Alireza Tamaddoni-Nezhad
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
24
Venues
4
Active years
2000–2023
Best venue rank
B
Where they publish
Papers
24 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2023 | ILP | Meta-interpretive Learning from Fractal Images. | Daniel Cyrus, James Trewern, Alireza Tamaddoni-Nezhad |
| 2023 | ILP | Few-Shot Learning of Diagnostic Rules for Neurodegenerative Diseases Using Inductive Logic Programming. | Dany Varghese, Roman Bauer, Alireza Tamaddoni-Nezhad |
| 2022 | ILP | Efficient Abductive Learning of Microbial Interactions Using Meta Inverse Entailment. | Dany Varghese, Didac Barroso-Bergada, David A. Bohan, Alireza Tamaddoni-Nezhad |
| 2021 | ILP | 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 |
| 2021 | ILP | Human-Like Rule Learning from Images Using One-Shot Hypothesis Derivation. | Dany Varghese, Roman Bauer, Daniel Baxter-Beard, Stephen H. Muggleton, Alireza Tamaddoni-Nezhad |
| 2017 | ILP | Logical Vision: One-Shot Meta-Interpretive Learning from Real Images. | Wang-Zhou Dai, Stephen H. Muggleton, Jing Wen, Alireza Tamaddoni-Nezhad, Zhi-Hua Zhou |
| 2016 | ILP | How Does Predicate Invention Affect Human Comprehensibility? | Ute Schmid, Christina Zeller, Tarek R. Besold, Alireza Tamaddoni-Nezhad, Stephen H. Muggleton |
| 2015 | ILP | Meta-Interpretive Learning of Data Transformation Programs. | Andrew Cropper, Alireza Tamaddoni-Nezhad, Stephen H. Muggleton |
| 2014 | ILP | Towards Machine Learning of Predictive Models from Ecological Data. | Alireza Tamaddoni-Nezhad, David A. Bohan, Alan Raybould, Stephen H. Muggleton |
| 2013 | ILP | MetaBayes: Bayesian Meta-Interpretative Learning Using Higher-Order Stochastic Refinement. | Stephen H. Muggleton, Dianhuan Lin, Jianzhong Chen, Alireza Tamaddoni-Nezhad |
| 2012 | ICMLA | 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 |
| 2011 | ILP | MC-TopLog: Complete Multi-clause Learning Guided by a Top Theory. | Stephen H. Muggleton, Dianhuan Lin, Alireza Tamaddoni-Nezhad |
| 2011 | ILP | Machine Learning a Probabilistic Network of Ecological Interactions. | Alireza Tamaddoni-Nezhad, David A. Bohan, Alan Raybould, Stephen H. Muggleton |
| 2010 | ILP | Stochastic Refinement. | Alireza Tamaddoni-Nezhad, Stephen H. Muggleton |
| 2009 | EPIA | An ILP System for Learning Head Output Connected Predicates. | Jos Carlos Almeida Santos, Alireza Tamaddoni-Nezhad, Stephen H. Muggleton |
| 2009 | ILP | ProGolem: A System Based on Relative Minimal Generalisation. | Stephen H. Muggleton, Jos Carlos Almeida Santos, Alireza Tamaddoni-Nezhad |
| 2008 | ICLP | TopLog: ILP Using a Logic Program Declarative Bias. | Stephen H. Muggleton, Jos Carlos Almeida Santos, Alireza Tamaddoni-Nezhad |
| 2008 | ILP | A Note on Refinement Operators for IE-Based ILP Systems. | Alireza Tamaddoni-Nezhad, Stephen H. Muggleton |
| 2006 | ILP | QG/GA: A Stochastic Search for Progol. | Stephen H. Muggleton, Alireza Tamaddoni-Nezhad |
| 2005 | ICMLA | Abduction and induction for learning models of inhibition in metabolic networks. | Alireza Tamaddoni-Nezhad, Raphael Chaleil, Antonis C. Kakas, Stephen H. Muggleton |
| 2004 | ILP | Modelling Inhibition in Metabolic Pathways Through Abduction and Induction. | Alireza Tamaddoni-Nezhad, Antonis C. Kakas, Stephen H. Muggleton, Florencio Pazos |
| 2003 | ILP | Induction of Enzyme Classes from Biological Databases. | Stephen H. Muggleton, Alireza Tamaddoni-Nezhad, Hiroaki Watanabe |
| 2002 | ILP | A Genetic Algorithms Approach to ILP. | Alireza Tamaddoni-Nezhad, Stephen H. Muggleton |
| 2000 | ILP | Searching the Subsumption Lattice by a Genetic Algorithm. | Alireza Tamaddoni-Nezhad, Stephen H. Muggleton |