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Romena Yasmin
Romena Yasmin
Graduate Student, Industrial Engineering, School of Computing and Augmented Intelligence
Zweryfikowany adres z asu.edu
Tytuł
Cytowane przez
Cytowane przez
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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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