Kourosh Neshatian

发表

Circular Filtering and Neutrosophic Extraction of Vincent Van Gogh's Visible Brushstrokes

Ramakrishnan Mukundan, Tieta Putri, Kourosh Neshatian, 2018, 2018 International Conference on Image and Vision Computing New Zealand (IVCNZ).

Utilizing Eye Tracking to Improve Learning from Examples

Antonija Mitrovic, Kourosh Neshatian, Amir Shareghi Najar, 2014, HCI.

Investigating the effects of learning activities in a mobile Python tutor for targeting multiple coding skills

Antonija Mitrovic, Kourosh Neshatian, Geela Venise Firmalo Fabic, 2018, Res. Pract. Technol. Enhanc. Learn..

Evaluation of Parsons Problems with Menu-Based Self-Explanation Prompts in a Mobile Python Tutor

Antonija Mitrovic, Kourosh Neshatian, Geela Venise Firmalo Fabic, 2019, International Journal of Artificial Intelligence in Education.

Genetic programming for evolving programs with loop structures for classification tasks

Mengjie Zhang, Kourosh Neshatian, Fahmi Abdulhamid, 2011, The 5th International Conference on Automation, Robotics and Applications.

A Stepwise Multi-centroid Classification Learning Algorithm with GPU Implementation

Kourosh Neshatian, Cain Cresswell-Miley, 2014, SEAL.

Genetic Programming and Class-Wise Orthogonal Transformation for Dimension Reduction in Classification Problems

Mengjie Zhang, Kourosh Neshatian, Mengjie Zhang, 2008, EuroGP.

Improving Relevance Measures Using Genetic Programming

Mengjie Zhang, Kourosh Neshatian, Mengjie Zhang, 2012, EuroGP.

The Effect of Reactant and Product Selection Strategies on Cycle Evolution in an Artificial Chemistry

Kourosh Neshatian, Thomas J. Young, 2015, ACALCI.

An Ontological Model for Knowledge Management through Concept Composition

Kourosh Neshatian, Kambiz Badie, Maryam Tayefeh Mahmoudi, 2007, First International Conference on the Digital Society (ICDS'07).

Feature Manipulation with Genetic Programming

Kourosh Neshatian, K. Neshatian, 2010 .

Automatic feature extraction and image classification using genetic programming

Mengjie Zhang, Harith Al-Sahaf, Kourosh Neshatian, 2011, The 5th International Conference on Automation, Robotics and Applications.

Investigating the Effectiveness of Menu-Based Self-explanation Prompts in a Mobile Python Tutor

Antonija Mitrovic, Kourosh Neshatian, Geela Venise Firmalo Fabic, 2017, AIED.

Binary Classification Using Genetic Programming: Evolving Discriminant Functions with Dynamic Thresholds

Kourosh Neshatian, Jill de Jong, 2013, PAKDD Workshops.

Learning with Engaging Activities via a Mobile Python Tutor

Antonija Mitrovic, Kourosh Neshatian, Geela Venise Firmalo Fabic, 2017, AIED.

Extracting image features for classification by two-tier genetic programming

Mengjie Zhang, Harith Al-Sahaf, Kourosh Neshatian, 2012, 2012 IEEE Congress on Evolutionary Computation.

Two-Tier genetic programming: towards raw pixel-based image classification

Mengjie Zhang, Harith Al-Sahaf, Kourosh Neshatian, 2012, Expert Syst. Appl..

Optimal Hyper-Parameter Search in Support Vector Machines Using Bézier Surfaces

Kourosh Neshatian, Shinichi Yamada, Raazesh Sainudiin, 2015, Australasian Conference on Artificial Intelligence.

A Filter Approach to Multiple Feature Construction for Symbolic Learning Classifiers Using Genetic Programming

Mengjie Zhang, Kourosh Neshatian, Peter Andreae, 2012, IEEE Transactions on Evolutionary Computation.

On the existence of feature bundles and their effect on symbolic regression algorithms

Kourosh Neshatian, Lucianne Varn, K. Neshatian, 2017, 2017 IEEE Symposium Series on Computational Intelligence (SSCI).

Artistic style characterization and brush stroke modelling for non-photorealistic rendering

Ramakrishnan Mukundan, Tieta Putri, Kourosh Neshatian, 2017, 2017 International Conference on Image and Vision Computing New Zealand (IVCNZ).

Using genetic programming for context-sensitive feature scoring in classification problems

Mengjie Zhang, Kourosh Neshatian, Mengjie Zhang, 2011, Connect. Sci..

A Constructive Artificial Chemistry to Explore Open-Ended Evolution

Kourosh Neshatian, Thomas J. Young, 2013, Australasian Conference on Artificial Intelligence.

Evaluating Learned State Representations for Atari

Kourosh Neshatian, Adam Tupper, K. Neshatian, 2020, 2020 35th International Conference on Image and Vision Computing New Zealand (IVCNZ).

Meta-learning and feature ranking using genetic programming for classification: Variable terminal weighting

Mengjie Zhang, Kourosh Neshatian, Anna Friedlander, 2011, 2011 IEEE Congress of Evolutionary Computation (CEC).

Using Eye Tracking to Identify Learner Differences in Example Processing

Antonija Mitrovic, Kourosh Neshatian, Amir Shareghi Najar, 2015, AIED.

On the Optimality of Subsets of Features Selected by Heuristic and Hyper-heuristic Approaches

Kourosh Neshatian, Lucianne Varn, K. Neshatian, 2013, PAKDD Workshops.

Kernel Construction and Feature Subset Selection in Support Vector Machines

Kourosh Neshatian, Shinichi Yamada, K. Neshatian, 2017, SEAL.

Genetic Programming for Feature Subset Ranking in Binary Classification Problems

Mengjie Zhang, Kourosh Neshatian, Mengjie Zhang, 2009, EuroGP.

Dimensionality reduction in face detection: A genetic programming approach

Mengjie Zhang, Kourosh Neshatian, Mengjie Zhang, 2009, 2009 24th International Conference Image and Vision Computing New Zealand.

Unsupervised Elimination of Redundant Features Using Genetic Programming

Mengjie Zhang, Kourosh Neshatian, Mengjie Zhang, 2009, Australasian Conference on Artificial Intelligence.

A Genetic Programming Approach to Hyper-Heuristic Feature Selection

Mengjie Zhang, Kourosh Neshatian, Rachel Hunt, 2012, SEAL.

Simulating neuromorphic reservoir computing: Abstract feed-forward hardware models

Kourosh Neshatian, Aaron Stockdill, 2017, 2017 International Conference on Image and Vision Computing New Zealand (IVCNZ).

Evolving neural network agents to play atari games with compact state representations

Kourosh Neshatian, Adam Tupper, K. Neshatian, 2020, GECCO Companion.

Genetic Programming for Feature Ranking in Classification Problems

Mengjie Zhang, Kourosh Neshatian, Peter Andreae, 2008, SEAL.

Scalability analysis of genetic programming classifiers

Mengjie Zhang, Kourosh Neshatian, Rachel Hunt, 2012, 2012 IEEE Congress on Evolutionary Computation.

Investigating student interactions with tutorial dialogues in EER-Tutor

Antonija Mitrovic, Kourosh Neshatian, Amali Weerasinghe, 2015, Research and Practice in Technology Enhanced Learning.

Artistic Style Characterization of Vincent Van Gogh s Paintings using Extracted Features from Visible Brush Strokes

Ramakrishnan Mukundan, Tieta Putri, Kourosh Neshatian, 2017, ICPRAM.

Multiple Kernel Learning with One-Level Optimization of Radius and Margin

Kourosh Neshatian, Shinichi Yamada, 2017, Australasian Conference on Artificial Intelligence.

Improving Representation in Benchmarking of Binary PSO Algorithms

Kourosh Neshatian, Shinichi Yamada, 2018, Australasian Conference on Artificial Intelligence.

Hyper-parameter search in support vector machines using PSO with cellular fitness approximation

Kourosh Neshatian, Shinichi Yamada, K. Neshatian, 2017, 2017 IEEE Symposium Series on Computational Intelligence (SSCI).

Comparison of Embedded and Wrapper Approaches for Feature Selection in Support Vector Machines

Kourosh Neshatian, Shinichi Yamada, K. Neshatian, 2019, PRICAI.

Feature Bundles and their Effect on the Performance of Tree-based Evolutionary Classification and Feature Selection Algorithms

Kourosh Neshatian, Lucianne Varn, K. Neshatian, 2019, 2019 IEEE Congress on Evolutionary Computation (CEC).

A hybrid control multi-agent cooperative system for autonomous bin transport during apple harvest

Kourosh Neshatian, XiaoQi Chen, Chris Pretty, 2018, 2018 13th IEEE Conference on Industrial Electronics and Applications (ICIEA).

Eye Tracking and Studying Examples: How Novices and Advanced Learners Study SQL Examples

Antonija Mitrovic, Kourosh Neshatian, Amir Shareghi Najar, 2015, J. Comput. Inf. Technol..

Genetic programming for performance improvement and dimensionality reduction of classification problems

Mengjie Zhang, Kourosh Neshatian, 2008, 2008 IEEE Congress on Evolutionary Computation (IEEE World Congress on Computational Intelligence).

A domain independent Genetic Programming approach to automatic feature extraction for image classification

Mengjie Zhang, Kourosh Neshatian, Daniel L. Atkins, 2011, 2011 IEEE Congress of Evolutionary Computation (CEC).

Evolving Genetic Programming classifiers with loop structures

Mengjie Zhang, Kourosh Neshatian, Fahmi Abdulhamid, 2012, 2012 IEEE Congress on Evolutionary Computation.

Feature Construction and Dimension Reduction Using Genetic Programming

Mark Johnston, Mengjie Zhang, Kourosh Neshatian, 2007, Australian Conference on Artificial Intelligence.

Adaptive Problem Selection in a Mobile Python Tutor

Antonija Mitrovic, Kourosh Neshatian, Geela Venise Firmalo Fabic, 2018, UMAP.

Pareto front feature selection: using genetic programming to explore feature space

Mengjie Zhang, Kourosh Neshatian, Mengjie Zhang, 2009, GECCO.

Restricted Echo State Networks

Kourosh Neshatian, Aaron Stockdill, 2016, Australasian Conference on Artificial Intelligence.