Natural Language Learning by Recurrent Neural Networks: A Comparison with probabilistic approaches. - Michael Towsey; Joachim Diederich; Ingo Schellhammer; Stephan K. Chalup; Claudia Brugman (CoNLL, 1998)

A study on hill climbing algorithms for neural network training. - Stephan K. Chalup; Frédéric Maire (CEC, 1999)

Software for Analysing Recurrent Neural Nets That Learn to Predict Non-regular Languages. - Stephan K. Chalup; Alan D. Blair (ICGI, 2002)

The Machine Intelligence Hex Project -An Overview. - Stephan K. Chalup; Drew Mellor (Aust. J. Intell. Inf. Process. Syst., 2002)

Incremental Learning in Biological and Machine Learning Systems. - Stephan K. Chalup (Int. J. Neural Syst., 2002)

Towards staged evolution of an artificial player for Hex by enlarging the boardsize during training. - Stephan K. Chalup (IEEE Congress on Evolutionary Computation, 2003)

A New Look At the Enterprise Information System Life Cycle - Introducing the Concept of Generational Change. - Elizabeth Chang 001; Jon Davis; Stephan K. Chalup (ICEIS (3), 2003)

Application of SVMs for Colour Classification and Collision Detection with AIBO Robots. - Michael J. Quinlan; Stephan K. Chalup; Richard H. Middleton (NIPS, 2003)

Traction Monitoring for Collision Detection with Legged Robots. - Michael J. Quinlan; Craig L. Murch; Richard H. Middleton; Stephan K. Chalup (RoboCup, 2003)

Incremental training of first order recurrent neural networks to predict a context-sensitive language. - Stephan K. Chalup; Alan D. Blair (Neural Networks, 2003)

The machine intelligence Hex project. - Stephan K. Chalup; Drew Mellor; Fran Rosamond (Comput. Sci. Educ., 2005)

Foreign Exchange Trading with Support Vector Machines. - Christian Ullrich; Detlef Seese; Stephan K. Chalup (GfKl, 2006)

Modelling Architectural Visual Experience Using Non-linear Dimensionality Reduction. - Stephan K. Chalup; Riley Clement; Chris Tucker; Michael J. Ostwald (ACAL, 2007)

Representations of Streetscape Perceptions Through Manifold Learning in the Space of Hough Arrays. - Stephan K. Chalup; Riley Clement; Joshua Marshall; Chris Tucker; Michael J. Ostwald (ALIFE, 2007)

Variations of the two-spiral task. - Stephan K. Chalup; Lukasz Wiklendt (Connect. Sci., 2007)

Machine Learning With AIBO Robots in the Four-Legged League of RoboCup. - Stephan K. Chalup; Craig L. Murch; Michael J. Quinlan (IEEE Trans. Syst. Man Cybern. Part C, 2007)

Quadratic Leaky Integrate-and-Fire Neural Network Tuned with an Evolution-Strategy for a Simulated 3D Biped Walking Controller. - Lukasz Wiklendt; Stephan K. Chalup; María M. Seron (HIS, 2008)

Towards visualisation of sound-scapes through dimensionality reduction. - Aaron S. W. Wong; Stephan K. Chalup (IJCNN, 2008)

A face-house paradigm for architectural scene analysis. - Stephan K. Chalup; Kenny Hong; Michael J. Ostwald (CSTST, 2008)

A small spiking neural network with LQR control applied to the acrobot. - Lukasz Wiklendt; Stephan K. Chalup; Rick Middleton (Neural Comput. Appl., 2009)

Intelligent evaluation of urban streetscape designs by analysing pedestrian body dynamics. - Arash Jalalian; Stephan K. Chalup; Michael J. Ostwald (IWACI, 2010)

A component based approach improves classification of discrete facial expressions over a holistic approach. - Kenny Hong; Stephan K. Chalup; Robert A. R. King (IJCNN, 2010)

An experimental evaluation of pairwise adaptive support vector machines. - Kenny Hong; Stephan K. Chalup; Robert A. R. King (IJCNN, 2012)

Analysis of pedestrian spatial behaviour using GDTW-P-SVMs. - Arash Jalalian; Stephan K. Chalup; Michael J. Ostwald (IJCNN, 2012)

Evaluation of Colour Models for Computer Vision Using Cluster Validation Techniques. - David M. Budden; Shannon Fenn; Alexandre Mendes; Stephan K. Chalup (RoboCup, 2012)

A component based approach for classifying the seven universal facial expressions of emotion. - Kenny Hong; Stephan K. Chalup; Robert A. R. King (CICAC, 2013)

Scene perception using pareidolia of faces and expressions of emotion. - Kenny Hong; Stephan K. Chalup; Robert A. R. King; Michael J. Ostwald (CICAC, 2013)

Robot emotions generated and modulated by visual features of the environment. - Aaron S. W. Wong; Steven Nicklin; Kenny Hong; Stephan K. Chalup; Peter Walla (CICAC, 2013)

A Model of Heteroassociative Memory: Deciphering Surprising Features and Locations. - Shashank Bhatia; Stephan K. Chalup (ICCC, 2013)

Motivated Reinforcement Learning for Improved Head Actuation of Humanoid Robots. - Jake Fountain; Josiah Walker; David M. Budden; Alexandre Mendes; Stephan K. Chalup (RoboCup, 2013)

GDTW-P-SVMs: Variable-length time series analysis using support vector machines. - Arash Jalalian; Stephan K. Chalup (Neurocomputing, 2013)

Evolving Wavelet Neural Networks for Breast Cancer Classi cation. - Maryam Mahsal Khan; Stephan K. Chalup; Alexandre Mendes (AusDM, 2014)

Software Development in the City Evolutions Project. - Lei Tan; Ross Bille; Yuqing Lin; Stephan K. Chalup; Chris Tucker (IE, 2014)

The NUbots Team Description Paper 2014. - Josiah Walker; Trent Houliston; Brendan Annable; Alex Biddulph; Andrew Dabson; Jake Fountain; Taylor Johnson; Jordan Johnson; Mitchell Metcalfe; Anita Sugo; Stephan K. Chalup; Robert A. R. King; et al. (CoRR, 2014)

Support vector clustering of time series data with alignment kernels. - Benedikt Boecking; Stephan K. Chalup; Detlef Seese; Aaron S. W. Wong (Pattern Recognit. Lett., 2014)

Affective Visual Perception Using Machine Pareidolia of Facial Expressions. - Kenny Hong; Stephan K. Chalup; Robert A. R. King (IEEE Trans. Affect. Comput., 2014)

Point of Regard from Eye Velocity in Stereoscopic Virtual Environments Based on Intersections of Hypothesis Surfaces. - Jake Fountain; Stephan K. Chalup (ACALCI, 2015)

Learning Nursery Rhymes Using Adaptive Parameter Neurodynamic Programming. - Josiah Walker; Stephan K. Chalup (ACALCI, 2015)

A Fast Method for Adapting Lookup Tables Applied to Changes in Lighting Colour. - Trent Houliston; Mitchell Metcalfe; Stephan K. Chalup (RoboCup, 2015)

The NUbots Team Description Paper 2015. - Josiah Walker; Trent Houliston; Brendan Annable; Alex Biddulph; Jake Fountain; Mitchell Metcalfe; Anita Sugo; Monica Olejniczak; Stephan K. Chalup; Robert A. R. King; Alexandre Mendes; Peter Turner (CoRR, 2015)

A multi-agent cooperative reinforcement learning model using a hierarchy of consultants, tutors and workers. - Bilal H. Abed-alguni; Stephan K. Chalup; Frans A. Henskens; David J. Paul (Vietnam. J. Comput. Sci., 2015)

Erratum to: A multi-agent cooperative reinforcement learning model using a hierarchy of consultants, tutors and workers. - Bilal H. Abed-alguni; Stephan K. Chalup; Frans A. Henskens; David J. Paul (Vietnam. J. Comput. Sci., 2015)

Parkinson's Disease Data Classification Using Evolvable Wavelet Neural Networks. - Maryam Mahsal Khan; Stephan K. Chalup; Alexandre Mendes (ACALCI, 2016)

RTCSS: a framework for developing real-time peer-to-peer web applications. - Ross J. Bille; Yuqing Lin; Stephan K. Chalup (ACSW, 2016)

A study on detecting three-dimensional balls using boosted classifiers. - Mitchell Metcalfe; Brendan Annable; Monica Olejniczak; Stephan K. Chalup (ACSW, 2016)

NUClear: A Loosely Coupled Software Architecture for Humanoid Robot Systems. - Trent Houliston; Jake Fountain; Yuqing Lin; Alexandre Mendes; Mitchell Metcalfe; Josiah Walker; Stephan K. Chalup (Frontiers Robotics AI, 2016)

Improving Operational Performance in Service Delivery Organizations by Using a Metaheuristic Task Allocation Algorithm. - Rahul Paul; R. P. Jagadeesh Chandra Bose; Stephan K. Chalup; Gurulingesh Raravi (BPM (Industry Track), 2017)

Group emotion recognition in the wild by combining deep neural networks for facial expression classification and scene-context analysis. - Asad Abbas; Stephan K. Chalup (ICMI, 2017)

Training Deep Neural Networks for Detecting Drinking Glasses Using Synthetic Images. - Abdul Jabbar; Luke Farrawell; Jake Fountain; Stephan K. Chalup (ICONIP (2), 2017)

Evolving multi-dimensional wavelet neural networks for classification using Cartesian Genetic Programming. - Maryam Mahsal Khan; Alexandre Mendes; Ping Zhang 008; Stephan K. Chalup (Neurocomputing, 2017)

A study on validating non-linear dimensionality reduction using persistent homology. - Rahul Paul; Stephan K. Chalup (Pattern Recognit. Lett., 2017)

Monocular ORB-SLAM on a Humanoid Robot for Localization Purposes. - Daniel Ginn; Alexandre Mendes; Stephan K. Chalup; Jake Fountain (Australasian Conference on Artificial Intelligence, 2018)

Adjacent Network for Semantic Segmentation of Liver CT Scans. - Indriani Puspitasari Astono; James S. Welsh; Stephan K. Chalup (BIBE, 2018)

Aligning Manifolds of Double Pendulum Dynamics Under the Influence of Noise. - Fayeem Aziz; Aaron S. W. Wong; James S. Welsh; Stephan K. Chalup (ICONIP (7), 2018)

Comparing Computing Platforms for Deep Learning on a Humanoid Robot. - Alexander Biddulph; Trent Houliston; Alexandre Mendes; Stephan K. Chalup (ICONIP (7), 2018)

Visual Mesh: Real-Time Object Detection Using Constant Sample Density. - Trent Houliston; Stephan K. Chalup (RoboCup, 2018)

RoboCup Junior in the Hunter Region: Driving the Future of Robotic STEM Education. - Aaron S. W. Wong; Ryan Jeffery; Peter Turner; Scott Sleap; Stephan K. Chalup (RoboCup, 2018)

A Smart Meter Firmware Update Strategy Through Network Coding for AMI Network. - Syed Qaisar Jalil; Stephan K. Chalup; Mubashir Husain Rehmani (SGIoT, 2018)

Uncertainty Estimation in the Neural Model for Aeromagnetic Compensation. - Ming Ma 010; Defu Cheng; Stephan K. Chalup; Zhijian Zhou (IEEE Geosci. Remote. Sens. Lett., 2018)

Fast Automatic Optimisation of CNN Architectures for Image Classification Using Genetic Algorithm. - Ali Bakhshi; Nasimul Noman; Zhiyong Chen 001; Mohsen Zamani; Stephan K. Chalup (CEC, 2019)

Comparing Ellipse Detection and Deep Neural Networks for the Identification of Drinking Glasses in Images. - Abdul Jabbar; Alexandre Mendes; Stephan K. Chalup (ICVS, 2019)

From Face Recognition to Facial Pareidolia: Analysing Hidden Neuron Activations in CNNs for Cross-Depiction Recognition. - Asad Abbas; Stephan K. Chalup (IJCNN, 2019)

The Impact of Image Resolution on Facial Expression Analysis with CNNs. - Asad Abbas; Stephan K. Chalup (IJCNN, 2019)

Testing the Robustness of Manifold Learning on Examples of Thinned-Out Data. - Fayeem Aziz; Stephan K. Chalup (IJCNN, 2019)

Estimating Betti Numbers Using Deep Learning. - Rahul Paul; Stephan K. Chalup (IJCNN, 2019)

Optimization of Robot Movements Using Genetic Algorithms and Simulation. - Brandon Zahn; Jake Fountain; Trent Houliston; Alexander Biddulph; Stephan K. Chalup; Alexandre Mendes (RoboCup, 2019)

A Novel U-Shaped Transfer Function for Binary Particle Swarm Optimisation. - Seyedeh Zahra Mirjalili; Hongyu Zhang 002; Seyedali Mirjalili; Stephan K. Chalup; Nasimul Noman (SocProS (1), 2019)

Semi-Supervised Manifold Alignment Using Parallel Deep Autoencoders. - Fayeem Aziz; Aaron S. W. Wong; Stephan K. Chalup (Algorithms, 2019)

Big Data in IoT Systems. - Fayeem Aziz; Stephan K. Chalup; James Juniper (CoRR, 2019)

Improving the reliability of implicit averaging methods using new conditional operators for robust optimization. - Seyedeh Zahra Mirjalili; Seyedali Mirjalili; Hongyu Zhang 002; Stephan K. Chalup; Nasimul Noman (Swarm Evol. Comput., 2019)

Robust Multi-Objective optimization using Conditional Pareto Optimal Dominance. - Seyedeh Zahra Mirjalili; Stephan K. Chalup; Seyedali Mirjalili; Nasimul Noman (CEC, 2020)

End-To-End Speech Emotion Recognition Based on Time and Frequency Information Using Deep Neural Networks. - Ali Bakhshi; Aaron S. W. Wong; Stephan K. Chalup (ECAI, 2020)

Multimodal Emotion Recognition Based on Speech and Physiological Signals Using Deep Neural Networks. - Ali Bakhshi; Stephan K. Chalup (ICPR Workshops (6), 2020)

DQR: Deep Q-Routing in Software Defined Networks. - Syed Qaisar Jalil; Mubashir Husain Rehmani; Stephan K. Chalup (IJCNN, 2020)

A Deep Reinforcement Learning Approach to Fair Distributed Dynamic Spectrum Access. - Syed Qaisar Jalil; Mubashir Husain Rehmani; Stephan K. Chalup (MobiQuitous, 2020)

Parallel LSTM Architectures for Non-Intrusive Load Monitoring in Smart Homes. - Mohamad Mobasher-Kashani; Nasimul Noman; Stephan K. Chalup (SSCI, 2020)

Recognition of emotion from speech using evolutionary cepstral coefficients. - Ali Bakhshi; Stephan K. Chalup; Ali Harimi; Seyed Mostafa Mirhassani (Multim. Tools Appl., 2020)

Performance of evolutionary wavelet neural networks in acrobot control tasks. - Maryam Mahsal Khan; Alexandre Mendes; Stephan K. Chalup (Neural Comput. Appl., 2020)

Fast Evolution of CNN Architecture for Image Classification. - Ali Bakhshi; Stephan K. Chalup; Nasimul Noman (Deep Neural Evolution, 2020)

Evolutionary Hyperparameter Optimisation for Sentence Classification. - Brendan Rogers; Nasimul Noman; Stephan K. Chalup; Pablo Moscato (CEC, 2021)

Cognitive Radio Spectrum Sensing and Prediction Using Deep Reinforcement Learning. - Syed Qaisar Jalil; Stephan K. Chalup; Mubashir Husain Rehmani (IJCNN, 2021)

Affective analysis of visual scenes using face pareidolia and scene-context. - Asad Abbas; Stephan K. Chalup (Neurocomputing, 2021)

Joint Optimization of Topology and Hyperparameters of Hybrid DNNs for Sentence Classification. - Brendan Rogers; Nasimul Noman; Stephan K. Chalup; Pablo Moscato (CEC, 2022)

CyTex: Transforming speech to textured images for speech emotion recognition. - Ali Bakhshi; Ali Harimi; Stephan K. Chalup (Speech Commun., 2022)

Synthetic Data Generation and Deep Learning for the Topological Analysis of 3D Data. - Dylan Peek; Matthew P. Skerritt; Stephan K. Chalup (DICTA, 2023)

Enhanced Embeddings in Zero-Shot Learning for Environmental Audio. - Ysobel Sims; Alexandre Mendes; Stephan K. Chalup (ICASSP, 2023)

Stereo Visual Mesh for Generating Sparse Semantic Maps at High Frame Rates. - Alexander Biddulph; Trent Houliston; Alexandre Mendes; Stephan K. Chalup (ICONIP (6), 2023)

Topological Dynamics of Functional Neural Network Graphs During Reinforcement Learning. - Matthew Muller; Steve Kroon; Stephan K. Chalup (ICONIP (9), 2023)

Violence Detection in Real-Life Audio Signals Using Lightweight Deep Neural Networks. - Ali Bakhshi; Joaquín García-Gómez; Roberto Gil-Pita; Stephan K. Chalup (INNS DLIA@IJCNN, 2023)

Learning To See Topological Properties In 4D Using Convolutional Neural Networks. - Khalil Mathieu Hannouch; Stephan K. Chalup (TAG-ML, 2023)

A decentralised multi-agent system for rail freight traffic management. - Allan Messeder Caldas Bretas; Alexandre Mendes; Martin Jackson; Riley Clement; Claudio Sanhueza; Stephan K. Chalup (Ann. Oper. Res., 2023)

Topology Estimation of Simulated 4D Image Data by Combining Downscaling and Convolutional Neural Networks. - Khalil Mathieu Hannouch; Stephan K. Chalup (CoRR, 2023)

Generating Topologically and Geometrically Diverse Manifold Data in Dimensions Four and Below. - Khalil Mathieu Hannouch; Stephan K. Chalup (DICTA, 2024)

Agent Trajectory Prediction in Urban Traffic Environments via Deep Reward Learning. - Khaled Saleh; Adriana Simona Mihaita; Stephan K. Chalup (ITSC, 2024)

Multi-condition Multi-objective Airfoil Shape Optimisation Using Deep Reinforcement Learning Compared to Genetic Algorithms. - Dasun Shalila Balasooriya; Alan Blair 001; Craig A. Wheeler; Stephan K. Chalup (OL2A (2), 2024)

Efficient Sequence Model for Early Fall Detection of Humanoid Robots. - Khaled Saleh; Thomas O'Brien; Ysobel Sims; Alexandre Mendes; Stephan K. Chalup (RoboCup, 2024)

The Director: A Composable Behaviour System with Soft Transitions. - Ysobel Sims; Trent Houliston; Thomas O'Brien; Alexandre Mendes; Stephan K. Chalup (RoboCup, 2024)

Diffusion in Zero-Shot Learning for Environmental Audio. - Ysobel Sims; Stephan K. Chalup; Alexandre Mendes (CoRR, 2024)

Data-Driven Low-Complexity Detection in Grant-Free NOMA for IoT. - Muhammad Basit Shahab; Sarah J. Johnson; Stephan K. Chalup (IEEE Internet Things J., 2024)

A comparative analysis of deep neural network architectures for sentence classification using genetic algorithm. - Brendan Rogers; Nasimul Noman; Stephan K. Chalup; Pablo Moscato (Evol. Intell., 2024)

Parallel TD3 for Policy Gradient-Based Multi-condition Multi-objective Optimisation. - Dasun Shalila Balasooriya; Alan Blair 001; Ben Wilks; Craig A. Wheeler; Tahir Jauhar; Stephan K. Chalup (EMO (2), 2025)

Addressing deadlock in large-scale, complex rail networks via multi-agent deep reinforcement learning. - Allan Messeder Caldas Bretas; Alexandre Mendes; Stephan K. Chalup; Martin Jackson; Riley Clement; Claudio Sanhueza (Expert Syst. J. Knowl. Eng., 2025)

Topology Type Estimation of Simulated 4D Image Data by Combining Downscaling and Convolutional Neural Networks. - Khalil Mathieu Hannouch; Stephan K. Chalup (ACM Trans. Graph., 2025)