Alireza Tamaddoni-Nezhad

Dikutip oleh

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14 artikel

2 artikel

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Stephen MuggletonImperial College LondonEmail yang diverifikasi di imperial.ac.uk
Alan RaybouldInnogen Institute, University of EdinburghEmail yang diverifikasi di ed.ac.uk
Dianhuan LinZscalerEmail yang diverifikasi di zscaler.com
Dr. Corinne VACHERResearcher in Ecology, INRAE, FranceEmail yang diverifikasi di inrae.fr
Antonis KakasUniversity of CyprusEmail yang diverifikasi di ucy.ac.cy
Guy WoodwardProfessor of Ecology, Department of Life Sciences, Imperial College LondonEmail yang diverifikasi di imperial.ac.uk
Tarek R. BesoldSony AIEmail yang diverifikasi di sony.com
Ute SchmidProfessor of Cognitive Systems, University of BambergEmail yang diverifikasi di uni-bamberg.de
Raphael ChaleilComputational Protein Engineer, Basecamp ResearchEmail yang diverifikasi di basecamp-research.com
Darren M. EvansProfessor of Ecology and Conservation, Newcastle UniversityEmail yang diverifikasi di ncl.ac.uk
Michael PocockNERC Centre for Ecology & HydrologyEmail yang diverifikasi di ceh.ac.uk
Wang-Zhou Dai (戴望州)Nanjing University, Suzhou CampusEmail yang diverifikasi di nju.edu.cn
Zhi-Hua ZhouNanjing UniversityEmail yang diverifikasi di nju.edu.cn
M SternbergImperial College LondonEmail yang diverifikasi di imperial.ac.uk
Alex J. DumbrellLecturer in Environmental Microbiology and Bioinformatics, University of EssexEmail yang diverifikasi di essex.ac.uk
Christian MulderUniversity of CataniaEmail yang diverifikasi di unict.it
François MassolIEES CNRS ParisEmail yang diverifikasi di cnrs.fr
Brendan WrenProfessor of Pathogen Molecular BiologyEmail yang diverifikasi di lshtm.ac.uk
Claude SammutProfessor of Computer Science and Engineering, University of New South WalesEmail yang diverifikasi di cse.unsw.edu.au
Andrew CropperUniversity of OxfordEmail yang diverifikasi di cs.ox.ac.uk

Ikuti

Alireza Tamaddoni-Nezhad

Reader (Associate Professor), University of Surrey

Email yang diverifikasi di surrey.ac.uk - Beranda

Relational Learning Inductive Logic Programming Machine Learning Automation of Science Sustainable AI


Judul Urutkan menurut kutipan Urutkan menurut tahun Urutkan menurut judul	Dikutip oleh Dikutip oleh	Tahun
Inductive logic programming S Muggleton, R Otero, A Tamaddoni-Nezhad Academic Press, 2006	1004*	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	290	2015
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	211	2017
Meta-interpretive learning: application to grammatical inference SH Muggleton, D Lin, N Pahlavi, A Tamaddoni-Nezhad Machine learning 94, 25-49, 2014	172	2014
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	138	2018
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	129	2016
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	117	2013
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	114	2006
Networking our way to better ecosystem service provision Quintessence Consortium Trends in Ecology & Evolution 31 (2), 105-115, 2016	105	2016
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	97	2020
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	95	2011
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	85	2016
Progolem: A system based on relative minimal generalisation S Muggleton, J Santos, A Tamaddoni-Nezhad International Conference on Inductive Logic Programming, 131-148, 2009	68	2009
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	65	2013
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	55	2017
TopLog: ILP using a logic program declarative bias SH Muggleton, JCA Santos, A Tamaddoni-Nezhad International Conference on Logic Programming, 687-692, 2008	51	2008
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	44	2009
QG/GA: a stochastic search for Progol S Muggleton, A Tamaddoni-Nezhad Machine Learning 70, 121-133, 2008	41	2008
Meta-interpretive learning from noisy images S Muggleton, WZ Dai, C Sammut, A Tamaddoni-Nezhad, J Wen, ZH Zhou Machine Learning 107, 1097-1118, 2018	40	2018
Ecological networks reveal resilience of agro-ecosystems to changes in farming management A Ma, X Lu, C Gray, A Raybould, A Tamaddoni-Nezhad, G Woodward, ... Nature Ecology & Evolution 3 (2), 260-264, 2019	37	2019

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