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

Inductive Logic Programming - 31st International Conference, ILP 2022, Windsor Great Park, UK, September 28-30, 2022, Proceedings (Springer, 2024)

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

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

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

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

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

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

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

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

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

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

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

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

Proceedings of the 15th International Rule Challenge, 7th Industry Track, and 5th Doctoral Consortium @ RuleML+RR 2021 co-located with 17th Reasoning Web Summer School (RW 2021) and 13th DecisionCAMP 2021 as part of Declarative AI 2021, Leuven, Belgium (virtual due to Covid-19 pandemic), 8 - 15 September, 2021. (CEUR-WS.org, 2021)

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

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

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

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

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

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

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

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

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

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

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

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

Inductive Logic Programming - 21st International Conference, ILP 2011, Windsor Great Park, UK, July 31 - August 3, 2011, Revised Selected Papers (Springer, 2012)

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

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

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

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

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

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

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

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

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

Inductive Logic Programming, 16th International Conference, ILP 2006, Santiago de Compostela, Spain, August 24-27, 2006, Revised Selected Papers (Springer, 2007)

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

QG/GA: A Stochastic Search for Progol. - Muggleton, Stephen H.; Tamaddoni-Nezhad, Alireza (2006)

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

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

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

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

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

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