Sina Mohseni

Orcid: 0000-0003-2747-2377

According to our database1, Sina Mohseni authored at least 25 papers between 2014 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Other 

Links

On csauthors.net:

Bibliography

2023
Taxonomy of Machine Learning Safety: A Survey and Primer.
ACM Comput. Surv., 2023

2022
Online Condition Monitoring of Overhead Insulators Using Pattern Recognition Algorithm.
IEEE Trans. Instrum. Meas., 2022

Designing an Automatic Detector Device to Diagnose Insulator State on Overhead Distribution Lines.
IEEE Trans. Ind. Informatics, 2022

Shifting Transformation Learning for Robust Out-of-Distribution Detection.
Proceedings of the 33rd British Machine Vision Conference 2022, 2022

2021
A Multidisciplinary Survey and Framework for Design and Evaluation of Explainable AI Systems.
ACM Trans. Interact. Intell. Syst., 2021

Practical Machine Learning Safety: A Survey and Primer.
CoRR, 2021

Multi-task Transformation Learning for Robust Out-of-Distribution Detection.
CoRR, 2021

Quantitative Evaluation of Machine Learning Explanations: A Human-Grounded Benchmark.
Proceedings of the IUI '21: 26th International Conference on Intelligent User Interfaces, 2021

Machine Learning Explanations to Prevent Overtrust in Fake News Detection.
Proceedings of the Fifteenth International AAAI Conference on Web and Social Media, 2021

2020
Self-Supervised Learning for Generalizable Out-of-Distribution Detection.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Practical Solutions for Machine Learning Safety in Autonomous Vehicles.
Proceedings of the Workshop on Artificial Intelligence Safety, 2020

2019
Predicting Model Failure using Saliency Maps in Autonomous Driving Systems.
CoRR, 2019

Open Issues in Combating Fake News: Interpretability as an Opportunity.
CoRR, 2019

XFake: Explainable Fake News Detector with Visualizations.
Proceedings of the World Wide Web Conference, 2019

The Effects of Meaningful and Meaningless Explanations on Trust and Perceived System Accuracy in Intelligent Systems.
Proceedings of the Seventh AAAI Conference on Human Computation and Crowdsourcing, 2019

Toward Design and Evaluation Framework for Interpretable Machine Learning Systems.
Proceedings of the 2019 AAAI/ACM Conference on AI, Ethics, and Society, 2019

2018
Combating Fake News with Interpretable News Feed Algorithm.
CoRR, 2018

A Survey of Evaluation Methods and Measures for Interpretable Machine Learning.
CoRR, 2018

ProvThreads: Analytic Provenance Visualization and Segmentation.
CoRR, 2018

Analytic Provenance Datasets: A Data Repository of Human Analysis Activity and Interaction Logs.
CoRR, 2018

A Human-Grounded Evaluation Benchmark for Local Explanations of Machine Learning.
CoRR, 2018

2016
Competition over resources algorithm and its application for planar array pattern synthesis.
Proceedings of the 8th International Symposium on Telecommunications, 2016

2014
Facial expression recognition using anatomy based facial graph.
Proceedings of the 2014 IEEE International Conference on Systems, Man, and Cybernetics, 2014

Competition over Resources: A New Optimization Algorithm Based on Animals Behavioral Ecology.
Proceedings of the 2014 International Conference on Intelligent Networking and Collaborative Systems, 2014

Facial Expression Recognition Using Facial Graph.
Proceedings of the Face and Facial Expression Recognition from Real World Videos, 2014


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