By Professor Claude Sammut

Journal articles

Maghrebi M; Waller ST; Sammut C, 2014, 'Sequential Meta-Heuristic Approach for Solving Large-Scale Ready-Mixed Concrete–Dispatching Problems', Journal of Computing in Civil Engineering, pp. 04014117 - 04014117, http://dx.doi.org/10.1061/(ASCE)CP.1943-5487.0000453

Maghrebi M; Waller ST; Sammut CA, 2014, 'Assessing the Accuracy of Expert-based Decisions in the Dispatching of Ready Mixed Concrete', Journal of Construction Engineering and Management, 140, pp. 06014004-1 - 06014004-7, http://dx.doi.org/10.1061/(ASCE)CO.1943-7862.0000853

Maghrebi M; Sammut C; Waller ST, 2014, 'Predicting the Duration of Concrete Operations Via Artificial Neural Network and by Focusing on Supply Chain Parameters', Building Research Journal, 61, pp. 1 - 14, http://dx.doi.org/10.2478/brj-2014-0001

Farid R; Sammut CA, 2014, 'Plane-based object categorisation using relational learning', Machine Learning, 94, pp. 3 - 23, http://dx.doi.org/10.1007/s10994-013-5352-9

Maghrebi M; Sammut C; Waller S, 2013, 'Integrated Building Information Modeling (BIM) with Supply Chain and Feed-Forward Control', YBL Journal of Built Environment, 1, pp. 25 - 34, http://dx.doi.org/10.2478/jbe-2013-0009

Maghrebi M; Waller ST; Sammut C, 2013, 'Reconstruction of an Expert’s Decision Making Expertise in Concrete Dispatching by Machine Learning', Journal of Civil Engineering and Architecture, 7, pp. 1540 - 1547

Brown S; Sammut C, 2013, 'A relational approach to tool-use learning in robots', Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 7842 LNAI, pp. 1 - 15, http://dx.doi.org/10.1007/978-3-642-38812-5_1

Sammut CA, 2013, 'The child machine vs the world brain', Informatica, 37, pp. 3 - 8

Wiley T; Mcgill M; Milstein AH; Salleh R; Sammut CA, 2012, 'Spatial correlation of multi-sensor features for autonomous victim identification', Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 7416 LNCS, pp. 538 - 549, http://dx.doi.org/10.1007/978-3-642-32060-6_46

Sammut C, 2012, 'When Do Robots Have to Think?', Advances in Cognitive Systems, 1, pp. 73 - 81

Milstein AH; Mcgill M; Wiley T; Salleh R; Sammut CA, 2011, 'A method for fast encoder-free mapping in unstructured environments', Journal of Field Robotics, 28, pp. 817 - 831, http://dx.doi.org/10.1002/rob.20408

Jamali N; Sammut CA, 2011, 'Majority Voting: Material Classification by Tactile Sensing Using Surface Texture', IEEE Transactions on Robotics, 27, pp. 508 - 521, http://dx.doi.org/10.1109/TRO.2011.2127110

Sammut CA, 2010, 'Robot soccer', Wiley Interdisciplinary Reviews: Cognitive Science, 1, pp. 824 - 833, http://dx.doi.org/10.1002/wcs.86

Shirazi H; Sammut CA, 2008, 'Acquiring control knowledge from examples using ripple-down rules and machine learning', IRANIAN JOURNAL OF SCIENCE AND TECHNOLOGY TRANSACTION B-ENGINEERING, 32, pp. 295 - 304

D Este C; Sammut CA, 2008, 'Learning and generalising semantic knowledge from object scenes', Robotics and Autonomous Systems, 56, pp. 891 - 900

Nardi D; Riedmiller M; Sammut C; Santos-Victor J, 2005, 'Lecture Notes in Artificial Intelligence (Subseries of Lecture NoteS in Computer Science): Preface', Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science), 3276

Potts D; Sammut C, 2005, 'Online nonlinear system identification using linear model trees', IFAC Proceedings Volumes (IFAC-PapersOnline), 16, pp. 202 - 207, http://dx.doi.org/10.3182/20050703-6-cz-1902.00034

Kadous MW; Sammut CA, 2005, 'Classification of multivariate time series and structured data using constructive induction', Machine Learning, 58, pp. 179 - 216

Potts DE; Sammut CA, 2005, 'Incremental learning of linear model trees', Machine Learning, 61, pp. 5 - 48, http://dx.doi.org/10.1007/s10994-005-1121-8

Burkhard H; Asada M; Bonarini A; Jacoff A; Nardi D; Riedmiller M; Sammut CA; Sklar E; Veloso M, 2004, 'RoboCup: Yesterday, today, and tomorrow workshop of the ExecutiveCommittee in Blaubeuren, October 2003', Proceedings of the First International Conference on Advances in Natural Computation (ICNC 2005), Part III, Lecture Notes in Computer Science 3612/2005, 3020, pp. 15 - 34

Matwin S; Sammut C, 2003, 'Preface', Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2583, pp. V - VI

Barr T; Chicharo J; Van Der Meyden R; Sammut C; Seberry J; Tobias J; Wysocki T, 2001, 'CRC for smart internet technology - An overview', Telecommunications Journal of Australia, 51, pp. 19 - 23

Sammut CA, 2001, 'Managing Context in a Conversational Agent', Electronic Transactions on Artificial Intelligence, pp. 1 - 7

Sammut C, 2001, 'Managing Context in a Conversational Agent.', Electron. Trans. Artif. Intell., 5, pp. 189 - 202

Hengst B; Pham SB; Lawther MJ; Byrnes-Preston PJ; Sammut CA; Dalgliesh J; Ibbotson D, 2001, 'The UNSW RoboCup 2000 Sony Legged League Team', RoboCup 2000: Robot Soccer World Cup IV, 201, pp. 64 - 75

Harries M; Sammut CA; Horn K, 1998, 'Extracting Hidden Context', Machine Learning, 32, pp. 101 - 126, http://dx.doi.org/10.1023/A:1007420529897

Sammut CA; Zrimec T, 1998, 'Learning to classify X-ray images using Relational Learning', Proceedings of the First International Conference on Advances in Natural Computation (ICNC 2005), Part III, Lecture Notes in Computer Science 3612/2005, 1398, pp. 55 - 60

Sammut CA, 1998, 'Prolog, Refinements and RLGG`s', Proceedings of the First International Conference on Advances in Natural Computation (ICNC 2005), Part III, Lecture Notes in Computer Science 3612/2005, 1446, pp. 225 - 234

Zrimec T; Sammut CA, 1997, 'A Medical Image Understanding System', Engineering Applications of Artificial Intelligence, 10, pp. 31 - 39

Sammut C, 1997, 'A Multistrategy Approach to Learning Control from Human Skills', IFAC Proceedings Volumes, 30, pp. 37 - 40, http://dx.doi.org/10.1016/s1474-6670(17)42217-8

Sammut CA, 1997, 'Using Background Knowledge to Build Multistrategy Learning', Machine Learning, pp. 241 - 257

Amin A; Sammut C; Sum KC, 1996, 'Learning to recognize hand-printed Chinese characters using inductive logic programming', International Journal of Pattern Recognition and Artificial Intelligence, 10, pp. 829 - 847, http://dx.doi.org/10.1142/S0218001496000487

Sammut CA, 1996, 'Automatic construction of reactive control systems using symbolic machine learning', Knowledge Engineering Review, 11, pp. 27 - 42

Mulholland M; Hibbert DB; Haddad P; Sammut CA, 1995, 'application of the C4.5 classifier to building and expert system for on chromatography', Chemometrics and intelligent laboratory systems, pp. 95 - 104

Hauser T; Kraegen EW; Campbell LV; Compton PJ; Sammut C; Chisholm DJ, 1992, 'Assessment of experts' approach to insulin therapy and development of a simulator for diabetes insulin adjustment', Diabetes Care, 15, pp. 221 - 231

Hauser T; Kraegen EW; Campbell LV; Compton PJ; Sammut C; Chisholm DJ, 1992, 'Erratum: Assessment of experts' approach to insulin therapy and development of a simulator for diabetes insulin adjustment (Diabetes Care (February 1992) 15 (221-231))', Diabetes Care, 15, pp. 733

Sammut C; Michie D, 1991, 'Controlling a ’Black-Box’ Simulation of a Spacecraft', AI Magazine, 12, pp. 56 - 63

Sammut CA, 1985, 'Concept Development for Expert System Knowledge Bases', Australian Computer Journal, 17, pp. 49 - 55, http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:A1985AKE5900011&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=891bb5ab6ba270e68a

Sammut RA; Sammut CA, 1983, 'PROLOG: A Tutorial Introduction', Australian Computer Journal, 15, pp. 42 - 51, http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:A1983RB57400001&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=891bb5ab6ba270e68a

Sammut CA; Sammut RA, 1983, 'The Implementation of UNSW Prolog', Australian Computer Journal, 15, pp. 58 - 64, http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:A1983RB57400003&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=891bb5ab6ba270e68a

Cohen B; Sammut C, 1982, 'Object recognition and concept learning with CONFUCIUS', Pattern Recognition, 15, pp. 309 - 316, http://dx.doi.org/10.1016/0031-3203(82)90033-4

Cohen B; Sammut C, 1980, 'Learning Concepts in Complex Environments', Australian Computer Science Communications, 2, pp. 13 - 23

Cohen BL; Sammut CA, 1979, 'PATTERN RECOGNITION AND LEARNING WITH A STRUCTURAL DESCRIPTION LANGUAGE.', PATTERN RECOGNITION AND LEARNING WITH A STRUCTURAL DESCRIPTION LANGUAGE., pp. 394 - 397

Cohen BL; Sammut CA, 1978, 'CONFUCIUS: A Structural Concept Learning System', Australian Computer Journal, 10, pp. 138 - 144

Conference Papers

Liu Y; Li B; Sammut C; Yao L, 2024, 'Multi-level Attention Network with Weather Suppression for All-Weather Action Detection in UAV Rescue Scenarios', in Communications in Computer and Information Science, pp. 540 - 557, http://dx.doi.org/10.1007/978-981-99-8138-0_43

Phaijit O; Sammut C; Johal W, 2023, 'User Interface Interventions for Improving Robot Learning from Demonstration', in ACM International Conference Proceeding Series, pp. 152 - 161, http://dx.doi.org/10.1145/3623809.3623848

Lu W; Sheh Q; Li L; Sammut C, 2023, 'Object Recognition with Class Conditional Gaussian Mixture Model - A Statistical Learning Approach', in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), pp. 3 - 13, http://dx.doi.org/10.1007/978-3-031-28469-4_1

Phaijit O; Sammut C; Johal W, 2022, 'Let's Compete! The Influence of Human-Agent Competition and Collaboration on Agent Learning and Human Perception', in HAI 2022 - Proceedings of the 10th Conference on Human-Agent Interaction, pp. 86 - 94, http://dx.doi.org/10.1145/3527188.3561922

Li J; Yao L; Li B; Wang X; Sammut C, 2022, 'Multi-agent Transformer Networks for Multimodal Human Activity Recognition', in International Conference on Information and Knowledge Management, Proceedings, pp. 1135 - 1145, http://dx.doi.org/10.1145/3511808.3557402

Liu Y; Yao L; Li B; Wang X; Sammut C, 2022, 'Social Graph Transformer Networks for Pedestrian Trajectory Prediction in Complex Social Scenarios', in International Conference on Information and Knowledge Management, Proceedings, pp. 1339 - 1349, http://dx.doi.org/10.1145/3511808.3557455

Back to profile page