Results 101 to 110 of about 69,515 (313)
Explainable human‐in‐the‐loop healthcare image information quality assessment and selection
Abstract Smart healthcare applications cannot be separated from healthcare data analysis and the interactive interpretability between data and model. A human‐in‐the‐loop active learning approach is introduced to reduce the cost of healthcare data labelling by evaluating the information quality of unlabelled medical data and then screening the high ...
Yang Li, Sezai Ercisli
wiley +1 more source
On the Possibility of a General Purge of Self-Reference
My aim in this paper is to gather some evident in favor of the view that a general purge of self-reference is possible. I do this by considering a modal-epistemic version of the Liar Paradox introduced by Roy Cook.
Lucas Rosenblatt
doaj +1 more source
Automated Reasoning in Normative Detachment Structures with Ideal Conditions
Systems of deontic logic suffer either from being too expressive and therefore hard to mechanize, or from being too simple to capture relevant aspects of normative reasoning.
Libal, Tomer, Pascucci, Matteo
core +3 more sources
Synaptic Function in Memristor Devices for Neuromorphic Circuit Applications
Discover how neuromorphic devices mimic brain‐like learning: this article explores how ionic and electronic conduction processes enable artificial synapses to adapt across time scales. Uncover the essential ingredients—state‐variable dynamics, rectification, and memory—and how they can be probed through nonlinear diagnostics to engineer smarter, more ...
Juan Bisquert+3 more
wiley +1 more source
An information assistant system for the prevention of tunnel vision in crisis management [PDF]
In the crisis management environment, tunnel vision is a set of bias in decision makers’ cognitive process which often leads to incorrect understanding of the real crisis situation, biased perception of information, and improper decisions.
Cao, Yujia
core +2 more sources
The review highlights the multifunctional capabilities of thermoelectric sensors integrated with advanced features such as biocompatibility, advanced integration, self‐healing, and environmental adaptability. Emphasizing sustainability and adaptability, these sensors offer enhanced durability, increased efficiency, reduced waste, and seamless ...
Neeraj Dhariwal+9 more
wiley +1 more source
Neurons and symbols: a manifesto [PDF]
We discuss the purpose of neural-symbolic integration including its principles, mechanisms and applications. We outline a cognitive computational model for neural-symbolic integration, position the model in the broader context of multi-agent systems ...
Garcez, A.
core
In Situ Graph Reasoning and Knowledge Expansion Using Graph‐PRefLexOR
Graph‐PRefLexOR is a novel framework that enhances language models with in situ graph reasoning, symbolic abstraction, and recursive refinement. By integrating graph‐based representations into generative tasks, the approach enables interpretable, multistep reasoning.
Markus J. Buehler
wiley +1 more source
Deep Learning‐Assisted Design of Mechanical Metamaterials
This review examines the role of data‐driven deep learning methodologies in advancing mechanical metamaterial design, focusing on the specific methodologies, applications, challenges, and outlooks of this field. Mechanical metamaterials (MMs), characterized by their extraordinary mechanical behaviors derived from architected microstructures, have ...
Zisheng Zong+5 more
wiley +1 more source
Salience and pointing in multimodal reference [PDF]
Pointing combined with verbal referring is one of the most paradigmatic human multimodal behaviours. The aim of this paper is foundational: to uncover the central notions that are required for a computational model of human-generated multimodal referring
Piwek, Paul
core +2 more sources