Stephan K. Chalup

Publication Activity (10 Years)

Years Active: 1998-2024
Publications (10 Years): 62

Top Topics

Convolutional Neural Networks

Top Venues

Publications

Brendan Rogers, Nasimul Noman, Stephan K. Chalup, Pablo Moscato
A comparative analysis of deep neural network architectures for sentence classification using genetic algorithm. Evol. Intell. 17 (3) (2024)
Muhammad Basit Shahab, Sarah J. Johnson, Stephan K. Chalup
Data-Driven Low-Complexity Detection in Grant-Free NOMA for IoT. IEEE Internet Things J. 11 (7) (2024)
Khalil Mathieu Hannouch, Stephan K. Chalup
Learning To See Topological Properties In 4D Using Convolutional Neural Networks. TAG-ML (2023)
Dylan Peek, Matthew P. Skerritt, Stephan K. Chalup
Synthetic Data Generation and Deep Learning for the Topological Analysis of 3D Data. DICTA (2023)
Alexander Biddulph, Trent Houliston, Alexandre Mendes, Stephan K. Chalup
Stereo Visual Mesh for Generating Sparse Semantic Maps at High Frame Rates. ICONIP (6) (2023)
Khalil Mathieu Hannouch, Stephan K. Chalup
Topology Estimation of Simulated 4D Image Data by Combining Downscaling and Convolutional Neural Networks. CoRR (2023)
Allan M. C. Bretas, Alexandre Mendes, Martin Jackson, Riley Clement, Claudio Sanhueza, Stephan K. Chalup
A decentralised multi-agent system for rail freight traffic management. Ann. Oper. Res. 320 (2) (2023)
Dylan Peek, Matt P. Skerritt, Stephan K. Chalup
Synthetic Data Generation and Deep Learning for the Topological Analysis of 3D Data. CoRR (2023)
Matthew Muller, Steve Kroon, Stephan K. Chalup
Topological Dynamics of Functional Neural Network Graphs During Reinforcement Learning. ICONIP (9) (2023)
Ali Bakhshi, Joaquín García-Gómez, Roberto Gil-Pita, Stephan K. Chalup
Violence Detection in Real-Life Audio Signals Using Lightweight Deep Neural Networks. INNS DLIA@IJCNN (2023)
Ysobel Sims, Alexandre Mendes, Stephan K. Chalup
Enhanced Embeddings in Zero-Shot Learning for Environmental Audio. ICASSP (2023)
Brendan Rogers, Nasimul Noman, Stephan K. Chalup, Pablo Moscato
Joint Optimization of Topology and Hyperparameters of Hybrid DNNs for Sentence Classification. CEC (2022)
Ali Bakhshi, Ali Harimi, Stephan K. Chalup
CyTex: Transforming speech to textured images for speech emotion recognition. Speech Commun. 139 (2022)
Syed Qaisar Jalil, Stephan K. Chalup, Mubashir Husain Rehmani
Cognitive Radio Spectrum Sensing and Prediction Using Deep Reinforcement Learning. IJCNN (2021)
Brendan Rogers, Nasimul Noman, Stephan K. Chalup, Pablo Moscato
Evolutionary Hyperparameter Optimisation for Sentence Classification. CEC (2021)
Asad Abbas, Stephan K. Chalup
Affective analysis of visual scenes using face pareidolia and scene-context. Neurocomputing 437 (2021)
Syed Qaisar Jalil, Mubashir Husain Rehmani, Stephan K. Chalup
DQR: Deep Q-Routing in Software Defined Networks. IJCNN (2020)
Seyedeh Zahra Mirjalili, Stephan K. Chalup, Seyedali Mirjalili, Nasimul Noman
Robust Multi-Objective optimization using Conditional Pareto Optimal Dominance. CEC (2020)
Ali Bakhshi, Stephan K. Chalup
Multimodal Emotion Recognition Based on Speech and Physiological Signals Using Deep Neural Networks. ICPR Workshops (6) (2020)
Maryam Mahsal Khan, Alexandre Mendes, Stephan K. Chalup
Performance of evolutionary wavelet neural networks in acrobot control tasks. Neural Comput. Appl. 32 (12) (2020)
Syed Qaisar Jalil, Mubashir Husain Rehmani, Stephan K. Chalup
A Deep Reinforcement Learning Approach to Fair Distributed Dynamic Spectrum Access. MobiQuitous (2020)
Ali Bakhshi, Aaron S. W. Wong, Stephan K. Chalup
End-To-End Speech Emotion Recognition Based on Time and Frequency Information Using Deep Neural Networks. ECAI (2020)
Ali Bakhshi, Stephan K. Chalup, Ali Harimi, Seyed Mostafa Mirhassani
Recognition of emotion from speech using evolutionary cepstral coefficients. Multim. Tools Appl. 79 (47) (2020)
Mohamad Mobasher-Kashani, Nasimul Noman, Stephan K. Chalup
Parallel LSTM Architectures for Non-Intrusive Load Monitoring in Smart Homes. SSCI (2020)
Fayeem Aziz, Aaron S. W. Wong, Stephan K. Chalup
Semi-Supervised Manifold Alignment Using Parallel Deep Autoencoders. Algorithms 12 (9) (2019)
Asad Abbas, Stephan K. Chalup
From Face Recognition to Facial Pareidolia: Analysing Hidden Neuron Activations in CNNs for Cross-Depiction Recognition. IJCNN (2019)
Fayeem Aziz, Stephan K. Chalup, James Juniper
Big Data in IoT Systems. CoRR (2019)
Ali Bakhshi, Nasimul Noman, Zhiyong Chen, Mohsen Zamani, Stephan K. Chalup
Fast Automatic Optimisation of CNN Architectures for Image Classification Using Genetic Algorithm. CEC (2019)
Asad Abbas, Stephan K. Chalup
The Impact of Image Resolution on Facial Expression Analysis with CNNs. IJCNN (2019)
Aaron S. W. Wong, Ryan Jeffery, Peter Turner, Scott Sleap, Stephan K. Chalup
RoboCup Junior in the Hunter Region: Driving the Future of Robotic STEM Education. CoRR (2019)
Seyedeh Zahra Mirjalili, Hongyu Zhang, Seyedali Mirjalili, Stephan K. Chalup, Nasimul Noman
A Novel U-Shaped Transfer Function for Binary Particle Swarm Optimisation. SocProS (1) (2019)
Rahul Paul, Stephan K. Chalup
Estimating Betti Numbers Using Deep Learning. IJCNN (2019)
Abdul Jabbar, Alexandre Mendes, Stephan K. Chalup
Comparing Ellipse Detection and Deep Neural Networks for the Identification of Drinking Glasses in Images. ICVS (2019)
Brandon Zahn, Jake Fountain, Trent Houliston, Alexander Biddulph, Stephan K. Chalup, Alexandre Mendes
Optimization of Robot Movements Using Genetic Algorithms and Simulation. RoboCup (2019)
Seyedeh Zahra Mirjalili, Seyedali Mirjalili, Hongyu Zhang, Stephan K. Chalup, Nasimul Noman
Improving the reliability of implicit averaging methods using new conditional operators for robust optimization. Swarm Evol. Comput. 51 (2019)
Fayeem Aziz, Stephan K. Chalup
Testing the Robustness of Manifold Learning on Examples of Thinned-Out Data. IJCNN (2019)
Fayeem Aziz, Aaron S. W. Wong, James S. Welsh, Stephan K. Chalup
Aligning Manifolds of Double Pendulum Dynamics Under the Influence of Noise. CoRR (2018)
Trent Houliston, Stephan K. Chalup
Visual Mesh: Real-time Object Detection Using Constant Sample Density. CoRR (2018)
Alexander Biddulph, Trent Houliston, Alexandre Mendes, Stephan K. Chalup
Comparing Computing Platforms for Deep Learning on a Humanoid Robot. ICONIP (7) (2018)
Daniel Ginn, Alexandre Mendes, Stephan K. Chalup, Jake Fountain
Monocular ORB-SLAM on a Humanoid Robot for Localization Purposes. Australasian Conference on Artificial Intelligence (2018)
Indriani Puspitasari Astono, James S. Welsh, Stephan K. Chalup
Adjacent Network for Semantic Segmentation of Liver CT Scans. BIBE (2018)
Alex Biddulph, Trent Houliston, Alexandre Mendes, Stephan K. Chalup
Comparing Computing Platforms for Deep Learning on a Humanoid Robot. CoRR (2018)
Trent Houliston, Stephan K. Chalup
Visual Mesh: Real-Time Object Detection Using Constant Sample Density. RoboCup (2018)
Syed Qaisar Jalil, Stephan K. Chalup, Mubashir Husain Rehmani
A Smart Meter Firmware Update Strategy Through Network Coding for AMI Network. SGIoT (2018)
Aaron S. W. Wong, Ryan Jeffery, Peter Turner, Scott Sleap, Stephan K. Chalup
RoboCup Junior in the Hunter Region: Driving the Future of Robotic STEM Education. RoboCup (2018)
Fayeem Aziz, Aaron S. W. Wong, James S. Welsh, Stephan K. Chalup
Aligning Manifolds of Double Pendulum Dynamics Under the Influence of Noise. ICONIP (7) (2018)
Ming Ma, Defu Cheng, Stephan K. Chalup, Zhijian Zhou
Uncertainty Estimation in the Neural Model for Aeromagnetic Compensation. IEEE Geosci. Remote. Sens. Lett. 15 (12) (2018)
Abdul Jabbar, Luke Farrawell, Jake Fountain, Stephan K. Chalup
Training Deep Neural Networks for Detecting Drinking Glasses Using Synthetic Images. ICONIP (2) (2017)
Rahul Paul, Stephan K. Chalup
A study on validating non-linear dimensionality reduction using persistent homology. Pattern Recognit. Lett. 100 (2017)
Maryam Mahsal Khan, Alexandre Mendes, Ping Zhang, Stephan K. Chalup
Evolving multi-dimensional wavelet neural networks for classification using Cartesian Genetic Programming. Neurocomputing 247 (2017)
Asad Abbas, Stephan K. Chalup
Group emotion recognition in the wild by combining deep neural networks for facial expression classification and scene-context analysis. ICMI (2017)
Rahul Paul, R. P. Jagadeesh Chandra Bose, Stephan K. Chalup, Gurulingesh Raravi
Improving Operational Performance in Service Delivery Organizations by Using a Metaheuristic Task Allocation Algorithm. BPM (Industry Track) (2017)
Ross J. Bille, Yuqing Lin, Stephan K. Chalup
RTCSS: a framework for developing real-time peer-to-peer web applications. ACSW (2016)
Trent Houliston, Jake Fountain, Yuqing Lin, Alexandre Mendes, Mitchell Metcalfe, Josiah Walker, Stephan K. Chalup
NUClear: A Loosely Coupled Software Architecture for Humanoid Robot Systems. Frontiers Robotics AI 3 (2016)
Maryam Mahsal Khan, Stephan K. Chalup, Alexandre Mendes
Parkinson's Disease Data Classification Using Evolvable Wavelet Neural Networks. ACALCI (2016)
Mitchell Metcalfe, Brendan Annable, Monica Olejniczak, Stephan K. Chalup
A study on detecting three-dimensional balls using boosted classifiers. ACSW (2016)
Bilal H. Abed-alguni, Stephan K. Chalup, Frans A. Henskens, David J. Paul
Erratum to: A multi-agent cooperative reinforcement learning model using a hierarchy of consultants, tutors and workers. Vietnam. J. Comput. Sci. 2 (4) (2015)
Bilal H. Abed-alguni, Stephan K. Chalup, Frans A. Henskens, David J. Paul
A multi-agent cooperative reinforcement learning model using a hierarchy of consultants, tutors and workers. Vietnam. J. Comput. Sci. 2 (4) (2015)
Josiah Walker, Stephan K. Chalup
Learning Nursery Rhymes Using Adaptive Parameter Neurodynamic Programming. ACALCI (2015)
Trent Houliston, Mitchell Metcalfe, Stephan K. Chalup
A Fast Method for Adapting Lookup Tables Applied to Changes in Lighting Colour. RoboCup (2015)
Jake Fountain, Stephan K. Chalup
Point of Regard from Eye Velocity in Stereoscopic Virtual Environments Based on Intersections of Hypothesis Surfaces. ACALCI (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
The NUbots Team Description Paper 2015. CoRR (2015)
Benedikt Boecking, Stephan K. Chalup, Detlef Seese, Aaron S. W. Wong
Support vector clustering of time series data with alignment kernels. Pattern Recognit. Lett. 45 (2014)
Maryam Mahsal Khan, Stephan K. Chalup, Alexandre Mendes
Evolving Wavelet Neural Networks for Breast Cancer Classi cation. AusDM (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, Alexandre Mendes, Peter Turner
The NUbots Team Description Paper 2014. CoRR (2014)
Lei Tan, Ross Bille, Yuqing Lin, Stephan K. Chalup, Chris Tucker
Software Development in the City Evolutions Project. IE (2014)
Kenny Hong, Stephan K. Chalup, Robert A. R. King
Affective Visual Perception Using Machine Pareidolia of Facial Expressions. IEEE Trans. Affect. Comput. 5 (4) (2014)
Kenny Hong, Stephan K. Chalup, Robert A. R. King
A component based approach for classifying the seven universal facial expressions of emotion. CICAC (2013)
Shashank Bhatia, Stephan K. Chalup
A Model of Heteroassociative Memory: Deciphering Surprising Features and Locations. ICCC (2013)
Aaron S. W. Wong, Steven Nicklin, Kenny Hong, Stephan K. Chalup, Peter Walla
Robot emotions generated and modulated by visual features of the environment. CICAC (2013)
Kenny Hong, Stephan K. Chalup, Robert A. R. King, Michael J. Ostwald
Scene perception using pareidolia of faces and expressions of emotion. CICAC (2013)
Arash Jalalian, Stephan K. Chalup
GDTW-P-SVMs: Variable-length time series analysis using support vector machines. Neurocomputing 99 (2013)
Jake Fountain, Josiah Walker, David M. Budden, Alexandre Mendes, Stephan K. Chalup
Motivated Reinforcement Learning for Improved Head Actuation of Humanoid Robots. RoboCup (2013)
David M. Budden, Shannon Fenn, Alexandre Mendes, Stephan K. Chalup
Evaluation of Colour Models for Computer Vision Using Cluster Validation Techniques. RoboCup (2012)
Arash Jalalian, Stephan K. Chalup, Michael J. Ostwald
Analysis of pedestrian spatial behaviour using GDTW-P-SVMs. IJCNN (2012)
Kenny Hong, Stephan K. Chalup, Robert A. R. King
An experimental evaluation of pairwise adaptive support vector machines. IJCNN (2012)
Arash Jalalian, Stephan K. Chalup, Michael J. Ostwald
Intelligent evaluation of urban streetscape designs by analysing pedestrian body dynamics. IWACI (2010)
Kenny Hong, Stephan K. Chalup, Robert A. R. King
A component based approach improves classification of discrete facial expressions over a holistic approach. IJCNN (2010)
Lukasz Wiklendt, Stephan K. Chalup, Rick Middleton
A small spiking neural network with LQR control applied to the acrobot. Neural Comput. Appl. 18 (4) (2009)
Stephan K. Chalup, Kenny Hong, Michael J. Ostwald
A face-house paradigm for architectural scene analysis. CSTST (2008)
Lukasz Wiklendt, Stephan K. Chalup, María M. Seron
Quadratic Leaky Integrate-and-Fire Neural Network Tuned with an Evolution-Strategy for a Simulated 3D Biped Walking Controller. HIS (2008)
Aaron S. W. Wong, Stephan K. Chalup
Towards visualisation of sound-scapes through dimensionality reduction. IJCNN (2008)
Stephan K. Chalup, Riley Clement, Joshua Marshall, Chris Tucker, Michael J. Ostwald
Representations of Streetscape Perceptions Through Manifold Learning in the Space of Hough Arrays. ALIFE (2007)
Stephan K. Chalup, Lukasz Wiklendt
Variations of the two-spiral task. Connect. Sci. 19 (2) (2007)
Stephan K. Chalup, Riley Clement, Chris Tucker, Michael J. Ostwald
Modelling Architectural Visual Experience Using Non-linear Dimensionality Reduction. ACAL (2007)
Stephan K. Chalup, Craig L. Murch, Michael J. Quinlan
Machine Learning With AIBO Robots in the Four-Legged League of RoboCup. IEEE Trans. Syst. Man Cybern. Part C 37 (3) (2007)
Christian Ullrich, Detlef Seese, Stephan K. Chalup
Foreign Exchange Trading with Support Vector Machines. GfKl (2006)
Stephan K. Chalup, Drew Mellor, Fran Rosamond
The machine intelligence Hex project. Comput. Sci. Educ. 15 (4) (2005)
Michael J. Quinlan, Craig L. Murch, Richard H. Middleton, Stephan K. Chalup
Traction Monitoring for Collision Detection with Legged Robots. RoboCup (2003)
Stephan K. Chalup, Alan D. Blair
Incremental training of first order recurrent neural networks to predict a context-sensitive language. Neural Networks 16 (7) (2003)
Stephan K. Chalup
Towards staged evolution of an artificial player for Hex by enlarging the boardsize during training. IEEE Congress on Evolutionary Computation (2003)
Michael J. Quinlan, Stephan K. Chalup, Richard H. Middleton
Application of SVMs for Colour Classification and Collision Detection with AIBO Robots. NIPS (2003)
Elizabeth Chang, Jon Davis, Stephan K. Chalup
A New Look At the Enterprise Information System Life Cycle - Introducing the Concept of Generational Change. ICEIS (3) (2003)
Stephan K. Chalup, Drew Mellor
The Machine Intelligence Hex Project -An Overview. Aust. J. Intell. Inf. Process. Syst. 8 (1) (2002)
Stephan K. Chalup
Incremental Learning in Biological and Machine Learning Systems. Int. J. Neural Syst. 12 (6) (2002)
Stephan K. Chalup, Alan D. Blair
Software for Analysing Recurrent Neural Nets That Learn to Predict Non-regular Languages. ICGI (2002)
Stephan K. Chalup, Frédéric Maire
A study on hill climbing algorithms for neural network training. CEC (1999)
Michael Towsey, Joachim Diederich, Ingo Schellhammer, Stephan K. Chalup, Claudia Brugman
Natural Language Learning by Recurrent Neural Networks: A Comparison with probabilistic approaches. CoNLL (1998)