A stochastic model is proposed for social networks in which the actors in a network are partitioned into subgroups called blocks. The model provides a stochastic generalization of the blockmodel. Estimation techniques are developed for t... PW Holland,KB Laskey,S Leinhardt - 《Social Networks》...
OpenFE evaluated the importance of each feature and removed those that did not contribute significantly to the model’s predictive power. Even though the dataset still contains over 3000 features for each variant, which could lead to over-fitting. So, we stepped further based on openFE to ...
The objective of the study was to define risk factors for peritoneal dissemination and haematogenous metastasis after curative resection of patients with an advanced gastric cancer. In retrospective analyses of 405 patients, 168 died of ... S Moriguchi,Y Maehara,D Korenaga,... - 《Surgical Oncol...
Parkinson's disease (PD) is the second most common neurodegenerative disease in the world. Identification of PD biomarkers is crucial for early diagnosis and to develop target-based therapeutic agents. Integrative analysis of genome-scale metabolic model
Models of Wind-Turbine Main Shaft Bearings for the Development of Specific Lightning Protection Systems One of the main causes of damages for wind-turbine power plants is lightning. Direct and indirect events, indeed, can produce damages and malfunctions of e... Napolitano, F.,Paolone, M.,Borg...
L. Bradley, Wolf's algorithm for computing Lyapunov Exponent from data, Technical Report Chaotic Dynamics–CSCI 6446,... E. Eberbach $-Calculus Bounded Rationality = Process Algebra + Anytime Algorithms Appl. Math.: Perspect. Challenges (2001) I. Erev et al. Predicting how people play games:...
Shanshan Feng (Centre for Frontier AI Research, ASTAR & Institute of High Performance Computing), Feiyu Meng, Lisi Chen, Shuo Shang, Yew Soon Ong*. KDD 2024 [link] Communication-efficient Multi-service Mobile Traffic Prediction by Leveraging Cross-service Correlations. Zhiying Feng (School of ...
The model is demonstrated using solar and wind generation and local load data from a real microgrid in Huatacondo, Chile, for one-day ahead forecasts to obtain the expected values together with fuzzy prediction intervals to represent future measurement bounds with a certain coverage probability. ...
Location Prediction over Sparse User Mobility Traces Using RNNs: Flashback in Hidden States!. Dingqi Yang, Benjamin Fankhauser, Paolo Rosso, and Philippe Cudre-Mauroux. IJCAI 2020. link Towards Alleviating Traffic Congestion: Optimal Route Planning for Massive-Scale Trips. Ke Li, Lisi Chen, Shuo...
Sex hormone binding globulin for prediction of gestational diabetes mellitus in pre-conception and pregnancy: A systematic review Aim: The purpose of the present study was to assess the relationship of sex hormone binding globulin (SHBG) and gestational diabetes mellitus (GDM). S Faal,P Abedi,S ...