Mehmet Eren Ahsen

Publication Activity (10 Years)

Years Active: 2012-2023
Publications (10 Years): 14

Top Topics

Conditionally Independent

Compressed Sensing

Top Venues

J. Mach. Learn. Res.

Inf. Syst. Res.

Publications

Mehmet Eren Ahsen, Mehmet Ayvaci, Radha Mookerjee
When Machines Will Take Over? Algorithms for Human-Machine Collaborative Decision Making in Healthcare. HICSS (2023)
Wencui Han, Xunyi Wang, Mehmet Eren Ahsen, Sunil Wattal
The Societal Impact of Sharing Economy Platform Self-Regulations - An Empirical Investigation. Inf. Syst. Res. 33 (4) (2022)
Zhan Zhang, Yegin Genc, Dakuo Wang, Mehmet Eren Ahsen, Xiangmin Fan
Effect of AI Explanations on Human Perceptions of Patient-Facing AI-Powered Healthcare Systems. J. Medical Syst. 45 (6) (2021)
Mehmet Eren Ahsen, Yoojin Chun, Alexander Grishin, Galina Grishina, Gustavo Stolovitzky, Gaurav Pandey, Supinda Bunyavanich
NeTFactor, a framework for identifying transcriptional regulators of gene expression-based biomarkers. BCB (2020)
Mehmet Eren Ahsen, Robert M. Vogel, Gustavo A. Stolovitzky
R/PY-SUMMA: An R/Python Package for Unsupervised Ensemble Learning for Binary Classification Problems in Bioinformatics. J. Comput. Biol. 27 (9) (2020)
Mehmet Eren Ahsen, Mathukumalli Vidyasagar
An Approach to One-Bit Compressed Sensing Based on Probably Approximately Correct Learning Theory. J. Mach. Learn. Res. 20 (2019)
Mehmet Eren Ahsen, Mehmet U. S. Ayvaci, Srinivasan Raghunathan
When Algorithmic Predictions Use Human-Generated Data: A Bias-Aware Classification Algorithm for Breast Cancer Diagnosis. Inf. Syst. Res. 30 (1) (2019)
Yu-Wei Lin, Mehmet Eren Ahsen, Michael Shaw, Sridhar Seshadri
The Impacts of Patients' Sentiment Trajectory Features on Their Willingness to Share in Online Support Groups. ICIS (2019)
Mehmet Eren Ahsen, Robert M. Vogel, Gustavo A. Stolovitzky
Unsupervised Evaluation and Weighted Aggregation of Ranked Classification Predictions. J. Mach. Learn. Res. 20 (2019)
Nitin K. Singh, Mehmet Eren Ahsen, Niharika Challapalli, Hyun-Seok Kim, Michael A. White, Mathukumalli Vidyasagar
Inferring Genome-Wide Interaction Networks Using the Phi-Mixing Coefficient, and Applications to Lung and Breast Cancer. IEEE Trans. Mol. Biol. Multi Scale Commun. 4 (3) (2018)
Mehmet Eren Ahsen, Robert M. Vogel, Gustavo Stolovitzky
Unsupervised Evaluation and Weighted Aggregation of Ranked Predictions. CoRR (2018)
Mehmet Eren Ahsen, Niharika Challapalli, Mathukumalli Vidyasagar
Two New Approaches to Compressed Sensing Exhibiting Both Robust Sparse Recovery and the Grouping Effect. J. Mach. Learn. Res. 18 (2017)
Mehmet Eren Ahsen, Todd P. Boren, Nitin K. Singh, Burook Misganaw, Jayanthi S. Lea, David S. Miller, Michael A. White, Mathukumalli Vidyasagar
Sparse Feature Selection for Classification and Prediction of Metastasis in Endometrial Cancer: Extended Abstract. BCB (2016)
Niharika Challapalli, Mehmet Eren Ahsen, Mathukumalli Vidyasagar
Modelling drug response and resistance in cancer: Opportunities and challenges. CDC (2016)
Mehmet Eren Ahsen, Mathukumalli Vidyasagar
An approach to one-bit compressed sensing based on probably approximately correct learning theory. CDC (2015)
Mehmet Eren Ahsen, Mathukumalli Vidyasagar
A PAC learning approach to one-bit compressed sensing. ACC (2015)
Burook Misganaw, Mehmet Eren Ahsen, Nitin K. Singh, Keith A. Baggerly, Anna Unruh, Michael A. White, Mathukumalli Vidyasagar
Optimized prediction of extreme treatment outcomes in ovarian cancer. CDC (2015)
Mehmet Eren Ahsen, Mathukumalli Vidyasagar
Near-ideal behavior of compressed sensing algorithms. CDC (2014)
Mehmet Eren Ahsen, Mathukumalli Vidyasagar
Near-ideal behavior of some compressed sensing algorithms. ECC (2014)
Eyuphan Bulut, Mehmet Eren Ahsen, Boleslaw K. Szymanski
Opportunistic wireless charging for mobile social and sensor networks. GLOBECOM Workshops (2014)
Mehmet Eren Ahsen, Mathukumalli Vidyasagar
Mixing Coefficients Between Discrete and Real Random Variables: Computation and Properties. IEEE Trans. Autom. Control. 59 (1) (2014)
Mehmet Eren Ahsen, M. Vidyasagar
On the computation of mixing coefficients between discrete-valued random variables. ASCC (2013)
Nitin K. Singh, Mehmet Eren Ahsen, Shiva Mankala, M. Vidyasagar, Michael A. White
Inferring weighted and directed gene interaction networks from gene expression data using the phi-mixing coefficient. GENSiPS (2012)
Mehmet Eren Ahsen, Nitin K. Singh, Todd P. Boren, M. Vidyasagar, Michael A. White
A new feature selection algorithm for two-class classification problems and application to endometrial cancer. CDC (2012)
Mehmet Eren Ahsen, Hitay Özbay, Silviu-Iulian Niculescu
Stability Analysis of a Dynamical Model Representing Gene Regulatory Networks. TDS (2012)
Nitin K. Singh, Mehmet Eren Ahsen, Shiva Mankala, M. Vidyasagar, Michael A. White
A novel application of mixing coefficients for reverse-engineering gene interaction networks. Allerton Conference (2012)