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Artificial intelligence

A general prediction model for the detection of ADHD and Autism using structural and functional MRI

Bhaskar Sen, Neil C. Borle, Russell Greiner, Matthew R. G. Brown

Virtual screening by a new Clustering-based Weighted Similarity Extreme Learning Machine approach

Kitsuchart Pasupa, Wasu Kudisthalert

Protein subnuclear localization based on a new effective representation and intelligent kernel linear discriminant analysis by dichotomous greedy genetic algorithm

Shunfang Wang, Yaoting Yue

Predicting essential proteins by integrating orthology, gene expressions, and PPI networks

Xue Zhang, Wangxin Xiao, Xihao Hu

Readmission prediction via deep contextual embedding of clinical concepts

Cao Xiao, Tengfei Ma, [ ... ], Fei Wang

Emotion computing using Word Mover’s Distance features based on Ren_CECps

Fuji Ren, Ning Liu

Artificial neural network model for predicting the bioavailability of tacrolimus in patients with renal transplantation

Kalluri Thishya, Kiran Kumar Vattam, [ ... ], Vijay Kumar Kutala

Biometric recognition via texture features of eye movement trajectories in a visual searching task

Chunyong Li, Jiguo Xue, [ ... ], Chenggang Zhang

A deep-learning classifier identifies patients with clinical heart failure using whole-slide images of H&E tissue

Jeffrey J. Nirschl, Andrew Janowczyk, [ ... ], Anant Madabhushi

Dengue forecasting in São Paulo city with generalized additive models, artificial neural networks and seasonal autoregressive integrated moving average models

Oswaldo Santos Baquero, Lidia Maria Reis Santana, Francisco Chiaravalloti-Neto

Empirical radio propagation model for DTV applied to non-homogeneous paths and different climates using machine learning techniques

Igor Ruiz Gomes, Cristiane Ruiz Gomes, Herminio Simões Gomes, Gervásio Protásio dos Santos Cavalcante

Personalized survival predictions via Trees of Predictors: An application to cardiac transplantation

Jinsung Yoon, William R. Zame, [ ... ], Mihaela van der Schaar

Statistical and Machine Learning forecasting methods: Concerns and ways forward

Spyros Makridakis, Evangelos Spiliotis, Vassilios Assimakopoulos

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