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Romena Yasmin
Romena Yasmin
Graduate Student, Industrial Engineering, School of Computing and Augmented Intelligence
Verified email at asu.edu
Title
Cited by
Cited by
Year
An axiomatic distance methodology for aggregating multimodal evaluations
AR Escobedo, E Moreno-Centeno, R Yasmin
Information Sciences 590, 322-345, 2022
152022
Enhancing image classification capabilities of crowdsourcing-based methods through expanded input elicitation
R Yasmin, JT Grassel, MM Hassan, O Fuentes, AR Escobedo
Proceedings of the AAAI Conference on Human Computation and Crowdsourcing 9 …, 2021
62021
Derivations of large classes of facet-defining inequalities of the weak order polytope using ranking structures
AR Escobedo, R Yasmin
arXiv preprint arXiv:2008.03799, 2020
52020
Improving Crowdsourcing-Based Image Classification through Expanded Input Elicitation and Machine Learning
R Yasmin, MM Hassan, JT Grassel, H Bhogaraju, O Fuentes, ...
Frontiers in Artificial Intelligence 5, 135, 2022
42022
A comparison of axiomatic distance-based collective intelligence methods for wireless sensor network state estimation in the presence of information injection
JK Skolfield, R Yasmin, AR Escobedo, LM Huie
2020 IEEE 6th World Forum on Internet of Things (WF-IoT), 1-6, 2020
12020
Fundamental Methods in Machine Learning II
R Yasmin
IISE Annual Conference and Expo, 2023
2023
A Principled Methodology for Challenging the Single Ground Truth Assumption
R Yasmin, AR Escobedo
IISE Annual Conference and Expo, 2023
2023
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Articles 1–7