Results 21 to 30 of about 78,546 (297)

Abstract Argumentation for Hybrid Intelligence Scenarios

open access: yes, 2022
Hybrid Intelligence (HI) is the combination of human and machine intelligence, expanding human intellect instead of replacing it. Information in HI scenarios is often inconsistent, e.g.
van Riemsdijk, M. Birna   +8 more
core   +1 more source

Value-Based Hybrid Intelligence

open access: yes, 2023
In this paper, we argue that the way we have been training and evaluating ML models has largely forgotten the fact that they are applied in an organization or societal context as they provide value to people. We show that with this perspective we fundamentally change how we evaluate and select machine learning models.
Sayin, Burcu   +3 more
openaire   +3 more sources

MFNet: Mutual Feature-Aware Networks for Remote Sensing Change Detection

open access: yesRemote Sensing, 2023
Remote sensing change detection involves detecting pixels that have changed from a bi-temporal image of the same location. Current mainstream change detection models use encoder-decoder structures as well as Siamese networks.
Qi Zhang   +5 more
doaj   +1 more source

Measure and Manage Trust in Human-AI Conversations

open access: yes, 2023
Presented on October 12, 2023 at 12:30 p.m. in the Technology Square Research Building, 1st floor auditorium.Mengyao Li is an Assistant Professor in the School of Psychology at Georgia Tech.
Li, Mengyao
core  

Data-driven Huntington’s disease progression modelling and estimation of societal cost in the UK

open access: yesRoyal Society Open Science
We develop a Huntington’s disease (HD) progression model and integrate this with a novel economic model, accounting for the major factors of the HD’s societal cost.
Andrew Pollard   +5 more
doaj   +1 more source

A Conceptual Framework for Applying Ethical Principles of AI to Medical Practice

open access: yesBioengineering
Artificial Intelligence (AI) is reshaping healthcare through advancements in clinical decision support and diagnostic capabilities. While human expertise remains foundational to medical practice, AI-powered tools are increasingly matching or exceeding ...
Debesh Jha   +14 more
doaj   +1 more source

Prediction of photovoltaic power output based on similar day analysis using RBF neural network with adaptive black widow optimization algorithm and K-means clustering

open access: yesFrontiers in Energy Research, 2022
Solar photovoltaic power generation has become the focus of the world energy market. However, weak continuity and variability of solar power data severely increase grid operating pressure.
Hui Liu   +10 more
doaj   +1 more source

Towards the Design of Hybrid Intelligence Frontline Service Technologies – A Novel Human-in-the-Loop Configuration for Human-Machine Interactions

open access: yes, 2023
Rapid adoption of innovative technologies confront IT-Service-Management (ITSM) to incoming support requests of increasing complexity. As a consequence, job demands and turnover rates of ITSM support agents increase.
Reh, Cornelius   +3 more
core   +4 more sources

H-ViT: hardware-friendly post-training quantization for efficient vision transformer inference

open access: yesAutonomous Intelligent Systems
Vision Transformers (ViTs) have achieved state-of-the-art performance on various computer vision tasks. However these models are memory-consuming and computation-intensive, making their deployment and efficient inference on edge devices challenging ...
Jing Liu   +4 more
doaj   +1 more source

Ethical framework for responsible foundational models in medical imaging

open access: yesFrontiers in Medicine
The emergence of foundational models represents a paradigm shift in medical imaging, offering extraordinary capabilities in disease detection, diagnosis, and treatment planning.
Debesh Jha   +40 more
doaj   +1 more source

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