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2020 – today
- 2024
[j1]Nikolaos Chalvantzis, Aristotelis Vontzalidis, Evdokia Kassela, Aris Spyrou, Nikolaos Nikitas, Nikodimos Provatas, Ioannis Konstantinou, Nectarios Koziris:
IW-NET BDA: A Big Data Infrastructure for Predictive and Geotemporal Analytics of Inland Waterways. IEEE Access 12: 52503-52523 (2024)- 2021
- [c7]Nikodimos Provatas, Ioannis Konstantinou
, Nectarios Koziris:
Is Systematic Data Sharding able to Stabilize Asynchronous Parameter Server Training? IEEE BigData 2021: 1092-1101 - [c6]Andreas Krisilias, Nikodimos Provatas, Nectarios Koziris, Ioannis Konstantinou:
A Performance Evaluation of Distributed Deep Learning Frameworks on CPU Clusters Using Image Classification Workloads. IEEE BigData 2021: 3085-3094 - [c5]Nikodimos Provatas:
Exploiting Data Distribution in Distributed Learning of Deep Classification Models under the Parameter Server Architecture. PhD@VLDB 2021 - 2020
- [c4]Nikodimos Provatas, Evdokia Kassela, Nikolaos Chalvantzis, Anastasios Bakogiannis, Ioannis Giannakopoulos, Nectarios Koziris, Ioannis Konstantinou:
SELIS BDA: Big Data Analytics for the Logistics Domain. IEEE BigData 2020: 2416-2425
2010 – 2019
- 2019
- [c3]Evdokia Kassela, Nikodimos Provatas, Ioannis Konstantinou, Avrilia Floratou, Nectarios Koziris:
General-Purpose vs. Specialized Data Analytics Systems: A Game of ML & SQL Thrones. IEEE BigData 2019: 317-326 - [c2]Evdokia Kassela, Nikodimos Provatas, Asterios Tsiourvas, Ioannis Konstantinou, Nectarios Koziris:
BigOptiBase: Big Data Analytics for Base Station Energy Consumption Optimization. IEEE BigData 2019: 6098-6100 - [c1]Nikodimos Provatas, Ioannis Konstantinou, Nectarios Koziris:
Towards Faster Distributed Deep Learning Using Data Hashing Techniques. IEEE BigData 2019: 6189-6191
Coauthor Index
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