Seuraa
Alireza Tamaddoni-Nezhad
Alireza Tamaddoni-Nezhad
Reader (Associate Professor), University of Surrey
Vahvistettu sähköpostiosoite verkkotunnuksessa surrey.ac.uk - Kotisivu
Nimike
Viittaukset
Viittaukset
Vuosi
Inductive logic programming
S Muggleton, R Otero, A Tamaddoni-Nezhad
Academic Press, 2006
981*2006
Meta-interpretive learning of higher-order dyadic datalog: Predicate invention revisited
SH Muggleton, D Lin, A Tamaddoni-Nezhad
Machine Learning 100, 49-73, 2015
2362015
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
1612017
Meta-interpretive learning: application to grammatical inference
SH Muggleton, D Lin, N Pahlavi, A Tamaddoni-Nezhad
Machine learning 94, 25-49, 2014
1462014
Application of abductive ILP to learning metabolic network inhibition from temporal data
A Tamaddoni-Nezhad, R Chaleil, A Kakas, S Muggleton
Machine Learning 64, 209-230, 2006
1132006
Ultra-strong machine learning: comprehensibility of programs learned with ILP
SH Muggleton, U Schmid, C Zeller, A Tamaddoni-Nezhad, T Besold
Machine Learning 107, 1119-1140, 2018
1082018
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
1052013
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
872016
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
812011
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
662016
ProGolem: A System Based on Relative Minimal Generalisation.
SH Muggleton, JCA Santos, A Tamaddoni-Nezhad
ILP 5989, 131-148, 2009
632009
Key questions for next-generation biomonitoring
A Makiola, ZG Compson, DJ Baird, MA Barnes, SP Boerlijst, A Bouchez, ...
Frontiers in Environmental Science 7, 197, 2020
592020
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
582013
TopLog: ILP using a logic program declarative bias
SH Muggleton, JCA Santos, A Tamaddoni-Nezhad
Logic Programming: 24th International Conference, ICLP 2008 Udine, Italy …, 2008
502008
How does predicate invention affect human comprehensibility?
U Schmid, C Zeller, T Besold, A Tamaddoni-Nezhad, S Muggleton
Inductive Logic Programming: 26th International Conference, ILP 2016, London …, 2017
492017
QG/GA: a stochastic search for Progol
S Muggleton, A Tamaddoni-Nezhad
Machine Learning 70, 121-133, 2008
412008
The lattice structure and refinement operators for the hypothesis space bounded by a bottom clause
A Tamaddoni-Nezhad, S Muggleton
Machine learning 76, 37-72, 2009
372009
Searching the subsumption lattice by a genetic algorithm
A Tamaddoni-Nezhad, SH Muggleton
Inductive Logic Programming: 10th International Conference, ILP 2000 London …, 2000
372000
A genetic algorithms approach to ILP
A Tamaddoni-Nezhad, S Muggleton
Inductive Logic Programming: 12th International Conference, ILP 2002 Sydney …, 2003
332003
Meta-interpretive learning of data transformation programs
A Cropper, A Tamaddoni-Nezhad, SH Muggleton
Inductive Logic Programming: 25th International Conference, ILP 2015, Kyoto …, 2016
312016
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Artikkelit 1–20