Facial Expression Recognition Using Facial Graph. - Sina Mohseni; Niloofar Zarei; Ehsan Miandji; Gholamreza Ardeshir (FFER@ICPR, 2014)

Competition over Resources: A New Optimization Algorithm Based on Animals Behavioral Ecology. - Sina Mohseni; Reza Gholami; Niloofar Zarei; Arash Roomi Zadeh (INCoS, 2014)

Facial expression recognition using anatomy based facial graph. - Sina Mohseni; Niloofar Zarei; Saba Ramazani (SMC, 2014)

Competition over resources algorithm and its application for planar array pattern synthesis. - Hajar Abedi; Reza Gholami; Bijan Zakeri; Sina Mohseni (IST, 2016)

A Human-Grounded Evaluation Benchmark for Local Explanations of Machine Learning. - Sina Mohseni; Eric D. Ragan (CoRR, 2018)

Analytic Provenance Datasets: A Data Repository of Human Analysis Activity and Interaction Logs. - Sina Mohseni; Andrew Pachuilo; Ehsanul Haque Nirjhar; Rhema Linder; Alyssa M. Pena; Eric D. Ragan (CoRR, 2018)

ProvThreads: Analytic Provenance Visualization and Segmentation. - Sina Mohseni; Alyssa M. Pena; Eric D. Ragan (CoRR, 2018)

A Survey of Evaluation Methods and Measures for Interpretable Machine Learning. - Sina Mohseni; Niloofar Zarei; Eric D. Ragan (CoRR, 2018)

Combating Fake News with Interpretable News Feed Algorithm. - Sina Mohseni; Eric D. Ragan (CoRR, 2018)

Toward Design and Evaluation Framework for Interpretable Machine Learning Systems. - Sina Mohseni (AIES, 2019)

The Effects of Meaningful and Meaningless Explanations on Trust and Perceived System Accuracy in Intelligent Systems. - Mahsan Nourani; Samia Kabir; Sina Mohseni; Eric D. Ragan (HCOMP, 2019)

XFake: Explainable Fake News Detector with Visualizations. - Fan Yang 023; Shiva K. Pentyala; Sina Mohseni; Mengnan Du; Hao Yuan 001; Rhema Linder; Eric D. Ragan; Shuiwang Ji; Xia (Ben) Hu (WWW, 2019)

Open Issues in Combating Fake News: Interpretability as an Opportunity. - Sina Mohseni; Eric D. Ragan; Xia Hu 001 (CoRR, 2019)

Predicting Model Failure using Saliency Maps in Autonomous Driving Systems. - Sina Mohseni; Akshay Jagadeesh; Zhangyang Wang (CoRR, 2019)

Practical Solutions for Machine Learning Safety in Autonomous Vehicles. - Sina Mohseni; Mandar Pitale; Vasu Singh; Zhangyang Wang (SafeAI@AAAI, 2020)

Self-Supervised Learning for Generalizable Out-of-Distribution Detection. - Sina Mohseni; Mandar Pitale; J. B. S. Yadawa; Zhangyang Wang (AAAI, 2020)

Machine Learning Explanations to Prevent Overtrust in Fake News Detection. - Sina Mohseni; Fan Yang 023; Shiva K. Pentyala; Mengnan Du; Yi Liu 059; Nic Lupfer; Xia Hu 001; Shuiwang Ji; Eric D. Ragan (ICWSM, 2021)

Quantitative Evaluation of Machine Learning Explanations: A Human-Grounded Benchmark. - Sina Mohseni; Jeremy E. Block; Eric D. Ragan (IUI, 2021)

Multi-task Transformation Learning for Robust Out-of-Distribution Detection. - Sina Mohseni; Arash Vahdat; Jay Yadawa (CoRR, 2021)

Practical Machine Learning Safety: A Survey and Primer. - Sina Mohseni; Haotao Wang; Zhiding Yu; Chaowei Xiao; Zhangyang Wang; Jay Yadawa (CoRR, 2021)

A Multidisciplinary Survey and Framework for Design and Evaluation of Explainable AI Systems. - Sina Mohseni; Niloofar Zarei; Eric D. Ragan (ACM Trans. Interact. Intell. Syst., 2021)

Shifting Transformation Learning for Robust Out-of-Distribution Detection. - Sina Mohseni; Arash Vahdat; Jay Yadawa (BMVC, 2022)

Designing an Automatic Detector Device to Diagnose Insulator State on Overhead Distribution Lines. - Mousalreza Faramarzi Palangar; Sina Mohseni; Mohammad Mirzaie; Amin Mahmoudi (IEEE Trans. Ind. Informatics, 2022)

Online Condition Monitoring of Overhead Insulators Using Pattern Recognition Algorithm. - Mousalreza Faramarzi Palangar; Sina Mohseni; Ahmed Abu-Siada; Mohammad Mirzaie (IEEE Trans. Instrum. Meas., 2022)

Taxonomy of Machine Learning Safety: A Survey and Primer. - Sina Mohseni; Haotao Wang; Chaowei Xiao; Zhiding Yu; Zhangyang Wang; Jay Yadawa (ACM Comput. Surv., 2023)