Summary of Large Language Model Capabilities in Perioperative Risk Prediction and Prognostication, by Philip Chung et al.
Large Language Model Capabilities in Perioperative Risk Prediction and Prognosticationby Philip Chung, Christine T Fong,…
Summary of A Novel Paradigm For Neural Computation: X-net with Learnable Neurons and Adaptable Structure, by Yanjie Li et al.
A Novel Paradigm for Neural Computation: X-Net with Learnable Neurons and Adaptable Structureby Yanjie Li,…
Summary of Uncertainty Resolution in Misinformation Detection, by Yury Orlovskiy et al.
Uncertainty Resolution in Misinformation Detectionby Yury Orlovskiy, Camille Thibault, Anne Imouza, Jean-François Godbout, Reihaneh Rabbany,…
Summary of Reviving the Context: Camera Trap Species Classification As Link Prediction on Multimodal Knowledge Graphs, by Vardaan Pahuja et al.
Reviving the Context: Camera Trap Species Classification as Link Prediction on Multimodal Knowledge Graphsby Vardaan…
Summary of Scalable Knowledge Graph Construction and Inference on Human Genome Variants, by Shivika Prasanna et al.
Scalable Knowledge Graph Construction and Inference on Human Genome Variantsby Shivika Prasanna, Deepthi Rao, Eduardo…
Summary of Consciousness As a Logically Consistent and Prognostic Model Of Reality, by Evgenii Vityaev
Consciousness as a logically consistent and prognostic model of realityby Evgenii VityaevFirst submitted to arxiv…
Summary of Unified Dimensionality Reduction Techniques in Chronic Liver Disease Detection, by Anand Karna et al.
Unified dimensionality reduction techniques in chronic liver disease detectionby Anand Karna, Naina Khan, Rahul Rauniyar,…
Summary of Enhance Long Text Understanding Via Distilled Gist Detector From Abstractive Summarization, by Yan Liu et al.
Enhance Long Text Understanding via Distilled Gist Detector from Abstractive Summarizationby Yan Liu, Yazheng YangFirst…
Summary of Generating Explainable Rule Sets From Tree-ensemble Learning Methods by Answer Set Programming, By Akihiro Takemura et al.
Generating Explainable Rule Sets from Tree-Ensemble Learning Methods by Answer Set Programmingby Akihiro Takemura, Katsumi…
Summary of Label-efficient Self-supervised Federated Learning For Tackling Data Heterogeneity in Medical Imaging, by Rui Yan et al.
Label-Efficient Self-Supervised Federated Learning for Tackling Data Heterogeneity in Medical Imagingby Rui Yan, Liangqiong Qu,…