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Preview	Issue Date	Title	Author(s)
	2021	LOW: Training deep neural networks by learning optimal sample weights	Santiago, C.; Barata, C.; Sasdelli, M.; Carneiro, G.; Nascimento, J.C.
	2021	Evaluating balance recovery techniques for users wearing head-mounted display in VR	Tirado Cortes, C.A.; Chen, H.; Sturnieks, D.; Garcia Marin, J.; Lord, S.; Lin, C.-.T.
	2021	HeteGraph: graph learning in recommender systems via graph convolutional networks	Tran, D.H.; Sheng, Q.Z.; Zhang, W.E.; Aljubairy, A.; Zaib, M.; Hamad, S.A.; Tran, N.H.; Khoa, N.L.D.
	2021	Towards using count-level weak supervision for crowd counting	Lei, Y.; Liu, Y.; Zhang, P.; Liu, L.
	2020	Approximate Fisher information matrix to characterise the training of deep neural networks	Liao, Z.; Drummond, T.; Reid, I.; Carneiro, G.
	2020	Truth finding by reliability estimation on inconsistent entities for heterogeneous data sets	Tian, H.; Sheng, W.; Shen, H.; Wang, C.
	2020	Automatically categorizing software technologies	Nassif, M.; Treude, C.; Robillard, M.
	2020	Automatic quality assessment of transperineal ultrasound images of the male pelvic region, using deep learning	Camps, 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.
	2020	Community-based influence maximization in attributed networks	Huang, H.; Shen, H.; Meng, Z.
	2020	Robust fitting in computer vision: Easy or hard?	Chin, T.-.J.; Cai, Z.; Neumann, F.
	2020	Deep learning-based femoral cartilage automatic segmentation in ultrasound imaging for guidance in robotic knee arthroscopy	Antico, M.; Sasazawa, F.; Dunnhofer, M.; Camps, S.; Jaiprakash, A.; Pandey, A.; Crawford, R.; Carneiro, G.; Fontanarosa, D.
	2020	Siam-U-Net: encoder-decoder siamese network for knee cartilage tracking in ultrasound images	Dunnhofer, M.; Antico, M.; Sasazawa, F.; Takeda, Y.; Camps, S.; Martinel, N.; Micheloni, C.; Carneiro, G.; Fontanarosa, D.
	2020	Depth based semantic scene completion with position importance aware loss	Li, J.; Liu, Y.; Yuan, X.; Zhao, C.; Siegwart, R.; Reid, I.; Cadena, C.
	2020	A content-based active-set method for pressure-dependent models of water distribution systems with flow controls	PILLER, O.; Elhay, S.; Deuerlein, J.; Simpson, A.
	2020	RefineNet: multi-path refinement networks for dense prediction	Lin, G.; Liu, F.; Milan, A.; Shen, C.; Reid, I.
	2020	BVPSMS: A batch verification protocol for end-to-end secure SMS for mobile users	Saxena, N.; Shen, H.; Komninos, N.; Choo, K.; Chaudhari, N.
	2020	MobileFAN: transferring deep hidden representation for face alignment	Zhao, Y.; Liu, Y.; Shen, C.; Gao, Y.; Xiong, S.
	2020	Realizing an Internet of Secure Things: a survey on issues and enabling technologies	Hamad, S.; Sheng, Q.; Zhang, W.; Nepal, S.
	2020	A non-intrusive approach for efficient stochastic emulation and optimization of model-based nitrate-loading management decision support	White, J.; Knowling, M.; Fienen, M.; Feinstein, D.; McDonald, G.; Moore, C.
	2020	Intraindividual completion time modulates the prediction error negativity in a virtual 3D object selection task	Singh, A.; Chen, H.; Gramann, K.; Lin, C.