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Machine learning

Pareto Optimization Identifies Diverse Set of Phosphorylation Signatures Predicting Response to Treatment with Dasatinib

Martin Klammer, J. Nikolaj Dybowski, Daniel Hoffmann, Christoph Schaab

A neural network framework for predicting dynamic variations in heterogeneous social networks

Mathiarasi Balakrishnan, Geetha T. V.

A Novel Maximum Entropy Markov Model for Human Facial Expression Recognition

Muhammad Hameed Siddiqi, Md. Golam Rabiul Alam, [ ... ], Hyunseung Choo

Novel ensemble learning approach with SVM-imputed ADASYN features for enhanced cervical cancer prediction

Raafat M. Munshi

A survival analysis based volatility and sparsity modeling network for student dropout prediction

Feng Pan, Bingyao Huang, [ ... ], Zhengchen Li

Integration of Attributes from Non-Linear Characterization of Cardiovascular Time-Series for Prediction of Defibrillation Outcomes

Sharad Shandilya, Michael C. Kurz, Kevin R. Ward, Kayvan Najarian

Identifying the evidence of speech emotional dialects using artificial intelligence: A cross-cultural study

Sofia Kanwal, Sohail Asghar, Akhtar Hussain, Adnan Rafique

Disease control as an optimization problem

Miguel Navascués, Costantino Budroni, Yelena Guryanova

Improved semi-supervised autoencoder for deception detection

Hongliang Fu, Peizhi Lei, [ ... ], Jing Yang

Automated multi-class classification for prediction of tympanic membrane changes with deep learning models

Yeonjoo Choi, Jihye Chae, [ ... ], Joong Ho Ahn

Early diagnosis of Alzheimer’s Disease based on multi-attention mechanism

Xinli Yang, Kefen Hong, Denghui Zhang, Ke Wang

Automatic crack detection method for loaded coal in vibration failure process

Chengwu Li, Dihao Ai

Classification of mathematical test questions using machine learning on datasets of learning management system questions

Gun Il Kim, Sungtae Kim, Beakcheol Jang

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