Summary of Baner: Boundary-aware Llms For Few-shot Named Entity Recognition, by Quanjiang Guo et al.
BANER: Boundary-Aware LLMs for Few-Shot Named Entity Recognitionby Quanjiang Guo, Yihong Dong, Ling Tian, Zhao…
Summary of Diabetic Retinopathy Classification From Retinal Images Using Machine Learning Approaches, by Indronil Bhattacharjee et al.
Diabetic Retinopathy Classification from Retinal Images using Machine Learning Approachesby Indronil Bhattacharjee, Al-Mahmud, Tareq MahmudFirst…
Summary of Fgatt: a Robust Framework For Wireless Data Imputation Using Fuzzy Graph Attention Networks and Transformer Encoders, by Jinming Xing et al.
FGATT: A Robust Framework for Wireless Data Imputation Using Fuzzy Graph Attention Networks and Transformer…
Summary of Who’s Gaming the System? a Causally-motivated Approach For Detecting Strategic Adaptation, by Trenton Chang et al.
Who’s Gaming the System? A Causally-Motivated Approach for Detecting Strategic Adaptationby Trenton Chang, Lindsay Warrenburg,…
Summary of Predicting the Impact Of Scope Changes on Project Cost and Schedule Using Machine Learning Techniques, by Soheila Sadeghi
Predicting the Impact of Scope Changes on Project Cost and Schedule Using Machine Learning Techniquesby…
Summary of Revisiting the Initial Steps in Adaptive Gradient Descent Optimization, by Abulikemu Abuduweili and Changliu Liu
Revisiting the Initial Steps in Adaptive Gradient Descent Optimizationby Abulikemu Abuduweili, Changliu LiuFirst submitted to…
Summary of Explainable Artificial Intelligence For Medical Applications: a Review, by Qiyang Sun et al.
Explainable Artificial Intelligence for Medical Applications: A Reviewby Qiyang Sun, Alican Akman, Björn W. SchullerFirst…
Summary of Learning Aggregation Rules in Participatory Budgeting: a Data-driven Approach, by Roy Fairstein et al.
Learning Aggregation Rules in Participatory Budgeting: A Data-Driven Approachby Roy Fairstein, Dan Vilenchik, Kobi GalFirst…
Summary of A Novel Generative Multi-task Representation Learning Approach For Predicting Postoperative Complications in Cardiac Surgery Patients, by Junbo Shen et al.
A Novel Generative Multi-Task Representation Learning Approach for Predicting Postoperative Complications in Cardiac Surgery Patientsby…
Summary of Kernel-free Universum Quadratic Surface Twin Support Vector Machines For Imbalanced Data, by Hossein Moosaei et al.
Kernel-Free Universum Quadratic Surface Twin Support Vector Machines for Imbalanced Databy Hossein Moosaei, Milan Hladík,…