Muhammad Ali Chattha

KINN: Incorporating Expert Knowledge in Neural Networks pdf

Andreas Dengel, Muhammad Imran Malik, Shoaib Ahmed Siddiqui, 2019, AAAI Spring Symposium: Combining Machine Learning with Knowledge Engineering.

A Comparative Analysis of Traditional and Deep Learning-Based Anomaly Detection Methods for Streaming Data

Andreas Dengel, Sheraz Ahmed, Muhammad Ali Chattha, 2019, 2019 18th IEEE International Conference On Machine Learning And Applications (ICMLA).

A Survey on Knowledge integration techniques with Artificial Neural Networks for seq-2-seq/time series models pdf

Muhammad Ali Chattha, Pramod Vadiraja, M. A. Chattha, 2020, ArXiv.

FuseAD: Unsupervised Anomaly Detection in Streaming Sensors Data by Fusing Statistical and Deep Learning Models

Andreas Dengel, Shoaib Ahmed Siddiqui, Sheraz Ahmed, 2019, Sensors.

DeepEX: Bridging the Gap Between Knowledge and Data Driven Techniques for Time Series Forecasting

Muhammad Imran Malik, Shoaib Ahmed Siddiqui, Andreas Dengel, 2019, ICANN.