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Mehmet Eren Ahsen
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2020 – today
- 2023
- [c16]Mehmet Eren Ahsen, Mehmet Ayvaci, Radha Mookerjee:
When Machines Will Take Over? Algorithms for Human-Machine Collaborative Decision Making in Healthcare. HICSS 2023: 5733-5740 - 2022
- [j9]Wencui Han
, Xunyi Wang
The Societal Impact of Sharing Economy Platform Self-Regulations - An Empirical Investigation. Inf. Syst. Res. 33(4): 1303-1323 (2022) - 2021
- [j8]Zhan Zhang
Effect of AI Explanations on Human Perceptions of Patient-Facing AI-Powered Healthcare Systems. J. Medical Syst. 45(6): 64 (2021) - 2020
- [j7]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): 1337-1340 (2020) - [c15]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: 18:1-18:13
2010 – 2019
- 2019
- [j6]Mehmet Eren Ahsen, Mehmet U. S. Ayvaci
When Algorithmic Predictions Use Human-Generated Data: A Bias-Aware Classification Algorithm for Breast Cancer Diagnosis. Inf. Syst. Res. 30(1): 97-116 (2019) - [j5]Mehmet Eren Ahsen, Mathukumalli Vidyasagar:
An Approach to One-Bit Compressed Sensing Based on Probably Approximately Correct Learning Theory. J. Mach. Learn. Res. 20: 11:1-11:23 (2019) - [j4]Mehmet Eren Ahsen, Robert M. Vogel, Gustavo A. Stolovitzky:
Unsupervised Evaluation and Weighted Aggregation of Ranked Classification Predictions. J. Mach. Learn. Res. 20: 166:1-166:40 (2019) - [c14]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 - 2018
- [j3]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): 123-139 (2018) - [i1]Mehmet Eren Ahsen, Robert M. Vogel, Gustavo Stolovitzky:
Unsupervised Evaluation and Weighted Aggregation of Ranked Predictions. CoRR abs/1802.04684 (2018) - 2017
- [j2]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: 54:1-54:24 (2017) - 2016
- [c13]Mehmet Eren Ahsen
Sparse Feature Selection for Classification and Prediction of Metastasis in Endometrial Cancer: Extended Abstract. BCB 2016: 522-524 - [c12]Niharika Challapalli, Mehmet Eren Ahsen
Modelling drug response and resistance in cancer: Opportunities and challenges. CDC 2016: 2488-2493 - 2015
- [c11]Mehmet Eren Ahsen
A PAC learning approach to one-bit compressed sensing. ACC 2015: 4228-4230 - [c10]Burook Misganaw, Mehmet Eren Ahsen, Nitin K. Singh, Keith A. Baggerly, Anna Unruh
Optimized prediction of extreme treatment outcomes in ovarian cancer. CDC 2015: 1254-1258 - [c9]Mehmet Eren Ahsen
An approach to one-bit compressed sensing based on probably approximately correct learning theory. CDC 2015: 7377-7379 - 2014
- [j1]Mehmet Eren Ahsen
Mixing Coefficients Between Discrete and Real Random Variables: Computation and Properties. IEEE Trans. Autom. Control. 59(1): 34-47 (2014) - [c8]Mehmet Eren Ahsen
Near-ideal behavior of compressed sensing algorithms. CDC 2014: 6354-6357 - [c7]Mehmet Eren Ahsen
Near-ideal behavior of some compressed sensing algorithms. ECC 2014: 2216-2218 - [c6]Eyuphan Bulut, Mehmet Eren Ahsen
Opportunistic wireless charging for mobile social and sensor networks. GLOBECOM Workshops 2014: 207-212 - 2013
- [c5]Mehmet Eren Ahsen
On the computation of mixing coefficients between discrete-valued random variables. ASCC 2013: 1-5 - 2012
- [c4]Nitin K. Singh, Mehmet Eren Ahsen
A novel application of mixing coefficients for reverse-engineering gene interaction networks. Allerton Conference 2012: 1461-1466 - [c3]Mehmet Eren Ahsen
A new feature selection algorithm for two-class classification problems and application to endometrial cancer. CDC 2012: 2976-2982 - [c2]Nitin K. Singh, Mehmet Eren Ahsen
Inferring weighted and directed gene interaction networks from gene expression data using the phi-mixing coefficient. GENSiPS 2012: 168-171 - [c1]Mehmet Eren Ahsen
Stability Analysis of a Dynamical Model Representing Gene Regulatory Networks. TDS 2012: 191-196
Coauthor Index
aka: M. Vidyasagar
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