Feature Construction and Dimension Reduction Using Genetic Programming. - Kourosh Neshatian; Mengjie Zhang 001; Mark Johnston (Australian Conference on Artificial Intelligence, 2007)

An Ontological Model for Knowledge Management through Concept Composition. - Maryam Tayefeh Mahmoudi; Kambiz Badie; Kourosh Neshatian (ICDS, 2007)

Genetic programming for performance improvement and dimensionality reduction of classification problems. - Kourosh Neshatian; Mengjie Zhang 001 (IEEE Congress on Evolutionary Computation, 2008)

Genetic Programming and Class-Wise Orthogonal Transformation for Dimension Reduction in Classification Problems. - Kourosh Neshatian; Mengjie Zhang 001 (EuroGP, 2008)

Genetic Programming for Feature Ranking in Classification Problems. - Kourosh Neshatian; Mengjie Zhang 001; Peter Andreae (SEAL, 2008)

Unsupervised Elimination of Redundant Features Using Genetic Programming. - Kourosh Neshatian; Mengjie Zhang 001 (Australasian Conference on Artificial Intelligence, 2009)

Genetic Programming for Feature Subset Ranking in Binary Classification Problems. - Kourosh Neshatian; Mengjie Zhang 001 (EuroGP, 2009)

Pareto front feature selection: using genetic programming to explore feature space. - Kourosh Neshatian; Mengjie Zhang 001 (GECCO, 2009)

Feature Manipulation with Genetic Programming. - Kourosh Neshatian (2010)

A domain independent Genetic Programming approach to automatic feature extraction for image classification. - Daniel L. Atkins; Kourosh Neshatian; Mengjie Zhang 001 (IEEE Congress on Evolutionary Computation, 2011)

Meta-learning and feature ranking using genetic programming for classification: Variable terminal weighting. - Anna Friedlander; Kourosh Neshatian; Mengjie Zhang 001 (IEEE Congress on Evolutionary Computation, 2011)

Genetic programming for evolving programs with loop structures for classification tasks. - Fahmi Abdulhamid; Kourosh Neshatian; Mengjie Zhang 001 (ICARA, 2011)

Automatic feature extraction and image classification using genetic programming. - Harith Al-Sahaf; Kourosh Neshatian; Mengjie Zhang 001 (ICARA, 2011)

Using genetic programming for context-sensitive feature scoring in classification problems. - Kourosh Neshatian; Mengjie Zhang 001 (Connect. Sci., 2011)

Evolving Genetic Programming classifiers with loop structures. - Fahmi Abdulhamid; Andy Song; Kourosh Neshatian; Mengjie Zhang 001 (IEEE Congress on Evolutionary Computation, 2012)

Extracting image features for classification by two-tier genetic programming. - Harith Al-Sahaf; Andy Song; Kourosh Neshatian; Mengjie Zhang 001 (IEEE Congress on Evolutionary Computation, 2012)

Scalability analysis of genetic programming classifiers. - Rachel Hunt 001; Kourosh Neshatian; Mengjie Zhang 001 (IEEE Congress on Evolutionary Computation, 2012)

Improving Relevance Measures Using Genetic Programming. - Kourosh Neshatian; Mengjie Zhang 001 (EuroGP, 2012)

A Genetic Programming Approach to Hyper-Heuristic Feature Selection. - Rachel Hunt 001; Kourosh Neshatian; Mengjie Zhang 001 (SEAL, 2012)

Two-Tier genetic programming: towards raw pixel-based image classification. - Harith Al-Sahaf; Andy Song; Kourosh Neshatian; Mengjie Zhang 001 (Expert Syst. Appl., 2012)

A Filter Approach to Multiple Feature Construction for Symbolic Learning Classifiers Using Genetic Programming. - Kourosh Neshatian; Mengjie Zhang 001; Peter Andreae (IEEE Trans. Evol. Comput., 2012)

A Constructive Artificial Chemistry to Explore Open-Ended Evolution. - Thomas J. Young; Kourosh Neshatian (Australasian Conference on Artificial Intelligence, 2013)

Binary Classification Using Genetic Programming: Evolving Discriminant Functions with Dynamic Thresholds. - Jill de Jong; Kourosh Neshatian (PAKDD Workshops, 2013)

On the Optimality of Subsets of Features Selected by Heuristic and Hyper-heuristic Approaches. - Kourosh Neshatian; Lucianne Varn (PAKDD Workshops, 2013)

Simple Arabic Stemmer. - Mohammed Algarni; Brent Martin; Tim Bell 001; Kourosh Neshatian (CIKM, 2014)

Utilizing Eye Tracking to Improve Learning from Examples. - Amir Shareghi Najar; Antonija Mitrovic; Kourosh Neshatian (HCI (5), 2014)

A Stepwise Multi-centroid Classification Learning Algorithm with GPU Implementation. - Cain Cresswell-Miley; Kourosh Neshatian (SEAL, 2014)

The Effect of Reactant and Product Selection Strategies on Cycle Evolution in an Artificial Chemistry. - Thomas J. Young; Kourosh Neshatian (ACALCI, 2015)

Using Eye Tracking to Identify Learner Differences in Example Processing. - Amir Shareghi Najar; Antonija Mitrovic; Kourosh Neshatian (AIED, 2015)

Optimal Hyper-Parameter Search in Support Vector Machines Using Bézier Surfaces. - Shinichi Yamada; Kourosh Neshatian; Raazesh Sainudiin (Australasian Conference on Artificial Intelligence, 2015)

Predicting Quitting Behavior in SQL-Tutor. - Jin Kwang Hong; Antonija Mitrovic; Kourosh Neshatian (ICCE, 2015)

Identifying Learner Differences in Example Processing from Eye Gaze Data. - Amir Shareghi Najar; Antonija Mitrovic; Kourosh Neshatian (ICCE, 2015)

Eye Tracking and Studying Examples: How Novices and Advanced Learners Study SQL Examples. - Amir Shareghi Najar; Antonija Mitrovic; Kourosh Neshatian (J. Comput. Inf. Technol., 2015)

Investigating student interactions with tutorial dialogues in EER-Tutor. - Myse Elmadani; Antonija Mitrovic; Amali Weerasinghe; Kourosh Neshatian (Res. Pract. Technol. Enhanc. Learn., 2015)

Restricted Echo State Networks. - Aaron Stockdill; Kourosh Neshatian (Australasian Conference on Artificial Intelligence, 2016)

Investigating Strategies used by Novice and Expert Users to Solve Parsons Problems in a Mobile Python Tutor. - Geela Venise Firmalo Fabic; Antonija Mitrovic; Kourosh Neshatian (ICCE, 2016)

Investigating the Effectiveness of Menu-Based Self-explanation Prompts in a Mobile Python Tutor. - Geela Venise Firmalo Fabic; Antonija Mitrovic; Kourosh Neshatian (AIED, 2017)

Learning with Engaging Activities via a Mobile Python Tutor. - Geela Venise Firmalo Fabic; Antonija Mitrovic; Kourosh Neshatian (AIED, 2017)

Multiple Kernel Learning with One-Level Optimization of Radius and Margin. - Shinichi Yamada; Kourosh Neshatian (Australasian Conference on Artificial Intelligence, 2017)

A Comparison of Different Types of Learning Activities in a Mobile Python Tutor. - Geela Venise Firmalo Fabic; Antonija Mitrovic; Kourosh Neshatian (ICCE, 2017)

Artistic Style Characterization of Vincent Van Gogh s Paintings using Extracted Features from Visible Brush Strokes. - Tieta Putri; Ramakrishnan Mukundan; Kourosh Neshatian (ICPRAM, 2017)

Artistic style characterization and brush stroke modelling for non-photorealistic rendering. - Tieta Putri; Ramakrishnan Mukundan; Kourosh Neshatian (IVCNZ, 2017)

Simulating neuromorphic reservoir computing: Abstract feed-forward hardware models. - Aaron Stockdill; Kourosh Neshatian (IVCNZ, 2017)

Kernel Construction and Feature Subset Selection in Support Vector Machines. - Shinichi Yamada; Kourosh Neshatian (SEAL, 2017)

On the existence of feature bundles and their effect on symbolic regression algorithms. - Kourosh Neshatian; Lucianne Varn (SSCI, 2017)

Hyper-parameter search in support vector machines using PSO with cellular fitness approximation. - Shinichi Yamada; Kourosh Neshatian (SSCI, 2017)

Improving Representation in Benchmarking of Binary PSO Algorithms. - Shinichi Yamada; Kourosh Neshatian (Australasian Conference on Artificial Intelligence, 2018)

Supporting Novices and Advanced Students in Acquiring Multiple Coding Skills. - Geela Venise Firmalo Fabic; Antonija Mitrovic; Kourosh Neshatian (ICCE, 2018)

Circular Filtering and Neutrosophic Extraction of Vincent Van Gogh's Visible Brushstrokes. - Tieta Putri; Ramakrishnan Mukundan; Kourosh Neshatian (IVCNZ, 2018)

Adaptive Problem Selection in a Mobile Python Tutor. - Geela Venise Firmalo Fabic; Antonija Mitrovic; Kourosh Neshatian (UMAP (Adjunct Publication), 2018)

Investigating the effects of learning activities in a mobile Python tutor for targeting multiple coding skills. - Geela Venise Firmalo Fabic; Antonija Mitrovic; Kourosh Neshatian (Res. Pract. Technol. Enhanc. Learn., 2018)

Feature Bundles and their Effect on the Performance of Tree-based Evolutionary Classification and Feature Selection Algorithms. - Kourosh Neshatian; Lucianne Varn (CEC, 2019)

Comparison of Embedded and Wrapper Approaches for Feature Selection in Support Vector Machines. - Shinichi Yamada; Kourosh Neshatian (PRICAI (2), 2019)

Evaluation of Parsons Problems with Menu-Based Self-Explanation Prompts in a Mobile Python Tutor. - Geela Venise Firmalo Fabic; Antonija Mitrovic; Kourosh Neshatian (Int. J. Artif. Intell. Educ., 2019)

Evolving neural network agents to play atari games with compact state representations. - Adam Tupper; Kourosh Neshatian (GECCO Companion, 2020)

Automatic Assessment of Comment Quality in Active Video Watching. - Negar Mohammadhassan; Antonija Mitrovic; Kourosh Neshatian; Jonathan Dunn (ICCE, 2020)

Developing Personalized Nudges to Improve Quality of Comments in Active Video Watching. - Negar Mohammadhassan; Antonija Mitrovic; Kourosh Neshatian; Jonathan Dunn (ICCE, 2020)

Evaluating Learned State Representations for Atari. - Adam Tupper; Kourosh Neshatian (IVCNZ, 2020)

Investigating the effect of nudges for improving comment quality in active video watching. - Negar Mohammadhassan; Antonija Mitrovic; Kourosh Neshatian (Comput. Educ., 2022)

Identifying Athletics Tracks using Keypoint Detection. - Gareth Harcombe; Richard Green; Kourosh Neshatian (IVCNZ, 2023)