A novel application of mixing coefficients for reverse-engineering gene interaction networks. - Nitin K. Singh; Mehmet Eren Ahsen; Shiva Mankala; M. Vidyasagar; Michael A. White (Allerton Conference, 2012)

A new feature selection algorithm for two-class classification problems and application to endometrial cancer. - Mehmet Eren Ahsen; Nitin K. Singh; Todd P. Boren; M. Vidyasagar; Michael A. White (CDC, 2012)

Inferring weighted and directed gene interaction networks from gene expression data using the phi-mixing coefficient. - Nitin K. Singh; Mehmet Eren Ahsen; Shiva Mankala; M. Vidyasagar; Michael A. White (GENSiPS, 2012)

Stability Analysis of a Dynamical Model Representing Gene Regulatory Networks. - Mehmet Eren Ahsen; Hitay Özbay; Silviu-Iulian Niculescu (TDS, 2012)

On the computation of mixing coefficients between discrete-valued random variables. - Mehmet Eren Ahsen; M. Vidyasagar (ASCC, 2013)

Near-ideal behavior of compressed sensing algorithms. - Mehmet Eren Ahsen; Mathukumalli Vidyasagar (CDC, 2014)

Near-ideal behavior of some compressed sensing algorithms. - Mehmet Eren Ahsen; Mathukumalli Vidyasagar (ECC, 2014)

Opportunistic wireless charging for mobile social and sensor networks. - Eyuphan Bulut; Mehmet Eren Ahsen; Boleslaw K. Szymanski (GLOBECOM Workshops, 2014)

Mixing Coefficients Between Discrete and Real Random Variables: Computation and Properties. - Mehmet Eren Ahsen; Mathukumalli Vidyasagar (IEEE Trans. Autom. Control., 2014)

A PAC learning approach to one-bit compressed sensing. - Mehmet Eren Ahsen; Mathukumalli Vidyasagar (ACC, 2015)

Optimized prediction of extreme treatment outcomes in ovarian cancer. - Burook Misganaw; Mehmet Eren Ahsen; Nitin K. Singh; Keith A. Baggerly; Anna Unruh; Michael A. White; Mathukumalli Vidyasagar (CDC, 2015)

Sparse Feature Selection for Classification and Prediction of Metastasis in Endometrial Cancer: Extended Abstract. - Mehmet Eren Ahsen; Todd P. Boren; Nitin K. Singh; Burook Misganaw; Jayanthi S. Lea; David S. Miller; Michael A. White; Mathukumalli Vidyasagar (BCB, 2016)

Modelling drug response and resistance in cancer: Opportunities and challenges. - Niharika Challapalli; Mehmet Eren Ahsen; Mathukumalli Vidyasagar (CDC, 2016)

Two New Approaches to Compressed Sensing Exhibiting Both Robust Sparse Recovery and the Grouping Effect. - Mehmet Eren Ahsen; Niharika Challapalli; Mathukumalli Vidyasagar (J. Mach. Learn. Res., 2017)

Unsupervised Evaluation and Weighted Aggregation of Ranked Predictions. - Mehmet Eren Ahsen; Robert M. Vogel; Gustavo Stolovitzky (CoRR, 2018)

Inferring Genome-Wide Interaction Networks Using the Phi-Mixing Coefficient, and Applications to Lung and Breast Cancer. - Nitin K. Singh; Mehmet Eren Ahsen; Niharika Challapalli; Hyun-Seok Kim; Michael A. White; Mathukumalli Vidyasagar (IEEE Trans. Mol. Biol. Multi Scale Commun., 2018)

The Impacts of Patients' Sentiment Trajectory Features on Their Willingness to Share in Online Support Groups. - Yu-Wei Lin; Mehmet Eren Ahsen; Michael Shaw; Sridhar Seshadri (ICIS, 2019)

When Algorithmic Predictions Use Human-Generated Data: A Bias-Aware Classification Algorithm for Breast Cancer Diagnosis. - Mehmet Eren Ahsen; Mehmet U. S. Ayvaci; Srinivasan Raghunathan (Inf. Syst. Res., 2019)

An Approach to One-Bit Compressed Sensing Based on Probably Approximately Correct Learning Theory. - Mehmet Eren Ahsen; Mathukumalli Vidyasagar (J. Mach. Learn. Res., 2019)

Unsupervised Evaluation and Weighted Aggregation of Ranked Classification Predictions. - Mehmet Eren Ahsen; Robert M. Vogel; Gustavo A. Stolovitzky (J. Mach. Learn. Res., 2019)

NeTFactor, a framework for identifying transcriptional regulators of gene expression-based biomarkers. - Mehmet Eren Ahsen; Yoojin Chun; Alexander Grishin; Galina Grishina; Gustavo Stolovitzky; Gaurav Pandey; Supinda Bunyavanich (BCB, 2020)

R/PY-SUMMA: An R/Python Package for Unsupervised Ensemble Learning for Binary Classification Problems in Bioinformatics. - Mehmet Eren Ahsen; Robert M. Vogel; Gustavo A. Stolovitzky (J. Comput. Biol., 2020)

Effect of AI Explanations on Human Perceptions of Patient-Facing AI-Powered Healthcare Systems. - Zhan Zhang; Yegin Genc; Dakuo Wang; Mehmet Eren Ahsen; Xiangmin Fan (J. Medical Syst., 2021)

The Societal Impact of Sharing Economy Platform Self-Regulations - An Empirical Investigation. - Wencui Han; Xunyi Wang; Mehmet Eren Ahsen; Sunil Wattal (Inf. Syst. Res., 2022)

When Machines Will Take Over? Algorithms for Human-Machine Collaborative Decision Making in Healthcare. - Mehmet Eren Ahsen; Mehmet Ayvaci; Radha Mookerjee (HICSS, 2023)

Leveraging Social Media for COVID-19 Response: Insights from a Data Competition. - Mehmet Eren Ahsen; Ashish Khandelwal; Ramanath Subramanyam; Anton Ivanov; Dmitrii Sumkin; Ujjal Kumar Mukherjee; Sridhar Seshadri (Found. Trends Technol. Inf. Oper. Manag., 2025)