KINN: Incorporating Expert Knowledge in Neural Networks. - Muhammad Ali Chattha; Shoaib Ahmed Siddiqui; Muhammad Imran Malik; Ludger van Elst; Andreas Dengel 001; Sheraz Ahmed (AAAI Spring Symposium: Combining Machine Learning with Knowledge Engineering, 2019)

DeepEX: Bridging the Gap Between Knowledge and Data Driven Techniques for Time Series Forecasting. - Muhammad Ali Chattha; Shoaib Ahmed Siddiqui; Mohsin Munir; Muhammad Imran Malik; Ludger van Elst; Andreas Dengel 001; Sheraz Ahmed (ICANN (2), 2019)

A Comparative Analysis of Traditional and Deep Learning-Based Anomaly Detection Methods for Streaming Data. - Mohsin Munir; Muhammad Ali Chattha; Andreas Dengel 001; Sheraz Ahmed (ICMLA, 2019)

FuseAD: Unsupervised Anomaly Detection in Streaming Sensors Data by Fusing Statistical and Deep Learning Models. - Mohsin Munir; Shoaib Ahmed Siddiqui; Muhammad Ali Chattha; Andreas Dengel 001; Sheraz Ahmed (Sensors, 2019)

A Survey on Knowledge integration techniques with Artificial Neural Networks for seq-2-seq/time series models. - Pramod Vadiraja; Muhammad Ali Chattha (CoRR, 2020)

KENN: Enhancing Deep Neural Networks by Leveraging Knowledge for Time Series Forecasting. - Muhammad Ali Chattha; Ludger van Elst; Muhammad Imran Malik; Andreas Dengel 001; Sheraz Ahmed (CoRR, 2022)

Knowledge Forcing: Fusing Knowledge-Driven Approaches with LSTM for Time Series Forecasting. - Muhammad Ali Chattha; Muhammad Imran Malik; Andreas Dengel 001; Sheraz Ahmed (ICANN (6), 2023)

KRNN: A hybrid data and knowledge oriented time series forecasting approach for health care applications. - Muhammad Ali Chattha; Muhammad Imran Malik; Andreas Dengel 001; Sheraz Ahmed (Expert Syst. Appl., 2025)

Addressing data dependency in neural networks: introducing the Knowledge Enhanced Neural Network (KENN) for time series forecasting +. - Muhammad Ali Chattha; Muhammad Imran Malik; Andreas Dengel 001; Sheraz Ahmed (Mach. Learn., 2025)