An axiomatic distance methodology for aggregating multimodal evaluations AR Escobedo, E Moreno-Centeno, R Yasmin Information Sciences 590, 322-345, 2022 | 18 | 2022 |
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 | 7 | 2022 |
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 | 7 | 2021 |
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 | 5 | 2020 |
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 | 1 | 2020 |
From Human Inputs to Actionable Insights: Expanding Data Aggregation Techniques and Models for Objective and Subjective Group Decision Making R Yasmin Arizona State University, 2024 | | 2024 |
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 |