By Professor Claude Sammut

Books

Sammut C; Webb GI, 2017, Encyclopedia of Machine Learning and Data Mining, Springer

2010, Encyclopaedia of Machine Learning, Sammut CA; Webb G, (ed.), Springer, New York, http://www.springer.com/computer/ai/book/978-0-387-30768-8

2003, Inductive logic programming: 12th international conference, ILP 2002, Sydney, Sammut CA; Matwin S, (ed.), Springer, Berlin, Germany

Book Chapters

Sammut C; Farid R; Wicaksono H; Wiley T, 2021, 'Logic-based robotics', in Human-Like Machine Intelligence, pp. 465 - 486

Kenderine S; Yip A; Oliver C; Pather N; Sammut C; Djokic T; Marcus N; Ong A; Kenderdine S, 2021, 'Designing Multi-disciplinary Interactive Virtual Environments for Next-Generation Immersive Learning Experiences: Case Studies and Future Directions in Astrobiology, Anatomy and Cultural Heritage.', in Creative and Collaborative Learning through Immersion Interdisciplinary and International Perspectives, Springer, pp. 49 - 67, http://dx.doi.org/10.1007/978-3-030-72216-6_4

Kenderdine S; Yip A; Oliver C; Pather N; Sammut C; Djokic T; Marcus N; Ong A, 2021, 'Designing Multi-disciplinary Interactive Virtual Environments for Next-Generation Immersive Learning Experiences: Case Studies and Future Directions in Astrobiology, Anatomy and Cultural Heritage', in Creative and Collaborative Learning through Immersion, Springer Nature, pp. 49 - 67, http://dx.doi.org/10.1007/978-3-030-72216-6_4

Sammut C, 2017, 'Behavioral Cloning', in Encyclopedia of Machine Learning and Data Mining, Springer US, pp. 120 - 124, http://dx.doi.org/10.1007/978-1-4899-7687-1_69

Ashar J; Ashmore J; Hall B; Harris S; Hengst B; Liu R; Mei Z; Pagnucco M; Roy R; Sammut C; Sushkov O; Teh B; Tsekouras L, 2015, 'RoboCup SPL 2014 Champion Team Paper', in RoboCup 2014: Robot World Cup XVIII, Springer International Publishing, pp. 70 - 81, http://dx.doi.org/10.1007/978-3-319-18615-3_6

Farid R; Sammut C, 2014, 'Region-Based Object Categorisation Using Relational Learning', in Lecture Notes in Computer Science, Springer International Publishing, pp. 357 - 369, http://dx.doi.org/10.1007/978-3-319-13560-1_29

Brown S; Sammut C, 2012, 'Tool Use and Learning in Robots', in Encyclopedia of the Sciences of Learning, Springer US, pp. 3327 - 3330, http://dx.doi.org/10.1007/978-1-4419-1428-6_1652

Sammut C, 2011, 'Beam Search', in Sammut C; Webb GI (ed.), Encyclopedia of Machine Learning, Springer US, pp. 93 - 93, http://dx.doi.org/10.1007/978-0-387-30164-8_68

Sammut C; Harries M, 2011, 'Concept Drift', in Sammut C; Webb GI (ed.), Encyclopedia of Machine Learning, Springer US, pp. 202 - 205, http://dx.doi.org/10.1007/978-0-387-30164-8_153

Sammut C, 2011, 'Concept Learning', in Sammut C; Webb GI (ed.), Encyclopedia of Machine Learning, Springer US, pp. 205 - 208, http://dx.doi.org/10.1007/978-0-387-30164-8_154

Sammut C, 2011, 'Credit Assignment', in Sammut C; Webb GI (ed.), Encyclopedia of Machine Learning, Springer US, pp. 238 - 242, http://dx.doi.org/10.1007/978-0-387-30164-8_185

Sammut C, 2011, 'Density Estimation', in Sammut C; Webb GI (ed.), Encyclopedia of Machine Learning, Springer US, pp. 270 - 270, http://dx.doi.org/10.1007/978-0-387-30164-8_210

Sammut C, 2011, 'Generalization', in Sammut C; Webb GI (ed.), Encyclopedia of Machine Learning, Springer US, pp. 447 - 447, http://dx.doi.org/10.1007/978-0-387-30164-8_327

Sammut C, 2011, 'Genetic and Evolutionary Algorithms', in Sammut C; Webb GI (ed.), Encyclopedia of Machine Learning, Springer US, pp. 456 - 457, http://dx.doi.org/10.1007/978-0-387-30164-8_334

Sammut C, 2011, 'Greedy Search', in Sammut C; Webb GI (ed.), Encyclopedia of Machine Learning, Springer US, pp. 482 - 483, http://dx.doi.org/10.1007/978-0-387-30164-8_353

Sammut C, 2011, 'Markov Chain Monte Carlo', in Sammut C; Webb GI (ed.), Encyclopedia of Machine Learning, Springer US, pp. 639 - 642, http://dx.doi.org/10.1007/978-0-387-30164-8_511

Sammut CA, 2010, 'Behavioral Cloning', in Sammut C; Webb GI (ed.), Encyclopaedia of Machine Learning, Springer, New York, pp. 93 - 97

Sammut CA; Yik TF, 2010, 'Multistrategy learning for robot behaviours', in Koronacki J; Ras ZW; Wierzchon ST; Kacprzyk J (ed.), Advances in Machine Learning I, Studies in Computational Intelligence, vol. 262, Springer, pp. 457 - 476

Sammut CA; Hengst B, 2003, 'The Evolution of a Robot Soccer Team', in Jarvis R; Zelinsky A (ed.), Robotics Research: The 10th International Conference, Springer Publishing Company, Berlin, pp. 517 - 529

Sammut C; Bain M, 1999, 'A Framework for Behavioural Cloning', in Furukawa K; Michie D; Muggleton S (ed.), Machine Intelligence 15, Oxford University Press, pp. 103 - 129

Bratko I; Urbancic T; Sammut CA, 1998, 'Behavioiural Cloning of Control Skill', in Machine Learning and Data Mining, edn. Original, Wiley & Sons, Chichester, England, pp. 335 - 352

Mahidadia A; Sammut C; Compton P, 1994, 'Applying Inductive Logic Programming to Causal Qualitative Models in Neuroendocrinology', in Zhang C; Debenham J; Lukose D (ed.), Artificial Intelligence: Sowing the Seeds of the Future, pp. 68 - 75

Sammut C, 1994, 'Knowledge Representation', in Michie D; Speigelhalter DJ; Taylor CC (ed.), Machine Learning, Neural Nets and Statistical Classification, pp. 228 - 245

Sammut C, 1994, 'Recent Progress with BOXES', in Furukawa K; Michie D; Muggleton S (ed.), Machine Intelligence 13, Clarendon Press, pp. 363 - 383, file://localhost/Users/claude/Sites/papers/MI13.pdf

Hume D; Sammut C, 1992, 'Applying Inductive Logic programming in Reactive Environments', in Muggleton S (ed.), Inductive Logic Programming, Academic Press, pp. 539 - 549, file://localhost/Users/claude/Sites/papers/ilp91.pdf

Sammut CA, 1991, 'Error-Tolerant Learning Systems', in Michie D; Hayes-Michie J (ed.), Machine Intelligence 12, edn. MACHINE INTELLIGENCE, OXFORD UNIVERSITY PRESS, TALLINN, USSR, pp. 169 - 185, file://localhost/Users/claude/Sites/papers/MI12.pdf

Grech A; Sammut C, 1987, 'Qualitative Plausible Reasoning and Assumptions', in Quinlan JR (ed.), Applications of Expert Systems, Addison-Wesley

Sammut CA; Banerji RB, 1986, 'Learning Concepts by Asking Questions', in Michalski RS; Carbonell JG; Mitchell TM (ed.), Machine Learning: An Artificial Intelligence Approach, Vol 2, pp. 167 - 192, file://localhost/Users/claude/Sites/papers/ml2.pdf

Sammut CA; Cohen BL, 1980, 'A Language for Describing Concepts as Programs', in Tobias JM (ed.), Language Design and Programming Methodology, Springer, pp. 111 - 116, http://dx.doi.org/10.1007/3-540-09745-7_8

Journal articles

Liu Y; Yao L; Li B; Sammut C; Chang X, 2022, 'Interpolation graph convolutional network for 3D point cloud analysis', International Journal of Intelligent Systems, 37, pp. 12283 - 12304, http://dx.doi.org/10.1002/int.23087

Singh SK; Banerjee BP; Lato MJ; Sammut C; Raval S, 2022, 'Automated rock mass discontinuity set characterisation using amplitude and phase decomposition of point cloud data', International Journal of Rock Mechanics and Mining Sciences, 152, http://dx.doi.org/10.1016/j.ijrmms.2022.105072

Birbara NS; Sammut C; Pather N, 2020, 'Virtual Reality in Anatomy: A Pilot Study Evaluating Different Delivery Modalities', Anatomical Sciences Education, 13, pp. 445 - 457, http://dx.doi.org/10.1002/ase.1921

Wicaksono H; Sammut C, 2020, 'A cognitive robot equipped with autonomous tool innovation expertise', International Journal of Electrical and Computer Engineering, 10, pp. 2200 - 2207, http://dx.doi.org/10.11591/ijece.v10i2.pp2200-2207

Moses DA; Dawes L; Sammut C; Zrimec T, 2018, 'Peripheral bronchial identification on chest CT using unsupervised machine learning', International Journal of Computer Assisted Radiology and Surgery, 13, pp. 1379 - 1395, http://dx.doi.org/10.1007/s11548-018-1805-8

Muggleton S; Dai WZ; Sammut C; Tamaddoni-Nezhad A; Wen J; Zhou ZH, 2018, 'Meta-Interpretive Learning from noisy images', Machine Learning, 107, pp. 1097 - 1118, http://dx.doi.org/10.1007/s10994-018-5710-8

Tapia Cortez CA; Hitch M; Sammut C; Coulton J; Shishko R; Saydam S, 2018, 'Determining the embedding parameters governing long-term dynamics of copper prices', Chaos, Solitons and Fractals, 111, pp. 186 - 197, http://dx.doi.org/10.1016/j.chaos.2018.03.032

Tapia Cortez CA; Saydam S; Coulton J; Sammut C, 2018, 'Alternative techniques for forecasting mineral commodity prices', International Journal of Mining Science and Technology, 28, pp. 309 - 322, http://dx.doi.org/10.1016/j.ijmst.2017.09.001

Tapia Cortez CA; Coulton J; Sammut C; Saydam S, 2018, 'Determining the chaotic behaviour of copper prices in the long-term using annual price data', Palgrave Communications, 4, http://dx.doi.org/10.1057/s41599-017-0060-x

Wicaksono H; Sammut C, 2018, 'Tool use learning for a real robot', International Journal of Electrical and Computer Engineering, 8, pp. 1230 - 1237, http://dx.doi.org/10.11591/ijece.v8i2.pp1230-1237

Hwong YL; 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, pp. 480 - 492, http://dx.doi.org/10.1016/j.chb.2016.11.068

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, 3, pp. 1 - 1, https://www.waset.org/abstracts/36210

Wiley TC; Sammut C; Hengst B; Bratko I, 2016, 'A Planning and Learning Hierarchy using Qualitative Reasoning for the On-Line Acquisition of Robotic Behaviors', Advances in Cognitive Systems, 4, pp. 93 - 112, http://www.cogsys.org/papers/ACSvol4/paper8.pdf

Maghrebi M; waller ST; Sammut C, 2016, 'Matching experts' decisions in concrete delivery dispatching centers by ensemble learning algorithms: Tactical level', Automation in Construction, http://dx.doi.org/10.1016/j.autcon.2016.03.007

Moses D; Sammut C; 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, pp. 381 - 395, http://dx.doi.org/10.1007/s11548-015-1265-3

Maghrebi M; Waller ST; Sammut C, 2015, 'Column Generation-Based Approach for Solving Large-Scale Ready Mixed Concrete Delivery Dispatching Problems', Computer-Aided Civil and Infrastructure Engineering, http://dx.doi.org/10.1111/mice.12182

Maghrebi M; Sammut C; Waller ST, 2015, 'Feasibility study of automatically performing the concrete delivery dispatching through machine learning techniques', Engineering, Construction and Architectural Management, 22, pp. 573 - 590, http://dx.doi.org/10.1108/ECAM-06-2014-0081

Maghrebi M; Waller ST; Sammut C, 2015, 'Optimality gap of experts' decisions in concrete delivery dispatching', Journal of Building Engineering, http://dx.doi.org/10.1016/j.jobe.2015.04.001

Back to profile page