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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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Effective insect recognition using a stacked autoencoder with maximum correntropy criterion., , , , , and . IJCNN, page 1-7. IEEE, (2015)Asfault: A low-cost system to evaluate pavement conditions in real-time using smartphones and machine learning., , and . Pervasive Mob. Comput., (2018)A Large Comparison of Normalization Methods on Time Series., and . Big Data Res., (November 2023)Combining Filtering and Cross-Correlation Efficiently for Streaming Time Series., , and . ACM Trans. Knowl. Discov. Data, 16 (5): 100:1-100:24 (2022)Time Series Prediction via Similarity Search: Exploring Invariances, Distance Measures and Ensemble Functions., , and . IEEE Access, (2022)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 Evolving Data Streams with Infinitely Delayed Labels., , , and . ICMLA, page 214-219. IEEE, (2015)An Open-Source Tool for Classification Models in Resource-Constrained Hardware., , and . CoRR, (2021)Septor: Seismic Depth Estimation Using Hierarchical Neural Networks., , , and . KDD, page 3889-3897. ACM, (2022)Classification of Data Streams Applied to Insect Recognition: Initial Results., , and . BRACIS, page 76-81. IEEE Computer Society, (2013)