• 316 Citations
  • 10 h-Index
19962021
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Personal profile

External positions

Fingerprint Dive into the research topics where Vasilis Zarikas is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

Bayesian networks Engineering & Materials Science
gravitation Physics & Astronomy
Elevators Engineering & Materials Science
universe Physics & Astronomy
dark energy Physics & Astronomy
asymmetry Physics & Astronomy
Fuzzy rules Engineering & Materials Science
Telemetering Engineering & Materials Science

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

Projects 2019 2021

Quantum Gravity at astrophysical distances

Zarikas, V., Malafarina, D., Abdikamalov, E., Bonanno, A. M., Sakellariadou, M. & Kofinas, G.

1/31/1912/31/21

Project: Research project

astrophysics
gravitation
antigravity
universe
tuning

Research Output 1996 2020

Efficient Bayesian Expert Models for Fever in Neutropenia and Fever in Neutropenia with Bacteremia

Darmeshov, B. & Zarikas, V., Jan 1 2020, Proceedings of the Future Technologies Conference, FTC 2019 Volume 1. Arai, K., Bhatia, R. & Kapoor, S. (eds.). Springer, p. 124-143 20 p. (Advances in Intelligent Systems and Computing; vol. 1069).

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

Unsupervised learning
Supervised learning
Statistical Models
3 Citations (Scopus)

Constraining the Asymptotically Safe cosmology: Cosmic acceleration without dark energy

Anagnostopoulos, F. K., Basilakos, S., Kofinas, G. & Zarikas, V., Feb 26 2019, In : Journal of Cosmology and Astroparticle Physics. 2019, 2, 053.

Research output: Contribution to journalArticle

dark energy
cosmology
antigravity
galaxies
probes

IR quantum gravity solves naturally cosmic acceleration and its coincidence problem

Anagnostopoulos, F. K., Kofinas, G. & Zarikas, V., Jan 1 2019, (Accepted/In press) In : International Journal of Modern Physics D.

Research output: Contribution to journalArticle

Quantum Gravity
Coincidence
Galaxies
gravity
gravitation
Open Access
Optimal Allocation
Prediction Model
Energy
Forecast
Wind Loads

Probabilistic method for estimation of spinning reserves in multi-connected power systems with Bayesian network-based rescheduling algorithm

Bapin, Y. & Zarikas, V., Jan 1 2019, ICAART 2019 - Proceedings of the 11th International Conference on Agents and Artificial Intelligence. Steels, L., Rocha, A. & van den Herik, J. (eds.). SciTePress, p. 840-849 10 p. (ICAART 2019 - Proceedings of the 11th International Conference on Agents and Artificial Intelligence; vol. 2).

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

Bayesian networks
Outages
Costs