Searching the Subsumption Lattice by a Genetic Algorithm. - Alireza Tamaddoni-Nezhad; Stephen H. Muggleton (ILP, 2000)

A Genetic Algorithms Approach to ILP. - Alireza Tamaddoni-Nezhad; Stephen H. Muggleton (ILP, 2002)

Induction of Enzyme Classes from Biological Databases. - Stephen H. Muggleton; Alireza Tamaddoni-Nezhad; Hiroaki Watanabe (ILP, 2003)

Modelling Inhibition in Metabolic Pathways Through Abduction and Induction. - Alireza Tamaddoni-Nezhad; Antonis C. Kakas; Stephen H. Muggleton; Florencio Pazos (ILP, 2004)

Virtual characteristics measurement using factor analysis. - Ghazal Afroozi Milani; Koorush Ziarati; Alireza Tamaddoni-Nezhad (ICETE, 2005)

Abduction and induction for learning models of inhibition in metabolic networks. - Alireza Tamaddoni-Nezhad; Raphael Chaleil; Antonis C. Kakas; Stephen H. Muggleton (ICMLA, 2005)

Application of abductive ILP to learning metabolic network inhibition from temporal data. - Alireza Tamaddoni-Nezhad; Raphael Chaleil; Antonis C. Kakas; Stephen H. Muggleton (Mach. Learn., 2006)

TopLog: ILP Using a Logic Program Declarative Bias. - Stephen H. Muggleton; José Carlos Almeida Santos; Alireza Tamaddoni-Nezhad (ICLP, 2008)

A Note on Refinement Operators for IE-Based ILP Systems. - Alireza Tamaddoni-Nezhad; Stephen H. Muggleton (ILP, 2008)

QG/GA: a stochastic search for Progol. - Stephen H. Muggleton; Alireza Tamaddoni-Nezhad (Mach. Learn., 2008)

An ILP System for Learning Head Output Connected Predicates. - José Carlos Almeida Santos; Alireza Tamaddoni-Nezhad; Stephen H. Muggleton (EPIA, 2009)

ProGolem: A System Based on Relative Minimal Generalisation. - Stephen H. Muggleton; José Carlos Almeida Santos; Alireza Tamaddoni-Nezhad (ILP, 2009)

The lattice structure and refinement operators for the hypothesis space bounded by a bottom clause. - Alireza Tamaddoni-Nezhad; Stephen H. Muggleton (Mach. Learn., 2009)

Stochastic Refinement. - Alireza Tamaddoni-Nezhad; Stephen H. Muggleton (ILP, 2010)

MC-TopLog: Complete Multi-clause Learning Guided by a Top Theory. - Stephen H. Muggleton; Dianhuan Lin; Alireza Tamaddoni-Nezhad (ILP, 2011)

Machine Learning a Probabilistic Network of Ecological Interactions. - Alireza Tamaddoni-Nezhad; David A. Bohan; Alan Raybould; Stephen H. Muggleton (ILP, 2011)

Machine Learning and Text Mining of Trophic Links. - Ghazal Afroozi Milani; David A. Bohan; Stuart J. Dunbar; Stephen H. Muggleton; Alan Raybould; Alireza Tamaddoni-Nezhad (ICMLA (2), 2012)

MetaBayes: Bayesian Meta-Interpretative Learning Using Higher-Order Stochastic Refinement. - Stephen H. Muggleton; Dianhuan Lin; Jianzhong Chen; Alireza Tamaddoni-Nezhad (ILP, 2013)

Logic-based machine learning using a bounded hypothesis space : the lattice structure, refinement operators and a genetic algorithm approach. - Alireza Tamaddoni-Nezhad (2013)

Towards Machine Learning of Predictive Models from Ecological Data. - Alireza Tamaddoni-Nezhad; David A. Bohan; Alan Raybould; Stephen H. Muggleton (ILP, 2014)

Meta-interpretive learning: application to grammatical inference. - Stephen H. Muggleton; Dianhuan Lin; Niels Pahlavi; Alireza Tamaddoni-Nezhad (Mach. Learn., 2014)

Meta-Interpretive Learning of Data Transformation Programs. - Andrew Cropper; Alireza Tamaddoni-Nezhad; Stephen H. Muggleton (ILP, 2015)

Meta-interpretive learning of higher-order dyadic datalog: predicate invention revisited. - Stephen H. Muggleton; Dianhuan Lin; Alireza Tamaddoni-Nezhad (Mach. Learn., 2015)

How Does Predicate Invention Affect Human Comprehensibility? - Ute Schmid; Christina Zeller; Tarek R. Besold; Alireza Tamaddoni-Nezhad; Stephen H. Muggleton (ILP, 2016)

Logical Vision: One-Shot Meta-Interpretive Learning from Real Images. - Wang-Zhou Dai; Stephen H. Muggleton; Jing Wen; Alireza Tamaddoni-Nezhad; Zhi-Hua Zhou (ILP, 2017)

Meta-Interpretive Learning from noisy images. - Stephen H. Muggleton; Wang-Zhou Dai; Claude Sammut; Alireza Tamaddoni-Nezhad; Jing Wen; Zhi-Hua Zhou (Mach. Learn., 2018)

Ultra-Strong Machine Learning: comprehensibility of programs learned with ILP. - Stephen H. Muggleton; Ute Schmid; Christina Zeller; Alireza Tamaddoni-Nezhad; Tarek R. Besold (Mach. Learn., 2018)

One-Shot Rule Learning for Challenging Character Recognition. - Dany Varghese; Alireza Tamaddoni-Nezhad (RuleML+RR (Supplement), 2020)

Machine Learning of Microbial Interactions Using Abductive ILP and Hypothesis Frequency/Compression Estimation. - Didac Barroso-Bergada; Alireza Tamaddoni-Nezhad; Stephen H. Muggleton; Corinne Vacher; Nika Galic; David A. Bohan (ILP, 2021)

Human-Like Rule Learning from Images Using One-Shot Hypothesis Derivation. - Dany Varghese; Roman Bauer 001; Daniel Baxter-Beard; Stephen H. Muggleton; Alireza Tamaddoni-Nezhad (ILP, 2021)

Human-Machine Scientific Discovery. - Alireza Tamaddoni-Nezhad; David A. Bohan; Ghazal Afroozi Milani; Alan Raybould; Stephen H. Muggleton (Human-Like Machine Intelligence, 2022)

Efficient Abductive Learning of Microbial Interactions Using Meta Inverse Entailment. - Dany Varghese; Didac Barroso-Bergada; David A. Bohan; Alireza Tamaddoni-Nezhad (ILP, 2022)

Prediction Based Decision Making for Autonomous Highway Driving. - Mustafa Yildirim; Sajjad Mozaffari; Luc McCutcheon; Mehrdad Dianati; Alireza Tamaddoni-Nezhad; Saber Fallah (ITSC, 2022)

Meta-interpretive Learning from Fractal Images. - Daniel Cyrus; James Trewern; Alireza Tamaddoni-Nezhad (ILP, 2023)

Few-Shot Learning of Diagnostic Rules for Neurodegenerative Diseases Using Inductive Logic Programming. - Dany Varghese; Roman Bauer 001; Alireza Tamaddoni-Nezhad (ILP, 2023)

Explainable Game Strategy Rule Learning from Video. - Daniel Cyrus; Ghazal Afroozi Milani; Alireza Tamaddoni-Nezhad (RuleML+RR (Companion), 2023)

Towards One-Shot Learning for Text Classification using Inductive Logic Programming. - Ghazal Afroozi Milani; Daniel Cyrus; Alireza Tamaddoni-Nezhad (ICLP, 2023)

Explainable and Trustworthy Traffic Sign Detection for Safe Autonomous Driving: An Inductive Logic Programming Approach. - Zahra Chaghazardi; Saber Fallah; Alireza Tamaddoni-Nezhad (ICLP, 2023)

Human-Like Autonomous Driving on Dense Traffic. - Mustafa Yildirim; Saber Fallah; Alireza Tamaddoni-Nezhad (CoRR, 2023)

Trustworthy Vision for Autonomous Vehicles: A Robust Logic-Infused Deep Learning Approach. - Zahra Chaghazardi; Saber Fallah; Alireza Tamaddoni-Nezhad (ITSC, 2024)