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AutoMixer for Improved Multivariate Time-Series Forecasting on BizITOps Data.

, , , , , , , , , , , , , и . CoRR, (2023)

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Arindam Chatterjee

Arindam Khan

Chaiwat Jatisatienr

Arayar Jatisatienr

Ignasius Radix Astadi Praptono Jati

 

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The Role of Empirical Mode Decomposition on Emotion Classification Using Stimulated EEG Signals., , , , , , и . ACITY (3), том 178 из Advances in Intelligent Systems and Computing, стр. 55-62. Springer, (2012)Multimodal and Multiresolution Depression Detection from Speech and Facial Landmark Features., , , , и . AVEC@ACM Multimedia, стр. 43-50. ACM, (2016)Towards Predicting Physiology from Speech During Stressful Conversations: Heart Rate and Respiratory Sinus Arrhythmia., , , и . ICASSP, стр. 4944-4948. IEEE, (2018)Speaker2Vec: Unsupervised Learning and Adaptation of a Speaker Manifold Using Deep Neural Networks with an Evaluation on Speaker Segmentation., и . INTERSPEECH, стр. 3567-3571. ISCA, (2017)Multi-Task Discriminative Training of Hybrid DNN-TVM Model for Speaker Verification with Noisy and Far-Field Speech., , , , , , , и . INTERSPEECH, стр. 2463-2467. ISCA, (2019)Neural Predictive Coding using Convolutional Neural Networks towards Unsupervised Learning of Speaker Characteristics., и . CoRR, (2018)Hierarchy-aware Loss Function on a Tree Structured Label Space for Audio Event Detection., , , и . ICASSP, стр. 6-10. IEEE, (2019)Characterizing dynamically varying acoustic scenes from egocentric audio recordings in workplace setting., , , и . CoRR, (2019)Neural Predictive Coding Using Convolutional Neural Networks Toward Unsupervised Learning of Speaker Characteristics., и . IEEE ACM Trans. Audio Speech Lang. Process., 27 (10): 1577-1589 (2019)Tiny Time Mixers (TTMs): Fast Pre-trained Models for Enhanced Zero/Few-Shot Forecasting of Multivariate Time Series., , , , , , и . CoRR, (2024)