Jinbo Bi
Professor/Computing
Dimension Reduction and Cluster Analysis of Mouse Microbiome Data for Understanding Heterogeneity of Addiction
2022
Research Type: Poster/Presentation

Damage Detection from Aerial Images
2022
Research Type: Poster/Presentation

Machine Learning for Identifying Alcohol Misuse Biotypes from Multi-Dimensional Data
2022
Research Type: Poster/Presentation

Comparison between Machine Learning and Process-Based Model in Capturing the Yield Spatiotemporal Variability and Extremes in the U.S. Corn Belt
2022
Qinqing Liu, Meijian Yang, Jinbo Bi, Guiling Wang
Research Type: Poster/Presentation

Artificial Intelligence for drug discovery
2021
Research Type: Poster/Presentation

Inferring phenotypes from substance use via collaborative matrix completion
2019
Research Type: Poster/Presentation

Restoration of neural activity supporting working memory in schizophrenia by computer-based cognitive remediation training
2018
Jinbo Bi, Jason Johannesen
Research Type: Poster/Presentation

View imputation via generative adversarial networks
2017
Research Type: Poster/Presentation

1-norm support vector machine on single-trial EEG and ECG data to identify neural oscillatory features in the ketamine model for schizophrenia: using your head and following your heart.
2017
Carolyn I Rodriguez, Xiao Yang, Jinbo Bi, Lawrence S Kegeles, Chi-ming Chen, Jason K Johannesen, Aaron Palmer
Research Type: Poster/Presentation

A Genome-wide Association Analysis with Cocaine Use Disorder Accounting for both Phenotypic Heterogeneity and Gene-Environment Interplay
2017
Jinbo Bi, Jiangwen Sun
Research Type: Poster/Presentation

Promoting Community Wellness via Mobile Technologies
2017
Research Type: Poster/Presentation

A genome-wide association analysis with cocaine use disorder accounting for both phenotypic heterogeneity and gene-environmental interplay
2017
Research Type: Poster/Presentation

Gait-based Continuous Authentication Using Multimodal Learning
2017
Ioannis Papavasileiou, Song Han, Savanna Smith, Jinbo Bi
Research Type: Poster/Presentation

Multiview Bi- Clustering to Identify Smartphone Sensing Features Indicative of Depression
2016
Asma Farhan, Jinbo Bi, Athanasos Bamis, Alexander Russell, Jin Lu, Bing Wang
Research Type: Poster/Presentation

Behavior vs. introspection: Refining prediction of clinical depression via smartphone sensing data
2016
Bing Wang, Jayesh Kamath, Jinbo Bi, Alexander Russell, Chaoqun Yue, Asma Ahmad Farhan, Shweta Ware, Athanasios Bamis, Reynaldo Morillo
Research Type: Poster/Presentation

Machine Learning to Identify Highly Heritable Components of Substance Use Disorders
2016
Jiangwen Sun, Henry Kranzler, Jinbo Bi
Research Type: Poster/Presentation

Classifying addiction using machine learning of multi-dimensional data
2016
Research Type: Poster/Presentation

Machine learning to identify highly heritable components of substance use disorders
2016
Jiangwen Sun, Jinbo Bi
Research Type: Poster/Presentation

Prediction of Clinical Depression using Smartphone Sensory Data
2016
Jayesh Kamath, Jinbo Bi
Research Type: Poster/Presentation

A Tensor-based Machine Classification Approach to EEG Feature Detection: Examination of Working Memory Network Dysfunction in Schizophrenia
2016
Tingyang Xu, Jason Johannesen, Joshua Kenney, Chi-ming Chen, Jinbo Bi
Research Type: Poster/Presentation