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Collection's Items (Sorted by Issue Date in Descending order): 1 to 20 of 2759
PreviewIssue DateTitleAuthor(s)
2021LOW: Training deep neural networks by learning optimal sample weightsSantiago, C.; Barata, C.; Sasdelli, M.; Carneiro, G.; Nascimento, J.C.
2021Evaluating balance recovery techniques for users wearing head-mounted display in VRTirado Cortes, C.A.; Chen, H.; Sturnieks, D.; Garcia Marin, J.; Lord, S.; Lin, C.-.T.
2021HeteGraph: graph learning in recommender systems via graph convolutional networksTran, D.H.; Sheng, Q.Z.; Zhang, W.E.; Aljubairy, A.; Zaib, M.; Hamad, S.A.; Tran, N.H.; Khoa, N.L.D.
2021Towards using count-level weak supervision for crowd countingLei, Y.; Liu, Y.; Zhang, P.; Liu, L.
2020Approximate Fisher information matrix to characterise the training of deep neural networksLiao, Z.; Drummond, T.; Reid, I.; Carneiro, G.
2020Truth finding by reliability estimation on inconsistent entities for heterogeneous data setsTian, H.; Sheng, W.; Shen, H.; Wang, C.
2020Automatically categorizing software technologiesNassif, M.; Treude, C.; Robillard, M.
2020Automatic quality assessment of transperineal ultrasound images of the male pelvic region, using deep learningCamps, S.; Houben, T.; Carneiro, G.; Edwards, C.; Antico, M.; Dunnhofer, M.; Martens, E.; Baeza, J.; Vanneste, B.; van Limbergen, E.; de With, P.; Verhaegen, F.; Fontanarosa, D.
2020Community-based influence maximization in attributed networksHuang, H.; Shen, H.; Meng, Z.
2020Robust fitting in computer vision: Easy or hard?Chin, T.-.J.; Cai, Z.; Neumann, F.
2020Deep learning-based femoral cartilage automatic segmentation in ultrasound imaging for guidance in robotic knee arthroscopyAntico, M.; Sasazawa, F.; Dunnhofer, M.; Camps, S.; Jaiprakash, A.; Pandey, A.; Crawford, R.; Carneiro, G.; Fontanarosa, D.
2020Siam-U-Net: encoder-decoder siamese network for knee cartilage tracking in ultrasound imagesDunnhofer, M.; Antico, M.; Sasazawa, F.; Takeda, Y.; Camps, S.; Martinel, N.; Micheloni, C.; Carneiro, G.; Fontanarosa, D.
2020Depth based semantic scene completion with position importance aware lossLi, J.; Liu, Y.; Yuan, X.; Zhao, C.; Siegwart, R.; Reid, I.; Cadena, C.
2020A content-based active-set method for pressure-dependent models of water distribution systems with flow controlsPILLER, O.; Elhay, S.; Deuerlein, J.; Simpson, A.
2020RefineNet: multi-path refinement networks for dense predictionLin, G.; Liu, F.; Milan, A.; Shen, C.; Reid, I.
2020BVPSMS: A batch verification protocol for end-to-end secure SMS for mobile usersSaxena, N.; Shen, H.; Komninos, N.; Choo, K.; Chaudhari, N.
2020MobileFAN: transferring deep hidden representation for face alignmentZhao, Y.; Liu, Y.; Shen, C.; Gao, Y.; Xiong, S.
2020Realizing an Internet of Secure Things: a survey on issues and enabling technologiesHamad, S.; Sheng, Q.; Zhang, W.; Nepal, S.
2020A non-intrusive approach for efficient stochastic emulation and optimization of model-based nitrate-loading management decision supportWhite, J.; Knowling, M.; Fienen, M.; Feinstein, D.; McDonald, G.; Moore, C.
2020Intraindividual completion time modulates the prediction error negativity in a virtual 3D object selection taskSingh, A.; Chen, H.; Gramann, K.; Lin, C.
Collection's Items (Sorted by Issue Date in Descending order): 1 to 20 of 2759