Vic Ciesielski, Publications


[1]
Feng Xie, Andy Song, and Vic Ciesielski. Learning patterns of states in time series by genetic programming. In Dick et al., editor, Tenth International Conference on Simulated Evolution And Learning (SEAL 2014), volume LNCS 8886, pages 371-382. Dunedin, Springer Heidelberg, December 2014. (PDF)

[2]
Hoang Anh Dau, Feng Xie, Flora Salim, Andy Song, and Vic Ciesielski. Genetic programming for channel selection from multi-stream sensor data with application on learning risky driving behaviours. In Dick et al., editor, Tenth International Conference on Simulated Evolution And Learning (SEAL 2014), volume LNCS 8886, pages 542-553. Dunedin, Springer Heidelberg, December 2014. (PDF)

[3]
Hoang Anh Dau, Vic Ciesielski, and Andy Song. Anomaly detection using replicator neural networks trained on examples of one class. In Dick et al., editor, Tenth International Conference on Simulated Evolution And Learning (SEAL 2014), volume LNCS 8886, pages 311-323. Dunedin, Springer Heidelberg, December 2014. (PDF)

[4]
Andrew Bishop, Vic Ciesielski, and Karen Trist. Feature construction using genetic programming for classification of images by aesthetic value. In Juan Romero et al., editor, Evolutionary and Biologically Inspired Music, Sound, Art and Design (EVOMUSART-2014), Lecture Notes in Computer Science, volume 8601, pages 62-73. Springer Verlag Berlin Heidelberg, 2014. (PDF)

[5]
Feng Xie, Andy Song, and Vic Ciesielski. Genetic programming based activity recognition on a smartphone sensory data benchmark. In 2014 IEEE Congress on Evolutionary Computation, pages 2917-2924. IEEE Press, 2014. (PDF)

[6]
Allan Campbell, Vic Ciesielski, and Karen Trist. A self organizing map based method for understanding features associated with high aesthetic value evolved abstract images. In 2014 IEEE Congress on Evolutionary Computation, pages 2274-2281. IEEE Press, 2014. (PDF)

[7]
Feng Xie, Andy Song A. K. Qin, and Vic Ciesielski. Sensor-based activity recognition with improved GP-based classifier. In 2013 IEEE Congress on Evolutionary Computation, volume Volume 1, pages 3043-3050. IEEE Press, 2013. (PDF)

[8]
Feng Xie, Andy Song, and Vic Ciesielski. Activity recognition by smartphone based multi-channel sensors with genetic programming. In 2013 IEEE Congress on Evolutionary Computation, volume Volume 1, pages 1162-1169. IEEE Press, 2013. (PDF)

[9]
Minh Luan Nguyen, Vic Ciesielski, and Andy Song. Rice leaf detection with genetic programming. In 2013 IEEE Congress on Evolutionary Computation, volume Volume 1, pages 1146-1153. IEEE Press, 2013. (PDF)

[10]
Feng Xie, Andy Song, and Vic Ciesielski. Human action recognition from multi-sensor stream data by genetic programming. In Anna I. Esparcia-Alcázar et al., editor, Applications of Evolutionary Computation Lecture Notes in Computer Science Volume 7835, pages 418-427, 2013. (PDF)

[11]
Vic Ciesielski, Perry Barile, and Karen Trist. Finding image features associated with high aesthetic value by machine learning. In P. Machado, J. McDermott, and A. Carballal, editors, Evolutionary and Biologically Inspired Music, Sound, Art and Design Lecture Notes in Computer Science Volume 7834, pages 47-58, 2013. (PDF)

[12]
Feng Xie, Andy Song, and Vic Ciesielski. Evolving event detectors in multi-channel sensor data. In Proceedings of the 25th Australasian Joint Conference on Advances in Artificial Intelligence (AI12), pages 731-742, June 25-27 2012. (PDF)

[13]
Feng Xie, Andy Song, and Vic Ciesielski. Learning time series patterns by genetic programming. In Australasian Computer Science Conference. Melbourne Australia, Jan 30 -- Feb 2 2012.

[14]
Karen Trist, Vic Ciesieski, and Perry Barile. Dollar and a half: Animated non photo-realistic renderings generated by an evolutionary algorithm. In The Animation Machine - The 24th Annual Society for Animation Studies Conference, page Connference Presentation, June 25-27 2012.

[15]
Feng Xie, Andy Song, and Vic Ciesielski. Event detection in time series by genetic programming. In IEEE World Congress on Computational Intelligence (CEC2012), pages 1-8. Brisbane Australia, IEEE Press, June 10-15 2012. (PDF)

[16]
Vic Ciesielski, Brian Lam, and Minh Luan Nguyen. Comparison of evolutionary and conventional feature extraction methods for malt classification. In IEEE World Congress on Computational Intelligence (CEC 2012), pages 1-7. Brisbane Australia, IEEE Press, June 10-15 2012. (PDF)

[17]
Perry Barile and Vic Ciesielski. Animations rendered by braitenberg vehicles. In GECCO11: Proceedings of the 13th annual conference companion on Genetic and evolutionary computation, pages 9-10. ACM, July 12-16 2011.

[18]
Karen Trist, Vic Ciesielski, and Perry Barile. An artist's experience in using an evolutionary algorithm to produce an animated artwork. International Journal of Arts and Technology, 4(2):155-167, 2011. (PDF)

[19]
Marsha Berry, Daryl D'Souza, Vic Ciesielski, and Karen Trist. Animated evolved photomosaics: Constantly becoming other. Crossings: Electronic Journal of Art and Technology, 6(1):1-14, 2011.

[20]
Ashkan Izadi, Vic Ciesielski, and Marsha Berry. Evolutionary non photo-realistic animations with triangular brushstrokes. In Jiuyong Li, editor, AI2010: Advances in Artificial Intelligence, Proceedings of the 23rd Australian Joint Conference, volume LNAI 6464, pages 281-292. Springer, Berlin, 2010. (PDF)

[21]
Ashkan Izadi and Vic Ciesielski. An exploration of genetic programming for non-photorealistic animations. In Yi Hang, Wen Desheng, and Parvinder Sandhu, editors, Proceedings of the Third IEEE International Conference on Computer Science and Information Technology (ICCSIT 2010), volume 9, pages 255-259. IEEE Press, 2010. (PDF)

[22]
Ashkan Izadi and Vic Ciesielski. Evolved strokes in non photorealistic rendering. In Cemal Ardil, editor, Proceedings of the World Academy of Science Engineering and Technology, volume 67, pages 1-6. World Academy of Science, Engineering and Technology, 2010.

[23]
Jeff Riley and Vic Ciesielski. Fitness landscape analysis for evolutionary non-photorealistic rendering. In G. Fogel at al., editor, IEEE CEC, WCCI 2010 IEEE World Congress on Computational Intelligence, pages 2537-2545. IEEE Press, 2010. (PDF)

[24]
Gayan Wijesinghe and Vic Ciesielski. Evolving programs with parameters and loops. In G. Fogel at al., editor, IEEE CEC, WCCI 2010 IEEE World Congress on Computational Intelligence, pages 2436-2443. IEEE Press, 2010. (PDF)

[25]
Shahrul Badariah Mat Sah, Vic Ciesielski, and Daryl D'Souza. Refinement techniques for animated evolutionary photomosaics using limited tile collections. In Cecilia Di Chio et al., editor, Lecture Notes in Computer Science, Applications of Evolutionary Computation, EVOMUSART, volume 6025/2010, pages 281-290. Springer, 2010. (PDF)

[26]
Jianhong (Cecilia) Xia, Fiona H. Evans, Katrina Spilsbury, Vic Ciesielski, Colin Arrowsmith, and Graeme Wright. Market segments based on the dominant movement patterns of tourists. Tourism Management, 31(4):464-469, 2010.

[27]
Vic Ciesielski and Vinh Ha. Texture detection using neural networks trained on examples of one class. In A. Nicholson and X. Li, editors, AI 2009: Advances in Artificial Intelligence, pages 255-262. Springer, Berlin, 2009. (22nd Australasian Joint Conference on Artificial Intelligence ). (PDF)

[28]
Karen Trist, Vic Ciesielski, and Perry Barile. Can't see the forest: Using an evolutionary algorithm to produce an animated artwork. In ArtsIT 2009: International Conference on Arts and Technology, page Accepted. Springer, 2009. (PDF)

[29]
Perry Barile, Vic Ciesielski, Karen Trist, and Marsha Berry. Animated drawings rendered by genetic programming. In GECCO '09: Proceedings of the 10th annual conference on Genetic and evolutionary computation, pages 939-948, New York, NY, USA, 2009. ACM. (PDF)

[30]
Gayan Wijesinghe and Vic Ciesielski. Parameterised indexed for-loops in genetic programming and regular binary pattern strings. In Xiaodong Li et al., editor, SEAL 2008: Proceedings of the 7th International Conference on Simulated Evolution and Learning, pages 524-533. LNCS 5361, Springer-Verlag, Berlin, 2008.

[31]
Andy Song and Vic Ciesielski. Texture segmentation by genetic programming. Evolutionary Computation, 16(4):461-481, Winter 2008.

[32]
Perry Barile, Vic Ciesielski, and Karen Trist. Non-photorealistic rendering using genetic programming. In Xiaodong Li et al., editor, SEAL 2008: Proceedings of the 7th International Conference on Simulated Evolution and Learning, pages 299-306. LNCS 5361, Springer-Verlag, Berlin, 2008. (PDF)

[33]
Shahrul Badariah Mat Sah, Vic Ciesielski, Daryl D'Souza, and Marsha Berry. Comparison between genetic algorithm and genetic programming performance for photomosaic generation. In Xiaodong Li et al., editor, SEAL '08: Proceedings of the 7th International Conference on Simulated Evolution and Learning, pages 259-268. LNCS 5361, Springer-Verlag, Berlin, 2008. (PDF)

[34]
Gayan Wijesinghe and Vic Ciesielski. Experiments with indexed for-loops in genetic programming. In GECCO '08: Proceedings of the 10th annual conference on Genetic and evolutionary computation, pages 1347-1348, New York, NY, USA, 2008. ACM. (PDF)

[35]
Vic Ciesielski, Nelson Wu, and Seyed Tahaghoghi. Evolving similarity functions for code plagiarism detection. In GECCO '08: Proceedings of the 10th annual conference on Genetic and evolutionary computation, pages 1453-1460, New York, NY, USA, 2008. ACM. (PDF)

[36]
Gayan Wijesinghe, Shahrul Badariah Mat Sah, and Vic Ciesielski. Grid vs. arbitrary placement for generating animated photomosaics. In Proceedings of the 2008 Congress on Evolutionary Computation (CEC2008), pages 2739-2745, Piscataway NJ, 2008. IEEE. (PDF)

[37]
Jeff Riley and Vic Ciesielski. Analysing the difficulty of learning goal-scoring behaviour for robot soccer. In Pedro Lima, editor, Robotic Soccer, pages 307-336. I-Tech Education and Publishing, Vienna, 2007.

[38]
Vic Ciesielski. Book Review: Linear Genetic Programming, Markus Brameier and Wolfgang Banzhaf. Genetic Programming and Evolvable Machines, 9(1). Book Review.

[39]
Gayan Wijesinghe and Vic Ciesielski. Using restricted loops in genetic programming for image classification. In Proceedings of the 2007 Congress on Evolutionary Computation (CEC2007, pages 4569-4576, Singapore, 2007.

[40]
Qinying Xu, Daryl D'Souza, and Vic Ciesielski. Evolving images for entertainment. In Proceedings of the 2007 Australasian Conference on Interactive Entertainment, pages 1-8. RMIT University, ACM, 3-5 Dec 2007.

[41]
Daryl D'Souza, Vic Ciesielski, Marsha Berry, and Karen Trist. Generation of self-referential animated photomosaics. In MULTIMEDIA '07: Proceedings of the 15th international conference on Multimedia, pages 489-492, New York, NY, USA, 2007. ACM.

[42]
Vic Ciesielski, Andy Song, and Brian Lam. Visual texture classification and segmentation by genetic programming. In Stefano Cagnoni, Evelyne Lutton, and Gustavo Olague, editors, Genetic and Evolutionary Computation for Image Processing and Analysis, pages 195-213. Hindawi Publishing Company, New York, 2007.

[43]
Vic Ciesielski, Marsha Berry, Karen Trist, and Daryl D'Souza. Computer Animation: Constantly Becoming Other. In Art Escapes: Variations of Life in the Media Arts, Exhibition Catalog, pages 13,52-55,113. Universitat Politecnica de Valencia, Spain, Apr 2007.

[44]
Vic Ciesielski, Djaka Kurniawan, and Andy Song. Towards image retrieval by texture segmentation with genetic programming. In Ling Guan and Kaoru Hirota, editors, IEEE Symposium on Computational Intelligence in Image and Signal Processing (CIISP 2007),, pages 281-286. IEEE Press, April 2007.

[45]
Vic Ciesielski and Xiang Li. Data mining of genetic programming run logs. In Marc Ebner et al., editor, Proceedings of the 10th European Conference on Genetic Programming (EUROGP07), volume 4445 of LNCS, pages 281-290. Springer, April 2007.

[46]
Vic Ciesielski, Marsha Berry, Karen Trist, and Daryl D'Souza. Evolution of animated photomosaics. In Marco Giacobini, editor, Applications of Evolutionary Computing: Proceedings of the 5th European Workshop on Evolutionary Music and Art (EVOMUSART07), volume 4448 of LNCS, pages 498-507. Springer, April 2007.

[47]
Jeff Riley and Vic Ciesielski. Analysis of the difficulty of learning goal scoring behaviour for robot soccer. In Maarten Keijzer et al., editor, Proceedings of the Conference on Genetic and Evolutionary Computation (GECCO2006), volume 2, pages 1569-1576. ACM Press, July 2006. (PDF)

[48]
Vic Ciesielski, Gayan Wijesinghe, Andrew Innes, and Sabu John. Analysis of the superiority of parameter optimization over genetic programming for a difficult object detection problem. In Proceedings of the 2006 Congress on Evolutionary Computation (CEC2006, pages 1264-1271. IEEE Press, July 2006. (PDF)

[49]
Jianhong Xia, Vic Ciesielski, and Colin Arrowsmith. Data mining of tourists spatio-temporal movement patterns --- a case study on phillip island. In Yichun Xie and Daniel Brown, editors, Proceedings of the Eighth d International Conference on GeoComputation), pages 1-15. University of Michigan, August 2005. (PDF, 429765 bytes)

[50]
Dharma Teja Nanduri and Vic Ciesielski. Comparison of the effectiveness of decimation and automatically defined functions. In Rajiv Khosla, Robert Howlett, and Lakhmi Jain, editors, Ninth International Conference on Knowledge-Based Intelligent Information and Engineering Systems (KES05), Lecture Notes in Artificial Intelligence, Volume 3683, pages III:540-546. Springer, September 2005.

[51]
Daniel Parrot, Xiaodong Li, and Vic Ciesielski. Multi-objective techniques in genetic programming for evolving classifiers. In Proceedings of the 2005 Congress on Evolutionary Computation (CEC2005), pages 1141-1148. IEEE Press, September 2005.

[52]
Brian Lam and Vic Ciesielski. Applying Genetic Programming to Learn Spatial Differences Between Textures Using A Translation Invariant Representation. In Proceedings of the 2005 Congress on Evolutionary Computation (CEC2005), pages 2202-2209. IEEE Press, September 2005.

[53]
Xiang Li and Vic Ciesielski. An analysis of explicit loops in genetic programming. In Proceedings of the 2005 Congress on Evolutionary Computation (CEC2005, pages 2522-2529. IEEE Press, September 2005.

[54]
Vic Ciesielski, Andrew Innes, Sabu John, and John Mamutil. Understanding evolved genetic programs for a real world object detection problem. In M. Keijzer et al., editor, Proceedings of the 8th European Conference on Genetic Programming (EuroGP 2005), LNCS 3447, pages 351-360. Springer-Verlag, March 2005. (PDF, 1175418 bytes)

[55]
Vic Ciesielski and Xiang Li. Analysis of genetic programming runs. In R. McKay, editor, Asia-Pacific Workshop on Genetic Programming, December 2004. (PDF, 4671205 bytes)

[56]
Xiang Li and Vic Ciesielski. Using loops in genetic programming for a two class binary image classification problem. In G. Webb and X. Yu, editors, Proceedings of the 2004 Australian Joint Conference on Artificial Intelligence, Lecture Notes in Artificial Intelligence 3339, pages 898-909. Springer, December 2004. (PDF, 241506 bytes)

[57]
Andrew Innes, Vic Ciesielski, John Mamutil, and Sabu John. Reducing false alarms using genetic programming in object detection. In Hamid Arabnia, editor, Proceedings of the 2004 International Conference on Artificial Intelligence (IC-AI'04), pages 569-574, June 2004. (PDF, 183765 bytes)

[58]
Brian Lam and Vic Ciesielski. Discovery of human competitive image texture feature extraction programs using genetic programming. In Kalyanmoy Deb et al., editor, Proceedings of the Conference on Genetic and Evolutionary Computation (GECCO2004), volume 2, pages 1114-1125. Springer, June 2004. (PDF, 332343 bytes)

[59]
Andy Song and Vic Ciesielski. Texture analysis by genetic programming. In Garrison Greenwood, editor, Proceedings of the 2004 Congress on Evolutionary Computation (CEC2004), volume 2, pages 2092-2099. IEEE, June 2004. (PDF, 295092 bytes)

[60]
Andrei Bajurnow and Vic Ciesielski. Layered learning for evolving goal scoring behaviour in soccer players. In Garrison Greenwood, editor, Proceedings of the 2004 Congress on Evolutionary Computation (CEC2004), volume 2, pages 1828-1835. IEEE, June 2004. (PDF, 136533 bytes)

[61]
Vic Ciesielski and Xiang Li. Experiments with explicit for-loops in genetic programming. In Garrison Greenwood, editor, Proceedings of the 2004 Congress on Evolutionary Computation (CEC2004), volume 1, pages 494-503. IEEE, June 2004. (PDF, 277713 bytes)

[62]
Yaniv Bernstein, Xiaodong Li, Vic Ciesielski, and Andy Song. Multiobjective parsimony enforcement for superior generalisation performance. In Garrison Greenwood, editor, Proceedings of the 2004 Congress on Evolutionary Computation (CEC2004), volume 1, pages 83-89. IEEE, June 2004. (PDF, 416111 bytes)

[63]
Mengjie Zhang and Victor Ciesielski. Neural networks and genetic algorithms for domain independent multiclass object detection. International Journal of Computational Intelligence and Applications, 4(1):77-108, March 2004.

[64]
Jeff Riley and Vic Ciesielski. Evolution of fuzzy rule based controllers for dynamic environments. In Kay Chen Tan, Meng Hiot Lim, Xin Yao, and Lipo Wang, editors, Recent Advances in Simulated Evolution and Learning, volume 2 of Advances in Natural Computation, chapter 23, pages 426-445. World Scientific, 2004.

[65]
George Mitri, Alexandra Uitdenbogerd, and Vic Ciesielski. Automatic music classification problems. In Vladimir Estivill-Castro, editor, Proceedings of the 27th Australian Computer Science Conference (ACSC2004), pages 315-322. Australian Computer Society, January 2004.

[66]
Michael Ismail and Vic Ciesielski. An empirical investigation of the impact of discretization on common data distributions. In Ajith Abraham, Mario Koppen, and Katrin Franke, editors, Proceedings of the Third International Conference on Hybrid Intelligent Systems (HIS'03): Design and Application of Hybrid Intelligent Systems, pages 692-701. IOS Press, December 2003. (PDF, 91228 bytes)

[67]
Vic Ciesielski and Anand Lalani. Data mining of web access logs from an academic web site. In Ajith Abraham, Mario Koppen, and Katrin Franke, editors, Proceedings of the Third International Conference on Hybrid Intelligent Systems (HIS'03): Design and Application of Hybrid Intelligent Systems, pages 1034-1043. IOS Press, dec 2003. (PDF, 96821 bytes)

[68]
Andy Song and Vic Ciesielski. Fast texture segmentation using genetic programming. In Sarker R. et al., editor, Proceedings of the 2003 Congress on Evolutionary Computation (CEC2003), volume 3, pages 2126-2133. IEEE Press, December 2003. (PDF, 206389 bytes)

[69]
Vic Ciesielski and Xiang Li. Pyramid search: Finding solutions for deceptive problems quickly in genetic programming. In Sarker R. et al., editor, Proceedings of the 2003 Congress on Evolutionary Computation (CEC2003), volume 2, pages 936-943. IEEE Press, December 2003. (PDF, 101175 bytes)

[70]
Vic Ciesielski, Andrew Innes, John Mamutil, and Sabu John. Landmark detection for cephalometric radiology images using genetic programming. International Journal of Knowledge Based Intelligent Engineering Systems, 7(3):164-171, July 2003. (PDF, 151995 bytes)

[71]
Andrew Innes, Vic Ciesielski, John Mamutil, and Sabu John. Finding templates for cephalometric landmark detection using pulse coupled neural networks and genetic programming. In Hamid Arabnia and Youngsong Mun, editors, Proceedings of the International Conference on Imaging Science, Systems and Technology (CISST'03), volume II, pages 511-517, Las Vegas, June 2003. CSREA Press. (PDF, 241816 bytes)

[72]
Mengjie Zhang, Victor Ciesielski, and Peter Andreae. A domain-independent window approach to multiclass object detection using genetic programming. EURASIP Journal on Applied Signal Processing, Special Issue on Genetic and Evolutionary Computation for Signal Processing and Image Analysis, 2003(8):841-859, July 2003.

[73]
Andrew Innes, Vic Ciesielski, John Mamutil, Sabu John, and Alan Harvey. Landmark detection for cephalometric radiology images using genetic programming. In Ruhul Sarker, Bob McKay, Mitsuo Gen, and Akira Namatame, editors, Proceedings of the 6th Australia-Japan Joint Workshop on Intellignet and Evolutionary Systems, pages 125-132, Canberra, November 2002. (PDF, 398326 bytes)

[74]
Peter McDonald and Victor Ciesielski. Design and evaluation of an algorithm animation of state space search methods. Computer Science Education, 12(4):301-324, Dec 2002.

[75]
Thomas Loveard and Vic Ciesielski. Genetic programming for classification: An analysis of convergence behaviour. In Bob McKay and John Slaney, editors, Proceedings of the 15th Australian Joint Conference on Artificial Intelligence (AI2002), Lecture Notes in Computer Science 2557, pages 309-320, Canberra, December 2002. Springer. (PDF, 177840 bytes)

[76]
Thomas Loveard and Vic Ciesielski. Employing nominal attributes in classification using genetic programming. In Lipo Wang, Kay Chen Tan, Takeshi Furuhashi, Jong-Hwan Kim, and Xin Yao, editors, Proceedings of the 4th Asia-Pacific Conference on Simulated Evolution And Learning (SEAL02), pages 487-491, Singapore, November 2002. IEEE. (PDF, 78096 bytes)

[77]
Jeff Riley and Vic Ciesielski. Evolving fuzzy rules for reactive agents in dynamic environments. In Lipo Wang, Kay Chen Tan, Takeshi Furuhashi, Jong-Hwan Kim, and Xin Yao, editors, Proceedings of the 4th Asia-Pacific Conference on Simulated Evolution And Learning (SEAL02), pages 124-130, Singapore, November 2002. IEEE. (PDF, 472475 bytes)

[78]
Andy Song and Vic Ciesielski. Texture classifiers generated by genetic programming. In Xin Yao, editor, Proceedings of the 2002 Congress on Evolutionary Computation, volume 1, pages 243-248, Honolulu, May 2002. IEEE.

[79]
Vic Ciesielski and Dylan Mawhinney. Prevention of early convergence in genetic programming by replacement of similar programs. In Xin Yao, editor, Proceedings of the 2002 Congress on Evolutionary Computation, volume 1, pages 67-72, Honolulu, May 2002. IEEE.

[80]
Andrew Innes, Vic Ciesielski, John Mamutil, and Sabu John. Landmark detection for cephalometric radiology images using pulse coupled neural networks. In Hamid Arabnia and Youngsong Mun, editors, Proceedings of the International Conference on Artificial Intelligence (IC-AI'02), volume 2, pages 511-517, Las Vegas, June 2002. CSREA Press.

[81]
Vic Ciesielski and Shi Yoon Lai. Developing a dribble-and-score behaviour for robot soccer using neuro evolution. In Peter Wigham, editor, Proceedings of the 5th Australia-Japan Joint Workshop on Intellignet and Evolutionary Systems, pages 70-78, Dunedin, New Zealand, November 2001. University of Otago and Ashikaga Institute of Technology. (PDF, 131460 bytes)

[82]
Vic Ciesielski, Dylan Mawhinney, and Peter Wilson. Genetic programming for robot soccer. In Andreas Birk, Silvia Coradeschi, and Satoshi Tadokoro, editors, Proceedings of the RoboCup 2001 International Symposium, Lecture Notes in Artificial Intelligence 2377, pages 319-324. Springer, 2002. (PDF, 268976 bytes)

[83]
Thomas Loveard and Vic Ciesielski. Representing classification problems in genetic programming. In Jong-Hwan Kim, editor, Proceedings of the 2001 Congress on Evolutionary Computation, pages 1070-1077, Seoul, South Korea, May 2001. IEEE. (Gzipped PostScript, 8 pages, 42839 bytes)

[84]
Andy Song, Thomas Loveard, and Vic Ciesielski. Towards genetic programming for texture classification. In Markus Sumpter, Dan Corbett, and Mike Brooks, editors, AI 2001: Advances in Artificial Intelligence, Proceedings of the 14th Australian Joint Conference on Artificial Intelligence,Lecture Notes in Artificial Intelligence 2256, pages 461-472, Berlin, December 2001. Springer-Verlag. (Gzipped PostScript, 12 pages, 305417 bytes)

[85]
Kate Smith, Victor Ciesielski, Frederick Woo, and Remzi Ibrahim. Modelling the relationship between problem characteristics and data mining algorithm performance using neural networks. In Cihan Dagli, editor, Intelligent Engineering Systems Through Artificial Neural Networks, volume 11, pages 356-362, New York, November 2001. ASME Press. (PDF, 74647 bytes)

[86]
Andy Song, Victor Ciesielski, and Peter Rogers. Vision system development by machine learning: Mashing assessment in brewing. Applied Intelligence, Special Issue on Machine Learning in Computer Vision, 15(8):777-795, September 2001. (PDF, 476048 bytes)

[87]
Vic Ciesielski and Peter McDonald. Using animation of state space algorithms to overcome student learning difficulties. In David Finkel, editor, Proceedings of the 6th Annual Conference on Innovation and Technology in Computer Science Education (ITICSE2001, pages 97-100, Canterbury, UK, June 2001. ACM.

[88]
Victor Ciesielski and Peter Wilson. Developing a team of soccer playing robots by genetic programming. In Bob Mckay, Yasuhiro Tsujimura, Ruhul Sarker, Akira Namatame, Xin Yao, and Mitsuo Gen, editors, Proceedings of The Third Australia-Japan Joint Workshop on Intelligent and Evolutionary Systems, pages 101-108, Canberra, November 1999. Australian Defence Force Academy, School of Computer Science. (Gzipped PostScript, 8 pages, 92581 bytes)

[89]
Mengjie Zhang and Victor Ciesielski. Genetic programming for multiple class object detection. In Norman Foo, editor, Proceedings of the 12th Australian Joint Conference on Artificial Intelligence, volume 1747, Lecture Notes in Artificial Intelligence, pages 180-191. Springer, Heidelberg, Dec 1999. (PDF, 257576 bytes)

[90]
Mengjie Zhang and Victor Ciesielski. Using the back propagation algorithm and genetic algorithms to train and refine neural networks for object detection. In T. Bench-Capon, G. Soda, and A.M. Tjoa, editors, Proceedings of 10th International Conference and Workshop on Database and Expert Systems Applications (DEXA99), volume 1677, Lecture Notes in Computer Science, pages 626-635. Springer, Heidelberg, Aug 1999. (Gzipped PostScript, 10 pages, 288763 bytes)

[91]
Victor Ciesielski and Mengjie Zhang. Using genetic algorithms to improve the accuracy of object detection. In Ning Zhong and Lizhu Zhou, editors, Knowledge Discovery and Data Mining --- Research and Practical Experiences. The Third Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD-99), pages 19-24. Tsinghua University Press, Apr 1999. (Gzipped PostScript, 6 pages, 985470 bytes)

[92]
Mengjie Zhang and Victor Ciesielski. Centred weight initialization in neural networks for object detection. In Jenny Edwards, editor, Proceedings of the 22nd Australasian Computer Science Conference, pages 39-50, Singapore, Jan 1999. Springer. (PDF, 258806 bytes)

[93]
Mengjie Zhang and Victor Ciesielski. Weight initialization for pixel based neural networks for object detection. Technical Report 1998-8, RMIT, Department of Computer Science, Mar 1998.

[94]
Victor Ciesielski and Jeff Riley. An evolutionary approach to training feed forward and recurrent neural networks. In L. C. Jain and R. K. Jain, editors, Proceedings of the Second International Conference on Knowledge Based Intelligent Electronic Systems (KES'98, pages 596-602, Adelaide, April 1998. IEEE. (PDF, 105497 bytes)

[95]
Victor Ciesielski and Paul Scerri. Real time genetic scheduling of aircraft landing times. In David Fogel, editor, The IEEE International Conference on Evolutionary Computation (ICEC98), pages 360-364, Anchorage, May 1998. (PDF, 161633 bytes)

[96]
Victor Ciesielski and Paul Scerri. An anytime algorithm for scheduling of aircraft landing times using genetic algorithms. Australian Journal of Intelligent Information Processing Systems, 4(3/4):206-213, Spring/Summer (Southern Hemisphere) 1997. (Gzipped PostScript, 8 pages, 65074 bytes)

[97]
Victor Ciesielski and Geoff Woods. Genetic algorithms that adapt to binary and real coded operators. Technical Report 97-19, RMIT, Department of Computer Science, Dec 1997.

[98]
Victor Ciesielski and Geoff Woods. Genetic algorithms that adapt to binary and real coded operators. In Workshop on Evolutionary Computation, Australian Artificial Intelligence Conference, page (Accepted), Perth, 1997.

[99]
Victor Ciesielski and Paul Scerri. Real time genetic scheduling of aircraft landing times. In Xin Yao, Mitsuo Gen, Yasuhiro Tsujimura, and Robert McKay, editors, Proceedings of The First Australia-Japan Joint Workshop on Intelligent and Evolutionary Systems, pages 55-64, Canberra, November 1997. Australian Defence Force Academy, School of Computer Science.

[100]
Vladimir Brusic, Christian Schonbach, Masafumi Takiguchi, Victor Ciesielski, and Leonard Harrison. Application of Genetic Search in the Derivation of Matrix Models of Peptide Binding to MHC Molecules . In Terry Gaasterland, Peter Karp, Kevin Karplus, Christos Ouzounis, Chris Sanders, and Alfonso Valencia, editors, Proceedings of the Fifth International Conference on Intelligent Systems for Molecular Biology, pages 75-83, Menlo Park, California, June 1997. AAAI Press. (Gzipped PostScript, 9 pages, 61130 bytes)

[101]
Honhua Dai, James Liu, and Victor Ciesielski. An analysis of criteria for the evaluation of learning performance. In V. L. Narasimhan and L. C. Jain, editors, Proceedings of The Fourth Australian and New Zealand International Conference On Intelligent Information Systems, pages 84-87, Adelaide, November 1996. IEEE.

[102]
Victor Ciesielski and Greg Palstra. Using a hybrid neural/expert system to determine the effectiveness of advertising. In F. Burstein, H. Linger, and H. Smith, editors, Proceedings of the Workshop on Intelligent Decision Support (IDS96), pages 26-31, Monash University, September 1996. Department of Information Systems. Invited Paper.

[103]
Victor Ciesielski and Greg Palstra. Using a hybrid neural/expert system for data base mining in market survey data. In E. Simoudis, J. Han, and U. Fayyad, editors, Proceedings of the Second International Conference on Knowledge Discovery (KDD-96), pages 36-43, Menlo Park, Ca., August 1996. AAAI Press. (Gzipped PostScript, 6 pages, 45672 bytes)

[104]
Victor Ciesielski. Boundary points do not improve the accuracy of neural net classifiers. In Xin Yao, editor, Proceedings of the Eighth Australian Joint Conference on Artificial Intelligence, pages 163-170, Canberra, November 1995. World Scientific. (Gzipped PostScript, 8 pages, 272497 bytes)

[105]
Victor Ciesielski. (Invited Keynote Address) A Hybrid Neural/Symbolic Architecture and a Class of Problems Well Suited To It. In Eighth International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems, Melbourne, June 1995. The International Society of Applied Intelligence.

[106]
Steven Hayes and Victor Ciesielski. Neural network constructed templates for the recognition of cyclones. In Proceedings of the Fifth Australian Neural Networks Conference, February 1995.

[107]
Rasha Abbas and Victor Ciesielski. Off-line signature verification with neural networks. In Proceedings of the Fifth Australian Neural Networks Conference, Sydney, February 1995.

[108]
Michael McCartney, Russell Eberhart, and Victor Ciesielski. Progress report on SABRINA: Using neural networks to detect coughs. Technical report, Research Triangle Institiute, North Carolina, Department of Biomedical Engineering, 1994.

[109]
Victor Ciesielski. Speeding up the training of neural networks for image classification by the use of genetic algorithms. Technical report, RMIT, Department of Computer Science, 1994.

[110]
Victor Ciesielski and Honghua Dai. FISHERMAN: a comprehensive discovery, learning and forecasting system. In Looi Chee Kit, editor, Proceedings of the Second Singapore Conference on Intelligent Systems, pages B297(1)--B297(6), Singapore, November 1994. Asia Computer Weekly.

[111]
Honghua Dai and Victor Ciesielski. Learning of inexact rules by the fish-net algorithm from low quality data. In Chengqi Zhang, John Debenham, and Dickson Lukose, editors, Proceedings of the Eighth Australian Joint Artificial Intelligence Conference, pages 108-115, Singapore, 1994. World Scientific. (Gzipped PostScript, 8 pages, 59570 bytes)

[112]
Victor Ciesielski. A hybrid architecture and a class of problems well suited to it. In Sabrina Sestito, editor, Workshop on Hybrid Systems and Their Application, pages 39-40, Melbourne, Nov 1993. Sixth Australian Artificial Intelligence Conference.

[113]
Victor Ciesielski and John Spicer. Embedded neural networks and expert systems in the diagnostic microbiology laboratory. IEEE Expert, Special Issue on Embedded AI Systems, 2(3):42-48, June 1994. (PDF, 2190456 bytes)

[114]
James Smith and Victor Ciesielski. Using kohonen networks for detecting cold fronts and sea breezes. Technical Report 93/4, RMIT, Department of Computer Science, March 1993.

[115]
Rajendra Krishnan and Victor Ciesielski. 2DELTA-GANN: a new approach to using genetic algorithms to train neural networks. In A. C. Tsoi, editor, Proceedings of the Fifth Australian Neural Networks Conference, pages 38-41, University of Queensland, Brisbane, Feb 1994. (PDF, 79021 bytes)

[116]
Victor Ciesielski and Tak Ho. The synergistic combination of neural and symbolic computation in the recognition of words degraded by noise. In C. Rowles, H. Liu, and N. Foo, editors, Proceedings of the Sixth Australian Joint Artificial Intelligence Conference, pages 131-136, Melbourne, 1993. World Scientific. (Gzipped PostScript, 8 pages, 72862 bytes)

[117]
Maureen Molloy, Wilson X. Wen, Victor Ciesielski, and Andrew Jennings. Neuropsychological diagnosis using a neural network. In Proceedings of the Second Australian Cognitive Science Conference, Melbourne, pages 37-39, Feb 3-5, 1993.

[118]
Honghua Dai, Victor Ciesielski, and Zhuopeng Feng. Successive constrained discovery of forecasting rules from very large data bases. In Proceedings of the Third International Computer Conference for Young Scientists, ICYCS'93, Beijing, China, pages 10.12-10.15, July 15-17, 1993.

[119]
Honghua Dai and Victor Ciesielski. A knowledge based successive constrained discovery algorithm for large noisy data bases. In Poster Summaries of the 5th Joint Australian Conference on Artificial Intelligence, page 10, Hobart, Tasmania, 1992.

[120]
Victor Ciesielski, Steven Hayes, and William Kelly. Comparison of an expert system and a hybrid network/expert system for a respiratory monitoring problem. In R. Sun, editor, Proceedings of the AAAI92 Workshop on Integrating Connectionist and Symbolic Processing, pages 91-92, San Jose, California, 1992.

[121]
Steven Hayes, Victor Ciesielski, and William Kelly. A combined neural network and expert system for respiratory system monitoring. In Poster Summaries of the 5th Joint Australian Conference on Artificial Intelligence, page 3, Hobart, Tasmania, 1992.

[122]
Honghua Dai and Victor Ciesielski. The application of machine learning and machine discovery to atmospheric science. In The procedings of The 4th International Summer Colloquium and the International Symposium on Climate, Environmental and Geophysical Fluid Dynamics, pages 1-446-1-462, Beijing, China, July 1992. The Institute of Atmospheric Physics, Academia Sinica.

[123]
Victor Ciesielski and Jihan Zhu. A very reliable method for detecting bacterial growths using neural networks. In Proceedings of the International Joint Conference on Neural Networks, pages 62-67, Beijing, Nov 1992. (PDF, 1148290 bytes)

[124]
Jihan Zhu and Victor Ciesielski. A comparison of image processing techniques and neural networks on the problem of detecting bacterial growths. In Proceedings of the Second International Computer Science Conference: Data and Knowledge Engineering, Theory and Applications, pages 488-494, Hong Kong, Dec 1992.

[125]
Victor Ciesielski, Jihan Zhu, John Spicer, and Claire Franklin. A comparison of image processing techniques and neural networks for an automated visual inspection problem. In Anthony Adams and Leon Sterling, editors, Proceedings of the 5th Joint Australian Conference on Artificial Intellignece, pages 147-152, Hobart, Tasmania, 1992. World Scientific. (PDF, 847110 bytes)

[126]
Victor Ciesielski. Selecting expert system tools for real time monitoring. In Invited Talk, Australian Medical Informatics Association Conference on Current Trends in Medical Informatics, Melbourne, 1991.

[127]
Steven Hayes and Victor Ciesielski. A comparison of an expert system and a neural network for respiratory system monitoring. Technical Report 92/1, Department of Computer Science, RMIT, Dec 1991. (Gzipped PostScript, 23 pages, 72305 bytes)

[128]
Michael Coulthard and Victor Ciesielski. An expert system to choose a stress analysis program for rock excavation design. In G. Beer, J. Booker, and J. Carter, editors, Computer Methods and Advances in Geomechanics, pages 51-56. A. A. Balkema, Rotterdam/Brookfield, 1991.

[129]
Glenn Elliot and Victor B. Ciesielski. An expert system for the management of the water quality in the latrobe river. In T. J. Kim, R. Jain, L. L. Wiggins, and J. R. Wright, editors, Expert Systems in Environmental Planning. Springer Verlag, New York, 1991.

[130]
Michael Coulthard and Victor Ciesielski. An expert system to choose a stress analysis program for rock excavation design. In International Conference of the International Association for Computer Methods and Advances in Geomechanics, Cairns International Hotel, May 1991. International Association for Computer Methods and Advances in Geomechanics.

[131]
Victor Ciesielski, Jihan Zhu, John Spicer, and Claire Franklin. Detecting bacterial growths using neural networks. In Analysis of Neural Net Applications Conference, pages Accepted, but not presented, Fairvax, VA, May 1991. George Mason University.

[132]
Victor Ciesielski, Jihan Zhu, John Spicer, and Claire Franklin. Detecting bacterial growths using neural networks. In Proceedings of the 2nd Australian Conference on Neural Networks, Sydney, Feb 1991. University of Sydney.

[133]
Victor B. Ciesielski. Some experiments in the use of expert systems for legislation and regulations. In Proceedings of the Pacific Rim International Conference on Artificial Intelligence 90, pages 95-100, Nagoya, Japan, Nov 1990. Japanese Society for Artificial Intelligence. (Gzipped PostScript, 10 pages, 43282 bytes)

[134]
Michael Pattison and Victor Ciesielski. Using expert systems and conceptual graphs to analyse software licence agreements. In Proceedings of the Fourth Australian Conference on Artificial Intelligence, pages 490-504, Perth, Nov 1990. Australian Computer Society.

[135]
Jihan Zhu, Victor Ciesielski, John Spicer, and Claire Franklin. An analysis of image interpretation techniques for microbiological antibiotic sensitivity testing. In Proceedings of the Symposium of the Image Analysis Society of Australia, page 38, Melbourne, Sep 1990. Image Analysis Society of Australia.

[136]
Michael Pattison and Victor Ciesielski. Using expert systems and conceptual graphs to analyse software licence agreements. Technical Report 22, Key Centre for Knowledge Based Systems, Departments of Computer Science RMIT and the University of Melbourne, May 1990.

[137]
Victor B. Ciesielski. Some experiments in the use of expert systems for legislation and regulations. Technical Report 21, Key Centre for Knowledge Based Systems, Departments of Computer Science RMIT and the University of Melbourne, April 1990.

[138]
Ross Wilkinson, Victor Ciesielski, Ron Sacks-Davis, and Peter Wallis. Using natural language to aid text retrieval. Technical Report 13, Key Centre for Knowledge Based Systems, Departments of Computer Science RMIT and the University of Melbourne, January 1989.

[139]
Ross Wilkinson, Victor Ciesielski, Ron Sacks-Davis, and Peter Wallis. Using natural language to aid text retrieval. In E. Balagurusamy, editor, Artificial Intelligence in Industry and Government, pages 612-626. MacMillan, Delhi, 1989.

[140]
Ross Wilkinson, Ron Sacks-Davis, Peter Wallis, and Victor Ciesielski. Using using syntactic analysis in document retrieval systems. Technical Report 4, Key Centre for Knowledge Based Systems, Departments of Computer Science RMIT and the University of Melbourne, 1988.

[141]
Victor Ciesielski, Karl Reed, and Jacob Cybulski. Experience with a project oriented course in software engineering. In Proc. Australian Software Engineering Conference, Canberra, 1988.

[142]
Mandy Crofts, Victor Ciesielski, Michael Molesworth, Tim Smith, Wayne Jenkins, and Richard Lee. Bridging the gap between prototype and commercial expert system - a case study. In Proc. 4th Australian Conference on Applications of Expert Systems, Sydney, 1988.

[143]
Glenn Elliot and Victor Ciesielski. An expert system for management of water levels in the Latrobe river. In Proc. Symposium on Knowledge Based Systems in Civil Engineering, Melbourne, 1988. Monash University.

[144]
Victor B. Ciesielski. Expert systems: In search of the right applications. Professional Computing, (29), March 1988.

[145]
Victor Ciesielski. Artificial Intelligence: A new dimension for library automation. In Keynote Address, Proc 4th Biennial Conference, Victorian Association for Library Automation, Melbourne, 1987.

[146]
Victor Ciesielski. Expert systems in personnel management. In Conference on Human Resources Management Systems, Institute of Personnel Management of Australia, Melbourne, 1987.

[147]
Gordon Allen, Victor Ciesielski, and Warwick Bolam. Evaluation of an expert system for predicting rain in Melbourne. In Proc. First Australian Artificial Intelligence Congress, pages I6-I17, Melbourne, 1986.

[148]
Gordon Allen, Victor Ciesielski, and Warwick Bolam. Some machine learning techniques for building an expert system for predicting rain in Melbourne. Technical Report 87/17, Royal Melbourne Institute of Technology, Department of Computer Science, 1986.

[149]
Victor Ciesielski. Applications oriented AI research - medicine. In Avron Barr and Edward Feigenbaum, editors, The Handbook of Artificial Intelligence. William Kaufman Inc., Los Altos, 1982.

[150]
Victor Ciesielski. A Methodology for the Construction of Natural Language Front-Endsfor Medical Consultation Systems. Ph. D. Thesis, Rutgers University, New Brunswick, 1980.

[151]
Victor Ciesielski. Constructing natural language front ends for medical medical consultation systems. In Proc. 6th Illinois Conference on Medical Inforamtion Systems, University of Illinois, Urbana-Champaign, 1980.

[152]
Victor Ciesielski, editor. Proceedings of the Fourth AIM (Artificial Intelligence in Medicine) Workshop. Department of Computer Science, Rutgers University, 1979.

[153]
Victor Ciesielski. Natural language input to a computer based glaucoma consultation system. In Proc. 17th Annual Meeting of the Association for Computational Linguistics, La Jolla, 1979.

[154]
Victor Ciesielski. Transferability of computer based educational software. Technical Report 3, University of Melbourne, Centre for the Study of Higher Education, Computers in Education Research Unit, 175.

[155]
Victor Ciesielski. Natural Language Interaction with a Conversational Memeory. M. Sc. Thesis, University of Melbourne, Melbourne, 1972.

[156]
Victor Ciesielski. A computer aided instruction system for small machines. In Proc. Australian Computer Conference, Brisbane, 1971.


Last modified on