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Effective insect recognition using a stacked autoencoder with maximum correntropy criterion.

, , , , , and . IJCNN, page 1-7. IEEE, (2015)

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Asfault: A low-cost system to evaluate pavement conditions in real-time using smartphones and machine learning., , and . Pervasive and Mobile Computing, (2018)Effective insect recognition using a stacked autoencoder with maximum correntropy criterion., , , , , and . IJCNN, page 1-7. IEEE, (2015)Towards Automatic Evaluation of Asphalt Irregularity Using Smartphone's Sensors., , , and . IDA, volume 10584 of Lecture Notes in Computer Science, page 322-333. Springer, (2017)Classification of Data Streams Applied to Insect Recognition: Initial Results., , and . BRACIS, page 76-81. IEEE Computer Society, (2013)Classification of Evolving Data Streams with Infinitely Delayed Labels., , , and . ICMLA, page 214-219. IEEE, (2015)Evaluation of statistical and machine learning models for time series prediction: Identifying the state-of-the-art and the best conditions for the use of each model., , and . Inf. Sci., (2019)Asphalt pavement classification using smartphone accelerometer and Complexity Invariant Distance.. Eng. Appl. of AI, (2018)Spoken Digit Recognition in Portuguese Using Line Spectral Frequencies., , , and . IBERAMIA, volume 7637 of Lecture Notes in Computer Science, page 241-250. Springer, (2012)Extracting Texture Features for Time Series Classification., , and . ICPR, page 1425-1430. IEEE Computer Society, (2014)CID: an efficient complexity-invariant distance for time series., , , and . Data Min. Knowl. Discov., 28 (3): 634-669 (2014)