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Titlebook: Advances in Artificial Intelligence and Applied Cognitive Computing; Proceedings from ICA Hamid R. Arabnia,Ken Ferens,Fernando G. Tinetti C

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51#
發(fā)表于 2025-3-30 09:51:36 | 只看該作者
Angela Apessos,Georgios Nasioulasas “keyframes” that identify important steps or changes in the learning state. This keyframing process provides a compact representation for use by learner-adaptive processes (including assessment and tailoring) and simplifies the challenges of using machine learning as a mechanism for adaptation.
52#
發(fā)表于 2025-3-30 14:57:36 | 只看該作者
53#
發(fā)表于 2025-3-30 20:14:17 | 只看該作者
https://doi.org/10.1007/978-3-642-82964-2s discovery work, the authors present a systematic approach using knowledge graph representations and graph embeddings to discover tactics . from data characteristics (DISTRIBUTION STATEMENT A. Approved for public release; distribution unlimited. (OPSEC #4189)).
54#
發(fā)表于 2025-3-30 22:13:35 | 只看該作者
https://doi.org/10.1007/978-1-4615-6571-0onal autoencoder and generative adversarial network, it provides better feature extraction to gather relevant data and solves the complexity. With the combination of VAE and GAN, elevated-level visual abstraction can be made effectively.
55#
發(fā)表于 2025-3-31 01:21:31 | 只看該作者
Methods to Predict Response to Chemotherapy, memory model successfully learns the desired features associated with the atomic trajectory and rapidly generates predictions that are in excellent agreement with the results from chemistry dynamics simulations. The accuracy of the prediction is better than expected.
56#
發(fā)表于 2025-3-31 08:33:30 | 只看該作者
https://doi.org/10.1007/978-0-387-74039-3ustration images and real-object images, and we verified whether the pseudo illustrated image which processed contour processing and the color reduction processing to the real image is effective for the recognition of the illustrated image.
57#
發(fā)表于 2025-3-31 11:16:29 | 只看該作者
Environmental and Occupational Exposures, maps to gain insights into the agents’ decision-making processes. We find that attention maps enable a qualitative assessment for the data-efficiency of a pretrained agent when transferred to the real-world setup.
58#
發(fā)表于 2025-3-31 16:59:49 | 只看該作者
Conference proceedings 2021l Conference on Applied Cognitive Computing (ACC’20). The conferences took place in Las Vegas, NV, USA, July 27-30, 2020, and are part of the larger 2020 World Congress in Computer Science, Computer Engineering, & Applied Computing (CSCE‘20), which features 20 major tracks. Topics include: deep lear
59#
發(fā)表于 2025-3-31 20:14:05 | 只看該作者
60#
發(fā)表于 2025-4-1 00:25:10 | 只看該作者
Introduction: Living with Breast Cancerperformance. The application domains include diagnosing diseases, finance, agriculture, search engines, robot vision, and many others. In this paper, we are proposing an architecture that utilizes image/video captioning methods and Natural Language Processing systems to generate a title and a concis
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