Alireza Tamaddoni-Nezhad

Ghazal Afroozi Milani, David Bohan, Stuart J. Dunbar, Stephen Muggleton, Alan Raybould, Alireza Tamaddoni-Nezhad: Machine Learning and Text Mining of Trophic Links. ICMLA (2) 2012: 410-415

Stephen H. Muggleton, Dianhuan Lin, Alireza Tamaddoni-Nezhad: MC-TopLog: Complete Multi-clause Learning Guided by a Top Theory. ILP 2012: 238-254

Alireza Tamaddoni-Nezhad, David Bohan, Alan Raybould, Stephen H. Muggleton: Machine Learning a Probabilistic Network of Ecological Interactions. ILP 2012: 332-346

Stephen Muggleton, Alireza Tamaddoni-Nezhad, Francesca A. Lisi (Eds.): 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

Alireza Tamaddoni-Nezhad, Stephen Muggleton: Stochastic Refinement. ILP 2010: 222-237

Alireza Tamaddoni-Nezhad, Stephen Muggleton: The lattice structure and refinement operators for the hypothesis space bounded by a bottom clause. Machine Learning 76(1): 37-72 (2009)

José Carlos Almeida Santos, Alireza Tamaddoni-Nezhad, Stephen Muggleton: An ILP System for Learning Head Output Connected Predicates. EPIA 2009: 150-159

Stephen Muggleton, José Carlos Almeida Santos, Alireza Tamaddoni-Nezhad: ProGolem: A System Based on Relative Minimal Generalisation. ILP 2009: 131-148

Stephen Muggleton, Alireza Tamaddoni-Nezhad: QG/GA: a stochastic search for Progol. Machine Learning 70(2-3): 121-133 (2008)

Stephen Muggleton, José Carlos Almeida Santos, Alireza Tamaddoni-Nezhad: TopLog: ILP Using a Logic Program Declarative Bias. ICLP 2008: 687-692

Alireza Tamaddoni-Nezhad, Stephen Muggleton: A Note on Refinement Operators for IE-Based ILP Systems. ILP 2008: 297-314

Stephen Muggleton, Ramón P. Otero, Alireza Tamaddoni-Nezhad (Eds.): 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

Alireza Tamaddoni-Nezhad, Raphael Chaleil, Antonis C. Kakas, Stephen Muggleton: Application of abductive ILP to learning metabolic network inhibition from temporal data. Machine Learning 64(1-3): 209-230 (2006)

Stephen Muggleton, Alireza Tamaddoni-Nezhad: QG/GA: A Stochastic Search for Progol. ILP 2006: 37-39

Ghazal Afroozi Milani, Koorush Ziarati, Alireza Tamaddoni-Nezhad: Virtual characteristics measurement using factor analysis. ICETE 2005: 102-108

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

Alireza Tamaddoni-Nezhad, Antonis C. Kakas, Stephen Muggleton, Florencio Pazos: Modelling Inhibition in Metabolic Pathways Through Abduction and Induction. ILP 2004: 305-322

Stephen Muggleton, Alireza Tamaddoni-Nezhad, Hiroaki Watanabe: Induction of Enzyme Classes from Biological Databases. ILP 2003: 269-280

Alireza Tamaddoni-Nezhad, Stephen Muggleton: A Genetic Algorithms Approach to ILP. ILP 2002: 285-300

Alireza Tamaddoni-Nezhad, Stephen Muggleton: Searching the Subsumption Lattice by a Genetic Algorithm. ILP 2000: 243-252