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Sina Mohseni
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2020 – today
- 2023
- [j4]Sina Mohseni, Haotao Wang, Chaowei Xiao, Zhiding Yu, Zhangyang Wang, Jay Yadawa:
Taxonomy of Machine Learning Safety: A Survey and Primer. ACM Comput. Surv. 55(8): 157:1-157:38 (2023) - 2022
- [j3]Mousalreza Faramarzi Palangar, Sina Mohseni, Mohammad Mirzaie, Amin Mahmoudi:
Designing an Automatic Detector Device to Diagnose Insulator State on Overhead Distribution Lines. IEEE Trans. Ind. Informatics 18(2): 1072-1082 (2022) - [j2]Mousalreza Faramarzi Palangar, Sina Mohseni, Ahmed Abu-Siada, Mohammad Mirzaie:
Online Condition Monitoring of Overhead Insulators Using Pattern Recognition Algorithm. IEEE Trans. Instrum. Meas. 71: 1-11 (2022) - [c12]Sina Mohseni, Arash Vahdat, Jay Yadawa:
Shifting Transformation Learning for Robust Out-of-Distribution Detection. BMVC 2022: 679 - 2021
- [j1]Sina Mohseni, Niloofar Zarei, Eric D. Ragan:
A Multidisciplinary Survey and Framework for Design and Evaluation of Explainable AI Systems. ACM Trans. Interact. Intell. Syst. 11(3-4): 24:1-24:45 (2021) - [c11]Sina Mohseni, Fan Yang, Shiva K. Pentyala, Mengnan Du, Yi Liu, Nic Lupfer, Xia Hu, Shuiwang Ji, Eric D. Ragan:
Machine Learning Explanations to Prevent Overtrust in Fake News Detection. ICWSM 2021: 421-431 - [c10]Sina Mohseni, Jeremy E. Block, Eric D. Ragan:
Quantitative Evaluation of Machine Learning Explanations: A Human-Grounded Benchmark. IUI 2021: 22-31 - [i12]Sina Mohseni, Arash Vahdat, Jay Yadawa:
Multi-task Transformation Learning for Robust Out-of-Distribution Detection. CoRR abs/2106.03899 (2021) - [i11]Sina Mohseni, Haotao Wang, Zhiding Yu, Chaowei Xiao, Zhangyang Wang, Jay Yadawa:
Practical Machine Learning Safety: A Survey and Primer. CoRR abs/2106.04823 (2021) - 2020
- [c9]Sina Mohseni, Mandar Pitale, Vasu Singh, Zhangyang Wang:
Practical Solutions for Machine Learning Safety in Autonomous Vehicles. SafeAI@AAAI 2020: 162-169 - [c8]Sina Mohseni, Mandar Pitale, J. B. S. Yadawa, Zhangyang Wang:
Self-Supervised Learning for Generalizable Out-of-Distribution Detection. AAAI 2020: 5216-5223 - [i10]Sina Mohseni, Fan Yang, Shiva K. Pentyala, Mengnan Du, Yi Liu, Nic Lupfer, Xia Hu, Shuiwang Ji, Eric D. Ragan:
Machine Learning Explanations to Prevent Overtrust in Fake News Detection. CoRR abs/2007.12358 (2020)
2010 – 2019
- 2019
- [c7]Sina Mohseni:
Toward Design and Evaluation Framework for Interpretable Machine Learning Systems. AIES 2019: 553-554 - [c6]Mahsan Nourani, Samia Kabir, Sina Mohseni, Eric D. Ragan:
The Effects of Meaningful and Meaningless Explanations on Trust and Perceived System Accuracy in Intelligent Systems. HCOMP 2019: 97-105 - [c5]Fan Yang, Shiva K. Pentyala, Sina Mohseni, Mengnan Du, Hao Yuan, Rhema Linder, Eric D. Ragan, Shuiwang Ji, Xia (Ben) Hu:
XFake: Explainable Fake News Detector with Visualizations. WWW 2019: 3600-3604 - [i9]Sina Mohseni, Eric D. Ragan, Xia Hu:
Open Issues in Combating Fake News: Interpretability as an Opportunity. CoRR abs/1904.03016 (2019) - [i8]Sina Mohseni, Akshay Jagadeesh, Zhangyang Wang:
Predicting Model Failure using Saliency Maps in Autonomous Driving Systems. CoRR abs/1905.07679 (2019) - [i7]Fan Yang, Shiva K. Pentyala, Sina Mohseni, Mengnan Du, Hao Yuan, Rhema Linder, Eric D. Ragan, Shuiwang Ji, Xia (Ben) Hu:
XFake: Explainable Fake News Detector with Visualizations. CoRR abs/1907.07757 (2019) - [i6]Sina Mohseni, Mandar Pitale, Vasu Singh, Zhangyang Wang:
Practical Solutions for Machine Learning Safety in Autonomous Vehicles. CoRR abs/1912.09630 (2019) - 2018
- [i5]Sina Mohseni, Eric D. Ragan:
A Human-Grounded Evaluation Benchmark for Local Explanations of Machine Learning. CoRR abs/1801.05075 (2018) - [i4]Sina Mohseni, Andrew Pachuilo, Ehsanul Haque Nirjhar, Rhema Linder, Alyssa M. Pena, Eric D. Ragan:
Analytic Provenance Datasets: A Data Repository of Human Analysis Activity and Interaction Logs. CoRR abs/1801.05076 (2018) - [i3]Sina Mohseni, Alyssa M. Pena, Eric D. Ragan:
ProvThreads: Analytic Provenance Visualization and Segmentation. CoRR abs/1801.05469 (2018) - [i2]Sina Mohseni, Niloofar Zarei, Eric D. Ragan:
A Survey of Evaluation Methods and Measures for Interpretable Machine Learning. CoRR abs/1811.11839 (2018) - [i1]Sina Mohseni, Eric D. Ragan:
Combating Fake News with Interpretable News Feed Algorithm. CoRR abs/1811.12349 (2018) - 2016
- [c4]Hajar Abedi, Reza Gholami, Bijan Zakeri, Sina Mohseni:
Competition over resources algorithm and its application for planar array pattern synthesis. IST 2016: 432-436 - 2014
- [c3]Sina Mohseni, Niloofar Zarei, Ehsan Miandji, Gholamreza Ardeshir:
Facial Expression Recognition Using Facial Graph. FFER@ICPR 2014: 58-66 - [c2]Sina Mohseni, Reza Gholami, Niloofar Zarei, Arash Roomi Zadeh:
Competition over Resources: A New Optimization Algorithm Based on Animals Behavioral Ecology. INCoS 2014: 311-315 - [c1]Sina Mohseni, Niloofar Zarei, Saba Ramazani:
Facial expression recognition using anatomy based facial graph. SMC 2014: 3715-3719
Coauthor Index
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