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2020 – today
- 2024
[c11]Jean-Francois Nies, Syed Tahseen Raza Rizvi, Mohsin Munir, Ludger van Elst, Andreas Dengel:
Knowledge-Aware Object Detection in Traffic Scenes. ICAART (3) 2024: 617-624- 2022
- [j6]Dominique Mercier
, Adriano Lucieri, Mohsin Munir, Andreas Dengel, Sheraz Ahmed:
PPML-TSA: A modular privacy-preserving time series classification framework. Softw. Impacts 12: 100286 (2022) - [j5]Dominique Mercier, Adriano Lucieri, Mohsin Munir, Andreas Dengel, Sheraz Ahmed:
Evaluating Privacy-Preserving Machine Learning in Critical Infrastructures: A Case Study on Time-Series Classification. IEEE Trans. Ind. Informatics 18(11): 7834-7842 (2022) - [c10]Nabeel Khalid, Mohammadmahdi Koochali, Vikas Rajashekar, Mohsin Munir, Christoffer Edlund, Timothy R. Jackson, Johan Trygg, Rickard Sjögren, Andreas Dengel, Sheraz Ahmed:
DeepMuCS: A Framework for Co-culture Microscopic Image Analysis: From Generation to Segmentation. BHI 2022: 1-4 - [c9]Abdul Hannan Khan, Mohsin Munir, Ludger van Elst, Andreas Dengel:
F2DNet: Fast Focal Detection Network for Pedestrian Detection. ICPR 2022: 4658-4664 - [c8]Nabeel Khalid, Fabian Schmeisser, Mohammadmahdi Koochali, Mohsin Munir, Christoffer Edlund, Timothy R. Jackson, Johan Trygg, Rickard Sjögren, Andreas Dengel, Sheraz Ahmed:
Point2Mask: A Weakly Supervised Approach for Cell Segmentation Using Point Annotation. MIUA 2022: 139-153 - [i6]Abdul Hannan Khan, Mohsin Munir, Ludger van Elst, Andreas Dengel:
F2DNet: Fast Focal Detection Network for Pedestrian Detection. CoRR abs/2203.02331 (2022) - [i5]Julian Wörmann, Daniel Bogdoll, Etienne Bührle, Han Chen, Evaristus Fuh Chuo, Kostadin Cvejoski, Ludger van Elst, Tobias Gleißner, Philip Gottschall, Stefan Griesche, Christian Hellert, Christian Hesels, Sebastian Houben, Tim Joseph, Niklas Keil, Johann Kelsch, Hendrik Königshof, Erwin Kraft, Leonie Kreuser, Kevin Krone, Tobias Latka, Denny Mattern, Stefan Matthes, Mohsin Munir, Moritz Nekolla, Adrian Paschke, Maximilian Alexander Pintz, Tianming Qiu, Faraz Qureishi, Syed Tahseen Raza Rizvi, Jörg Reichardt, Laura von Rüden, Stefan Rudolph, Alexander Sagel, Gerhard Schunk, Hao Shen, Hendrik Stapelbroek, Vera Stehr, Gurucharan Srinivas, Anh Tuan Tran, Abhishek Vivekanandan, Ya Wang, Florian Wasserrab, Tino Werner, Christian Wirth, Stefan Zwicklbauer:
Knowledge Augmented Machine Learning with Applications in Autonomous Driving: A Survey. CoRR abs/2205.04712 (2022) - 2021
- [b1]Mohsin Munir:
A Hybrid Framework for Time-series Analysis: From Anomaly Detection to Uncertainty Estimation and Explainability. Kaiserslautern University of Technology, Germany, 2021 - [c7]Nabeel Khalid, Mohsin Munir, Christoffer Edlund, Timothy R. Jackson, Johan Trygg, Rickard Sjögren, Andreas Dengel, Sheraz Ahmed:
DeepCIS: An end-to-end Pipeline for Cell-type aware Instance Segmentation in Microscopic Images. BHI 2021: 1-4 - [c6]Sebastian Palacio, Adriano Lucieri, Mohsin Munir, Sheraz Ahmed, Jörn Hees, Andreas Dengel:
XAI Handbook: Towards a Unified Framework for Explainable AI. ICCVW 2021: 3759-3768 - [c5]Nabeel Khalid, Mohsin Munir, Christoffer Edlund, Timothy R. Jackson, Johan Trygg, Rickard Sjögren, Andreas Dengel, Sheraz Ahmed:
DeepCeNS: An end-to-end Pipeline for Cell and Nucleus Segmentation in Microscopic Images. IJCNN 2021: 1-8 - [i4]Sebastian Palacio, Adriano Lucieri, Mohsin Munir, Jörn Hees, Sheraz Ahmed, Andreas Dengel:
XAI Handbook: Towards a Unified Framework for Explainable AI. CoRR abs/2105.06677 (2021) - [i3]Dominique Mercier, Adriano Lucieri, Mohsin Munir, Andreas Dengel, Sheraz Ahmed:
Evaluating Privacy-Preserving Machine Learning in Critical Infrastructures: A Case Study on Time-Series Classification. CoRR abs/2111.14838 (2021) - 2020
- [j4]Muhammad Naseer Bajwa, Suleman Khurram, Mohsin Munir, Shoaib Ahmed Siddiqui, Muhammad Imran Malik, Andreas Dengel, Sheraz Ahmed:
Confident Classification Using a Hybrid Between Deterministic and Probabilistic Convolutional Neural Networks. IEEE Access 8: 115476-115485 (2020)
2010 – 2019
- 2019
- [j3]Mohsin Munir, Shoaib Ahmed Siddiqui, Andreas Dengel, Sheraz Ahmed:
DeepAnT: A Deep Learning Approach for Unsupervised Anomaly Detection in Time Series. IEEE Access 7: 1991-2005 (2019) - [j2]Shoaib Ahmed Siddiqui, Dominique Mercier, Mohsin Munir, Andreas Dengel, Sheraz Ahmed:
TSViz: Demystification of Deep Learning Models for Time-Series Analysis. IEEE Access 7: 67027-67040 (2019) - [j1]Mohsin Munir, Shoaib Ahmed Siddiqui, Muhammad Ali Chattha, Andreas Dengel, Sheraz Ahmed:
FuseAD: Unsupervised Anomaly Detection in Streaming Sensors Data by Fusing Statistical and Deep Learning Models. Sensors 19(11): 2451 (2019) - [c4]Mohsin Munir, Shoaib Ahmed Siddiqui, Ferdinand Küsters, Dominique Mercier, Andreas Dengel, Sheraz Ahmed:
TSXplain: Demystification of DNN Decisions for Time-Series Using Natural Language and Statistical Features. ICANN (Workshop) 2019: 426-439 - [c3]Muhammad Ali Chattha, Shoaib Ahmed Siddiqui, Mohsin Munir, Muhammad Imran Malik, Ludger van Elst, Andreas Dengel, Sheraz Ahmed:
DeepEX: Bridging the Gap Between Knowledge and Data Driven Techniques for Time Series Forecasting. ICANN (2) 2019: 639-651 - [c2]Mohsin Munir, Muhammad Ali Chattha, Andreas Dengel, Sheraz Ahmed:
A Comparative Analysis of Traditional and Deep Learning-Based Anomaly Detection Methods for Streaming Data. ICMLA 2019: 561-566 - [i2]Mohsin Munir, Shoaib Ahmed Siddiqui, Ferdinand Küsters, Dominique Mercier, Andreas Dengel, Sheraz Ahmed:
TSXplain: Demystification of DNN Decisions for Time-Series using Natural Language and Statistical Features. CoRR abs/1905.06175 (2019) - 2018
- [i1]Shoaib Ahmed Siddiqui, Dominik Mercier, Mohsin Munir, Andreas Dengel, Sheraz Ahmed:
TSViz: Demystification of Deep Learning Models for Time-Series Analysis. CoRR abs/1802.02952 (2018) - 2017
- [c1]Mohsin Munir, Steffen Erkel, Andreas Dengel, Sheraz Ahmed:
Pattern-Based Contextual Anomaly Detection in HVAC Systems. ICDM Workshops 2017: 1066-1073
Coauthor Index
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