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Verena Kantere
Vasiliki Kantere
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- affiliation: University of Ottawa, Canada
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2020 – today
- 2024
- [c84]Baoming Chang
, Amin Kamali
A Novel Technique for Query Plan Representation Based on Graph Neural Nets. DaWaK 2024: 299-314 - [c83]Trung-Dung Le
Form-Based Semantic Caching on Time Series. ICCSA (1) 2024: 298-315 - [c82]Amin Kamali, Verena Kantere, Calisto Zuzarte:
Robust Query Optimization in the Era of Machine Learning: State-of-the-Art and Future Directions. ICDE 2024: 5371-5375 - [c81]Amin Kamali
RobOpt: A Tool for Robust Workload Optimization Based on Uncertainty-Aware Machine Learning. SIGMOD Conference Companion 2024: 468-471 - [i5]Amin Kamali, Verena Kantere, Calisto Zuzarte, Vincent Corvinelli:
Roq: Robust Query Optimization Based on a Risk-aware Learned Cost Model. CoRR abs/2401.15210 (2024) - [i4]Baoming Chang, Amin Kamali, Verena Kantere:
A Novel Technique for Query Plan Representation Based on Graph Neural Nets. CoRR abs/2405.04814 (2024) - 2023
- [c80]Ning Wang, Amin Kamali, Verena Kantere, Calisto Zuzarte, Vincent Corvinelli, Brandon Frendo, Steve Donoghue:
A Hybrid Cost Model for Evaluating Query Execution Plans. AIKE 2023: 133-138 - [c79]Amin Kamali, Calisto Zuzarte, Verena Kantere, Jaroslaw Szlichta, Yueting Chen, Xiaohui Yu, Ning Wang:
ML4DM '23: The Third Workshop on the Emerging Applications of Machine Learning in Modern Data Management. CASCON 2023: 251-253 - [c78]Damianos Chatziantoniou, Verena Kantere:
Data-driven and On-Demand Conceptual Modeling. DaWaK 2023: 340-355 - [c77]Athanasios Georgoutsos
Early ICU Mortality Prediction with Deep Federated Learning: A Real-World Scenario. SSDBM 2023: 21:1-21:4 - [c76]Athanasios Georgoutsos, Paraskevas Kerasiotis, Verena Kantere:
Federated Learning Performance on Early ICU Mortality Prediction with Extreme Data Distributions. WISE 2023: 483-495 - [e4]George Fletcher, Verena Kantere:
Proceedings of the Workshops of the EDBT/ICDT 2023 Joint Conference, Ioannina, Greece, March, 28, 2023. CEUR Workshop Proceedings 3379, CEUR-WS.org 2023 [contents] - [i3]Manolis Katsaragakis, Christos Baloukas, Lazaros Papadopoulos, Verena Kantere, Francky Catthoor, Dimitrios Soudris
Energy Consumption Evaluation of Optane DC Persistent Memory for Indexing Data Structures. CoRR abs/2304.00953 (2023) - 2022
- [j17]Konstantinos Skitsas, Ioannis G. Papageorgiou, Mohammad Sadegh Talebi, Vasiliki Kantere, Michael N. Katehakis, Panagiotis Karras:
SIFTER: Space-Efficient Value Iteration for Finite-Horizon MDPs. Proc. VLDB Endow. 16(1): 90-98 (2022) - [c75]Damianos Chatziantoniou, Verena Kantere, Nikos Antoniou, Angeliki Gantzia:
Data Virtual Machines: Simplifying Data Sharing, Exploration & Querying in Big Data Environments. IEEE Big Data 2022: 373-380 - [c74]Amin Kamali, Jarek Szlichta, Calisto Zuzarte, Yueting Chen, Verena Kantere, Shaikh Quader:
ML4DM: The second workshop on the emerging applications of machine learning in modern data management. CASCON 2022: 229-231 - [c73]Michail Georgoulakis, Laurent d'Orazio, Verena Kantere:
From Cloud to Serverless: MOO in the new Cloud epoch. EDBT 2022: 1-4 - [c72]Manolis Katsaragakis, Christos Baloukas, Lazaros Papadopoulos, Verena Kantere, Francky Catthoor, Dimitrios Soudris
Energy Consumption Evaluation of Optane DC Persistent Memory for Indexing Data Structures. HIPC 2022: 75-84 - [c71]Michail Georgoulakis Misegiannis, Vasiliki Kantere, Laurent d'Orazio:
Multi-objective query optimization in Spark SQL. IDEAS 2022: 70-74 - 2021
- [j16]Maria Krommyda, Verena Kantere:
Spatial Data Management in IoT Systems: Solutions and Evaluation. Int. J. Semantic Comput. 15(1): 117-139 (2021) - [j15]Mary Karatzoglidi, Paraskevas Kerasiotis, Verena Kantere:
Automated energy consumption forecasting with EnForce. Proc. VLDB Endow. 14(12): 2771-2774 (2021) - [j14]Konstantinos Tsitseklis
Scalable Community Detection for Complex Data Graphs via Hyperbolic Network Embedding and Graph Databases. IEEE Trans. Netw. Sci. Eng. 8(2): 1269-1282 (2021) - [c70]Amin Kamali, Calisto Zuzarte, Verena Kantere:
Emerging applications of machine learning in modern data management. CASCON 2021: 284-286 - [c69]Maria Krommyda, Verena Kantere:
SPARQL-vision: A Platform for Querying, Visualising and Exploring SPARQL endpoints. CIKM 2021: 4730-4733 - [c68]Marinos Tzanikos, Maria Krommyda, Verena Kantere:
A Highly Modular Architecture for Canned Pattern Selection Problem. DEXA (2) 2021: 77-83 - [c67]Damianos Chatziantoniou, Verena Kantere:
Data Virtual Machines: Enabling Data Virtualization. Poly/DMAH@VLDB 2021: 3-13 - [c66]Maria Krommyda, Konstantinos Tsitseklis, Verena Kantere, Vasileios Karyotis, Symeon Papavassiliou:
Visualizing and Exploring Big Datasets based on Semantic Community Detection. EDBT 2021: 678-681 - [c65]Damianos Chatziantoniou, Verena Kantere:
Just-In-Time Modeling with DataMingler. ER Demos/Posters 2021: 43-48 - [c64]Damianos Chatziantoniou, Verena Kantere:
DataMingler: A Novel Approach to Data Virtualization. SIGMOD Conference 2021: 2681-2685 - 2020
- [j13]Maria Krommyda, Verena Kantere:
Semantic Analysis for Conversational Datasets: Improving Their Quality Using Semantic Relationships. Int. J. Semantic Comput. 14(3): 395-422 (2020) - [j12]Trung-Dung Le
Dynamic Estimation and Grid Partitioning Approach for Multi-objective Optimization Problems in Medical Cloud Federations. Trans. Large Scale Data Knowl. Centered Syst. 46: 32-66 (2020) - [c63]Verena Kantere:
Processing Big Data Across Infrastructures. BigData 2020: 38-51 - [c62]Damianos Chatziantoniou, Verena Kantere:
Data Virtual Machines: Data-Driven Conceptual Modeling of Big Data Infrastructures. EDBT/ICDT Workshops 2020 - [c61]Herald Kllapi, Ilia Pietri
Automated Management of Indexes for Dataflow Processing Engines in IaaS Clouds. EDBT 2020: 169-180 - [c60]Maria Krommyda, Verena Kantere:
Visualization Systems for Linked Datasets. ICDE 2020: 1790-1793 - [c59]Maria Krommyda, Verena Kantere, Yannis Vassiliou:
Efficient Representation of Very Large Linked Datasets as Graphs. ICEIS (1) 2020: 106-115
2010 – 2019
- 2019
- [c58]Trung-Dung Le
Optimizing DICOM Data Management with NSGA-G. DOLAP 2019 - [c57]Trung-Dung Le, Verena Kantere, Laurent d'Orazio:
Dynamic Estimation for Medical Data Management in a Cloud Federation. EDBT/ICDT Workshops 2019 - [c56]Maria Krommyda, Verena Kantere:
Understanding SPARQL Endpoints through Targeted Exploration and Visualization. GC 2019: 21-28 - [c55]Maria Krommyda, Verena Kantere, Yannis Vassiliou:
IVLG: Interactive Visualization of Large Graphs. ICDE 2019: 1984-1987 - [c54]Maria Krommyda, Verena Kantere, Yannis Vassiliou:
Divide and Conquer Technique for Large Linked Datasets. MEDES 2019: 120-125 - 2018
- [c53]Trung-Dung Le
An efficient multi-objective genetic algorithm for cloud computing: NSGA-G. IEEE BigData 2018: 3883-3888 - [c52]Maxim Filatov, Verena Kantere:
Recalibration of Analytics Workflows. EDBT 2018: 642-645 - 2017
- [j11]Victor I. Chang
Emerging services for Internet of Things. J. Netw. Comput. Appl. 89: 1-2 (2017) - [c51]Konstantinos Lolos, Ioannis Konstantinou, Verena Kantere, Nectarios Koziris:
Elastic management of cloud applications using adaptive reinforcement learning. IEEE BigData 2017: 203-212 - [c50]Konstantinos Lolos, Ioannis Konstantinou, Verena Kantere, Nectarios Koziris:
Rethinking reinforcement learning for cloud elasticity. SoCC 2017: 648 - [c49]Maxim Filatov, Verena Kantere:
Multi-workflow optimization in PAW. EDBT 2017: 566-569 - [c48]Maxim Filatov, Verena Kantere, Iluju Kiringa:
Workflow Optimization in PAW. ICDCS 2017: 2045-2052 - [c47]Konstantinos Lolos, Ioannis Konstantinou, Verena Kantere, Nectarios Koziris:
Adaptive State Space Partitioning of Markov Decision Processes for Elastic Resource Management. ICDE 2017: 191-194 - [e3]Muthu Ramachandran, Víctor Méndez Muñoz, Verena Kantere, Gary B. Wills, Robert John Walters, Victor Chang:
Proceedings of the 2nd International Conference on Internet of Things, Big Data and Security, IoTBDS 2017, Porto, Portugal, April 24-26, 2017. SciTePress 2017, ISBN 978-989-758-245-5 [contents] - [i2]Konstantinos Lolos, Ioannis Konstantinou, Verena Kantere, Nectarios Koziris:
Elastic Resource Management with Adaptive State Space Partitioning of Markov Decision Processes. CoRR abs/1702.02978 (2017) - 2016
- [c46]Verena Kantere:
The New Era of Multi-dimensional Data Management. CLOSER (1) 2016: 19 - [c45]Verena Kantere:
Query Similarity for Approximate Query Answering. DEXA (2) 2016: 355-367 - [c44]Katerina Doka, Maxim Filatov, Victor Giannakouris, Verena Kantere, Nectarios Koziris, Christos Mantas, Nikolaos Papailiou, Vassilis Papaioannou, Dimitrios Tsoumakos:
Optimizing, Planning and Executing Analytics Workflows over Multiple Engines. EDBT/ICDT Workshops 2016 - [c43]Maxim Filatov, Verena Kantere:
PAW: A Platform for Analytics Workflows. EDBT 2016: 624-627 - [c42]Chung-Sheng Li, Frederica Darema, Verena Kantere, Victor Chang:
Orchestrating the Cognitive Internet of Things. IoTBD 2016: 96-101 - [c41]Verena Kantere:
Datom Continued: Towards Multi-Objective Optimization of Data Management Entities. IRI 2016: 275-282 - [c40]Alexandros Kontarinis, Verena Kantere, Nectarios Koziris:
Cloud Resource Allocation from the User Perspective: A Bare-Bones Reinforcement Learning Approach. WISE (1) 2016: 457-469 - [e2]Verena Kantere, Barbara Koch:
European Space project on Smart Systems, Big Data, Future Internet - Towards Serving the Grand Societal Challenges, Rome, Italy, April 21-28, 2016. SciTePress 2016, ISBN 978-989-758-207-3 [contents] - 2015
- [j10]Verena Kantere, Dimos Bousounis, Timos K. Sellis
Mapping Discovery Over Revealing Schemas. Int. J. Cooperative Inf. Syst. 24(4): 1550006:1-1550006:43 (2015) - [c39]Verena Kantere, Maxim Filatov:
A Workflow Model for Adaptive Analytics on Big Data. BigData Congress 2015: 673-676 - [c38]Verena Kantere:
Approximate Queries on Big Heterogeneous Data. BigData Congress 2015: 712-715 - [c37]Verena Kantere, Maxim Filatov:
A Framework for Big Data Analytics. C3S2E 2015: 125-132 - [c36]Verena Kantere, George Orfanoudakis
Query Relaxation across Heterogeneous Data Sources. CIKM 2015: 473-482 - [c35]Ioannis Mytilinis, Dimitrios Tsoumakos, Verena Kantere, Anastassios Nanos
I/O Performance Modeling for Big Data Applications over Cloud Infrastructures. IC2E 2015: 201-206 - [c34]Verena Kantere:
Datom: Towards Modular Data Management. IRI 2015: 443-450 - [c33]Verena Kantere, Maxim Filatov:
Modelling Processes of Big Data Analytics. WISE (1) 2015: 309-322 - [e1]Victor Chang, Muthu Ramachandran, Gary B. Wills, Robert John Walters, Verena Kantere, Chung-Sheng Li:
ESaaSA 2015 - Proceedings of the 2nd International Workshop on Emerging Software as a Service and Analytics, Lisbon, Portugal, 20-22 May, 2015. SciTePress 2015, ISBN 978-989-758-110-6 [contents] - 2014
- [c32]Katerina Stamou, Verena Kantere, Jean-Henry Morin, Antonella Longo
Checkpoints for Service Level Operations. IEEE SCC 2014: 323-330 - [c31]Verena Kantere:
A Holistic Framework for Big Scientific Data Management. BigData Congress 2014: 220-226 - [c30]Verena Kantere:
An Open Market of Cloud Data Services. CLOSER 2014: 439-444 - [c29]Verena Kantere:
Mapping Construction Compliant with Schema Semantics. DEXA (2) 2014: 357-365 - [c28]Katerina Stamou, Verena Kantere, Jean-Henry Morin, Michael Georgiou:
SLA Information Management through Dependency Digraphs: The Case of Cloud Data Services. HICSS 2014: 5038-5047 - 2013
- [c27]Katerina Stamou, Verena Kantere, Jean-Henry Morin:
SLA data management criteria. IEEE BigData 2013: 34-42 - [c26]Katerina Stamou, Verena Kantere, Jean-Henry Morin, Michael Georgiou:
A SLA graph model for data services. CloudDB@CIKM 2013: 27-34 - [c25]Ioannis Konstantinou, Verena Kantere, Dimitrios Tsoumakos, Nectarios Koziris:
COCCUS: self-configured cost-based query services in the cloud. SIGMOD Conference 2013: 1041-1044 - [i1]Verena Kantere:
Datom: Towards modular data management. CoRR abs/1312.0156 (2013) - 2012
- [c24]Verena Kantere:
A Framework for Cost-Aware Cloud Data Management. OTM Conferences (1) 2012: 146-163 - 2011
- [j9]Verena Kantere, Dimos Bousounis, Timos K. Sellis:
GrouPeer: A System for Clustering PDMSs. Proc. VLDB Endow. 4(12): 1371-1374 (2011) - [j8]Verena Kantere, Debabrata Dash, Grégory François
Optimal Service Pricing for a Cloud Cache. IEEE Trans. Knowl. Data Eng. 23(9): 1345-1358 (2011) - [c23]Verena Kantere, Debabrata Dash, Georgios Gratsias, Anastasia Ailamaki:
Predicting cost amortization for query services. SIGMOD Conference 2011: 325-336 - [c22]Angelos Vasilakopoulos, Verena Kantere:
Efficient Query Computing for Uncertain Possibilistic Databases with Provenance. TaPP 2011 - 2010
- [j7]Anastasia Ailamaki, Verena Kantere, Debabrata Dash:
Managing scientific data. Commun. ACM 53(6): 68-78 (2010) - [j6]Verena Kantere, Maher Manoubi, Iluju Kiringa, Timos K. Sellis, John Mylopoulos:
Peer coordination through distributed triggers. Proc. VLDB Endow. 3(2): 1561-1564 (2010) - [c21]Adrian Daniel Popescu, Debabrata Dash, Verena Kantere, Anastasia Ailamaki:
Adaptive query execution for data management in the cloud. CloudDB@CIKM 2010: 17-24
2000 – 2009
- 2009
- [j5]Verena Kantere, Dimitrios Tsoumakos, Timos K. Sellis
GrouPeer: Dynamic clustering of P2P databases. Inf. Syst. 34(1): 62-86 (2009) - [j4]Verena Kantere, Spiros Skiadopoulos
Storing and Indexing Spatial Data in P2P Systems. IEEE Trans. Knowl. Data Eng. 21(2): 287-300 (2009) - [c20]Dimitrios Skoutas
Top-k dominant web services under multi-criteria matching. EDBT 2009: 898-909 - [c19]Verena Kantere, Dimos Bousounis, Timos K. Sellis
A tool for mapping discovery over revealing schemas. EDBT 2009: 1124-1127 - [c18]Debabrata Dash, Verena Kantere, Anastasia Ailamaki:
An Economic Model for Self-Tuned Cloud Caching. ICDE 2009: 1687-1693 - 2008
- [j3]Verena Kantere, Dimitrios Tsoumakos, Timos K. Sellis
A framework for semantic grouping in P2P databases. Inf. Syst. 33(7-8): 611-636 (2008) - [c17]Dimitris Sacharidis
On-line discovery of hot motion paths. EDBT 2008: 392-403 - [c16]Verena Kantere, Konstantina Palla, Kostas Patroumpas, Timos K. Sellis
A Simulator for a Mobile Peer-to-Peer Database Environment. MDM 2008: 223-224 - [c15]Verena Kantere, Maria-Eirini Politou, Timos K. Sellis
Conceptual Synopses of Semantics in Social Networks Sharing Structured Data. OTM Conferences (2) 2008: 1367-1384 - [c14]Dimitrios Skoutas
Efficient Semantic Web Service Discovery in Centralized and P2P Environments. ISWC 2008: 583-598 - 2007
- [j2]Verena Kantere, Iluju Kiringa, John Mylopoulos:
Supporting Distributed Event-Condition-Action Rules in a Multidatabase Environment. Int. J. Cooperative Inf. Syst. 16(3/4): 467-506 (2007) - [c13]Verena Kantere, Dimitrios Tsoumakos, Timos K. Sellis
Semantic Grouping of Social Networks in P2P Database Settings. DEXA 2007: 689-699 - [c12]Verena Kantere, Timos K. Sellis
Handling spatial data in distributed environments. GIS 2007: 3 - [c11]Dimitrios Skoutas
Ontology-Based Data Sharing in P2P Databases. SWDB-ODBIS 2007: 117-137 - [c10]Verena Kantere, Timos K. Sellis
A Study for the Parameters of a Distributed Framework That Handles Spatial Areas. SSTD 2007: 385-402 - 2006
- [c9]Verena Kantere, Timos K. Sellis
Reusing Classical Query Rewriting in P2P Databases. DBISP2P 2006: 285-297 - [c8]Dan Zhao, John Mylopoulos, Iluju Kiringa, Verena Kantere:
An ECA Rule Rewriting Mechanism for Peer Data Management Systems. EDBT 2006: 1069-1078 - [c7]Verena Kantere, Timos K. Sellis
Data Exchange Issues in Peer-to-Peer Database Systems. ICEIS (Selected Papers) 2006: 29-37 - [c6]Verena Kantere, Iluju Kiringa, QingQing Zhou, John Mylopoulos, Gregory McArthur:
Distributed Triggers for Peer Data Management. OTM Conferences (1) 2006: 17-35 - 2005
- [c5]Verena Kantere, Aris Tsois:
Using ECA rules to implement mobile query agents for fast-evolving pure P2P database systems. Mobile Data Management 2005: 164-172 - 2004
- [c4]Verena Kantere, Aris Tsois:
Using ECA Rules to Implement Mobile Query Agents for Fast-Evolving Pure P2P Networks. AAMAS 2004: 1510-1511 - [c3]Verena Kantere, Dimitrios Tsoumakos, Nick Roussopoulos:
Querying structured data in an unstructured P2P system. WIDM 2004: 64-71 - 2003
- [j1]Marcelo Arenas, Vasiliki Kantere, Anastasios Kementsietsidis, Iluju Kiringa, Renée J. Miller, John Mylopoulos:
The hyperion project: from data integration to data coordination. SIGMOD Rec. 32(3): 53-58 (2003) - [c2]Vasiliki Kantere, John Mylopoulos, Iluju Kiringa:
A Distributed Rule Mechanism for Multidatabase Systems. OTM 2003: 56-73 - [c1]Vasiliki Kantere, Iluju Kiringa, John Mylopoulos, Anastasios Kementsietsidis, Marcelo Arenas:
Coordinating Peer Databases Using ECA Rules. DBISP2P 2003: 108-122
Coauthor Index
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