Mohsin Munir - RankMe

24 papers B 2C 1Journal 12Unranked 8

Year	Rank	Type	Title / Venue / Authors
2024	—	`conf`	Knowledge-Aware Object Detection in Traffic Scenes. ICAART (3) Jean-Francois Nies, Syed Tahseen Raza Rizvi, Mohsin Munir, Ludger van Elst, Andreas Dengel
2022	—	`conf`	DeepMuCS: A Framework for Co-culture Microscopic Image Analysis: From Generation to Segmentation. BHI Nabeel Khalid, Mohammadmahdi Koochali, Vikas Rajashekar, Mohsin Munir, Christoffer Edlund, Timothy R. Jackson, Johan Trygg, Rickard Sjögren, Andreas Dengel, Sheraz Ahmed
2022	J	`jnl`	Evaluating Privacy-Preserving Machine Learning in Critical Infrastructures: A Case Study on Time-Series Classification. IEEE Trans. Ind. Informatics Dominique Mercier, Adriano Lucieri, Mohsin Munir, Andreas Dengel, Sheraz Ahmed
2022	B	`conf`	F2DNet: Fast Focal Detection Network for Pedestrian Detection. ICPR Abdul Hannan Khan, Mohsin Munir, Ludger van Elst, Andreas Dengel
2022	J	`jnl`	F2DNet: Fast Focal Detection Network for Pedestrian Detection. CoRR Abdul Hannan Khan, Mohsin Munir, Ludger van Elst, Andreas Dengel
2022	J	`jnl`	Knowledge Augmented Machine Learning with Applications in Autonomous Driving: A Survey. CoRR 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
2022	J	`jnl`	PPML-TSA: A modular privacy-preserving time series classification framework. Softw. Impacts Dominique Mercier, Adriano Lucieri, Mohsin Munir, Andreas Dengel, Sheraz Ahmed
2022	—	`conf`	Point2Mask: A Weakly Supervised Approach for Cell Segmentation Using Point Annotation. MIUA Nabeel Khalid, Fabian Schmeisser, Mohammadmahdi Koochali, Mohsin Munir, Christoffer Edlund, Timothy R. Jackson, Johan Trygg, Rickard Sjögren, Andreas Dengel, Sheraz Ahmed
2021	—	`—`	A Hybrid Framework for Time-series Analysis: From Anomaly Detection to Uncertainty Estimation and Explainability. Mohsin Munir
2021	—	`conf`	DeepCIS: An end-to-end Pipeline for Cell-type aware Instance Segmentation in Microscopic Images. BHI Nabeel Khalid, Mohsin Munir, Christoffer Edlund, Timothy R. Jackson, Johan Trygg, Rickard Sjögren, Andreas Dengel, Sheraz Ahmed
2021	B	`conf`	DeepCeNS: An end-to-end Pipeline for Cell and Nucleus Segmentation in Microscopic Images. IJCNN Nabeel Khalid, Mohsin Munir, Christoffer Edlund, Timothy R. Jackson, Johan Trygg, Rickard Sjögren, Andreas Dengel, Sheraz Ahmed
2021	J	`jnl`	Evaluating Privacy-Preserving Machine Learning in Critical Infrastructures: A Case Study on Time-Series Classification. CoRR Dominique Mercier, Adriano Lucieri, Mohsin Munir, Andreas Dengel, Sheraz Ahmed
2021	—	`conf`	XAI Handbook: Towards a Unified Framework for Explainable AI. ICCVW Sebastian Palacio, Adriano Lucieri, Mohsin Munir, Sheraz Ahmed, Jörn Hees, Andreas Dengel
2021	J	`jnl`	XAI Handbook: Towards a Unified Framework for Explainable AI. CoRR Sebastian Palacio, Adriano Lucieri, Mohsin Munir, Jörn Hees, Sheraz Ahmed, Andreas Dengel
2020	J	`jnl`	Confident Classification Using a Hybrid Between Deterministic and Probabilistic Convolutional Neural Networks. IEEE Access Muhammad Naseer Bajwa, Suleman Khurram, Mohsin Munir, Shoaib Ahmed Siddiqui, Muhammad Imran Malik, Andreas Dengel, Sheraz Ahmed
2019	C	`conf`	A Comparative Analysis of Traditional and Deep Learning-Based Anomaly Detection Methods for Streaming Data. ICMLA Mohsin Munir, Muhammad Ali Chattha, Andreas Dengel, Sheraz Ahmed
2019	J	`jnl`	DeepAnT: A Deep Learning Approach for Unsupervised Anomaly Detection in Time Series. IEEE Access Mohsin Munir, Shoaib Ahmed Siddiqui, Andreas Dengel, Sheraz Ahmed
2019	—	`conf`	DeepEX: Bridging the Gap Between Knowledge and Data Driven Techniques for Time Series Forecasting. ICANN (2) Muhammad Ali Chattha, Shoaib Ahmed Siddiqui, Mohsin Munir, Muhammad Imran Malik, Ludger van Elst, Andreas Dengel, Sheraz Ahmed
2019	J	`jnl`	FuseAD: Unsupervised Anomaly Detection in Streaming Sensors Data by Fusing Statistical and Deep Learning Models. Sensors Mohsin Munir, Shoaib Ahmed Siddiqui, Muhammad Ali Chattha, Andreas Dengel, Sheraz Ahmed
2019	J	`jnl`	TSViz: Demystification of Deep Learning Models for Time-Series Analysis. IEEE Access Shoaib Ahmed Siddiqui, Dominique Mercier, Mohsin Munir, Andreas Dengel, Sheraz Ahmed
2019	—	`conf`	TSXplain: Demystification of DNN Decisions for Time-Series Using Natural Language and Statistical Features. ICANN (Workshop) Mohsin Munir, Shoaib Ahmed Siddiqui, Ferdinand Küsters, Dominique Mercier, Andreas Dengel, Sheraz Ahmed
2019	J	`jnl`	TSXplain: Demystification of DNN Decisions for Time-Series using Natural Language and Statistical Features. CoRR Mohsin Munir, Shoaib Ahmed Siddiqui, Ferdinand Küsters, Dominique Mercier, Andreas Dengel, Sheraz Ahmed
2018	J	`jnl`	TSViz: Demystification of Deep Learning Models for Time-Series Analysis. CoRR Shoaib Ahmed Siddiqui, Dominik Mercier, Mohsin Munir, Andreas Dengel, Sheraz Ahmed
2017	—	`conf`	Pattern-Based Contextual Anomaly Detection in HVAC Systems. ICDM Workshops Mohsin Munir, Steffen Erkel, Andreas Dengel, Sheraz Ahmed