Results 171 to 180 of about 60,468 (320)

Longitudinal Alzheimer’s Disease Progression Modelling via Hybrid Vision Transformers and Recurrent Neural Networks With Cross‐Modal Feature Fusion

Expert Systems, Volume 43, Issue 3, March 2026.
ABSTRACT Modelling the evolution of Alzheimer's disease (AD) requires a thorough spatiotemporal study of longitudinal neuroimaging data. We propose in this paper a novel deep learning framework that uses a parallel combination of Recurrent Neural Networks (RNNs) and Vision Transformers (ViT) to extract temporal disease dynamics and spatial structural ...
Sahbi Bahroun, Gwanggil Jeon
wiley   +1 more source

NeuroAgeFusionNet an ensemble deep learning framework integrating CNN, transformers, and GNN for robust brain age estimation using MRI scans. [PDF]

Sci Rep
Sowmya M, Dutta SR.
europepmc   +1 more source

Sequential Reservoir Computing for Log File‐Based Behavior Process Data Analyses

Journal of Educational Measurement, Volume 63, Issue 1, Spring 2026.
Abstract The use of process data in assessment has gained attention in recent years as more assessments are administered by computers. Process data, recorded in computer log files, capture the sequence of examinees' response activities, for example, timestamped keystrokes, during the assessment.
Jiawei Xiong, Shiyu Wang, Cheng Tang, Qidi Liu, Rufei Sheng, Bowen Wang, Huan Kuang, Allan S. Cohen, Xinhui Xiong   +8 more
wiley   +1 more source

An EEG Dataset on Aesthetic and Creative Judgments of Brief Structured Poetry. [PDF]

Sci Data
Chaudhuri S, Bhattacharya J.
europepmc   +1 more source

AI and Measurement Concerns: Dealing with Imbalanced Data in Autoscoring

Journal of Educational Measurement, Volume 63, Issue 1, Spring 2026.
Abstract Unbiasedness for proficiency estimates is important for autoscoring engines since the outcome might be used for future learning or placement. Imbalanced training data may lead to certain biases and lower the prediction accuracy for classification algorithms.
Yunting Liu, Yijun Xiang, Xutao Feng, Mark Wilson   +3 more
wiley   +1 more source

A comprehensive suite for extracting neuron signals across multiple sessions in one-photon calcium imaging. [PDF]

Nat Commun
Vergara P, Wang Y, Srinivasan S, Dong Z, Feng Y, Koyanagi I, Kumar D, Chérasse Y, Naoi T, Sugaya Y, Sakurai T, Kano M, Shuman T, Cai D, Yanagisawa M, Sakaguchi M.   +15 more
europepmc   +1 more source

Toward precision oncology: An integrative multi‐omics approach for prognosis prediction and inferred immunotherapy responsiveness in breast cancer

Clinical and Translational Discovery, Volume 6, Issue 1, February 2026.
We integrated four omics to build a breast cancer immunotherapy predictor. Survival‐associated biomarkers were compressed into 200 latent features via an autoencoder, then refined using three survival models. K‐means defined two subgroups (C1, high‐risk and C2, low‐risk).
Houda Bendani, Nasma Boumajdi, Lahcen Belyamani, Azeddine Ibrahimi   +3 more
wiley   +1 more source

A fault-tolerant neutral-atom architecture for universal quantum computation. [PDF]

Nature
Bluvstein D, Geim AA, Li SH, Evered SJ, Bonilla Ataides JP, Baranes G, Gu A, Manovitz T, Xu M, Kalinowski M, Majidy S, Kokail C, Maskara N, Trapp EC, Stewart LM, Hollerith S, Zhou H, Gullans MJ, Yelin SF, Greiner M, Vuletić V, Cain M, Lukin MD.   +22 more
europepmc   +1 more source

Effective Connectivity Reveals Dual‐Route Mechanism of Visual Prediction Precision via Insula and Pulvinar

Human Brain Mapping, Volume 47, Issue 2, 01 February 2026.
Using 7‐Tesla fMRI and dynamic causal modelling (DCM), we identified a dual‐route mechanism for high‐precision predictions: direct excitatory modulation from the insula to V1, and indirect inhibitory modulation from the insula to V1 via the pulvinar.
Linzhi Tao, Trevor Steward, Joshua Corbett, Rebecca K. Glarin, Tudor V. Sava, Marta I. Garrido   +5 more
wiley   +1 more source

Accurate detection of tandem repeats from error-prone sequences with EquiRep. [PDF]

Genome Res
Song Z, Zahin T, Li X, Shao M.
europepmc   +1 more source