A Distributed Rule Mechanism for Multidatabase Systems. - Vasiliki Kantere; John Mylopoulos; Iluju Kiringa (OTM, 2003)

Coordinating Peer Databases Using ECA Rules. - Vasiliki Kantere; Iluju Kiringa; John Mylopoulos; Anastasios Kementsietsidis; Marcelo Arenas (DBISP2P, 2003)

The hyperion project: from data integration to data coordination. - Marcelo Arenas; Vasiliki Kantere; Anastasios Kementsietsidis; Iluju Kiringa; Renée J. Miller; John Mylopoulos (SIGMOD Rec., 2003)

Using ECA Rules to Implement Mobile Query Agents for Fast-Evolving Pure P2P Networks. - Verena Kantere; Aris Tsois (AAMAS, 2004)

Querying structured data in an unstructured P2P system. - Verena Kantere; Dimitrios Tsoumakos; Nick Roussopoulos (WIDM, 2004)

Using ECA rules to implement mobile query agents for fast-evolving pure P2P database systems. - Verena Kantere; Aris Tsois (Mobile Data Management, 2005)

Reusing Classical Query Rewriting in P2P Databases. - Verena Kantere; Timos K. Sellis (DBISP2P, 2006)

An ECA Rule Rewriting Mechanism for Peer Data Management Systems. - Dan Zhao; John Mylopoulos; Iluju Kiringa; Verena Kantere (EDBT, 2006)

Data Exchange Issues in Peer-to-Peer Database Systems. - Verena Kantere; Timos K. Sellis (ICEIS (Selected Papers), 2006)

Distributed Triggers for Peer Data Management. - Verena Kantere; Iluju Kiringa; QingQing Zhou; John Mylopoulos; Gregory McArthur (OTM Conferences (1), 2006)

Semantic Grouping of Social Networks in P2P Database Settings. - Verena Kantere; Dimitrios Tsoumakos; Timos K. Sellis (DEXA, 2007)

Handling spatial data in distributed environments. - Verena Kantere; Timos K. Sellis (GIS, 2007)

Ontology-Based Data Sharing in P2P Databases. - Dimitrios Skoutas 001; Verena Kantere; Alkis Simitsis; Timos K. Sellis (SWDB-ODBIS, 2007)

A Study for the Parameters of a Distributed Framework That Handles Spatial Areas. - Verena Kantere; Timos K. Sellis (SSTD, 2007)

Supporting Distributed Event-Condition-Action Rules in a Multidatabase Environment. - Verena Kantere; Iluju Kiringa; John Mylopoulos (Int. J. Cooperative Inf. Syst., 2007)

On-line discovery of hot motion paths. - Dimitris Sacharidis; Kostas Patroumpas; Manolis Terrovitis; Verena Kantere; Michalis Potamias; Kyriakos Mouratidis; Timos K. Sellis (EDBT, 2008)

A Simulator for a Mobile Peer-to-Peer Database Environment. - Verena Kantere; Konstantina Palla; Kostas Patroumpas; Timos K. Sellis (MDM, 2008)

Conceptual Synopses of Semantics in Social Networks Sharing Structured Data. - Verena Kantere; Maria-Eirini Politou; Timos K. Sellis (OTM Conferences (2), 2008)

Efficient Semantic Web Service Discovery in Centralized and P2P Environments. - Dimitrios Skoutas 001; Dimitris Sacharidis; Verena Kantere; Timos K. Sellis (ISWC, 2008)

A framework for semantic grouping in P2P databases. - Verena Kantere; Dimitrios Tsoumakos; Timos K. Sellis (Inf. Syst., 2008)

A tool for mapping discovery over revealing schemas. - Verena Kantere; Dimos Bousounis; Timos K. Sellis (EDBT, 2009)

Top-k dominant web services under multi-criteria matching. - Dimitrios Skoutas 001; Dimitris Sacharidis; Alkis Simitsis; Verena Kantere; Timos K. Sellis (EDBT, 2009)

An Economic Model for Self-Tuned Cloud Caching. - Debabrata Dash; Verena Kantere; Anastasia Ailamaki (ICDE, 2009)

GrouPeer: Dynamic clustering of P2P databases. - Verena Kantere; Dimitrios Tsoumakos; Timos K. Sellis; Nick Roussopoulos (Inf. Syst., 2009)

Storing and Indexing Spatial Data in P2P Systems. - Verena Kantere; Spiros Skiadopoulos; Timos K. Sellis (IEEE Trans. Knowl. Data Eng., 2009)

Adaptive query execution for data management in the cloud. - Adrian Daniel Popescu; Debabrata Dash; Verena Kantere; Anastasia Ailamaki (CloudDB@CIKM, 2010)

Managing scientific data. - Anastasia Ailamaki; Verena Kantere; Debabrata Dash (Commun. ACM, 2010)

Peer coordination through distributed triggers. - Verena Kantere; Maher Manoubi; Iluju Kiringa; Timos K. Sellis; John Mylopoulos (Proc. VLDB Endow., 2010)

Predicting cost amortization for query services. - Verena Kantere; Debabrata Dash; Georgios Gratsias; Anastasia Ailamaki (SIGMOD Conference, 2011)

Efficient Query Computing for Uncertain Possibilistic Databases with Provenance. - Angelos Vasilakopoulos; Verena Kantere (TaPP, 2011)

GrouPeer: A System for Clustering PDMSs. - Verena Kantere; Dimos Bousounis; Timos K. Sellis (Proc. VLDB Endow., 2011)

Optimal Service Pricing for a Cloud Cache. - Verena Kantere; Debabrata Dash; Grégory François; Sofia Kyriakopoulou; Anastasia Ailamaki (IEEE Trans. Knowl. Data Eng., 2011)

A Framework for Cost-Aware Cloud Data Management. - Verena Kantere (OTM Conferences (1), 2012)

SLA data management criteria. - Katerina Stamou; Verena Kantere; Jean-Henry Morin (IEEE BigData, 2013)

A SLA graph model for data services. - Katerina Stamou; Verena Kantere; Jean-Henry Morin; Michael Georgiou (CloudDB@CIKM, 2013)

COCCUS: self-configured cost-based query services in the cloud. - Ioannis Konstantinou; Verena Kantere; Dimitrios Tsoumakos; Nectarios Koziris (SIGMOD Conference, 2013)

Checkpoints for Service Level Operations. - Katerina Stamou; Verena Kantere; Jean-Henry Morin; Antonella Longo; Mario A. Bochicchio (IEEE SCC, 2014)

A Holistic Framework for Big Scientific Data Management. - Verena Kantere (BigData Congress, 2014)

An Open Market of Cloud Data Services. - Verena Kantere (CLOSER, 2014)

Mapping Construction Compliant with Schema Semantics. - Verena Kantere (DEXA (2), 2014)

SLA Information Management through Dependency Digraphs: The Case of Cloud Data Services. - Katerina Stamou; Verena Kantere; Jean-Henry Morin; Michael Georgiou (HICSS, 2014)

Approximate Queries on Big Heterogeneous Data. - Verena Kantere (BigData Congress, 2015)

A Workflow Model for Adaptive Analytics on Big Data. - Verena Kantere; Maxim Filatov (BigData Congress, 2015)

A Framework for Big Data Analytics. - Verena Kantere; Maxim Filatov (C3S2E, 2015)

Query Relaxation across Heterogeneous Data Sources. - Verena Kantere; George Orfanoudakis; Anastasios Kementsietsidis; Timos K. Sellis (CIKM, 2015)

I/O Performance Modeling for Big Data Applications over Cloud Infrastructures. - Ioannis Mytilinis; Dimitrios Tsoumakos; Verena Kantere; Anastassios Nanos; Nectarios Koziris (IC2E, 2015)

Datom: Towards Modular Data Management. - Verena Kantere (IRI, 2015)

Modelling Processes of Big Data Analytics. - Verena Kantere; Maxim Filatov (WISE (1), 2015)

Mapping Discovery Over Revealing Schemas. - Verena Kantere; Dimos Bousounis; Timos K. Sellis (Int. J. Cooperative Inf. Syst., 2015)

The New Era of Multi-dimensional Data Management. - Verena Kantere (CLOSER (1), 2016)

Query Similarity for Approximate Query Answering. - Verena Kantere (DEXA (2), 2016)

Optimizing, Planning and Executing Analytics Workflows over Multiple Engines. - Katerina Doka; Maxim Filatov; Victor Giannakouris; Verena Kantere; Nectarios Koziris; Christos Mantas; Nikolaos Papailiou; Vassilis Papaioannou; Dimitrios Tsoumakos (EDBT/ICDT Workshops, 2016)

PAW: A Platform for Analytics Workflows. - Maxim Filatov; Verena Kantere (EDBT, 2016)

Orchestrating the Cognitive Internet of Things. - Chung-Sheng Li; Frederica Darema; Verena Kantere; Victor Chang 001 (IoTBD, 2016)

Datom Continued: Towards Multi-Objective Optimization of Data Management Entities. - Verena Kantere (IRI, 2016)

Cloud Resource Allocation from the User Perspective: A Bare-Bones Reinforcement Learning Approach. - Alexandros Kontarinis; Verena Kantere; Nectarios Koziris (WISE (1), 2016)

Elastic management of cloud applications using adaptive reinforcement learning. - Konstantinos Lolos; Ioannis Konstantinou; Verena Kantere; Nectarios Koziris (IEEE BigData, 2017)

Rethinking reinforcement learning for cloud elasticity. - Konstantinos Lolos; Ioannis Konstantinou; Verena Kantere; Nectarios Koziris (SoCC, 2017)

Multi-workflow optimization in PAW. - Maxim Filatov; Verena Kantere (EDBT, 2017)

Workflow Optimization in PAW. - Maxim Filatov; Verena Kantere; Iluju Kiringa (ICDCS, 2017)

Adaptive State Space Partitioning of Markov Decision Processes for Elastic Resource Management. - Konstantinos Lolos; Ioannis Konstantinou; Verena Kantere; Nectarios Koziris (ICDE, 2017)

Elastic Resource Management with Adaptive State Space Partitioning of Markov Decision Processes. - Konstantinos Lolos; Ioannis Konstantinou; Verena Kantere; Nectarios Koziris (CoRR, 2017)

Emerging services for Internet of Things. - Victor I. Chang 001; Verena Kantere; Muthu Ramanchadran (J. Netw. Comput. Appl., 2017)

An efficient multi-objective genetic algorithm for cloud computing: NSGA-G. - Trung-Dung Le; Verena Kantere; Laurent d'Orazio (IEEE BigData, 2018)

Recalibration of Analytics Workflows. - Maxim Filatov; Verena Kantere (EDBT, 2018)

Optimizing DICOM Data Management with NSGA-G. - Trung-Dung Le; Verena Kantere; Laurent d'Orazio (DOLAP, 2019)

Dynamic Estimation for Medical Data Management in a Cloud Federation. - Trung-Dung Le; Verena Kantere; Laurent d'Orazio (EDBT/ICDT Workshops, 2019)

Understanding SPARQL Endpoints through Targeted Exploration and Visualization. - Maria Krommyda; Verena Kantere (GC, 2019)

IVLG: Interactive Visualization of Large Graphs. - Maria Krommyda; Verena Kantere; Yannis Vassiliou (ICDE, 2019)

Divide and Conquer Technique for Large Linked Datasets. - Maria Krommyda; Verena Kantere; Yannis Vassiliou (MEDES, 2019)

Processing Big Data Across Infrastructures. - Verena Kantere (BigData, 2020)

Data Virtual Machines: Data-Driven Conceptual Modeling of Big Data Infrastructures. - Damianos Chatziantoniou; Verena Kantere (EDBT/ICDT Workshops, 2020)

Automated Management of Indexes for Dataflow Processing Engines in IaaS Clouds. - Herald Kllapi; Ilia Pietri; Verena Kantere; Yannis E. Ioannidis (EDBT, 2020)

Visualization Systems for Linked Datasets. - Maria Krommyda; Verena Kantere (ICDE, 2020)

Efficient Representation of Very Large Linked Datasets as Graphs. - Maria Krommyda; Verena Kantere; Yannis Vassiliou (ICEIS (1), 2020)

Semantic Analysis for Conversational Datasets: Improving Their Quality Using Semantic Relationships. - Maria Krommyda; Verena Kantere (Int. J. Semantic Comput., 2020)

Dynamic Estimation and Grid Partitioning Approach for Multi-objective Optimization Problems in Medical Cloud Federations. - Trung-Dung Le; Verena Kantere; Laurent d'Orazio (Trans. Large Scale Data Knowl. Centered Syst., 2020)

Emerging applications of machine learning in modern data management. - Amin Kamali; Calisto Zuzarte; Verena Kantere (CASCON, 2021)

SPARQL-vision: A Platform for Querying, Visualising and Exploring SPARQL endpoints. - Maria Krommyda; Verena Kantere (CIKM, 2021)

A Highly Modular Architecture for Canned Pattern Selection Problem. - Marinos Tzanikos; Maria Krommyda; Verena Kantere (DEXA (2), 2021)

Data Virtual Machines: Enabling Data Virtualization. - Damianos Chatziantoniou; Verena Kantere (Poly/DMAH@VLDB, 2021)

Visualizing and Exploring Big Datasets based on Semantic Community Detection. - Maria Krommyda; Konstantinos Tsitseklis; Verena Kantere; Vasileios Karyotis; Symeon Papavassiliou (EDBT, 2021)

Just-In-Time Modeling with DataMingler. - Damianos Chatziantoniou; Verena Kantere (ER Demos/Posters, 2021)

DataMingler: A Novel Approach to Data Virtualization. - Damianos Chatziantoniou; Verena Kantere (SIGMOD Conference, 2021)

Spatial Data Management in IoT Systems: Solutions and Evaluation. - Maria Krommyda; Verena Kantere (Int. J. Semantic Comput., 2021)

Automated energy consumption forecasting with EnForce. - Mary Karatzoglidi; Paraskevas Kerasiotis; Verena Kantere (Proc. VLDB Endow., 2021)

Scalable Community Detection for Complex Data Graphs via Hyperbolic Network Embedding and Graph Databases. - Konstantinos Tsitseklis; Maria Krommyda; Vasileios Karyotis; Verena Kantere; Symeon Papavassiliou (IEEE Trans. Netw. Sci. Eng., 2021)

Data Virtual Machines: Simplifying Data Sharing, Exploration & Querying in Big Data Environments. - Damianos Chatziantoniou; Verena Kantere; Nikos Antoniou; Angeliki Gantzia (IEEE Big Data, 2022)

ML4DM: The second workshop on the emerging applications of machine learning in modern data management. - Amin Kamali; Jarek Szlichta; Calisto Zuzarte; Yueting Chen; Verena Kantere; Shaikh Quader (CASCON, 2022)

From Cloud to Serverless: MOO in the new Cloud epoch. - Michail Georgoulakis; Laurent d'Orazio; Verena Kantere (EDBT, 2022)

Energy Consumption Evaluation of Optane DC Persistent Memory for Indexing Data Structures. - Manolis Katsaragakis; Christos Baloukas; Lazaros Papadopoulos; Verena Kantere; Francky Catthoor; Dimitrios Soudris (HIPC, 2022)

Multi-objective query optimization in Spark SQL. - Michail Georgoulakis Misegiannis; Vasiliki Kantere; Laurent d'Orazio (IDEAS, 2022)

SIFTER: Space-Efficient Value Iteration for Finite-Horizon MDPs. - Konstantinos Skitsas; Ioannis G. Papageorgiou; Mohammad Sadegh Talebi; Vasiliki Kantere; Michael N. Katehakis; Panagiotis Karras (Proc. VLDB Endow., 2022)

A Hybrid Cost Model for Evaluating Query Execution Plans. - Ning Wang; Amin Kamali; Verena Kantere; Calisto Zuzarte; Vincent Corvinelli; Brandon Frendo; Steve Donoghue (AIKE, 2023)

ML4DM '23: The Third Workshop on the Emerging Applications of Machine Learning in Modern Data Management. - Amin Kamali; Calisto Zuzarte; Verena Kantere; Jaroslaw Szlichta; Yueting Chen; Xiaohui Yu 001; Ning Wang (CASCON, 2023)

Data-driven and On-Demand Conceptual Modeling. - Damianos Chatziantoniou; Verena Kantere (DaWaK, 2023)

Early ICU Mortality Prediction with Deep Federated Learning: A Real-World Scenario. - Athanasios Georgoutsos; Paraskevas Kerasiotis; Verena Kantere (SSDBM, 2023)

Federated Learning Performance on Early ICU Mortality Prediction with Extreme Data Distributions. - Athanasios Georgoutsos; Paraskevas Kerasiotis; Verena Kantere (WISE, 2023)

A novel framework for join order selection based on reinforcement and representation learning. - Chang Liu; Amin Kamali; Verena Kantere; Calisto Zuzarte; Vincent Corvinelli (IEEE Big Data, 2024)

A Novel Technique for Query Plan Representation Based on Graph Neural Nets. - Baoming Chang; Amin Kamali; Verena Kantere (DaWaK, 2024)

Form-Based Semantic Caching on Time Series. - Trung-Dung Le; Verena Kantere; Laurent d'Orazio (ICCSA (1), 2024)

Robust Query Optimization in the Era of Machine Learning: State-of-the-Art and Future Directions. - Amin Kamali; Verena Kantere; Calisto Zuzarte (ICDE, 2024)

RobOpt: A Tool for Robust Workload Optimization Based on Uncertainty-Aware Machine Learning. - Amin Kamali; Verena Kantere; Calisto Zuzarte; Vincent Corvinelli (SIGMOD Conference Companion, 2024)

Roq: Robust Query Optimization Based on a Risk-aware Learned Cost Model. - Amin Kamali; Verena Kantere; Calisto Zuzarte; Vincent Corvinelli (CoRR, 2024)

A Novel Framework Using Deep Reinforcement Learning for Join Order Selection. - Chang Liu; Amin Kamali; Verena Kantere; Calisto Zuzarte; Vincent Corvinelli (CoRR, 2024)

A Model-Based Approach for Simple Construction and Efficient Evaluation of Dataframes. - Konstantina Zouni; Ioanna Moraiti; Sotirios Angelopoulos; Damianos Chatziantoniou; Verena Kantere (DEXA (2), 2025)

Towards the Automated Selection of ML Models for Time-Series Data Forecasting. - Yi Chen; Verena Kantere (ICEIS (1), 2025)

Reqo: A Robust and Explainable Query Optimization Cost Model. - Baoming Chang; Amin Kamali; Verena Kantere (CoRR, 2025)

Robust Plan Evaluation based on Approximate Probabilistic Machine Learning. - Amin Kamali; Verena Kantere; Calisto Zuzarte; Vincent Corvinelli (Proc. VLDB Endow., 2025)