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ORCIDMuhammad Ali Chattha
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2020 – today
- 2023
[c4]Muhammad Ali Chattha
, Muhammad Imran Malik, Andreas Dengel, Sheraz Ahmed:
Knowledge Forcing: Fusing Knowledge-Driven Approaches with LSTM for Time Series Forecasting. ICANN (6) 2023: 206-217- 2022
- [i3]Muhammad Ali Chattha, Ludger van Elst, Muhammad Imran Malik, Andreas Dengel, Sheraz Ahmed:
KENN: Enhancing Deep Neural Networks by Leveraging Knowledge for Time Series Forecasting. CoRR abs/2202.03903 (2022) - 2020
- [i2]Pramod Vadiraja, Muhammad Ali Chattha:
A Survey on Knowledge integration techniques with Artificial Neural Networks for seq-2-seq/time series models. CoRR abs/2008.05972 (2020)
2010 – 2019
- 2019
- [j1]Mohsin Munir, Shoaib Ahmed Siddiqui, Muhammad Ali Chattha, Andreas Dengel, Sheraz Ahmed:
FuseAD: Unsupervised Anomaly Detection in Streaming Sensors Data by Fusing Statistical and Deep Learning Models. Sensors 19(11): 2451 (2019) - [c3]Muhammad Ali Chattha, Shoaib Ahmed Siddiqui, Muhammad Imran Malik, Ludger van Elst, Andreas Dengel, Sheraz Ahmed:
KINN: Incorporating Expert Knowledge in Neural Networks. AAAI Spring Symposium: Combining Machine Learning with Knowledge Engineering 2019 - [c2]Muhammad Ali Chattha, Shoaib Ahmed Siddiqui, Mohsin Munir, Muhammad Imran Malik, Ludger van Elst, Andreas Dengel, Sheraz Ahmed:
DeepEX: Bridging the Gap Between Knowledge and Data Driven Techniques for Time Series Forecasting. ICANN (2) 2019: 639-651 - [c1]Mohsin Munir, Muhammad Ali Chattha, Andreas Dengel, Sheraz Ahmed:
A Comparative Analysis of Traditional and Deep Learning-Based Anomaly Detection Methods for Streaming Data. ICMLA 2019: 561-566 - [i1]Muhammad Ali Chattha, Shoaib Ahmed Siddiqui, Muhammad Imran Malik, Ludger van Elst, Andreas Dengel, Sheraz Ahmed:
KINN: Incorporating Expert Knowledge in Neural Networks. CoRR abs/1902.05653 (2019)
Coauthor Index
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