5 hours ago · Machine learning research focuses on the improvement of prediction performance. ... This is a systematic literature review of the application of machine learning ...
13 hours ago · This study addresses the prediction of CAN bus data, a lesser-explored aspect within unsupervised anomaly detection research. We propose the Fast-Gated ...
5 hours ago · Reference analysis produces objective Bayesian inference, in the sense that inferential statements depend only on the assumed model and the available data, and ...
16 hours ago · (2018) review the techniques for interpreting deep neural networks, highlighting the approaches that enhance human-AI collaboration. 2. Neural Networks and ...
6 hours ago · 198 Machine learning-based forecasting of daily acute ischemic stroke admissions using weather data. Santhanam, N.; Kim, H. E.; Ruegamer, D.; Bender, A ...
8 hours ago · The authors in the literature review [17] highlight the importance of a standard terminology in Human Resources Management (HRM) for properly addressing ...
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6 hours ago · We propose a new theoretical framework for the cogni- tive underpinnings of perception and action planning, the. Theory of Event Coding (TEC).
19 hours ago · The tutorial: combining asynchronous and synchronous learning. in: Banks, S. Networked Lifelong. Learning: innovative approaches to education and training ...
23 hours ago · While machine learning has shown to be a promising approach for predicting such time series, it either demands long training time and much training data ...
22 hours ago · 【36】 TE-SSL: Time and Event-aware Self Supervised Learning for Alzheimer's Disease Progression Analysis ... Although advanced deep learning techniques ...
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