Selective SDS Faculty Research

Articles

2024

• Yan, Xiaoliang, Wang, Zhichao, Puvvada, Mukunda Moulik, Dinar, Mahmoud, Rosen, David W., & Melkote, Shreyes N. (2024). A federated learning approach to automated and secure supplier selection in cyber manufacturing as-a-service. Journal of Manufacturing Systems, 77, 170-183.
• Fatima, Kaniz, Schuckers, Michael, Andrews, Tiffany, Cruz-Ortiz, Gerardo, Hou, Daqing, Marshall, Brandeis, Neupane, Ambuj, Sandip, Purnapatra, & Schuckers, Stephanie (2024). A large-scale study of performance and equity of commercial remote identity verification technologies across demographics. arXiv preprint arXiv:2409.12318.
• Shaikh, Shadab. A., Cherukuri, Harish, Balusu, Kranthi, Devanathan, Ram, & Soulami, Ayoub. (2024). Probabilistic Surrogate Model for Accelerating the Design of Electric Vehicle Battery Enclosures for Crash Performance. arXiv preprint arXiv:2408.03450.
• Fu, Zhe, Wang, Kanlun, Xin, Wangjiaxuan, Zhou, Lina, Chen, Shi, Ge, Yaorong, Janies, Daniel,  &  Zhang, Dongsong (2024). Detecting Misinformation in Multimedia Content through Cross-Modal Entity Consistency: A Dual Learning Approach.
• Grandinetti, Justin. (2024). Gluten-free apps, disability, and travel: Developing a critical heuristic for the implementation of mobile apps. Mobile Media & Communication, 20501579241259436. 
• Zhang, Dongsong, Zhou, Lina, Tao, Jie, Zhu, Tingshao, & Gao, Guodong (Gordon) (2024). KETCH: A Knowledge-Enhanced Transformer-Based Approach to Suicidal Ideation Detection from Social Media Content. Information Systems Research.
• Pinyoanuntapong, Ekkasit, Wang, Pu, Lee, Minwoo, & Chen, Chen (2024). Mmm: Generative masked motion model. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (pp. 1546-1555).
• Haque, Farsheed, Xu, Depeng, & Yuan, Shuhan (2024, June). Discovering and Mitigating Indirect Bias in Attention-Based Model Explanations. In Findings of the Association for Computational Linguistics: NAACL 2024 (pp. 1599-1614).
• Bishwal, Jaya. P. Parameter Estimation for Subdiffusions within Proteins in Nanoscale Biophysics.

2023

• Carr, Thomas, Lu, Aidong, & Xu, Depeng (2023, October). Linkage Attack on Skeleton-based Motion Visualization. In Proceedings of the 32nd ACM International Conference on Information and Knowledge Management (pp. 3758-3762).
• Hull, Gordon. (2023). Unlearning Descartes: Sentient AI is a Political Problem. Journal of Social Computing, 4(3), 193-204.
• Radford, Benjamin J., Dai, Yaoyao, Stoehr, Niklas, Schein, Aaron, Fernandez, Mya, & Sajid, Hanif (2023). Estimating conflict losses and reporting biases. Proceedings of the National Academy of Sciences, 120(34), e2307372120.
• Koenig, Nick, Tonidandel, Scott, Thompson, Isaac, Albritton, Betsy, Koohifar, Farshad, Yankov, Georgi, … & Newton, Charles (2023). Improving measurement and prediction in personnel selection through the application of machine learning. Personnel Psychology, 76(4), 1061-1123.
• Hull, Gordon (2023). Dirty data labeled dirt cheap: epistemic injustice in machine learning systems. Ethics and Information Technology, 25(3), 38.
• Gopalakrishnan, Seethalakshmi., Chen, Victor Z., Dou, Wenwen, Hahn-Powell, Gus, Nedunuri, Sreekar, & Zadrozny, Wlodek. (2023). Text to causal knowledge graph: A framework to synthesize knowledge from unstructured business texts into causal graphs. Information, 14(7), 367.
• Banks, George C., Ross, Roxanne, Toth, Allison A., Tonidandel, Scott, Goloujeh, Atefeh M., Dou, Wenwen, & Wesslen, Ryan (2023). The triangulation of ethical leader signals using qualitative, experimental, and data science methods. The Leadership Quarterly, 34(3), 101658.
• Shaikh, Shadab A., Cherukuri, Harish, & Khan, Taufiquar (2023). Recovering the Forcing Function in Systems with One Degree of Freedom Using ANN and Physics Information. Algorithms, 16(5), 250.
• Pinyoanuntapong, Ekkasit, Ali, Ayman, Wang, Pu, Lee, Minwoo, & Chen, Chen. (2023, June). Gaitmixer: skeleton-based gait representation learning via wide-spectrum multi-axial mixer. In ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (pp. 1-5). IEEE.
• Ingraham, Chris, & Grandinetti, Justin (2023). The privilege of taken for grantedness: On precarity and mobile media. new media & society, 25(4), 756-775.
• Thompson, Isaac, Koenig, Nick, Mracek, Derek L., & Tonidandel, Scott (2023). Deep learning in employee selection: Evaluation of algorithms to automate the scoring of open-ended assessments. Journal of Business and Psychology, 38(3), 509-527
• Almadan, Ali, Maher, Mary L., & Windett, Jason (2023, February). Stance Detection for Gauging Public Opinion: A Statistical Analysis of the Difference Between Tweet-Based and User-Based Stance in Twitter. In Future of Information and Communication Conference (pp. 358-374). Cham: Springer Nature Switzerland.
• Hua, Chengying, & Fan, Wey (David) (2023). Injury severity analysis of time-of-day fluctuations and temporal volatility in reverse sideswipe collisions: A random parameter model with heterogeneous means and heteroscedastic variances. Journal of safety research, 84, 74-85.
• Schuckers, Michael, Lopez, Michael, & Macdonald, Brian (2023). Estimation of player aging curves using regression and imputation. Annals of Operations Research, 325(1), 681-699.
• Han, Dongyun, Nayeem, Abdualla-Al-Raihan, Windett, Jason H., & Cho, Isaac (2023, February). Pdviz: A visual analytics approach for state policy data. In Computer Graphics Forum (Vol. 42, No. 1, pp. 305-318).
• Grandinetti, Justin, & Bruinsma, Jeffrey (2023). The affective algorithms of conspiracy TikTok. Journal of Broadcasting & Electronic Media, 67(3), 274-293.     
• Atkinson, Mary L., Mousavi, Reza, & Windett, Jason H. (2023). Detecting diverse perspectives: using text analytics to reveal sex differences in congressional debate about defense. Political Research Quarterly, 76(1), 75-89.
• Pan, Yinghao, Laber, Eric B., Smith, Maureen A., & Zhao, Ying-Qi (2023). Reinforced risk prediction with budget constraint using irregularly measured data from electronic health records. Journal of the American Statistical Association, 118(542), 1090-1101.

2022

• Yasmin, Farida, Zhang, Hengyou, Leamy, Larry, Wang, Baosheng, Winnike, Jason, Reid, Robert W., & Song, Bao-Hua (2022). Genetic basis and selection of glyceollin induction in wild soybean. bioRxiv, 2022-12.
• Tarnowska, Katarzyna A., Bagavathi, Arunkumar, & Ras, Zbigniew W. (2022). High-performance actionable knowledge miner for boosting business revenue. Applied Sciences, 12(23), 12393.
• Tarnowska, Katarzyna A., Ras, Zbigniew W., & Jastreboff, Pawel J. (2022). A data-driven approach to clinical decision support in tinnitus retraining therapy. Frontiers in neuroinformatics, 16, 934433.
• Bishwal, Jaya P. (2022). Mle evolution equation for fractional diffusions and Berry-Esseen inequality of stochastic gradient descent algorithm for american option. European Journal of Statistics, 2, 13-13.
• Goettel, Wolfgang, Zhang, Hengyou, Li, Ying, Qiao, Zhenzhen, Jiang, He, Hou, Dianyun, Song, Bao-Hua, Yu, Deyue, & An, Yong-qiang C. (2022). POWR1 is a domestication gene pleiotropically regulating seed quality and yield in soybean. Nature Communications, 13(1), 3051.  
• Mendieta, Mendieta, Yang, Taojiannan, Wang, Pu, Lee, Minwoo, Ding, Zhengming, & Chen, Chen (2022). Local learning matters: Rethinking data heterogeneity in federated learning. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (pp. 8397-8406). 
• Radford, Ben J. (2022). High resolution conflict forecasting with spatial convolutions and long short-term memory. International Interactions, 48(4), 739-758.

2021

• Song, Li, Fan, Wei (David), & Li, Yang (2021). Time-of-day variations and the temporal instability of multi-vehicle crash injury severities under the influence of alcohol or drugs after the Great Recession. Analytic methods in accident research, 32, 100183.
• Wallace, Lauren A., Paul, Rajib, Gholizadeh, Shafie, Zadrozny, Wlodek, Webster, Caitlan, Mayfield, Melanie, & Racine, Elizabeth F. (2021). Neighborhood disadvantage and the sales of unhealthy products: alcohol, tobacco and unhealthy snack food. BMC Public Health, 21, 1-8.
• Pan, Yinghao, & Zhao, Ying-Qi (2021). Improved doubly robust estimation in learning optimal individualized treatment rules. Journal of the American Statistical Association, 116(533), 283-294.