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ORCIDVictor Ciesielski
Vic Ciesielski
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2020 – today
- 2024
[c84]Yameng Peng, Andy Song, Haytham M. Fayek, Vic Ciesielski, Xiaojun Chang:
SWAP-NAS: Sample-Wise Activation Patterns for Ultra-fast NAS. ICLR 2024- [i2]Yameng Peng, Andy Song, Haytham M. Fayek, Vic Ciesielski, Xiaojun Chang:
SWAP-NAS: Sample-Wise Activation Patterns for Ultra-fast NAS. CoRR abs/2403.04161 (2024) - 2023
- [j10]Yameng Peng
, Andy Song, Vic Ciesielski, Haytham M. Fayek, Xiaojun Chang:
PRE-NAS: Evolutionary Neural Architecture Search With Predictor. IEEE Trans. Evol. Comput. 27(1): 26-36 (2023) - [c83]Yameng Peng, Andy Song, Vic Ciesielski, Haytham M. Fayek, Xiaojun Chang:
Fast Evolutionary Neural Architecture Search by Contrastive Predictor with Linear Regions. GECCO 2023: 1257-1266 - 2022
- [c82]Yameng Peng, Andy Song, Vic Ciesielski, Haytham M. Fayek, Xiaojun Chang:
PRE-NAS: predictor-assisted evolutionary neural architecture search. GECCO 2022: 1066-1074 - [i1]Yameng Peng, Andy Song, Vic Ciesielski, Haytham M. Fayek, Xiaojun Chang:
PRE-NAS: Predictor-assisted Evolutionary Neural Architecture Search. CoRR abs/2204.12726 (2022) - 2021
- [c81]Hiqmat Nisa, Vic Ciesielski, James A. Thom, Ruwan B. Tennakoon:
Annotation of Struck-out Text in Handwritten Documents. ADCS 2021: 2:1-2:7 - 2020
- [c80]Stephen Lou Banal, Vic Ciesielski:
A Deep Learning Neural Network for Classifying Good and Bad Photos. EvoMUSART 2020: 1-16 - [c79]Yameng Peng, Vic Ciesielski:
Stylised Image Generation From Deep Neural Networks. IJCNN 2020: 1-8 - [c78]John Mashford, Brad Lane, Vic Ciesielski, Felix Lipkin:
A Neural Markovian Multiresolution Image Labeling Algorithm. SAI (2) 2020: 367-379
2010 – 2019
- 2019
- [c77]Hiqmat Nisa, James A. Thom, Vic Ciesielski, Ruwan B. Tennakoon:
A deep learning approach to handwritten text recognition in the presence of struck-out text. IVCNZ 2019: 1-6 - 2017
- [e3]João Correia, Vic Ciesielski, Antonios Liapis:
Computational Intelligence in Music, Sound, Art and Design - 6th International Conference, EvoMUSART 2017, Amsterdam, The Netherlands, April 19-21, 2017, Proceedings. Lecture Notes in Computer Science 10198, 2017, ISBN 978-3-319-55749-6 [contents] - 2016
- [j9]Andy Song, Feng Xie, Vic Ciesielski:
Learning patterns of states from multi-channel time series using genetic programming. Soft Comput. 20(10): 3915-3925 (2016) - [c76]Murray Smith, Vic Ciesielski:
Adapting to concept drift with genetic programming for classifying streaming data. CEC 2016: 5026-5033 - [c75]Allan Campbell, Vic Ciesielski, A. Kai Qin:
Node label matching improves classification performance in Deep Belief Networks. IJCNN 2016: 1646-1653 - [e2]Colin G. Johnson, Vic Ciesielski, João Correia, Penousal Machado:
Evolutionary and Biologically Inspired Music, Sound, Art and Design - 5th International Conference, EvoMUSART 2016, Porto, Portugal, March 30 - April 1, 2016, Proceedings. Lecture Notes in Computer Science 9596, Springer 2016, ISBN 978-3-319-31007-7 [contents] - 2015
- [c74]Allan Campbell, Vic Ciesielski, A. Kai Qin:
Feature Discovery by Deep Learning for Aesthetic Analysis of Evolved Abstract Images. EvoMUSART 2015: 27-38 - 2014
- [c73]Allan Campbell, Vic Ciesielski, Karen Trist:
A self organizing map based method for understanding features associated with high aesthetic value evolved abstract images. IEEE Congress on Evolutionary Computation 2014: 2274-2281 - [c72]Feng Xie, Andy Song, Vic Ciesielski:
Genetic programming based activity recognition on a smartphone sensory data benchmark. IEEE Congress on Evolutionary Computation 2014: 2917-2924 - [c71]Andrew Bishop, Victor Ciesielski, Karen Trist:
Feature Construction Using Genetic Programming for Classification of Images by Aesthetic Value. EvoMUSART 2014: 62-73 - [c70]Anh Hoang Dau, Victor Ciesielski, Andy Song:
Anomaly Detection Using Replicator Neural Networks Trained on Examples of One Class. SEAL 2014: 311-322 - [c69]Feng Xie, Andy Song, Vic Ciesielski:
Learning Patterns of States in Time Series by Genetic Programming. SEAL 2014: 371-382 - [c68]Anh Hoang Dau, Andy Song, Feng Xie, Flora Dilys Salim, Vic Ciesielski:
Genetic Programming for Channel Selection from Multi-stream Sensor Data with Application on Learning Risky Driving Behaviours. SEAL 2014: 542-553 - 2013
- [c67]Minh Luan Nguyen, Victor Ciesielski, Andy Song:
Rice leaf detection with genetic programming. IEEE Congress on Evolutionary Computation 2013: 1146-1153 - [c66]Feng Xie, Andy Song, Victor Ciesielski:
Activity recognition by smartphone based multi-channel sensors with genetic programming. IEEE Congress on Evolutionary Computation 2013: 1162-1169 - [c65]Feng Xie, A. Kai Qin, Andy Song, Victor Ciesielski:
Sensor-based activity recognition with improved GP-based classifier. IEEE Congress on Evolutionary Computation 2013: 3043-3050 - [c64]Victor Ciesielski, Perry Barile, Karen Trist:
Finding Image Features Associated with High Aesthetic Value by Machine Learning. EvoMUSART 2013: 47-58 - [c63]Feng Xie, Andy Song, Victor Ciesielski:
Human Action Recognition from Multi-Sensor Stream Data by Genetic Programming. EvoApplications 2013: 418-427 - 2012
- [c62]Feng Xie, Andy Song, Victor Ciesielski:
Learning Time Series Patterns by Genetic Programming. ACSC 2012: 57-62 - [c61]Feng Xie, Andy Song, Victor Ciesielski:
Evolving Event Detectors in Multi-channel Sensor Data. Australasian Conference on Artificial Intelligence 2012: 731-742 - [c60]Victor Ciesielski, Brian T. Lam, Minh Luan Nguyen:
Comparison of evolutionary and conventional feature extraction methods for malt classification. IEEE Congress on Evolutionary Computation 2012: 1-7 - [c59]Feng Xie, Andy Song, Victor Ciesielski:
Event detection in time series by genetic programming. IEEE Congress on Evolutionary Computation 2012: 1-8 - 2011
- [j8]Karen Trist, Vic Ciesielski, Perry Barile:
An artist's experience in using an evolutionary algorithm to produce an animated artwork. Int. J. Arts Technol. 4(2): 155-167 (2011) - [c58]Victor Ciesielski, Perry Barile:
Animations rendered by braitenberg vehicles. GECCO (Companion) 2011: 9-10 - 2010
- [c57]Ashkan Izadi, Victor Ciesielski, Marsha Berry:
Evolutionary Non Photo-Realistic Animations with Triangular Brushstrokes. Australasian Conference on Artificial Intelligence 2010: 283-292 - [c56]Jeff Riley, Victor Ciesielski:
Fitness landscape analysis for evolutionary non-photorealistic rendering. IEEE Congress on Evolutionary Computation 2010: 1-9 - [c55]Gayan Wijesinghe, Victor Ciesielski:
Evolving programs with parameters and loops. IEEE Congress on Evolutionary Computation 2010: 1-8 - [c54]Shahrul Badariah Mat Sah, Victor Ciesielski, Daryl J. D'Souza:
Refinement Techniques for Animated Evolutionary Photomosaics Using Limited Tile Collections. EvoApplications (2) 2010: 281-290
2000 – 2009
- 2009
- [c53]Karen Trist, Victor Ciesielski, Perry Barile:
Can't See the Forest: Using an Evolutionary Algorithm to Produce an Animated Artwork. ArtsIT 2009: 255-262 - [c52]Victor Ciesielski, Vinh Phuong Ha:
Texture Detection Using Neural Networks Trained on Examples of One Class. Australasian Conference on Artificial Intelligence 2009: 140-149 - [c51]Perry Barile, Victor Ciesielski, Marsha Berry, Karen Trist:
Animated drawings rendered by genetic programming. GECCO 2009: 939-946 - 2008
- [j7]Andy Song, Victor Ciesielski:
Texture Segmentation by Genetic Programming. Evol. Comput. 16(4): 461-481 (2008) - [j6]Victor Ciesielski:
Linear genetic programming. Genet. Program. Evolvable Mach. 9(1): 105-106 (2008) - [c50]Gayan Wijesinghe, Shahrul Badariah Mat Sah, Victor Ciesielski:
Grid vs. arbitrary placement of files for generating animated photomosaics. IEEE Congress on Evolutionary Computation 2008: 2734-2740 - [c49]Gayan Wijesinghe, Victor Ciesielski:
Experiments with indexed FOR-loops in genetic programming. GECCO 2008: 1347-1348 - [c48]Victor Ciesielski, Nelson Wu, Seyed M. M. Tahaghoghi:
Evolving similarity functions for code plagiarism detection. GECCO 2008: 1453-1460 - [c47]Shahrul Badariah Mat Sah, Victor Ciesielski, Daryl J. D'Souza, Marsha Berry:
Comparison between Genetic Algorithm and Genetic Programming Performance for Photomosaic Generation. SEAL 2008: 259-268 - [c46]Perry Barile, Victor Ciesielski, Karen Trist:
Non-photorealistic Rendering Using Genetic Programming. SEAL 2008: 299-308 - [c45]Gayan Wijesinghe, Victor Ciesielski:
Parameterised Indexed FOR-Loops in Genetic Programming and Regular Binary Pattern Strings. SEAL 2008: 524-533 - [e1]Xiaodong Li, Michael Kirley, Mengjie Zhang, David G. Green, Victor Ciesielski, Hussein A. Abbass, Zbigniew Michalewicz, Tim Hendtlass, Kalyanmoy Deb, Kay Chen Tan, Jürgen Branke, Yuhui Shi:
Simulated Evolution and Learning, 7th International Conference, SEAL 2008, Melbourne, Australia, December 7-10, 2008. Proceedings. Lecture Notes in Computer Science 5361, Springer 2008, ISBN 978-3-540-89693-7 [contents] - 2007
- [c44]Gayan Wijesinghe, Victor Ciesielski:
Using restricted loops in genetic programming for image classification. IEEE Congress on Evolutionary Computation 2007: 4569-4576 - [c43]Victor Ciesielski, Xiang Li:
Data Mining of Genetic Programming Run Logs. EuroGP 2007: 281-290 - [c42]Victor Ciesielski, Marsha Berry, Karen Trist, Daryl J. D'Souza:
Evolution of Animated Photomosaics. EvoWorkshops 2007: 498-507 - [c41]Qinying Xu, Daryl J. D'Souza, Victor Ciesielski:
Evolving images for entertainment. IE 2007: 26 - [c40]Daryl J. D'Souza, Victor Ciesielski, Marsha Berry, Karen Trist:
Generation of self-referential animated photomosaics. ACM Multimedia 2007: 489-492 - 2006
- [c39]Victor Ciesielski, Gayan Wijesinghe, Andrew Innes, Sabu John:
Analysis of the Superiority of Parameter Optimization over Genetic Programming for a Difficult Object Detection Problem. IEEE Congress on Evolutionary Computation 2006: 1264-1271 - [c38]Jeff Riley, Victor Ciesielski:
Analysis of the difficulty of learning goal-scoring behaviour for robot soccer. GECCO 2006: 1569-1576 - [c37]Sabu John, Victor Ciesielski, Andrew Innes, John Mamutil:
Landmark Detection using a Domain Independent Technique in Cephalograms. IPCV 2006: 540-546 - 2005
- [c36]Daniel Parrott, Xiaodong Li, Victor Ciesielski:
Multi-objective techniques in genetic programming for evolving classifiers. Congress on Evolutionary Computation 2005: 1141-1148 - [c35]Brian T. Lam, Victor Ciesielski:
Applying genetic programming to learn spatial differences between textures using a translation invariant representation. Congress on Evolutionary Computation 2005: 2202-2209 - [c34]Xiang Li, Victor Ciesielski:
An analysis of explicit loops in genetic programming. Congress on Evolutionary Computation 2005: 2522-2529 - [c33]Victor Ciesielski, Andrew Innes, Sabu John, John Mamutil:
Understanding Evolved Genetic Programs for a Real World Object Detection Problem. EuroGP 2005: 351-360 - [c32]D. T. Nanduri, Victor Ciesielski:
Comparison of the Effectiveness of Decimation and Automatically Defined Functions. KES (3) 2005: 540-546 - 2004
- [j5]Mengjie Zhang, Victor Ciesielski:
Neural Networks And Genetic Algorithms For Domain Independent Multiclass Object Detection. Int. J. Comput. Intell. Appl. 4(1): 77-108 (2004) - [c31]George Mitri, Alexandra L. Uitdenbogerd, Victor Ciesielski:
Automatic Music Classification Problems. ACSC 2004: 315-322 - [c30]Xiang Li, Victor Ciesielski:
Using Loops in Genetic Programming for a Two Class Binary Image Classification Problem. Australian Conference on Artificial Intelligence 2004: 898-909 - [c29]Yaniv Bernstein, Xiaodong Li, Victor Ciesielski, Andy Song:
Multiobjective parsimony enforcement for superior generalisation performance. IEEE Congress on Evolutionary Computation 2004: 83-89 - [c28]Victor Ciesielski, Xiang Li:
Experiments with explicit for-loops in genetic programming. IEEE Congress on Evolutionary Computation 2004: 494-501 - [c27]Andrei Bajurnow, Vic Ciesielski:
Layered learning for evolving goal scoring behaviour in soccer players. IEEE Congress on Evolutionary Computation 2004: 1828-1835 - [c26]Andy Song, Victor Ciesielski:
Texture analysis by genetic programming. IEEE Congress on Evolutionary Computation 2004: 2092-2099 - [c25]Yaniv Bernstein, Xiaodong Li, Victor Ciesielski, Andy Song:
Improving Generalisation Performance Through Multiobjective Parsimony Enforcement. GECCO (2) 2004: 702-703 - [c24]Brian T. Lam, Victor Ciesielski:
Discovery of Human-Competitive Image Texture Feature Extraction Programs Using Genetic Programming. GECCO (2) 2004: 1114-1125 - [c23]Andrew Innes, Victor Ciesielski, John Mamutil, Sabu John:
Reducing False Alarms Using Genetic Programming in Object Detection. IC-AI 2004: 569-574 - 2003
- [j4]Mengjie Zhang, Victor Ciesielski, Peter Andreae:
A Domain-Independent Window Approach to Multiclass Object Detection Using Genetic Programming. EURASIP J. Adv. Signal Process. 2003(8): 841-859 (2003) - [c22]Victor Ciesielski, Xiaodong Li:
Pyramid search: finding solutions for deceptive problems quickly in genetic programming. IEEE Congress on Evolutionary Computation 2003: 936-943 - [c21]Andy Song, Victor Ciesielski:
Fast texture segmentation using genetic programming. IEEE Congress on Evolutionary Computation 2003: 2126-2133 - [c20]Andrew Innes, Victor Ciesielski, John Mamutil, Sabu John:
Finding Templates for Cephalometric Landmarks Using Pulse Coupled Neural Networks and Genetic Programming. CISST 2003: 456-462 - [c19]Michael Ismail, Victor Ciesielski:
An Empirical Investigation of the Impact of Discretization on Common Data Distributions. HIS 2003: 692-701 - [c18]Victor Ciesielski, A. Lalani:
Data Mining of Web Access Logs From an Academic Web Site. HIS 2003: 1034-1043 - 2002
- [j3]Peter McDonald, Victor Ciesielski:
Design and Evaluation of an Algorithm Animation of State Space Search Methods. Comput. Sci. Educ. 12(4): 301-324 (2002) - [c17]Thomas Loveard, Victor Ciesielski:
Genetic Programming for Classification: An Analysis of Convergence Behaviour. Australian Joint Conference on Artificial Intelligence 2002: 309-320 - [c16]Vic Ciesielski, Dylan Mawhinney:
Prevention of early convergence in genetic programming by replacement of similar programs. IEEE Congress on Evolutionary Computation 2002: 67-72 - [c15]Andy Song, Vic Ciesielski, Hugh E. Williams:
Texture classifiers generated by genetic programming. IEEE Congress on Evolutionary Computation 2002: 243-248 - [c14]Andrew Innes, Victor Ciesielski, John Mamutil, Sabu John:
Landmark Detection for Cephalometric Radiology Images Using Pulse Coupled. IC-AI 2002: 511-517 - [c13]Jeff Riley, Vic Ciesielski:
Evolution of fuzzy Rule based controllers for Dynamic Environments. SEAL 2002: 426-445 - 2001
- [j2]Andy Song, Victor Ciesielski, Peter Rogers:
Vision System Development by Machine Learning: Hashing Assessment in Brewing. Appl. Artif. Intell. 15(8): 777-795 (2001) - [c12]Andy Song, Thomas Loveard, Victor Ciesielski:
Towards Genetic Programming for Texture Classification. Australian Joint Conference on Artificial Intelligence 2001: 461-472 - [c11]Thomas Loveard, Victor Ciesielski:
Representing classification problems in genetic programming. CEC 2001: 1070-1077 - [c10]Kate A. Smith, Frederick Woo, Victor Ciesielski, Remzi Ibrahim:
Matching Data Mining Algorithm Suitability to Data Characteristics Using a Self-Organizing Map. HIS 2001: 169-179 - [c9]Victor Ciesielski, Peter McDonald:
Using animation of state space algorithms to overcome student learning difficulties. ITiCSE 2001: 97-100 - [c8]Victor Ciesielski, Dylan Mawhinney, Peter Wilson:
Genetic Programming for Robot Soccer. RoboCup 2001: 319-324
1990 – 1999
- 1999
- [c7]Mengjie Zhang, Victor Ciesielski:
Genetic Programming for Multiple Class Object Detection. Australian Joint Conference on Artificial Intelligence 1999: 180-192 - [c6]Mengjie Zhang, Victor Ciesielski:
Using Back Propagation Algorithm and Genetic Algorithm to Train and Refine Neural Networks for Object Detection. DEXA 1999: 626-635 - 1998
- [c5]Jeff Riley, Victor Ciesielski:
An evolutionary approach to training feedforward and recurrent neural networks. KES (3) 1998: 596-602 - 1997
- [c4]Vladimir Brusic, Christian Schönbach, Masafumi Takiguchi, Victor Ciesielski, Leonard C. Harrison:
Application of Genetic Search in Derivation of Matrix Models of Peptide Binding to MHC Molecules. ISMB 1997: 75-83 - 1996
- [c3]Honghua Dai, James N. K. Liu, Victor Ciesielski:
An analysis of criteria for the evaluation of learning performance. ANZIIS 1996: 84-87 - [c2]Victor Ciesielski, Gregory Palstra:
Using a Hybrid Neural/Expert System for Data Base Mining in Market Survey Data. KDD 1996: 38-43 - 1994
- [j1]Victor Ciesielski, John Spicer:
Embedding Neural Nets and Expert Systems in Diagnostic Microbiology Laboratories. IEEE Expert 9(3): 42-48 (1994)
1970 – 1979
- 1979
- [c1]Victor Ciesielski:
Natural Language Input to a Computer-Based Glaucoma Consultation System. ACL 1979
Coauthor Index
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last updated on 2024-07-30 20:45 CEST by the dblp team
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