Mehmet Eren Ahsen

Orcid: 0000-0002-4907-0427

According to our database1, Mehmet Eren Ahsen authored at least 25 papers between 2012 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
When Machines Will Take Over? Algorithms for Human-Machine Collaborative Decision Making in Healthcare.
Proceedings of the 56th Hawaii International Conference on System Sciences, 2023

2022
The Societal Impact of Sharing Economy Platform Self-Regulations - An Empirical Investigation.
Inf. Syst. Res., December, 2022

2021
Effect of AI Explanations on Human Perceptions of Patient-Facing AI-Powered Healthcare Systems.
J. Medical Syst., 2021

2020
R/PY-SUMMA: An R/Python Package for Unsupervised Ensemble Learning for Binary Classification Problems in Bioinformatics.
J. Comput. Biol., 2020

NeTFactor, a framework for identifying transcriptional regulators of gene expression-based biomarkers.
Proceedings of the BCB '20: 11th ACM International Conference on Bioinformatics, 2020

2019
Unsupervised Evaluation and Weighted Aggregation of Ranked Classification Predictions.
J. Mach. Learn. Res., 2019

An Approach to One-Bit Compressed Sensing Based on Probably Approximately Correct Learning Theory.
J. Mach. Learn. Res., 2019

When Algorithmic Predictions Use Human-Generated Data: A Bias-Aware Classification Algorithm for Breast Cancer Diagnosis.
Inf. Syst. Res., 2019

The Impacts of Patients' Sentiment Trajectory Features on Their Willingness to Share in Online Support Groups.
Proceedings of the 40th International Conference on Information Systems, 2019

2018
Inferring Genome-Wide Interaction Networks Using the Phi-Mixing Coefficient, and Applications to Lung and Breast Cancer.
IEEE Trans. Mol. Biol. Multi Scale Commun., 2018

Unsupervised Evaluation and Weighted Aggregation of Ranked Predictions.
CoRR, 2018

2017
Two New Approaches to Compressed Sensing Exhibiting Both Robust Sparse Recovery and the Grouping Effect.
J. Mach. Learn. Res., 2017

2016
Modelling drug response and resistance in cancer: Opportunities and challenges.
Proceedings of the 55th IEEE Conference on Decision and Control, 2016

Sparse Feature Selection for Classification and Prediction of Metastasis in Endometrial Cancer: Extended Abstract.
Proceedings of the 7th ACM International Conference on Bioinformatics, 2016

2015
Optimized prediction of extreme treatment outcomes in ovarian cancer.
Proceedings of the 54th IEEE Conference on Decision and Control, 2015

A PAC learning approach to one-bit compressed sensing.
Proceedings of the American Control Conference, 2015

2014
Mixing Coefficients Between Discrete and Real Random Variables: Computation and Properties.
IEEE Trans. Autom. Control., 2014

Opportunistic wireless charging for mobile social and sensor networks.
Proceedings of the 2014 IEEE GLOBECOM Workshops, Austin, TX, USA, December 8-12, 2014, 2014

Near-ideal behavior of some compressed sensing algorithms.
Proceedings of the 13th European Control Conference, 2014

Near-ideal behavior of compressed sensing algorithms.
Proceedings of the 53rd IEEE Conference on Decision and Control, 2014

2013
On the computation of mixing coefficients between discrete-valued random variables.
Proceedings of the 9th Asian Control Conference, 2013

2012
Stability Analysis of a Dynamical Model Representing Gene Regulatory Networks.
Proceedings of the 10th IFAC Workshop on Time Delay Systems, 2012

Inferring weighted and directed gene interaction networks from gene expression data using the phi-mixing coefficient.
Proceedings of the Proceedings 2012 IEEE International Workshop on Genomic Signal Processing and Statistics, 2012

A new feature selection algorithm for two-class classification problems and application to endometrial cancer.
Proceedings of the 51th IEEE Conference on Decision and Control, 2012

A novel application of mixing coefficients for reverse-engineering gene interaction networks.
Proceedings of the 50th Annual Allerton Conference on Communication, 2012


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