Shoaib Ahmed Siddiqui
Shoaib Ahmed Siddiqui
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Deep one-class classification
L Ruff, R Vandermeulen, N Goernitz, L Deecke, SA Siddiqui, A Binder, ...
International conference on machine learning, 4393-4402, 2018
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, 2018
Automatic fish species classification in underwater videos: exploiting pre-trained deep neural network models to compensate for limited labelled data
SA Siddiqui, A Salman, MI Malik, F Shafait, A Mian, MR Shortis, ...
ICES Journal of Marine Science 75 (1), 374-389, 2018
Two-stage framework for optic disc localization and glaucoma classification in retinal fundus images using deep learning
MN Bajwa, MI Malik, SA Siddiqui, A Dengel, F Shafait, W Neumeier, ...
BMC medical informatics and decision making 19, 1-16, 2019
Automatic fish detection in underwater videos by a deep neural network-based hybrid motion learning system
A Salman, SA Siddiqui, F Shafait, A Mian, MR Shortis, K Khurshid, ...
ICES Journal of Marine Science 77 (4), 1295-1307, 2020
Decnt: Deep deformable cnn for table detection
SA Siddiqui, MI Malik, S Agne, A Dengel, S Ahmed
IEEE access 6, 74151-74161, 2018
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), 2451, 2019
Computer-aided diagnosis of skin diseases using deep neural networks
MN Bajwa, K Muta, MI Malik, SA Siddiqui, SA Braun, B Homey, A Dengel, ...
Applied Sciences 10 (7), 2488, 2020
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
Deeptabstr: Deep learning based table structure recognition
SA Siddiqui, IA Fateh, STR Rizvi, A Dengel, S Ahmed
2019 international conference on document analysis and recognition (ICDAR …, 2019
Rethinking semantic segmentation for table structure recognition in documents
SA Siddiqui, PI Khan, A Dengel, S Ahmed
2019 international conference on document analysis and recognition (ICDAR …, 2019
Metadata archaeology: Unearthing data subsets by leveraging training dynamics
SA Siddiqui, N Rajkumar, T Maharaj, D Krueger, S Hooker
arXiv preprint arXiv:2209.10015, 2022
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
Artificial Neural Networks and Machine Learning–ICANN 2019: Workshop and …, 2019
Going beyond classification accuracy metrics in model compression
V Joseph, SA Siddiqui, A Bhaskara, G Gopalakrishnan, S Muralidharan, ...
arXiv preprint arXiv:2012.01604, 2020
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
Kinn: Incorporating expert knowledge in neural networks
MA Chattha, SA Siddiqui, MI Malik, L van Elst, A Dengel, S Ahmed
arXiv preprint arXiv:1902.05653, 2019
A wearable sensor based multi-criteria-decision-system for real-time seizure detection
A Ahmed, W Ahmad, MJ Khan, SA Siddiqui, HM Cheema
2017 39th Annual International Conference of the IEEE Engineering in …, 2017
TSInsight: A local-global attribution framework for interpretability in time series data
SA Siddiqui, D Mercier, A Dengel, S Ahmed
Sensors 21 (21), 7373, 2021
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
Benchmarking deep learning models for classification of book covers
A Lucieri, H Sabir, SA Siddiqui, STR Rizvi, BK Iwana, S Uchida, A Dengel, ...
SN computer science 1, 1-16, 2020
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