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ORCIDAlireza Tamaddoni-Nezhad
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2020 – today
- 2024
[e4]Stephen H. Muggleton, Alireza Tamaddoni-Nezhad:
Inductive Logic Programming - 31st International Conference, ILP 2022, Windsor Great Park, UK, September 28-30, 2022, Proceedings. Lecture Notes in Computer Science 13779, Springer 2024, ISBN 978-3-031-55629-6 [contents]- 2023
- [c30]Dany Varghese
, Roman Bauer, Alireza Tamaddoni-Nezhad:
Few-Shot Learning of Diagnostic Rules for Neurodegenerative Diseases Using Inductive Logic Programming. ILP 2023: 109-123 - [c29]Daniel Cyrus, James Trewern, Alireza Tamaddoni-Nezhad:
Meta-interpretive Learning from Fractal Images. ILP 2023: 166-174 - [c28]Daniel Cyrus, Ghazal Afroozi Milani, Alireza Tamaddoni-Nezhad:
Explainable Game Strategy Rule Learning from Video. RuleML+RR (Companion) 2023 - [c27]Ghazal Afroozi Milani, Daniel Cyrus, Alireza Tamaddoni-Nezhad:
Towards One-Shot Learning for Text Classification using Inductive Logic Programming. ICLP 2023: 69-79 - [c26]Zahra Chaghazardi, Saber Fallah, Alireza Tamaddoni-Nezhad:
Explainable and Trustworthy Traffic Sign Detection for Safe Autonomous Driving: An Inductive Logic Programming Approach. ICLP 2023: 201-212 - [i2]Mustafa Yildirim, Saber Fallah, Alireza Tamaddoni-Nezhad:
Human-Like Autonomous Driving on Dense Traffic. CoRR abs/2310.02477 (2023) - 2022
- [c25]Dany Varghese, Didac Barroso-Bergada, David A. Bohan, Alireza Tamaddoni-Nezhad:
Efficient Abductive Learning of Microbial Interactions Using Meta Inverse Entailment. ILP 2022: 127-141 - [c24]Mustafa Yildirim, Sajjad Mozaffari, Luc McCutcheon, Mehrdad Dianati, Alireza Tamaddoni-Nezhad, Saber Fallah:
Prediction Based Decision Making for Autonomous Highway Driving. ITSC 2022: 138-145 - [p1]Alireza Tamaddoni-Nezhad, David A. Bohan, Ghazal Afroozi Milani, Alan Raybould, Stephen H. Muggleton:
Human-Machine Scientific Discovery. Human-Like Machine Intelligence 2022: 297-315 - [i1]Mustafa Yildirim, Sajjad Mozaffari, Luc McCutcheon, Mehrdad Dianati, Alireza Tamaddoni-Nezhad, Saber Fallah:
Prediction Based Decision Making for Autonomous Highway Driving. CoRR abs/2209.02106 (2022) - 2021
- [c23]Didac Barroso-Bergada, Alireza Tamaddoni-Nezhad, Stephen H. Muggleton, Corinne Vacher, Nika Galic, David A. Bohan:
Machine Learning of Microbial Interactions Using Abductive ILP and Hypothesis Frequency/Compression Estimation. ILP 2021: 26-40 - [c22]Dany Varghese, Roman Bauer, Daniel Baxter-Beard, Stephen H. Muggleton, Alireza Tamaddoni-Nezhad:
Human-Like Rule Learning from Images Using One-Shot Hypothesis Derivation. ILP 2021: 234-250 - [e3]Ahmet Soylu, Alireza Tamaddoni-Nezhad, Nikolay Nikolov, Ioan Toma, Anna Fensel, Joost Vennekens:
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 Workshop Proceedings 2956, CEUR-WS.org 2021 [contents] - 2020
- [c21]Dany Varghese, Alireza Tamaddoni-Nezhad:
One-Shot Rule Learning for Challenging Character Recognition. RuleML+RR (Supplement) 2020: 10-27
2010 – 2019
- 2018
- [j7]Stephen H. Muggleton, Wang-Zhou Dai, Claude Sammut, Alireza Tamaddoni-Nezhad, Jing Wen, Zhi-Hua Zhou:
Meta-Interpretive Learning from noisy images. Mach. Learn. 107(7): 1097-1118 (2018) - [j6]Stephen H. Muggleton, Ute Schmid, Christina Zeller, Alireza Tamaddoni-Nezhad, Tarek R. Besold:
Ultra-Strong Machine Learning: comprehensibility of programs learned with ILP. Mach. Learn. 107(7): 1119-1140 (2018) - 2017
- [c20]Wang-Zhou Dai, Stephen H. Muggleton, Jing Wen, Alireza Tamaddoni-Nezhad, Zhi-Hua Zhou:
Logical Vision: One-Shot Meta-Interpretive Learning from Real Images. ILP 2017: 46-62 - 2016
- [c19]Ute Schmid, Christina Zeller, Tarek R. Besold, Alireza Tamaddoni-Nezhad, Stephen H. Muggleton:
How Does Predicate Invention Affect Human Comprehensibility? ILP 2016: 52-67 - 2015
- [j5]Stephen H. Muggleton, Dianhuan Lin, Alireza Tamaddoni-Nezhad:
Meta-interpretive learning of higher-order dyadic datalog: predicate invention revisited. Mach. Learn. 100(1): 49-73 (2015) - [c18]Andrew Cropper, Alireza Tamaddoni-Nezhad, Stephen H. Muggleton:
Meta-Interpretive Learning of Data Transformation Programs. ILP 2015: 46-59 - 2014
- [j4]Stephen H. Muggleton, Dianhuan Lin, Niels Pahlavi, Alireza Tamaddoni-Nezhad:
Meta-interpretive learning: application to grammatical inference. Mach. Learn. 94(1): 25-49 (2014) - [c17]Alireza Tamaddoni-Nezhad, David A. Bohan, Alan Raybould, Stephen H. Muggleton:
Towards Machine Learning of Predictive Models from Ecological Data. ILP 2014: 154-167 - 2013
- [b1]Alireza Tamaddoni-Nezhad:
Logic-based machine learning using a bounded hypothesis space : the lattice structure, refinement operators and a genetic algorithm approach. Imperial College London, UK, 2013 - [c16]Stephen H. Muggleton, Dianhuan Lin, Jianzhong Chen, Alireza Tamaddoni-Nezhad:
MetaBayes: Bayesian Meta-Interpretative Learning Using Higher-Order Stochastic Refinement. ILP 2013: 1-17 - 2012
- [c15]Ghazal Afroozi Milani, David A. Bohan, Stuart J. Dunbar, Stephen H. Muggleton, Alan Raybould, Alireza Tamaddoni-Nezhad:
Machine Learning and Text Mining of Trophic Links. ICMLA (2) 2012: 410-415 - [e2]Stephen H. Muggleton, Alireza Tamaddoni-Nezhad, Francesca A. Lisi:
Inductive Logic Programming - 21st International Conference, ILP 2011, Windsor Great Park, UK, July 31 - August 3, 2011, Revised Selected Papers. Lecture Notes in Computer Science 7207, Springer 2012, ISBN 978-3-642-31950-1 [contents] - 2011
- [c14]Stephen H. Muggleton, Dianhuan Lin, Alireza Tamaddoni-Nezhad:
MC-TopLog: Complete Multi-clause Learning Guided by a Top Theory. ILP 2011: 238-254 - [c13]Alireza Tamaddoni-Nezhad, David A. Bohan, Alan Raybould, Stephen H. Muggleton:
Machine Learning a Probabilistic Network of Ecological Interactions. ILP 2011: 332-346 - 2010
- [c12]Alireza Tamaddoni-Nezhad, Stephen H. Muggleton:
Stochastic Refinement. ILP 2010: 222-237
2000 – 2009
- 2009
- [j3]Alireza Tamaddoni-Nezhad, Stephen H. Muggleton:
The lattice structure and refinement operators for the hypothesis space bounded by a bottom clause. Mach. Learn. 76(1): 37-72 (2009) - [c11]José Carlos Almeida Santos, Alireza Tamaddoni-Nezhad, Stephen H. Muggleton:
An ILP System for Learning Head Output Connected Predicates. EPIA 2009: 150-159 - [c10]Stephen H. Muggleton, José Carlos Almeida Santos, Alireza Tamaddoni-Nezhad:
ProGolem: A System Based on Relative Minimal Generalisation. ILP 2009: 131-148 - 2008
- [j2]Stephen H. Muggleton, Alireza Tamaddoni-Nezhad:
QG/GA: a stochastic search for Progol. Mach. Learn. 70(2-3): 121-133 (2008) - [c9]Stephen H. Muggleton, José Carlos Almeida Santos, Alireza Tamaddoni-Nezhad:
TopLog: ILP Using a Logic Program Declarative Bias. ICLP 2008: 687-692 - [c8]Alireza Tamaddoni-Nezhad, Stephen H. Muggleton:
A Note on Refinement Operators for IE-Based ILP Systems. ILP 2008: 297-314 - 2007
- [e1]Stephen H. Muggleton, Ramón P. Otero, Alireza Tamaddoni-Nezhad:
Inductive Logic Programming, 16th International Conference, ILP 2006, Santiago de Compostela, Spain, August 24-27, 2006, Revised Selected Papers. Lecture Notes in Computer Science 4455, Springer 2007, ISBN 978-3-540-73846-6 [contents] - 2006
- [j1]Alireza Tamaddoni-Nezhad, Raphael Chaleil, Antonis C. Kakas, Stephen H. Muggleton:
Application of abductive ILP to learning metabolic network inhibition from temporal data. Mach. Learn. 64(1-3): 209-230 (2006) - [c7]Stephen H. Muggleton, Alireza Tamaddoni-Nezhad:
QG/GA: A Stochastic Search for Progol. ILP 2006: 37-39 - 2005
- [c6]Ghazal Afroozi Milani, Koorush Ziarati, Alireza Tamaddoni-Nezhad:
Virtual characteristics measurement using factor analysis. ICETE 2005: 102-108 - [c5]Alireza Tamaddoni-Nezhad, Raphael Chaleil, Antonis C. Kakas, Stephen H. Muggleton:
Abduction and induction for learning models of inhibition in metabolic networks. ICMLA 2005 - 2004
- [c4]Alireza Tamaddoni-Nezhad, Antonis C. Kakas, Stephen H. Muggleton, Florencio Pazos:
Modelling Inhibition in Metabolic Pathways Through Abduction and Induction. ILP 2004: 305-322 - 2003
- [c3]Stephen H. Muggleton, Alireza Tamaddoni-Nezhad, Hiroaki Watanabe:
Induction of Enzyme Classes from Biological Databases. ILP 2003: 269-280 - 2002
- [c2]Alireza Tamaddoni-Nezhad, Stephen H. Muggleton:
A Genetic Algorithms Approach to ILP. ILP 2002: 285-300 - 2000
- [c1]Alireza Tamaddoni-Nezhad, Stephen H. Muggleton:
Searching the Subsumption Lattice by a Genetic Algorithm. ILP 2000: 243-252
Coauthor Index
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