Adoption of Computer Aided Software Engineering (CASE) Technology: An Innovation Adoption Perspective. - G. Premkumar; Michael Potter (Data Base, 1995)

A Biologically Motivated Phase-Offset to the Piecewise-Linear Model of Instantaneous Heart-Rate Interpolation. - Michael Potter; Witold Kinsner (IEEE ICCI, 2006)

Direct Calculation of the Fractal Singularity Spectrum. - Michael Potter; Witold Kinsner (IEEE ICCI, 2007)

Direct Calculation of the f(α) Fractal Dimension Spectrum from High-Dimensional Correlation-Integral Partitions. - Michael Potter; Witold Kinsner (ICASSP (3), 2007)

Improved Event Interval Reconstruction in Synthetic Electrocardiograms. - Michael Potter; Witold Kinsner (IEEE Trans. Biomed. Eng., 2009)

The Logic of The Tractatus. - Michael Potter (Logic from Russell to Church, 2009)

Cost-effective surgical registration using consumer depth cameras. - Michael Potter; Ziv Yaniv (Image-Guided Procedures, 2016)

Neural networks and the search for a quadratic residue detector. - Michael Potter; Leon Reznik; Stanislaw P. Radziszowski (IJCNN, 2017)

Discrete exterior calculus approach for discretizing Maxwell's equations on face-centered cubic grids for FDTD. - Mahbod Salmasi; Michael Potter (J. Comput. Phys., 2018)

Impact of Inference Accelerators on hardware selection. - Dibyajyoti Pati; Caroline Favart; Purujit Bahl; Vivek Soni; Yun-Chan Tsai; Michael Potter; Jiahui Guan; Xiaomeng Dong; V. Ratna Saripalli (CoRR, 2019)

FastEstimator: A Deep Learning Library for Fast Prototyping and Productization. - Xiaomeng Dong; Junpyo Hong; Hsi-Ming Chang; Michael Potter; Aritra Chowdhury; Purujit Bahl; Vivek Soni; Yun-Chan Tsai; Rajesh Tamada; Gaurav Kumar; Caroline Favart; V. Ratna Saripalli; et al. (CoRR, 2019)

Low-Light Environment Neural Surveillance. - Michael Potter; Henry Gridley; Noah Lichtenstein; Kevin Hines; John Nguyen; Jacob Walsh (MLSP, 2020)

AI-Assisted Annotator Using Reinforcement Learning. - V. Ratna Saripalli; Dibyajyoti Pati; Michael Potter; Gopal Avinash; Charles W. Anderson (SN Comput. Sci., 2020)

Automating Augmentation Through Random Unidimensional Search. - Xiaomeng Dong; Michael Potter; Gaurav Kumar; Yun-Chan Tsai; V. Ratna Saripalli (CoRR, 2021)

To Raise or Not To Raise: The Autonomous Learning Rate Question. - Xiaomeng Dong; Tao Tan; Michael Potter; Yun-Chan Tsai; Gaurav Kumar; V. Ratna Saripalli (CoRR, 2021)

GRU4RecBE: A Hybrid Session-Based Movie Recommendation System (Student Abstract). - Michael Potter; Hamlin Liu; Yash Lala; Christian Loanzon; Yizhou Sun (AAAI, 2022)

Dynamics-aware Representation Learning via Multivariate Time Series Transformers. - Michael Potter; Ilkay Yildiz Potter; Octavia I. Camps; Mario Sznaier (ESANN, 2022)

Optimizing Data Augmentation Policy Through Random Unidimensional Search. - Xiaomeng Dong; Michael Potter; Gaurav Kumar; Yun-Chan Tsai; V. Ratna Saripalli; Theodore B. Trafalis (LION, 2022)

Autonomous Learning Rate Optimization for Deep Learning. - Xiaomeng Dong; Tao Tan; Michael Potter; Yun-Chan Tsai; Gaurav Kumar; V. Ratna Saripalli; Theodore B. Trafalis (LION, 2022)

Adversarial Focal Loss: Asking Your Discriminator for Hard Examples. - Chen Liu; Xiaomeng Dong; Michael Potter; Hsi-Ming Chang; Ravi Soni (CoRR, 2022)

Bayesian Weapon System Reliability Modeling with Cox-Weibull Neural Network. - Michael Potter; Benny Cheng (CoRR, 2023)

Do Bayesian Neural Networks Improve Weapon System Predictive Maintenance? - Michael Potter; Miru Jun (CoRR, 2023)

Robust Survival Analysis with Adversarial Regularization. - Michael Potter; Stefano Maxenti; Michael Everett (CoRR, 2023)

Design of an Integrated Project-Based Learning Curriculum: Analysis Through Fink's Taxonomy of Significant Learning. - Robyn Mae Paul; Yani Jazayeri; Laleh Behjat; Michael Potter (IEEE Trans. Educ., 2023)

Distributed Genetic Algorithm for Feature Selection. - Michael Potter; Ayberk Yarkin Yildiz; Nishanth Marer Prabhu; Cameron Gordon (CoRR, 2024)

Autonomous Robot for Disaster Mapping and Victim Localization. - Michael Potter; Rahil Bhowal; Richard Zhao; Anuj Patel; Jingming Cheng (CoRR, 2024)

To raise or not to raise: the autonomous learning rate question. - Xiaomeng Dong; Tao Tan; Michael Potter; Yun-Chan Tsai; Gaurav Kumar; V. Ratna Saripalli; Theodore B. Trafalis (Ann. Math. Artif. Intell., 2024)

Survival Analysis with Adversarial Regularization. - Michael Potter; Stefano Maxenti; Michael Everett (ICHI, 2025)

Multistatic-Radar RCS-Signature Recognition of Aerial Vehicles: A Bayesian Fusion Approach. - Michael Potter; Murat Akçakaya; Marius Necsoiu; Gunar Schirner; Deniz Erdogmus; Tales Imbiriba (IEEE Trans. Aerosp. Electron. Syst., 2025)

Active Learning For Repairable Hardware Systems With Partial Coverage. - Michael Potter; Beyza Kalkanli; Deniz Erdogmus; Michael Everett (CoRR, 2025)

Recursive Deep Inverse Reinforcement Learning. - Paul Ghanem; Michael Potter; Owen Howell; Pau Closas; Alireza Ramezani; Deniz Erdogmus; Tales Imbiriba (CoRR, 2025)

Continuously Optimizing Radar Placement With Model-Predictive Path Integrals. - Michael Potter; Shuo Tang; Paul Ghanem; Milica Stojanovic; Pau Closas; Murat Akçakaya; Ben Wright; Marius Necsoiu; Deniz Erdogmus; Michael Everett; Tales Imbiriba (IEEE Trans. Aerosp. Electron. Syst., 2025)