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Stephan K. Chalup
Person information
- affiliation: University of Newcastle, School of Electrical Engineering and Computing, Callaghan, NSW, Australia
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2020 – today
- 2024
- [j25]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]Muhammad Basit Shahab
, Sarah J. Johnson
Data-Driven Low-Complexity Detection in Grant-Free NOMA for IoT. IEEE Internet Things J. 11(7): 12388-12407 (2024) - [i10]Khalil Mathieu Hannouch, Stephan K. Chalup:
Generating Topologically and Geometrically Diverse Manifold Data in Dimensions Four and Below. CoRR abs/2410.07115 (2024) - 2023
- [j23]Allan M. C. Bretas
A decentralised multi-agent system for rail freight traffic management. Ann. Oper. Res. 320(2): 631-661 (2023) - [c64]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]Ysobel Sims, Alexandre Mendes, Stephan K. Chalup:
Enhanced Embeddings in Zero-Shot Learning for Environmental Audio. ICASSP 2023: 1-5 - [c62]Alexander Biddulph
Stereo Visual Mesh for Generating Sparse Semantic Maps at High Frame Rates. ICONIP (6) 2023: 161-178 - [c61]Matthew Muller
Topological Dynamics of Functional Neural Network Graphs During Reinforcement Learning. ICONIP (9) 2023: 190-204 - [c60]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]Khalil Mathieu Hannouch, Stephan K. Chalup:
Learning To See Topological Properties In 4D Using Convolutional Neural Networks. TAG-ML 2023: 437-454 - [i9]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) - [i8]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) - 2022
- [j22]Ali Bakhshi
CyTex: Transforming speech to textured images for speech emotion recognition. Speech Commun. 139: 62-75 (2022) - [c58]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
- [j21]Asad Abbas, Stephan K. Chalup
Affective analysis of visual scenes using face pareidolia and scene-context. Neurocomputing 437: 72-83 (2021) - [c57]Brendan Rogers, Nasimul Noman, Stephan K. Chalup, Pablo Moscato:
Evolutionary Hyperparameter Optimisation for Sentence Classification. CEC 2021: 958-965 - [c56]Syed Qaisar Jalil, Stephan K. Chalup, Mubashir Husain Rehmani:
Cognitive Radio Spectrum Sensing and Prediction Using Deep Reinforcement Learning. IJCNN 2021: 1-8 - 2020
- [j20]Ali Bakhshi
Recognition of emotion from speech using evolutionary cepstral coefficients. Multim. Tools Appl. 79(47): 35739-35759 (2020) - [j19]Maryam Mahsal Khan
Performance of evolutionary wavelet neural networks in acrobot control tasks. Neural Comput. Appl. 32(12): 8493-8505 (2020) - [c55]Seyedeh Zahra Mirjalili, Stephan K. Chalup
Robust Multi-Objective optimization using Conditional Pareto Optimal Dominance. CEC 2020: 1-8 - [c54]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]Ali Bakhshi
Multimodal Emotion Recognition Based on Speech and Physiological Signals Using Deep Neural Networks. ICPR Workshops (6) 2020: 289-300 - [c52]Syed Qaisar Jalil, Mubashir Husain Rehmani, Stephan K. Chalup
DQR: Deep Q-Routing in Software Defined Networks. IJCNN 2020: 1-8 - [c51]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]Mohamad Mobasher-Kashani, Nasimul Noman, Stephan K. Chalup
Parallel LSTM Architectures for Non-Intrusive Load Monitoring in Smart Homes. SSCI 2020: 1272-1279 - [p1]Ali Bakhshi
Fast Evolution of CNN Architecture for Image Classification. Deep Neural Evolution 2020: 209-229
2010 – 2019
- 2019
- [j18]Fayeem Aziz
Semi-Supervised Manifold Alignment Using Parallel Deep Autoencoders. Algorithms 12(9): 186 (2019) - [j17]Seyedeh Zahra Mirjalili, Seyedali Mirjalili
Improving the reliability of implicit averaging methods using new conditional operators for robust optimization. Swarm Evol. Comput. 51 (2019) - [c49]Ali Bakhshi
Fast Automatic Optimisation of CNN Architectures for Image Classification Using Genetic Algorithm. CEC 2019: 1283-1290 - [c48]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]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]Asad Abbas, Stephan K. Chalup
The Impact of Image Resolution on Facial Expression Analysis with CNNs. IJCNN 2019: 1-8 - [c45]Fayeem Aziz
Testing the Robustness of Manifold Learning on Examples of Thinned-Out Data. IJCNN 2019: 1-8 - [c44]Rahul Paul, Stephan K. Chalup
Estimating Betti Numbers Using Deep Learning. IJCNN 2019: 1-7 - [c43]Brandon Zahn, Jake Fountain, Trent Houliston, Alexander Biddulph, Stephan K. Chalup
Optimization of Robot Movements Using Genetic Algorithms and Simulation. RoboCup 2019: 466-475 - [c42]Seyedeh Zahra Mirjalili, Hongyu Zhang
A Novel U-Shaped Transfer Function for Binary Particle Swarm Optimisation. SocProS (1) 2019: 241-259 - [e2]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] - [i7]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]Fayeem Aziz, Stephan K. Chalup, James Juniper:
Big Data in IoT Systems. CoRR abs/1905.00490 (2019) - 2018
- [j16]Ming Ma
Uncertainty Estimation in the Neural Model for Aeromagnetic Compensation. IEEE Geosci. Remote. Sens. Lett. 15(12): 1942-1946 (2018) - [c41]Daniel Ginn, Alexandre Mendes, Stephan K. Chalup
Monocular ORB-SLAM on a Humanoid Robot for Localization Purposes. Australasian Conference on Artificial Intelligence 2018: 77-82 - [c40]Indriani Puspitasari Astono, James S. Welsh
Adjacent Network for Semantic Segmentation of Liver CT Scans. BIBE 2018: 35-40 - [c39]Fayeem Aziz
Aligning Manifolds of Double Pendulum Dynamics Under the Influence of Noise. ICONIP (7) 2018: 74-85 - [c38]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]Trent Houliston
Visual Mesh: Real-Time Object Detection Using Constant Sample Density. RoboCup 2018: 45-56 - [c36]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]Syed Qaisar Jalil, Stephan K. Chalup
A Smart Meter Firmware Update Strategy Through Network Coding for AMI Network. SGIoT 2018: 68-77 - [i5]Trent Houliston
Visual Mesh: Real-time Object Detection Using Constant Sample Density. CoRR abs/1807.08405 (2018) - [i4]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]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) - 2017
- [j15]Maryam Mahsal Khan
Evolving multi-dimensional wavelet neural networks for classification using Cartesian Genetic Programming. Neurocomputing 247: 39-58 (2017) - [j14]Rahul Paul, Stephan K. Chalup
A study on validating non-linear dimensionality reduction using persistent homology. Pattern Recognit. Lett. 100: 160-166 (2017) - [c34]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]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 - [c32]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
- [j13]Trent Houliston, Jake Fountain, Yuqing Lin
NUClear: A Loosely Coupled Software Architecture for Humanoid Robot Systems. Frontiers Robotics AI 3: 20 (2016) - [c31]Maryam Mahsal Khan, Stephan K. Chalup
Parkinson's Disease Data Classification Using Evolvable Wavelet Neural Networks. ACALCI 2016: 113-124 - [c30]Ross J. Bille, Yuqing Lin
RTCSS: a framework for developing real-time peer-to-peer web applications. ACSW 2016: 56 - [c29]Mitchell Metcalfe, Brendan Annable, Monica Olejniczak, Stephan K. Chalup
A study on detecting three-dimensional balls using boosted classifiers. ACSW 2016: 71 - 2015
- [j12]Bilal H. Abed-alguni, Stephan K. Chalup
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]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) - [c28]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]Josiah Walker, Stephan K. Chalup:
Learning Nursery Rhymes Using Adaptive Parameter Neurodynamic Programming. ACALCI 2015: 196-209 - [c26]Trent Houliston, Mitchell Metcalfe, Stephan K. Chalup
A Fast Method for Adapting Lookup Tables Applied to Changes in Lighting Colour. RoboCup 2015: 190-201 - [e1]Stephan K. Chalup
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] - [i2]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
- [j10]Benedikt Boecking
Support vector clustering of time series data with alignment kernels. Pattern Recognit. Lett. 45: 129-135 (2014) - [j9]Kenny Hong, Stephan K. Chalup
Affective Visual Perception Using Machine Pareidolia of Facial Expressions. IEEE Trans. Affect. Comput. 5(4): 352-363 (2014) - [c25]Maryam Mahsal Khan, Stephan K. Chalup, Alexandre Mendes:
Evolving Wavelet Neural Networks for Breast Cancer Classi cation. AusDM 2014: 121-130 - [c24]Lei Tan, Ross Bille, Yuqing Lin
Software Development in the City Evolutions Project. IE 2014: 18:1-18:7 - [i1]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) - 2013
- [j8]Arash Jalalian, Stephan K. Chalup
GDTW-P-SVMs: Variable-length time series analysis using support vector machines. Neurocomputing 99: 270-282 (2013) - [c23]Kenny Hong, Stephan K. Chalup
A component based approach for classifying the seven universal facial expressions of emotion. CICAC 2013: 1-8 - [c22]Aaron S. W. Wong
Robot emotions generated and modulated by visual features of the environment. CICAC 2013: 9-16 - [c21]Kenny Hong, Stephan K. Chalup
Scene perception using pareidolia of faces and expressions of emotion. CICAC 2013: 79-86 - [c20]Shashank Bhatia, Stephan K. Chalup:
A Model of Heteroassociative Memory: Deciphering Surprising Features and Locations. ICCC 2013: 139-146 - [c19]Jake Fountain, Josiah Walker, David M. Budden, Alexandre Mendes
Motivated Reinforcement Learning for Improved Head Actuation of Humanoid Robots. RoboCup 2013: 268-279 - 2012
- [c18]Kenny Hong, Stephan K. Chalup
An experimental evaluation of pairwise adaptive support vector machines. IJCNN 2012: 1-8 - [c17]Arash Jalalian, Stephan K. Chalup
Analysis of pedestrian spatial behaviour using GDTW-P-SVMs. IJCNN 2012: 1-8 - [c16]David M. Budden, Shannon Fenn
Evaluation of Colour Models for Computer Vision Using Cluster Validation Techniques. RoboCup 2012: 261-272 - 2010
- [c15]Arash Jalalian, Stephan K. Chalup
Intelligent evaluation of urban streetscape designs by analysing pedestrian body dynamics. IWACI 2010: 442-447 - [c14]Kenny Hong, Stephan K. Chalup
A component based approach improves classification of discrete facial expressions over a holistic approach. IJCNN 2010: 1-8
2000 – 2009
- 2009
- [j7]Lukasz Wiklendt
A small spiking neural network with LQR control applied to the acrobot. Neural Comput. Appl. 18(4): 369-375 (2009) - 2008
- [c13]Lukasz Wiklendt
Quadratic Leaky Integrate-and-Fire Neural Network Tuned with an Evolution-Strategy for a Simulated 3D Biped Walking Controller. HIS 2008: 144-149 - [c12]Aaron S. W. Wong
Towards visualisation of sound-scapes through dimensionality reduction. IJCNN 2008: 2833-2840 - [c11]Stephan K. Chalup
A face-house paradigm for architectural scene analysis. CSTST 2008: 397-403 - 2007
- [j6]Stephan K. Chalup
Variations of the two-spiral task. Connect. Sci. 19(2): 183-199 (2007) - [j5]Stephan K. Chalup
Machine Learning With AIBO Robots in the Four-Legged League of RoboCup. IEEE Trans. Syst. Man Cybern. Part C 37(3): 297-310 (2007) - [c10]Stephan K. Chalup, Riley Clement, Chris Tucker, Michael J. Ostwald:
Modelling Architectural Visual Experience Using Non-linear Dimensionality Reduction. ACAL 2007: 84-95 - [c9]Stephan K. Chalup
Representations of Streetscape Perceptions Through Manifold Learning in the Space of Hough Arrays. ALIFE 2007: 362-369 - 2006
- [c8]Christian Ullrich, Detlef Seese, Stephan K. Chalup:
Foreign Exchange Trading with Support Vector Machines. GfKl 2006: 539-546 - 2005
- [j4]Stephan K. Chalup
The machine intelligence Hex project. Comput. Sci. Educ. 15(4): 245-273 (2005) - 2003
- [j3]Stephan K. Chalup
Incremental training of first order recurrent neural networks to predict a context-sensitive language. Neural Networks 16(7): 955-972 (2003) - [c7]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]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]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]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
- [j2]Stephan K. Chalup, Drew Mellor:
The Machine Intelligence Hex Project -An Overview. Aust. J. Intell. Inf. Process. Syst. 8(1): 6-23 (2002) - [j1]Stephan K. Chalup
Incremental Learning in Biological and Machine Learning Systems. Int. J. Neural Syst. 12(6): 447-465 (2002) - [c3]Stephan K. Chalup, Alan D. Blair:
Software for Analysing Recurrent Neural Nets That Learn to Predict Non-regular Languages. ICGI 2002: 296-298
1990 – 1999
- 1999
- [c2]Stephan K. Chalup
A study on hill climbing algorithms for neural network training. CEC 1999: 2014-2021 - 1998
- [c1]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
Coauthor Index
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last updated on 2024-11-20 21:58 CET by the dblp team
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