Results 111 to 120 of about 28,537 (309)
Diversified Adaptive Stock Selection Using Continual Graph Learning and Ensemble Approach
IEEE AccessStock selection is essential for portfolio diversification to reduce risks and maximize profits. However, stock selection is challenging owing to the non-stationary nature of stock markets.
Jae-Seung Kim, Sang-Ho Kim, Ki-Hoon Lee
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Beneficial perturbation network for continual learning [PDF]
, 2019 Shixian Wen, Laurent Itti
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SpartanAnatomy.org: Evaluating a new interactive neuroradiology tool for early medical education
Anatomical Sciences Education, EarlyView.Abstract Teaching neuroanatomy through the lens of magnetic resonance imaging (MRI) offers medical students a strong foundation for success. However, many existing MRI learning resources lack interactivity and userâfriendliness, require payment, or include an overwhelming number of labeled structures.
Halie Kerver +3 more
wiley +1 more source
Seeing Objects in dark with Continual Contrastive Learning [PDF]
, 2021 Ujjal Kr Dutta
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Integrating yoga into anatomy and clinical medicine education: A holistic approach to learning
Anatomical Sciences Education, EarlyView.Abstract Anatomical knowledge is fundamental for success in clinical settings. Unfortunately, anatomy education within professional health programs has experienced a continual decrease in contact hours and curricular content over the previous two decades, leading to deficits and potential gaps in anatomical science knowledge.
Dana Rohde +4 more
wiley +1 more source
Deep Generative Replay-Based Personalization With Conditional Latent Attention for Diffusion Models
IEEE AccessRecent research on text-to-image diffusion models has involved personalization methods to learn novel concepts from a few user-provided images for target image generation.
Haruka Matsuda +4 more
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Federated probability memory recall for federated continual learning
, 2023 Zhe Wang +5 more
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Online Continual Learning via the Meta-learning Update with Multi-scale Knowledge Distillation and Data Augmentation [PDF]
, 2022 Yanan Han, Jianwei Liu
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Journal of the Association for Information Science and Technology, Volume 76, Issue 4, Page 649-664, April 2025.Abstract Many theories of human information behavior (HIB) assume that information objects are in text document format. This paper argues four important HIB theories are insufficient for describing users' search strategies for data because of assumptions about the attributes of objects that users seek.
Anthony J. Million +3 more
wiley +1 more source
Continual Semi-Supervised Malware Detection
Machine Learning and Knowledge ExtractionDetecting malware has become extremely important with the increasing exposure of computational systems and mobile devices to online services. However, the rapidly evolving nature of malicious software makes this task particularly challenging. Despite the
Matthew Chin, Roberto Corizzo
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