Results 71 to 80 of about 6,993,713 (204)

Automated Prompting for Non-overlapping Cross-domain Sequential Recommendation [PDF]

, 2023
Cross-domain Recommendation (CR) has been extensively studied in recent years to alleviate the data sparsity issue in recommender systems by utilizing different domain information.
Wang, Xinhua, Zhu, Lei, Guo, Lei, Yin, Hongzhi, Wang, Chunxiao   +4 more
core   +1 more source

White Matter and Perivascular Imaging Changes in Alzheimer's Disease and Cerebral Amyloid Angiopathy

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Peak‐width of skeletonized mean diffusivity (PSMD) and diffusion tensor imaging–analysis along the perivascular space (DTI‐ALPS), reflecting white matter integrity and glymphatic function, are altered in Alzheimer's disease (AD).
Debina Laishram, Guangwei Du, Sangam Kanekar, Nandakumar Nagaraja   +3 more
wiley   +1 more source

Domain Disentanglement with Interpolative Data Augmentation for Dual-Target Cross-Domain Recommendation

, 2023
The conventional single-target Cross-Domain Recommendation (CDR) aims to improve the recommendation performance on a sparser target domain by transferring the knowledge from a source domain that contains relatively richer information.
Zhu, Jiajie, Zhu, Feng, Sun, Zhu, Wang, Yan   +3 more
core   +1 more source

Cross-Domain Explainable Recommendation Using Graph Convolutional Networks and a Topic Model

IEEE Access
Graph Convolutional Network (GCN)-based recommendation systems (RSs) have recently gained popularity for their ability to improve recommendation accuracy by utilizing neighborhood information in user-item interaction graphs.
Kunyoung Kim, Mye Sohn, Jongmo Kim
doaj   +1 more source

The Comprehensive Live Cell‐Based Cytotoxicity Assay for Monitoring Disease Activity and Guiding Rescue Therapy in Acute Attacks of NMOSD

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Neuromyelitis optica spectrum disorder (NMOSD) is a devastating neurological disease that lacks serological biomarkers that can accurately reflect disease activity. We established a live cell‐based assay (LCBA) using serum with endogenous complement to quantify the overall cytotoxicity, offering a novel functional tool for monitoring
Xiaona Xu, Jie Ding, Yupeng Du, Guibao Luo, Jinming Li, Rui Liu, Xiaoyi Xu, Xiao Li, Minshu Li, Wei Jiang, Chunsheng Yang   +10 more
wiley   +1 more source

Cross-domain based Event Recommendation using Tensor Factorization

Open Computer Science, 2016
Context in the form of meta-data has been accredited as an important component in cross-domain collaborative filtering (CDCF). In this research paper CDCF concept is used to exploit event information (context) from two UI matrices to allow the ...
Arora Anuja, Taneja Vaibhav, Parashar Sonali, Mishra Apurva   +3 more
doaj   +1 more source

Data‐Driven SuStaIn Model of Disability Progression in Amyotrophic Lateral Sclerosis

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To determine whether ordinal Subtype and Stage Inference (SuStaIn) applied to routine ALSFRS‐R item scores can identify reproducible disability progression patterns in amyotrophic lateral sclerosis (ALS) and provide clinically meaningful staging.
Giammarco Milella, Veria Vacchiano, Vittorio Velucci, Stefano Zoccolella, Rocco Liguori, Giovanni Defazio   +5 more
wiley   +1 more source

Clinical Variability and Genotype Driven Outcomes in an International Cohort of 14 Pediatric FIG4 Patients

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Biallelic FIG4 variants classically cause distinct conditions characterized by peripheral neuropathy (Charcot‐Marie‐Tooth disease type 4J) or skeletal dysplasia (Yunis‐Varón syndrome). However, central nervous system involvement is increasingly recognized. The prevalence and specific characteristics of movement disorders within FIG4‐
Andrea Gangfuß, Vykuntaraju K. Gowda, Daniel Natera‐de Benito, Pinki Munot, Maria Vanegas, Alejandra Darling, Constanze Reutlinger, Laura Carrera‐Garcia, Gilbert Wunderlich, Heike Kölbel, Burkhard Stüve, David Muhmann, Lucía Monfort Belenguer, Diana‐Gabriela Barca, Viveka Santhosh Reddy C, Varunvenkat M. Srinivasan, Cristina Molina Anguita, Heinz Jungbluth, Hormos Salimi Dafsari, Thomas Rossor, Johann Böhm, Ulrike Schara‐Schmidt, Andreas Roos   +22 more
wiley   +1 more source

Prompt-enhanced Federated Content Representation Learning for Cross-domain Recommendation [PDF]

Cross-domain Recommendation (CDR) as one of the effective techniques in alleviating the data sparsity issues has been widely studied in recent years.
Hung, Nguyen Quoc Viet, Lu, Ziang, Yu, Junliang, Nguyen, Quoc Viet Hung, Guo, Lei, Yin, Hongzhi   +5 more
core   +1 more source

SemStim: Exploiting knowledge graphs for cross-domain recommendation

, 2022
S.999-1006In this paper we introduce SemStim, an unsupervised graph-based algorithm that addresses the cross-domain recommendation task. In this task, preferences from one conceptual domain (e.g.
Heitmann, Benjamin, Hayes, Conor
core   +1 more source