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Mohsin Munir
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DeepAnT: A Deep Learning Approach for Unsupervised Anomaly Detection in Time Series
M Munir, SA Siddiqui, A Dengel, S Ahmed
IEEE Access 7, 1991-2005, 2019
2182019
FuseAD: Unsupervised Anomaly Detection in Streaming Sensors Data by Fusing Statistical and Deep Learning Models
M Munir, SA Siddiqui, MA Chattha, A Dengel, S Ahmed
Sensors 19 (11), 2019
552019
TSViz: Demystification of Deep Learning Models for Time-Series Analysis
SA Siddiqui, D Mercier, M Munir, A Dengel, S Ahmed
IEEE Access 7, 67027-67040, 2019
402019
Pattern-Based Contextual Anomaly Detection in HVAC Systems
M Munir, S Erkel, A Dengel, S Ahmed
2017 IEEE International Conference on Data Mining Workshops (ICDMW), 1066-1073, 2017
162017
A Comparative Analysis of Traditional and Deep Learning-based Anomaly Detection Methods for Streaming Data
M Munir, MA Chattha, A Dengel, S Ahmed
18th IEEE International Conference on Machine Learning and Applications (ICMLA), 2019
152019
TSXplain: Demystification of DNN Decisions for Time-Series using Natural Language and Statistical Features
M Munir, SA Siddiqui, F Küsters, D Mercier, A Dengel, S Ahmed
International Conference on Artificial Neural Networks (ICANN) 11731, 426–439, 2019
122019
Data Analytics: Industrial Perspective & Solutions for Streaming Data
M Munir, S Baumbach, Y Gu, A Dengel, S Ahmed
by Last M., Kandel A., Bunke H., Series in Machine Perception and Artificial …, 2018
82018
Fi-Fo Detector: Figure and Formula Detection Using Deformable Networks
J Younas, SA Siddiqui, M Munir, MI Malik, F Shafait, P Lukowicz, S Ahmed
Applied Sciences 10 (18), 6460, 2020
62020
XAI Handbook: Towards a Unified Framework for Explainable AI
S Palacio, A Lucieri, M Munir, S Ahmed, J Hees, A Dengel
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021
52021
Confident Classification Using a Hybrid Between Deterministic and Probabilistic Convolutional Neural Networks
MN Bajwa, S Khurram, M Munir, SA Siddiqui, MI Malik, A Dengel, ...
IEEE Access 8, 115476-115485, 2020
42020
DeepEX: Bridging the Gap Between Knowledge and Data Driven Techniques for Time Series Forecasting
MA Chattha, SA Siddiqui, M Munir, MI Malik, L van Elst, A Dengel, ...
International Conference on Artificial Neural Networks, 639-651, 2019
32019
Evaluating Privacy-Preserving Machine Learning in Critical Infrastructures: A Case Study on Time-Series Classification
D Mercier, A Lucieri, M Munir, A Dengel, A Sheraz
IEEE Transactions on Industrial Informatics, 2021
12021
DeepCIS: An end-to-end Pipeline for Cell-type aware Instance Segmentation in Microscopic Images
N Khalid, M Munir, C Edlund, TR Jackson, J Trygg, R Sjögren, A Dengel, ...
2021 IEEE EMBS International Conference on Biomedical and Health Informatics …, 2021
12021
DeepCeNS: An end-to-end Pipeline for Cell and Nucleus Segmentation in Microscopic Images
N Khalid, M Munir, C Edlund, TR Jackson, J Trygg, R Sjögren, A Dengel, ...
2021 International Joint Conference on Neural Networks (IJCNN), 1-8, 2021
12021
Knowledge Augmented Machine Learning with Applications in Autonomous Driving: A Survey
J Wörmann, D Bogdoll, E Bührle, H Chen, EF Chuo, K Cvejoski, L van Elst, ...
arXiv preprint arXiv:2205.04712, 2022
2022
PPML-TSA: A modular privacy-preserving time series classification framework
D Mercier, A Lucieri, M Munir, A Dengel, S Ahmed
Software Impacts, 100286, 2022
2022
F2DNet: Fast Focal Detection Network for Pedestrian Detection
AH Khan, M Munir, L van Elst, A Dengel
arXiv preprint arXiv:2203.02331, 2022
2022
DeepMuCS: A Framework for Mono-& Co-culture Microscopic Image Analysis: From Generation to Segmentation
N Khalid, M Koochali, V Rajashekhar, M Munir, C Edlund, T Jackson, ...
TechRxiv, 2022
2022
A Hybrid Framework for Time-series Analysis - From Anomaly Detection to Uncertainty Estimation and Explainability
M Munir
https://doi.org/10.26204/KLUEDO/6703, 2021
2021
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Artikelen 1–19