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Stephan K. Chalup

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affiliation: University of Newcastle, School of Electrical Engineering and Computing, Callaghan, NSW, Australia

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2024
[j25]
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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): 1933-1952 (2024)
[j24]
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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): 12388-12407 (2024)
2023
[j23]
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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): 631-661 (2023)
2022
[j22]
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Ali Bakhshi, Ali Harimi, Stephan K. Chalup:
CyTex: Transforming speech to textured images for speech emotion recognition. Speech Commun. 139: 62-75 (2022)
2021
[j21]
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Asad Abbas, Stephan K. Chalup:
Affective analysis of visual scenes using face pareidolia and scene-context. Neurocomputing 437: 72-83 (2021)
2020
[j20]
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Ali Bakhshi, Stephan K. Chalup, Ali Harimi, Seyed Mostafa Mirhassani:
Recognition of emotion from speech using evolutionary cepstral coefficients. Multim. Tools Appl. 79(47): 35739-35759 (2020)
[j19]
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Maryam Mahsal Khan, Alexandre Mendes, Stephan K. Chalup:
Performance of evolutionary wavelet neural networks in acrobot control tasks. Neural Comput. Appl. 32(12): 8493-8505 (2020)
2019
[j18]
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Fayeem Aziz, Aaron S. W. Wong, Stephan K. Chalup:
Semi-Supervised Manifold Alignment Using Parallel Deep Autoencoders. Algorithms 12(9): 186 (2019)
[j17]
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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)
2018
[j16]
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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): 1942-1946 (2018)
2017
[j15]
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Maryam Mahsal Khan, Alexandre Mendes, Ping Zhang, Stephan K. Chalup:
Evolving multi-dimensional wavelet neural networks for classification using Cartesian Genetic Programming. Neurocomputing 247: 39-58 (2017)
[j14]
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Rahul Paul, Stephan K. Chalup:
A study on validating non-linear dimensionality reduction using persistent homology. Pattern Recognit. Lett. 100: 160-166 (2017)
2016
[j13]
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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: 20 (2016)
2015
[j12]
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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): 213-226 (2015)
[j11]
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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): 227 (2015)
2014
[j10]
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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: 129-135 (2014)
[j9]
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Kenny Hong, Stephan K. Chalup, Robert A. R. King:
Affective Visual Perception Using Machine Pareidolia of Facial Expressions. IEEE Trans. Affect. Comput. 5(4): 352-363 (2014)
2013
[j8]
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Arash Jalalian, Stephan K. Chalup:
GDTW-P-SVMs: Variable-length time series analysis using support vector machines. Neurocomputing 99: 270-282 (2013)
2009
[j7]
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Lukasz Wiklendt, Stephan K. Chalup, Rick Middleton:
A small spiking neural network with LQR control applied to the acrobot. Neural Comput. Appl. 18(4): 369-375 (2009)
2007
[j6]
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Stephan K. Chalup, Lukasz Wiklendt:
Variations of the two-spiral task. Connect. Sci. 19(2): 183-199 (2007)
[j5]
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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): 297-310 (2007)
2005
[j4]
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Stephan K. Chalup, Drew Mellor, Fran Rosamond:
The machine intelligence Hex project. Comput. Sci. Educ. 15(4): 245-273 (2005)
2003
[j3]
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Stephan K. Chalup, Alan D. Blair:
Incremental training of first order recurrent neural networks to predict a context-sensitive language. Neural Networks 16(7): 955-972 (2003)
2002
[j2]
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Stephan K. Chalup, Drew Mellor:
The Machine Intelligence Hex Project -An Overview. Aust. J. Intell. Inf. Process. Syst. 8(1): 6-23 (2002)
[j1]
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Stephan K. Chalup:
Incremental Learning in Biological and Machine Learning Systems. Int. J. Neural Syst. 12(6): 447-465 (2002)

Conference and Workshop Papers

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2023
[c64]
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Dylan Peek, Matthew P. Skerritt, Stephan K. Chalup:
Synthetic Data Generation and Deep Learning for the Topological Analysis of 3D Data. DICTA 2023: 121-128
[c63]
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Ysobel Sims, Alexandre Mendes, Stephan K. Chalup:
Enhanced Embeddings in Zero-Shot Learning for Environmental Audio. ICASSP 2023: 1-5
[c62]
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Alexander Biddulph, Trent Houliston, Alexandre Mendes, Stephan K. Chalup:
Stereo Visual Mesh for Generating Sparse Semantic Maps at High Frame Rates. ICONIP (6) 2023: 161-178
[c61]
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Matthew Muller, Steve Kroon, Stephan K. Chalup:
Topological Dynamics of Functional Neural Network Graphs During Reinforcement Learning. ICONIP (9) 2023: 190-204
[c60]
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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: 244-251
[c59]
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Khalil Mathieu Hannouch, Stephan K. Chalup:
Learning To See Topological Properties In 4D Using Convolutional Neural Networks. TAG-ML 2023: 437-454
2022
[c58]
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Brendan Rogers, Nasimul Noman, Stephan K. Chalup, Pablo Moscato:
Joint Optimization of Topology and Hyperparameters of Hybrid DNNs for Sentence Classification. CEC 2022: 1-8
2021
[c57]
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Brendan Rogers, Nasimul Noman, Stephan K. Chalup, Pablo Moscato:
Evolutionary Hyperparameter Optimisation for Sentence Classification. CEC 2021: 958-965
[c56]
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  - conf/ijcnn/JalilCR21
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Syed Qaisar Jalil, Stephan K. Chalup, Mubashir Husain Rehmani:
Cognitive Radio Spectrum Sensing and Prediction Using Deep Reinforcement Learning. IJCNN 2021: 1-8
2020
[c55]
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Seyedeh Zahra Mirjalili, Stephan K. Chalup, Seyedali Mirjalili, Nasimul Noman:
Robust Multi-Objective optimization using Conditional Pareto Optimal Dominance. CEC 2020: 1-8
[c54]
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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: 969-975
[c53]
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Ali Bakhshi, Stephan K. Chalup:
Multimodal Emotion Recognition Based on Speech and Physiological Signals Using Deep Neural Networks. ICPR Workshops (6) 2020: 289-300
[c52]
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Syed Qaisar Jalil, Mubashir Husain Rehmani, Stephan K. Chalup:
DQR: Deep Q-Routing in Software Defined Networks. IJCNN 2020: 1-8
[c51]
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Syed Qaisar Jalil, Mubashir Husain Rehmani, Stephan K. Chalup:
A Deep Reinforcement Learning Approach to Fair Distributed Dynamic Spectrum Access. MobiQuitous 2020: 236-244
[c50]
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  - conf/ssci/Mobasher-Kashani20
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Mohamad Mobasher-Kashani, Nasimul Noman, Stephan K. Chalup:
Parallel LSTM Architectures for Non-Intrusive Load Monitoring in Smart Homes. SSCI 2020: 1272-1279
2019
[c49]
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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: 1283-1290
[c48]
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Abdul Jabbar, Alexandre Mendes, Stephan K. Chalup:
Comparing Ellipse Detection and Deep Neural Networks for the Identification of Drinking Glasses in Images. ICVS 2019: 319-329
[c47]
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Asad Abbas, Stephan K. Chalup:
From Face Recognition to Facial Pareidolia: Analysing Hidden Neuron Activations in CNNs for Cross-Depiction Recognition. IJCNN 2019: 1-8
[c46]
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Asad Abbas, Stephan K. Chalup:
The Impact of Image Resolution on Facial Expression Analysis with CNNs. IJCNN 2019: 1-8
[c45]
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Fayeem Aziz, Stephan K. Chalup:
Testing the Robustness of Manifold Learning on Examples of Thinned-Out Data. IJCNN 2019: 1-8
[c44]
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Rahul Paul, Stephan K. Chalup:
Estimating Betti Numbers Using Deep Learning. IJCNN 2019: 1-7
[c43]
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Brandon Zahn, Jake Fountain, Trent Houliston, Alexander Biddulph, Stephan K. Chalup, Alexandre Mendes:
Optimization of Robot Movements Using Genetic Algorithms and Simulation. RoboCup 2019: 466-475
[c42]
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  - conf/socpros/MirjaliliZMCN19
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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: 241-259
2018
[c41]
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  - conf/ausai/GinnMCF18
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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: 77-82
[c40]
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  - conf/bibe/AstonoWC18
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Indriani Puspitasari Astono, James S. Welsh, Stephan K. Chalup:
Adjacent Network for Semantic Segmentation of Liver CT Scans. BIBE 2018: 35-40
[c39]
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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: 74-85
[c38]
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Alexander Biddulph, Trent Houliston, Alexandre Mendes, Stephan K. Chalup:
Comparing Computing Platforms for Deep Learning on a Humanoid Robot. ICONIP (7) 2018: 120-131
[c37]
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Trent Houliston, Stephan K. Chalup:
Visual Mesh: Real-Time Object Detection Using Constant Sample Density. RoboCup 2018: 45-56
[c36]
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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: 362-373
[c35]
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Syed Qaisar Jalil, Stephan K. Chalup, Mubashir Husain Rehmani:
A Smart Meter Firmware Update Strategy Through Network Coding for AMI Network. SGIoT 2018: 68-77
2017
[c34]
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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: 25-37
[c33]
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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: 561-568
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Abdul Jabbar, Luke Farrawell, Jake Fountain, Stephan K. Chalup:
Training Deep Neural Networks for Detecting Drinking Glasses Using Synthetic Images. ICONIP (2) 2017: 354-363
2016
[c31]
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Maryam Mahsal Khan, Stephan K. Chalup, Alexandre Mendes:
Parkinson's Disease Data Classification Using Evolvable Wavelet Neural Networks. ACALCI 2016: 113-124
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Ross J. Bille, Yuqing Lin, Stephan K. Chalup:
RTCSS: a framework for developing real-time peer-to-peer web applications. ACSW 2016: 56
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Mitchell Metcalfe, Brendan Annable, Monica Olejniczak, Stephan K. Chalup:
A study on detecting three-dimensional balls using boosted classifiers. ACSW 2016: 71
2015
[c28]
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Jake Fountain, Stephan K. Chalup:
Point of Regard from Eye Velocity in Stereoscopic Virtual Environments Based on Intersections of Hypothesis Surfaces. ACALCI 2015: 125-141
[c27]
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Josiah Walker, Stephan K. Chalup:
Learning Nursery Rhymes Using Adaptive Parameter Neurodynamic Programming. ACALCI 2015: 196-209
[c26]
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Trent Houliston, Mitchell Metcalfe, Stephan K. Chalup:
A Fast Method for Adapting Lookup Tables Applied to Changes in Lighting Colour. RoboCup 2015: 190-201
2014
[c25]
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Maryam Mahsal Khan, Stephan K. Chalup, Alexandre Mendes:
Evolving Wavelet Neural Networks for Breast Cancer Classi cation. AusDM 2014: 121-130
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Lei Tan, Ross Bille, Yuqing Lin, Stephan K. Chalup, Chris Tucker:
Software Development in the City Evolutions Project. IE 2014: 18:1-18:7
2013
[c23]
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Kenny Hong, Stephan K. Chalup, Robert A. R. King:
A component based approach for classifying the seven universal facial expressions of emotion. CICAC 2013: 1-8
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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: 9-16
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Kenny Hong, Stephan K. Chalup, Robert A. R. King, Michael J. Ostwald:
Scene perception using pareidolia of faces and expressions of emotion. CICAC 2013: 79-86
[c20]
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Shashank Bhatia, Stephan K. Chalup:
A Model of Heteroassociative Memory: Deciphering Surprising Features and Locations. ICCC 2013: 139-146
[c19]
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Jake Fountain, Josiah Walker, David M. Budden, Alexandre Mendes, Stephan K. Chalup:
Motivated Reinforcement Learning for Improved Head Actuation of Humanoid Robots. RoboCup 2013: 268-279
2012
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Kenny Hong, Stephan K. Chalup, Robert A. R. King:
An experimental evaluation of pairwise adaptive support vector machines. IJCNN 2012: 1-8
[c17]
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Arash Jalalian, Stephan K. Chalup, Michael J. Ostwald:
Analysis of pedestrian spatial behaviour using GDTW-P-SVMs. IJCNN 2012: 1-8
[c16]
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David M. Budden, Shannon Fenn, Alexandre Mendes, Stephan K. Chalup:
Evaluation of Colour Models for Computer Vision Using Cluster Validation Techniques. RoboCup 2012: 261-272
2010
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Arash Jalalian, Stephan K. Chalup, Michael J. Ostwald:
Intelligent evaluation of urban streetscape designs by analysing pedestrian body dynamics. IWACI 2010: 442-447
[c14]
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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: 1-8
2008
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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: 144-149
[c12]
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Aaron S. W. Wong, Stephan K. Chalup:
Towards visualisation of sound-scapes through dimensionality reduction. IJCNN 2008: 2833-2840
[c11]
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Stephan K. Chalup, Kenny Hong, Michael J. Ostwald:
A face-house paradigm for architectural scene analysis. CSTST 2008: 397-403
2007
[c10]
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Stephan K. Chalup, Riley Clement, Chris Tucker, Michael J. Ostwald:
Modelling Architectural Visual Experience Using Non-linear Dimensionality Reduction. ACAL 2007: 84-95
[c9]
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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: 362-369
2006
[c8]
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Christian Ullrich, Detlef Seese, Stephan K. Chalup:
Foreign Exchange Trading with Support Vector Machines. GfKl 2006: 539-546
2003
[c7]
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Stephan K. Chalup:
Towards staged evolution of an artificial player for Hex by enlarging the boardsize during training. IEEE Congress on Evolutionary Computation 2003: 2210-2216
[c6]
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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: 40-50
[c5]
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Michael J. Quinlan, Stephan K. Chalup, Richard H. Middleton:
Application of SVMs for Colour Classification and Collision Detection with AIBO Robots. NIPS 2003: 635-642
[c4]
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Michael J. Quinlan, Craig L. Murch, Richard H. Middleton, Stephan K. Chalup:
Traction Monitoring for Collision Detection with Legged Robots. RoboCup 2003: 374-384
2002
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Stephan K. Chalup, Alan D. Blair:
Software for Analysing Recurrent Neural Nets That Learn to Predict Non-regular Languages. ICGI 2002: 296-298
1999
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Stephan K. Chalup, Frédéric Maire:
A study on hill climbing algorithms for neural network training. CEC 1999: 2014-2021
1998
[c1]
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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: 3-10

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2020
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Ali Bakhshi, Stephan K. Chalup, Nasimul Noman:
Fast Evolution of CNN Architecture for Image Classification. Deep Neural Evolution 2020: 209-229

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2019
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Stephan K. Chalup, Tim Niemüller, Jackrit Suthakorn, Mary-Anne Williams:
RoboCup 2019: Robot World Cup XXIII [Sydney, NSW, Australia, July 8, 2019]. Lecture Notes in Computer Science 11531, Springer 2019, ISBN 978-3-030-35698-9 [contents]
2015
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Stephan K. Chalup, Alan D. Blair, Marcus Randall:
Artificial Life and Computational Intelligence - First Australasian Conference, ACALCI 2015, Newcastle, NSW, Australia, February 5-7, 2015. Proceedings. Lecture Notes in Computer Science 8955, Springer 2015, ISBN 978-3-319-14802-1 [contents]

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2023
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Khalil Mathieu Hannouch, Stephan K. Chalup:
Topology Estimation of Simulated 4D Image Data by Combining Downscaling and Convolutional Neural Networks. CoRR abs/2306.14442 (2023)
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Dylan Peek, Matthew P. Skerritt, Stephan K. Chalup:
Synthetic Data Generation and Deep Learning for the Topological Analysis of 3D Data. CoRR abs/2309.16968 (2023)
2019
[i7]
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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 abs/1901.03229 (2019)
[i6]
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Fayeem Aziz, Stephan K. Chalup, James Juniper:
Big Data in IoT Systems. CoRR abs/1905.00490 (2019)
2018
[i5]
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Trent Houliston, Stephan K. Chalup:
Visual Mesh: Real-time Object Detection Using Constant Sample Density. CoRR abs/1807.08405 (2018)
[i4]
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Alex Biddulph, Trent Houliston, Alexandre Mendes, Stephan K. Chalup:
Comparing Computing Platforms for Deep Learning on a Humanoid Robot. CoRR abs/1809.03668 (2018)
[i3]
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Fayeem Aziz, Aaron S. W. Wong, James S. Welsh, Stephan K. Chalup:
Aligning Manifolds of Double Pendulum Dynamics Under the Influence of Noise. CoRR abs/1809.06992 (2018)
2015
[i2]
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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 abs/1502.03203 (2015)
2014
[i1]
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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 abs/1403.6946 (2014)

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