You can also find my publications at 3rd party websites:
- DBLP
Guijo-Rubio, D., Middlehurst, M., Arcencio, G., Silva, D. F., Bagnall, A. Unsupervised feature-based algorithms for time series extrinsic regression. Data Mining and Knowledge Discovery, 2024.
Da Silva, A. C. M., Silva, D. F., Marcacini, R. M.. Multimodal representation learning over heterogeneous networks for tag-based music retrieval. Expert Systems With Applications, v. 207, p. 117969, 2022.
Mazzu-Nascimento, T., Evangelista, D. N., Abubakar, O., Roscani, M. G., Aguilar, R. S., Chachá, S. G. F., Rosa, P. R., Silva, D. F. Smartphone-Based Screening for Cardiovascular Diseases: A Trend?. INTERNATIONAL JOURNAL OF CARDIOVASCULAR SCIENCES (ONLINE), v. 35, p. 127-134, 2022.
Mazzu-Nascimento, T., Evangelista, D. N., Abubakar, O., Bernardino, G. A. S., Domingues, L. V., Silva, D. F., Nogueira-De-Almeida, C. A. Remote and non-invasive monitoring of patients with COVID-19 by smartphone. SCIENTIA MEDICA (PORTO ALEGRE. ONLINE), v. 31, p. e39340, 2021.
Mazzu-Nascimento, T., Evangelista, D. N., Abubakar, O., Sousa, A. S., Souza, L. C., Chachá, S. G. F., Luporini, R. L., Domingues, L. V., Silva, D. F., Nogueira-De-Almeida, C. A. Smartphone-based photo analysis for the evaluation of anemia, jaundice and COVID-19. Revista de Nutrologia / International Journal of Nutrology, v. 14, p. e55-e60, 2021.
Zhu, Y., Gharghabi, S., Silva, D. F., Dau, H. A., Yeh, C. M., Senobari, N. S., Almaslukh, A., Kamgar, K., Zimmerman, Z., Funning, G., Mueen, A., Keogh, E. The Swiss army knife of time series data mining: ten useful things you can do with the matrix profile and ten lines of code. In Data Mining and Knowledge Discovery, 34 (1), p.949–979, 2020.
Silva, D. F., Yeh, C. M., Zhu, Y., Keogh, E., Batista, G. E. A. P. A. Fast Similarity Matrix Profile for Music Analysis and Exploration. In IEEE Transactions on Multimedia, 21 (1), p. 29-38, 2019.
Silva, D. F., Giusti, R., Keogh, E., Batista, G. E. A. P. A. Speeding Up Similarity Search Under Dynamic Time Warping by Pruning Unpromising Alignments. In Data Mining and Knowledge Discovery, 32 (4), p. 988–1016, 2018.
Dau, H. A., Silva, D. F., Petitjean, F., Forestier, G., Bagnall, A., Mueen, A., Keogh, E. Optimizing dynamic time warping’s window width for time series data mining applications. In Data Mining and Knowledge Discovery, 32 (4), p. 1074–1120, 2018.
Yeh, C. M., Zhu, Y., Ulanova, L., Begum, N., Ding, Y., Dau, H. A., Zimmerman, Z., Silva, D. F., Mueen, A., Keogh, E. Time Series Joins, Motifs, Discords and Shapelets: a Unifying View that Exploits the Matrix Profile. In Data Mining and Knowledge Discovery, 32 (1), p. 83–123, 2018.
Silva, D. F., Souza, V. M. A., Ellis, D. P. W., Keogh, E. J., Batista, G. E. A. P. A. Exploring Low Cost Laser Sensors to Identify Flying Insect Species. In: Journal of Intelligent & Robotic Systems, 80 (1), p. 313-330, 2015.
Prati, R. C., Batista, G. E. A. P. A., Silva, D. F. Class imbalance revisited: a new experimental setup to assess the performance of treatment methods. In: Knowledge and Information Systems, 45 (1), p. 247-270, 2015.
Silva, D. F., Souza, V. M. A., Batista, G. E. A. P. A. A comparative study between MFCC and LSF coefficients in automatic recognition of isolated digits pronounced in Portuguese and English. In: Acta Scientiarum (UEM), 35(4), p. 621-628, 2013.
Parmezan, A. S., Silva, D. F., Batista, G. E. A. P. A. A Combination of Local Approaches for Hierarchical Music Genre Classification. In: International Society for Music Information Retrieval Conference (ISMIR), 2020.
Falcão, F. V., Andrade, Figueiredo, F., Silva, D. F., Morais, F. Measuring Disruption in Song Similarity Networks. In: International Society for Music Information Retrieval Conference (ISMIR), 2020.
Ueno, C. L. R. S., Silva, D. F. On Combining Diverse Models for Lyrics-Based Music Genre Classification. In: Brazilian Conference on Intelligent Systems (BRACIS), 2020.
Petri, A. C. F., Silva, D. F. Towards Logical Association Rule Mining On Ontology-based Semantic Trajectories. In: 2020 19th IEEE International Conference On Machine Learning And Applications, 2020.
Ortolan, L. F., Silva, D. F. Knowledge Discovery In Brazilian Soccer Championship Scout Data. In: Encontro Nacional De Inteligência Artificial E Computacional, 2020, Online. Scarton, C. E., Silva, D. F., Bontcheva, K. Measuring What Counts: the Case Of Rumour Stance Classification. In: International Joint Conference On Natural Language Processing, 2020.
Leite, J. A., Silva, D. F., Scarton, C. E., Bontcheva, K. Toxic Language Detection In Social Media For Brazilian Portuguese: New Dataset And Multilingual Analysis. In: International Joint Conference On Natural Language Processing, 2020.
Silva, L. C., Zagatti, F. R., Sette, B. S., Silva, L. N. S., Lucredio, D., Silva, D. F., Caseli, H. M. Benchmarking Machine Learning Solutions In Production. In: 2020 19th IEEE International Conference On Machine Learning And Applications, 2020.
Silva, Y. G. A., Silva, D. F. On Convolutional Autoencoders To Speed Up Similarity-based Time Series Mining. In: 2020 IEEE International Conference On Big Data, 2020, Atlanta.
da Silva, A. C. M., Silva, D. F., Marcacini, R. M. 4mula: A Multitask, Multimodal, And Multilingual Dataset Of Music Lyrics And Audio Features. In: Brazilian Symposium On Multimedia And The Web, 2020, Online. Webmedia '20: Proceedings Of The Brazilian Symposium On Multimedia And The Web, 2020.
Yesiler, F., Tralie, C., Correya, A., Silva, D. F., Tovstogan, P., Gomez, E., Serra, X. Da-TACOS: A Dataset for Cover Song Identification and Understanding. In: International Society for Music Information Retrieval Conference (ISMIR), 2019.
Ueno, C. L. R. S., Braga, I. A., Silva, D. F. Towards an Instance-Level Meta-Learning-Based Ensemble for Time Series Classification. In: Brazilian Conference on Intelligent Systems (BRACIS), 2020.
Silva, D. F., Batista, G. E. A. P. A. Elastic Time Series Motifs and Discords. In: IEEE International Conference on Machine Learning and Applications (ICMLA), 2018.
Silva, D. F., Falcão, F. V., Andrade, N. Summarizing and Comparing Music Data and Its Application on Cover Song Identification. In: International Society for Music Information Retrieval Conference (ISMIR), 2018.
Padua, R., Carvalho, V. O., Rezende, S. O., Silva, D. F. Exploring Musical Relations Using Association Rule Networks. In: International Society for Music Information Retrieval Conference (ISMIR), 2018.
Reis, D., Maletzke, A., Silva, D. F., Batista, G. E. A. P. A. Classifying and Counting with Recurrent Contexts. ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (KDD), 2018.
Dau, H.A., Silva, D. F., Petitjean, F., Forestier, G., Bagnall, A., Keogh, E. Judicious Setting of Dynamic Time Warping’s Window Width Allows More Accurate Classification of Time Series. In: IEEE International Conference on Big Data, 2017.
Silva, D. F., Batista, G. E. A. P. A. Speeding Up All-Pairwise Dynamic Time Warping Matrix Calculation. In: SIAM International Conference on Data Mining (SDM), 2016.
Silva, D. F., Yeh, C.-C. M., Batista, G. E. A. P. A., Keogh, E. SiMPle: Assessing Music Similarity Using Subsequences Joins. In: International Society for Music Information Retrieval Conference (ISMIR), 2016.
Silva, D. F., Batista, G. E. A. P. A., Keogh, E. Prefix and Suffix Invariant Dynamic Time Warping. In: IEEE International Conference on Data Mining (ICDM), 2016.
Yeh, C. M., Zhu, Y., Ulanova, L., Begum, N., Ding, Y., Dau, H. A., Silva, D. F., Mueen, A., Keogh, E. Matrix Profile I: All Pairs Similarity Joins for Time Series: A Unifying View that Includes Motifs, Discords and Shapelets. In: IEEE International Conference on Data Mining (ICDM), 2016.
Giusti, R., Silva, D. F., Batista, G. E. A. P. A. Improved Time Series Classification with Representation Diversity and SVM.In: International Conference on Machine Learning and Applications (ICMLA), 2016.
Giusti, R., Silva, D. F., Batista, G. E. A. P. A. Time Series Classification with Representation Ensembles. In: International Symposium on Intelligent Data Analysis, 2015.
Silva, D. F., Souza, V. M. A., Batista, G. E. A. P. A. Music Shapelets for Fast Cover Song Recognition. In: International Society for Music Information Retrieval Conference (ISMIR), 2015.
Souza, V. M. A., Silva, D. F., Gama, J., Batista, G. E. A. P. A. Data Stream Classification Guided by Clustering on Nonstationary Environments and Extreme Verification Latency. In: SIAM International Conference on Data Mining (SDM), 2015.
Souza, V. M. A., Silva, D. F., Batista, G. E. A. P. A., Gama, J. Classification of evolving data streams with infinitely delayed labels. In: IEEE 14th International Conference on Machine Learning and Applications (ICMLA), 2015.
Lemes, C. I., Silva, D. F., Batista, G. E. A. P. A. Adding Diversity to Rank Examples in Anytime Nearest Neighbor Classification. In: International Conference on Machine Learning and Applications (ICMLA), 2014.
Silva, D. F., Rossi, R. G., Rezende, S. O., Batista, G. E. A. P. A. Music Classification by Transductive Learning Using Bipartite Heterogeneous Networks. In: International Society for Music Information Retrieval Conference (ISMIR), 2014.
Souza, V. M. A., Silva, D. F., Batista, G. E. A. P. A. Extracting Texture Features for Time Series Classification. In: International Conference on Pattern Recognition (ICPR), 2014.
Silva, D. F., Papadopoulos, H., Batista, G. E. A. P. A., Ellis, D. P. W. A Video Compression-based Approach To Measure Music Structural Similarity. In: International Society for Music Information Retrieval Conference (ISMIR), 2013.
Souza, V. M. A., Silva, D. F., Batista, G. E. A. P. A. Classification of Data Streams Applied to Insect Recognition: Initial Results. In: Brazilian Conference on Intelligent Systems (BRACIS), 2013.
Souza, V. M. A., Silva, D. F., Batista, G. E. A. P. A, Garcia, P. R. Avaliação de Classificadores para o Reconhecimento Automático de Insetos. In: Encontro Nacional de Inteligência Artificial e Computacional (ENIAC), 2013.
Silva, D. F., Souza, V. M. A., Batista, G. E. A. P. A. Time Series Classification Using Compression Distance of Recurrence Plots. In: IEEE International Conference on Data Mining (ICDM), 2013.
Silva, D. F., Souza, V. M. A., Batista, G. E. A. P. A., Keogh, E. J., Ellis, D. P. W. Applying Machine Learning and Audio Analysis Techniques to Insect Recognition in Intelligent Traps. In: International Conference on Machine Learning and Applications (ICMLA), 2013.
Silva, D. F., Souza, V. M. A., Batista, G. E. A. P. A., Giusti, R. Spoken Digit Recognition in Portuguese Using Line Spectral Frequencies. In: Ibero-American Conference on Artificial Intelligence (IBERAMIA), 2012.
Batista, G. E. A. P. A., Silva, D. F., Prati, R. C. An Experimental Design to Evaluate Class Imbalance Treatment Methods. In: International Conference on Machine Learning and Applications (ICMLA), 2012.
Silva, D. F., Batista, G. E. A. P. A., Keogh, E. J., Mafra-Neto, A. Resultados Preliminares na Classificação de Insetos Utilizando Sensores Ópticos. In: Encontro Nacional de Inteligência Artificial (ENIA), 2011.
Batista, G. E. A. P. A., Silva, D. F.. How k-Nearest Neighbor Parameters Affect its Performance. In: Argentine Symposium on Artificial Intelligence, 2009.
Silva, D. F., Batista, G. E. A. P. A.Uma Comparação Experimental de Métodos de Imputação de Valores Desconhecidos. In: Congresso da Academia Trinacional de Ciências, 2009.