Publications

Edited Books

  1. Akiyama, H., Obst, O., Sammut, C., and Tonidandel, F., editors (2018). RoboCup 2017: Robot World Cup XXI. Springer International Publishing.
  2. Sammut, C. and Webb, G. (2017) Encyclopedia of Machine Learning and Data Mining. Second Edition. Springer.
  3. Sammut, C. and Webb, G. (2010) Encyclopedia of Machine Learning. Springer.
  4. Nardi, D., Riedmuller, M. and Sammut, C. (Eds.). (2005). Proceedings of the RoboCup 2004 Symposium: Springer.
  5. Sammut, C. (Ed.). (2005). Proceedings of the Australasian Conference on Robotics and Automation. Sydney: Australian Robotics and Automation Association.
  6. Matwin, S. and Sammut, C. (Eds.). (2003). Inductive Logic Programming: 12th International Conference, ILP2002 (Vol. 2583). Sydney: Springer.
  7. Sammut, C. and Hoffmann, A. (Eds.). (2002). Proceedings of the Nineteenth Internaional Conference on Machine Learning. Sydney: Morgan Kaufmann.
  8. Sammut, C. A. (Ed.). (1989). Proceedings of the Fifth Australian Conference on the Applications of Expert Systems. University of Technology, Sydney.

Book Chapters

  1. Ashar, J., Ashmore, J., Hall, B., Harris, S., Hengst, B., Liu, R., Mei (Jacky), Z., Pag- nucco, M., Roy, R., Sammut, C., Sushkov, O., Teh, B., and Tsekouras, L. (2015). Robocup SPL 2014 champion team paper. In Bianchi, R. A. C., Akin, H. L., Ramamoorthy, S., and Sugiura, K., editors, RoboCup 2014: Robot World Cup XVIII, volume 8992 of Lecture Notes in Computer Science, 70–81. Springer International Publishing.
  2. Brown, S. and Sammut, C. (2013). A Relational Approach to Tool-use Learning in Robots. In Inductive Logic Programming, 1–15. Springer Berlin Heidelberg.
  3. Claude Sammut and Tak Fai Yik (2010) . Multistrategy learning for robot behaviours. In Jacek Koronacki, Zbigniew W Ras, Slawomir T Wierzchon, and Janusz Kacprzyk, editors, Advances in Machine Learning I, volume 262 of Studies in Computational Intelligence, 457–476. Springer.
  4. Bain, M. and Sammut, C. (1999). A framework for behavioural cloning. In Furukawa, K., Michie, D., and Muggleton, S., editors, Machine Intelligence 15, 103–129. Oxford University Press.
  5. Bratko, I., Urbancic, T., and Sammut, C. (1998). Behavioural cloning of control skill. In Michalski, R. S., Bratko, I., and Kubat, M., editors, Machine Learning and Data Mining, 335–351.
  6. McGarity, M., Clements, D., and Sammut, C. (1995). Controlling a steel mill with boxes. In Furukawa, K., Michie, D., and Muggleton, S., editors, Machine Intelligence 14, 303–328. Oxford University Press.
  7. Michie, D. and Sammut, C. (1995). Behavioural clones and cognitive skill mod- els. In Furukawa, K., Michie, D., and Muggleton, S., editors, Machine Intelligence 14, 395–404. Oxford University Press.
  8. Sammut, C. (1994). Knowledge representation. In Michie, D., Speigelhalter, D. J., and Taylor, C. C., editors, Machine Learning, Neural Nets and Statistical Classification, 228–245.
  9. Sammut, C. (1994). Recent progress with boxes. In Furukawa, K., Michie, D., and Muggle- ton, S., editors, Machine Intelligence 13, pages 363–383. Clarendon Press, Oxford.
  10. Sammut, C. A. (1991). Error-tolerant learning systems. In Michie, D. and Hayes-Michie, J., editors, Machine Intelligence 12, pages 169–185.
  11. Grech, A. and Sammut, C. (1987). Qualitative plausible reasoning and assump- tions. In Quinlan, J. R., editor, Applications of Expert Systems. Addison-Wesley.
  12. Sammut, C. A. and Banerji, R. B. (1986). Learning concepts by asking questions. In Michalski, R. S., Carbonell, J., and Mitchell, T., editors, Machine Learning: An Artificial Intelligence Approach, Vol 2, pages 167–192. Morgan Kaufmann, Los Altos, California.

Journals Papers

  1. Cortez, C. A. T., Hitch, M., Sammut, C., Coulton, J., Shishko, R., and Saydam, S. (2018). Determining the embedding parameters governing long-term dynamics of copper prices. Chaos, Solitons & Fractals, 111:186–197.
  2. Cortez, C. T., Saydam, S., Coulton, J., and Sammut, C. (2018). Alternative tech- niques for forecasting mineral commodity prices. International Journal of Mining Science and Technology, 28(2):309–322.
  3. Cortez, C. T., Saydam, S., Coulton, J., and Sammut, C. (2018). Determining the chaotic behaviour of copper prices in the long-term using annual price data. Palgrave Communications, 4(1):8.
  4. Moses, D. A., Dawes, L., Sammut, C., and Zrimec, T. (2018). Peripheral bronchial identification on chest ct using unsupervised machine learning. International Journal of Computer Assisted Radiology and Surgery, 13(9):1379—1395.
  5. Muggleton, S., Dai, W.-Z., Sammut, C., Tamaddoni-Nezhad, A., Wen, J., and Zhou, Z.-H. (2018). Meta-interpretive learning from noisy images. Machine Learning, 107(7):1097 – 1118.
  6. Wicaksono, H. and Sammut, C. (2018). Tool use learning for a real robot. International Journal of Electrical and Computer Engineering (IJECE), 8(2):1230–1237.
  7. Hwong, Y. L., Oliver, C., Van Kranendonk, M., Sammut, C., & Seroussi, Y. (2017). What makes you tick? The psychology of social media engagement in space science communication. Computers in Human Behavior, 68, 480-492.
  8. Maghrebi, M., Periaraj, V., Waller, S. T., and Sammut, C. (2016). Column generation-based approach for solving large-scale ready mixed concrete delivery dispatching problems. Computer-Aided Civil and Infrastructure Engineering. 31(2):149–159.
  9. Maghrebi, M., Waller, S., Sammut, C. (2016). Sequential Meta-Heuristic Approach for Solving Large-Scale Ready-Mixed Concrete-Dispatching Problems', Journal of Computing in Civil Engineering, 30(1), http://dx.doi.org/10.1061/(ASCE)CP.1943-5487.0000453
  10. Maghrebi, M., Waller, S., and Sammut, C. (2016). Matching experts’ decisions in concrete delivery dispatching centers by ensemble learning algorithms: Tactical level. Automation in Construction, 46:146 – 155.
  11. Moses, D., Sammut, C., and Zrimec, T. (2016). Automatic segmentation and analysis of the main pulmonary artery on standard post-contrast CT studies using iterative erosion and dilation. International Journal of Computer Assisted Radiology and Surgery, 11:381–395.
  12. Tapia Cortez CA;Saydam S;Coulton J;Sammut C, 2016, 'Dynamic-cognition of Strategic Mineral Commodities; An Empirical Assessment', International Journal of Geological and Environmental Engineering, vol. 3, pp. 1 - 1, https://www.waset.org/abstracts/36210
  13. Wiley, T., Sammut, C., Hengst, B., and Bratko, I. (2016). A planning and learning hierarchy using qualitative reasoning for the on-line acquisition of robotic behaviors. Advances in Cognitive Systems, 4:93–111.
  14. Maghrebi, M., Sammut, C., and Waller, S. (2015). Feasibility study of automatically performing the concrete delivery dispatching through machine learning techniques. Engineering, Construction and Architectural Management. 22:573–590.
  15. Maghrebi, M., Waller, S., and Sammut, C. (2015). Optimality gap of experts’ decisions in concrete delivery dispatching. Journal of Building Engineering. 2:17–23.
  16. Farid, R. and C. Sammut (2014). Plane-based object categorisation using relational learning. Machine Learning. 94: 3–23.
  17. Maghrebi, M., S. Travis Waller and C. Sammut (2014). "Sequential Meta-Heuristic Approach for Solving Large-Scale Ready-Mixed Concrete-Dispatching Problems." Journal of Computing in Civil Engineering: 04014117–04014117.
  18. Maghrebi, M., C. Sammut and T. Waller (2014). "Predicting the Duration of Concrete Operations Via Artificial Neural Network and by Focusing on Supply Chain Parameters." Building Research Journal. 61: 1–14.
  19. Maghrebi, M., S. Waller and C. Sammut (2014). "Integrated Building Information Modeling (BIM) with Supply Chain and Feed-Forward Control." YBL Journal of Built Environment. 1(2): 25–34.
  20. Sammut, C. (2013). "The Child Machine vs The World Brain." Informatica 37: 3–8.
  21. Maghrebi, M., T. Waller and C. Sammut (2013). Reconstruction of an Expert's Decision Making Expertise in Concrete Dispatching by Machine Learning. Journal of Civil Engineering and Architecture. 7(12): 1540–1547.
  22. Haber, A. and C. Sammut (2012). Towards a Cognitive Architecture for Extended Robot Autonomy. Advances in Cognitive Systems. P. Langley. Palo Alto, CA.
  23. Sammut, C. (2012). "When Do Robots Have to Think?" Advances in Cognitive Systems 1: 73–81.
  24. Jamali, N. and Sammut, C. (2011). Majority voting: Material classification by tactile sensing using surface texture. IEEE Transactions on Robotics, 27(3):508–521.
  25. Milstein, A., McGill, M., Wiley, T., Salleh, R., and Sammut, C. (2011). A method for fast encoder-free mapping in unstructured environments. Journal of Field Robotics. 28(6):817–831.
  26. Claude Sammut. Robot soccer. Wiley Interdisciplinary Reviews: Cognitive Science, 1(6):824–833, 2010.
  27. Claire D’Este and Claude Sammut. Learning and generalising semantic knowledge from object scenes. Robotics and Autonomous Systems, 56(11):891–900, November 2008.
  28. H. Shirazi and C. A Sammut. Acquiring control knowledge from examples using ripple-down rules and machine learning. Iran J Sci Technol B, 32(B3):295–304, Jan 2008.
  29. Potts, D. and C. Sammut (2005). Incremental Learning of Linear Model Trees. Machine Learning 6(1-3): 5-48.
  30. Kadous, M. W. and C. Sammut (2005). Classification of Multivariate Time Series and Structured Data using Constructive Induction. Machine Learning. 58: 179-216.
  31. Wang, Z., Hengst, B., and Sammut, C. (2002). Localisation in an uncertain world with multiple agents. Linköping Electronic Articles in Computer and Information Science, 7(19).
  32. Sammut, C. (2001). Managing context in a conversational agent. Electronic Transactions on Artificial Intelligence, 5(B):189–202. Full paper from Machine Intelligence 18.
  33. Harries, M., Sammut, C., and Horn, K. (1998). Extracting hidden context. Machine Learning, 32(2):101–126.
  34. Sammut, C. (1997). Using background knowledge to build multistrategy learners. Machine Learning, 27:241–257.
  35. Zrimec, T. and Sammut, C. (1997). A medical image understanding system. Engineering Applications of Artificial Intelligence, 10(1):31–39.
  36. Amin, A., Sammut, C., and Sum, K. C. (1996). Learning to recognize hand-printed chinese characters using inductive logic programming. International Journal of Pattern Recognition and Artificial Intelligence, 10(7):829–847.
  37. Sammut, C. (1996). Automatic construction of reactive control systems using symbolic machine learning. Knowledge Engineering Review, 11(1):27–42.
  38. Mulholland, M., Hibbert, D., Haddad, P., and Sammut, C. (1994). The application of the c4.5 classifier to building an expert system for ion chromatography. Chemometrics and Intelligent Laboratory Systems. 27(1):95-104.
  39. Hauser, T., Kraegen, E. W., Campbell, L. V., Compton, P., Sammut, C. A., and Chislom, D. J. (1992). Assessment of expertos approach to insulin therapy and development of a simulator for diabetes insulin adjustment. Diabetes Care, 15(2):221–231.
  40. Sammut, C. and Michie, D. (1991). Controlling a ’black-box’ simulation of a spacecraft. AI Magazine, 12(1):56–63.
  41. Sammut, C. A. (1985). Concept development for expert system knowledge bases. Australian Computer Journal, 17(1):49–55.
  42. Sammut, C. A. and Sammut, R. A. (1983a). The implementation of UNSW prolog. Australian Computer Journal, 15(2).
  43. Sammut, R. A. and Sammut, C. A. (1983b). Prolog: A tutorial introduction. Australian Computer Journal, 15(2).
  44. Cohen, B. L. and Sammut, C. A. (1982). Object recognition and concept learning with CONFUCIUS. Pattern Recognition Journal, 15(4):309–316.
  45. Cohen, B. and Sammut, C. (1980). Learning concepts in complex environments. Australian Computer Science Communications, 2(1):13–23.
  46. Cohen, B. L. and Sammut, C. A. (1978). Confucius: A structural concept learning system. Australian Computer Journal, 10(4):138–144.

Refereed Conferences

  1. Wiley, T., Bratko, I., and Sammut, C. (2018). A machine learning system for controlling a rescue robot. In Akiyama, H., Obst, O., Sammut, C., and Tonidandel, F., editors, RoboCup 2017: Robot World Cup XXI, pages 108–119, Cham. Springer International Publishing.
  2. Wicaksono, H. and Sammut, C. (2017). Towards explainable tool creation by a robot. In Aha, D., Darrell, T., Pazzani, M., Reid, D., Sammut, C., and Stone, P., editors, IJCAI 2017 Workshop on Explainable Artificial Intelligence (XAI), pages 63–67, Melbourne, Australia.
  3. Hengst, B., Keith, C., Pagnucco, M., Rajaratnam, D., Robinson, P., Sammut, C., and Thielscher, M. (2016). A framework for integrating symbolic and sub-symbolic representations. In 25th International Joint Conference on Artificial Intelligence IJCAI-16. New York, New York, USA.
  4. Rajaratnam, D., Hengst, B., Pagnucco, M., Sammut, C., & Thielscher, M. (2016). Composability in cognitive hierarchies. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 9992 LNAI, 42-55. Hobart, TAS, Australia. doi:10.1007/978-3-319-50127-7_4
  5. Wicaksono, H., & Sammut, C. (2016). Relational Tool Use Learning by a Robot in a Real and Simulated World. In Australasian Conference on Robotics and Automation 2016. Brisbane, Australia. Retrieved from http://www.araa.asn.au/acra/acra2016/papers/pap125s1.pdf
  6. Ashar, J., Ashmore, J., Hall, B., Harris, S., Hengst, B., Liu, R., Mei (Jacky), Z., Pag- nucco, M., Roy, R., Sammut, C., Sushkov, O., Teh, B., and Tsekouras, L. (2015). Robocup SPL 2014 champion team paper. In Bianchi, R. A. C., Akin, H. L., Ramamoorthy, S., and Sugiura, K., editors, RoboCup 2014: Robot World Cup XVIII, volume 8992 of Lecture Notes in Computer Science, pages 70–81. Springer International Publishing.
  7. Ratter, A. and Sammut, C. (2015). Fused 2D/3D position tracking for robust SLAM on mobile robots. In IEEE/RSJ International Conference on Intelligent Robots and Systems, Hamburg, Germany. 1962-1969.
  8. Sammut, C., Sheh, R., Haber, A., and Wicaksono, H. (2015). The Robot Engineer. In Short Paper Proceedings of the 25th International Conference on Inductive Logic Programming.
  9. Wiley, T., Sammut, C., Hengst, B., and Bratko, I. (2015). A multi-strategy architecture for on-line learning of robotic behaviours using qualitative reasoning. In Proceedings of the Third Annual Conference on Advances in Cognitive Systems, 1–16, Atlanta, USA.
  10. Wiley, T., C. Sammut and I. Bratko (2014). Qualitative Simulation with Answer Set Programming. European Conference on Artificial Intelligence. Prague: 915 – 920.
  11. Wiley, T., C. Sammut and I. Bratko (2014). Qualitative planning with quantitative constraints for online learning of robotic behaviours. AAAI Conference on Artificial Intelligence, AI Access Foundation. 4: 2578–2584.
  12. Maghrebi, M., V. Periaraj, S. Waller and C. Sammut (2014). Using Benders Decomposition for Solving Ready Mixed Concrete Dispatching Problems. 2014 Proceedings of the 31st ISARC.
  13. Maghrebi, M., V. Periaraj, S. Waller and C. Sammut (2014). Solving Ready-Mixed Concrete Delivery Problems: Evolutionary Comparison between Column Generation and Robust Genetic Algorithm. Computing in Civil and Building Engineering (2014). R. Issa, ASCE.
  14. Maghrebi, M., D. Rey, S. Waller and C. Sammut (2014). Reducing the Number of Decision Variables in Ready Mixed Concrete for Optimally Solving Small Instances in a Practical Time. Proceedings CSCE 2014 General Conference, Canadian Society for Civil Engineering. 8 pages.
  15. Maghrebi, M., S. Waller and C. Sammut (2014). Scheduling Concrete Delivery Problems by a Robust Meta Heuristic Method. 7th European Modelling Symposium on Mathematical Modelling and Computer Simulation, IEEE: 375--380.
  16. Maghrebi, M., S. Waller and C. Sammut (2014). Scheduling Concrete Delivery Problems by a Robust Meta Heuristic Method. 7th European Modelling Symposium on Mathematical Modelling and Computer Simulation, IEEE: 354--359.
  17. Brown, S. and C. Sammut (2013). A Relational Approach to Tool-use Learning in Robots. Inductive Logic Programming, Springer Berlin Heidelberg: 1–15.
  18. Ratter, A. and C. Sammut (2013). GPU Accelerated Parallel Occupancy Voxel Based ICP for Position Tracking. Proceedings of the 2013 Australasian Conference on Robotics & Automation, Australian Robotics and Automation Association. 8 pages.
  19. Ratter, A., C. Sammut and M. McGill (2013). GPU Accelerated Graph SLAM and Occupancy Voxel Based ICP for Encoder-Free Mobile Robots. IEEE/RSJ International Conference on Intelligent Robots and Systems. Tokyo: 1–8.
  20. Wiley, T., C. Sammut and I. Bratko (2013). Planning with Qualitative Models for Robotic Domains. Second Annual Conference on Advances in Cognitive Systems. 252-266.
  21. Wiley, T., C. Sammut and I. Bratko (2013). Using Planning with Qualitative Simulation for Multi-Strategy Learning of Robotic Behaviours. 27th International Workshop on Qualitative Reasoning. M. Bhatt, P. Struss and C. Freksa. Bremen: 24–30.
  22. Maghrebi, M., T. Waller and C. Sammut (2013). Integrated Building Information Modeling (BIM) with Supply Chain and Feed-Forward Control. Creative Construction. Budapest: 483–494.
  23. Brown, S. and C. Sammut (2012). A Relational Approach to Tool-Use Learning in Robots. International Conference on Inductive Logic Programming. Dubrovnik. 15 pages.
  24. Farid, R. and C. Sammut (2012). Plane-based Object Categorization using Relational Learning. International Conference on Inductive Logic Programming. Dubrovnik.
  25. Haber, A., M. McGill and C. Sammut (2012). jmeSim: An Open Source, Multi Platform Robotics Simulator. Proceedings of Australasian Conference on Robotics and Automation. Victoria University of Wellington, New Zealand. 8 pages.
  26. Maghrebi, M., T. Waller and C. Sammut (2012). Reconstruction of an Expert's Decision Making Expertise in Concrete Dispatching by Machine Learning. ASCE 2nd International Conference for Sustainable Design, Engineering and Construction. Forth Worth, Texas.
  27. McGill, M., R. Salleh, T. Wiley, A. Ratter, R. Farid, C. Sammut and A. Milstein (2012). Virtual Reconstruction Using an Autonomous Robot. International Conference on Indoor Positioning and Indoor Navigation. 8 pages.
  28. Sun, C., D. Stirling, C. Ritz and C. Sammut (2012). Variance-wise Segmentation for a Temporal-Adaptive SAX. Australasian Data Mining Conference. 71-78.
  29. Sushkov, O. O. and C. Sammut (2012). Active Robot Learning of Object Properties. IEEE/RSJ International Conference on Intelligent Robots and Systems. E. Guglielmelli.
  30. Wiley, T., M. McGill, A. Milstein, R. Salleh and C. Sammut (2012). Spatial Correlation of Multi-sensor Features for Autonomous Victim Identification. RoboCup 2011: Robot Soccer World Cup XV. Graz, Austria: 538–549.
  31. Jamali, N. and Sammut, C. (2012). Slip prediction using hidden Markov models: Multidimensional sensor data to symbolic temporal pattern learning. In IEEE International Conference on Robotics and Automation.
  32. Brown, S. and Sammut, C. (2011). Learning tool use in robots. In Langley, P., editor, Advances in Cognitive Systems, Arlington, Virginia. 58-65.
  33. Milstein, A., McGill, M. J., Wiley, T. C., Salleh, R., and Sammut, C. (2011). Occupancy voxel metric based iterative closest point for position tracking in 3D environments. In IEEE International Conference on Robotics and Automation. 4048-4053.
  34. Sheh, R., Hengst, B., and Sammut, C. (2011). Behavioural cloning for driving robots over rough terrain. In International Conference on Intelligent Robots and Systems (IROS), pages 732–737, San Francisco, CA.
  35. Sheh, R. and Sammut, C. (2011). Simulating range cameras for complex terrain robot mobility. In IEEE International Symposium on Safety, Security, and Rescue Robotics, Kyoto.
  36. Sushkov, O. and Sammut, C. (2011). Feature segmentation for object recognition using robot manipulation. In Australasian Conference on Robotics and Automation. 8 pages.
  37. O. Sushkov and C. Sammut. Local image feature matching for object recognition. In International Conference on Control, Automation, Robotics and Vision, 2010.
  38. N. Jamali and C. Sammut. Material classification by tactile sensing using surface textures. In International Conference on Robotics and Automation, pages 2336–2341, 2010.
  39. J. Ashar, D. Claridge and B. Hall, B. Hengst, H. Nguyen, M. Pagnucco, A. Ratter, S. Robinson, C. Sammut, B. Vance, B. White, and Y. Zhu. RoboCup Standard Platform League – rUNSWift 2010. In Twelfth Australasian Conference on Robotics and Automation, 2010.
  40. Nawid Jamali and Claude Sammut. Texture recognition by tactile sensing. In Australasian Conference on Robotics and Automation, 2009. 8 pages.
  41. Raymond Sheh, Adam Milstein, Matthew McGill, Rudino Saleh, Bernhard Hengst, and Claude Sammut. Semi-autonomous robots for RoboCup rescue. In Australasian Conference on Robotics and Automation, 2009. 8 pages.
  42. Yik, T. F. and C. Sammut (2007). Trial-and-Error Learning of a Biped Gait Constrained by Qualitative Reasoning. Australasian Conference on Robotics and Automation. M. Srinivasan and M. Dunbabin. Brisbane. 8 pages.
  43. Sheh, R., K. M.W., C. Sammut and B. Hengst (2007). Extracting Terrain Features from Range Images for Autonomous Random Stepfield Traversal. IEEE International Conference on Safety, Security and Rescue Robotics. D. Nardi. Rome. 6 pages.
  44. Sammut, C., W. Kadous and R. Sheh (2007). Learning to Drive Over Rough Terrain. International Symposium on Skill Science. K. Furukawa. Tokyo.
  45. Rudzyn, B., W. Kadous and C. Sammut (2007). Real time robot audition system incorporating both 3D sound source localisation and voice characterisation. International Conference on Robotics and Automation.
  46. Brown, S. and C. Sammut (2007). An architecture for tool use and learning in robots. Australasian Conference on Robotics and Automation. 8 pages.
  47. Sheh, R., N. Jamali, M. W. Kadous and C. Sammut (2006). A Low-Cost, Compact, Lightweight 3D Range Sensor. Australasian Conference on Robotics and Automation 2006. B. MacDonald. Auckland, Australian Association for Robotics and Automation. 8 pages.
  48. Kadous, W., R. Sheh and C. Sammut (2006). Effective User Interface Design for Rescue Robotics. Human-Robot Interaction. Salt Lake City, Utah, USA: 250-257.
  49. Kadous, W., C. Sammut and R. Sheh (2006). Autonomous Traversal of Rough Terrain Using Behavioural Cloning. The 3rd International Conference on Autonomous Robots and Agents. 6 pages.
  50. Kadous, M. W., R. Sheh and C. Sammut (2006). Controlling Heterogeneous Semi-autonomous Rescue Robot Teams. 2006 IEEE International Conference on Systems, Man, and Cybernetic. Taipei. 3204-3209.
  51. Pham, K. C. and C. Sammut (2005). RDRVision - Learning vision recognition with Ripple Down Rules. Australasian Conference on Robotics and Automation. C. Sammut. Sydney, Australian Robotics and Automation Association: 7 pages.
  52. Kadous, M. W., R. K.-M. Sheh and C. Sammut (2005). CASTER: A Robot for Urban Search and Rescue. Australasian Conference on Robotics and Automation. C. Sammut. Sydney, Australian Robotics and Automation Association: 10 pages.
  53. D'Este, C. and C. Sammut (2005). Active Object Discovery for Communicating with Humans. Australasian Conference on Robotics and Automation. C. Sammut. Sydney, Australian Robotics and Automation Association: 7 pages.
  54. Suc, D., Bratko, I., & Sammut, C. (2004). In Learning to Fly Simple and Robust (pp. 407-418). European Conference on Machine Learning, Pisa.
  55. Sammut, C. (2004). In Applying Behavioural Cloning to Robotics. Soft Computing and Intelligent Systems. IEEE Press.
  56. Potts, D., & Sammut, C. (2004). In N. Barnes & D. Austin (Eds.), Online nonlinear system identification in high dimensional environments. Proceedings of the Australasian Conference on Robotics and Automation, Canberra, Australia.
  57. Morales, E., & Sammut, C. (2004). In R. Greiner & D. Schuurmans (Eds.), Learning to Fly by Combining Reinforcement Learning with Behavioural Cloning (pp. 598-605). Twenty First International Conference in Machine Learning, Banff. ACM Press.
  58. Mak, P., Kang, B.-H., Sammut, C., & Kadous, M.W. (2004). Knowledge Acquisition Module for Conversational Agents. In C. Zhang, H.W. Guesgen & Wai K.Yeap (Eds.), PRICAI 2004: Trends in Artificial Intelligence (Vol. 3157): Springer.
  59. Kadous, W., & Sammut, C. (2004). In MICA: Pervasive Middleware for Learning, Sharing and Talking (pp. 176-180). Perware'04: Middleware Support for Pervasive Computing Workshop at the 2nd Conference on Pervasive Computing, Orlando, Florida.
  60. Kadous, M.W., & Sammut, C. (2004). In C. Zhang, H.W. Guesgen & W.K. Yeap (Eds.), InCA: A Mobile Conversational Agent (pp. 644 - 653). 8th Pacific Rim International Conference on Artificial Intelligence, Auckland, New Zealand. Springer.
  61. Kadous, M.W., & Sammut, C. (2004). In Constructive Induction for Classifying Multivariate Time Series (pp. 192-204). European Conference on Machine Learning, Pisa.
  62. Sammut, C., & Hengst, B. (2003). The Evolution of a Robot Soccer Team. In R.A. Jarvis & A. Zelinksky (Eds.), Robotics Research: The Tenth International Conference (pp. 517-529): Springer.
  63. Sammut, C. (2003). In T. Godeon & L.C.C. Fung (Eds.), Robot Soccer: Science or just fun and games? (pp. 12-23). Proceedings of the Australian Joint Conference on Artificial Intelligence, Perth. Springer.
  64. Isaac, A., & Sammut, C. (2003). In T. Fawcett & N. Mishra (Eds.), Goal-directed Learning to Fly (pp. 258-265). Proceedings of the Twentieth International Conference on Machine Learning, Washington, D.C.
  65. Gupta, A., Anastasakos, A., & Sammut, C. (2003). In MMIF: A Modular Architecture for Multimodal Integration. First Indian International Conference on Artificial Intelligence, Hyderabad, India.
  66. Pham, S.B., Hengst, B., Sammut, C., & Ibbotson, D. (2002). Stochastic Gradient Descent Localisation in Quadruped Robots. In Robocup 2001: Robot Soccer World Cup V (pp. 447-452). Berlin: Springer.
  67. Kadous, M.W., & Sammut, C. (2002). In Mobile Conversational Characters. Workshop on Virtual Conversational Characters in HF2002 Human Factors Conference, Melbourne.
  68. Hengst, B., Pham, S.B., Ibottson, D., & Sammut, C. (2002). Omnidirectional Locomotion for Quadruped Robots. In RoboCup 2001: Robot Soccer World Cup V (pp. 368-373). Berlin: Springer.
  69. Chen, S., Siu, L., Vogelgesang, T., Yik, T.F., Hengst, B., Pham, S.B., et al. (2002). The UNSW RoboCup 2001 Sony Legged Robot Leage Team. In A. Birk, S. Coradeschi & S. Tadokoro (Eds.), RoboCup 2001: Robot Soccer World Cup V (pp. 39-48): Springer.
  70. Hengst, B., Ibbotson, D., Pham, S.B., Dalgliesh, J., Lawther, M., Preston, P., et al. (2001). The UNSW Robocup 2000 Sony Legged League Team. In P. Stone, T. Balch & G. Kraetzschmar (Eds.), Robocup 2000: Robot Soccer World Cup IV (Vol. 2019, pp. 64-75). Heidelberg: Springer.
  71. Pearce, A., Goss, S., & Sammut, C. (1999). In G. Tuder (Ed.), Simulation as an Environment for the Knowledge Acquistion of Procedural Expertise. Proceedings of the Fourth International SimTec Conference, Melbourne.
  72. Shiraz, G.M., & Sammut, C. (1998). In Acquiring control knowledge from examples using Ripple-down rules and machine Learning. Eleventh Workshop on Knowledge Acquisition, Modelling and Management (KAW'98), Banff, Canada.
  73. Sammut, C., & Zrimec, T. (1998). In C. Nedellec & C. Rouveirol (Eds.), Learning to classify X-ray images using relational learning (pp. 55-60). Machine Learning; ECML-98, Chemnitz, Germany. Springer-Verlag.
  74. Sammut, C. (1998). In D. Page (Ed.), Prolog, Refinements and RLGG's (pp. 225-235). Proceedings of the Eighth International Conference on Inductive Logic Programming, Madison, Wisconsin. Springer.
  75. Harries, M.B., Horn, K., & Sammut, C. (1998). In Learning in time-ordered domains with hidden changes incontext. ICML-98/AAAI-98 Joint Workshop in Predicting the Future: AI Approaches to Time-Series Analysis, Madison, Wisconsin.
  76. Bratko, I., Urbancic, T., & Sammut, C. (1998). Behavioural Cloning of Control Skill. In R.S. Michalski, I. Bratko & M. Kubat (Eds.), Machine Learning and Data Mining (pp. 335-351).
  77. Zrimec, T., & Sammut, C. (1997). In Knowledge Acquisition for Medical Image Understanding (pp. 7-1 - 7-11). Australian Knowledge Acquisition Workshop, Perth.
  78. Shiraz, G.M., & Sammut, C. (1997). In Learning to pilot an aircraft. Joint Pacific Asian Conference on Expert Systems/Singapore International Conference on Intelligent Systems, Singapore.
  79. Sammut, C. (1997). In D. Brandt (Ed.), A multistrategy approach to learning control from human skills (pp. 31-34). 6th IFAC Conference on Automated Systems Based on Human Skill, Kranjska Gora, Slovenia.
  80. Sammut, C. (1997). In Teaching AI with Bots (pp. 1-8). AI'97 Workshop on Teaching in Artificial Intelligence, Perth.
  81. Amin, A., Kim, S.-G., & Sammut, C. (1997). In Hand Printed Chinese Character Recognition via Machine Learning (pp. 190-194). Proceedings of the 4th International Conference Document Analysis and Recognition (ICDAR '97), Ulm, Germany. IEEE Computer So.
  82. Urbancic, T., Bratko, I., & Sammut, C. (1996). In Learning models of control skills: phenomena, results and problems (pp. L 391-396). 13th IFAC World Congress, San Francisco.
  83. Sammut, C. (1996). In K. Furukawa (Ed.), Inductive logic programming and multistrategy learning (pp. 105-111). Japanese Workshop on Inductive Logic Programming, Sapporo, Japan.
  84. Sammut, C. (1996). In K. Furukawa (Ed.), Learning the structure of tacit skills (pp. 5-10). Keio international Workshop on the Verbalisation of Tacit Knowledge using Inductive Inference, Keio University, Japan.
  85. Sammut, C. (1996). In R.S. Michalski & J. Wneck (Eds.), Using background knowledge to build multistrategy learners. Third International Workshop on Multistrategy Learning, Harper's Ferry, WV.
  86. Sammut, C. (1996). Automatic construction of reactive control systems using symbolic machine learning. Knowledge Engineering Review, 11(1), 27-42.
  87. Sammut, C. (1996). In K. Furukawa (Ed.), Inductive Logic Programming and Background Knowledge. Japanese Workshop on Inductive Logic Programming, Sapporo, Japan.
  88. Bain, M., Sammut, C., Sharma, A., & Shepherd, J. (1996). In ReDuce: Automatic structuring and compression in relational Databases (pp. 41-52). MLnet Workshop on Data Mining with Inductive Logic Programming.
  89. Amin, A., Sammut, C., & Sum, K.C. (1996). Learning to recognize hand-printed Chinese characters using Inductive Logic Programming. International Journal of Pattern Recognition and Artificial Intelligence, 10(7), 829-847.
  90. Zrimec, T., & Sammut, C. (1995). In Knowledge representation for model-based image processing in medicine (pp. 427-433). Eighth International Conference on Industrial Engineering Applications of Artificial Intelligence and Expert Systems, Melbourne, Australia. ACM.
  91. Zrimec, T., & Sammut, C. (1995). In J. Kocijan & R. Karba (Eds.), Medical image understanding system (pp. 201-206). IFAC Workshop on Artificial Intelligence in Real-Time Control, Bled, Slovenia.
  92. Ziino, D., Amin, A., & Sammut, C. (1995). In Recognition of Hand Printed Latin Characters Using Machine Learning (pp. 1098-1102). Third International Conference on Document Analysis and Recognition, Montreal. IEEE Computer Society.
  93. Squires, B., & Sammut, C. (1995). In A. Prieditis & S.J. Russel (Eds.), Automatic Speaker Recognition: An Application for Machine learning (pp. 515-521). Twelfth International Conference on Machine Learning, Tahoe City, California. Morgan Kaufmann.
  94. Shirazi, G.M., & Sammut, C. (1995). In An Incremental Method for Learning to Control Dynamic Systems (pp. 139-175). The Machine Learning Workshop of the 1995 International Joint Conference on Artificial Intelligence, Montreal, Canada.
  95. Michie, D., & Sammut, C. (1995). Behavioural Clones and Cognitive Skill Models. In K. Furukawa, D. Michie & S. Muggleton (Eds.), Machine Intelligence 14 (pp. 395-404): Oxford University Press.
  96. McGarity, M., Clements, D., & Sammut, C. (1995). Controlling a Steel Mill with BOXES. In K. Furukawa, D. Michie & S. Muggleton (Eds.), Machine Intelligence 14 (pp. 303-328): Oxford University Press.
  97. Esmaili, N., Shirazi, G.M., & Sammut, C.A. (1995). In Behavioural cloning in control of a dynamic system. IEEE International Conference on Systems, Man and Cybernetics, Vancouver.
  98. Esmaili, N., Shirazi, G.M., & Sammut, C.A. (1995). In Man-machine cooperation for learning to control dynamic systems. IEEE International Conference on Systems, Man and Cybernetics, Vancouver.
  99. Bratko, I., Urbancic, T., & Sammut, C. (1995). In D. Brandt & T. Martin (Eds.), Behavioural Cloning: Phenomena, Results and Problems. IFAC Automated Systems Based on Human Skill, Berlin, Germany. Pergamon.
  100. Mahidadia, A., Sammut, C., & P.Compton. (1994). In N.E. Fuchs & G. Gottlob (Eds.), Unfolding Learning (Vol. Technical Report 94/10, pp. 165-168). Proceedings of the Tenth Logic Programming Workshop, WLP 94, Zurich. Institut für Informatik der Universität Zürich.
  101. Mahidadia, A., Sammut, C., & Compton, P. (1994). Applying Inductive Logic Programming to Causal Qualitative Models in Neuroendocrinology. In C. Zhang, J. Debenham & D. Lukose (Eds.), Artificial Intelligence: Sowing the Seeds of the Future (pp. 68-75). Armidale.
  102. Mahidadia, A., Compton, P., & Sammut, C. (1994). In Helping Researchers To Construct Scientific Models: A Tool From Inductive Logic Programming. 4th Japanese Knowledge Acquisition for Knowledge-Based Systems Workshop, Tokyo.
  103. Esmaili, N., Mann, G.A., & Sammut, C. (1994). In Navigation learning by a mobile robot (pp. 142-150). Iranian Conference on Electrical Engineering.
  104. Amin, A., Chen, C.P., Sammut, C., & Sum, K.C. (1994). In S. Wrobel (Ed.), Learning to Recognise Hand-printed Chinese Characters using Inductive Logic Programming (Vol. 237, pp. 263-272). Fourth International Workshop on Inductive Logic Programming, Bonn, Germany. Gesellschaft für Mathematik und Datenverarbeitung MBH.
  105. Sammut, C., & Zrimec, T. (1993). In P. Langley & Y. Kodratoff (Eds.), Applications of induction in pilot training. ECML-93 Workshop on Practical Applications of Machine Learning, Vienna.
  106. Sammut, C. (1993). In S. Muggleton (Ed.), The Origins of Inductive Logic Programming: A Prehistoric Tale (pp. 127-147). Third International Workshop onf Inductive Logic Programming, Bled, Slovenia.
  107. Mulholland, M., Preston, P., Sammut, C., Hibbert, B., & Compton, C. (1993). In An Expert System for Ion Chromatography Developed using Machine Learning and Knowledge in Context. Proceedings of the Sixth International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems, Edinburgh.
  108. Michie, D., & Sammut, C. (1993). In Machine learning from real-time input-output behaviour (pp. 363-369). Proceedings of the International Conference on Design to Manufacture in Modern Industry, Bled, Solvenia.
  109. Mahidadia, A., Sammut, C., & Compton, P. (1993). In Building and Maintaining Causal Theories Using Inductive Logic Programming. 6th Australian Joint Conference on Artificial Intelligence, Melbourne, Australia.
  110. Sammut, C.A. (1992). In Acquiring Expert Knowledge by Learning from Recorded Behaviours. Japanese Knowledge Acquisition Workshop, Osaka.
  111. Sammut, C.A. (1992). In I. Bratko (Ed.), The Automatic Construction of Control Systems by Induction. ISSEK'92, Lake Bled.
  112. Sammut, C., Hurst, S., Kedzier, D., & Michie, D. (1992). In D. Sleeman & P. Edwards (Eds.), Learning to Fly. Proceedings of the Ninth International Conference on Machine Learning, Aberdeen. Morgan Kaufmann.
  113. Sammut, C. (1992). In Behavioural clones: combining cognitive science and technology. Proceedings of the 1993 Australian Cognitive Science Conference, Melbourne.
  114. Sammut, C. (1992). In S. Muggleton (Ed.), Automatically Constructing Control Systems by Observing Human Behaviour. Second International Inductive Logic Programming Workshop, Tokyo.
  115. Mahidadia, A., Sammut, C., & Compton, P. (1992). In Inventing Causal Qualitative Models: A Tool for Experimental Research. Proceedings of the Fifth Australian Conference on Artificial Intelligence, Hobart.
  116. Mahidadia, A., Sammut, C., & Compton, P. (1992). In Building and Maintaining Causal Theories. Proceedings of the AAAI Symposium on Knowledge Assimilation, Stanford.
  117. Hume, D., & Sammut, C. (1992). Applying Inductive Logic programming in Reactive Environments. In S. Muggleton (Ed.), Inductive Logic Programming (pp. 539-549): Academic Press.
  118. Srinivasan, A., Compton, P., Malor, R., Edwards, G., Sammut, C., & Lazarus, L. (1991). In Knowledge Acquisition in Context for a Complex Domain. Proceedings of the European Knowledge Acquisition Workshop, Aberdeen.
  119. Mansuri, Y., Kim, J.-G., P.J.Compton, & Sammut, C.A. (1991). In An Evaluation of Ripple-Down Rules. Proceedings of the IJCAI'91 Knowledge Acquisition Workshop, Pokolbin.
  120. Hume, D., & Sammut, C. (1991). In L. Birnbaum & G.C. Collins (Eds.), Using Inverse Resolution to Learn Relations from Experiments (pp. 412-416). Proceedings of the Eigth International Machine Learning Conference, Northwestern University, Illinois. Morgan Kaufmann.
  121. Colomb, R., Srinivasan, A., & Sammut, C. (1991). In J.R. Quinlan (Ed.), Making Knowledge Representation Indepdendent of Knowledge Processing. Proceedings of the IJCAI'91 Knowledge Acquisition Workshop, Pokolbin.
  122. Clark, P., Cestnik, B., Sammut, C., & Stender, J. (1991). In Y. Kodratof (Ed.), Panel: Applications of Machine Learning - Notes from the Panel Members (Vol. 482, pp. 457-462). Machine Learning - EWSL-91, European Working Session on Learning, Porto, Portugal. Springer.
  123. Sammut, C.A., & Colomb, R.M. (1990). In Using an ATMS to Compile Rules for a Real-Time Expert System (pp. 323-330). Proceedings of the Australian Joint Artificial Intelligence Conference, Perth.
  124. Sammut, C., & Cribb, J. (1990). In B.W. Porter & R.J. Mooney (Eds.), Is Learning Rate a Good Performance Criterion of Learning? (pp. 170-178). Proceedings of the Seventh International Machine Learning Conference, San Mateo, CA.
  125. Srinivasan, A., Sammut, C.A., & Richards, J.A. (1989). In A Knowledge-Based System for Multi-Source Classification in Remote Sensing (pp. 102-119). Proceedings of the Fifth Australian Conference on Applications of Expert Systems, University of Technology, Sydney.
  126. Sammut, C.A. (Ed.). (1989). Proceedings of the Fifth Australian Conference on the Applications of Expert Systems. University of Technology, Sydney.
  127. Sammut, C.A. (1988). In P. Brazdil (Ed.), Logic Programs as a Basis for Machine Learning. Proceedings of the International Workshop on Logic, Meta-Reasoning and Learning, Sesimbra, Portugal.
  128. Sammut, C. (1988). In Experimental Results from an Evaluation of Algorithms that Learn to Control Dynamic Systems (pp. 437-443). Fifth International Conference on Machine Learning, University of Michigan, Ann Arbor. Morgan Kaufmann.
  129. Sammut, C.A., & Hume, D.V. (1987). In P. Langley (Ed.), Observation and Generalisation in a Simulated Robot World (pp. 267-273). Proceedings of the Fourth International Machine Learning Workshop, Los Altos, California.
  130. Sammut, C.A., & Pollaers, J. (1986). In A Frame Based Knowledge Representation System for Prolog (pp. 201-220). Proceedings of the Ninth Australian Computer Science Conference, Canberra.
  131. Sammut, C.A., & Banerji, R.B. (1986). Learning Concepts by Asking Questions. In R.S. Michalski, J.G. Carbonell & T.M. Mitchell (Eds.), Machine Learning: An Artificial Intelligence Approach, Vol 2 (pp. 167-192). Los Altos, California.
  132. Sammut, C.A., & Hume, D.V. (1985). In Learning Concepts in a Complex Robot World. Proceedings of the Third International Machine Learning Workshop, Skytop, Pennsylvania.
  133. Cohen, B.L., & Sammut, C.A. (1984). In A.W. Biermann, G. Guiho & Y. Kodratoff (Eds.), Program Synthesis Through Concept Learning (pp. 463-482). Automatic Program Construction Techniques. Macmillan.
  134. Sammut, C., & Banerji, R.B. (1983). In HIERARCHICAL MEORIES: An Aid To Concept Learning (pp. 74-80). Proceedings of the 1983 International Machine Learning Workshop, Monicello, Illinois.
  135. Sammut, C.A. (1981). In Concept Learning by Experiment (pp. 104-105). Seventh International Joint Conference on Artificial Intelligence, Vancouver.
  136. Sammut, C.A., & Cohen, B.L. (1980). A Language for Describing Concepts as Programs. In J.M. Tobias (Ed.), Language Design and Programming Methodology (Vol. 79, pp. 111-116): Springer.
  137. Cohen, B.L., & Sammut, C.A. (1980). In Y. Kodratoff (Ed.), Program Synthesis Through Concept Learning. Proceedings of The International Workshop on Program Construction, Bonas, France. I.N.R.I.A.
  138. Cohen, B.L., & Sammut, C.A. (1978). In Pattern Recognition and Learning with Structural Description Languages (pp. 1443-1446). Fourth International Joint Conference on Pattern Recognition, Tokyo.
  139. Cohen, B.L., & Sammut, C.A. (1978). In CONFUCIUS - A Structural Approach to Object Recognition and Concept Learning (pp. 249-259). Australian Universities Computer Science Seminar.