Vic Ciesielski

Publication Activity (10 Years)

Years Active: 2002-2024
Publications (10 Years): 15

Top Topics

Genetic Programming

Top Venues

IEEE Congress on Evolutionary Computation

Publications

Yameng Peng, Andy Song, Haytham M. Fayek, Vic Ciesielski, Xiaojun Chang
SWAP-NAS: Sample-Wise Activation Patterns for Ultra-fast NAS. CoRR (2024)
Yameng Peng, Andy Song, Haytham M. Fayek, Vic Ciesielski, Xiaojun Chang
SWAP-NAS: Sample-Wise Activation Patterns for Ultra-fast NAS. ICLR (2024)
Yameng Peng, Andy Song, Vic Ciesielski, Haytham M. Fayek, Xiaojun Chang
Fast Evolutionary Neural Architecture Search by Contrastive Predictor with Linear Regions. GECCO (2023)
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) (2023)
Yameng Peng, Andy Song, Vic Ciesielski, Haytham M. Fayek, Xiaojun Chang
PRE-NAS: Predictor-assisted Evolutionary Neural Architecture Search. CoRR (2022)
Yameng Peng, Andy Song, Vic Ciesielski, Haytham M. Fayek, Xiaojun Chang
PRE-NAS: predictor-assisted evolutionary neural architecture search. GECCO (2022)
Hiqmat Nisa, Vic Ciesielski, James A. Thom, Ruwan B. Tennakoon
Annotation of Struck-out Text in Handwritten Documents. ADCS (2021)
John Mashford, Brad Lane, Vic Ciesielski, Felix Lipkin
A Neural Markovian Multiresolution Image Labeling Algorithm. SAI (2) (2020)
Stephen Lou Banal, Vic Ciesielski
A Deep Learning Neural Network for Classifying Good and Bad Photos. EvoMUSART (2020)
Yameng Peng, Vic Ciesielski
Stylised Image Generation From Deep Neural Networks. IJCNN (2020)
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)
Murray Smith, Vic Ciesielski
Adapting to concept drift with genetic programming for classifying streaming data. CEC (2016)
Andy Song, Feng Xie, Vic Ciesielski
Learning patterns of states from multi-channel time series using genetic programming. Soft Comput. 20 (10) (2016)
Allan Campbell, Vic Ciesielski, A. Kai Qin
Node label matching improves classification performance in Deep Belief Networks. IJCNN (2016)
Allan Campbell, Vic Ciesielski, A. Kai Qin
Feature Discovery by Deep Learning for Aesthetic Analysis of Evolved Abstract Images. EvoMUSART (2015)
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)
Feng Xie, Andy Song, Vic Ciesielski
Genetic programming based activity recognition on a smartphone sensory data benchmark. IEEE Congress on Evolutionary Computation (2014)
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)
Feng Xie, Andy Song, Vic Ciesielski
Learning Patterns of States in Time Series by Genetic Programming. SEAL (2014)
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) (2011)
Andrei Bajurnow, Vic Ciesielski
Layered learning for evolving goal scoring behaviour in soccer players. IEEE Congress on Evolutionary Computation (2004)
Vic Ciesielski, Dylan Mawhinney
Prevention of early convergence in genetic programming by replacement of similar programs. IEEE Congress on Evolutionary Computation (2002)
Jeff Riley, Vic Ciesielski
Evolution of fuzzy Rule based controllers for Dynamic Environments. SEAL (2002)
Andy Song, Vic Ciesielski, Hugh E. Williams
Texture classifiers generated by genetic programming. IEEE Congress on Evolutionary Computation (2002)