Trustworthy Vision for Autonomous Vehicles: A Robust Logic-Infused Deep Learning Approach - Zahra Chaghazardi; Saber Fallah; Alireza Tamaddoni-Nezhad (27th IEEE International Conference on Intelligent Transportation Systems, ITSC 2024, Edmonton, AB, Canada, September 24-27, 2024, 2024)

Inductive Logic Programming - 31st International Conference, ILP 2022, Windsor Great Park, UK, September 28-30, 2022, Proceedings - Stephen H. Muggleton; Alireza Tamaddoni-Nezhad (Springer, 2024)

Few-Shot Learning of Diagnostic Rules for Neurodegenerative Diseases Using Inductive Logic Programming - Dany Varghese; Roman Bauer; Alireza Tamaddoni-Nezhad (Inductive Logic Programming - 32nd International Conference, ILP 2023, Bari, Italy, November 13-15, 2023, Proceedings, 2023)

Meta-interpretive Learning from Fractal Images - Daniel Cyrus; James Trewern; Alireza Tamaddoni-Nezhad (Inductive Logic Programming - 32nd International Conference, ILP 2023, Bari, Italy, November 13-15, 2023, Proceedings, 2023)

Explainable Game Strategy Rule Learning from Video - Daniel Cyrus; Ghazal Afroozi Milani; Alireza Tamaddoni-Nezhad (Proceedings of the 17th International Rule Challenge and 7th Doctoral Consortium @ RuleML+RR 2023 co-located with 19th Reasoning Web Summer School (RW 2023) and 15th DecisionCAMP 2023 as part of Declarative AI 2023, Oslo, Norway, 18 - 20 September, 2023, 2023)

Towards One-Shot Learning for Text Classification using Inductive Logic Programming - Ghazal Afroozi Milani; Daniel Cyrus; Alireza Tamaddoni-Nezhad (Proceedings 39th International Conference on Logic Programming, ICLP 2023, Imperial College London, UK, 9th July 2023 - 15th July 2023, 2023)

Explainable and Trustworthy Traffic Sign Detection for Safe Autonomous Driving: An Inductive Logic Programming Approach - Zahra Chaghazardi; Saber Fallah; Alireza Tamaddoni-Nezhad (Proceedings 39th International Conference on Logic Programming, ICLP 2023, Imperial College London, UK, 9th July 2023 - 15th July 2023, 2023)

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

Efficient Abductive Learning of Microbial Interactions Using Meta Inverse Entailment - Dany Varghese; Didac Barroso-Bergada; David A. Bohan; Alireza Tamaddoni-Nezhad (Inductive Logic Programming - 31st International Conference, ILP 2022, Windsor Great Park, UK, September 28-30, 2022, Proceedings, 2022)

Prediction Based Decision Making for Autonomous Highway Driving - Mustafa Yildirim; Sajjad Mozaffari; Luc McCutcheon; Mehrdad Dianati; Alireza Tamaddoni-Nezhad; Saber Fallah (25th IEEE International Conference on Intelligent Transportation Systems, ITSC 2022, Macau, China, October 8-12, 2022, 2022)

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

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

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 (Inductive Logic Programming - 30th International Conference, ILP 2021, Virtual Event, October 25-27, 2021, Proceedings, 2021)

Human-Like Rule Learning from Images Using One-Shot Hypothesis Derivation - Dany Varghese; Roman Bauer; Daniel Baxter-Beard; Stephen H. Muggleton; Alireza Tamaddoni-Nezhad (Inductive Logic Programming - 30th International Conference, ILP 2021, Virtual Event, October 25-27, 2021, Proceedings, 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 - Ahmet Soylu; Alireza Tamaddoni-Nezhad; Nikolay Nikolov; Ioan Toma; Anna Fensel; Joost Vennekens (CEUR-WS.org, 2021)

One-Shot Rule Learning for Challenging Character Recognition - Dany Varghese; Alireza Tamaddoni-Nezhad (Proceedings of the 14th International Rule Challenge, 4th Doctoral Consortium, and 6th Industry Track @ RuleML+RR 2020 co-located with 16th Reasoning Web Summer School (RW 2020) 12th DecisionCAMP 2020 as part of Declarative AI 2020, Oslo, Norway (virtual due to Covid-19 pandemic), 29 June - 1 July, 2020, 2020)

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)

Logical Vision: One-Shot Meta-Interpretive Learning from Real Images - Wang-Zhou Dai; Stephen H. Muggleton; Jing Wen; Alireza Tamaddoni-Nezhad; Zhi-Hua Zhou (Inductive Logic Programming - 27th International Conference, ILP 2017, Orléans, France, September 4-6, 2017, Revised Selected Papers, 2017)

How Does Predicate Invention Affect Human Comprehensibility? - Ute Schmid; Christina Zeller; Tarek R. Besold; Alireza Tamaddoni-Nezhad; Stephen H. Muggleton (Inductive Logic Programming - 26th International Conference, ILP 2016, London, UK, September 4-6, 2016, Revised Selected Papers, 2016)

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

Meta-Interpretive Learning of Data Transformation Programs - Andrew Cropper; Alireza Tamaddoni-Nezhad; Stephen H. Muggleton (Inductive Logic Programming - 25th International Conference, ILP 2015, Kyoto, Japan, August 20-22, 2015, Revised Selected Papers, 2015)

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

Towards Machine Learning of Predictive Models from Ecological Data - Alireza Tamaddoni-Nezhad; David A. Bohan; Alan Raybould; Stephen H. Muggleton (Inductive Logic Programming - 24th International Conference, ILP 2014, Nancy, France, September 14-16, 2014, Revised Selected Papers, 2014)

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

MetaBayes: Bayesian Meta-Interpretative Learning Using Higher-Order Stochastic Refinement - Stephen H. Muggleton; Dianhuan Lin; Jianzhong Chen; Alireza Tamaddoni-Nezhad (Inductive Logic Programming - 23rd International Conference, ILP 2013, Rio de Janeiro, Brazil, August 28-30, 2013, Revised Selected Papers, 2013)

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 (11th International Conference on Machine Learning and Applications, ICMLA, Boca Raton, FL, USA, December 12-15, 2012. Volume 2, 2012)

Inductive Logic Programming - 21st International Conference, ILP 2011, Windsor Great Park, UK, July 31 - August 3, 2011, Revised Selected Papers - Stephen H. Muggleton; Alireza Tamaddoni-Nezhad; Francesca A. Lisi (Springer, 2012)

MC-TopLog: Complete Multi-clause Learning Guided by a Top Theory - Stephen H. Muggleton; Dianhuan Lin; Alireza Tamaddoni-Nezhad (Inductive Logic Programming - 21st International Conference, ILP 2011, Windsor Great Park, UK, July 31 - August 3, 2011, Revised Selected Papers, 2011)

Machine Learning a Probabilistic Network of Ecological Interactions - Alireza Tamaddoni-Nezhad; David A. Bohan; Alan Raybould; Stephen H. Muggleton (Inductive Logic Programming - 21st International Conference, ILP 2011, Windsor Great Park, UK, July 31 - August 3, 2011, Revised Selected Papers, 2011)

Stochastic Refinement - Alireza Tamaddoni-Nezhad; Stephen H. Muggleton (Inductive Logic Programming - 20th International Conference, ILP 2010, Florence, Italy, June 27-30, 2010. Revised Papers, 2010)

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

An ILP System for Learning Head Output Connected Predicates - José Carlos Almeida Santos; Alireza Tamaddoni-Nezhad; Stephen H. Muggleton (Progress in Artificial Intelligence, 14th Portuguese Conference on Artificial Intelligence, EPIA 2009, Aveiro, Portugal, October 12-15, 2009. Proceedings, 2009)

ProGolem: A System Based on Relative Minimal Generalisation - Stephen H. Muggleton; José Carlos Almeida Santos; Alireza Tamaddoni-Nezhad (Inductive Logic Programming, 19th International Conference, ILP 2009, Leuven, Belgium, July 02-04, 2009. Revised Papers, 2009)

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

TopLog: ILP Using a Logic Program Declarative Bias - Stephen H. Muggleton; José Carlos Almeida Santos; Alireza Tamaddoni-Nezhad (Logic Programming, 24th International Conference, ICLP 2008, Udine, Italy, December 9-13 2008, Proceedings, 2008)

A Note on Refinement Operators for IE-Based ILP Systems - Alireza Tamaddoni-Nezhad; Stephen H. Muggleton (Inductive Logic Programming, 18th International Conference, ILP 2008, Prague, Czech Republic, September 10-12, 2008, Proceedings, 2008)

Inductive Logic Programming, 16th International Conference, ILP 2006, Santiago de Compostela, Spain, August 24-27, 2006, Revised Selected Papers - Stephen H. Muggleton; Ramón P. Otero; Alireza Tamaddoni-Nezhad (Springer, 2007)

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)

QG/GA: A Stochastic Search for Progol - Stephen H. Muggleton; Alireza Tamaddoni-Nezhad (Inductive Logic Programming, 16th International Conference, ILP 2006, Santiago de Compostela, Spain, August 24-27, 2006, Revised Selected Papers, 2006)

Virtual characteristics measurement using factor analysis - Ghazal Afroozi Milani; Koorush Ziarati; Alireza Tamaddoni-Nezhad (ICETE 2005 - Proceedings of the Second International Conference on e-Business and Telecommunication Networks, Reading, UK, October 3-7, 2005, 2005)

Abduction and induction for learning models of inhibition in metabolic networks - Alireza Tamaddoni-Nezhad; Raphael Chaleil; Antonis C. Kakas; Stephen H. Muggleton (Fourth International Conference on Machine Learning and Applications, ICMLA 2005, Los Angeles, California, USA, 15-17 December 2005, 2005)

Modelling Inhibition in Metabolic Pathways Through Abduction and Induction - Alireza Tamaddoni-Nezhad; Antonis C. Kakas; Stephen H. Muggleton; Florencio Pazos (Inductive Logic Programming, 14th International Conference, ILP 2004, Porto, Portugal, September 6-8, 2004, Proceedings, 2004)

Induction of Enzyme Classes from Biological Databases - Stephen H. Muggleton; Alireza Tamaddoni-Nezhad; Hiroaki Watanabe (Inductive Logic Programming: 13th International Conference, ILP 2003, Szeged, Hungary, September 29-October 1, 2003, Proceedings, 2003)

A Genetic Algorithms Approach to ILP - Alireza Tamaddoni-Nezhad; Stephen H. Muggleton (Inductive Logic Programming, 12th International Conference, ILP 2002, Sydney, Australia, July 9-11, 2002. Revised Papers, 2002)

Searching the Subsumption Lattice by a Genetic Algorithm - Alireza Tamaddoni-Nezhad; Stephen H. Muggleton (Inductive Logic Programming, 10th International Conference, ILP 2000, London, UK, July 24-27, 2000, Proceedings, 2000)