Tag: computer-science · clear
48 items — page 1 of 2
The adaptive learning taxonomy for responsible large language model integration in higher education.
Suspected Caspofungin-Induced Visual Toxicity Manifesting as Temporary Decreased Vision: A Case Report.
Machine Learning-Based Predictive Model for Grade 3 Primary Graft Dysfunction Following Lung Transplantation: A Retrospective Cohort Study.
Integrative Single-Cell RNA Sequencing and Machine Learning Reveals Candidate Plasma Protein-Associated Gene Signatures for Osteoporosis: A Preliminary Exploratory in Silico Study.
House price prediction using a hybrid GRU-MLP based on binary whale optimization algorithm and ant colony optimization for hyperparameter tuning.
Efficient classical simulation of large-scale unitary cluster Jastrow circuits
Recent experiments on quantum computers have challenged the limits of classical computation in chemistry, simulating ground states of strongly correlated molecules. Many of these experiments have utilized the unitary cl…
EEG-based automated evaluation of automotive sound quality using ensemble deep learning.
Recognition of everyday activities using experiment data from wearable sensors: a deep learning-based framework.
Rapid identification of feline sporotrichosis by ATR-FTIR spectroscopy coupled with machine learning.
Customizable Bayesian adaptive testing with Python - The adaptivetesting package.
Association between video-based Pirani Böhm Sinclair score and treatment recommendations in recurrent clubfoot in walking-age children.
The Evolution of Digital Search: From Blue Links to Delegated Decision-Making
Digital search is undergoing a fundamental transformation from a human-driven process of discovery to an agent-mediated system of delegated decision-making. In the traditional model of digital search, users translate in…
Decomposing a Multi-Scale Optimization Framework for Grid-Integrated Electrolysis using Aggregate-Informed Benders
Demand response (DR) operation of electrolysis devices is gaining traction to capitalize on volatile electricity markets, but their dynamic operation poses challenges to the durability and lifespan of these systems. Our…
Deep learning-based detection of acid-fast bacilli in microscopy images: a systematic review.
Persona-Driven Data Augmentation for Disease Name Recognition Across Rare and General Disease Corpora: Comparative Evaluation Study.
Diagnostic Performance of Large Language Models for Orthopedic-Related Rare Diseases and Their Impact on Physicians' Diagnostic Accuracy: 2-Stage Comparative Evaluation Study Based on the Chinese Rare Disease Catalog.
Optimized Coherence Masking Improves Ultrasound Imaging of Kidney Cysts.
Predicting gross-total resection in skull base chondrosarcoma: a multi-institutional machine learning study.
Conspiracy Theory Rabbit Holes Emerge via Interacting Contagions
Why do people fall into conspiracy theory rabbit holes? Prior research explains rabbit holes via psychological and algorithmic causes, yielding inconsistent findings. Here, we argue that rabbit holes can also arise from…
Art as an Algorithmic Virus: Unifying the Generative Crash and AI Value Convergence via Cognitive Affordances
Generative AI inherently triggers a computational failure mode in human observers (a "generative crash") due to a lack of latent intentionality required for Inverse Reinforcement Learning (IRL) convergence. Artistic app…
Art as an Algorithmic Virus: Unifying the Generative Crash and AI Value Convergence via Cognitive Affordances
Generative AI inherently triggers a computational failure mode in human observers (a "generative crash") due to a lack of latent intentionality required for Inverse Reinforcement Learning (IRL) convergence. Artistic app…