Mohsin Munir
Title
Cited by
Cited by
Year
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
782019
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
242019
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
162019
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
82017
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
72018
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
32019
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
22019
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
12020
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
2020
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
2019
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