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Density Estimators for Positive-Unlabeled Learning.

T. Basile, N. Mauro, F. Esposito, S. Ferilli, and A. Vergari. NFMCP@PKDD/ECML, volume 10785 of Lecture Notes in Computer Science, page 49-64. Springer, (2017)

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Di Liu University of Stuttgart

Narrow inhomogeneous distribution of spin-active emitters in silicon carbideR. Nagy, D. Dasari, C. Babin, D. Liu, V. Vorobyov, M. Niethammer, M. Widmann, T. Linkewitz, I. Gediz, R. Stöhr and 7 other author(s). Applied physics letters, 118 (14): 144003 (2021)

Narrow inhomogeneous distribution of spin-active emitters in silicon carbideR. Nagy, D. Dasari, C. Babin, D. Liu, V. Vorobyov, M. Niethammer, M. Widmann, T. Linkewitz, I. Gediz, R. Stöhr and 7 other author(s). Applied physics letters, 118 (14): 144003 (2021)Hybrids Made of Defective Nanodiamonds Interacting with DNA NucleobasesD. Liu, and M. Fyta. Nanotechnology, 30 (6): 065601 (2019)Spin-controlled generation of indistinguishable and distinguishable photons from silicon vacancy centres in silicon carbideN. Morioka, C. Babin, R. Nagy, I. Gediz, E. Hesselmeier, D. Liu, M. Joliffe, M. Niethammer, D. Dasari, V. Vorobyov and 10 other author(s). Nature Communications, (2020)

Nicola Fanton University of Stuttgart

Nicola Mrdovic University of Stuttgart

Nicola Schuckert University of Stuttgart

PD Dr. Nicola Mößner University of Stuttgart

Other publications of authors with the same name

A Logic Programming Framework for Learning by Imitation.G. Bombini, N. Mauro, T. Basile, S. Ferilli, and F. Esposito. ICEIS (2), page 218-223. (2009)Discovering Logical Structures in Digital Documents.F. Esposito, S. Ferilli, T. Basile, and N. Mauro. Intelligent Information Systems, page 513-521. Springer, (2004)Multi-Dimensional Relational Sequence Mining.F. Esposito, N. Mauro, T. Basile, and S. Ferilli. Fundam. Inform., 89 (1): 23-43 (2008)Social networks and statistical relational learning: a survey.F. Esposito, S. Ferilli, T. Basile, and N. Mauro. IJSNM, 1 (2): 185-208 (2012)Inference of abduction theories for handling incompleteness in first-order learning.F. Esposito, S. Ferilli, T. Basile, and N. Mauro. Knowl. Inf. Syst., 11 (2): 217-242 (2007)Bandit-based Monte-Carlo structure learning of probabilistic logic programs.N. Mauro, E. Bellodi, and F. Riguzzi. Machine Learning, 100 (1): 127-156 (2015)Towards Representation Learning with Tractable Probabilistic Models.A. Vergari, N. Mauro, and F. Esposito. CoRR, (2016)SPFlow: An Easy and Extensible Library for Deep Probabilistic Learning using Sum-Product Networks.A. Molina, A. Vergari, K. Stelzner, R. Peharz, P. Subramani, N. Mauro, P. Poupart, and K. Kersting. CoRR, (2019)Relational Sequence Clustering for Aggregating Similar Agents.G. Bombini, N. Mauro, S. Ferilli, and F. Esposito. ISMIS, volume 5722 of Lecture Notes in Computer Science, page 361-370. Springer, (2009)Probabilistic Inference over Image Networks.C. Taranto, N. Mauro, and F. Esposito. IRCDL, volume 249 of Communications in Computer and Information Science, page 1-13. Springer, (2011)