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Research Output 2002 2019

2019

A Hexagonal Cell Automaton Model to Imitate Physarum Polycephalum Competitive Behaviour

Awad, A., Pang, W., Lusseau, D. & Coghill, G. M., Jul 2019, ALIFE 2019: The 2019 Conference on Artificial Life. Fellermann, H., Bacardit, J., Goñi-Moreno, Á. & Füchslin, R. M. (eds.). The MIT Press, p. 203-210 8 p. (Artificial Life Conference Proceedings; vol. 31).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Open Access
File
Cellular automata
Multiobjective optimization
Wireless sensor networks
Brain
Mathematical models

A Physarum-Inspired Competition Algorithm for Solving Discrete Multi-Objective Optimization Problems

Awad, A., Usman, M., Lusseau, D., Coghill, G. M. & Pang, W., 13 Jul 2019, GECCO 2019 Companion - Proceedings of the 2019 Genetic and Evolutionary Computation Conference Companion. López-Ibáñez, M., Auger, A. & Stützle, T. (eds.). New York, USA: ACM, p. 195-196 2 p.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Multiobjective optimization
Cellular automata
Evolutionary algorithms

Data-driven two-layer visual dictionary structure learning

Yu, X., Yu, Z., Wu, L., Pang, W. & Lin, C., 8 Mar 2019, In : Journal of Electronic Imaging. 28, 2, 023006.

Research output: Contribution to journalArticle

Glossaries

DeepSwarm: Optimising Convolutional Neural Networks using Swarm Intelligence

Byla, E. & Pang, W., 30 Jun 2019, (Accepted/In press).

Research output: Contribution to conferencePaper

Explosion gravitation field algorithm with dust sampling for unconstrained optimization

Hu, X., Huang, L., Wang, Y. & Pang, W., 31 Aug 2019, In : Applied Soft Computing. 81, 105500.

Research output: Contribution to journalArticle

Explosions
Dust
Gravitation
Sampling
Astronomy

FREDPC: A Feasible Residual Error-Based Density Peak Clustering Algorithm With the Fragment Merging Strategy

Parmar, M. D., Pang, W., Hao, D., Jang, J., Liupu, W. & Zhou, Y., 3 Jul 2019, In : IEEE Access. 7, p. 89789-89804 16 p.

Research output: Contribution to journalArticle

Open Access
File
Merging
Clustering algorithms
Specifications
Experiments

Inferring Structure and Parameters of Dynamic Systems using Latin Hypercube Sampling Multi Dimensional Uniformity-Particle Swarm Optimization

Usman, M., Awad, A., Pang, W. & Coghill, G. M., 13 Jul 2019, GECCO 2019 Companion - Proceedings of the 2019 Genetic and Evolutionary Computation Conference Companion. López-Ibáñez, M., Auger, A. & Stützle, T. (eds.). New York, USA: ACM, p. 101-102 2 p.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Particle swarm optimization (PSO)
Dynamical systems
Sampling
Time series
Costs

LatinPSO: An algorithm for simultaneously inferring structure and parameters of ordinary differential equations models

Tian, X., Pang, W., Wang, Y., Guo, K. & Zhou, Y., Aug 2019, In : BioSystems. 182, p. 8-16 9 p.

Research output: Contribution to journalArticle

Ordinary differential equations
Ordinary differential equation
HIV
Latin Hypercube Sampling
Identification Problem

Swarm Inspired Approaches for K-prototypes clustering

Albalawi, H., Pang, W. & Coghill, G. M., 30 Jun 2019, (Accepted/In press).

Research output: Contribution to conferencePaper

Towards machine learning approaches for predicting the self-healing efficiency of materials

Wang, W., Moreau, N. G., Yuan, Y., Race, P. R. & Pang, W., Oct 2019, In : Computational Materials Science. 168, p. 180-187 8 p.

Research output: Contribution to journalArticle

Open Access
File
machine learning
Self-healing materials
healing
Learning systems
Machine Learning

Towards Real-Time Detection of Squamous PreCancers from Oesophageal Endoscopic Videos

Gao, X., Braden, B., Taylor, S. & Pang, W., 14 Oct 2019, (Accepted/In press).

Research output: Contribution to conferencePaper

Masks
Pixels
Epithelial Cells
Processing
Deep learning
2018

A Conceptual Framework of Starlings Swarm Intelligence Intrusion Prevention for Software Defined Networks

Karatu, M. T., Pang, W. & Coghill, G. M., 2018, ReaLX’18: Reasoning, Learning & Explainability in AI. Martin, K., Wiratunga, N. & Smith, L. S. (eds.). CEUR-WS, Vol. 2151. (CEUR Workshop Proceedings).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

5 Downloads (Pure)

A General Framework for Accelerating Swarm Intelligence Algorithms on FPGAs, GPUs and Multi-core CPUs

Li, D., Huang, L., Wang, K., Pang, W., Zhou, Y. & Zhang, R., 2018, In : IEEE Access. 6, p. 72327 - 72344 19 p.

Research output: Contribution to journalArticle

Open Access
File
Program processors
Field programmable gate arrays (FPGA)
Hardware
Throughput
Swarm intelligence
4 Citations (Scopus)
6 Downloads (Pure)

An Evolutionary Computation Based Feature Selection Method for Intrusion Detection

Xue, Y., Jia, W., Zhao, X. & Pang, W., 9 Oct 2018, In : Security and Communication Networks. 2018, 2492956.

Research output: Contribution to journalArticle

Open Access
File
Intrusion detection
Evolutionary algorithms
Feature extraction
Wireless sensor networks
Network security
2 Citations (Scopus)
8 Downloads (Pure)

An improved EMD-based dissimilarity Metric for Unsupervised Linear Subspace Learning

Yu, X., Yu, Z., Pang, W., Li, M. & Wu, L., 18 Feb 2018, In : Complexity. 2018, 24 p., 8917393.

Research output: Contribution to journalArticle

Open Access
File
Earth (planet)
Feature extraction
Experiments
2 Citations (Scopus)

A Self-adaptive Artificial Bee Colony Algorithm with Symmetry Initialization

Xue, Y., Jiang, J., Ma, T., Liu, J., Geng, H. & Pang, W., 2018, In : Journal of Internet Technology. 19, 5, p. 1347-1362 16 p.

Research output: Contribution to journalArticle

Open Access
File
Evolutionary algorithms
3 Citations (Scopus)
4 Downloads (Pure)

A Self-adaptive Fireworks Algorithm for Classification Problems

Xue, Y., Zhao, B., Ma, T. & Pang, W., 2018, In : IEEE Access. 6, p. 44406-44416 11 p.

Research output: Contribution to journalArticle

Open Access
File
Adaptive algorithms
Global optimization
Linear equations
Evolutionary algorithms
Particle swarm optimization (PSO)

CLEMI-imputation evaluation

Chapman, A., Pang, W. & Coghill, G., 20 Aug 2018, SACI 2018 - IEEE 12th International Symposium on Applied Computational Intelligence and Informatics, Proceedings. Institute of Electrical and Electronics Engineers Inc., p. 373-378 6 p. 8440981

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Imputation
Evaluation
Missing Data
Justify
Learning systems
2 Citations (Scopus)
6 Downloads (Pure)

Density propagation based adaptive multi-density clustering algorithm

Wang, Y., Pang, W. & Zhou, Y., 18 Jul 2018, In : PloS ONE. 13, 7, p. 1-13 13 p., e0198948.

Research output: Contribution to journalArticle

Open Access
File
Clustering algorithms
Cluster Analysis
Experiments
spatial data
cohesion
13 Downloads (Pure)

Non-constructive interval simulation of dynamic systems

Pang, W., Bruce, A. M. & Coghill, G. M., 2018, Proceeding of the 31st International Workshop on Qualitative Reasoning (co-located at IJCAI'18). Falomir, Z., Coghill, G. M. & Pang, W. (eds.). p. 70-77 8 p.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Open Access
File

Physarum Inspired Connectivity and Restoration for Wireless Sensor and Actor Networks

Awad, A., Pang, W. & Coghill, G. M., 31 Oct 2018, Advances in Computational Intelligence Systems: Contributions Presented at the 18th UK Workshop on Computational Intelligence, September 5-7, 2018, Nottingham, UK. Lotfi, A., Bouchachia, H., Gegov, A., Langensiepen, C. & McGinnity, M. (eds.). Springer , p. 327-338 12 p. (Advances in Intelligent Systems and Computing (AISC); vol. 840).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Restoration
Sensors
Base stations
Wireless sensor networks
Repair

Physarum Inspired Model for Mobile Sensor Nodes Deployment in the Presence of Obstacles

Awad, A., Pang, W. & Coghill, G., 2018, International Conference for Emerging Technologies in Computing iCETiC 2018. Miraz, M. H., Excell, P., Ware, A., Soomro, S. & Ali, M. (eds.). Springer , p. 153-160 8 p. (Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering (LNICST); vol. 200).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Sensor nodes
Sensors
Wireless sensor networks

Towards a Robust Imputation Evaluation Framework

Chapman, A., Pang, W. & Coghill, G., 24 Jun 2018, Proceedings of The Seventh International Conference on Intelligent Systems and Applications. Magalhães, G. M. & Gonçalves, A. (eds.). IARIA, p. 7-13 7 p. (INTELLI ).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Open Access
4 Downloads (Pure)

Towards making NLG a voice for interpretable Machine Learning

Forrest, J., Sripada, S., Pang, W. & Coghill, G., 30 Nov 2018, Proceedings of The 11th International Natural Language Generation Conference. Krahmer, E., Gatt, A. & Goudbeek, M. (eds.). Association for Computational Linguistics (ACL), p. 177-182 6 p. W18-6522

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Open Access
File
Learning systems
1 Citation (Scopus)

ε-Distance Weighted Support Vector Regression

Ou, G., Wang, Y., Huang, L., Pang, W. & Coghill, G. M., 22 Jul 2018, Advances in Knowledge Discovery and Data Mining: 22nd Pacific-Asia Conference, PAKDD 2018, Melbourne, VIC, Australia, June 3-6, 2018, Proceedings, Part I. Phung, D., Tseng, V. S., Webb, P. G. I., Ho, B., Ganji, M. & Rashidi, L. (eds.). Springer International Publishing, 17. (Lecture Notes in Artificial Intelligence).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Open Access
File
2017

A Novel Diversity Measure for Understanding Movie Ranks in Movie Collaboration Networks

Ma, M., Pang, W., Huang, L. & Wang, Z., 2017, The Pacific-Asia Conference on Knowledge Discovery and Data Mining: PAKDD 2017. Kim, J., Shim, K., Cao, L., Lee, J. G., Lin, X. & Moon, Y. S. (eds.). Cham: Springer , p. 750-761 11 p. (Lecture Notes in Computer Science; vol. 10234).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Chemical analysis
9 Downloads (Pure)

Gravitation Field Algorithm with Optimal Detection for Unconstrained Optimization

Huang, L., Hu, X., Wang, Y., Zhang, F., Liu, Z. & Pang, W., 2017, The 2017 4th International Conference on Systems and Informatics (ICSAI 2017). IEEE Press, p. 1328-1333 6 p.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Open Access
File
astronomy
heuristics
genetic algorithm
planet
detection
13 Downloads (Pure)

Large Margin Distribution Machine Recursive Feature Elimination

Ou, G., Wang, Y., Pang, W. & Coghill, G. M., 2017, The 2017 4th International Conference on Systems and Informatics (ICSAI 2017) . IEEE Press, p. 1427-1432 6 p.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Open Access
File
Feature extraction
Experiments
2016
9 Citations (Scopus)
6 Downloads (Pure)

A link density clustering algorithm based on automatically selecting density peaks for overlapping community detection

Huang, L., Wang, G., Wang, Y., Pang, W. & Ma, Q., 30 Sep 2016, In : International Journal of Modern Physics B. 30, 24, 15 p., 1650167.

Research output: Contribution to journalArticle

Open Access
File
modularity
boxes
plots
2 Citations (Scopus)
5 Downloads (Pure)

A Novel Spatio-Temporal Data Storage and Index Method for ARM-Based Hadoop Server

Han, L., Huang, L., Yang, X., Pang, W. & Wang, K., 2016, Cloud Computing and Security: Second International Conference, ICCCS 2016. Lecture Notes in Computer Science. Sun, X., Liu, A., Chao, H-C. & Bertino, E. (eds.). Springer , p. 206-216 11 p. (Information Systems and Applications, incl. Internet/Web, and HCI (Lecture Notes in Computer Science); vol. 10039).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Open Access
File
Cloud computing
Servers
Data storage equipment
Electric power transmission networks
Resource allocation

e-Distance Weighted Support Vector Regression

Wang, Y., Ou, G., Pang, W., Huang, L. & Coghill, G. M., 2016, ArXiv, p. 1-10, 10 p.

Research output: Working paper

8 Downloads (Pure)

FdDCA: A Novel Fuzzy Deterministic Dendritic Cell Algorithm

Mukhtar, N., Coghill, G. M. & Pang, W., 20 Jul 2016, GECCO '16 Companion Proceedings of the 2016 on Genetic and Evolutionary Computation Conference Companion. Friedrich, T., Neumann, F. & Sutton, A. M. (eds.). ACM, p. 1007-1010 4 p.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Open Access
File
Dendritic Cells
Immune system
Fuzzy inference
Fuzzy sets
Linguistics
1 Citation (Scopus)

Link community detection based on line graphs with a novel link similarity measure

Wang, G., Huang, L., Wang, Y., Pang, W. & Ma, Q., 10 Mar 2016, In : International Journal of Modern Physics B. 30, 6, 18 p., 1650023.

Research output: Contribution to journalArticle

modularity
partitions

Multimodal Action Recognition

Jia, C., Pang, W. & Fu, Y., 2016, Human Activity Recognition and Prediction. Fu, Y. (ed.). Switzerland: Springer , p. 71-85 15 p.

Research output: Chapter in Book/Report/Conference proceedingChapter

4 Downloads (Pure)

Partitioning Clustering Based on Support Vector Ranking

Peng, Q., Wang, Y., Ou, G., Huang, L. & Pang, W., 2016, Advanced Data Mining and Applications: 12th International Conference, ADMA 2016, Gold Coast, QLD, Australia, December 12-15, 2016, Proceedings. Li, J., Li, X., Wang, S., Li, J. & Sheng, Q. Z. (eds.). Springer International Publishing, Vol. 10086. p. 726-737 12 p. (Lecture Notes in Artificial Intelligence).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Open Access
File
Sorting
Clustering algorithms
Costs
4 Downloads (Pure)

PUEPro: A Computational Pipeline for Prediction of Urine Excretory Proteins

Wang, Y., Du, W., Liang, Y., Chen, X., Zhang, C., Pang, W. & Xu, Y., 2016, Advanced Data Mining and Applications: 2th International Conference, ADMA 2016, Gold Coast, QLD, Australia, December 12-15, 2016, Proceedings. Li, J., Li, X., Wang, S., Li, J. & Sheng, Q. Z. (eds.). Springer International Publishing, p. 714-725 12 p. (Lecture Notes in Artificial Intelligence (LNAI)).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Open Access
File
Urine
Proteins
Biomarkers
7 Downloads (Pure)
Open Access
File
social science
social scientist
social media
computer scientist
personal data
2015

ADOVA: Anomaly Detection in Online and Virtual spAces

Emele, C. D., Spakov, V., Pang, W., Bone, J. D. & Coghill, G. M., 4 May 2015, Proceedings of the 3rd International Workshop on Collaborative Online Organizations: co-located with the 14th International Conference on Autonomous Agents and Multi-Agent Systems (AAMAS 2015). Alqithami, S. & Hexmoor, H. (eds.). Istanbul, Turkey, Vol. May 4 2015. p. 38-41 4 p.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Open Access
Ad hoc networks
Specifications
6 Citations (Scopus)

An initialization method for clustering mixed numeric and categorical data based on the density and distance

Ji, J., Pang, W., Zheng, Y., Wang, Z. & Ma, Z., Nov 2015, In : International Journal of Pattern Recognition and Artificial Intelligence. 29, 7, 16 p., 1550024.

Research output: Contribution to journalArticle

Clustering algorithms
Experiments
2 Citations (Scopus)
4 Downloads (Pure)
Open Access
File
Simulated annealing
Learning
Systems Biology
Computational Biology
Research
7 Citations (Scopus)
6 Downloads (Pure)

An integrative top-down and bottom-up qualitative model construction framework for exploration of biochemical systems

Wu, Z., Pang, W. & Coghill, G. M., Sep 2015, In : Soft Computing. 19, 6, p. 1595-1610 16 p.

Research output: Contribution to journalArticle

Open Access
File
Bottom-up
Modeling
Model
Evolution Strategies
Computational Modeling
15 Citations (Scopus)
5 Downloads (Pure)

A novel artificial bee colony based clustering algorithm for categorical data

Ji, J., Pang, W., Zheng, Y., Wang, Z. & Ma, Z., 20 May 2015, In : PloS ONE. 10, 5, 17 p., e0127125.

Research output: Contribution to journalArticle

Open Access
File
Bees
Clustering algorithms
Cluster Analysis
Apoidea
batch systems
8 Citations (Scopus)

A novel cluster center initialization method for the k-prototypes algorithms using centrality and distance

Ji, J., Pang, W., Zheng, Y., Wang, Z., Ma, Z. & Zhang, L., 2015, In : Applied Mathematics & Information Sciences. 9, 6, p. 2933-2942 10 p.

Research output: Contribution to journalArticle

Centrality
Initialization
Prototype
Nominal or categorical data
Numerics
1 Citation (Scopus)
4 Downloads (Pure)

A novel object tracking algorithm based on compressed sensing and entropy of information

Ma, D., Yu, J., Yu, Z. & Pang, W., 2015, In : Mathematical Problems in Engineering. 2015, 18 p., 628101.

Research output: Contribution to journalArticle

Open Access
File
Compressed sensing
Compressed Sensing
Object Tracking
Entropy
Information Entropy
1 Citation (Scopus)
1 Downloads (Pure)

Automatically Predicting Quiz Difficulty Level Using Similarity Measures

Lin, C., Liu, D., Pang, W. & Apeh, E., 2015, Proceedings of The 8th International Conference on Knowledge Capture (K-Cap). ACM, p. 1-8 8 p. 1

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Semantics
Experiments
7 Citations (Scopus)

Essential Protein Identification Based on Essential Protein: Protein Interaction Prediction by Integrated Edge Weights

Jiang, Y., Wang, Y., Pang, W., Chen, L., Sun, H., Liang, Y. & Blanzieri, E., 15 Jul 2015, In : Methods. 83, p. 51-62 12 p.

Research output: Contribution to journalArticle

Weights and Measures
Proteins
Specific Gravity
Caenorhabditis elegans
Computational methods
1 Citation (Scopus)

Mode-Driven Volume Analysis Based on Correlation of Time Series

Jia, C., Pang, W. & Fu, Y., 19 Mar 2015, Computer Vision - ECCV 2014 Workshops: Zurich, Switzerland, September 6-7 and 12, 2014, Proceedings, Part I. Agapito, L., Bronstein, M. M. & Rother, C. (eds.). Zurich: Springer , p. 818-833 16 p. (Lecture Notes in Computing Science; vol. 8925).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Tensors
Time series
Discriminant analysis
Face recognition
Experiments
5 Citations (Scopus)
5 Downloads (Pure)

QML-AiNet: an immune network approach to learning qualitative differential equation models

Pang, W. & Coghill, G. M., Feb 2015, In : Applied Soft Computing. 27, p. 148-157 10 p.

Research output: Contribution to journalArticle

Open Access
File
Differential equations
Scalability
1 Citation (Scopus)
5 Downloads (Pure)

Qualitative, Semi-quantitative, and Quantitative Simulation of the Osmoregulation System in Yeast

Pang, W. & Coghill, G. M., May 2015, In : BioSystems. 131, p. 40-50 11 p.

Research output: Contribution to journalArticle

Open Access
File
Osmoregulation
Yeast
Yeasts
Biophysical Phenomena
Simulation
9 Citations (Scopus)
7 Downloads (Pure)

Sherlock: a Semi-Automatic Framework for Quiz Generation Using a Hybrid Semantic Similarity Measure

Lin, C., Liu, D., Pang, W. & Wang, Z., Dec 2015, In : Cognitive Computation. 7, 6, p. 667-679 13 p.

Research output: Contribution to journalArticle

Open Access
File
Semantics
Cognitive Science
Aptitude
Cluster Analysis
Experiments