Publications

(2021). Reinforcement Learning based Disease Progression Model for Alzheimer's Disease. Advances in Neural Information Processing Systems (accepted).

(2021). Independent dynamics of low, intermediate, and high frequency spectral intracranial EEG activities during human memory formation. NeuroImage.

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(2020). Low Predictability of Readmissions and Death Using Machine Learning in Cirrhosis. American Journal of Gastroenterology.

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(2020). Sex is associated with differences in gut microbial composition and function in hepatic encephalopathy. Journal of Hepatology.

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(2020). Predicting Longitudinal Cognitive Scores Using Baseline Imaging and Clinical Variables. 2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI).

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(2019). Unsupervised machine-learning classification of electrophysiologically active electrodes during human cognitive task performance. Scientific reports.

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(2019). A Joint Model for Predicting Structural and Functional Brain Health in Elderly Individuals. 2019 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

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(2019). A Computationally Efficient Model for Predicting Successful Memory Encoding Using Machine-Learning-based EEG Channel Selection. 2019 9th International IEEE/EMBS Conference on Neural Engineering (NER).

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(2019). Human verbal memory encoding is hierarchically distributed in a continuous processing stream. eNeuro.

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(2017). EEG-GRAPH: A factor-graph-based model for capturing spatial, temporal, and observational relationships in electroencephalograms. Advances in Neural Information Processing Systems.

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(2017). An index policy for dynamic pricing in cloud computing under price commitments. Applicationes Mathematicae.

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(2016). Distributed and asynchronous methods for semi-supervised learning. International Workshop on Algorithms and Models for the Web-Graph.

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(2015). Composer classification based on temporal coding in adaptive spiking neural networks. 2015 International Joint Conference on Neural Networks (IJCNN).

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