Published in Information Sciences, 2025
Recommended citation: Golo, Marcos Paulo Silva, et al. "One-class graph autoencoder: A new end-to-end, low-dimensional, and interpretable approach for node classification." Information Sciences 708 (2025): 122060.
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Published in Data Mining and Knowledge Discovery, 2024
Recommended citation: Guijo-Rubio, David, et al. "Unsupervised feature based algorithms for time series extrinsic regression." Data Mining and Knowledge Discovery 38.4 (2024): 2141-2185.
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Published in IEEE/ACM Transactions on Audio, Speech, and Language Processing, 2024
Recommended citation: da Silva, Angelo Cesar Mendes, Diego Furtado Silva, and Ricardo Marcondes Marcacini. "Artist similarity based on heterogeneous graph neural networks." IEEE/ACM Transactions on Audio, Speech, and Language Processing 32 (2024): 3717-3729.
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Published in Expert Systems with Applications, 2022
Recommended citation: Da Silva, A. C. M., et al. "Multimodal representation learning over heterogeneous networks for tag-based music retrieval." Expert Systems with Applications, vol. 207, 2022, p. 117969.
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Published in International Journal of Cardiovascular Science, 2022
Recommended citation: Mazzu-Nascimento, T., et al. "Smartphone-Based Screening for Cardiovascular Diseases: A Trend?" International Journal of Cardiovascular Science, vol. 35, no. 1, 2022, pp. 127-134.
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Published in International Journal of Nutrology, 2021
Recommended citation: Mazzu-Nascimento, T., et al. "Smartphone-based photo analysis for the evaluation of anemia, jaundice and COVID-19." International Journal of Nutrology, vol. 14, no. 2, 2021, pp. 55-60.
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Published in Scientia Medica, 2021
Recommended citation: Mazzu-Nascimento, T., et al. "Remote and non-invasive monitoring of patients with COVID-19 by smartphone." Scientia Medica, vol. 31, no. 1, 2021, p. e39340.
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Published in Data Mining and Knowledge Discovery, 2020
Recommended citation: Zhu, Y., et al. "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 Mining and Knowledge Discovery, vol. 34, no. 1, 2020, pp. 949-979.
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Published in International Journal of Nutrology, 2020
Recommended citation: Mazzu-Nascimento, T., et al. "Mobile Health (mHealth) and Advances in Noninvasive Diagnosis of Anemia: An Overview." International Journal of Nutrology, vol. 13, no. 2, 2020, pp. 42-47.
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Published in International Journal of Nutrology, 2020
Recommended citation: Mazzu-Nascimento, T., et al. "Noninvasive Self-monitoring of Blood Glucose at Your Fingertips, Literally!: Smartphone-Based Photoplethysmography." International Journal of Nutrology, vol. 13, no. 2, 2020, pp. 48-52.
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Published in IEEE Transactions on Multimedia, 2019
Recommended citation: Silva, D. F., et al. "Fast similarity matrix profile for music analysis and exploration." IEEE Transactions on Multimedia, vol. 21, no. 1, 2019, pp. 29-38.
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Published in Data Mining and Knowledge Discovery, 2018
Recommended citation: Silva, D. F., et al. "Speeding up similarity search under dynamic time warping by pruning unpromising alignments." Data Mining and Knowledge Discovery, vol. 32, 2018, pp. 988-1016.
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Published in Data Mining and Knowledge Discovery, 2018
Recommended citation: Yeh, C. M., et al. "Time Series Joins, Motifs, Discords and Shapelets: a Unifying View that Exploits the Matrix Profile." Data Mining and Knowledge Discovery, vol. 32, 2018, pp. 83-123.
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Published in Data Mining and Knowledge Discovery, 2018
Recommended citation: Dau, H. A., et al. "Optimizing Dynamic Time Warping's Window Width For Time Series Data Mining Applications." Data Mining and Knowledge Discovery, vol. 32, 2018, pp. 1074-1120.
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Published in Analytical methods, 2017
Recommended citation: Mazzu-Nascimento, T., et al. "Improved assessment of accuracy and performance indicators in paper-based ELISA." Analytical methods, vol. 9, no. 1, 2017, pp. 2644-2653.
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Published in Knowledge and Information Systems, 2015
Recommended citation: Prati, R. C., et al. "Class imbalance revisited: a new experimental setup to assess the performance of treatment methods." Knowledge and Information Systems, vol. 45, no. 1, 2015, pp. 247-270.
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Published in Journal of Intelligent & Robotic Systems, 2015
Recommended citation: Silva, D. F., et al. "Exploring Low Cost Laser Sensors to Identify Flying Insect Species." Journal of Intelligent & Robotic Systems, vol. 80, no. 1, 2015, pp. 313-330.
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Published in Acta Scientiarum Technology, 2013
Recommended citation: Silva, D. F., et al. "A comparative study between MFCC and LSF coefficients in automatic recognition of isolated digits pronounced in Portuguese and English." Acta Scientiarum Technology, vol. 35, no. 4, 2013, pp. 621-628.
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Published in 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2025
Recommended citation: Donyavi, Zahra, et al. "Match: A Maximum-Likelihood Approach for Classification under Label Shift." Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining V. 2. 2025.
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Published in 27th Iberoamerican Congress on Pattern Recognition, 2025
Recommended citation: Sarcinelli, João Lucas Luz Lima, and Diego Furtado Silva. "Local LLM Ensembles for Zero-shot Portuguese Named Entity Recognition." 27th Iberoamerican Congress on Pattern Recognition (2025).
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Published in Brazilian Conference on Intelligent Systems, 2025
Recommended citation: Sarcinelli, João Lucas Luz Lima, et al. "MariNER: A Dataset for Historical Brazilian Portuguese Named Entity Recognition." Brazilian Conference on Intelligent Systems. Cham: Springer Nature Switzerland, 2025.
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Published in Brazilian Conference on Intelligent Systems, 2025
Recommended citation: Silva, Rafael da Costa, Adilson Medronha, and Diego Furtado Silva. "Exploring Data-Oriented Strategies for Training ECG Self-supervised Models." Brazilian Conference on Intelligent Systems. Cham: Springer Nature Switzerland, 2025.
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Published in X Simposio de Quantificacao em Geociencias, 2025
Recommended citation: Araújo, Marcelus Glaucus de Souza, et al. "Peabiru Paths DTW: desmistificando os caminhos para o alinhamento geométrico, físico e consistente entre sísmica e poço." X Simpósio de Quantificação em Geociências (2025).
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Published in Encontro Nacional de Inteligencia Artificial e Computacional (ENIAC), 2025
Recommended citation: da Costa Merlin, Gabriel, Adilson Junior Alves Medronha, and Diego Furtado Silva. "FCKAN: Evaluating KAN for Time Series Classification and Extrinsic Regression." Encontro Nacional de Inteligência Artificial e Computacional (ENIAC). SBC, 2025.
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Published in Encontro Nacional de Inteligencia Artificial e Computacional (ENIAC), 2025
Recommended citation: Bastos, Samuel Thomaz, Rafael da Costa Silva, and Diego Furtado Silva. "Multimodal Fusion Strategies for Multivariate Time Series Classification." Encontro Nacional de Inteligência Artificial e Computacional (ENIAC). SBC, 2025.
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Published in Computing in Cardiology, 2025
Recommended citation: Long, Yongchao, et al. "Fine-Tuning a Pretrained ECG Foundation Model for Chagas Disease Detection." Computing in Cardiology, 2025
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Published in Proceedings of the International Instrumentation and Measurement Technology Conference, 2024
Recommended citation: Matos, S. N., et al. "Machine Learning Techniques for Improving Multiclass Anomaly Detection on Conveyor Belts." Proceedings of the International Instrumentation and Measurement Technology Conference, 2024.
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Published in Brazilian Conference on Intelligent Systems, 2024
Recommended citation: de Medeiros Júnior, José Gilberto Barbosa, Andre Guarnier de Mitri, and Diego Furtado Silva. "Semi-periodic activation for time series classification." Brazilian Conference on Intelligent Systems. Cham: Springer Nature Switzerland, 2024.
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Published in Brazilian Conference on Intelligent Systems, 2024
Recommended citation: da Costa Silva, Rafael, and Diego Furtado Silva. "Tackling Low-Resource ECG Classification with Self-supervised Learning." Brazilian Conference on Intelligent Systems. Cham: Springer Nature Switzerland, 2024.
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Published in Brazilian Conference on Intelligent Systems, 2024
Recommended citation: dos Santos Silva, Lucas Nildaimon, Diego Furtado Silva, and Helena de Medeiros Caseli. "Evaluating Sentiment Quantification Methods in Brazilian Portuguese Corpora." Brazilian Conference on Intelligent Systems. Cham: Springer Nature Switzerland, 2024.
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Published in Proceedings of the Recent Advances In Natural Language Processing, 2023
Recommended citation: Leite, J. A., et al. "Noisy Self-training With Data Augmentations For Offensive And Hate Speech Detection Tasks." Proceedings of the Recent Advances In Natural Language Processing, 2023.
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Published in Proceedings of the 36th International Symposium On Computerbased Medical Systems, 2023
Recommended citation: Silva, D. F., et al. "Hemoglobin Estimation From Smartphone-based Photoplethysmography With Small Data." Proceedings of the 36th International Symposium On Computerbased Medical Systems, 2023, pp. 75-78.
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Published in Proceedings of the International Joint Conference On Neural Networks, 2023
Recommended citation: Santos, B. Z., et al. "A New Time Series Framework For Forest Fire Risk Forecasting And Classification." Proceedings of the International Joint Conference On Neural Networks, 2023, pp. 1-8.
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Published in Proceedings of the International Society for Music Information Retrieval Conference, 2022
Recommended citation: Da Silva, A. C. M., et al. "Heterogeneous Graph Neural Network for Music Emotion Recognition." Proceedings of the International Society for Music Information Retrieval Conference, 2022.
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Published in Proceedings of the IEEE International Conference On Machine Learning And Applications, 2021
Recommended citation: Silva, L. C., et al. "CurL-AutoML: Curriculum Learning-based AutoML." Proceedings of the IEEE International Conference On Machine Learning And Applications, 2021, pp. 766-771.
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Published in Proceedings of the IEEE International Conference On Machine Learning And Applications, 2021
Recommended citation: Zagatti, F. R., et al. "MetaPrep: Data preparation pipelines recommendation via meta-learning." Proceedings of the IEEE International Conference On Machine Learning And Applications, 2021, pp. 1197-1202.
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Published in Proceedings of the IEEE International Conference On Machine Learning And Applications, 2021
Recommended citation: Cruz, L. F. S. A., & Silva, D. F. "Financial Time Series Forecasting Enriched with Textual Information." Proceedings of the IEEE International Conference On Machine Learning And Applications, 2021, pp. 385-390.
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Published in Proceedings of the Brazilian Symposium on Computer Music, 2021
Recommended citation: da Silva, A. C. M., et al. "Instance Selection for Music Genre Classification using Heterogeneous Networks." Proceedings of the Brazilian Symposium on Computer Music, 2021, pp. 11-18.
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Published in Proceedings of the Brazilian Symposium on Computer Music, 2021
Recommended citation: Silva, D. F., et al. "Fusion of Multiple Audio Representations for Music Genre Classification." Proceedings of the Brazilian Symposium on Computer Music, 2021, pp. 40-47.
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Published in Proceedings of the Brazilian Symposium on Computer Music, 2021
Recommended citation: Silva, D. F., et al. "On Generalist and Domain-Specific Music Classification Models and Their Impacts on Brazilian Music Genre Recognition." Proceedings of the Brazilian Symposium on Computer Music, 2021, pp. 63-70.
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Published in Proceedings of the Brazilian Conference on Intelligent Systems, 2021
Recommended citation: Silva, D. F., et al. "Named Entity Recognition for Brazilian Portuguese Product Titles." Proceedings of the Brazilian Conference on Intelligent Systems, 2021, pp. 526-541.
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Published in Proceedings of the IEEE International Joint Conference on Neural Networks, 2021
Recommended citation: Sette, B. S., et al. "Committee of NAS-based models." Proceedings of the IEEE International Joint Conference on Neural Networks, 2021.
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Published in Proceedings of the Brazilian Symposium On Multimedia And The Web, 2020
Recommended citation: da Silva, A. C. M., et al. "4mula: A Multitask, Multimodal, And Multilingual Dataset Of Music Lyrics And Audio Features." Proceedings of the Brazilian Symposium On Multimedia And The Web, 2020, pp. 145-148.
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Published in Proceedings of the Brazilian Conference on Intelligent Systems, 2020
Recommended citation: Ueno, C. L. R. S., & Silva, D. F. "Towards an Instance-Level Meta-learning-Based Ensemble for Time Series Classification." Proceedings of the Brazilian Conference on Intelligent Systems, 2020, pp. 426-441.
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Published in Proceedings of the IEEE International Conference On Machine Learning And Applications, 2020
Recommended citation: Silva, L. C., et al. "Benchmarking Machine Learning Solutions In Production." Proceedings of the IEEE International Conference On Machine Learning And Applications, 2020, pp. 626-633.
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Published in Proceedings of the IEEE International Conference On Machine Learning And Applications, 2020
Recommended citation: Petri, A. C. F., & Silva, D. F. "Towards Logical Association Rule Mining On Ontology-based Semantic Trajectories." Proceedings of the IEEE International Conference On Machine Learning And Applications, 2020, pp. 586-591.
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Published in Proceedings of the International Joint Conference On Natural Language Processing, 2020
Recommended citation: Leite, J. A., et al. "Toxic Language Detection In Social Media For Brazilian Portuguese: New Dataset And Multilingual Analysis." Proceedings of the International Joint Conference On Natural Language Processing, 2020, pp. 914-924.
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Published in Proceedings of the International Joint Conference On Natural Language Processing, 2020
Recommended citation: Scarton, C. E., et al. "Measuring What Counts: the Case Of Rumour Stance Classification." Proceedings of the International Joint Conference On Natural Language Processing, 2020, pp. 925-932.
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Published in Proceedings of the IEEE International Conference On Big Data, 2020
Recommended citation: Silva, Y. G. A., & Silva, D. F. "On Convolutional Autoencoders To Speed Up Similarity-based Time Series Mining." Proceedings of the IEEE International Conference On Big Data, 2020.
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Published in Proceedings of the International Society for Music Information Retrieval Conference, 2020
Recommended citation: Falcão, F. V., et al. "Measuring Disruption in Song Similarity Networks." Proceedings of the International Society for Music Information Retrieval Conference, 2020, pp. 30-37.
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Published in Encontro Nacional de Inteligencia Artificial e Computacional (ENIAC), 2020
Recommended citation: Ortolan, L. F., & Silva, D. F. "Knowledge Discovery In Brazilian Soccer Championship Scout Data." Encontro Nacional De Inteligência Artificial e Computacional, 2020, pp. 626-637.
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Published in Proceedings of the International Society for Music Information Retrieval Conference, 2020
Recommended citation: Parmezan, A. S., et al. "A Combination of Local Approaches for Hierarchical Music Genre Classification." Proceedings of the International Society for Music Information Retrieval Conference, 2020, pp. 740-747.
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Published in Proceedings of the 20th International Society for Music Information Retrieval Conference, 2019
Recommended citation: Yesiler, F., et al. "Da-TACOS: A Dataset for Cover Song Identification and Understanding." Proceedings of the 20th International Society for Music Information Retrieval Conference, 2019, pp. 327-334.
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Published in Proceedings of the Brazilian Conference on Intelligent Systems, 2019
Recommended citation: Ueno, C. L. R. S., & Silva, D. F. "On Combining Diverse Models for Lyrics-Based Music Genre Classification." Proceedings of the Brazilian Conference on Intelligent Systems, 2019, pp. 138-143.
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Published in Proceedings of the 24th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2018
Recommended citation: Reis, D. M., et al. "Classifying and Counting with Recurrent Contexts." Proceedings of the 24th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2018, pp. 1983-1992.
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Published in Proceedings of the 19th International Society for Music Information Retrieval Conference, 2018
Recommended citation: Padua, R., et al. "Exploring Musical Relations Using Association Rule Networks." Proceedings of the 19th International Society for Music Information Retrieval Conference, 2018, pp. 400-406.
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Published in Proceedings of the 17th IEEE International Conference on Machine Learning and Applications, 2018
Recommended citation: Silva, D. F., & Batista, G. E. A. P. A. "Elastic Time Series Motifs and Discords." Proceedings of the 17th IEEE International Conference on Machine Learning and Applications, 2018, pp. 237-242.
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Published in Proceedings of the 19th International Society for Music Information Retrieval Conference, 2018
Recommended citation: Silva, D. F., et al. "Summarizing and Comparing Music Data and its Application on Cover Song Identification." Proceedings of the 19th International Society for Music Information Retrieval Conference, 2018, pp. 732-739.
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Published in Proceedings of the IEEE International Conference on Big Data, 2017
Recommended citation: Dau, H. A., et al. "Judicious Setting of Dynamic Time Warping's Window Width Allows More Accurate Classification of Time Series." Proceedings of the IEEE International Conference on Big Data, 2017, pp. 917-922.
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Published in Proceedings of the 15th IEEE International Conference on Machine Learning and Applications, 2016
Recommended citation: Giusti, R., et al. "Improved Time Series Classification with Representation Diversity and SVM." Proceedings of the 15th IEEE International Conference on Machine Learning and Applications, 2016, pp. 1-6.
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Published in Proceedings of the IEEE International Conference on Data Mining, 2016
Recommended citation: Yeh, C. M., et al. "MatrixProfile I: All Pairs Similarity Joins for Time Series." Proceedings of the IEEE International Conference on Data Mining, 2016, pp. 1317-1322.
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Published in Proceedings of the SIAM International Conference on Data Mining, 2016
Recommended citation: Silva, D. F., & Batista, G. E. A. P. A. "Speeding Up All-Pairwise Dynamic Time Warping Matrix Calculation." Proceedings of the SIAM International Conference on Data Mining, 2016, pp. 837-845.
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Published in Proceedings of the 17th International Society for Music Information Retrieval Conference, 2016
Recommended citation: Silva, D. F., et al. "SiMPle: Assessing Music Similarity Using Subsequences Joins." Proceedings of the 17th International Society for Music Information Retrieval Conference, 2016, pp. 23-29.
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Published in Proceedings of the IEEE International Conference on Data Mining, 2016
Recommended citation: Silva, D. F., et al. "Prefix and Suffix Invariant Dynamic Time Warping." Proceedings of the IEEE International Conference on Data Mining, 2016, pp. 1209-1214.
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Published in International Symposium on Intelligent Data Analysis, 2015
Recommended citation: Giusti, R., et al. "Time Series Classification with Representation Ensembles." International Symposium on Intelligent Data Analysis, 2015, pp. 108-119.
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Published in Proceedings of the 14th IEEE International Conference on Machine Learning and Applications, 2015
Recommended citation: Souza, V. M. A., et al. "Classification of Evolving Data Streams with Infinitely Delayed Labels." Proceedings of the 14th IEEE International Conference on Machine Learning and Applications, 2015, pp. 214-219.
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Published in Proceedings of the SIAM International Conference on Data Mining, 2015
Recommended citation: Souza, V. M. A., et al. "Data Stream Classification Guided by Clustering on Nonstationary Environments." Proceedings of the SIAM International Conference on Data Mining, 2015, pp. 873-881.
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Published in Proceedings of the 16th International Society for Music Information Retrieval Conference, 2015
Recommended citation: Silva, D. F., et al. "Music Shapelets for Fast Cover Song Recognition." Proceedings of the 16th International Society for Music Information Retrieval Conference, 2015, pp. 441-447.
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Published in Proceedings of the 13th IEEE International Conference on Machine Learning and Applications, 2014
Recommended citation: Lemes, C. I., et al. "Adding Diversity to Rank Examples in Anytime Nearest Neighbor Classification." Proceedings of the 13th IEEE International Conference on Machine Learning and Applications, 2014, pp. 129-134.
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Published in Proceedings of the 22nd International Conference on Pattern Recognition, 2014
Recommended citation: Souza, V. M. A., et al. "Extracting Texture Features for Time Series Classification." Proceedings of the 22nd International Conference on Pattern Recognition, 2014, pp. 1425-1430.
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Published in Proceedings of the 15th International Society for Music Information Retrieval Conference, 2014
Recommended citation: Silva, D. F., et al. "Music Classification by Transductive Learning Using Bipartite Heterogeneous Networks." Proceedings of the 15th International Society for Music Information Retrieval Conference, 2014, pp. 113-118.
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Published in Proceedings of the Brazilian Conference on Intelligent Systems, 2013
Recommended citation: Souza, V. M. A., et al. "Classification of Data Streams Applied to Insect Recognition: Initial Results." Proceedings of the Brazilian Conference on Intelligent Systems, 2013, pp. 76-81.
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Published in Encontro Nacional de Inteligencia Artificial e Computacional (ENIAC), 2013
Recommended citation: Souza, V. M. A., et al. "Avaliação de Classificadores para o Reconhecimento Automático de Insetos." Anais do Encontro Nacional de Inteligência Artificial e Computacional, 2013, pp. 1-12.
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Published in Proceedings of the 12th IEEE International Conference on Machine Learning and Applications, 2013
Recommended citation: Silva, D. F., et al. "Applying Machine Learning and Audio Analysis Techniques to Insect Recognition in Intelligent Traps." Proceedings of the 12th IEEE International Conference on Machine Learning and Applications, 2013, pp. 99-104.
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Published in Proceedings of the 14th International Society for Music Information Retrieval Conference, 2013
Recommended citation: Silva, D. F., et al. "A Video Compression-based Approach To Measure Music Structural Similarity." Proceedings of the 14th International Society for Music Information Retrieval Conference, 2013, pp. 95-100.
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Published in Proceedings of the IEEE International Conference on Data Mining, 2013
Recommended citation: Silva, D. F., et al. "Time Series Classification Using Compression Distance of Recurrence Plots." Proceedings of the IEEE International Conference on Data Mining, 2013, pp. 687-696.
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Published in Proceedings of the 11th IEEE International Conference on Machine Learning and Applications, 2012
Recommended citation: Batista, G. E. A. P. A., et al. "An Experimental Design to Evaluate Class Imbalance Treatment Methods." Proceedings of the 11th IEEE International Conference on Machine Learning and Applications, 2012, pp. 95-101.
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Published in Proceedings of the 13th Ibero-American Conference on Artificial Intelligence, 2012
Recommended citation: Silva, D. F., et al. "Spoken Digit Recognition in Portuguese Using Line Spectral Frequencies." Proceedings of the 13th Ibero-American Conference on Artificial Intelligence, 2012, pp. 241-250.
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Published in Anais do XXXI Congresso da Sociedade Brasileira de Computacao, 2011
Recommended citation: Silva, D. F., et al. "Resultados Preliminares na Classificação de Insetos Utilizando Sensores Ópticos." Anais do XXXI Congresso da Sociedade Brasileira de Computação, 2011, pp. 749-760.
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Published in Anais do IV Congresso da Academia Trinacional de Ciencias, 2009
Recommended citation: Silva, D. F., & Batista, G. E. A. P. A. "Uma Comparação Experimental de Métodos de Imputação de Valores Desconhecidos." Anais do IV Congresso da Academia Trinacional de Ciências, 2009, pp. 1-10.
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Published in Proceedings of the Argentine Symposium on Artificial Intelligence, 2009
Recommended citation: Batista, G. E. A. P. A., & Silva, D. F. "How k-Nearest Neighbor Parameters Affect its Performance." Proceedings of the Argentine Symposium on Artificial Intelligence, 2009, pp. 1-12.
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