Browse by ANZSRC Socio-Economic Objective codes

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Group by: Creators | Item Type
Number of items at this level: 23.


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.

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.

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.

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

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.

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.

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

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.

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.

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.

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.

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.

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.

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

Book Chapter

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.

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.

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 Jesús Pérez-Jiménez on the Occasion of His 70th Birthday. Lecture Notes in Computer Science, 11270 . Springer, Cham, Switzerland, pp. 204-227.

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.

Conference Item

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.

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.


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

This list was generated on Thu Dec 8 23:19:21 2022 AEST.