Abstract: In the field of computational pathology, multiple instance learning (MIL) has become a critical modeling framework for analyzing gigapixel whole-slide images (WSIs). Data scarcity, ...
Programmers learning Rust struggle to understand own\x02ership types, Rust’s core mechanism for ensuring memory safety ...
AI video models can be talked out of the truth. Even after seeing the right answer, they cave to confident users, rewrite reality, and invent fake explanations to justify it. AI is wrong enough, often ...
Modality-agnostic decoders leverage modality-invariant representations in human subjects' brain activity to predict stimuli irrespective of their modality (image, text, mental imagery).
ABSTRACT: Air pollution has become a pressing challenge to global public health and environmental governance. Accurate analysis of pollutant concentrations critically depends on the completeness of ...
Neoadjuvant chemotherapy (NAC) is a cornerstone of breast cancer management, and accurate prediction of therapeutic efficacy is essential for optimizing treatment strategies and improving patient ...
The single, deficit-based model of autism has recently come under scrutiny, as research revealed subgroups differing in symptoms, developmental trajectory, and genetic drivers of the disorder (Litman ...
(RTTNews) - Shares of Exicure Inc. (XCUR) were up over 65% at $8.69 in overnight trading, following the presentation of positive topline phase 2 data for Burixafor in multiple myeloma at the ASH ...
Abstract: Multiple instance learning (MIL) is a flexible learning framework where data is organized into sets of instances, called bags, with a single label assigned to the entire bag instead of ...
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