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


[471] Aldrich, G.A., Lukasczyk, J., Hyman, J.D., Srinivasan, G., Viswanathan, H.S., Garth, C., Leitte, H., Ahrens, J.P. and Hamann, B. (2019), A query-based framework for searching, sorting and exploring data ensembles (pdf), to appear in IEEE Computing in Science and Engineering, DOI 10.1109/MCSE.2019.2908104.

[472] Linares, O.A.C., Bianchi, J., Raveli, D., Neto, J.B. and Hamann, B. (2019), Mandible and skull segmentation in cone beam computed tomography using super-voxels and graph clustering (pdf), to appear in The Visual Computer 35, Springer-Verlag, DOI 10.1007/s00371-018-1511-0.

[473] Linares, O.A.C., Faical, B.S., Barbosa, P., Hamann, B., Fabro, A.T. and Traina, A.J.M. (2019), How to automatically identify regions of interest in high-resolution images of lung biopsy for interstitial fibrosis diagnosis (pdf), extended abstract and poster, to appear in: Menasalvas, E., Spiliopoulou, M. and Luna, J.M., eds., Proceedings of 32nd IEEE International Symposium on Computer-based Medical Systems, Posters (CBMS 2019), IEEE Xplore Digital Library, IEEE Press, Piscataway, New Jersey.

[474] Rupprecht, F.-A., Heck, B., Hamann, B. and Ebert, A. (2019), Signal-processing transformation from smartwatch to arm movement gestures (pdf), in: Nunes, I.L., ed., Proceedings of Ninth International Conference on Applied Human Factors and Ergonomics and the Affiliated Conferences (AHFE 2018), Advances in Intelligent Systems and Computing Series, Vol. 781, Springer-Verlag, pp. 109-121.

[475] Rupprecht, F.-A., Naranjo Valero, C.~X., Olakumni, J., Ebert, A. and Hamann, B. (2019), When bigger is simply better after all: Natural and multi-modal interaction with large displays using a smartwatch (pdf), in: Kokil, U. and Ota, T., eds., Proceedings of The Twelfth International Conference on Advances in Human-Computer Interactions (ACHI 2019), Xpert Publishing Services (XPS), Wilmington, Delaware - ThinkMind Digital Library, pp. 57-65.

[476] Vargas, A.R.S., Hamann, B. and Ferreira de Oliveira, M.C. (2019), TV-MV analytics: A visual analytics framework to explore time-varying multivariate data (pdf), to appear in Information Visualization, SAGE Publications Ltd.