Alireza Tamaddoni-Nezhad
Заглавие
Позовавания
Позовавания
Година
Inductive logic programming
S Muggleton, R Otero, A Tamaddoni-Nezhad
Academic Press, 2006
923*2006
Meta-interpretive learning of higher-order dyadic datalog: Predicate invention revisited
SH Muggleton, D Lin, A Tamaddoni-Nezhad
Machine Learning 100 (1), 49-73, 2015
1692015
Meta-interpretive learning: application to grammatical inference
SH Muggleton, D Lin, N Pahlavi, A Tamaddoni-Nezhad
Machine learning 94 (1), 25-49, 2014
1052014
Application of abductive ILP to learning metabolic network inhibition from temporal data
A Tamaddoni-Nezhad, R Chaleil, A Kakas, S Muggleton
Machine Learning 64 (1-3), 209-230, 2006
992006
Next-generation global biomonitoring: large-scale, automated reconstruction of ecological networks
DA Bohan, C Vacher, A Tamaddoni-Nezhad, A Raybould, AJ Dumbrell, ...
Trends in Ecology & Evolution 32 (7), 477-487, 2017
752017
Networking agroecology: integrating the diversity of agroecosystem interactions
DA Bohan, A Raybould, C Mulder, G Woodward, A Tamaddoni-Nezhad, ...
Advances in Ecological Research 49, 1-67, 2013
732013
Automated discovery of food webs from ecological data using logic-based machine learning
DA Bohan, G Caron-Lormier, S Muggleton, A Raybould, ...
PLoS One 6 (12), e29028, 2011
612011
Learning ecological networks from next-generation sequencing data
C Vacher, A Tamaddoni-Nezhad, S Kamenova, N Peyrard, Y Moalic, ...
Advances in Ecological Research 54, 1-39, 2016
562016
ProGolem: a system based on relative minimal generalisation
S Muggleton, J Santos, A Tamaddoni-Nezhad
International Conference on Inductive Logic Programming, 131-148, 2009
532009
Ultra-Strong Machine Learning: comprehensibility of programs learned with ILP
SH Muggleton, U Schmid, C Zeller, A Tamaddoni-Nezhad, T Besold
Machine Learning 107 (7), 1119-1140, 2018
462018
Construction and validation of food webs using logic-based machine learning and text mining
A Tamaddoni-Nezhad, GA Milani, A Raybould, S Muggleton, DA Bohan
Advances in Ecological Research 49, 225-289, 2013
462013
TopLog: ILP using a logic program declarative bias
SH Muggleton, JCA Santos, A Tamaddoni-Nezhad
International Conference on Logic Programming, 687-692, 2008
442008
QG/GA: a stochastic search for Progol
S Muggleton, A Tamaddoni-Nezhad
Machine Learning 70 (2-3), 121-133, 2008
362008
Searching the subsumption lattice by a genetic algorithm
A Tamaddoni-Nezhad, SH Muggleton
International Conference on Inductive Logic Programming, 243-252, 2000
352000
The visualisation of ecological networks, and their use as a tool for engagement, advocacy and management
MJO Pocock, DM Evans, C Fontaine, M Harvey, R Julliard, Ó McLaughlin, ...
Advances in Ecological Research 54, 41-85, 2016
342016
How does predicate invention affect human comprehensibility?
U Schmid, C Zeller, T Besold, A Tamaddoni-Nezhad, S Muggleton
International Conference on Inductive Logic Programming, 52-67, 2016
322016
A genetic algorithms approach to ILP
A Tamaddoni-Nezhad, S Muggleton
International Conference on Inductive Logic Programming, 285-300, 2002
312002
The lattice structure and refinement operators for the hypothesis space bounded by a bottom clause
A Tamaddoni-Nezhad, S Muggleton
Machine learning 76 (1), 37-72, 2009
302009
Modelling inhibition in metabolic pathways through abduction and induction
A Tamaddoni-Nezhad, A Kakas, S Muggleton, F Pazos
International Conference on Inductive Logic Programming, 305-322, 2004
272004
Gene function hypotheses for the Campylobacter jejuni glycome generated by a logic-based approach
MJE Sternberg, A Tamaddoni-Nezhad, VI Lesk, E Kay, PG Hitchen, ...
Journal of Molecular Biology, 2013
212013
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Статии 1–20