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Apostolos Glenis
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2020 – today
- 2024
- [c15]Kostas Filippopolitis, Yannis Foufoulas, Minos N. Garofalakis, Apostolos Glenis, Yannis E. Ioannidis, Thanasis-Michail Karampatsis, Maria-Olympia Katsouli, Evdokia Mailli, Asimakis Papageorgiou-Mariglis, Giorgos Papanikos, George Pikramenos, Jason Sakellariou, Alkis Simitsis, Pauline Ducouret, Philippe Ryvlin, Manuel-Guy Spuhler:
MIP: Advanced Data Processing and Analytics for Science and Medicine. EDBT 2024: 802-805 - 2023
- [c14]Apostolos Glenis:
PyExplore 2.0: Explainable, Approximate and Combined Clustering Based SQL Query Recommendations. MEDES 2023: 88-102 - 2022
- [j4]Georgios M. Santipantakis, Konstantinos I. Kotis, Apostolos Glenis, George A. Vouros, Christos Doulkeridis, Akrivi Vlachou:
RDF-Gen: generating RDF triples from big data sources. Knowl. Inf. Syst. 64(11): 2985-3015 (2022) - [c13]Apostolos Glenis, George A. Vouros:
SCALE-BOSS: A framework for scalable time-series classification using symbolic representations. SETN 2022: 20:1-20:9 - 2021
- [j3]Nikolaos Koutroumanis, Georgios M. Santipantakis, Apostolos Glenis, Christos Doulkeridis, George A. Vouros:
Scalable enrichment of mobility data with weather information. GeoInformatica 25(2): 291-309 (2021) - [j2]Antonis Mandamadiotis, Georgia Koutrika, Stavroula Eleftherakis, Apostolos Glenis, Dimitrios Skoutas, Yannis Stavrakas:
DatAgent: The Imminent Age of Intelligent Data Assistants. Proc. VLDB Endow. 14(12): 2815-2818 (2021) - [c12]Apostolos Glenis, Georgia Koutrika:
PyExplore: Query Recommendations for Data Exploration without Query Logs. SIGMOD Conference 2021: 2731-2735 - 2020
- [j1]Georgios M. Santipantakis, Apostolos Glenis, Kostas Patroumpas, Akrivi Vlachou, Christos Doulkeridis, George A. Vouros, Nikos Pelekis, Yannis Theodoridis:
SPARTAN: Semantic integration of big spatio-temporal data from streaming and archival sources. Future Gener. Comput. Syst. 110: 540-555 (2020) - [c11]George A. Vouros, Apostolos Glenis, Christos Doulkeridis:
The Delta Big Data Architecture for Mobility Analytics. BigDataService 2020: 25-32 - [c10]Apostolos Glenis, George A. Vouros:
Balancing Between Scalability and Accuracy in Time-Series Classification for Stream and Batch Settings. DS 2020: 265-279 - [c9]Apostolos Glenis:
Scalable Time Series Classification in streaming and batch environments on Apache Spark. IISA 2020: 1-8 - [p1]George A. Vouros, Apostolos Glenis, Christos Doulkeridis:
The δ Big Data Architecture for Mobility Analytics. Big Data Analytics for Time-Critical Mobility Forecasting 2020: 315-339
2010 – 2019
- 2019
- [c8]Nikolaos Koutroumanis, Georgios M. Santipantakis, Apostolos Glenis, Christos Doulkeridis, George A. Vouros:
Integration of Mobility Data with Weather Information. EDBT/ICDT Workshops 2019 - [c7]Akrivi Vlachou, Christos Doulkeridis, Apostolos Glenis, Georgios M. Santipantakis, George A. Vouros:
Efficient spatio-temporal RDF query processing in large dynamic knowledge bases. SAC 2019: 439-447 - [c6]Georgios M. Santipantakis, Apostolos Glenis, Christos Doulkeridis, Akrivi Vlachou, George A. Vouros:
stLD: towards a spatio-temporal link discovery framework. SBD@SIGMOD 2019: 4:1-4:6 - [c5]Petros Petrou, Panagiotis Nikitopoulos, Panagiotis Tampakis, Apostolos Glenis, Nikolaos Koutroumanis, Georgios M. Santipantakis, Kostas Patroumpas, Akrivi Vlachou, Harris V. Georgiou, Eva Chondrodima, Christos Doulkeridis, Nikos Pelekis, Gennady L. Andrienko, Fabian Patterson, Georg Fuchs, Yannis Theodoridis, George A. Vouros:
ARGO: A Big Data Framework for Online Trajectory Prediction. SSTD 2019: 194-197 - 2018
- [c4]Georgios M. Santipantakis, Apostolos Glenis, Nikolaos Kalaitzian, Akrivi Vlachou, Christos Doulkeridis, George A. Vouros:
FAIMUSS: Flexible Data Transformation to RDF from Multiple Streaming Sources. EDBT 2018: 662-665 - 2017
- [c3]Georgios M. Santipantakis, George A. Vouros, Apostolos Glenis, Christos Doulkeridis, Akrivi Vlachou:
The datAcron Ontology for Semantic Trajectories. ESWC (Satellite Events) 2017: 26-30 - 2014
- [c2]Apostolos Glenis, Sergios Petridis:
Performance and energy characterization of high-performance low-cost cornerness detection on GPUs and multicores. IISA 2014: 181-186 - 2012
- [c1]Apostolos Glenis, Vu Pham:
A Linear Algebra Approach to C-Means Clustering Using GPUs and MPI. Panhellenic Conference on Informatics 2012: 198-203
Coauthor Index
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last updated on 2024-10-07 21:16 CEST by the dblp team
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