Publications

Valejo, A. D. B. and Santos, W. O. and Naldi, M. C. and Zhao, L. A review and comparative analysis of coarsening algorithms on bipartite networks, Eur. Phys. J. Spec. Top., p. 1951-6401, 2021.

Zhu, Yan ; Gharghabi, Shaghayegh ; Silva, Diego Furtado ; Dau, Hoang Anh ; Yeh, Chin-chia Michael ; Shakibay Senobari, Nader ; Almaslukh, Abdulaziz ; Kamgar, Kaveh ; Zimmerman, Zachary ; Funning, Gareth ; Mueen, Abdullah ; Keogh, Eamonn. 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, V. 1, P. 1, 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.

Soares, Victor Hugo Andrade ; Campello, Ricardo J. G. B. ; Nourashrafeddin, Seyednaser ; Milios, Evangelos ; Naldi, Murilo Coelho . Combining semantic and term frequency similarities for text clustering. Knowledge and Information Systems, v. 61, p. 1485-1516, 2019.

Rodrigues, Larissa Ferreira ; Naldi, Murilo Coelho ; Mari, João Fernando . Comparing convolutional neural networks and preprocessing techniques for HEp-2 cell classification in immunofluorescence images. Computers in Biology and Medicine, v. 116, p. 1-14, 2019.

Santos, Joelson ; Syed, Talat ; Coelho Naldi, Murilo ; Campello, Ricardo J. G. B. ; Sander, Jorg . Hierarchical Density-Based Clustering using MapReduce. IEEE Transactions on Big Data, v. 1, p. 1-1, 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.

Oliveira, G.V. ; Coutinho, F.P. ; Campello, R.J.G.B. ; Naldi, M.C. Improving k -means through distributed scalable metaheuristics. Neurocomputing, v. 246, p. 45-57, 2017.

Falcao, F. V. ; Andrade, N. ; Figueiredo, F. ; Silva, D. F. ; Morais, F. . Measuring Disruption In Song Similarity Networks. In: International Society For Music Information Retrieval Conference, 2020, Online. Proceedings Of The International Society For Music Information Retrieval Conference.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, 2020.

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, 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.

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.

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), 2019.

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, 2019.

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.

Candido, Paulo L. ; Silva, Jonathan A. ; Faria, Elaine R. ; Naldi, Murilo C. Scalable Batch Stream Clustering with k Estimation. In: 2018 IEEE Congress on Evolutionary Computation (CEC), 2018, Rio de Janeiro. 2018 IEEE Congress on Evolutionary Computation (CEC), 2018. p. 1-8.

Rodrigues, Larissa Ferreira ; Naldi, Murilo Coelho; Mari, João Fernando. HEp-2 Cell Image Classification Based on Convolutional Neural Networks. In: 2017 Workshop of Computer Vision (WVC), 2017, Natal. 2017 Workshop of Computer Vision (WVC), 2017. p. 13-18.

Rodrigues, Larissa Ferreira ; Naldi, Murilo Coelho; Mari, João Fernando. Exploiting Convolutional Neural Networks and Preprocessing Techniques for HEp-2 Cell Classification in Immunofluorescence Images. In: 2017 30th SIBGRAPI Conference on Graphics, Patterns and Images (SIBGRAPI), 2017, Niterói. 2017 30th SIBGRAPI Conference on Graphics, Patterns and Images (SIBGRAPI), 2017. p. 170-177.

Pereira, Mariana Alves ; Faria, Elaine R. ; Naldi, Murilo C. Online Detection of Outliers in Clusters of Continuous Data Streaming. In: 2017 Brazilian Conference on Intelligent Systems (BRACIS), 2017, Uberlandia. 2017 Brazilian Conference on Intelligent Systems (BRACIS), 2017. p. 324-329.

Candido, Paulo L. ; Silva, Jonathan A. ; Faria, Elaine R. ; Naldi, Murilo C. Scalable Data Stream Clustering with k Estimation. In: 2017 Brazilian Conference on Intelligent Systems (BRACIS), 2017, Uberlândia. 2017 Brazilian Conference on Intelligent Systems (BRACIS), 2017. p. 336-341.