M.Sc. Natalia Shepeleva
Researcher Knowledge-Based Vision Systems
Telefon: +43 50 343 847
natalia.shepeleva@scch.at
Data Science - KVS
P. Meloni, D. Loi, G. Deriu, A. Pimentel, D. Saprat, M. Pintort, M. Pintort, B. Biggio, O. Ripolles, D. Solans, F. Conti, L. Benini, T. Stefanov, S. Minakova, B. Moser, N. Shepeleva, M. Masin, F. Palumbo, N. Fragoulis, I. Theodorakopoulos. Architecture-aware design and implementation of CNN algorithms for embedded inference: The ALOHA project. Proceedings of 2018 30th International Conference on Microelectronics (ICM 2018), pages 52-55, DOI 10.1109/ICM.2018.8704093, IEEE, May, 2019.
P. Meloni, D. Loi, G. Deriu, A. Pimentel, D. Sapra, B. Moser, N. Shepeleva, F. Conti, L. Benini, O. Ripolles, D. Solans, M. Pintor, B. Biggio, T. Stefanov, S. Minakova, N. Fragoulis, I. Theodorakopoulos, M. Masin, F. Palumbo. ALOHA: An architectural-aware framework for deep learning at the edge. roceedings of the Workshop on INTelligent Embedded Systems Architectures and Applications (INTESA'18), pages 19-26, DOI 10.1145/3285017.3285019, ACM, October, 2018.
N. Shepeleva, T. Hoch, L. Fischer, W. Kloihofer, B. Moser. Removing nuisance in tracklet data. In H. Bouma, R. Prabhu, R. Stokes, Y. Yitzjaky (editors), Counterterrorism, Crime Fighting, Forensics, and Surveillance Technologies II - Proc. SPIE 2018, volume 10802, pages 08020S, DOI 10.1117/12.2325636, SPIE, November, 2018.
