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PreviewIssue DateTitleAuthor(s)
2008Identifying and understanding architectural risks in software evolution: an empirical studySlyngstad, O.; Li, J.; Conradi, R.; Babar, M.; 9th International Conference on Product-Focused Software Process Improvement (PROFES 2008) (23 Jun 2008 - 25 Jun 2008 : Monte Porzio Catone, Italy)
2014Identifying computer science self-regulated learning strategiesFalkner, K.; Vivian, R.; Falkner, N.; Annual Conference on Innovation and Technology in Computer Science Education (ITiCSE) (23 Jun 2014 - 25 Jun 2014 : Uppsala, Sweden)
1995Identifying data redundancies within the land classification task: A case study using GIS and inductive learning techniquesEklund, P. W.; Kirkby, Stephen Denis; Salim, A.
2013Identifying fake feedback for effective trust management in cloud environmentsNoor, T.; Sheng, Q.; Alfazi, A.; Law, J.; Ngu, A.; International Conference on Service-Oriented Computing (10th : 2012 : Shanghai, China)
2009Identifying high perceived value practices of CMMI level 2: an empirical studyNiazi, M.; Babar, M.
2002Identifying problematic Inter-domain routing issuesMaennel, Olaf Manuel; Feldmann, Anja; North American Network Operators' Group Meeting (24th : 2002 : Miami, Florida)
2011Identifying relevant studies in software engineeringZhang, H.; Babar, M.; Tell, P.
2011Illustration of fairness in evolutionary multi-objective optimizationFriedrich, T.; Horoba, C.; Neumann, F.
2018Image captioning and visual question answering based on attributes and external knowledgeWu, Q.; Shen, C.; Wang, P.; Dick, A.; van den Hengel, A.
2016Image co-localization by mimicking a good detector’s confidence score distributionLi, Y.; Liu, L.; Shen, C.; van den Hengel, A.; 14th European Conference on Computer Vision (ECCV 2016) (11 Oct 2016 - 14 Oct 2016 : Amsterdam, Netherlands)
2010Image denoising by directional complex diffusion processes based on double-density dual-tree DWTMao, C.; Shen, H.; International Congress on Image and Signal Processing (3rd : 2010 : Yantai, China)
2007Image repetition detection method based on spectrum characteristics analysisHu, Weiming; Li, Xi; Wu, Ou; Zhou Guocheng; Institute of Automation; Chinese Academy of Sciences
2016Image restoration using very deep convolutional encoder-decoder networks with symmetric skip connectionsMao, X.; Shen, C.; Yang, Y.; Annual Conference on Neural Information Processing Systems (NIPS) (05 Dec 2016 - 10 Dec 2016 : Barcelona, Spain)
2010Image retrieval with a visual thesaurusChen, Y.; Dick, A.; Van Den Hengel, A.; Digital Image Computing: Techniques and Applications (2010 : Sydney, Australia)
2006Image segmentation using minimal graph cutsEriksson, A.; Barr, O.; Astrom, K.; Swedish Symposium on Image Analysis (2006 : Umea, Sweden)
2007Image segmentation with contextEriksson, A.; Olsson, C.; Kahl, F.; SCIA 2007 Scandinavian Conference (15th : 2007 : Aalborg, Denmark)
2009Image spam filtering using Fourier-Mellin invariant featuresZuo, H.; Li, X.; Wu, O.; Hu, W.; Luo, G.; IEEE International Conference on Acoustics, Speech and Signal Processing (34th : 2009 : Taipei, Taiwan)
2010Image-based modelling for augmenting realityVan Den Hengel, A.; International Symposium on Ubiquitous Virtual Reality (2010 : Gwangju, South Korea)
2015Image-based recommendations on styles and substitutesMcAuley, J.; Targett, C.; Shi, Q.; Van Den Hengel, A.; 38th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) (09 Aug 2015 - 13 Aug 2015 : Santiago, Chile)
2008An image-to-map loop closing method for monocular SLAMWilliams, B.; Cummins, M.; Neira, J.; Newman, P.; Reid, I.; Tardos, J.; IEEE/RSJ International Conference on Intelligent Robots and Systems (2008 : Nice, France)