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Anestis Tsakmalis
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Journal Articles
- 2021
- [j5]Wei Ma, Mike Papadakis
, Anestis Tsakmalis, Maxime Cordy
, Yves Le Traon
:
Test Selection for Deep Learning Systems. ACM Trans. Softw. Eng. Methodol. 30(2): 13:1-13:22 (2021) - 2019
- [j4]Sajad Mehrizi
, Anestis Tsakmalis, Symeon Chatzinotas
, Björn E. Ottersten:
A Bayesian Poisson-Gaussian Process Model for Popularity Learning in Edge-Caching Networks. IEEE Access 7: 92341-92354 (2019) - 2018
- [j3]Anestis Tsakmalis
, Symeon Chatzinotas
, Björn E. Ottersten
:
Constrained Bayesian Active Learning of Interference Channels in Cognitive Radio Networks. IEEE J. Sel. Top. Signal Process. 12(1): 6-19 (2018) - 2017
- [j2]Anestis Tsakmalis
, Symeon Chatzinotas
, Björn E. Ottersten:
Interference Constraint Active Learning with Uncertain Feedback for Cognitive Radio Networks. IEEE Trans. Wirel. Commun. 16(7): 4654-4668 (2017) - 2016
- [j1]Anestis Tsakmalis
, Symeon Chatzinotas
, Björn E. Ottersten:
Centralized Power Control in Cognitive Radio Networks Using Modulation and Coding Classification Feedback. IEEE Trans. Cogn. Commun. Netw. 2(3): 223-237 (2016)
Conference and Workshop Papers
- 2019
- [c8]Sajad Mehrizi
, Anestis Tsakmalis, Symeon Chatzinotas
, Björn E. Ottersten:
Content Popularity Estimation in Edge-Caching Networks from Bayesian Inference Perspective. CCNC 2019: 1-6 - [c7]Sajad Mehrizi
, Anestis Tsakmalis, Shahram ShahbazPanahi
, Symeon Chatzinotas
, Björn E. Ottersten:
Popularity Tracking for Proactive Content Caching with Dynamic Factor Analysis. ICCC 2019: 875-880 - [c6]Sajad Mehrizi
, Anestis Tsakmalis, Symeon Chatzinotas
, Björn E. Ottersten:
A Feature-Based Bayesian Method for Content Popularity Prediction in Edge-Caching Networks. WCNC 2019: 1-6 - 2018
- [c5]Anestis Tsakmalis, Symeon Chatzinotas
, Björn E. Ottersten:
Constrained Bayesian Active Learning of a Linear Classifier. ICASSP 2018: 6663-6667 - 2016
- [c4]Anestis Tsakmalis, Symeon Chatzinotas
, Björn E. Ottersten:
Active interference constraint learning with uncertain feedback for Cognitive Radio Networks. ICC 2016: 1-6 - 2015
- [c3]Anestis Tsakmalis, Symeon Chatzinotas
, Björn E. Ottersten:
Power Control in Cognitive Radio Networks Using Cooperative Modulation and Coding Classification. CrownCom 2015: 358-369 - 2014
- [c2]Anestis Tsakmalis, Symeon Chatzinotas
, Björn E. Ottersten:
Automatic Modulation Classification for adaptive Power Control in cognitive satellite communications. ASMS/SPSC 2014: 234-240 - [c1]Anestis Tsakmalis, Symeon Chatzinotas
, Björn E. Ottersten:
Modulation and Coding Classification for Adaptive Power Control in 5G Cognitive Communications. SPAWC 2014: 234-238
Informal and Other Publications
- 2019
- [i3]Wei Ma, Mike Papadakis, Anestis Tsakmalis, Maxime Cordy, Yves Le Traon:
Test Selection for Deep Learning Systems. CoRR abs/1904.13195 (2019) - 2017
- [i2]Anestis Tsakmalis, Symeon Chatzinotas, Björn E. Ottersten:
Constrained Bayesian Active Learning of Interference Channels in Cognitive Radio Networks. CoRR abs/1710.08335 (2017) - 2015
- [i1]Anestis Tsakmalis, Symeon Chatzinotas, Björn E. Ottersten:
Centralized Power Control in Cognitive Radio Networks Using Modulation and Coding Classification Feedback. CoRR abs/1510.06634 (2015)
Coauthor Index
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