Alireza Tamaddoni-Nezhad

发表

Proceedings of the 21st international conference on Inductive Logic Programming

Stephen Muggleton, Francesca A. Lisi, Alireza Tamaddoni-Nezhad, 2011, ILP 2011.

Ultra-Strong Machine Learning: comprehensibility of programs learned with ILP

Stephen Muggleton, Ute Schmid, Alireza Tamaddoni-Nezhad, 2018, Machine Learning.

Gene Function Hypotheses for the Campylobacter jejuni Glycome Generated by a Logic-Based Approach

S. Muggleton, M. Sternberg, C. Rawlings, 2013, Journal of molecular biology.

Networking Our Way to Better Ecosystem Service Provision.

Xin Zhou, Stephen Muggleton, Shanlin Liu, 2016, Trends in ecology & evolution.

Modeling the effects of toxins in metabolic networks.

Stephen Muggleton, Alireza Tamaddoni-Nezhad, Raphael A. G. Chaleil, 2007, IEEE engineering in medicine and biology magazine : the quarterly magazine of the Engineering in Medicine & Biology Society.

Learning ecological networks from next-generation sequencing data

Alireza Tamaddoni-Nezhad, Nathalie Peyrard, Régis Sabbadin, 2016 .

ConstructionandValidationofFood Webs Using Logic-Based Machine Learning and Text Mining

Ghazal Afroozi Milani, S. Muggleton, Alireza Tamaddoni-Nezhad, 2013 .

Ecological networks reveal resilience of agro-ecosystems to changes in farming management

David A. Bohan, Clare Gray, Xueke Lu, 2018, Nature Ecology & Evolution.

Edinburgh Research Explorer Next-Generation Global Biomonitoring

David A. Bohan, G. Woodward, Alireza Tamaddoni-Nezhad, 2017 .

Chapter Four – Construction and Validation of Food Webs Using Logic-Based Machine Learning and Text Mining

Stephen Muggleton, Alireza Tamaddoni-Nezhad, Alan Raybould, 2013 .

Machine Learning of Biological Networks Using Abductive ILP

Stephen Muggleton, Alireza Tamaddoni-Nezhad, Hiroaki Watanabe, 2014 .

Automated Discovery of Food Webs from Ecological Data Using Logic-Based Machine Learning

Stephen Muggleton, Alireza Tamaddoni-Nezhad, David A. Bohan, 2011, PloS one.

Application of abductive ILP to learning metabolic network inhibition from temporal data

Stephen Muggleton, Antonis C. Kakas, Alireza Tamaddoni-Nezhad, 2006, Machine Learning.

Key Questions for Next-Generation Biomonitoring

Dominique Gravel, Alireza Tamaddoni-Nezhad, John Murphy, 2020, Frontiers in Environmental Science.

Models of Inhibition in Biological Networks

Stephen Muggleton, Antonis C. Kakas, Alireza Tamaddoni-Nezhad, 2007 .

The visualisation of ecological networks, and their use as a tool for engagement, advocacy and management

Alireza Tamaddoni-Nezhad, Romain Julliard, Michael J. O. Pocock, 2016 .

The lattice structure and refinement operators for the hypothesis space bounded by a bottom clause

Stephen Muggleton, Alireza Tamaddoni-Nezhad, S. Muggleton, 2009, Machine Learning.

ProGolem: A System Based on Relative Minimal Generalisation

Stephen Muggleton, Alireza Tamaddoni-Nezhad, Jose Santos, 2009, ILP.

Provided for Non-commercial Research and Educational Use Only. Not for Reproduction, Distribution or Commercial Use. Networking Agroecology: Integrating the Diversity of Agroecosystem Interactions

Stephen Muggleton, Alireza Tamaddoni-Nezhad, Nicolas Loeuille, 2022 .

Next-Generation Global Biomonitoring: Large-scale, Automated Reconstruction of Ecological Networks.

Alireza Tamaddoni-Nezhad, Alan Raybould, Guy Woodward, 2017, Trends in ecology & evolution.

How Does Predicate Invention Affect Human Comprehensibility?

Stephen Muggleton, Ute Schmid, Alireza Tamaddoni-Nezhad, 2016, ILP.

A Genetic Algorithms Approach to ILP

Stephen Muggleton, Alireza Tamaddoni-Nezhad, S. Muggleton, 2002, ILP.

Using Genetic Algorithms for learning clauses in first-order logic

Stephen Muggleton, Alireza Tamaddoni-Nezhad, S. Muggleton, 2001 .

Searching the Subsumption Lattice by a Genetic Algorithm

Stephen Muggleton, Alireza Tamaddoni-Nezhad, S. Muggleton, 2000, ILP.

Meta-interpretive learning: application to grammatical inference

Stephen Muggleton, Alireza Tamaddoni-Nezhad, Dianhuan Lin, 2013, Machine Learning.

One-Shot Rule Learning for Challenging Character Recognition

Alireza Tamaddoni-Nezhad, Dany Varghese, Alireza Tamaddoni-Nezhad, 2020, RuleML+RR.

Logic-based machine learning using a bounded hypothesis space : the lattice structure, refinement operators and a genetic algorithm approach

Alireza Tamaddoni-Nezhad, Alireza Tamaddoni-Nezhad, 2013 .

Meta-Interpretive Learning of Data Transformation Programs

Stephen Muggleton, Andrew Cropper, Alireza Tamaddoni-Nezhad, 2015, ILP.

Meta-Interpretive Learning from noisy images

S. Muggleton, Zhi-Hua Zhou, C. Sammut, 2018, Machine Learning.

Logical Vision: One-Shot Meta-Interpretive Learning from Real Images

Zhi-Hua Zhou, Stephen Muggleton, Alireza Tamaddoni-Nezhad, 2017, ILP.

Human-Like Rule Learning from Images Using One-Shot Hypothesis Derivation

S. Muggleton, Alireza Tamaddoni-Nezhad, R. Bauer, 2021, ILP.

MetaBayes: Bayesian Meta-Interpretative Learning Using Higher-Order Stochastic Refinement

Stephen Muggleton, Alireza Tamaddoni-Nezhad, Jianzhong Chen, 2013, ILP.

Modelling Inhibition in Metabolic Pathways Through Abduction and Induction

Stephen Muggleton, Antonis C. Kakas, Alireza Tamaddoni-Nezhad, 2004, ILP.

Induction of Enzyme Classes from Biological Databases

Stephen Muggleton, Alireza Tamaddoni-Nezhad, Hiroaki Watanabe, 2003, ILP.

Inductive Logic Programming - 21st International Conference, ILP 2011, Windsor Great Park, UK, July 31 - August 3, 2011, Revised Selected Papers

Stephen Muggleton, Francesca A. Lisi, Alireza Tamaddoni-Nezhad, 2012, ILP.

Towards Machine Learning of Predictive Models from Ecological Data

Stephen Muggleton, Alireza Tamaddoni-Nezhad, David Bohan, 2014, ILP.

A Logic-based Compositional Generalisation Approach for Robust Traffic Sign Detection

Alireza Tamaddoni-Nezhad, Saber Fallah, Z. Chaghazardi, 2023 .

Systems analysis of bacterial glycomes.

S. Muggleton, M. Sternberg, Alireza Tamaddoni-Nezhad, 2010, Biochemical Society transactions.

Machine Learning of Microbial Interactions Using Abductive ILP and Hypothesis Frequency/Compression Estimation

S. Muggleton, Alireza Tamaddoni-Nezhad, D. Bohan, 2021, ILP.

Machine Learning a Probabilistic Network of Ecological Interactions

Stephen Muggleton, Alireza Tamaddoni-Nezhad, David Bohan, 2011, ILP.

Stochastic Refinement

Stephen Muggleton, Alireza Tamaddoni-Nezhad, S. Muggleton, 2010, ILP.

QG/GA: a stochastic search for Progol

Stephen Muggleton, Alireza Tamaddoni-Nezhad, S. Muggleton, 2008, Machine Learning.

Networking Our Way to Better Ecosystem Service Provision.

Michael J. O. Pocock, David A. Bohan, Richard J. Gill, 2016, Trends in ecology & evolution.

Edinburgh Research Explorer Next-Generation Global Biomonitoring

Alireza Tamaddoni-Nezhad, A. Dumbrell, Corinne Vacher, 2017 .