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Issue DateTitleAuthor(s)Citation
20173D segmentation of residual thyroid tissue using constrained region growing and voting strategiesBao, Guoqing; Cui, Hui; Feng, Dagan 'David'; Wang, Xiuying; Zheng, Chaojie; Huang, Gang; Li, Panli; Song, Shao-li; Information Technologies; Information Technologies; Information Technologies; Information Technologies; Information Technologies3D segmentation of residual thyroid tissue using constrained region growing and voting strategies, 2017 International Conference on Digital Image Computing: Techniques and Applications (DICTA), vol.N/A, 2017, pp. 331-335
2016Active Perception for Modelling Energy Consumption in Off-Road NavigationDos Santos De Oliveira, Rafael; Ott, Lionel; Ramos, Fabio; Information Technologies; Information Technologies; Information TechnologiesActive Perception for Modelling Energy Consumption in Off-Road Navigation, Proceedings of the Australasian Conference on Robotics and Automation (ARAA 2016), vol.N/A, 2016, pp. N/A-N/A
2017Adapting Fisher Vectors for Histopathology Image ClassificationCai, Weidong Tom; Song, Yang; Chang, Hang; Zou, Ju Jia; Information Technologies; Information TechnologiesAdapting Fisher Vectors for Histopathology Image Classification, Proceedings of the 2017 IEEE 14th International Symposium on Biomedical Imaging (ISBI 2017), vol.N/A, 2017, pp. 600-603
2016Adaptive background search and foreground estimation for saliency detection via comprehensive autoencoderFeng, Dagan 'David'; Kim, Jinman; Li, Ang; Li, Changyang; Wang, Xiu Ying; Yan, Ke; Yuan, Yuchen; Information Technologies; Information Technologies; Information Technologies; Information Technologies; Information Technologies; Information Technologies; Information TechnologiesAdaptive background search and foreground estimation for saliency detection via comprehensive autoencoder, Proceedings of the 23rd IEEE International Conference on Image Processing (ICIP 2016), vol.N/A, 2016, pp. 2767-2771
2011An Adaptive Data Driven Model for Characterizing Rock Properties from Drilling DataHatherly, Peter; Nettleton, Eric; Ramos, Fabio; Zhou, Cathy (Hang); Australian Centre for Field Robotics; Australian Centre for Field Robotics; Information Technologies; Australian Centre for Field RoboticsAn Adaptive Data Driven Model for Characterizing Rock Properties from Drilling Data, Proceedings of the IEEE International Conference on Robotics and Automation ICRA 2011, vol.CD, 2011, pp. 1909-1915
2017Adaptive Energy-Aware Computation Offloading for Cloud of Things SystemsBao, Wei; Li, Wei; Nan, Yucen; Zomaya, Albert; Delicato, Flavia; Dou, Yong; Pires, Paulo; Information Technologies; Information Technologies; Information Technologies; Information TechnologiesAdaptive Energy-Aware Computation Offloading for Cloud of Things Systems, IEEE Access, vol.5, N/A, 2017,pp 23947-23957
2017Adaptive manifold regularized matrix factorization for data clusteringTao, Dacheng; Du, Bo; You, Jane; Zhang, Lefei; Zhang, Qian; Information TechnologiesAdaptive manifold regularized matrix factorization for data clustering, IJCAI International Joint Conference on Artificial Intelligence, vol.N/A, 2017, pp. 3399-3405
2014Adaptive Scale Fuzzy Local Gaussian Mixture Model for Brain MR Image SegmentationFeng, Dagan 'David'; Ji, Zexuan; Xia, Yong; Chen, Qiang; Sun, Quansen; Information Technologies; Information Technologies; Information TechnologiesAdaptive Scale Fuzzy Local Gaussian Mixture Model for Brain MR Image Segmentation, Neurocomputing, vol.134, N/A, 2014,pp 60-69
2014Adaptive Scale Fuzzy Local Gaussian Mixture Model for Brain MR Image SegmentationFeng, Dagan 'David'; Ji, Zexuan; Xia, Yong; Chen, Qiang; Sun, Quansen; Information Technologies; Information Technologies; Information TechnologiesAdaptive Scale Fuzzy Local Gaussian Mixture Model for Brain MR Image Segmentation, Neurocomputing, vol.134, N/A, 2014,pp 60-69
2014Adaptive Scale Fuzzy Local Gaussian Mixture Model for Brain MR Image SegmentationFeng, Dagan 'David'; Ji, Zexuan; Xia, Yong; Chen, Qiang; Sun, Quansen; Information Technologies; Information Technologies; Information TechnologiesAdaptive Scale Fuzzy Local Gaussian Mixture Model for Brain MR Image Segmentation, Neurocomputing, vol.134, N/A, 2014,pp 60-69
2017adCFS: Adaptive Completely Fair Scheduling Policy for Containerised Workflows SystemsZomaya, Albert; Alsadie, Deafallah; Alzahrani, E; Lee, Young Choon; Tari, Zahir; Information TechnologiesadCFS: Adaptive Completely Fair Scheduling Policy for Containerised Workflows Systems, Proceedings of the 16th IEEE International Symposium on Network Computing and Applications (NCA'17), vol.N/A, 2017, pp. 1-8
2017Adrenal lesions detection on low-contrast CT images using fully convolutional networks with multi-scale integrationBi, Lei; Feng, Dagan 'David'; Fulham, Michael; Kim, Jinman; Ning, Guang; Su, Tingwei; Information Technologies; Information Technologies; Information Technologies; Information TechnologiesAdrenal lesions detection on low-contrast CT images using fully convolutional networks with multi-scale integration, 2017 IEEE 14th International Symposium on Biomedical Imaging (ISBI 2017), vol.N/A, 2017, pp. 895-898
2014Advances on Testing C-Planarity of Embedded Flat Clustered GraphsFrati, Fabrizio; Klein, Karsten; Chimani, Markus; Di Battista, Giuseppe; Information Technologies; Information TechnologiesAdvances on Testing C-Planarity of Embedded Flat Clustered Graphs, Revised Selected Papers of the 22nd International Symposium on Graph Drawing (GD 2014), vol.8871, 2014, pp. 416-427
2014Advances on Testing C-Planarity of Embedded Flat Clustered GraphsFrati, Fabrizio; Klein, Karsten; Chimani, Markus; Di Battista, Giuseppe; Information Technologies; Information TechnologiesAdvances on Testing C-Planarity of Embedded Flat Clustered Graphs, Revised Selected Papers of the 22nd International Symposium on Graph Drawing (GD 2014), vol.8871, 2014, pp. 416-427
2014Advances on Testing C-Planarity of Embedded Flat Clustered GraphsFrati, Fabrizio; Klein, Karsten; Chimani, Markus; Di Battista, Giuseppe; Information Technologies; Information TechnologiesAdvances on Testing C-Planarity of Embedded Flat Clustered Graphs, Revised Selected Papers of the 22nd International Symposium on Graph Drawing (GD 2014), vol.8871, 2014, pp. 416-427
2014Advances on Testing C-Planarity of Embedded Flat Clustered GraphsFrati, Fabrizio; Klein, Karsten; Chimani, Markus; Di Battista, Giuseppe; Information Technologies; Information TechnologiesAdvances on Testing C-Planarity of Embedded Flat Clustered Graphs, Revised Selected Papers of the 22nd International Symposium on Graph Drawing (GD 2014), vol.8871, 2014, pp. 416-427
2014Advances on Testing C-Planarity of Embedded Flat Clustered GraphsFrati, Fabrizio; Klein, Karsten; Chimani, Markus; Di Battista, Giuseppe; Information Technologies; Information TechnologiesAdvances on Testing C-Planarity of Embedded Flat Clustered Graphs, Revised Selected Papers of the 22nd International Symposium on Graph Drawing (GD 2014), vol.8871, 2014, pp. 416-427
2014Advances on Testing C-Planarity of Embedded Flat Clustered GraphsFrati, Fabrizio; Klein, Karsten; Chimani, Markus; Di Battista, Giuseppe; Information Technologies; Information TechnologiesAdvances on Testing C-Planarity of Embedded Flat Clustered Graphs, Revised Selected Papers of the 22nd International Symposium on Graph Drawing (GD 2014), vol.8871, 2014, pp. 416-427
2012Agent-based computer models for learning about climate change and process analysis techniquesJacobson, Michael Joseph; Kelly, Nicholas; Markauskaite, Lina; Southavilay, Vilaythong; School of Education and Social Work Research Operations; Discipline of Design Lab; School of Education and Social Work Research Operations; Information TechnologiesAgent-based computer models for learning about climate change and process analysis techniques, The Future of Learning: Proceedings of the 10th International Conference of the Learning Sciences (ICLS 2012) - Volume 1, Full papers, vol.1, 2012, pp. 25-32
2017Algorithmic stability and hypothesis complexityLiu, Tongliang; Tao, Dacheng; Lugosi, Gabor; Neu, Gergely; Information Technologies; Information TechnologiesAlgorithmic stability and hypothesis complexity, The 34th International Conference on Machine Learning (ICML 2017)., vol.70, 2017, pp. 2159-2167