V. Azarova, D. Engel, C. Ferner, A. Kollmann, and J. Reichl, “Transition to peak-load-based tariffs can be disruptive for different groups of consumers,” Nature Energy, vol. 4, p. 829–830, 2019.
C. Binder, M. Fischinger, L. Altenhuber, D. Draxler, G. Lastro, and C. Neureiter, “Enabling architecture based Co-Simulation of complex Smart Grid applications,” Energy Informatics 2019, vol. 2, iss. 1, pp. 1-12, 2019.
C. Binder, C. Neureiter, and G. Lastro, “Towards a Model-Driven Architecture Process for Developing Industry 4.0 Applications,” International Journal of Modeling and Optimization, vol. 9, iss. 1, p. 1–6, 2019.
C. Binder, C. Neureiter, G. Lastro, M. Uslar, and P. Lieber, “Towards a Standards-Based Domain Specific Language for Industry 4.0 Architectures,” in Complex Systems Design & Management, Cham, p. 44–55, 2019.
C. Brunner, "Decentralized Trust Management for Privacy-preserving Authentication in the Smart Grid", Energy Informatics2019, vol. 2 (supp. 2), iss. 31, pp. 85-88, 2019. https://doi.org/10.1186/s42162-019-0098-7
D. Engel, “Enhancing privacy in smart energy systems,” e & i Elektrotechnik und Informationstechnik, p. 1–5, 2019. https://doi.org/10.1007/s00502-019-00779-4
K. Entacher, T. Demschner, H. Kirchmayr, & J. Leonhartsberger, "Eine Analyse von Temperatur- und Feuchtemessungen in CLT-Wänden über einen Zeitraum von zwei Jahren", Holztechnologie, vol. 60, iss. 6, pp. 11-17, 2019.
C. Ferner, G. Eibl, A. Unterweger, S. Burkhart, and S. Wegenkittl, “Pool detection from smart metering data with convolutional neural networks,” Energy Informatics 2019, vol. 2, iss. 1, pp. 1-12, 2019.
M. Gadermayr A. Dombrowski, B. M. Klinkhammer, P. Boor, D. Merhof, "CNN cascades for segmenting sparse objects in gigapixel whole slide images", Computerized Medical Imaging and Graphics (CMIG, IF 3.3), 2019.
M. Gadermayr, L. Gupta, V. Appel, P. Boor, B. M. Klinkhammer, D. Merhof, "Generative Adversarial Networks for Facilitating Stain-Independent Supervised & Unsupervised Segmentation: A Study on Kidney Histology", IEEE Transactions on Medical Imaging (TMI, IF 7.8), 2019.
M. Gadermayr, K. Li, M. Müller, D. Truhn, N. Krämer, D. Merhof, B. Gess, "Domain specific data augmentation for segmenting MR images of fatty infiltrated human thighs with neural networks",
Journal of Magnetic Resonance Imaging (JMRI, IF 3.7), 2019.
F. Knirsch, O. Langthaler, and D. Engel, “Trust-less electricity consumption optimization in local energy communities,” Energy Informatics 2019, vol. 2, iss. 1, pp. 1-12, 2019.
F. Knirsch, A. Unterweger, and D. Engel, “Implementing a Blockchain from Scratch: Why, How, and What We Learned,” EURASIP Journal on Information Security, vol. 2019, iss. 2, p. 1–14, 2019.
O. Langthaler, “Local Energy Community Systems and the Impact on Prosumers and the Smart Grid”, Energy Informatics2019, vol. 2 (supp. 2), iss. 31, pp. 85-88, 2019. https://doi.org/10.1186/s42162-019-0098-7
M. Müller, M. F. Dohrn, S. Romanzetti, M. Gadermayr, K. Reetz, N. Krämer, C. Kuhl, J. Schulz, B. Gess, "Die teilautomatisierte Volumetrie der Muskel-Magnetresonanztomografie als potenzieller Biomarker bei neuromuskulären Patienten", Nervenheilkunde, 2019.
W. Pomwenger, K. Entacher, H. Resch, et al., "Influence of glenoid implant depth on the bone–polymethylmethacrylate interface", Obere Extremität (2019) 14: 284. https://doi.org/10.1007/s11678-019-0512-6
A. Unterweger, S. Taheri-Boshrooyeh, G. Eibl, F. Knirsch, A. Küpçü, and D. Engel, “Understanding Game-Based Privacy Proofs for Energy Consumption Aggregation Protocols,” IEEE Transactions on Smart Grid, vol. 10, iss. 5, p. 5514–5523, 2019.
M. Uslar, S. Rohjans, C. Neureiter, F. Pröstl Andrén, J. Velasquez, C. Steinbrink, V. Efthymiou, G. Migliavacca, S. Horsmanheimo, H. Brunner, and T. I. Strasser, “Applying the Smart Grid Architecture Model for Designing and Validating System-of-Systems in the Power and Energy Domain: A European Perspective,” Energies, vol. 12, iss. 2, 2019.
F. von Tüllenburg, P. Dorfinger, A. Veichtlbauer, U. Pache, O. Langthaler, H. Kapoun, C. Bischof, and F. Kupzog, “Virtualising redundancy of power equipment controllers using software-defined networking,” Energy Informatics 2019, vol. 2, iss. 1, pp. 1-12, 2019.
G. Wimmer, M. Gadermayr, G. Wolkersdörfer, R. Kwitt, T. Tamaki, J. Tischendorf, M. Häfner, S. Yoshida, S. Tanaka, D. Merhof, A. Uhl, "Quest for the best endoscopic imaging modality for computer-assisted colonic polyp staging", World Journal of Gastroenterology (WJG, IF 3.4), 2019.
Konferenzbeiträge und Conference Proceedings
C. Binder, D. Draxler, C. Neureiter, and G. Lastro, “Towards a Model-Centric Approach for developing Functional Architectures in Industry 4.0 Systems,” , 2019.
C. Binder, J. Gross, C. Neureiter, and G. Lastro, “Investigating Emergent Behavior caused by Electric Vehicles in the Smart Grid using Co-Simulation,” in 14th Annual Conference System of Systems Engineering (SoSE), Anchorage, Alaska, USA, 2019.
C. Brunner, F. Knirsch, and D. Engel, “SPROOF : A platform for issuing and verifying documents in a public blockchain,” in Proceedings of the 5th International Conference on Information Systems Security and Privacy (ICISSP), Prague, Czech Republic, 2019, pp. 15-25.
D. Draxler, C. Neureiter, G. Lastro, T. Schwartzkopff, and M. Boumans, “A Domain Specific Systems Engineering Framework for modelling Electric Vehicle Architectures,” in 2019 IEEE Conference and Expo Transportation Electrification Asia-Pacific (ITEC Asia-Pacific), Jeju, Korea, 2019, p. 1–6.
D. Engel, A. Unterweger, S. Lehnhoff, and F. Kupzog (Eds.), "Proceedings of the 8th DACH+ Conference on Energy Informatics", in Energy Informatics 2019, Vol. 2(Suppl. 1).
C. Ferner, and S. Wegenkittl, "A Semi-discriminative Approach for Sub-sentence Level Topic Classification on a Small Dataset", In Machine Learning and Knowledge Discovery in Databases, Springer, 2019.
M. Fischinger, N. Egger, C. Binder, and C. Neureiter, “Towards a Model-centric Approach for Developing Dependable Smart Grid Applications,” in 2019 4th International Conference on System Reliability and Safety (ICSRS), 2019, p. 1–9.
M. Fischinger, C. Neureiter, C. Binder, N. Egger, and M. Renoth, “FREDOSAR: Towards a security-aware open system architecture framework supporting model based systems engineering,” in 8th International Conference on Smart Cities and Green ICT Systems (SMARTGREENS), Heraklion, Crete – Greece, 2019, pp. 108-115.
M. Gadermayr, L. Gupta, B. M. Klinkhammer, P. Boor, D. Merhof, "Unsupervisedly Training GANs for Segmenting Digital Pathology with Automatically Generated Annotations", In Proceedings of the International Conference on Medical Imaging with Deep Learning (MIDL), 2019.
M. Gadermayr, B. M. Klinkhammer, P. Boor, "Virtually Redying Histological Images with Generative Adversarial Networks to Facilitate Unsupervised Segmentation: a Proof-of-Concept Study", In Proceedings of the International Congress on Digital Pathology (ECDP), 2019.
L. Gupta, B. Klinkhammer, P. Boor, D. Merhof, M. Gadermayr, "Iterative learning to make the most of unlabeled and quickly obtained labeled data in histology", In Proceedings of the International Conference on Medical Imaging with Deep Learning (MIDL), 2019.
L. Gupta, B. Klinkhammer, P. Boor, D. Merhof and M. Gadermayr, "GAN-Based Image Enrichment in Digital Pathology Boosts Segmentation Accuracy", In Proceedings of the International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2019.
P. Haber, T. Lampoltshammer, & M. Mayr, "Data science - analytics and applications: proceedings of the 2nd International Data Science Conference - iDSC2019. Wiesbaden, Springer Vieweg. https://doi.org/10.1007/978-3-658-27495-5
M. Schnöll, C. Ferner, and S. Wegenkittl, "The Effectiveness of the Max Entropy Classifier for Feature Selection". In Data Science – Analytics and Applications, 2019, 37–39. https://doi.org/10.1007/978-3-658-27495-5_4
M. E. Tschuchnig, D. Radovanovic, E. Hirsch, A. Oberluggauer and G. Schäfer, "Immutable and Democratic Data in Permissionless Peer-to-Peer Systems," 2019 Sixth International Conference on Software Defined Systems (SDS), Rome, Italy, 2019, pp. 294-299. https://doi.org/10.1109/SDS.2019.8768645