C. Sammut

Claude Sammut, N. Esmaili, G. M. Shirazi, 1995, 1995 IEEE International Conference on Systems, Man and Cybernetics. Intelligent Systems for the 21st Century.

MICA: pervasive middleware for learning, sharing and talking

Claude Sammut, Mohammed Waleed Kadous, C. Sammut, 2004, IEEE Annual Conference on Pervasive Computing and Communications Workshops, 2004. Proceedings of the Second.

Sequential Meta-Heuristic Approach for Solving Large-Scale Ready-Mixed Concrete–Dispatching Problems

S. Travis Waller, Claude Sammut, Mojtaba Maghrebi, 2016 .

Reducing the Number of Decision Variables in Ready Mixed Concrete for Optimally Solving Small Instances in a Practical Time

C. Sammut, S. Waller, D. Rey, 2014 .

Spike-Timing-Dependent Plasticity

Risto Miikkulainen, Scott Sanner, Kristian Kersting, 2010, Encyclopedia of Machine Learning.

Extracting Hidden Context

Claude Sammut, Michael Bonnell Harries, Kim Horn, 1998, Machine Learning.

Hierarchical reinforcement learning: a hybrid approach

Claude Sammut, Malcolm Ryan, Malcolm R. K. Ryan, 2004 .

Behavioural cloning for robots in unstructured environments

C. Sammut, T. Urbancic, M. W. Kadous, 2005 .

Assessing the Accuracy of Expert-Based Decisions in Dispatching Ready Mixed Concrete

Claude Sammut, S. Travis Waller, Mojtaba Maghrebi, 2014 .

Man, machine cooperation for learning to control dynamic systems

Claude Sammut, N. Esmaili, G. M. Shirazi, 1995, 1995 IEEE International Conference on Systems, Man and Cybernetics. Intelligent Systems for the 21st Century.

Simulating range cameras for complex terrain robot mobility

Claude Sammut, Raymond Sheh, C. Sammut, 2011, 2011 IEEE International Symposium on Safety, Security, and Rescue Robotics.

Mean Squared Error

Johannes Fürnkranz, Luís Torgo, Thomas Stützle, 2010, Encyclopedia of Machine Learning.

What makes you tick? The psychology of social media engagement in space science communication

Claude Sammut, Carol Oliver, Yanir Seroussi, 2017, Comput. Hum. Behav..

Using Inverse Resolution to Learn Relations from Experiments

Claude Sammut, David Humme, C. Sammut, 1991, ML.

Inventing Causal Qualitative Models: A Tool for Experimental Research

C. Sammut, P. Compton, T. Menzies, 1992 .

Robot soccer.

C. Sammut, 2010, Wiley interdisciplinary reviews. Cognitive science.

Assessment of Experts' Approach to Insulin Therapy and Development of a Simulator for Diabetes Insulin Adjustment

C. Sammut, E. Kraegen, D. Chisholm, 1992, Diabetes Care.

Development of a Dynamic Gait for a Simulated Humanoid Robot

C. Sammut, Christopher Stephen Hing, 2002 .

Inductive Logic Programming and Multistrategy Learning

C. Sammut, 2022 .

Online Nonlinear System Identification in High Dimensional Environments

C. Sammut, D. Potts, 2022 .

Concept Drift

Claude Sammut, Michael Bonnell Harries, C. Sammut, 2010, Encyclopedia of Machine Learning.

Genetic and Evolutionary Algorithms

Claude Sammut, C. Sammut, 2017, Encyclopedia of Machine Learning and Data Mining.

Knowledge representation for model-based image processing in medicine

Tatjana Zrimec, Claude Sammut, C. Sammut, 1995, IEA/AIE '95.

Greedy Search

Claude Sammut, C. Sammut, 2010, Encyclopedia of Machine Learning.

Version Space

Claude Sammut, C. Sammut, 2010, Encyclopedia of Machine Learning.

Knowledge Representation Representation Formalisms in Machine Learning

C. Sammut, 2002 .

Determining the embedding parameters governing long-term dynamics of copper prices

C. A. Tapia Cortez, C. Sammut, S. Saydam, 2018, Chaos, Solitons & Fractals.

Simultaneous Localisation and Mapping on a Model Off-Road Vehicle

C. Sammut, 2005 .

Qualitative Simulation with Answer Set Programming (Technical Report UNSW-CSE-TR-201415)

C. Sammut, I. Bratko, Timothy Wiley, 2014 .

NONLINEAR SYSTEM IDENTIFICATION USING LINEAR MODEL TREES

C. Sammut, D. Potts, 2022 .

Learning from Labeled and Unlabeled Data

Lise Getoor, Stefan Wrobel, Stefan Schaal, 2010, Encyclopedia of Machine Learning.

RoboCupRescue-Robot League Team CASualty ( Australia )

Claude Sammut, Sarath Kodagoda, Jaime Valls Miro, 2005 .

Logic Programs as a Basis for Machine Learning

C. Sammut, 1988 .

Virtual Reality in Anatomy: A Pilot Study Evaluating Different Delivery Modalities

C. Sammut, Nicolette S Birbara, N. Pather, 2020, Anatomical sciences education.

Click-Through Rate (CTR)

Jean-Michel Renders, João Gama, Eamonn J. Keogh, 2010, Encyclopedia of Machine Learning and Data Mining.

Active Object Discovery for Communicating with Humans

Claude Sammut, Claire D’Este, C. Sammut, 2022 .

Knowledge Acquisition for Image Understanding

C. Sammut, T. Zrimec, 2003 .

Lecture Notes in Artificial Intelligence (Subseries of Lecture NoteS in Computer Science): Preface

Martin A. Riedmiller, José Santos-Victor, Daniele Nardi, 2005 .

Classification Tree

John Case, Sanjay Jain, Jean-Michel Renders, 2010, Encyclopedia of Machine Learning.

Multi-Armed Bandit

Johannes Fürnkranz, Luís Torgo, Katharina Morik, 2010, Encyclopedia of Machine Learning.

Multistrategy Ensemble Learning

Johannes Fürnkranz, Luís Torgo, Thomas Stützle, 2010, Encyclopedia of Machine Learning.

Complex Adaptive System

John Case, Jean-Michel Renders, Eamonn J. Keogh, 2010, Encyclopedia of Machine Learning.

Genetic and Evolutionary Algorithms

Claude Sammut, C. Sammut, 2017, Encyclopedia of Machine Learning and Data Mining.

Proceedings of the Nineteenth International Conference on Machine Learning

Achim G. Hoffmann, Claude Sammut, C. Sammut, 2002 .

CRC for smart internet technology: an overview

Jennifer Seberry, Tadeusz A. Wysocki, Claude Sammut, 2001 .

A Taxonomy of Functional Augmented Reality for Human-Robot Interaction

C. Sammut, M. Obaid, W. Johal, 2022, 2022 17th ACM/IEEE International Conference on Human-Robot Interaction (HRI).

Certainty Equivalence Principle

Jean-Michel Renders, João Gama, Lise Getoor, 2010, Encyclopedia of Machine Learning and Data Mining.

Encyclopedia of Machine Learning and Data Mining

Geoffrey I. Webb, Claude Sammut, Geoffrey I. Webb, 2017, Encyclopedia of Machine Learning and Data Mining.

Semantic Mapping

Risto Miikkulainen, Scott Sanner, Kristian Kersting, 2010, Encyclopedia of Machine Learning.

Multi-agent Transformer Networks for Multimodal Human Activity Recognition

C. Sammut, L. Yao, Binghao Li, 2022, International Conference on Information and Knowledge Management.

Distance Measures

Geoffrey E. Hinton, M. Puterman, G. Karypis, 2010, Encyclopedia of GIS.

A Demonstration of the Taxonomy of Functional Augmented Reality for Human-Robot Interaction

C. Sammut, M. Obaid, W. Johal, 2022, 2022 17th ACM/IEEE International Conference on Human-Robot Interaction (HRI).

Markov Random Field

William T. B. Uther, Y. Shoham, J. Rissanen, 2010, Encyclopedia of Machine Learning.

Let’s Compete! The Influence of Human-Agent Competition and Collaboration on Agent Learning and Human Perception

C. Sammut, W. Johal, Ornnalin Phaijit, 2022, HAI.

The Implementation of UNSW-PROLOG

Claude Sammut, R. A. Sammut, C. Sammut, 1983, Australian Computer Journal.

Automated rock mass discontinuity set characterisation using amplitude and phase decomposition of point cloud data

C. Sammut, M. Lato, S. Singh, 2022, International Journal of Rock Mechanics and Mining Sciences.

Active robot learning of object properties

Oleg O. Sushkov, Claude Sammut, C. Sammut, 2012, 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems.

D-Flow: A Real Time Spatial Temporal Model for Target Area Segmentation pdf

Claude Sammut, Wentao Lu, C. Sammut, 2021, 2022 IEEE-RAS 21st International Conference on Humanoid Robots (Humanoids).

Incremental Learning of Linear Model Trees

Claude Sammut, Duncan Potts, C. Sammut, 2004, Machine Learning.

Encyclopedia of Machine Learning

Geoffrey I. Webb, Claude Sammut, C. Sammut, 2011, Encyclopedia of Machine Learning.

Simulation as an Environment for the Knowledge Acquisition of Procedural Expertise

Claude Sammut, Adrian Pearce, C. Sammut, 1999 .

Encyclopedia of Machine Learning and Data Mining

Geoffrey I. Webb, C. Sammut, 2017, Encyclopedia of Machine Learning and Data Mining.

Effective user interface design for rescue robotics

Claude Sammut, Raymond Sheh, Mohammed Waleed Kadous, 2006, HRI '06.

Majority Voting: Material Classification by Tactile Sensing Using Surface Texture

Nawid Jamali, Claude Sammut, C. Sammut, 2011, IEEE Transactions on Robotics.

Learning Models of Control Skills: Phenomena, Results and Problems

Ivan Bratko, Claude Sammut, Tanja Urbančič, 1996 .

Controlling a steel mill with BOXES

Claude Sammut, Michael McGarity, David P. Clements, 1996, Machine Intelligence 14.

Recent progress with BOXES

Claude Sammut, C. Sammut, 1994, Machine Intelligence 13.

Feature Segmentation for Object Recognition Using Robot Manipulation

Oleg O. Sushkov, Claude Sammut, C. Sammut, 2011 .

Perceptual Context in Cognitive Hierarchies

Michael Thielscher, Maurice Pagnucco, Claude Sammut, 2018, Description Logic, Theory Combination, and All That.

RoboCup Standard Platform League-rUNSWift 2010

Maurice Pagnucco, Claude Sammut, Bernhard Hengst, 2010 .

Using Background Knowledge to Build Multistrategy Learners

Claude Sammut, C. Sammut, 1997, Machine Learning.

Prolog, Refinements and RLGG's

Claude Sammut, C. Sammut, 1998, ILP.

Learning to Classify X-Ray Images Using Relational Learning

Tatjana Zrimec, Claude Sammut, C. Sammut, 1998, ECML.

Learning Concepts by Performing Experiments

Claude Sammut, C. Sammut, 1981 .

Managing Context in a Conversational Agent

Claude Sammut, C. Sammut, 2001, Electron. Trans. Artif. Intell..

Cooperative Coevolution

Charles X. Ling, T. Shultz, A. Mueen, 2010, Encyclopedia of Machine Learning and Data Mining.

Continual Learning

Charles X. Ling, T. Shultz, A. Mueen, 2010, Encyclopedia of Machine Learning.

Mixture Modeling

William T. B. Uther, Y. Shoham, J. Rissanen, 2019, Encyclopedia of Machine Learning.

Distilled Mid-Fusion Transformer Networks for Multi-Modal Human Activity Recognition

C. Sammut, L. Yao, Binghao Li, 2023, ArXiv.

Alternative techniques for forecasting mineral commodity prices

Claude Sammut, Serkan Saydam, C. A. Tapia Cortez, 2017 .

Tool Use Learning for a Real Robot

Claude Sammut, Handy Wicaksono, C. Sammut, 2018 .

The Origins of Inductive Logic Programming: A Prehistoric Tale

Claude Sammut, C. Sammut, Claude Sammut, 1993 .

Sequential Data

Petra Kralj Novak, T. Zeugmann, K. Kersting, 2010, Encyclopedia of Machine Learning.

Feasibility study of automatically performing the concrete delivery dispatching through machine learning techniques

S. Travis Waller, Claude Sammut, Mojtaba Maghrebi, 2015 .

Automatic segmentation and analysis of the main pulmonary artery on standard post-contrast CT studies using iterative erosion and dilation

Tatjana Zrimec, Claude Sammut, Daniel Moses, 2016, International Journal of Computer Assisted Radiology and Surgery.

Meta-Interpretive Learning from noisy images

S. Muggleton, Zhi-Hua Zhou, C. Sammut, 2018, Machine Learning.

Region-Based Object Categorisation Using Relational Learning

Claude Sammut, Reza Farid, C. Sammut, 2014, PRICAI.

Plane-based object categorisation using relational learning

Claude Sammut, Reza Farid, C. Sammut, 2013, Machine Learning.

Occupancy voxel metric based iterative closest point for position tracking in 3D environments

Claude Sammut, Adam Milstein, Matthew McGill, 2011, 2011 IEEE International Conference on Robotics and Automation.

A Relational Approach to Plane-based Object Categorization

Claude Sammut, Reza Farid, C. Sammut, 2012 .

Composability in Cognitive Hierarchies

Michael Thielscher, Maurice Pagnucco, Claude Sammut, 2016, Australasian Conference on Artificial Intelligence.

Panel: Applications of Machine Learning: Notes from the Panel Members

Joachim Stender, Peter Clark, Claude Sammut, 1991, EWSL.

Automatic construction of reactive control systems using symbolic machine learning

Claude Sammut, C. Sammut, 1996, The Knowledge Engineering Review.

Beam Search

Claude Sammut, C. Sammut, 2010, Encyclopedia of Machine Learning and Data Mining.

A Machine Learning System for Controlling a Rescue Robot

Ivan Bratko, Claude Sammut, Timothy Wiley, 2017, RoboCup.

The Robot Engineer

Claude Sammut, Raymond Sheh, Handy Wicaksono, 2015, ILP.

Material classification by tactile sensing using surface textures

Nawid Jamali, Claude Sammut, C. Sammut, 2010, 2010 IEEE International Conference on Robotics and Automation.

Determining the chaotic behaviour of copper prices in the long-term using annual price data

C. A. Tapia Cortez, C. Sammut, S. Saydam, 2018, Palgrave Communications.

Inductive Logic Programming

Stan Matwin, Claude Sammut, C. Sammut, 2003, Lecture Notes in Computer Science.

Object recognition and concept learning with CONFUCIUS

Claude Sammut, Brian Cohen, C. Sammut, 1982, Pattern Recognit..

Behavioural clones and cognitive skill models

Claude Sammut, Donald Michie, D. Michie, 1996, Machine Intelligence 14.

Social Graph Transformer Networks for Pedestrian Trajectory Prediction in Complex Social Scenarios

C. Sammut, L. Yao, Binghao Li, 2022, CIKM.

Deep Belief Networks

이상헌, Geoffrey E. Hinton, 이명구, 2010, Encyclopedia of Machine Learning.

Learning and generalising semantic knowledge from object scenes

Claire D'Este, Claude Sammut, C. Sammut, 2008, Robotics Auton. Syst..

Encyclopedia of Machine Learning

Geoffrey I. Webb, C. Sammut, 2011, Encyclopedia of Machine Learning.

Automated rock mass discontinuity set characterisation using amplitude and phase decomposition

Claude Sammut, Bikram Pratap Banerjee, Sarvesh Kumar Singh, 2021, SSRN Electronic Journal.

Behavioral Cloning

C. Sammut, 2010, Encyclopedia of Machine Learning and Data Mining.

Tool Use Learning in Robots

Claude Sammut, Solly Brown, C. Sammut, 2011, AAAI Fall Symposium: Advances in Cognitive Systems.

A Learning Framework for Tool Creation by a Robot

Claude Sammut, Handy Wicaksono, C. Sammut, 2015 .

Hierarchical reinforcement learning: a hybrid approach

Malcolm R. K. Ryan, C. Sammut, 2004 .

Encyclopedia of Machine Learning and Data Mining

Peter A. Flach, Geoffrey I. Webb, C. Sammut, 2017, Encyclopedia of Machine Learning and Data Mining.

Application of the C4.5 classifier to building an expert system for ion chromatography

Claude Sammut, David Brynn Hibbert, Paul R. Haddad, 1995 .

Relational Tool Use Learning by a Robot in a Real and Simulated World

Claude Sammut, Handy Wicaksono, C. Sammut, 2016 .

Detail

Geoffrey I. Webb, C. Sammut, George Karypis, 2010, Encyclopedia of Machine Learning.

Learning Bias

S. Vijayakumar, M. Lagoudakis, Geoffrey I. Webb, 2010, Encyclopedia of Machine Learning and Data Mining.

Qualitative Planning with Quantitative Constraints for Online Learning of Robotic Behaviours

Ivan Bratko, Claude Sammut, Timothy Wiley, 2014, AAAI.

Learning to Fly Simple and Robust

Ivan Bratko, Claude Sammut, Dorian Suc, 2004, ECML.

Behavioural cloning for driving robots over rough terrain

Claude Sammut, Bernhard Hengst, Raymond Sheh, 2011, 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems.

A Multistrategy Approach to Learning Control from Human Skills

Claude Sammut, C. Sammut, 1997 .

Combining Knowledge Acquisition and Machine Learning to Control Dynamic Systems

Claude Sammut, G. M. Shiraz, C. Sammut, 1997, IJCAI.

ACQUIRING CONTROL KNOWLEDGE FROM EXAMPLES USING RIPPLE-DOWN RULES AND MACHINE LEARNING

Claude Sammut, Hossein Shirazi, C. Sammut, 2008 .

Learning to Drive Over Rough Terrain

Claude Sammut, C. Sammut, 2007 .

Behavioural cloning for robots in unstructured environments

C. Sammut, T. Urbancic, M. W. Kadous, 2005 .

Learning from Labeled and Unlabeled Data

S. Vijayakumar, M. Lagoudakis, Geoffrey I. Webb, 2010, Encyclopedia of Machine Learning.