Verena Kantere

ORCID

Publication Activity (10 Years)

Years Active: 2004-2024
Publications (10 Years): 54

Top Venues

Publications

Baoming Chang, Amin Kamali, Verena Kantere
A Novel Technique for Query Plan Representation Based on Graph Neural Nets. DaWaK (2024)
Trung-Dung Le, Verena Kantere, Laurent d'Orazio
Form-Based Semantic Caching on Time Series. ICCSA (1) (2024)
Amin Kamali, Verena Kantere, Calisto Zuzarte, Vincent Corvinelli
RobOpt: A Tool for Robust Workload Optimization Based on Uncertainty-Aware Machine Learning. SIGMOD Conference Companion (2024)
Amin Kamali, Verena Kantere, Calisto Zuzarte
Robust Query Optimization in the Era of Machine Learning: State-of-the-Art and Future Directions. ICDE (2024)
Baoming Chang, Amin Kamali, Verena Kantere
A Novel Technique for Query Plan Representation Based on Graph Neural Nets. CoRR (2024)
Amin Kamali, Verena Kantere, Calisto Zuzarte, Vincent Corvinelli
Roq: Robust Query Optimization Based on a Risk-aware Learned Cost Model. CoRR (2024)
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 (2023)
Athanasios Georgoutsos, Paraskevas Kerasiotis, Verena Kantere
Federated Learning Performance on Early ICU Mortality Prediction with Extreme Data Distributions. WISE (2023)
Athanasios Georgoutsos, Paraskevas Kerasiotis, Verena Kantere
Early ICU Mortality Prediction with Deep Federated Learning: A Real-World Scenario. SSDBM (2023)
Ning Wang, Amin Kamali, Verena Kantere, Calisto Zuzate, Vincent Corvinelli, Brandon Frendo, Steve Donoghue
A Hybrid Cost Model for Evaluating Query Execution Plans. AIKE (2023)
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)
Damianos Chatziantoniou, Verena Kantere
Data-driven and On-Demand Conceptual Modeling. DaWaK (2023)
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)
Damianos Chatziantoniou, Verena Kantere, Nikos Antoniou, Angeliki Gantzia
Data Virtual Machines: Simplifying Data Sharing, Exploration & Querying in Big Data Environments. Big Data (2022)
Michail Georgoulakis, Laurent d'Orazio, Verena Kantere
From Cloud to Serverless: MOO in the new Cloud epoch. EDBT (2022)
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)
Damianos Chatziantoniou, Verena Kantere
Just-In-Time Modeling with DataMingler. ER Demos/Posters (2021)
Marinos Tzanikos, Maria Krommyda, Verena Kantere
A Highly Modular Architecture for Canned Pattern Selection Problem. DEXA (2) (2021)
Konstantinos Tsitseklis, Maria Krommyda, Vasileios Karyotis, Verena Kantere, Symeon Papavassiliou
Scalable Community Detection for Complex Data Graphs via Hyperbolic Network Embedding and Graph Databases. IEEE Trans. Netw. Sci. Eng. 8 (2) (2021)
Damianos Chatziantoniou, Verena Kantere
DataMingler: A Novel Approach to Data Virtualization. SIGMOD Conference (2021)
Maria Krommyda, Konstantinos Tsitseklis, Verena Kantere, Vasileios Karyotis, Symeon Papavassiliou
Visualizing and Exploring Big Datasets based on Semantic Community Detection. EDBT (2021)
Amin Kamali, Calisto Zuzarte, Verena Kantere
Emerging applications of machine learning in modern data management. CASCON (2021)
Maria Krommyda, Verena Kantere
Spatial Data Management in IoT Systems: Solutions and Evaluation. Int. J. Semantic Comput. 15 (1) (2021)
Mary Karatzoglidi, Paraskevas Kerasiotis, Verena Kantere
Automated energy consumption forecasting with EnForce. Proc. VLDB Endow. 14 (12) (2021)
Maria Krommyda, Verena Kantere
SPARQL-vision: A Platform for Querying, Visualising and Exploring SPARQL endpoints. CIKM (2021)
Damianos Chatziantoniou, Verena Kantere
Data Virtual Machines: Enabling Data Virtualization. Poly/DMAH@VLDB (2021)
Trung-Dung Le, Verena Kantere, Laurent d'Orazio
Dynamic Estimation and Grid Partitioning Approach for Multi-objective Optimization Problems in Medical Cloud Federations. Trans. Large Scale Data Knowl. Centered Syst. 46 (2020)
Maria Krommyda, Verena Kantere
Visualization Systems for Linked Datasets. ICDE (2020)
Herald Kllapi, Ilia Pietri, Verena Kantere, Yannis E. Ioannidis
Automated Management of Indexes for Dataflow Processing Engines in IaaS Clouds. EDBT (2020)
Maria Krommyda, Verena Kantere
Semantic Analysis for Conversational Datasets: Improving Their Quality Using Semantic Relationships. Int. J. Semantic Comput. 14 (3) (2020)
Damianos Chatziantoniou, Verena Kantere
Data Virtual Machines: Data-Driven Conceptual Modeling of Big Data Infrastructures. EDBT/ICDT Workshops (2020)
Verena Kantere
Processing Big Data Across Infrastructures. BigData Congress (2020)
Maria Krommyda, Verena Kantere, Yannis Vassiliou
Efficient Representation of Very Large Linked Datasets as Graphs. ICEIS (1) (2020)
Maria Krommyda, Verena Kantere, Yannis Vassiliou
Divide and Conquer Technique for Large Linked Datasets. MEDES (2019)
Trung-Dung Le, Verena Kantere, Laurent d'Orazio
Dynamic Estimation for Medical Data Management in a Cloud Federation. EDBT/ICDT Workshops (2019)
Maria Krommyda, Verena Kantere, Yannis Vassiliou
IVLG: Interactive Visualization of Large Graphs. ICDE (2019)
Maria Krommyda, Verena Kantere
Understanding SPARQL Endpoints through Targeted Exploration and Visualization. GC (2019)
Trung-Dung Le, Verena Kantere, Laurent d'Orazio
Optimizing DICOM Data Management with NSGA-G. DOLAP (2019)
Trung-Dung Le, Verena Kantere, Laurent d'Orazio
An efficient multi-objective genetic algorithm for cloud computing: NSGA-G. IEEE BigData (2018)
Maxim Filatov, Verena Kantere
Recalibration of Analytics Workflows. EDBT (2018)
Konstantinos Lolos, Ioannis Konstantinou, Verena Kantere, Nectarios Koziris
Elastic Resource Management with Adaptive State Space Partitioning of Markov Decision Processes. CoRR (2017)
Maxim Filatov, Verena Kantere, Iluju Kiringa
Workflow Optimization in PAW. ICDCS (2017)
Konstantinos Lolos, Ioannis Konstantinou, Verena Kantere, Nectarios Koziris
Elastic management of cloud applications using adaptive reinforcement learning. IEEE BigData (2017)
Konstantinos Lolos, Ioannis Konstantinou, Verena Kantere, Nectarios Koziris
Adaptive State Space Partitioning of Markov Decision Processes for Elastic Resource Management. ICDE (2017)
Konstantinos Lolos, Ioannis Konstantinou, Verena Kantere, Nectarios Koziris
Rethinking reinforcement learning for cloud elasticity. SoCC (2017)
Victor I. Chang, Verena Kantere, Muthu Ramanchadran
Emerging services for Internet of Things. J. Netw. Comput. Appl. 89 (2017)
Maxim Filatov, Verena Kantere
Multi-workflow optimization in PAW. EDBT (2017)
Verena Kantere
Datom Continued: Towards Multi-Objective Optimization of Data Management Entities. IRI (2016)
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)
Verena Kantere
Query Similarity for Approximate Query Answering. DEXA (2) (2016)
Alexandros Kontarinis, Verena Kantere, Nectarios Koziris
Cloud Resource Allocation from the User Perspective: A Bare-Bones Reinforcement Learning Approach. WISE (1) (2016)
Verena Kantere
The New Era of Multi-dimensional Data Management. CLOSER (1) (2016)
Maxim Filatov, Verena Kantere
PAW: A Platform for Analytics Workflows. EDBT (2016)
Chung-Sheng Li, Frederica Darema, Verena Kantere, Victor Chang
Orchestrating the Cognitive Internet of Things. IoTBD (2016)
Verena Kantere, Maxim Filatov
Modelling Processes of Big Data Analytics. WISE (1) (2015)
Verena Kantere, George Orfanoudakis, Anastasios Kementsietsidis, Timos K. Sellis
Query Relaxation across Heterogeneous Data Sources. CIKM (2015)
Verena Kantere, Maxim Filatov
A Framework for Big Data Analytics. C3S2E (2015)
Verena Kantere
Datom: Towards Modular Data Management. IRI (2015)
Ioannis Mytilinis, Dimitrios Tsoumakos, Verena Kantere, Anastassios Nanos, Nectarios Koziris
I/O Performance Modeling for Big Data Applications over Cloud Infrastructures. IC2E (2015)
Verena Kantere
Approximate Queries on Big Heterogeneous Data. BigData Congress (2015)
Verena Kantere, Dimos Bousounis, Timos K. Sellis
Mapping Discovery Over Revealing Schemas. Int. J. Cooperative Inf. Syst. 24 (4) (2015)
Verena Kantere, Maxim Filatov
A Workflow Model for Adaptive Analytics on Big Data. BigData Congress (2015)
Verena Kantere
A Holistic Framework for Big Scientific Data Management. BigData Congress (2014)
Verena Kantere
An Open Market of Cloud Data Services. CLOSER (2014)
Verena Kantere
Mapping Construction Compliant with Schema Semantics. DEXA (2) (2014)
Katerina Stamou, Verena Kantere, Jean-Henry Morin, Antonella Longo, Mario A. Bochicchio
Checkpoints for Service Level Operations. IEEE SCC (2014)
Katerina Stamou, Verena Kantere, Jean-Henry Morin, Michael Georgiou
SLA Information Management through Dependency Digraphs: The Case of Cloud Data Services. HICSS (2014)
Verena Kantere
Datom: Towards modular data management. CoRR (2013)
Ioannis Konstantinou, Verena Kantere, Dimitrios Tsoumakos, Nectarios Koziris
COCCUS: self-configured cost-based query services in the cloud. SIGMOD Conference (2013)
Katerina Stamou, Verena Kantere, Jean-Henry Morin, Michael Georgiou
A SLA graph model for data services. CloudDB@CIKM (2013)
Katerina Stamou, Verena Kantere, Jean-Henry Morin
SLA data management criteria. IEEE BigData (2013)
Verena Kantere
A Framework for Cost-Aware Cloud Data Management. OTM Conferences (1) (2012)
Angelos Vasilakopoulos, Verena Kantere
Efficient Query Computing for Uncertain Possibilistic Databases with Provenance. TaPP (2011)
Verena Kantere, Dimos Bousounis, Timos K. Sellis
GrouPeer: A System for Clustering PDMSs. Proc. VLDB Endow. 4 (12) (2011)
Verena Kantere, Debabrata Dash, Grégory François, Sofia Kyriakopoulou, Anastasia Ailamaki
Optimal Service Pricing for a Cloud Cache. IEEE Trans. Knowl. Data Eng. 23 (9) (2011)
Verena Kantere, Debabrata Dash, Georgios Gratsias, Anastasia Ailamaki
Predicting cost amortization for query services. SIGMOD Conference (2011)
Adrian Daniel Popescu, Debabrata Dash, Verena Kantere, Anastasia Ailamaki
Adaptive query execution for data management in the cloud. CloudDB@CIKM (2010)
Anastasia Ailamaki, Verena Kantere, Debabrata Dash
Managing scientific data. Commun. ACM 53 (6) (2010)
Verena Kantere, Maher Manoubi, Iluju Kiringa, Timos K. Sellis, John Mylopoulos
Peer coordination through distributed triggers. Proc. VLDB Endow. 3 (2) (2010)
Debabrata Dash, Verena Kantere, Anastasia Ailamaki
An Economic Model for Self-Tuned Cloud Caching. ICDE (2009)
Verena Kantere, Spiros Skiadopoulos, Timos K. Sellis
Storing and Indexing Spatial Data in P2P Systems. IEEE Trans. Knowl. Data Eng. 21 (2) (2009)
Dimitrios Skoutas, Dimitris Sacharidis, Alkis Simitsis, Verena Kantere, Timos K. Sellis
dominant web services under multi-criteria matching. EDBT (2009)
Verena Kantere, Dimos Bousounis, Timos K. Sellis
A tool for mapping discovery over revealing schemas. EDBT (2009)
Verena Kantere, Dimitrios Tsoumakos, Timos K. Sellis, Nick Roussopoulos
GrouPeer: Dynamic clustering of P2P databases. Inf. Syst. 34 (1) (2009)
Verena Kantere, Dimitrios Tsoumakos, Timos K. Sellis
A framework for semantic grouping in P2P databases. Inf. Syst. 33 (7-8) (2008)
Verena Kantere, Maria-Eirini Politou, Timos K. Sellis
Conceptual Synopses of Semantics in Social Networks Sharing Structured Data. OTM Conferences (2) (2008)
Verena Kantere, Konstantina Palla, Kostas Patroumpas, Timos K. Sellis
A Simulator for a Mobile Peer-to-Peer Database Environment. MDM (2008)
Dimitrios Skoutas, Dimitris Sacharidis, Verena Kantere, Timos K. Sellis
Efficient Semantic Web Service Discovery in Centralized and P2P Environments. ISWC (2008)
Dimitris Sacharidis, Kostas Patroumpas, Manolis Terrovitis, Verena Kantere, Michalis Potamias, Kyriakos Mouratidis, Timos K. Sellis
On-line discovery of hot motion paths. EDBT (2008)
Dimitrios Skoutas, Verena Kantere, Alkis Simitsis, Timos K. Sellis
Ontology-Based Data Sharing in P2P Databases. SWDB-ODBIS (2007)
Verena Kantere, Timos K. Sellis
Handling spatial data in distributed environments. GIS (2007)
Verena Kantere, Dimitrios Tsoumakos, Timos K. Sellis
Semantic Grouping of Social Networks in P2P Database Settings. DEXA (2007)
Verena Kantere, Timos K. Sellis
A Study for the Parameters of a Distributed Framework That Handles Spatial Areas. SSTD (2007)
Verena Kantere, Iluju Kiringa, John Mylopoulos
Supporting Distributed Event-Condition-Action Rules in a Multidatabase Environment. Int. J. Cooperative Inf. Syst. 16 (3/4) (2007)
Verena Kantere, Timos K. Sellis
Reusing Classical Query Rewriting in P2P Databases. DBISP2P (2006)
Verena Kantere, Iluju Kiringa, QingQing Zhou, John Mylopoulos, Gregory McArthur
Distributed Triggers for Peer Data Management. OTM Conferences (1) (2006)
Dan Zhao, John Mylopoulos, Iluju Kiringa, Verena Kantere
An ECA Rule Rewriting Mechanism for Peer Data Management Systems. EDBT (2006)
Verena Kantere, Timos K. Sellis
Data Exchange Issues in Peer-to-Peer Database Systems. ICEIS (Selected Papers) (2006)
Verena Kantere, Aris Tsois
Using ECA rules to implement mobile query agents for fast-evolving pure P2P database systems. Mobile Data Management (2005)
Verena Kantere, Aris Tsois
Using ECA Rules to Implement Mobile Query Agents for Fast-Evolving Pure P2P Networks. AAMAS (2004)

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Publication Activity (10 Years)

Top Topics

Top Venues

Verena Kantere