Ece C. Mutlu

Orcid: 0000-0001-7441-5186

According to our database1, Ece C. Mutlu authored at least 15 papers between 2019 and 2022.

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

Timeline

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On csauthors.net:

Bibliography

2022
Contrastive Counterfactual Fairness in Algorithmic Decision-Making.
Proceedings of the AIES '22: AAAI/ACM Conference on AI, Ethics, and Society, Oxford, United Kingdom, May 19, 2022

2021
Quantum Contagion: A Quantum-Like Approach for the Analysis of Social Contagion Dynamics with Heterogeneous Adoption Thresholds.
Entropy, 2021

A Quantum Leap for Fairness: Quantum Bayesian Approach for Fair Decision Making.
Proceedings of the HCI International 2021 - Late Breaking Papers: Multimodality, eXtended Reality, and Artificial Intelligence, 2021

2020
Review on Learning and Extracting Graph Features for Link Prediction.
Mach. Learn. Knowl. Extr., 2020

A Stance Data Set on Polarized Conversations on Twitter about the Efficacy of Hydroxychloroquine as a Treatment for COVID-19.
CoRR, 2020

CD-SEIZ: Cognition-Driven SEIZ Compartmental Model for the Prediction of Information Cascades on Twitter.
CoRR, 2020

Quantifying Latent Moral Foundations in Twitter Narratives: The Case of the Syrian White Helmets Misinformation.
CoRR, 2020

Effects of Assortativity on Consensus Formation with Heterogeneous Agents.
CoRR, 2020

The Degree-Dependent Threshold Model: Towards a Better Understanding of Opinion Dynamics on Online Social Networks.
CoRR, 2020

Deep Agent: Studying the Dynamics of Information Spread and Evolution in Social Networks.
CoRR, 2020

Probabilistic Model of Narratives Over Topical Trends in Social Media: A Discrete Time Model.
Proceedings of the HT '20: 31st ACM Conference on Hypertext and Social Media, 2020

Do Bots Have Moral Judgement? The Difference Between Bots and Humans in Moral Rhetoric.
Proceedings of the IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2020

Quantum Probabilistic Models Using Feynman Diagram Rules for Better Understanding the Information Diffusion Dynamics in Online Social Networks.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Revisiting reweighted robust standard deviation estimators for univariate Shewhart S-charts.
Qual. Reliab. Eng. Int., 2019

Review on Graph Feature Learning and Feature Extraction Techniques for Link Prediction.
CoRR, 2019


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