Muhammad Ali Chattha

11 papers C 1Journal 7Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	SLUM-i: Semi-supervised Learning for Urban Mapping of Informal Settlements and Data Quality Benchmarking. CoRR Muhammad Taha Mukhtar, Syed Musa Ali Kazmi, Khola Naseem, Muhammad Ali Chattha, Andreas Dengel, Sheraz Ahmed, Muhammad Naseer Bajwa, Muhammad Imran Malik
2025	J	`jnl`	Addressing data dependency in neural networks: introducing the Knowledge Enhanced Neural Network (KENN) for time series forecasting +. Mach. Learn. Muhammad Ali Chattha, Muhammad Imran Malik, Andreas Dengel, Sheraz Ahmed
2025	J	`jnl`	KRNN: A hybrid data and knowledge oriented time series forecasting approach for health care applications. Expert Syst. Appl. Muhammad Ali Chattha, Muhammad Imran Malik, Andreas Dengel, Sheraz Ahmed
2023	—	`conf`	Knowledge Forcing: Fusing Knowledge-Driven Approaches with LSTM for Time Series Forecasting. ICANN (6) Muhammad Ali Chattha, Muhammad Imran Malik, Andreas Dengel, Sheraz Ahmed
2022	J	`jnl`	KENN: Enhancing Deep Neural Networks by Leveraging Knowledge for Time Series Forecasting. CoRR Muhammad Ali Chattha, Ludger van Elst, Muhammad Imran Malik, Andreas Dengel, Sheraz Ahmed
2020	J	`jnl`	A Survey on Knowledge integration techniques with Artificial Neural Networks for seq-2-seq/time series models. CoRR Pramod Vadiraja, Muhammad Ali Chattha
2019	C	`conf`	A Comparative Analysis of Traditional and Deep Learning-Based Anomaly Detection Methods for Streaming Data. ICMLA Mohsin Munir, Muhammad Ali Chattha, Andreas Dengel, Sheraz Ahmed
2019	—	`conf`	DeepEX: Bridging the Gap Between Knowledge and Data Driven Techniques for Time Series Forecasting. ICANN (2) Muhammad Ali Chattha, Shoaib Ahmed Siddiqui, Mohsin Munir, Muhammad Imran Malik, Ludger van Elst, Andreas Dengel, Sheraz Ahmed
2019	J	`jnl`	FuseAD: Unsupervised Anomaly Detection in Streaming Sensors Data by Fusing Statistical and Deep Learning Models. Sensors Mohsin Munir, Shoaib Ahmed Siddiqui, Muhammad Ali Chattha, Andreas Dengel, Sheraz Ahmed
2019	—	`conf`	KINN: Incorporating Expert Knowledge in Neural Networks. AAAI Spring Symposium: Combining Machine Learning with Knowledge Engineering Muhammad Ali Chattha, Shoaib Ahmed Siddiqui, Muhammad Imran Malik, Ludger van Elst, Andreas Dengel, Sheraz Ahmed
2019	J	`jnl`	KINN: Incorporating Expert Knowledge in Neural Networks. CoRR Muhammad Ali Chattha, Shoaib Ahmed Siddiqui, Muhammad Imran Malik, Ludger van Elst, Andreas Dengel, Sheraz Ahmed