Kourosh Neshatian

Publication Activity (10 Years)

Years Active: 2007-2023
Publications (10 Years): 21

Top Topics

Support Vector Machine

Feature Subset Selection

Top Venues

Australasian Conference on Artificial Intelligence

Publications

Gareth Harcombe, Richard Green, Kourosh Neshatian
Identifying Athletics Tracks using Keypoint Detection. IVCNZ (2023)
Negar Mohammadhassan, Antonija Mitrovic, Kourosh Neshatian
Investigating the effect of nudges for improving comment quality in active video watching. Comput. Educ. 176 (2022)
Adam Tupper, Kourosh Neshatian
Evaluating Learned State Representations for Atari. IVCNZ (2020)
Adam Tupper, Kourosh Neshatian
Evolving neural network agents to play atari games with compact state representations. GECCO Companion (2020)
Geela Venise Firmalo Fabic, Antonija Mitrovic, Kourosh Neshatian
Evaluation of Parsons Problems with Menu-Based Self-Explanation Prompts in a Mobile Python Tutor. Int. J. Artif. Intell. Educ. 29 (4) (2019)
Kourosh Neshatian, Lucianne Varn
Feature Bundles and their Effect on the Performance of Tree-based Evolutionary Classification and Feature Selection Algorithms. CEC (2019)
Shinichi Yamada, Kourosh Neshatian
Comparison of Embedded and Wrapper Approaches for Feature Selection in Support Vector Machines. PRICAI (2) (2019)
Shinichi Yamada, Kourosh Neshatian
Improving Representation in Benchmarking of Binary PSO Algorithms. Australasian Conference on Artificial Intelligence (2018)
Geela Venise Firmalo Fabic, Antonija Mitrovic, Kourosh Neshatian
Adaptive Problem Selection in a Mobile Python Tutor. UMAP (Adjunct Publication) (2018)
Tieta Putri, Ramakrishnan Mukundan, Kourosh Neshatian
Circular Filtering and Neutrosophic Extraction of Vincent Van Gogh's Visible Brushstrokes. IVCNZ (2018)
Geela Venise Firmalo Fabic, Antonija Mitrovic, Kourosh Neshatian
Investigating the effects of learning activities in a mobile Python tutor for targeting multiple coding skills. Res. Pract. Technol. Enhanc. Learn. 13 (1) (2018)
Tieta Putri, Ramakrishnan Mukundan, Kourosh Neshatian
Artistic Style Characterization of Vincent Van Gogh s Paintings using Extracted Features from Visible Brush Strokes. ICPRAM (2017)
Aaron Stockdill, Kourosh Neshatian
Simulating neuromorphic reservoir computing: Abstract feed-forward hardware models. IVCNZ (2017)
Geela Venise Firmalo Fabic, Antonija Mitrovic, Kourosh Neshatian
Investigating the Effectiveness of Menu-Based Self-explanation Prompts in a Mobile Python Tutor. AIED (2017)
Shinichi Yamada, Kourosh Neshatian
Kernel Construction and Feature Subset Selection in Support Vector Machines. SEAL (2017)
Kourosh Neshatian, Lucianne Varn
On the existence of feature bundles and their effect on symbolic regression algorithms. SSCI (2017)
Shinichi Yamada, Kourosh Neshatian
Multiple Kernel Learning with One-Level Optimization of Radius and Margin. Australasian Conference on Artificial Intelligence (2017)
Geela Venise Firmalo Fabic, Antonija Mitrovic, Kourosh Neshatian
Learning with Engaging Activities via a Mobile Python Tutor. AIED (2017)
Shinichi Yamada, Kourosh Neshatian
Hyper-parameter search in support vector machines using PSO with cellular fitness approximation. SSCI (2017)
Tieta Putri, Ramakrishnan Mukundan, Kourosh Neshatian
Artistic style characterization and brush stroke modelling for non-photorealistic rendering. IVCNZ (2017)
Aaron Stockdill, Kourosh Neshatian
Restricted Echo State Networks. Australasian Conference on Artificial Intelligence (2016)
Shinichi Yamada, Kourosh Neshatian, Raazesh Sainudiin
Optimal Hyper-Parameter Search in Support Vector Machines Using Bézier Surfaces. Australasian Conference on Artificial Intelligence (2015)
Amir Shareghi Najar, Antonija Mitrovic, Kourosh Neshatian
Eye Tracking and Studying Examples: How Novices and Advanced Learners Study SQL Examples. J. Comput. Inf. Technol. 23 (2) (2015)
Thomas J. Young, Kourosh Neshatian
The Effect of Reactant and Product Selection Strategies on Cycle Evolution in an Artificial Chemistry. ACALCI (2015)
Amir Shareghi Najar, Antonija Mitrovic, Kourosh Neshatian
Using Eye Tracking to Identify Learner Differences in Example Processing. AIED (2015)
Myse Elmadani, Antonija Mitrovic, Amali Weerasinghe, Kourosh Neshatian
Investigating student interactions with tutorial dialogues in EER-Tutor. Res. Pract. Technol. Enhanc. Learn. 10 (1) (2015)
Mohammed Algarni, Brent Martin, Tim Bell, Kourosh Neshatian
Simple Arabic Stemmer. CIKM (2014)
Cain Cresswell-Miley, Kourosh Neshatian
A Stepwise Multi-centroid Classification Learning Algorithm with GPU Implementation. SEAL (2014)
Amir Shareghi Najar, Antonija Mitrovic, Kourosh Neshatian
Utilizing Eye Tracking to Improve Learning from Examples. HCI (5) (2014)
Thomas J. Young, Kourosh Neshatian
A Constructive Artificial Chemistry to Explore Open-Ended Evolution. Australasian Conference on Artificial Intelligence (2013)
Kourosh Neshatian, Lucianne Varn
On the Optimality of Subsets of Features Selected by Heuristic and Hyper-heuristic Approaches. PAKDD Workshops (2013)
Jill de Jong, Kourosh Neshatian
Binary Classification Using Genetic Programming: Evolving Discriminant Functions with Dynamic Thresholds. PAKDD Workshops (2013)
Kourosh Neshatian, Mengjie Zhang
Improving Relevance Measures Using Genetic Programming. EuroGP (2012)
Rachel Hunt, Kourosh Neshatian, Mengjie Zhang
A Genetic Programming Approach to Hyper-Heuristic Feature Selection. SEAL (2012)
Rachel Hunt, Kourosh Neshatian, Mengjie Zhang
Scalability analysis of genetic programming classifiers. IEEE Congress on Evolutionary Computation (2012)
Kourosh Neshatian, Mengjie Zhang, Peter Andreae
A Filter Approach to Multiple Feature Construction for Symbolic Learning Classifiers Using Genetic Programming. IEEE Trans. Evol. Comput. 16 (5) (2012)
Harith Al-Sahaf, Andy Song, Kourosh Neshatian, Mengjie Zhang
Extracting image features for classification by two-tier genetic programming. IEEE Congress on Evolutionary Computation (2012)
Fahmi Abdulhamid, Andy Song, Kourosh Neshatian, Mengjie Zhang
Evolving Genetic Programming classifiers with loop structures. IEEE Congress on Evolutionary Computation (2012)
Harith Al-Sahaf, Andy Song, Kourosh Neshatian, Mengjie Zhang
Two-Tier genetic programming: towards raw pixel-based image classification. Expert Syst. Appl. 39 (16) (2012)
Fahmi Abdulhamid, Kourosh Neshatian, Mengjie Zhang
Genetic programming for evolving programs with loop structures for classification tasks. ICARA (2011)
Harith Al-Sahaf, Kourosh Neshatian, Mengjie Zhang
Automatic feature extraction and image classification using genetic programming. ICARA (2011)
Kourosh Neshatian, Mengjie Zhang
Using genetic programming for context-sensitive feature scoring in classification problems. Connect. Sci. 23 (3) (2011)
Daniel L. Atkins, Kourosh Neshatian, Mengjie Zhang
A domain independent Genetic Programming approach to automatic feature extraction for image classification. IEEE Congress on Evolutionary Computation (2011)
Anna Friedlander, Kourosh Neshatian, Mengjie Zhang
Meta-learning and feature ranking using genetic programming for classification: Variable terminal weighting. IEEE Congress on Evolutionary Computation (2011)
Kourosh Neshatian, Mengjie Zhang
Pareto front feature selection: using genetic programming to explore feature space. GECCO (2009)
Kourosh Neshatian, Mengjie Zhang
Unsupervised Elimination of Redundant Features Using Genetic Programming. Australasian Conference on Artificial Intelligence (2009)
Kourosh Neshatian, Mengjie Zhang
Genetic Programming for Feature Subset Ranking in Binary Classification Problems. EuroGP (2009)
Kourosh Neshatian, Mengjie Zhang, Peter Andreae
Genetic Programming for Feature Ranking in Classification Problems. SEAL (2008)
Kourosh Neshatian, Mengjie Zhang
Genetic Programming and Class-Wise Orthogonal Transformation for Dimension Reduction in Classification Problems. EuroGP (2008)
Kourosh Neshatian, Mengjie Zhang
Genetic programming for performance improvement and dimensionality reduction of classification problems. IEEE Congress on Evolutionary Computation (2008)
Maryam Tayefeh Mahmoudi, Kambiz Badie, Kourosh Neshatian
An Ontological Model for Knowledge Management through Concept Composition. ICDS (2007)
Kourosh Neshatian, Mengjie Zhang, Mark Johnston
Feature Construction and Dimension Reduction Using Genetic Programming. Australian Conference on Artificial Intelligence (2007)