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ORCIDClaude Sammut
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- affiliation: University of New South Wales, Sydney, Australia
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2020 – today
- 2024
[j26]Yao Liu
, Binghao Li, Xianzhi Wang, Claude Sammut, Lina Yao:
Attention-Aware Social Graph Transformer Networks for Stochastic Trajectory Prediction. IEEE Trans. Knowl. Data Eng. 36(11): 5633-5646 (2024)- [i7]Kenji Brameld, Germán Castro, Claude Sammut, Mark Roberts, David W. Aha:
Human-Centric Goal Reasoning with Ripple-Down Rules. CoRR abs/2402.10224 (2024) - 2023
- [c70]Ornnalin Phaijit, Claude Sammut, Wafa Johal:
User Interface Interventions for Improving Robot Learning from Demonstration. HAI 2023: 152-161 - [c69]Yao Liu, Binghao Li, Claude Sammut, Lina Yao:
Multi-level Attention Network with Weather Suppression for All-Weather Action Detection in UAV Rescue Scenarios. ICONIP (9) 2023: 540-557 - [i6]Jingcheng Li, Lina Yao, Binghao Li, Claude Sammut:
Distilled Mid-Fusion Transformer Networks for Multi-Modal Human Activity Recognition. CoRR abs/2305.03810 (2023) - [i5]Bernhard Hengst, Maurice Pagnucco, David Rajaratnam, Claude Sammut, Michael Thielscher:
Online Learning and Planning in Cognitive Hierarchies. CoRR abs/2310.12386 (2023) - [i4]Yao Liu, Binghao Li, Xianzhi Wang, Claude Sammut, Lina Yao:
Attention-aware Social Graph Transformer Networks for Stochastic Trajectory Prediction. CoRR abs/2312.15881 (2023) - 2022
- [j25]Yao Liu, Lina Yao, Binghao Li, Claude Sammut, Xiaojun Chang:
Interpolation graph convolutional network for 3D point cloud analysis. Int. J. Intell. Syst. 37(12): 12283-12304 (2022) - [c68]Jingcheng Li, Lina Yao, Binghao Li, Xianzhi Wang, Claude Sammut:
Multi-agent Transformer Networks for Multimodal Human Activity Recognition. CIKM 2022: 1135-1145 - [c67]Yao Liu, Lina Yao, Binghao Li, Xianzhi Wang, Claude Sammut:
Social Graph Transformer Networks for Pedestrian Trajectory Prediction in Complex Social Scenarios. CIKM 2022: 1339-1349 - [c66]Ornnalin Phaijit, Claude Sammut, Wafa Johal:
Let's Compete! The Influence of Human-Agent Competition and Collaboration on Agent Learning and Human Perception. HAI 2022: 86-94 - [c65]Ornnalin Phaijit, Mohammad Obaid, Claude Sammut, Wafa Johal:
A Taxonomy of Functional Augmented Reality for Human-Robot Interaction. HRI 2022: 294-303 - [c64]Ornnalin Phaijit, Mohammad Obaid, Claude Sammut, Wafa Johal:
A Demonstration of the Taxonomy of Functional Augmented Reality for Human-Robot Interaction. HRI 2022: 981-985 - [c63]Wentao Lu, Claude Sammut:
D-Flow: A Real Time Spatial Temporal Model for Target Area Segmentation. Humanoids 2022: 370-376 - [c62]Wentao Lu, Qingbin Sheh, Liangde Li, Claude Sammut:
Object Recognition with Class Conditional Gaussian Mixture Model - A Statistical Learning Approach. RoboCup 2022: 3-13 - [p2]Claude Sammut, Reza Farid, Handy Wicaksono, Timothy Wiley:
Logic-based Robotics. Human-Like Machine Intelligence 2022: 465-486 - 2021
- [i3]Wentao Lu, Claude Sammut:
D-Flow: A Real Time Spatial Temporal Model for Target Area Segmentation. CoRR abs/2111.04525 (2021)
2010 – 2019
- 2019
- [c61]Bernhard Hengst, Maurice Pagnucco, David Rajaratnam, Claude Sammut, Michael Thielscher:
Perceptual Context in Cognitive Hierarchies. Description Logic, Theory Combination, and All That 2019: 352-366 - [c60]Germán Castro, Claude Sammut:
Learning footstep planning on irregular surfaces with partial placements. IROS 2019: 1421-1428 - 2018
- [j24]Daniel Aaron Moses, Laughlin Dawes, Claude Sammut, Tatjana Zrimec:
Peripheral bronchial identification on chest CT using unsupervised machine learning. Int. J. Comput. Assist. Radiol. Surg. 13(9): 1379-1395 (2018) - [j23]Stephen H. Muggleton, Wang-Zhou Dai, Claude Sammut, Alireza Tamaddoni-Nezhad, Jing Wen, Zhi-Hua Zhou:
Meta-Interpretive Learning from noisy images. Mach. Learn. 107(7): 1097-1118 (2018) - [e6]Hidehisa Akiyama, Oliver Obst, Claude Sammut, Flavio Tonidandel:
RoboCup 2017: Robot World Cup XXI [Nagoya, Japan, July 27-31, 2017]. Lecture Notes in Computer Science 11175, Springer 2018, ISBN 978-3-030-00307-4 [contents] - [i2]Bernhard Hengst, Maurice Pagnucco, David Rajaratnam, Claude Sammut, Michael Thielscher:
Perceptual Context in Cognitive Hierarchies. CoRR abs/1801.02270 (2018) - 2017
- [j22]Yi-Ling Hwong, Carol Oliver, Martin Van Kranendonk, Claude Sammut, Yanir Seroussi:
What makes you tick? The psychology of social media engagement in space science communication. Comput. Hum. Behav. 68: 480-492 (2017) - [c59]Timothy Wiley, Ivan Bratko, Claude Sammut:
A Machine Learning System for Controlling a Rescue Robot. RoboCup 2017: 108-119 - [e5]Claude Sammut, Geoffrey I. Webb:
Encyclopedia of Machine Learning and Data Mining. Springer 2017, ISBN 978-1-4899-7685-7 [contents] - [r26]Claude Sammut:
Beam Search. Encyclopedia of Machine Learning and Data Mining 2017: 120 - [r25]Claude Sammut:
Behavioral Cloning. Encyclopedia of Machine Learning and Data Mining 2017: 120-124 - [r24]Claude Sammut, Michael Bonnell Harries:
Concept Drift. Encyclopedia of Machine Learning and Data Mining 2017: 253-256 - [r23]Claude Sammut:
Concept Learning. Encyclopedia of Machine Learning and Data Mining 2017: 256-259 - [r22]Claude Sammut:
Credit Assignment. Encyclopedia of Machine Learning and Data Mining 2017: 294-298 - [r21]Claude Sammut:
Density Estimation. Encyclopedia of Machine Learning and Data Mining 2017: 348-349 - [r20]Claude Sammut:
Generalization. Encyclopedia of Machine Learning and Data Mining 2017: 556 - [r19]Claude Sammut:
Genetic and Evolutionary Algorithms. Encyclopedia of Machine Learning and Data Mining 2017: 566-567 - [r18]Claude Sammut:
Greedy Search. Encyclopedia of Machine Learning and Data Mining 2017: 596 - [r17]Claude Sammut:
Learning as Search. Encyclopedia of Machine Learning and Data Mining 2017: 703-708 - [r16]Claude Sammut:
Markov Chain Monte Carlo. Encyclopedia of Machine Learning and Data Mining 2017: 791-793 - [r15]Claude Sammut:
Subsumption. Encyclopedia of Machine Learning and Data Mining 2017: 1209-1210 - [r14]Claude Sammut:
Version Space. Encyclopedia of Machine Learning and Data Mining 2017: 1327-1328 - 2016
- [j21]Mojtaba Maghrebi, Vivek Periaraj, S. Travis Waller, Claude Sammut:
Column Generation-Based Approach for Solving Large-Scale Ready Mixed Concrete Delivery Dispatching Problems. Comput. Aided Civ. Infrastructure Eng. 31(2): 145-159 (2016) - [j20]Daniel Aaron Moses, Claude Sammut, Tatjana Zrimec:
Automatic segmentation and analysis of the main pulmonary artery on standard post-contrast CT studies using iterative erosion and dilation. Int. J. Comput. Assist. Radiol. Surg. 11(3): 381-395 (2016) - [j19]Mojtaba Maghrebi, S. Travis Waller, Claude Sammut:
Sequential Meta-Heuristic Approach for Solving Large-Scale Ready-Mixed Concrete-Dispatching Problems. J. Comput. Civ. Eng. 30(1) (2016) - [c58]David Rajaratnam, Bernhard Hengst, Maurice Pagnucco, Claude Sammut, Michael Thielscher:
Composability in Cognitive Hierarchies. Australasian Conference on Artificial Intelligence 2016: 42-55 - [c57]Keith Clark, Bernhard Hengst, Maurice Pagnucco, David Rajaratnam, Peter Robinson, Claude Sammut, Michael Thielscher:
A Framework for Integrating Symbolic and Sub-Symbolic Representations. IJCAI 2016: 2486-2492 - 2015
- [c56]Claude Sammut, Raymond Sheh, Adam Haber, Handy Wicaksono:
The Robot Engineer. ILP (Late Breaking Papers) 2015: 101-106 - [c55]Adrian Ratter, Claude Sammut:
Fused 2D/3D position tracking for robust SLAM on mobile robots. IROS 2015: 1962-1969 - [c54]Brad Hall, Sean Harris, Bernhard Hengst, Roger Liu, Kenneth Ng, Maurice Pagnucco, Luke Pearson, Claude Sammut, Peter Schmidt:
RoboCup SPL 2015 Champion Team Paper. RoboCup 2015: 72-82 - 2014
- [j18]Reza Farid, Claude Sammut:
Plane-based object categorisation using relational learning. Mach. Learn. 94(1): 3-23 (2014) - [c53]Timothy Wiley, Claude Sammut, Ivan Bratko:
Qualitative Planning with Quantitative Constraints for Online Learning of Robotic Behaviours. AAAI 2014: 2578-2584 - [c52]Timothy Wiley, Claude Sammut, Ivan Bratko:
Qualitative Simulation with Answer Set Programming. ECAI 2014: 915-920 - [c51]Reza Farid, Claude Sammut:
Region-Based Object Categorisation Using Relational Learning. PRICAI 2014: 357-369 - [c50]Jayen Ashar, Jaiden Ashmore, Brad Hall, Sean Harris, Bernhard Hengst, Roger Liu, Jacky Zijie Mei, Maurice Pagnucco, Ritwik Roy, Claude Sammut, Oleg O. Sushkov, Belinda Teh, Luke Tsekouras:
RoboCup SPL 2014 Champion Team Paper. RoboCup 2014: 70-81 - 2013
- [j17]Claude Sammut:
The Child Machine vs the World Brain. Informatica (Slovenia) 37(1): 3-8 (2013) - [c49]Mojtaba Maghrebi, S. Travis Waller, Claude Sammut:
Scheduling Concrete Delivery Problems by a Robust Meta Heuristic Method. EMS 2013: 375-380 - [c48]Adrian Ratter, Claude Sammut, Matthew McGill:
GPU accelerated graph SLAM and occupancy voxel based ICP for encoder-free mobile robots. IROS 2013: 540-547 - 2012
- [c47]Chao Sun, David Stirling, Christian H. Ritz, Claude Sammut:
Variance-wise Segmentation for a Temporal-Adaptive SAX. AusDM 2012: 71-78 - [c46]Nawid Jamali, Claude Sammut:
Slip prediction using Hidden Markov models: Multidimensional sensor data to symbolic temporal pattern learning. ICRA 2012: 215-222 - [c45]Solly Brown, Claude Sammut:
A Relational Approach to Tool-Use Learning in Robots. ILP 2012: 1-15 - [c44]Matthew McGill, Rudino Salleh, Timothy Wiley, Adrian Ratter, Reza Farid, Claude Sammut, Adam Milstein:
Virtual reconstruction using an autonomous robot. IPIN 2012: 1-8 - [c43]Oleg O. Sushkov, Claude Sammut:
Active robot learning of object properties. IROS 2012: 2621-2628 - 2011
- [j16]Adam Milstein, Matthew McGill, Timothy Wiley, Rudino Salleh, Claude Sammut:
A method for fast encoder-free mapping in unstructured environments. J. Field Robotics 28(6): 817-831 (2011) - [j15]Nawid Jamali, Claude Sammut:
Majority Voting: Material Classification by Tactile Sensing Using Surface Texture. IEEE Trans. Robotics 27(3): 508-521 (2011) - [c42]Solly Brown, Claude Sammut:
Tool Use Learning in Robots. AAAI Fall Symposium: Advances in Cognitive Systems 2011 - [c41]Adam Milstein, Matthew McGill, Timothy Wiley, Rudino Salleh, Claude Sammut:
Occupancy voxel metric based iterative closest point for position tracking in 3D environments. ICRA 2011: 4048-4053 - [c40]Raymond Ka-Man Sheh, Bernhard Hengst, Claude Sammut:
Behavioural cloning for driving robots over rough terrain. IROS 2011: 732-737 - [c39]Timothy Wiley, Matthew McGill, Adam Milstein, Rudino Salleh, Claude Sammut:
Spatial Correlation of Multi-sensor Features for Autonomous Victim Identification. RoboCup 2011: 538-549 - 2010
- [c38]Oleg O. Sushkov, Claude Sammut:
Local image feature matching for object recognition. ICARCV 2010: 1598-1604 - [c37]Nawid Jamali, Claude Sammut:
Material classification by tactile sensing using surface textures. ICRA 2010: 2336-2341 - [p1]Claude Sammut, Tak Fai Yik:
Multistrategy Learning for Robot Behaviours. Advances in Machine Learning I 2010: 457-476 - [e4]Claude Sammut, Geoffrey I. Webb:
Encyclopedia of Machine Learning. Springer 2010, ISBN 978-0-387-30768-8 [contents] - [r13]Claude Sammut:
Beam Search. Encyclopedia of Machine Learning 2010: 93 - [r12]Claude Sammut:
Behavioral Cloning. Encyclopedia of Machine Learning 2010: 93-97 - [r11]Claude Sammut, Michael Bonnell Harries:
Concept Drift. Encyclopedia of Machine Learning 2010: 202-205 - [r10]Claude Sammut:
Concept Learning. Encyclopedia of Machine Learning 2010: 205-208 - [r9]Claude Sammut:
Credit Assignment. Encyclopedia of Machine Learning 2010: 238-242 - [r8]Claude Sammut:
Density Estimation. Encyclopedia of Machine Learning 2010: 270 - [r7]Claude Sammut:
Generalization. Encyclopedia of Machine Learning 2010: 447 - [r6]Claude Sammut:
Genetic and Evolutionary Algorithms. Encyclopedia of Machine Learning 2010: 456-457 - [r5]Claude Sammut:
Greedy Search. Encyclopedia of Machine Learning 2010: 482-483 - [r4]Claude Sammut:
Learning as Search. Encyclopedia of Machine Learning 2010: 572-576 - [r3]Claude Sammut:
Markov Chain Monte Carlo. Encyclopedia of Machine Learning 2010: 639-642 - [r2]Claude Sammut:
Subsumption. Encyclopedia of Machine Learning 2010: 937-938 - [r1]Claude Sammut:
Version Space. Encyclopedia of Machine Learning 2010: 1024-1025 - [i1]Claude Sammut, Raymond Sheh, Tak Fai Yik:
Robot Learning Constrained by Planning and Reasoning. Cognitive Robotics 2010
2000 – 2009
- 2008
- [j14]Claire D'Este, Claude Sammut:
Learning and generalising semantic knowledge from object scenes. Robotics Auton. Syst. 56(11): 891-900 (2008) - 2007
- [c36]Ben Rudzyn, Mohammed Waleed Kadous, Claude Sammut:
Real time robot audition system incorporating both 3D sound source localisation and voice characterisation. ICRA 2007: 4733-4738 - 2006
- [c35]Mohammed Waleed Kadous, Raymond Ka-Man Sheh, Claude Sammut:
Effective user interface design for rescue robotics. HRI 2006: 250-257 - [c34]Mohammed Waleed Kadous, Raymond Ka-Man Sheh, Claude Sammut:
Controlling Heterogeneous Semi-autonomous Rescue Robot Teams. SMC 2006: 3204-3209 - 2005
- [j13]Mohammed Waleed Kadous, Claude Sammut:
Classification of Multivariate Time Series and Structured Data Using Constructive Induction. Mach. Learn. 58(2-3): 179-216 (2005) - [j12]Duncan Potts, Claude Sammut:
Incremental Learning of Linear Model Trees. Mach. Learn. 61(1-3): 5-48 (2005) - [e3]Daniele Nardi, Martin A. Riedmiller, Claude Sammut, José Santos-Victor:
RoboCup 2004: Robot Soccer World Cup VIII. Lecture Notes in Computer Science 3276, Springer 2005, ISBN 3-540-25046-8 [contents] - 2004
- [c33]Mohammed Waleed Kadous, Claude Sammut:
Constructive Induction for Classifying Time Series. ECML 2004: 192-204 - [c32]Dorian Suc, Ivan Bratko, Claude Sammut:
Learning to Fly Simple and Robust. ECML 2004: 407-418 - [c31]Eduardo F. Morales, Claude Sammut:
Learning to fly by combining reinforcement learning with behavioural cloning. ICML 2004 - [c30]Mohammed Waleed Kadous, Claude Sammut:
MICA: Pervasive Middleware for Learning, Sharing and Talking. PerCom Workshops 2004: 176-180 - [c29]Mohammed Waleed Kadous, Claude Sammut:
InCA: A Mobile Conversational Agent. PRICAI 2004: 644-653 - 2003
- [c28]Claude Sammut:
Robot Soccer: Science or Just Fun and Games? Australian Conference on Artificial Intelligence 2003: 12-23 - [c27]Andrew Isaac, Claude Sammut:
Goal-directed Learning to Fly. ICML 2003: 258-265 - [c26]Anurag Kumar Gupta, Tasos Anastasakos, Claude Sammut:
MMIF: A Modular Architecture for Multimodal Integration. IICAI 2003: 745-754 - [c25]Hans-Dieter Burkhard, Minoru Asada, Andrea Bonarini, Adam Jacoff, Daniele Nardi, Martin A. Riedmiller, Claude Sammut, Elizabeth Sklar, Manuela M. Veloso:
RoboCup: Yesterday, Today, and Tomorrow Workshop of the Executive Committee in Blaubeuren, October 2003. RoboCup 2003: 15-34 - [e2]Stan Matwin, Claude Sammut:
Inductive Logic Programming, 12th International Conference, ILP 2002, Sydney, Australia, July 9-11, 2002. Revised Papers. Lecture Notes in Computer Science 2583, Springer 2003, ISBN 3-540-00567-6 [contents] - 2002
- [e1]Claude Sammut, Achim G. Hoffmann:
Machine Learning, Proceedings of the Nineteenth International Conference (ICML 2002), University of New South Wales, Sydney, Australia, July 8-12, 2002. Morgan Kaufmann 2002, ISBN 1-55860-873-7 [contents] - 2001
- [j11]Claude Sammut:
Managing Context in a Conversational Agent. Electron. Trans. Artif. Intell. 5(B): 189-202 (2001) - [c24]Claude Sammut, Bernhard Hengst:
The Evolution of a Robot Soccer Team. ISRR 2001: 517-530 - [c23]Spencer C. Chen, Martin Siu, Thomas Vogelgesang, Tak Fai Yik, Bernhard Hengst, Son Bao Pham, Claude Sammut:
The UNSW RoboCup 2001 Sony Legged Robot League Team. RoboCup 2001: 39-48 - [c22]Bernhard Hengst, Darren Ibbotson, Son Bao Pham, Claude Sammut:
Omnidirectional Locomotion for Quadruped Robots. RoboCup 2001: 368-373 - [c21]Son Bao Pham, Bernhard Hengst, Darren Ibbotson, Claude Sammut:
Stochastic Gradient Descent Localisation in Quadruped Robots. RoboCup 2001: 447-452 - 2000
- [c20]Bernhard Hengst, Darren Ibbotson, Son Bao Pham, John Dalgiesh, Mike Lawther, Phil Preston, Claude Sammut:
The UNSW RoboCup 2000 Sony Legged League Team. RoboCup 2000: 64-75
1990 – 1999
- 1998
- [j10]Michael Bonnell Harries, Claude Sammut, Kim Horn:
Extracting Hidden Context. Mach. Learn. 32(2): 101-126 (1998) - [c19]Claude Sammut, Tatjana Zrimec:
Learning to Classify X-Ray Images Using Relational Learning. ECML 1998: 55-60 - [c18]Claude Sammut:
Prolog, Refinements and RLGG's. ILP 1998: 225-234 - 1997
- [j9]Claude Sammut:
Using Background Knowledge to Build Multistrategy Learners. Mach. Learn. 27(3): 241-257 (1997) - [c17]Adnan Amin, Seung-Gwon Kim, Claude Sammut:
Hand Printed Chinese Character Recognition via Machine Learning. ICDAR 1997: 190-194 - [c16]G. M. Shiraz, Claude Sammut:
Combining Knowledge Acquisition and Machine Learning to Control Dynamic Systems. IJCAI (2) 1997: 908-913 - 1996
- [j8]Adnan Amin, Claude Sammut, K. C. Sum:
Learning to Recognize Hand-Printed Chinese Charaters Using Inductive Logic Programming. Int. J. Pattern Recognit. Artif. Intell. 10(7): 829-847 (1996) - [j7]Claude Sammut:
Automatic construction of reactive control systems using symbolic machine learning. Knowl. Eng. Rev. 11(1): 27-42 (1996) - 1995
- [c15]Domenic Ziino, Adnan Amin, Claude Sammut:
Recognition of hand printed Latin characters using machine learning. ICDAR 1995: 1098-1102 - [c14]Brett Squires, Claude Sammut:
Automatic Speaker Recognition: An Application of Machine Learning. ICML 1995: 515-521 - [c13]Tatjana Zrimec, Claude Sammut:
Knowledge Representation for Model-Based Image Processing in Medicine. IEA/AIE 1995: 427-433 - [c12]Michael Bain, Claude Sammut:
A Framework for Behavioural Cloning. Machine Intelligence 15 1995: 103-129 - 1994
- [c11]Ashesh Mahidadia, Claude Sammut, Paul Compton:
Helping Researchers To Construct Scientific Models: A Tool From Inductive Logic Programming. WLP 1994: 165-168 - 1993
- [c10]Michael McGarity, Claude Sammut, David P. Clements:
Controlling a steel mill with BOXES. Machine Intelligence 14 1993: 303-328 - [c9]Donald Michie, Claude Sammut:
Behavioural clones and cognitive skill models. Machine Intelligence 14 1993: 395-404 - 1992
- [c8]Claude Sammut, Scott Hurst, Dana Kedzier, Donald Michie:
Learning to Fly. ML 1992: 385-393 - [c7]Claude Sammut:
Recent progress with BOXES. Machine Intelligence 13 1992: 363-383 - 1991
- [j6]Claude Sammut, Donald Michie:
Controlling a Black-Box Simulation of a Spacecraft. AI Mag. 12(1): 56-63 (1991) - [c6]Peter Clark, Bojan Cestnik, Claude Sammut, Joachim Stender:
Panel: Applications of Machine Learning: Notes from the Panel Members. EWSL 1991: 457-462 - [c5]David Humme, Claude Sammut:
Using Inverse Resolution to Learn Relations from Experiments. ML 1991: 412-416 - 1990
- [c4]Claude Sammut, James Cribb:
Is Learning Rate a Good Performance Criterion for Learning? ML 1990: 170-178
1980 – 1989
- 1988
- [c3]Claude Sammut:
Experimental Results from an Evaluation of Algorithms that Learn to Control Dynamic Systems. ML 1988: 437-443 - 1985
- [j5]Claude Sammut:
Concept development for Expert System Knowledge Bases. Aust. Comput. J. 17(1): 49-55 (1985) - 1983
- [j4]R. A. Sammut, Claude Sammut:
PROLOG: A Tutorial Introduction. Aust. Comput. J. 15(2): 42-51 (1983) - [j3]Claude Sammut, R. A. Sammut:
The Implementation of UNSW-PROLOG. Aust. Comput. J. 15(2): 58-64 (1983) - 1982
- [j2]Brian Cohen, Claude Sammut:
Object recognition and concept learning with CONFUCIUS. Pattern Recognit. 15(4): 309-316 (1982) - 1981
- [c2]Claude Sammut:
Concept Learning by Experiment. IJCAI 1981: 104-105
1970 – 1979
- 1979
- [j1]B. L. Cohen, Claude Sammut:
CONFUCIUS: A Structural Concept Learning System. Aust. Comput. J. 10(4): 138-144 (1979) - [c1]Claude Sammut, Brian Cohen:
A Language for Describing Concepts as Programs. Language Design and Programming Methodology 1979: 111-116
Coauthor Index
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