatment methods. Knowl. Inf. Syst. Ronaldo C. Prati, Gustavo E. A. P. A. Batista, Diego Furtado Silva
2015	C	`conf`	Classification of Evolving Data Streams with Infinitely Delayed Labels. ICMLA Vinícius M. A. de Souza, Diego Furtado Silva, Gustavo E. A. P. A. Batista, João Gama
2015	A	`conf`	Data Stream Classification Guided by Clustering on Nonstationary Environments and Extreme Verification Latency. SDM Vinícius M. A. de Souza, Diego Furtado Silva, João Gama, Gustavo E. A. P. A. Batista
2015	J	`jnl`	Exploring Low Cost Laser Sensors to Identify Flying Insect Species - Evaluation of Machine Learning and Signal Processing Methods. J. Intell. Robotic Syst. Diego Furtado Silva, Vinícius M. A. de Souza, Daniel P. W. Ellis, Eamonn J. Keogh, Gustavo E. A. P. A. Batista
2015	—	`conf`	Music Shapelets for Fast Cover Song Recognition. ISMIR Diego Furtado Silva, Vinícius M. A. de Souza, Gustavo E. A. P. A. Batista
2015	B	`conf`	Time Series Classification with Representation Ensembles. IDA Rafael Giusti, Diego Furtado Silva, Gustavo E. A. P. A. Batista
2014	C	`conf`	Adding Diversity to Rank Examples in Anytime Nearest Neighbor Classification. ICMLA Cristiano Inácio Lemes, Diego Furtado Silva, Gustavo E. A. P. A. Batista
2014	B	`conf`	Extracting Texture Features for Time Series Classification. ICPR Vinícius M. A. de Souza, Diego Furtado Silva, Gustavo E. A. P. A. Batista
2014	—	`conf`	Music Classification by Transductive Learning Using Bipartite Heterogeneous Networks. ISMIR Diego Furtado Silva, Rafael Geraldeli Rossi, Solange Oliveira Rezende, Gustavo Enrique De Almeida Prado Alves Batista
2013	—	`conf`	A Video Compression-Based Approach to Measure Music Structural Similarity. ISMIR Diego Furtado Silva, Hélène Papadopoulos, Gustavo Enrique De Almeida Prado Alves Batista, Daniel P. W. Ellis
2013	—	`conf`	Applying Machine Learning and Audio Analysis Techniques to Insect Recognition in Intelligent Traps. ICMLA (1) Diego Furtado Silva, Vinícius M. A. de Souza, Gustavo E. A. P. A. Batista, Eamonn J. Keogh, Daniel P. W. Ellis
2013	—	`conf`	Classification of Data Streams Applied to Insect Recognition: Initial Results. BRACIS Vinícius M. A. de Souza, Diego Furtado Silva, Gustavo E. A. P. A. Batista
2013	A*	`conf`	Time Series Classification Using Compression Distance of Recurrence Plots. ICDM Diego Furtado Silva, Vinícius M. A. de Souza, Gustavo E. A. P. A. Batista
2012	—	`conf`	An Experimental Design to Evaluate Class Imbalance Treatment Methods. ICMLA (2) Gustavo Enrique De Almeida Prado Alves Batista, Diego Furtado Silva, Ronaldo Cristiano Prati
2012	—	`conf`	Spoken Digit Recognition in Portuguese Using Line Spectral Frequencies. IBERAMIA Diego Furtado Silva, Vinícius M. A. de Souza, Gustavo E. A. P. A. Batista, Rafael Giusti