Athanasios Nikolakopoulos

20132022
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Personal profile

Research interests

  • Network Science
  • Recommender Systems
  • Statistical Learning
  • Graph Mining
  • Signal Processing

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.

  • 2 Similar Profiles
Scalability Engineering & Materials Science
Labels Engineering & Materials Science
Experiments Engineering & Materials Science
Collaborative filtering Engineering & Materials Science
Classifiers Engineering & Materials Science
Topology Engineering & Materials Science
Supervised learning Engineering & Materials Science
Signal reconstruction Engineering & Materials Science

Network Recent external collaboration on country level. Dive into details by clicking on the dots.

Projects 2019 2022

Research Output 2013 2019

  • 14 Conference contribution
  • 5 Article
  • 1 Commissioned report
  • 1 Other chapter contribution
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 proceedingConference contribution

Supervised learning
Labels
Landing
Scalability
Classifiers
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 journalArticle

Labels
Classifiers
Landing
Scalability
Topology
3 Citations (Scopus)
49 Downloads (Pure)

EigenRec: generalizing PureSVD for effective and efficient top-N recommendations

Nikolakopoulos, A., Kalantzis, V., Gallopoulos, E. & Garofalakis, J. D., Jan 8 2019, In : Knowledge and Information Systems. 58, 1, p. 59-81 23 p.

Research output: Contribution to journalArticle

File
Experiments

Personalized difusions for top-n recommendation

Nikolakopoulos, A. N., Berberidis, D., Karypis, G. & Giannakis, G. B., Sep 10 2019, RecSys 2019 - 13th ACM Conference on Recommender Systems. Association for Computing Machinery, Inc, p. 260-268 9 p. (RecSys 2019 - 13th ACM Conference on Recommender Systems).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Open Access
Scalability
Experiments
Deep neural networks
2 Citations (Scopus)

Recwalk: Nearly uncoupled random walks for top-n recommendation

Nikolakopoulos, A. & Karypis, G., Jan 30 2019, WSDM 2019 - Proceedings of the 12th ACM International Conference on Web Search and Data Mining. Association for Computing Machinery, Inc, p. 150-158 9 p. (WSDM 2019 - Proceedings of the 12th ACM International Conference on Web Search and Data Mining).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Markov processes
Experiments
Deep neural networks

Fellowships, Honors, and Prizes

IEEE ICBK 2017 - Best Paper Award

Athanasios Nikolakopoulos (Recipient), Aug 9 2017

Prize: Prize (including medals and awards)

MLG@KDD2018 - Best Paper Award

Athanasios Nikolakopoulos (Recipient), Aug 20 2018

Prize: Prize (including medals and awards)

MLG@KDD2019 - Best Paper Award

Athanasios Nikolakopoulos (Recipient), Aug 5 2019

Prize: Prize (including medals and awards)