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Preview	Issue Date	Title	Author(s)
	2018	Discrepancy-based evolutionary diversity optimization	Neumann, A.; Gao, W.; Doerr, C.; Neumann, F.; Wagner, M.; Aguirre, H.; Genetic and Evolutionary Computation Conference (GECCO) (15 Jul 2018 - 19 Jul 2018 : Kyoto, Japan)
	2018	On the use of repair methods in differential evolution for dynamic constrained optimization	Ameca-Alducin, M.; Hasani-Shoreh, M.; Neumann, F.; Sim, K.; Kaufmann, P.; Ascheid, G.; Bacardit, J.; Cagnoni, S.; Cotta, C.; DAndreagiovanni, F.; Divina, F.; EsparciaAlcazar, A.; DeVega, F.; Glette, K.; Hidalgo, J.; Hubert, J.; Iacca, G.; Kramer, O.; Mavrovouniotis, M.; Garcia, A.; Nguyen, T.; Schaefer, R.; Silva, S.; Tonda, A.; Urquhart, N.; Zhang, M.; 21st International Conference on the Applications of Evolutionary Computation (EvoApplications) (4 Apr 2018 - 6 Apr 2018 : Parma, ITALY)
	2018	Active learning from noisy tagged images	Abbasnejad, M.E.; Dick, A.R.; Shi, Q.; Hengel, A.V.D.; British Machine Vision Conference 2018 (BMVC 2018) (3 Sep 2018 - 6 Sep 2018 : Newcastle upon Tyne)
	2018	Adaptive correlation filters with long-term and short-term memory for object tracking	Ma, C.; Huang, J.-B.; Yang, X.; Yang, M.-H.
	2018	Randomized greedy algorithms for covering problems	Gao, W.; Friedrich, T.; Neumann, F.; Hercher, C.; Aguirre, H.E.; Takadama, K.; Genetic and Evolutionary Computation Conference (GECCO) (15 Jul 2018 - 19 Jul 2018 : Kyoto, Japan)
	2018	Runtime analysis of evolutionary algorithms for the knapsack problem with favorably correlated weights	Neumann, F.; Sutton, A.; Auger, A.; Fonseca, C.; Lourenco, N.; Machado, P.; Paquete, L.; Whitley, D.; International Conference on Parallel Problem Solving from Nature (PPSN) (8 Sep 2018 - 12 Sep 2018 : Coimbra, Portugal)
	2018	Deep autoencoder for recommender systems: Parameter influence analysis	Tran, D.H.; Hussain, Z.; Zhang, W.E.; Khoa, N.L.D.; Tran, N.H.; Sheng, Q.Z.; Australasian Conference on Information Systems (ACIS) (3 Dec 2018 - 5 Dec 2018 : Sydney, Australia)
	2018	A Bayesian data augmentation approach for learning deep models	Tran, T.; Pham, T.; Carneiro, G.; Palmer, L.; Reid, I.; Guyon, I.; Luxburg, U.V.; Bengio, S.; Wallach, H.; Fergus, R.; Vishwanathan, S.; Garnett, R.; NIPS Foundation Inc (4 Dec 2017 - 9 Dec 2017 : Long Beach, CA)
	2018	(No) influence of continuous integration on the commit activity in GitHub projects	Baltes, S.; Knack, J.; Anastasiou, D.; Tymann, R.; Diehl, S.; Baysal, O.; Menzies, T.; ACM SIGSOFT International Workshop on Software Analytics (5 Nov 2018 : Lake Buena Vista, FL, USA)
	2018	SOTorrent: Reconstructing and analyzing the evolution of stack overflow posts	Baltes, S.; Dumani, L.; Treude, C.; Diehl, S.; 15th International Conference on Mining Software Repositories (MSR) (28 May 2018 - 29 May 2018 : Gothenburg, SWEDEN)