Victor Ciesielski

According to our database, Victor Ciesielski authored at least 94 papers between 1979 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

SWAP-NAS: Sample-Wise Activation Patterns for Ultra-fast NAS.

Yameng Peng, Andy Song, Haytham M. Fayek, Vic Ciesielski, Xiaojun Chang

CoRR, 2024

2023

PRE-NAS: Evolutionary Neural Architecture Search With Predictor.

Yameng Peng, Andy Song, Vic Ciesielski, Haytham M. Fayek, Xiaojun Chang

IEEE Trans. Evol. Comput., February, 2023

Fast Evolutionary Neural Architecture Search by Contrastive Predictor with Linear Regions.

Yameng Peng, Andy Song, Vic Ciesielski, Haytham M. Fayek, Xiaojun Chang

Proceedings of the Genetic and Evolutionary Computation Conference, 2023

2022

PRE-NAS: predictor-assisted evolutionary neural architecture search.

Yameng Peng, Andy Song, Vic Ciesielski, Haytham M. Fayek, Xiaojun Chang

Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Boston, Massachusetts, USA, July 9, 2022

2021

Annotation of Struck-out Text in Handwritten Documents.

Hiqmat Nisa, Vic Ciesielski, James A. Thom, Ruwan B. Tennakoon

Proceedings of the ADCS '21: Australasian Document Computing Symposium, 2021

2020

A Neural Markovian Multiresolution Image Labeling Algorithm.

John Mashford, Brad Lane, Vic Ciesielski, Felix Lipkin

Proceedings of the Intelligent Computing, 2020

Stylised Image Generation From Deep Neural Networks.

Yameng Peng, Vic Ciesielski

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

A Deep Learning Neural Network for Classifying Good and Bad Photos.

Stephen Lou Banal, Vic Ciesielski

Proceedings of the Artificial Intelligence in Music, Sound, Art and Design, 2020

2019

A deep learning approach to handwritten text recognition in the presence of struck-out text.

Hiqmat Nisa, James A. Thom, Vic Ciesielski, Ruwan B. Tennakoon

Proceedings of the 2019 International Conference on Image and Vision Computing New Zealand, 2019

2016

Learning patterns of states from multi-channel time series using genetic programming.

Andy Song, Feng Xie, Vic Ciesielski

Soft Comput., 2016

Node label matching improves classification performance in Deep Belief Networks.

Allan Campbell, Vic Ciesielski, A. Kai Qin

Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Adapting to concept drift with genetic programming for classifying streaming data.

Murray Smith, Vic Ciesielski

Proceedings of the IEEE Congress on Evolutionary Computation, 2016

2015

Feature Discovery by Deep Learning for Aesthetic Analysis of Evolved Abstract Images.

Allan Campbell, Vic Ciesielski, A. Kai Qin

Proceedings of the Evolutionary and Biologically Inspired Music, Sound, Art and Design, 2015

2014

Learning Patterns of States in Time Series by Genetic Programming.

Feng Xie, Andy Song, Vic Ciesielski

Proceedings of the Simulated Evolution and Learning - 10th International Conference, 2014

Genetic Programming for Channel Selection from Multi-stream Sensor Data with Application on Learning Risky Driving Behaviours.

Anh Hoang Dau, Andy Song, Feng Xie, Flora Dilys Salim, Vic Ciesielski

Proceedings of the Simulated Evolution and Learning - 10th International Conference, 2014

Anomaly Detection Using Replicator Neural Networks Trained on Examples of One Class.

Anh Hoang Dau, Victor Ciesielski, Andy Song

Proceedings of the Simulated Evolution and Learning - 10th International Conference, 2014

Feature Construction Using Genetic Programming for Classification of Images by Aesthetic Value.

Andrew Bishop, Victor Ciesielski, Karen Trist

Proceedings of the Evolutionary and Biologically Inspired Music, Sound, Art and Design, 2014

Genetic programming based activity recognition on a smartphone sensory data benchmark.

Feng Xie, Andy Song, Vic Ciesielski

Proceedings of the IEEE Congress on Evolutionary Computation, 2014

A self organizing map based method for understanding features associated with high aesthetic value evolved abstract images.

Allan Campbell, Vic Ciesielski, Karen Trist

Proceedings of the IEEE Congress on Evolutionary Computation, 2014

2013

Human Action Recognition from Multi-Sensor Stream Data by Genetic Programming.

Feng Xie, Andy Song, Victor Ciesielski

Proceedings of the Applications of Evolutionary Computation - 16th European Conference, 2013

Finding Image Features Associated with High Aesthetic Value by Machine Learning.

Victor Ciesielski, Perry Barile, Karen Trist

Proceedings of the Evolutionary and Biologically Inspired Music, Sound, Art and Design, 2013

Activity recognition by smartphone based multi-channel sensors with genetic programming.

Feng Xie, Andy Song, Victor Ciesielski

Proceedings of the IEEE Congress on Evolutionary Computation, 2013

Sensor-based activity recognition with improved GP-based classifier.

Feng Xie, A. Kai Qin, Andy Song, Victor Ciesielski

Proceedings of the IEEE Congress on Evolutionary Computation, 2013

Rice leaf detection with genetic programming.

Minh Luan Nguyen, Victor Ciesielski, Andy Song

Proceedings of the IEEE Congress on Evolutionary Computation, 2013

2012

Event detection in time series by genetic programming.

Feng Xie, Andy Song, Victor Ciesielski

Proceedings of the IEEE Congress on Evolutionary Computation, 2012

Comparison of evolutionary and conventional feature extraction methods for malt classification.

Victor Ciesielski, Brian T. Lam, Minh Luan Nguyen

Proceedings of the IEEE Congress on Evolutionary Computation, 2012

Evolving Event Detectors in Multi-channel Sensor Data.

Feng Xie, Andy Song, Victor Ciesielski

Proceedings of the AI 2012: Advances in Artificial Intelligence, 2012

Learning Time Series Patterns by Genetic Programming.

Feng Xie, Andy Song, Victor Ciesielski

Proceedings of the Thirty-Fifth Australasian Computer Science Conference, 2012

2011

An artist's experience in using an evolutionary algorithm to produce an animated artwork.

Karen Trist, Vic Ciesielski, Perry Barile

Int. J. Arts Technol., 2011

Animations rendered by braitenberg vehicles.

Victor Ciesielski, Perry Barile

Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011

2010

Refinement Techniques for Animated Evolutionary Photomosaics Using Limited Tile Collections.

Shahrul Badariah Mat Sah, Victor Ciesielski, Daryl J. D'Souza

Proceedings of the Applications of Evolutionary Computation, 2010

Evolving programs with parameters and loops.

Gayan Wijesinghe, Victor Ciesielski

Proceedings of the IEEE Congress on Evolutionary Computation, 2010

Fitness landscape analysis for evolutionary non-photorealistic rendering.

Jeff Riley, Victor Ciesielski

Proceedings of the IEEE Congress on Evolutionary Computation, 2010

Evolutionary Non Photo-Realistic Animations with Triangular Brushstrokes.

Ashkan Izadi, Victor Ciesielski, Marsha Berry

Proceedings of the AI 2010: Advances in Artificial Intelligence, 2010

2009

Animated drawings rendered by genetic programming.

Perry Barile, Victor Ciesielski, Marsha Berry, Karen Trist

Proceedings of the Genetic and Evolutionary Computation Conference, 2009

Texture Detection Using Neural Networks Trained on Examples of One Class.

Victor Ciesielski, Vinh Phuong Ha

Proceedings of the AI 2009: Advances in Artificial Intelligence, 2009

Can't See the Forest: Using an Evolutionary Algorithm to Produce an Animated Artwork.

Karen Trist, Victor Ciesielski, Perry Barile

Proceedings of the Arts and Technology - First International Conference, 2009

2008

Linear genetic programming.

Victor Ciesielski

Genet. Program. Evolvable Mach., 2008

Texture Segmentation by Genetic Programming.

Andy Song, Victor Ciesielski

Evol. Comput., 2008

Parameterised Indexed FOR-Loops in Genetic Programming and Regular Binary Pattern Strings.

Gayan Wijesinghe, Victor Ciesielski

Proceedings of the Simulated Evolution and Learning, 7th International Conference, 2008

Comparison between Genetic Algorithm and Genetic Programming Performance for Photomosaic Generation.

Shahrul Badariah Mat Sah, Victor Ciesielski, Daryl J. D'Souza, Marsha Berry

Proceedings of the Simulated Evolution and Learning, 7th International Conference, 2008

Non-photorealistic Rendering Using Genetic Programming.

Perry Barile, Victor Ciesielski, Karen Trist

Proceedings of the Simulated Evolution and Learning, 7th International Conference, 2008

Experiments with indexed FOR-loops in genetic programming.

Gayan Wijesinghe, Victor Ciesielski

Proceedings of the Genetic and Evolutionary Computation Conference, 2008

Evolving similarity functions for code plagiarism detection.

Victor Ciesielski, Nelson Wu, Seyed M. M. Tahaghoghi

Proceedings of the Genetic and Evolutionary Computation Conference, 2008

Grid vs. arbitrary placement of files for generating animated photomosaics.

Gayan Wijesinghe, Shahrul Badariah Mat Sah, Victor Ciesielski

Proceedings of the IEEE Congress on Evolutionary Computation, 2008

2007

Generation of self-referential animated photomosaics.

Daryl J. D'Souza, Victor Ciesielski, Marsha Berry, Karen Trist

Proceedings of the 15th International Conference on Multimedia 2007, 2007

Evolving images for entertainment.

Qinying Xu, Daryl J. D'Souza, Victor Ciesielski

Proceedings of the 4th Australasian Conference on Interactive Entertainment, 2007

Evolution of Animated Photomosaics.

Victor Ciesielski, Marsha Berry, Karen Trist, Daryl J. D'Souza

Proceedings of the Applications of Evolutinary Computing, 2007

Data Mining of Genetic Programming Run Logs.

Victor Ciesielski, Xiang Li

Proceedings of the Genetic Programming, 10th European Conference, 2007

Using restricted loops in genetic programming for image classification.

Gayan Wijesinghe, Victor Ciesielski

Proceedings of the IEEE Congress on Evolutionary Computation, 2007

2006

Landmark Detection using a Domain Independent Technique in Cephalograms.

Sabu John, Victor Ciesielski, Andrew Innes, John Mamutil

Proceedings of the 2006 International Conference on Image Processing, 2006

Analysis of the difficulty of learning goal-scoring behaviour for robot soccer.

Jeff Riley, Victor Ciesielski

Proceedings of the Genetic and Evolutionary Computation Conference, 2006

Analysis of the Superiority of Parameter Optimization over Genetic Programming for a Difficult Object Detection Problem.

Victor Ciesielski, Gayan Wijesinghe, Andrew Innes, Sabu John

Proceedings of the IEEE International Conference on Evolutionary Computation, 2006

2005

Comparison of the Effectiveness of Decimation and Automatically Defined Functions.

D. T. Nanduri, Victor Ciesielski

Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2005

Understanding Evolved Genetic Programs for a Real World Object Detection Problem.

Victor Ciesielski, Andrew Innes, Sabu John, John Mamutil

Proceedings of the Genetic Programming, 8th European Conference, 2005

Multi-objective techniques in genetic programming for evolving classifiers.

Daniel Parrott, Xiaodong Li, Victor Ciesielski

Proceedings of the IEEE Congress on Evolutionary Computation, 2005

An analysis of explicit loops in genetic programming.

Xiang Li, Victor Ciesielski

Proceedings of the IEEE Congress on Evolutionary Computation, 2005

Applying genetic programming to learn spatial differences between textures using a translation invariant representation.

Brian T. Lam, Victor Ciesielski

Proceedings of the IEEE Congress on Evolutionary Computation, 2005

2004

Neural Networks And Genetic Algorithms For Domain Independent Multiclass Object Detection.

Mengjie Zhang, Victor Ciesielski

Int. J. Comput. Intell. Appl., 2004

Reducing False Alarms Using Genetic Programming in Object Detection.

Andrew Innes, Victor Ciesielski, John Mamutil, Sabu John

Proceedings of the International Conference on Artificial Intelligence, 2004

Discovery of Human-Competitive Image Texture Feature Extraction Programs Using Genetic Programming.

Brian T. Lam, Victor Ciesielski

Proceedings of the Genetic and Evolutionary Computation, 2004

Improving Generalisation Performance Through Multiobjective Parsimony Enforcement.

Yaniv Bernstein, Xiaodong Li, Victor Ciesielski, Andy Song

Proceedings of the Genetic and Evolutionary Computation, 2004

Texture analysis by genetic programming.

Andy Song, Victor Ciesielski

Proceedings of the IEEE Congress on Evolutionary Computation, 2004

Experiments with explicit for-loops in genetic programming.

Victor Ciesielski, Xiang Li

Proceedings of the IEEE Congress on Evolutionary Computation, 2004

Multiobjective parsimony enforcement for superior generalisation performance.

Yaniv Bernstein, Xiaodong Li, Victor Ciesielski, Andy Song

Proceedings of the IEEE Congress on Evolutionary Computation, 2004

Layered learning for evolving goal scoring behaviour in soccer players.

Andrei Bajurnow, Vic Ciesielski

Proceedings of the IEEE Congress on Evolutionary Computation, 2004

Using Loops in Genetic Programming for a Two Class Binary Image Classification Problem.

Xiang Li, Victor Ciesielski

Proceedings of the AI 2004: Advances in Artificial Intelligence, 2004

Automatic Music Classification Problems.

George Mitri, Alexandra L. Uitdenbogerd, Victor Ciesielski

Proceedings of the Computer Science 2004, 2004

2003

A Domain-Independent Window Approach to Multiclass Object Detection Using Genetic Programming.

Mengjie Zhang, Victor Ciesielski, Peter Andreae

EURASIP J. Adv. Signal Process., 2003

An Empirical Investigation of the Impact of Discretization on Common Data Distributions.

Michael Ismail, Victor Ciesielski

Proceedings of the Design and Application of Hybrid Intelligent Systems, 2003

Data Mining of Web Access Logs From an Academic Web Site.

Victor Ciesielski, A. Lalani

Proceedings of the Design and Application of Hybrid Intelligent Systems, 2003

Finding Templates for Cephalometric Landmarks Using Pulse Coupled Neural Networks and Genetic Programming.

Andrew Innes, Victor Ciesielski, John Mamutil, Sabu John

Proceedings of the International Conference on Imaging Science, Systems and Technology, 2003

Fast texture segmentation using genetic programming.

Andy Song, Victor Ciesielski

Proceedings of the IEEE Congress on Evolutionary Computation, 2003

Pyramid search: finding solutions for deceptive problems quickly in genetic programming.

Victor Ciesielski, Xiaodong Li

Proceedings of the IEEE Congress on Evolutionary Computation, 2003

2002

Design and Evaluation of an Algorithm Animation of State Space Search Methods.

Peter McDonald, Victor Ciesielski

Comput. Sci. Educ., 2002

Evolution of fuzzy Rule based controllers for Dynamic Environments.

Jeff Riley, Vic Ciesielski

Proceedings of the Recent Advances in Simulated Evolution and Learning [extended and revised papers selected from the 4th Asia-Pacific Conference on Simulated Evolution and Learning, 2002

Landmark Detection for Cephalometric Radiology Images Using Pulse Coupled.

Andrew Innes, Victor Ciesielski, John Mamutil, Sabu John

Proceedings of the International Conference on Artificial Intelligence, 2002

Texture classifiers generated by genetic programming.

Andy Song, Vic Ciesielski, Hugh E. Williams

Proceedings of the 2002 Congress on Evolutionary Computation, 2002

Prevention of early convergence in genetic programming by replacement of similar programs.

Vic Ciesielski, Dylan Mawhinney

Proceedings of the 2002 Congress on Evolutionary Computation, 2002

Genetic Programming for Classification: An Analysis of Convergence Behaviour.

Thomas Loveard, Victor Ciesielski

Proceedings of the AI 2002: Advances in Artificial Intelligence, 2002

2001

Vision System Development by Machine Learning: Hashing Assessment in Brewing.

Andy Song, Victor Ciesielski, Peter Rogers

Appl. Artif. Intell., 2001

Genetic Programming for Robot Soccer.

Victor Ciesielski, Dylan Mawhinney, Peter Wilson

Proceedings of the RoboCup 2001: Robot Soccer World Cup V, 2001

Using animation of state space algorithms to overcome student learning difficulties.

Victor Ciesielski, Peter McDonald

Proceedings of the 6th Annual SIGCSE Conference on Innovation and Technology in Computer Science Education, 2001

Matching Data Mining Algorithm Suitability to Data Characteristics Using a Self-Organizing Map.

Kate A. Smith, Frederick Woo, Victor Ciesielski, Remzi Ibrahim

Proceedings of the Hybrid Information Systems, 2001

Representing classification problems in genetic programming.

Thomas Loveard, Victor Ciesielski

Proceedings of the 2001 Congress on Evolutionary Computation, 2001

Towards Genetic Programming for Texture Classification.

Andy Song, Thomas Loveard, Victor Ciesielski

Proceedings of the AI 2001: Advances in Artificial Intelligence, 2001

1999

Using Back Propagation Algorithm and Genetic Algorithm to Train and Refine Neural Networks for Object Detection.

Mengjie Zhang, Victor Ciesielski

Proceedings of the Database and Expert Systems Applications, 10th International Conference, 1999

Genetic Programming for Multiple Class Object Detection.

Mengjie Zhang, Victor Ciesielski

Proceedings of the Advanced Topics in Artificial Intelligence, 1999

1998

An evolutionary approach to training feedforward and recurrent neural networks.

Jeff Riley, Victor Ciesielski

Proceedings of the Knowledge-Based Intelligent Electronic Systems, 1998

1997

Application of Genetic Search in Derivation of Matrix Models of Peptide Binding to MHC Molecules.

Vladimir Brusic, Christian Schönbach, Masafumi Takiguchi, Victor Ciesielski, Leonard C. Harrison

Proceedings of the 5th International Conference on Intelligent Systems for Molecular Biology, 1997

1996

Using a Hybrid Neural/Expert System for Data Base Mining in Market Survey Data.

Victor Ciesielski, Gregory Palstra

Proceedings of the Second International Conference on Knowledge Discovery and Data Mining (KDD-96), 1996

An analysis of criteria for the evaluation of learning performance.

Honghua Dai, James N. K. Liu, Victor Ciesielski

Proceedings of the Australian New Zealand Conference on Intelligent Information Systems, 1996

1994

Embedding Neural Nets and Expert Systems in Diagnostic Microbiology Laboratories.

Victor Ciesielski, John Spicer

IEEE Expert, 1994

1979

Natural Language Input to a Computer-Based Glaucoma Consultation System.

Victor Ciesielski

Proceedings of the 17th Annual Meeting of the Association for Computational Linguistics, 29 June, 1979