Muhammad Ali Chattha
Orcid: 0000-0002-3336-5677
According to our database1,
Muhammad Ali Chattha
authored at least 9 papers
between 2019 and 2025.
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Bibliography
2025
Addressing data dependency in neural networks: introducing the Knowledge Enhanced Neural Network (KENN) for time series forecasting +.
Mach. Learn., January, 2025
KRNN: A hybrid data and knowledge oriented time series forecasting approach for health care applications.
Expert Syst. Appl., 2025
2023
Knowledge Forcing: Fusing Knowledge-Driven Approaches with LSTM for Time Series Forecasting.
Proceedings of the Artificial Neural Networks and Machine Learning, 2023
2022
KENN: Enhancing Deep Neural Networks by Leveraging Knowledge for Time Series Forecasting.
CoRR, 2022
2020
A Survey on Knowledge integration techniques with Artificial Neural Networks for seq-2-seq/time series models.
CoRR, 2020
2019
FuseAD: Unsupervised Anomaly Detection in Streaming Sensors Data by Fusing Statistical and Deep Learning Models.
Sensors, 2019
A Comparative Analysis of Traditional and Deep Learning-Based Anomaly Detection Methods for Streaming Data.
Proceedings of the 18th IEEE International Conference On Machine Learning And Applications, 2019
DeepEX: Bridging the Gap Between Knowledge and Data Driven Techniques for Time Series Forecasting.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019: Deep Learning, 2019
Proceedings of the AAAI 2019 Spring Symposium on Combining Machine Learning with Knowledge Engineering (AAAI-MAKE 2019) Stanford University, 2019