Pavlos Kranas

According to our database, Pavlos Kranas authored at least 17 papers between 2012 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Advanced Data Processing of Pancreatic Cancer Data Integrating Ontologies and Machine Learning Techniques to Create Holistic Health Records.

George Manias, Ainhoa Azqueta-Alzúaz, Athanasios Dalianis, Jacob Griffiths, Maritini Kalogerini, Konstantina Kostopoulou, Eleftheria Kouremenou, Pavlos Kranas, Sofoklis A. Kyriazakos, Danae Lekka, Fabio Melillo, Marta Patiño-Martínez, Oscar García Perales, Aristodemos Pnevmatikakis, Salvador Garcia Torrens, Usman Wajid, Dimosthenis Kyriazis

Sensors, March, 2024

2023

FAME: Federated Decentralized Trusted Data Marketplace for Embedded Finance.

Argyro Mavrogiorgou, Athanasios Kiourtis, Georgios Makridis, Dimitrios Kotios, Vasileios Koukos, Dimosthenis Kyriazis, John Soldatos, Georgios Fatouros, Dimitrios Drakoulis, Pedro Maló, Martin Serrano, Mauro Isaja, Raquel Lazcano, Juan Manuel Vera, Fabiana Fournier, Lior Limonad, Konstantinos Perakis, Dimitrios Miltiadou, Pavlos Kranas, Alper Sen, Irene Zattarin, Ernesto Troiano

Proceedings of the International Conference on Smart Applications, 2023

MobiSpaces: An Architecture for Energy-Efficient Data Spaces for Mobility Data.

Christos Doulkeridis, Georgios M. Santipantakis, Nikolaos Koutroumanis, George Makridis, Vasilis Koukos, George S. Theodoropoulos, Yannis Theodoridis, Dimosthenis Kyriazis, Pavlos Kranas, Diego Burgos, Ricardo Jiménez-Peris, Mariana M. G. Duarte, Mahmoud Attia Sakr, Esteban Zimányi, Anita Graser, Clemens Heistracher, Kristian Torp, Ioannis Chrysakis, Theofanis Orphanoudakis, Evgenia Kapassa, Marios Touloupou, Jürgen Neises, Petros Petrou, Sophia Karagiorgou, Rosario Catelli, Domenico Messina, Marcelo Corrales Compagnucci, Matteo Falsetta

Proceedings of the IEEE International Conference on Big Data, 2023

2022

PolicyCLOUD: A prototype of a Cloud Serverless Ecosystem for Policy Analytics.

Ofer Biran, Oshrit Feder, Yosef Moatti, Athanasios Kiourtis, Dimosthenis Kyriazis, George Manias, Argyro Mavrogiorgou, Nikitas M. Sgouros, Martim Taborda Barata, Isabella Oldani, María Angeles Sanguino, Pavlos Kranas

CoRR, 2022

2021

Motor Consultas Analíticas Políglota.

Pavlos Kranas

PhD thesis, 2021

Parallel query processing in a polystore.

Pavlos Kranas, Boyan Kolev, Oleksandra Levchenko, Esther Pacitti, Patrick Valduriez, Ricardo Jiménez-Peris, Marta Patiño-Martínez

Distributed Parallel Databases, 2021

iHELP: Personalised Health Monitoring and Decision Support Based on Artificial Intelligence and Holistic Health Records.

George Manias, Harm op den Akker, Ainhoa Azqueta-Alzúaz, Diego Burgos-Sancho, Nikola Dino Capocchiano, Borja Llobell Crespo, Athanasios Dalianis, Andrea Damiani, Krasimir Filipov, Giorgos Giotis, Maritini Kalogerini, Rostislav Kostadinov, Pavlos Kranas, Dimosthenis Kyriazis, Artitaya Lophatananon, Shwetambara Malwade, George Marinos, Fabio Melillo, Vicent Moncho Mas, Kenneth Muir, Marzena Nieroda, Antonio De Nigro, Claudia Pandolfo, Marta Patiño-Martínez, Florin Picioroaga, Aristodemos Pnevmatikakis, Shabbir Syed-Abdul, Tanja Tomson, Dilyana Vicheva, Usman Wajid

Proceedings of the IEEE Symposium on Computers and Communications, 2021

2020

Converging HPC, Big Data and Cloud Technologies for Precision Agriculture Data Analytics on Supercomputers.

Yiannis Georgiou, Naweiluo Zhou, Li Zhong, Dennis Hoppe, Marcin Pospieszny, Nikela Papadopoulou, Kostis Nikas, Orestis Lagkas Nikolos, Pavlos Kranas, Sophia Karagiorgou, Eric Pascolo, Michael Mercier, Pedro Velho

Proceedings of the High Performance Computing, 2020

PolicyCLOUD: Analytics as a Service Facilitating Efficient Data-Driven Public Policy Management.

Dimosthenis Kyriazis, Ofer Biran, Thanassis Bouras, Klaus Brisch, Armend Duzha, Rafael del Hoyo, Athanasios Kiourtis, Pavlos Kranas, Ilias Maglogiannis, George Manias, Marc Meerkamp, Konstantinos Moutselos, Argyro Mavrogiorgou, Panayiotis Michael, Ricard Munné, Giuseppe La Rocca, Kostas Nasias, Tomás Pariente Lobo, Vega Rodrigálvarez, Nikitas M. Sgouros, Konstantinos Theodosiou, Panayiotis Tsanakas

Proceedings of the Artificial Intelligence Applications and Innovations, 2020

2019

CrowdHEALTH: Big Data Analytics and Holistic Health Records.

Parisis Gallos, Santiago Aso, Serge Autexier, Arturo Brotons, Antonio De Nigro, Gregor Jurak, Athanasios Kiourtis, Pavlos Kranas, Dimosthenis Kyriazis, Mitja Lustrek, Andrianna Magdalinou, Ilias Maglogiannis, John Mantas, Antonio Martinez, Andreas Menychtas, Lydia Montandon, Florin Picioroaga, Manuel Perez, Dalibor Stanimirovic, Gregor Starc, Tanja Tomson, Ruth Vilar-Mateo, Ana-Maria Vizitiu

Proceedings of the ICT for Health Science Research - Proceedings of the EFMI 2019 Special Topic Conference, 2019

Parallel Efficient Data Loading.

Ricardo Jiménez-Peris, Francisco J. Ballesteros, Ainhoa Azqueta-Alzúaz, Pavlos Kranas, Diego Burgos, Patricio Martínez

Proceedings of the 8th International Conference on Data Science, 2019

NUMA-aware Deployments for LeanXcale Database Appliance.

Ricardo Jiménez-Peris, Francisco J. Ballesteros, Pavlos Kranas, Diego Burgos, Patricio Martínez

Proceedings of the 9th International Conference on Cloud Computing and Services Science, 2019

2018

Parallel Polyglot Query Processing on Heterogeneous Cloud Data Stores with LeanXcale.

Boyan Kolev, Oleksandra Levchenko, Esther Pacitti, Patrick Valduriez, Ricardo Vilaça, Rui C. Gonçalves, Ricardo Jiménez-Peris, Pavlos Kranas

Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

BigDataStack: A Holistic Data-Driven Stack for Big Data Applications and Operations.

Dimosthenis Kyriazis, Christos Doulkeridis, Panagiotis Gouvas, Ricardo Jiménez-Peris, Ana Juan Ferrer, Leonidas Kallipolitis, Pavlos Kranas, George Kousiouris, Craig Macdonald, Richard McCreadie, Yosef Moatti, Apostolos Papageorgiou, Marta Patiño-Martínez, Stathis Plitsos, Dimitrios Poulopoulos, Antonio Paradell, Amaryllis Raouzaiou, Paula Ta-Shma, Valerio Vianello

Proceedings of the 2018 IEEE International Congress on Big Data, 2018

2016

Scalable and Efficient Big Data Analytics - The LeanBigData Approach.

Ricardo Jimenez, Marta Patiño, Valerio Vianello, Ivan Brondino, Ricardo Vilaça, Jorge Teixeira, Miguel Biscaia, Giannis Drossis, Damien Michel, Chryssi Birliraki, George Margetis, Antonis A. Argyros, Constantine Stephanidis, Luigi Sgaglione, Gaetano Papale, Giavanni Mazzeo, Ferdinando Campanile, Marc Solé, Victor Muntés-Mulero, David Solans, Alberto Huélamo, Pavlos Kranas, Dora Varvarigou, Vrettos Moulos, Fotis Aisopos

Proceedings of the European Space project on Smart Systems, Big Data, Future Internet, 2016

CoherentPaaS - A Coherent and Rich PaaS with a Common Programming Model.

Ricardo Jimenez, Marta Patiño, Ivan Brondino, Valerio Vianello, Ricardo Vilaça, Boyan Kolev, Patrick Valduriez, Raquel Pau, Apostolos Hatzimanikatis, Vassilis Spitadakis, Dimitris Bouras, Yorgos Panagiotakis, Giorgos Saloustros, Anastasios Papagiannis, Pilar González-Férez, Angelos Bilas, Ying Zhang, Pavlos Kranas, Sotiris Stamokostas, Vrettos Moulos, Fotis Aisopos, Francois Sabary, Luis Cortesao, Diogo Domingues Regateiro, José Pereira, Rui Oliveira

Proceedings of the European Space project on Smart Systems, Big Data, Future Internet, 2016

2012

ElaaS: An Innovative Elasticity as a Service Framework for Dynamic Management across the Cloud Stack Layers.

Pavlos Kranas, Vasilios Anagnostopoulos, Andreas Menychtas, Theodora A. Varvarigou

Proceedings of the Sixth International Conference on Complex, 2012