850 citations
- University of OxfordGB80 papers
- Tsinghua UniversityCN79 papers
- University of ManchesterGB78 papers
- University of Chinese Academy of SciencesCN75 papers
- Istituto Nazionale di Fisica Nucleare, Laboratori Nazionali di FrascatiIT72 papers
- Uppsala UniversitySE72 papers
- Shandong UniversityCN70 papers
- University of Science and Technology of ChinaCN70 papers
- University of TarapacáCL69 papers
- Justus-Liebig-Universität GießenDE67 papers
- Johannes Gutenberg University MainzDE66 papers
- Nanjing UniversityCN65 papers
32 papers · 1 filter
Natural language processing of MIMIC-III clinical notes for identifying diagnosis and procedures with neural networks
Siddhartha Nuthakki, Sunil Neela, Judy W. Gichoya +1
Coding diagnosis and procedures in medical records is a crucial process in the healthcare industry, which includes the creation of accurate billings, receiving reimbursements from…
Proof of Federated Learning: A Novel Energy-recycling Consensus Algorithm
Xidi Qu, Shengling Wang, Qin Hu +1
Proof of work (PoW), the most popular consensus mechanism for Blockchain, requires ridiculously large amounts of energy but without any useful outcome beyond determining accounting…
An Uncertainty- and Collusion-Proof Voting Consensus Mechanism in Blockchain
Shengling Wang, Xidi Qu, Qin Hu +1
Though voting-based consensus algorithms in Blockchain outperform proof-based ones in energy- and transaction-efficiency, they are prone to incur wrong elections and bribery electi…
srlearn: A Python Library for Gradient-Boosted Statistical Relational Models
Alexander L. Hayes
We present srlearn, a Python library for boosted statistical relational models. We adapt the scikit-learn interface to this setting and provide examples for how this can be used to…
Joint Interaction and Trajectory Prediction for Autonomous Driving using Graph Neural Networks
Donsuk Lee, Yiming Gu, Jerrick Hoang +1
In this work, we aim to predict the future motion of vehicles in a traffic scene by explicitly modeling their pairwise interactions. Specifically, we propose a graph neural network…
Visual Tactile Fusion Object Clustering
Tao Zhang, Yang Cong, Gan Sun +2
Object clustering, aiming at grouping similar objects into one cluster with an unsupervised strategy, has been extensivelystudied among various data-driven applications. However, m…