Pattern-Based Contextual Anomaly Detection in HVAC Systems. - Mohsin Munir; Steffen Erkel; Andreas Dengel 001; Sheraz Ahmed (ICDM Workshops, 2017)

DeepEX: Bridging the Gap Between Knowledge and Data Driven Techniques for Time Series Forecasting. - Muhammad Ali Chattha; Shoaib Ahmed Siddiqui; Mohsin Munir; Muhammad Imran Malik; Ludger van Elst; Andreas Dengel 001; Sheraz Ahmed (ICANN (2), 2019)

TSXplain: Demystification of DNN Decisions for Time-Series Using Natural Language and Statistical Features. - Mohsin Munir; Shoaib Ahmed Siddiqui; Ferdinand Küsters; Dominique Mercier; Andreas Dengel 001; Sheraz Ahmed (ICANN (Workshop), 2019)

A Comparative Analysis of Traditional and Deep Learning-Based Anomaly Detection Methods for Streaming Data. - Mohsin Munir; Muhammad Ali Chattha; Andreas Dengel 001; Sheraz Ahmed (ICMLA, 2019)

DeepAnT: A Deep Learning Approach for Unsupervised Anomaly Detection in Time Series. - Mohsin Munir; Shoaib Ahmed Siddiqui; Andreas Dengel 001; Sheraz Ahmed (IEEE Access, 2019)

TSViz: Demystification of Deep Learning Models for Time-Series Analysis. - Shoaib Ahmed Siddiqui; Dominique Mercier; Mohsin Munir; Andreas Dengel 001; Sheraz Ahmed (IEEE Access, 2019)

FuseAD: Unsupervised Anomaly Detection in Streaming Sensors Data by Fusing Statistical and Deep Learning Models. - Mohsin Munir; Shoaib Ahmed Siddiqui; Muhammad Ali Chattha; Andreas Dengel 001; Sheraz Ahmed (Sensors, 2019)

Confident Classification Using a Hybrid Between Deterministic and Probabilistic Convolutional Neural Networks. - Muhammad Naseer Bajwa; Suleman Khurram; Mohsin Munir; Shoaib Ahmed Siddiqui; Muhammad Imran Malik; Andreas Dengel 001; Sheraz Ahmed (IEEE Access, 2020)

DeepCIS: An end-to-end Pipeline for Cell-type aware Instance Segmentation in Microscopic Images. - Nabeel Khalid; Mohsin Munir; Christoffer Edlund; Timothy R. Jackson; Johan Trygg; Rickard Sjögren; Andreas Dengel 001; Sheraz Ahmed (BHI, 2021)

XAI Handbook: Towards a Unified Framework for Explainable AI. - Sebastian Palacio; Adriano Lucieri; Mohsin Munir; Sheraz Ahmed; Jörn Hees; Andreas Dengel 001 (ICCVW, 2021)

DeepCeNS: An end-to-end Pipeline for Cell and Nucleus Segmentation in Microscopic Images. - Nabeel Khalid; Mohsin Munir; Christoffer Edlund; Timothy R. Jackson; Johan Trygg; Rickard Sjögren; Andreas Dengel 001; Sheraz Ahmed (IJCNN, 2021)

A Hybrid Framework for Time-series Analysis: From Anomaly Detection to Uncertainty Estimation and Explainability. - Mohsin Munir (2021)

DeepMuCS: A Framework for Co-culture Microscopic Image Analysis: From Generation to Segmentation. - Nabeel Khalid; Mohammadmahdi Koochali; Vikas Rajashekar; Mohsin Munir; Christoffer Edlund; Timothy R. Jackson; Johan Trygg; Rickard Sjögren; Andreas Dengel 001; Sheraz Ahmed (BHI, 2022)

F2DNet: Fast Focal Detection Network for Pedestrian Detection. - Abdul Hannan Khan; Mohsin Munir; Ludger van Elst; Andreas Dengel 001 (ICPR, 2022)

Point2Mask: A Weakly Supervised Approach for Cell Segmentation Using Point Annotation. - Nabeel Khalid; Fabian Schmeisser; Mohammadmahdi Koochali; Mohsin Munir; Christoffer Edlund; Timothy R. Jackson; Johan Trygg; Rickard Sjögren; Andreas Dengel 001; Sheraz Ahmed (MIUA, 2022)

Knowledge Augmented Machine Learning with Applications in Autonomous Driving: A Survey. - 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; et al. (CoRR, 2022)

PPML-TSA: A modular privacy-preserving time series classification framework. - Dominique Mercier; Adriano Lucieri; Mohsin Munir; Andreas Dengel 001; Sheraz Ahmed (Softw. Impacts, 2022)

Evaluating Privacy-Preserving Machine Learning in Critical Infrastructures: A Case Study on Time-Series Classification. - Dominique Mercier; Adriano Lucieri; Mohsin Munir; Andreas Dengel 001; Sheraz Ahmed (IEEE Trans. Ind. Informatics, 2022)

Knowledge-Aware Object Detection in Traffic Scenes. - Jean-Francois Nies; Syed Tahseen Raza Rizvi; Mohsin Munir; Ludger van Elst; Andreas Dengel 001 (ICAART (3), 2024)