Mohsin Munir
Orcid: 0000-0001-7818-0361
According to our database1,
Mohsin Munir
authored at least 19 papers
between 2017 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
On csauthors.net:
Bibliography
2024
Proceedings of the 16th International Conference on Agents and Artificial Intelligence, 2024
2022
Evaluating Privacy-Preserving Machine Learning in Critical Infrastructures: A Case Study on Time-Series Classification.
IEEE Trans. Ind. Informatics, 2022
Softw. Impacts, 2022
Knowledge Augmented Machine Learning with Applications in Autonomous Driving: A Survey.
CoRR, 2022
Point2Mask: A Weakly Supervised Approach for Cell Segmentation Using Point Annotation.
Proceedings of the Medical Image Understanding and Analysis - 26th Annual Conference, 2022
Proceedings of the 26th International Conference on Pattern Recognition, 2022
DeepMuCS: A Framework for Co-culture Microscopic Image Analysis: From Generation to Segmentation.
Proceedings of the IEEE-EMBS International Conference on Biomedical and Health Informatics, 2022
2021
A Hybrid Framework for Time-series Analysis: From Anomaly Detection to Uncertainty Estimation and Explainability.
PhD thesis, 2021
DeepCeNS: An end-to-end Pipeline for Cell and Nucleus Segmentation in Microscopic Images.
Proceedings of the International Joint Conference on Neural Networks, 2021
Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021
DeepCIS: An end-to-end Pipeline for Cell-type aware Instance Segmentation in Microscopic Images.
Proceedings of the IEEE EMBS International Conference on Biomedical and Health Informatics, 2021
2020
Confident Classification Using a Hybrid Between Deterministic and Probabilistic Convolutional Neural Networks.
IEEE Access, 2020
2019
FuseAD: Unsupervised Anomaly Detection in Streaming Sensors Data by Fusing Statistical and Deep Learning Models.
Sensors, 2019
IEEE Access, 2019
IEEE Access, 2019
A Comparative Analysis of Traditional and Deep Learning-Based Anomaly Detection Methods for Streaming Data.
Proceedings of the 18th IEEE International Conference On Machine Learning And Applications, 2019
TSXplain: Demystification of DNN Decisions for Time-Series Using Natural Language and Statistical Features.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019 - 28th International Conference on Artificial Neural Networks, Munich, Germany, September 17-19, 2019, Proceedings, 2019
DeepEX: Bridging the Gap Between Knowledge and Data Driven Techniques for Time Series Forecasting.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019: Deep Learning, 2019
2017
Proceedings of the 2017 IEEE International Conference on Data Mining Workshops, 2017