Alireza Tamaddoni-Nezhad

According to our database, Alireza Tamaddoni-Nezhad authored at least 39 papers between 2000 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Human-Like Autonomous Driving on Dense Traffic.

Mustafa Yildirim, Saber Fallah, Alireza Tamaddoni-Nezhad

CoRR, 2023

Explainable and Trustworthy Traffic Sign Detection for Safe Autonomous Driving: An Inductive Logic Programming Approach.

Zahra Chaghazardi, Saber Fallah, Alireza Tamaddoni-Nezhad

Proceedings of the Proceedings 39th International Conference on Logic Programming, 2023

Towards One-Shot Learning for Text Classification using Inductive Logic Programming.

Ghazal Afroozi Milani, Daniel Cyrus, Alireza Tamaddoni-Nezhad

Proceedings of the Proceedings 39th International Conference on Logic Programming, 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, 2023

Few-Shot Learning of Diagnostic Rules for Neurodegenerative Diseases Using Inductive Logic Programming.

Dany Varghese, Roman Bauer, Alireza Tamaddoni-Nezhad

Proceedings of the Inductive Logic Programming - 32nd International Conference, 2023

Meta-interpretive Learning from Fractal Images.

Daniel Cyrus, James Trewern, Alireza Tamaddoni-Nezhad

Proceedings of the Inductive Logic Programming - 32nd International Conference, 2023

2022

Prediction Based Decision Making for Autonomous Highway Driving.

Mustafa Yildirim, Sajjad Mozaffari, Luc McCutcheon, Mehrdad Dianati, Alireza Tamaddoni-Nezhad, Saber Fallah

Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2022

Efficient Abductive Learning of Microbial Interactions Using Meta Inverse Entailment.

Dany Varghese, Didac Barroso-Bergada, David A. Bohan, Alireza Tamaddoni-Nezhad

Proceedings of the Inductive Logic Programming - 31st International Conference, 2022

Human-Machine Scientific Discovery.

Alireza Tamaddoni-Nezhad, David A. Bohan, Ghazal Afroozi Milani, Alan Raybould, Stephen H. Muggleton

Proceedings of the Human-Like Machine Intelligence., 2022

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

Proceedings of the Inductive Logic Programming - 30th International Conference, 2021

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

Proceedings of the Inductive Logic Programming - 30th International Conference, 2021

2020

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, 2020

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

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

2017

Logical Vision: One-Shot Meta-Interpretive Learning from Real Images.

Wang-Zhou Dai, Stephen H. Muggleton, Jing Wen, Alireza Tamaddoni-Nezhad, Zhi-Hua Zhou

Proceedings of the Inductive Logic Programming - 27th International Conference, 2017

2016

How Does Predicate Invention Affect Human Comprehensibility?

Ute Schmid, Christina Zeller, Tarek R. Besold, Alireza Tamaddoni-Nezhad, Stephen H. Muggleton

Proceedings of the Inductive Logic Programming - 26th International Conference, 2016

2015

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

Proceedings of the Inductive Logic Programming - 25th International Conference, 2015

2014

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

Proceedings of the Inductive Logic Programming - 24th International Conference, 2014

2013

Logic-based machine learning using a bounded hypothesis space : the lattice structure, refinement operators and a genetic algorithm approach.

Alireza Tamaddoni-Nezhad

PhD thesis, 2013

MetaBayes: Bayesian Meta-Interpretative Learning Using Higher-Order Stochastic Refinement.

Stephen H. Muggleton, Dianhuan Lin, Jianzhong Chen, Alireza Tamaddoni-Nezhad

Proceedings of the Inductive Logic Programming - 23rd International Conference, 2013

2012

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

Proceedings of the 11th International Conference on Machine Learning and Applications, 2012

2011

Machine Learning a Probabilistic Network of Ecological Interactions.

Alireza Tamaddoni-Nezhad, David A. Bohan, Alan Raybould, Stephen H. Muggleton

Proceedings of the Inductive Logic Programming - 21st International Conference, 2011

MC-TopLog: Complete Multi-clause Learning Guided by a Top Theory.

Stephen H. Muggleton, Dianhuan Lin, Alireza Tamaddoni-Nezhad

Proceedings of the Inductive Logic Programming - 21st International Conference, 2011

2010

Stochastic Refinement.

Alireza Tamaddoni-Nezhad, Stephen H. Muggleton

Proceedings of the Inductive Logic Programming - 20th International Conference, 2010

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

ProGolem: A System Based on Relative Minimal Generalisation.

Stephen H. Muggleton, José Carlos Almeida Santos, Alireza Tamaddoni-Nezhad

Proceedings of the Inductive Logic Programming, 19th International Conference, 2009

An ILP System for Learning Head Output Connected Predicates.

José Carlos Almeida Santos, Alireza Tamaddoni-Nezhad, Stephen H. Muggleton

Proceedings of the Progress in Artificial Intelligence, 2009

2008

QG/GA: a stochastic search for Progol.

Stephen H. Muggleton, Alireza Tamaddoni-Nezhad

Mach. Learn., 2008

A Note on Refinement Operators for IE-Based ILP Systems.

Alireza Tamaddoni-Nezhad, Stephen H. Muggleton

Proceedings of the Inductive Logic Programming, 18th International Conference, 2008

TopLog: ILP Using a Logic Program Declarative Bias.

Stephen H. Muggleton, José Carlos Almeida Santos, Alireza Tamaddoni-Nezhad

Proceedings of the Logic Programming, 24th International Conference, 2008

2006

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

2005

Abduction and induction for learning models of inhibition in metabolic networks.

Alireza Tamaddoni-Nezhad, Raphael Chaleil, Antonis C. Kakas, Stephen H. Muggleton

Proceedings of the Fourth International Conference on Machine Learning and Applications, 2005

Virtual characteristics measurement using factor analysis.

Ghazal Afroozi Milani, Koorush Ziarati, Alireza Tamaddoni-Nezhad

Proceedings of the ICETE 2005, 2005

2004

Modelling Inhibition in Metabolic Pathways Through Abduction and Induction.

Alireza Tamaddoni-Nezhad, Antonis C. Kakas, Stephen H. Muggleton, Florencio Pazos

Proceedings of the Inductive Logic Programming, 14th International Conference, 2004

2003

Induction of Enzyme Classes from Biological Databases.

Stephen H. Muggleton, Alireza Tamaddoni-Nezhad, Hiroaki Watanabe

Proceedings of the Inductive Logic Programming: 13th International Conference, 2003

2002

A Genetic Algorithms Approach to ILP.

Alireza Tamaddoni-Nezhad, Stephen H. Muggleton

Proceedings of the Inductive Logic Programming, 12th International Conference, 2002

2000

Searching the Subsumption Lattice by a Genetic Algorithm.

Alireza Tamaddoni-Nezhad, Stephen H. Muggleton

Proceedings of the Inductive Logic Programming, 10th International Conference, 2000