Projects per year
Fingerprint The Fingerprint is created by mining the titles and abstracts of the person's research outputs and projects/funding awards to create an index of weighted terms from discipline-specific thesauri.
- 6 Similar Profiles
Fading channels
Engineering & Materials Science
Orthogonal frequency division multiplexing
Engineering & Materials Science
Communication
Engineering & Materials Science
Channel estimation
Engineering & Materials Science
Transmitters
Engineering & Materials Science
Ultra-wideband (UWB)
Engineering & Materials Science
Channel state information
Engineering & Materials Science
Cognitive radio
Engineering & Materials Science
Network
Recent external collaboration on country level. Dive into details by clicking on the dots.
Projects 2002 2022
CIF: Medium: Adaptive Diffusions for Scalable and Robust Learning over Graphs
Giannakis, G. B. & Nikolakopoulos, A.
10/1/19 → 9/30/22
Project: Research project
Learning
Research
ECCS-EPCN: Stochastic Power Control and Learning for Ene
Giannakis, G. B. & Kekatos, V.
8/1/15 → 7/31/20
Project: Research project
Power control
Research
IEEE SPS Summer School on Network- and Data-driven Learning: Fundamentals and Applications
INST ELECTRICAL & ELECTRONICS ENG (IEEE)
3/20/19 → 5/24/19
Project: Research project
school
learning
Research Output 1986 2019
2
Citations
(Scopus)
AdaDIF: Adaptive Diffusions for Efficient Semi-supervised Learning over Graphs
Berberidis, D., Nikolakopoulos, A. & Giannakis, G. B., Jan 22 2019, Proceedings - 2018 IEEE International Conference on Big Data, Big Data 2018. Song, Y., Liu, B., Lee, K., Abe, N., Pu, C., Qiao, M., Ahmed, N., Kossmann, D., Saltz, J., Tang, J., He, J., Liu, H. & Hu, X. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 92-99 8 p. 8622130. (Proceedings - 2018 IEEE International Conference on Big Data, Big Data 2018).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Supervised learning
Labels
Landing
Scalability
Classifiers
2
Citations
(Scopus)
Adaptive Bayesian Radio Tomography
Lee, D., Berberidis, D. & Giannakis, G. B., Apr 15 2019, In : IEEE Transactions on Signal Processing. 67, 8, p. 1964-1977 14 p., 8662745.Research output: Contribution to journal › Article
Tomography
Imaging techniques
Radio interference
Disasters
Markov processes
1
Citation
(Scopus)
Adaptive diffusions for scalable learning over graphs
Berberidis, D., Nikolakopoulos, A. N. & Giannakis, G. B., Mar 1 2019, In : IEEE Transactions on Signal Processing. 67, 5, p. 1307-1321 15 p., 8590776.Research output: Contribution to journal › Article
Labels
Classifiers
Landing
Scalability
Topology
1
Citation
(Scopus)
A Recurrent Graph Neural Network for Multi-relational Data
Ioannidis, V. N., Marques, A. G. & Giannakis, G. B., May 1 2019, 2019 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2019 - Proceedings. Institute of Electrical and Electronics Engineers Inc., p. 8157-8161 5 p. 8682836. (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings; vol. 2019-May).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Recurrent neural networks
Neural networks
Supervised learning
Network architecture
A Variational Bayes Approach to Adaptive Channel-gain Cartography
Lee, D. & Giannakis, G. B., May 2019, 2019 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2019 - Proceedings. Institute of Electrical and Electronics Engineers Inc., p. 8434-8438 5 p. 8683300. (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings; vol. 2019-May).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Sensors
Transceivers
Tomography