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] Banesh, D., Lo, L.-T., Kilian, P., Guo, F. and Hamann, B. (2020), Topological analysis of magnetic reconnection in kinetic plasma simulations (pdf), short paper, in: Bertini, E., Bujack, R., Collins, C., Dou, W., Lex, A. and Ropinski, T., eds., Proceedings of IEEE Scientific Visualization 2020 (SciVis 2020), Short Papers, IEEE Xplore Digital Library, IEEE Press, Piscataway, New Jersey.

[480] 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.

[481] 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 images (pdf), 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, pp. 47-52.

[482] 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.

[483] 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: Arabnia, H.R., Ferens, K., de la Fuente, D., Kozerenko, E.B., Olivas Varela, J.A. and Tinetti, F.G. eds., Advances in Artificial Intelligence and Applied Cognitive Computing, 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), Springer-Verlag, Heidelberg, Germany.

[484] 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.

[485] 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.

[486] Vargas, A.R.S., Rollmann, K., Almeida, F., Davolio, A., Hamann, B., Schiozer, D.J. and Rocha, A. (2020), A synthetic case study of measuring the misfit between 4D seismic data and numerical reservoir simulation models through the momenta tree (pdf), Computers and Geosciences 145, article 104617, Elsevier, 15 pages.

[487] Vargas, A.R.S., Rollmann, K., Almeida, F., Davolio, A., Hamann, B., Schiozer, D.J. and Rocha, A. (2020), Leveraging phylogenetic trees to assess variability of reservoir models (pdf), in: Gonzalez, K., Hincapie, R., Pastor, P. and Valbuena, E., eds., Proceedings of 2020 Society of Petroleum Engineers (SPE) Virtual Latin American and Caribbean Petroleum Engineering Conference, OnePetro Online Library, OnePetro, Richardson, Texas, SPE-199099-MS, 11 pages.