Bernd Hamann - Publications Authored, Co-authored, or Co-edited (Including Accepted Publications to Appear)

2020

[478] Aldrich, G.A., Lukasczyk, J., Hyman, J.D., Srinivasan, G., Viswanathan, H.S., Garth, C., Leitte, H., Ahrens, J.P. and Hamann, B. (2020), A query-based framework for searching, sorting and exploring data ensembles (pdf), IEEE Computing in Science and Engineering 22(2), pp. 64-76.

[479] Linares, O.A.C., Hamann, B. and Neto, J.B. (2020), Segmenting cellular retinal images by optimizing super-pixels, multi-level modularity, and cell boundary representation (pdf), IEEE Transactions on Image Processing 29(1), pp. 809-818.

[480] Linares, O.A.C., Vargas, A.R.S., Faical, B.S., Hamann, B., Fabro, A.T. and Traina, A.J.M. (2020), Efficient segmentation of cell nuclei in histopathological iamges (pdf), to appear in: Garcia Seco de Herrera, A. and Rodriguez, A., eds., Proceedings of 33rd IEEE International Symposium on Computer-based Medical Systems (CBMS 2020), IEEE Xplore Digital Library, IEEE Press, Piscataway, New Jersey.

[481] Murugesan, S., Bouchard, K.E., Brown, J., Kiran, M., Lurie, D., Hamann, B. and Weber, G.H. (2020), State-based network similarity visualization (pdf), Information Visualization 19(2), SAGE Publications Ltd., pp. 96-113.

[482] Naranjo Valero, C.X., Srinavasan, S.K., Ebert, A. and Hamann, B. (2020), Enhanced freehand interaction by combining vision and EMG-based systems in mixed reality environments (pdf), to appear in: Ferens, K., ed., Proceedings of The 2020 World Congress in Computer Science, Computer Engineering and Applied Computing (CSCE 20), The Fourth International Conference on Applied Cognitive Computing (ACC 20), Transactions on Computational Science and Computational Intelligence Series, Springer-Verlag, Heidelberg, Germany.

[483] Pulido, J., Zheng, C., Thorman, P. and Hamann, B. (2020), SnowPac: A multi-scale cubic B-spline wavelet compressor for astronomical images (pdf), Monthly Notices of the Royal Astronomical Society (MNRAS) 493(2), John Wiley & Sons, pp. 2455-2555.

[484] Vargas, A.R.S., Hamann, B. and Ferreira de Oliveira, M.C. (2020), TV-MV analytics: A visual analytics framework to explore time-varying multivariate data (pdf), Information Visualization 19(1), SAGE Publications Ltd., pp. 3-23.

[485] Vargas, A.R.S., Rollmann, K., Almeida, F., Davolio, A., Hamann, B., Schiozer, D.J. and Rocha, A. (2020), Leveraging phylogenetic tress to assess variability of reservoir models, to appear in: Gonzalez, K., Hincapie, R., Pastor, P. and Valbuena, E., eds., Proceedings of 2020 Society of Petroleum Engineers (SPE) Latin American and Caribbean Petroleum Engineering Conference, OnePetro Online Library, OnePetro, Richardson, Texas.

[486] Weber, P., Rupprecht, F., Wiesen, S., Hamann, B. and Ebert, A. (2020), Assessing cognitive load via pupillometry, to appear in: Ferens, K., ed., Proceedings of The 2020 World Congress in Computer Science, Computer Engineering and Applied Computing (CSCE 20), The Fourth International Conference on Applied Cognitive Computing (ACC 20), Transactions on Computational Science and Computational Intelligence Series, Springer-Verlag, Heidelberg, Germany.