A

Adams, Nico, Haller, Armin, Krumpholz, Alexander, and Taylor, Kerry (2013) A semantic lab notebook - report on a use case modelling an experiment of a microwave-based quarantine method. In: Proceedings of the 3rd International Workshop on Linked Science (1116) pp. 46-58. From: LISC2013: 3rd International Workshop on Linked Science 2013, 21 October 2013, Sydney, NSW, Australia.

Adams, Nico, Cannon, Edward, and Murray-Rust, Peter (2009) ChemAxiom – An Ontological Framework for Chemistry in Science. Nature Precedings.

B

Belle (2023) No bodies are still somebodies: evaluating the use of public online information to develop a dataset of characteristics on long-term missing persons within Australia. Masters (Research) thesis, James Cook University.

C

Chaturvedi, Iti, Pandelea, Vlad, Cambria, Erik, Welsch, Roy, and Datta, Bithin (2024) Barrier Function to Skin Elasticity in Talking Head. Cognitive Computation. (In Press)

Chaturvedi, Iti, Satapathy, Ranjan, Lynch, Curtis, and Cambria, Erik (2024) Predicting word vectors for microtext. Expert Systems, 41 (8). e13589.

Chen, Qian, Ragusa, Edoardo, Chaturvedi, Iti, Cambria, Erik, and Zunino, Rodolfo (2023) Text-Image Sentiment Analysis. In: Lecture Notes in Computer Science (13397) pp. 169-180. From: CICLing 2018: 19th International Conference on Computational Linguistics and Intelligent Text Processing, 18–24 March 2018, Hanoi, Vietnam.

Chaturvedi, Iti, Chen, Qian, Welsch, Roy E., Thapa, Kishor, and Cambria, Erik (2022) Gaussian correction for Adversarial learning of Boundaries. Signal Processing-Image Communication, 109. 116841.

Chaturvedi, Iti, Noel, Tim, and Satapathy, Ranjan (2022) Speech Emotion Recognition Using Audio Matching. Electronics, 11 (23). 3943.

Chaturvedi, Iti, Thapa, Kishor, Cavallari, Sandro, Cambria, Erik, and Welsch, Roy E. (2021) Predicting video engagement using heterogeneous DeepWalk. Neurocomputing, 465. pp. 228-237.

Chen, Qian, Chaturvedi, Iti, Ji, Shaoxiong, and Cambria, Erik (2021) Sequential fusion of facial appearance and dynamics for depression recognition. Pattern Recognition Letters, 150. pp. 115-121.

D

Dinneen, Michael J., Henderson, Alec, and Nicolescu, Radu (2023) Sublinear P system solutions to NP-complete problems. Theoretical Computer Science, 958. 113848.

Ditton, Elizabeth, Swinbourne, Anne, and Myers, Trina (2022) Selecting a clustering algorithm: A semi-automated hyperparameter tuning framework for effective persona development. Array, 14. 100186.

F

Forest, Elizabeth, Swinbourne, Anne, Myers, Trina, and Scovell, Mitchell (2021) Applying Semi-Automated Hyperparameter Tuning for Clustering Algorithms. In: [Presented at the 36th IEEE/ACM International Conference on Automated Software Engineering]. From: ASE 2021: 36th IEEE/ACM International Conference on Automated Software Engineering, 14-20 November 2021, Online.

G

Goldfinch, Felise, Chang, Nigel, and Hardy, Dianna (2024) Ex Machina: Machine Learning, ceramics & rock art in the Khorat Plateau, Thailand. SPAFA Journal. (In Press)

Garcia, J.A., Waszek, L., Tauzin, B., and Schmerr, N. (2021) Automatic identification of mantle seismic phases using a Convolutional Neural Network. Geophysical Research Letters, 48 (18). e2020GL091658.

Golchin, Maryam, and Liew, Alan Wee-Chung (2019) Bi-clustering by Multi-objective Evolutionary Algorithm for Multimodal Analytics and Big Data. In: Seng, Kah Phooi, Ang, Li-minn, Liew, Alan Wee-Chung, and Gao, Junbin, (eds.) Multimodal Analytics for Next-Generation Big Data Technologies and Applications. Springer, Cham, Switzerland, pp. 125-150.

Golchin, Maryam (2018) Bicluster analysis of biomedical data based on multi-objective evolutionary optimization. PhD thesis, Griffith University.

Golchin, Maryam, and Liew, Alan Wee Chung (2017) Parallel biclustering detection using strength Pareto front evolutionary algorithm. Information Sciences, 415-416. pp. 283-297.

H

Hamilton, John R., and Maxwell, Stephen J. (2023) Artificial Intelligence (AI), Rio Tinto and Firm Leading-Edge AI Competitiveness. In: Proceedings of the 23rd International Conference on Electronic Business (23) pp. 36-44. From: ICEB 2023: 23rd International Conference on Electronic Business, 19-23 October 2023, Chiayi, Taiwan.

Henderson, Alec, Nicolescu, Radu, Dinneen, Michael J., Chan, T.N., Happe, Hendrik, and Hinze, Thomas (2023) Programmable and parallel water computing. Journal of Membrane Computing, 5. pp. 25-54.

Hamilton, John R., Maxwell, Stephen J., and Lynch, Ronald P. (2023) Towards Delivering AI & Smarter, Self-Learning, Autonomous, Humanoid Robots. In: Proceedings of the 23rd International Conference on Electronic Business (23) pp. 667-674. From: ICEB 2023: 23rd International Conference on Electronic Business, 19-23 October 2023, Chiayi, Taiwan.

Henderson, Alec, Nicolescu, Radu, Dinneen, Michael J., Chan, T.N., Happe, Hendrik, and Hinze, Thomas (2021) Turing completeness of water computing. Journal of Membrane Computing, 3 (3). pp. 182-193.

Hinze, Thomas, Happe, Hendrik, Henderson, Alec, and Nicolescu, Radu (2020) Membrane computing with water. Journal of Membrane Computing, 2 (2). pp. 121-136.

Henderson, Alec, Nicolescu, Radu, and Dinneen, Michael J. (2020) Solving a PSPACE-complete problem with cP systems. Journal of Membrane Computing, 2 (4). pp. 311-322.

Henderson, Alec, and Nicolescu, Radu (2019) Actor-Like cP Systems. In: Lecture Notes in Computer Science (11399) pp. 160-187. From: CMC 2018: 19th International Conference on Membrane Computing, 4-7 September 2018, Dresden, Germany.

K

Krahe, Michelle A., Wolski, Malcolm, Mickan, Sharon, Toohey, Julie, Scuffham, Paul, and Reilly, Sheena (2023) Developing a strategy to improve data sharing in health research: A mixed-methods study to identify barriers and facilitators. Health Information Management Journal, 52 (1). pp. 18-27.

Kerrison, Steve, Buschoff, Markus, Nunez-Yanez, Jose, and Eder, Kerstin (2017) Measuring energy. In: Fagas, Giorgos, Gammaitoni, Luca, Gallagher, John P., and Douglas, Paul, (eds.) ICT - Energy Concepts for Energy Efficiency and Sustainability. IntechOpen, London, UK, pp. 59-82.

L

Liu, Jianan, Li, Hao, Huang, Tao, Ahn, Euijoon, Han, Kang, Razi, Adeel, Xiang, Wei, Kim, Jinman, and Feng, David Dagan (2024) Unsupervised Representation Learning for 3-Dimensional Magnetic Resonance Imaging Super-Resolution with Degradation Adaptation. IEEE Transactions on Artificial Intelligence. (In Press)

Lammie, Corey, Xiang, Wei, and Rahimiazghadi, Mostafa (2022) Modeling and simulating in-memory memristive deep learning systems: an overview of current efforts. Array, 13. 100116.

Lammie, Corey (2022) Simulation and implementation of novel deep learning hardware architectures for resource constrained devices. PhD thesis, James Cook University.

Limones, Tomás, Reaiche Amaro, Carmen, and Ochoa-Zezzatti, Alberto (2021) Utilization of detection tools in a human avalanche that occurred in a Rugby stadium, using multi-agent systems. In: Ochoa-Zezzatti, Alberto, Vargas-Solar, Genoveva, and Espinosa Oviedo, Javier Alfonso, (eds.) Innovative Applications in Smart Cities. CRC Press, Abingdon, Oxon, UK, pp. 117-134.

Laradji, Issam H., Saleh, Alzayat, Rodriguez, Pau, Nowrouzezahrai, Derek, Rahimi Azghadi, Mostafa, and Vazquez, David (2021) Weakly supervised underwater fish segmentation using affinity LCFCN. Scientific Reports, 11. p. 17379.

Liu, Yezhou, Nicolescu, Radu, Sun, Jing, and Henderson, Alec (2021) A sublinear Sudoku solution in cP Systems and its formal verification. Computer Science Journal of Moldova, 29 (1 (85)). pp. 3-28.

Liew, Alan Wee-Chung, and Golchin, Maryam (2018) Bicluster Detection by Hyperplane Projection and Evolutionary Optimization. In: Proceedings of the 9th International Joint Conference on Biomedical Engineering Systems and Technologies. pp. 61-68. From: Bioinformatics 2018: 9th International Joint Conference on Biomedical Engineering Systems and Technologies, 19-21 January 2018, Funchal, Portugal.

M

McCarthy, Breda, Kaur Sabharwal, Jagdeep, and Chawla, Shailey (2024) Old age or cognitive decline? Examining the usability of a mobile health app for older Australians. Informatics for Health and Social Care, 49 (1). pp. 83-97.

McNabb, Timothy (2022) Staff feelings about increasing levels of data collected to optimise clinical space utilisation through human observation and electronic observation. In: [Presented at the TropiQ Research Symposium 2022]. From: TropiQ Research Symposium 2022, 11 November 2022, Townsville, QLD, Australia.

Morse, Jeremy, Kerrison, Steven, and Eder, Kerstin (2018) On the limitations of analyzing worst-case dynamic energy of processing. ACM Transactions on Embedded Computing Systems, 17 (3). 59.

N

Napier, Thomas, Ahn, Euijoon, Allen-Ankins, Slade, and Lee, Ickjai (2023) An Optimised Grid Search Based Framework for Robust Large-Scale Natural Soundscape Classification. In: Lecture Notes in Computer Science (14471) pp. 468-479. From: AI 2023: 36th Australasian Joint Conference on Artificial Intelligence, 28 November - 1 December 2023, Brisbane, QLD, Australia.

Nicolescu, Radu, and Henderson, Alec (2018) An introduction to cP systems. In: Graciani, Carmen, Paun, Gheorghe, Rozenberg, Grzegorz, Salomaa, Arto, and Riscos Núñez, Agustín, (eds.) Enjoying Natural Computing Essays Dedicated to Mario de Jesus Perez-Jimenez on the Occasion of His 70th Birthday. Lecture Notes in Computer Science, 11270 . Springer, Cham, Switzerland, pp. 204-227.

P

Papavasiliou, Samantha, Gorod, Alex, and Reaiche, Carmen (2024) System of systems engineering governance framework for digital transformation: A case study of an Australian large government agency. Systems Engineering, 27 (2). pp. 267-283.

R

Raza, Shaina, Bashir, Syed Raza, Thakkar, Vidhi, and Naseem, Usman (2023) Biomedical named entity recognition using natural language processing. In: Gupta, Akshansh, Verma, Hanuman, Prasad, Mukesh, Singh Kirar, Jyoti, and Lin, C.T., (eds.) Computational Intelligence Aided Systems for Healthcare Domain. CRC Press, Boca Raton, FL, USA, pp. 191-211.

S

Saha, Anindo, Bosma, Joeran S, Twilt, Jasper J, van Ginneken, Bram, Bjartell, Anders, Padhani, Anwar R, Bonekamp, David, Villeirs, Geert, Salomon, Georg, Giannarini, Gianluca, Kalpathy-Cramer, Jayashree, Barentsz, Jelle, Maier-Hein, Klaus H, Rusu, Mirabela, Rouvière, Olivier, van den Bergh, Roderick, Panebianco, Valeria, Kasivisvanathan, Veeru, Obuchowski, Nancy A, Yakar, Derya, Elschot, Mattijs, Veltman, Jeroen, Fütterer, Jurgen J, de Rooij, Maarten, Huisman, Henkjan, and PI-CAI consortium (2024) Artificial intelligence and radiologists in prostate cancer detection on MRI (PI-CAI): an international, paired, non-inferiority, confirmatory study. Lancet Oncology. (In Press)

Scutella, Maryanne, Plewa, Carolin, and Reaiche, Carmen (2024) Small businesses and e-government participation: the role of personalisation preference and intermediaries. Internet Research, 34 (3). pp. 917-938.

Somoray, Klaire, and Miller, Dan J. (2023) Providing detection strategies to improve human detection of deepfakes: An experimental study. Computers in Human Behaviour, 149. 107917.

Sidorczuk, Katarzyna, Gagat, Przemyslaw, Pietluch, Filip, Kala, Jakub, Rafacz, Dominik, Bakala, Laura, Slowik, Jadwiga, Kolenda, Rafal, Rodiger, Stefan, Fingerhut, Legana C.H.W., Cooke, Ira R., Mackiewicz, Pawel, and Burdukiewicz, Michal (2022) Benchmarks in antimicrobial peptide prediction are biased due to the selection of negative data. Briefings in Bioinformatics, 23 (5). bbac343.

W

Wang, Hao, Ahn, Euijoon, and Kim, Jinman (2024) A multi-resolution self-supervised learning framework for semantic segmentation in histopathology. Pattern Recognition. 110621. (In Press)

White, Nathan (2022) The Hmong Medical Corpus: a biomedical corpus for a minority language. Language Resources and Evaluation, 56. pp. 1315-1332.

Wang, Hao, Ahn, Euijoon, and Kim, Jinman (2022) Self-Supervised Representation Learning Framework for Remote Physiological Measurement Using Spatiotemporal Augmentation Loss. In: Proceedings of the 36th AAAI Conference on Artificial Intelligence (36) From: AAAI-22: 36th AAAI Conference on Artificial Intelligence, 22 February - 1 March 2022, Virtual.

X

Xing, Frank, Schuller, Bjorn, Chaturvedi, Iti, Cambria, Erik, and Hussain, Amir (2023) Guest Editorial Neurosymbolic AI for Sentiment Analysis. IEEE Transactions on Affective Computing, 14 (3). pp. 1711-1715.

Y

Yuan, Yuan, Ahn, Euijoon, Feng, Dagan, Khadra, Mohamad, and Kim, Jinman (2023) SSPT-bpMRI: A Self-supervised Pre-training Scheme for Improving Prostate Cancer Detection and Diagnosis in Bi-parametric MRI*. In: Proceedings of the 45th Auunual International Conference of the Engineering in Medicine & Biology Society. From: EMBC 2023: 45th Annual International Conference of the Engineering in Medicine & Biology Society, 24-27 July 2023, Sydney, NSW, Australia.

Z

Zhou, Yusheng, Li, Hao, Liu, Jianan, Kong, Zhengmin, Huang, Tao, Ahn, Euijoon, Lv, Zhihan, Kim, Jinman, and Feng, David Dagan (2024) Explicit Abnormality Extraction for Unsupervised Motion Artifact Reduction in Magnetic Resonance Imaging. IEEE Journal of Biomedical and Health Informatics. (In Press)

Zhou, Yusheng, Kong, Zhengmin, Huang, Tao, Ahn, Euijoon, Li, Hao, and Ding, Li (2024) WaveletDFDS-Net: A Dual Forward Denoising Stream Network for Low-Dose CT Noise Reduction. Electronics, 13. 1906.

Zhou, Shijia, Sridar, Pradeeba, Kennedy, Narelle June, Quinton, Anne, Ahn, Euijoon, Nanan, Ralph, and Kim, Jinman (2023) A Deep-Learning Enabled Automatic Fetal Thalamus Diameter Measurement Algorithm. In: Proceedings of the 45th Auunual International Conference of the Engineering in Medicine & Biology Society. From: EMBC 2023: 45th Annual International Conference of the Engineering in Medicine & Biology Society, 24-27 July 2023, Sydney, NSW, Australia.

Zhu, Randy, Hardy, Dianna, and Myers, Trina (2022) Community led co-design of a social networking platform with adolescents with Autism Spectrum Disorder. Journal of Autism and Developmental Disorders, 52. pp. 38-51.

Zhu, Zhiwei Randy (2020) Co-designing with adolescents with autism spectrum disorder: a participatory action research approach. PhD thesis, James Cook University.