Interactive Extreme-Scale Analytics and Forecasting

Risultati finali

The deliverable defines the architecture of extreme-scale analytics that will be employed in INFORE and lays the foundation of the protocols required in the project. The deliverable will detail the technologies that the INFORE architecture will adopt and the required APIs. Special emphasis will be placed on ensuring the pluggable interconnection of all components.

Dissemination Plan

This deliverable will detail the plan for the project dissemination strategy to be adopted throughout the project lifetime.

Life Sciences Use Case: Final Evaluation Report

Final evaluation report including the results of INFORE prototype on the available data streams

Refined Architecture, Initial System Prototype and Design of Software Stacks

The deliverable presents the refined architecture of INFORE, describes a first functional prototype of the generic architecture and analyses its advantages. It also specifies and designs the software stacks that will be released at the end of this WP.

Ethics Management Plan

This deliverable details ethical issues on INFORE and how these will be addressed, including all ethics issues described in Section 5.1. of part B, in this Description of Action B. Issues regarding humans. It will detail the procedures and criteria that will be used to identify/recruit the expert users. More specifically, information on how the consortium will reach these participants (own network, web announcement, social media, press release...), and detailed information on the informed consent procedures that will be implemented. Moreover, it will include templates of project related information.

Interactive Learning and Complex Event Forecasting Technology V2

The tools and techniques for largescale distributed interactive learning and for complex event forecasting

Maritime Use Case: Initial Requirements and Scenario Definitions

This deliverable contains the initial requirements and the scenario definitions for the maritime use case.

Final System Prototype and Design of Software Stacks

The deliverable describes a final functional prototype of the generic architecture and analyses its advantages It also specifies and designs the software stacks that will be released at the end of this WP

Financial Use Case: Initial Requirements and Scenario Definitions

This deliverable contains the initial financial stakeholders requirements, and scenario definitions for this use-case.

Data Synopses Generator V2

This deliverable provides the final version of the engine for the generation of data synopses from distributed data streams

Life Sciences Use Case: Initial Requirements and Scenario Definitions

Initial description of the cellular model, including training and testing data, set of applicable computational techniques, alternative models of cell signaling and cell cycle and specific HPC implementation.

Financial Use Case: Final Evaluation Report

Final evaluation report including the results of INFORE prototype on the available data streams

Final Interactive Learning and Complex Event Forecasting Technology

The final version of our tools and techniques for largescale distributed interactive learning and for complex event forecasting This is an amended version of Deliverable D64 taking into account the full final user evaluation

Maritime Use Case: Requirements, Scenario Definitions and Initial Evaluation Report

This deliverable contains the final requirements and the scenario definitions for the maritime use case. It also includes the initial evaluation report for the Maritime use case, including the results of INFORE prototype on the available data streams.

Life Sciences Use Case: Requirements, Scenario Definitions and Initial Evaluation Report

Final description of the cellular model, including training and testing data, set of applicable computational techniques, alternative models of cell signaling and cell cycle and specific HPC implementation. The deliverable also contains an initial evaluation report, including the results of INFORE prototype on the available data streams.

Initial Agent-Based Model

Initial description of the agent based model, including internal parameters and HPC implementation.

Amended System Prototype and Design of Software Stacks

This deliverable is an amended version of Deliverable D43 taking into account the final user evaluation Tbe deliverable will also include a link to the code of the INFORE prototype

Quality Assurance Plan

Quality assurance plan, which will in particular highlight potential risks and associated contingency plans.

Final Agent-Based Model

Description of the agent based model including internal parameters and HPC implementation

Operator Cost Estimation, Workflow Optimization and Runtime Adaptation Technology

Our updated algorithms for efficient and accurate estimation of executing operators at different available Big Data and HPC platforms and also for optimizing Big Data workflows over heterogeneous platforms We also describe our tools and techniques for runtime adaptation of the processing workflows

Operator Cost Estimation and Workflow Optimization Technology V1

The initial version of our algorithms for efficient and accurate estimation of executing operators at different available Big Data and HPC platforms, as well as for optimizing Big Data workflows over such heterogeneous platforms.

Interactive Learning and Complex Event Forecasting Technology V1

The initial set of tools and techniques for large-scale, distributed, interactive learning and for complex event forecasting.

Final Operator Cost Estimation, Workflow Optimization and Runtime Adaptation Technology

Our final algorithms for efficient and accurate estimation of executing operators at different available Big Data and HPC platforms for optimizing Big Data workflows over heterogeneous platforms and for runtime adaptation of the processing workflows This deliverable is an amended version of D52 taking into account the full final user evaluation

Financial Use Case: Requirements, Scenario Definitions and Initial Evaluation Report

This deliverable contains the final financial stakeholders requirements, and scenario definitions for this use-case. It also includes the initial evaluation report for the Financial use case, including the results of INFORE prototype on the available data streams.

Data Synopses Generator V1

This deliverable provides the initial version of the engine for the generation of data synopses from distributed data streams.

Maritime Use Case: Final Evaluation Report

Final evaluation report including the results of INFORE prototype on the available maritime data streams

Project workshops

Projectrelated workshops

Data Management Plan V2

This deliverable includes the second version of the data management plan.

Data Management Plan V3

This deliverable includes the final data management plan

Data Management Plan V1

This deliverable includes the first version of the data management plan.

Project Presentation and Web Site

This deliverable contains a fact sheet providing an overview of the project, following the EC standards and template, the project presentation and the project website to comprise the main dissemination and exploitation channel for promoting and communicating the project and relevant activities and achievements.

Pubblicazioni

Patient-specific Boolean models of signalling networks guide personalised treatments

Autori: Montagud, Arnau; Béal, Jonas; Tobalina, Luis; Traynard, Pauline; Subramanian, Vigneshwari; Valencia, Alfonso
Pubblicato in: Computational and Systems Biology, Numero 11, 2022, Pagina/e e72626, ISSN 2050-084X
Editore: eLife Sciences Publications
DOI: 10.7554/elife.72626.sa0

COVID-19 Flow-Maps an open geographic information system on COVID-19 and human mobility for Spain.

Autori: Miguel Ponce-de-Leon; Javier del Valle; José M. Fernández; Marc Bernardo; Davide Cirillo; Jon Sánchez-Valle; Matthew Smith; Salvador Capella-Gutierrez; Tania Gullón; Alfonso Valencia
Pubblicato in: Scientific Data, Numero 8, 2021, ISSN 2052-4463
Editore: Springer Nature
DOI: 10.1038/s41597-021-01093-5

Structural analysis of SARS-CoV-2 and prediction of the human interactome

Autori: Andrea Vandelli; Andrea Vandelli; Michele Monti; Michele Monti; Edoardo Milanetti; Edoardo Milanetti; Alexandros Armaos; Alexandros Armaos; Jakob Rupert; Jakob Rupert; Elsa Zacco; Elias Bechara; Elias Bechara; Riccardo Delli Ponti; Gian Gaetano Tartaglia
Pubblicato in: Nucleic Acids Research, Numero 10, 2020, ISSN 0305-1048
Editore: Oxford University Press
DOI: 10.1101/2020.03.28.013789

CROSSalive: a web server for predicting the in vivo structure of RNA molecules

Autori: Riccardo Delli Ponti; Alexandros Armaos; Andrea Vandelli; Gian Gaetano Tartaglia
Pubblicato in: Bioinformatics, Numero 36, 2020, Pagina/e 940–941, ISSN 1367-4803
Editore: Oxford University Press
DOI: 10.1093/bioinformatics/btz666

Complex event forecasting with prediction suffix trees

Autori: Elias Alevizos; Elias Alevizos; Alexander Artikis; Alexander Artikis; Georgios Paliouras
Pubblicato in: The VLDB ournal, Numero 31, 2022, Pagina/e 157-180, ISSN 1066-8888
Editore: Springer Verlag
DOI: 10.1007/s00778-021-00698-x

RNA-binding and prion domains: the Yin and Yang of phase separation.

Autori: Nieves Lorenzo Gotor; Alexandros Armaos; Alexandros Armaos; Giulia Calloni; Marc Torrent Burgas; R. Martin Vabulas; R. Martin Vabulas; Natalia Sanchez de Groot; Gian Gaetano Tartaglia
Pubblicato in: Nucleic Acids Research, Numero 11, 2020, ISSN 0305-1048
Editore: Oxford University Press
DOI: 10.1093/nar/gkaa681

Patient-specific Boolean models of signalling networks guide personalised treatments

Autori: Arnau Montagud; Jonas Béal; Luis Tobalina; Pauline Traynard; Vigneshwari Subramanian; Bence Szalai; Róbert Alföldi; László Puskás; Alfonso Valencia; Emmanuel Barillot; Julio Saez-Rodriguez; Laurence Calzone
Pubblicato in: eLife, 2022, ISSN 2050-084X
Editore: eLife Sciences Publications
DOI: 10.7554/eLife.72626

Artificial Intelligence-Aided Precision Medicine for COVID-19: Strategic Areas of Research and Development.

Autori: Enrico Santus; Nicola Marino; Davide Cirillo; Emmanuele Chersoni; Arnau Montagud; Antonella Santuccione Chadha; Alfonso Valencia; Kevin S. Hughes; Charlotta Lindvall
Pubblicato in: Journal of Medical Internet Research, Numero 3, 2021, ISSN 1438-8871
Editore: Journal of medical Internet Research
DOI: 10.2196/22453

Long non-coding RNA-polycomb intimate rendezvous.

Autori: Andrea Cerase; Gian Gaetano Tartaglia
Pubblicato in: Open Biology, Numero 10, 2020, ISSN 2046-2441
Editore: Royal Society Publishing
DOI: 10.1098/rsob.200126

Systems Biology at the giga-scale: large multi-scale models of complex, heterogeneous multicellular systems

Autori: Arnau Montagud; Miguel Ponce-de-Leon; Alfonso Valencia; Alfonso Valencia
Pubblicato in: Current Opinion in Systems Biology, Numero 28, 2021, ISSN 2452-3100
Editore: Elsevier
DOI: 10.1016/j.coisb.2021.100385

short summary from Long non-coding RNA-Polycomb intimate rendezvous

Autori: Cerase, Andrea; Tartaglia, Gian Gaetano
Pubblicato in: Open Biology, 2020, ISSN 2046-2441
Editore: Royal Society Publishing
DOI: 10.6084/m9.figshare.12916528.v1

Network-wide complex event processing over geographically distributed data sources

Autori: Ioannis Flouris, Nikos Giatrakos, Antonios Deligiannakis, Minos Garofalakis
Pubblicato in: Information Systems, Numero 88, 2020, Pagina/e 101442, ISSN 0306-4379
Editore: Elsevier Science & Technology
DOI: 10.1016/j.is.2019.101442

On the inconsistent treatment of gene-protein-reaction rules in context-specific metabolic models

Autori: Miguel Ponce-de-León, Iñigo Apaolaza, Alfonso Valencia, Francisco J Planes
Pubblicato in: Bioinformatics, Numero 36/6, 2019, Pagina/e 1986-1988, ISSN 1367-4803
Editore: Oxford University Press
DOI: 10.1093/bioinformatics/btz832

Complex event recognition in the Big Data era: a survey

Autori: Nikos Giatrakos, Elias Alevizos, Alexander Artikis, Antonios Deligiannakis, Minos Garofalakis
Pubblicato in: The VLDB Journal, Numero 29/1, 2020, Pagina/e 313-352, ISSN 1066-8888
Editore: Springer Verlag
DOI: 10.1007/s00778-019-00557-w

Interactive Extreme-Scale Analytics: Towards Battling Cancer

Autori: Nikos Giatrakos, Miguel Ponce De Leon, Gian Gaetano Tartaglia, Alfonso Valencia, Dimitrios Zissis, Nikos Katzouris, Antonios Deligiannakis, Alexander Artikis, Minos Garofalakis, George Paliouras, Holger Arndt, Raffaele Grasso, Ralf Klinkenberg
Pubblicato in: IEEE Technology and Society Magazine, Numero 38/2, 2019, Pagina/e 54-61, ISSN 0278-0097
Editore: Institute of Electrical and Electronics Engineers
DOI: 10.1109/MTS.2019.2913071

A probabilistic interval-based event calculus for activity recognition

Autori: Artikis, Alexander; Makris, Evangelos; Paliouras, Georgios
Pubblicato in: Annals of Mathematics and Artificial Intelligence, Numero 89, 2021, Pagina/e 29-52, ISSN 1012-2443
Editore: Kluwer Academic Publishers
DOI: 10.1007/s10472-019-09664-4

The Interplay Between Disordered Regions in RNAs and Proteins Modulates Interactions Within Stress Granules and Processing Bodies.

Autori: Andrea Vandelli; Fernando Cid Samper; Marc Torrent Burgas; Natalia Sanchez de Groot; Gian Gaetano Tartaglia
Pubblicato in: Journal of Molecular Biology, Numero 167159, 2022, ISSN 0022-2836
Editore: Academic Press
DOI: 10.1016/j.jmb.2021.167159

COVID19 Disease Map, a computational knowledge repository of virus-host interaction mechanisms.

Autori: Marek Ostaszewski; Anna Niarakis; Anna Niarakis; Alexander Mazein; Inna Kuperstein; Inna Kuperstein; Robert Phair; Aurelio Orta-Resendiz; Vidisha Singh; Sara Sadat Aghamiri; Marcio Luis Acencio; Enrico Glaab; Andreas Ruepp; Gisela Fobo; Corinna Montrone; Barbara Brauner; Goar Frishman; Luis Cristobal Monraz Gomez; Luis Cristobal Monraz Gomez; Julia Somers; Matti Hoch; Shailendra K. Gupta; Julia Sc
Pubblicato in: "Molecular Systems Biology, EMBO Press, 2021, 17 (10), pp.e10387. ⟨10.15252/msb.202110387⟩", Numero 4, 2021, ISSN 1744-4292
Editore: Nature Publishing Group
DOI: 10.15252/msb.202110851

Optimizing Dosage-Specific Treatments in a Multi-Scale Model of a Tumor Growth

Autori: Ponce-de-Leon, Miguel; Montagud, Arnau; Akasiadis, Charilaos; Schreiber, Janina; Ntiniakou, Thaleia; Valencia, Alfonso
Pubblicato in: Frontiers in Moleculat Biosciences, Numero 06 April 2022, 2022, ISSN 2296-889X
Editore: Frontiers Media S.A.
DOI: 10.3389/fmolb.2022.836794

Composite Event Recognition for Maritime Monitoring

Autori: Manolis Pitsikalis, Alexander Artikis, Richard Dreo, Cyril Ray, Elena Camossi, Anne-Laure Jousselme
Pubblicato in: Proceedings of the 13th ACM International Conference on Distributed and Event-based Systems, 2019, Pagina/e 163-174, ISBN 9781450367943
Editore: ACM
DOI: 10.1145/3328905.3329762

An ontology for Maritime Situational Awareness Heterogeneous Sensor Networks

Autori: Camossi, Elena
Pubblicato in: ISWC (Demos/Industry), Numero 2721, 2020
Editore: http://ceur-ws.org/
DOI: 10.5281/zenodo.4692487

Real-time big data stream analytics and complex event detection: modular visual framework, data science platform, and industry applications

Autori: Ralf Klinkenberg
Pubblicato in: DEBS, Numero 28 June 2021, 2021
Editore: ACM
DOI: 10.1145/3465480.3468676

WOLED: A tool for Online Learning Weighted Answer Set Rules for Temporal Reasoning Under Uncertainty

Autori: Nikos Katzouris; Alexander Artikis
Pubblicato in: KR, Numero 1, 2020, Pagina/e 790–799, ISBN 978-0-9992411-7-2
Editore: IJCAI Organization
DOI: 10.5281/zenodo.3929476

Stream Reasoning with Cycles

Autori: Mantenoglou, Periklis; Pitsikalis, Manolis; Artikis, Alexander
Pubblicato in: KR, Numero 1, 2022
Editore: https://kr.org/
DOI: 10.5281/zenodo.6538785

INforE: Interactive Cross-platform Analytics for Everyone

Autori: Nikos Giatrakos, David Arnu, Theodoros Bitsakis, Antonios Deligiannakis, Minos Garofalakis, Ralf Klinkenberg, Aris Konidaris, Antonis Kontaxakis, Yannis Kotidis, Vasilis Samoladas, Alkis Simitsis, George Stamatakis, Fabian Temme, Mate Torok, Edwin Yaqub, Arnau Montagud, Miguel Ponce de León, Holger Arndt, Stefan Burkard
Pubblicato in: CIKM, Numero 19 October 2020, 2020
Editore: ACM
DOI: 10.1145/3340531.3417435

Classification of vessel activity in streaming data

Autori: Ioannis Kontopoulos; Konstantinos Chatzikokolakis; Konstantinos Tserpes; Dimitris Zissis
Pubblicato in: DEBS, Numero 15 July 2020, 2020
Editore: ACM
DOI: 10.1145/3401025.3401763

A Synopses Data Engine for Interactive Extreme-Scale Analytics

Autori: Antonis Kontaxakis; Nikos Giatrakos; Antonios Deligiannakis
Pubblicato in: CIKM, Numero 19 October 2020, 2020
Editore: ACM
DOI: 10.1145/3340531.3412154

Real-time processing of geo-distributed financial data

Autori: Antonios Kontaxakis; Antonios Deligiannakis; Holger Arndt; Stefan Burkard; Claus-Peter Kettner; Elke Pelikan; Kathleen Noack
Pubblicato in: DEBS, Numero 28 June 2021, 2021
Editore: ACM
DOI: 10.1145/3465480.3467842

Experimental Comparison of Complex Event Processing Systems in the Maritime Domain

Autori: Alexandros Troupiotis-Kapeliaris; Konstantinos Chatzikokolakis; Dimitris Zissis; Elias Alevizos
Pubblicato in: MDM, Numero 30 June-3 July 2020, 2020
Editore: IEEE
DOI: 10.5281/zenodo.3886343

Big Event Data Analytics for Everyone

Autori: Nikos Giatrakos; Eleni Kougioumtzi; Antonios Kontaxakis; Antonios Deligiannakis; Yannis Kotidis
Pubblicato in: CIKM, Numero 17, 2021
Editore: ACM
DOI: 10.1145/3459637.3482094

Automatic Maritime Object Detection Using Satellite imagery

Autori: Konstantina Bereta; Dimitris Zissis; Raffaele Grasso
Pubblicato in: IEEE Oceans, Numero 5-30 Oct. 2020, 2020
Editore: IEEE
DOI: 10.5281/zenodo.4074826

Incremental Event Calculus for Run-Time Reasoning

Autori: Efthimis Tsilionis, Alexander Artikis, Georgios Paliouras
Pubblicato in: Proceedings of the 13th ACM International Conference on Distributed and Event-based Systems, 2019, Pagina/e 79-90, ISBN 9781450367943
Editore: ACM
DOI: 10.1145/3328905.3329504

Online Probabilistic Interval-based Event Calculus

Autori: Mantenoglou, Periklis; Artikis, Alexander; Paliouras, Georgios
Pubblicato in: 24th European Conference on Artificial Intelligence (ECAI), Numero 1, 2020
Editore: IOS Press
DOI: 10.5281/zenodo.3826462

Functional Geometric Monitoring for Distributed Streams

Autori: Vasilis Samoladas; Minos Garofalakis
Pubblicato in: 22nd International Conference on Extending Database Technology (EDBT), 2019
Editore: OpenProceedings.org
DOI: 10.5281/zenodo.2579106

Experimental Comparison of Complex Event Processing Systems in the Maritime Domain

Autori: Troupiotis-Kapeliaris, Alexandros; Chatzikokolakis, Konstantinos; Zissis, Dimitris; Alevizos, Elias
Pubblicato in: MBDW 2020: 2nd Maritime Big Data Workshop, Numero 2, 2020
Editore: IEEE Computer Society
DOI: 10.5281/zenodo.3886344

Uncertainty-Aware Event Analytics over Distributed Settings

Autori: Nikos Giatrakos, Alexander Artikis, Antonios Deligiannakis, Minos Garofalakis
Pubblicato in: Proceedings of the 13th ACM International Conference on Distributed and Event-based Systems, 2019, Pagina/e 175-186, ISBN 9781450367943
Editore: ACM
DOI: 10.1145/3328905.3329763

Optimizing Vessel Trajectory Compression

Autori: Fikioris, Giannis; Patroumpas, Kostas; Artikis, Alexander
Pubblicato in: 2nd Maritime Big Data Workshop (MBDW 2020), Numero 1, 2020
Editore: IEEE Computer Society
DOI: 10.5281/zenodo.3886336

WOLED: A Tool for Online Learning Weighted Answer Set Rules for Temporal Reasoning Under Uncertainty

Autori: Katzouris, Nikos; Artikis, Alexander
Pubblicato in: 17th International Conference on Principles of Knowledge Representation and Reasoning, 2020
Editore: IJCAI Inc.
DOI: 10.5281/zenodo.3929477

Vessel Detection using Image Processing and Neural Networks

Autori: Konstantina Bereta; Raffaele Grasso; Dimitris Zissis
Pubblicato in: IGARSS, Numero 1, 2020, Pagina/e 2276-2279, ISBN 978-1-7281-6374-1
Editore: IEEE
DOI: 10.5281/zenodo.4074814

Fine-Tuned Compressed Representations of Vessel Trajectories

Autori: Fikioris, Giannis; Patroumpas, Kostas; Artikis, Alexander; Paliouras, Georgios; Pitsikalis, Manolis
Pubblicato in: Numero 1, 2020
Editore: ACM
DOI: 10.5281/zenodo.3999130

SheerMP: Optimized Streaming Analytics-as-a-Service over Multi-site Multi-platform Settings

Autori: George Stamatakis, Antonios Kontaxakis, Alkis Simitsis, Nikos Giatrakos, Antonios Deligiannakis
Pubblicato in: EDBT, 2022
Editore: openproceedings.org
DOI: 10.48786/edbt.2022.50

Semantic-driven modelling of context and entity of interest profiles for maritime situation awareness

Autori: CAMOSSI, Elena; de ROSA, Francesca
Pubblicato in: JOWO, Numero 2708, 2020
Editore: http://ceur-ws.org
DOI: 10.5281/zenodo.4692497

D3.1 Maritime Use Case: Initial Requirements and Scenario Definitions

Autori: Project consortium members
Pubblicato in: Numero 3, 2019
Editore: INFORE Project
DOI: 10.5281/zenodo.4034077

D1.3 Life Sciences Use Case: Requirements, Scenario Definitions and Initial Evaluation Report

Autori: Project Consortium Members
Pubblicato in: Numero 3, 2020
Editore: INFORE Project
DOI: 10.5281/zenodo.4034037

D2.2 Financial Use Case: Requirements, Scenario Definitions and Initial Evaluation Report

Autori: Project Consortium Members
Pubblicato in: Numero 1, 2020, Pagina/e 1-62
Editore: INFORE Project
DOI: 10.5281/zenodo.4034063

D2.1 Financial Use Case: Initial Requirements and Scenario Definitions

Autori: Project consortium members
Pubblicato in: Numero 4, 2019
Editore: INFORE Project
DOI: 10.5281/zenodo.4034056

D1.1 Life Sciences Use Case: Initial Requirements and Scenario Definitions

Autori: Project Consortium Members
Pubblicato in: Numero 2, 2019
Editore: INFORE Project
DOI: 10.5281/zenodo.4034013

D6.1 Data Synopses Generator V1

Autori: Project consortium members
Pubblicato in: Numero 6, 2019
Editore: INFORE Project
DOI: 10.5281/zenodo.4034116

D8.3 Data Management Plan V1

Autori: Project consortium members
Pubblicato in: Numero 6, 2019
Editore: INFORE Project
DOI: 10.5281/zenodo.4034148

PhysiBoSS-COVID: the Boolean modelling of COVID-19 signalling pathways in a multicellular simulation framework allows for the uncovering of mechanistic insights

Autori: Noël, Vincent; Carbonell, Jose; Ponce de Leon, Miguel; Soliman, Sylvain; Niarakis, Anna; Calzone, Laurence; Barillot, Emmanuel; Valencia, Alfonso; Montagud, Arnau
Pubblicato in: Disease Map Community Meeting 2020, Numero 5, 2020
Editore: https://disease-maps.org/
DOI: 10.5281/zenodo.4266718

D4.1 Definition of Architecture for Extreme-Scale Analytics

Autori: Project Consortium Members
Pubblicato in: Numero 1, 2019, Pagina/e 1-38
Editore: INFORE Project
DOI: 10.5281/zenodo.4034092

D3.2 Maritime Use Case: Initial Evaluation and Validation Report

Autori: Project consortium members
Pubblicato in: Numero 1, 2020, Pagina/e 1-75
Editore: INFORE Project
DOI: 10.5281/zenodo.4034087

D7.1 Project Presentation and Web Site

Autori: Project Consortium Members
Pubblicato in: Numero 6, 2021
Editore: INFORE Project
DOI: 10.5281/zenodo.4034129

Parallel model exploration for tumor treatment simulations

Autori: Akasiadis, Charilaos; Ponce-de-Leon, Miguel; Montagud, Arnau; Michelioudakis, Evangelos; Atsidakou, Alexia; Alevizos, Elias; Artikis, Alexander; Valencia, Alfonso; Paliouras, Georgios
Pubblicato in: Numero 3, 2021
Editore: arXiV

Reproducing SARS-CoV-2 epidemics by region-specific variables and modeling contact tracing App containment

Autori: Alberto Ferrari; Enrico Santus; Davide Cirillo; Miguel Ponce-de-Leon; Nicola Marino; Maria Teresa Ferretti; Antonella Santuccione Chadha; Nikolaos Mavridis; Alfonso Valencia
Pubblicato in: Numero 1, 2020
Editore: medRxiv
DOI: 10.1101/2020.05.14.20101675

A Synopses Data Engine for Interactive Extreme-Scale Analytics

Autori: Antonis Kontaxakis; Nikos Giatrakos; Antonios Deligiannakis
Pubblicato in: Numero 2, 2020
Editore: arXiv.org
DOI: 10.5281/zenodo.3849978

Composite Event Recognition for Maritime Monitoring

Autori: Pitsikalis, Manolis; Artikis, Alexander; Dreo, Richard; Ray, Cyril; Camossi, Elena; Jousselme, Anne-Laure
Pubblicato in: Numero 2, 2019
Editore: arXiv.org

D6.2 Interactive Learning and Complex Event Forecasting

Autori: Project consortium members
Pubblicato in: Numero 3, 2020
Editore: INFORE Project
DOI: 10.5281/zenodo.4249006

D4.2 Refined Architecture, Initial System Prototype and Design of Software Stacks

Autori: Project consortium members
Pubblicato in: Numero 4, 2020
Editore: INFORE Project
DOI: 10.5281/zenodo.4034099

D8.1 Ethics Management Plan

Autori: Project Consortium Members
Pubblicato in: Numero 8, 2019
Editore: INFORE Project
DOI: 10.5281/zenodo.4034141

D5.1 Operator Cost Estimation and Workflow Optimisation Technology V1

Autori: Project Consortium Members
Pubblicato in: Numero 5, 2020
Editore: INFORE Project
DOI: 10.5281/zenodo.4034109

D1.2 Initial Agent-Based Model

Autori: Project Consortium Members
Pubblicato in: Numero 2, 2020, Pagina/e 1-34
Editore: INFORE Project
DOI: 10.5281/zenodo.4034023

D7.2 Dissemination Plan

Autori: Project consortium members
Pubblicato in: Numero 2, 2019, Pagina/e 1-25
Editore: INFORE Project
DOI: 10.5281/zenodo.4034136

D8.4 Data Management Plan V2

Autori: Project Consortium Members
Pubblicato in: Numero 6, 2020
Editore: INFORE Project
DOI: 10.5281/zenodo.4034151

D8.2 Quality Assurance Plan

Autori: Project Consortium Members
Pubblicato in: Numero 3, 2019
Editore: INFORE Project
DOI: 10.5281/zenodo.4034145

Processing Big Data in Motion: Core Components and System Architectures with Applications to the Maritime Domain

Autori: Giatrakos, Nikos; Deligiannakis, Antonios; Bereta, Konstantina; Vodas, Marios; Zissis, Dimitris; Alevizos, Elias; Akasiadis, Charilaos; Artikis, Alexander
Pubblicato in: Technologies and Applications for Big Data Value, Numero 01 July 2021, 2022, Pagina/e 497-518, ISBN 978-3-030-78307-5
Editore: Springer, Cham
DOI: 10.1007/978-3-030-78307-5_22

BioFVM-X: an MPI+OpenMP 3-D simulator for biological systems

Autori: Gaurav Saxena; Miguel Ponce de Leon; Arnau Montagud; David Vicente Dorca; Alfonso Valencia; Alfonso Valencia
Pubblicato in: CMSB, Numero 12881, 2021, ISBN 978-3-030-85633-5
Editore: Springer, Cham
DOI: 10.1007/978-3-030-85633-5_18

Design and implementation of a distributed synopsis data engine on Apache Flink

Autori: Antonis Kontaxakis
Pubblicato in: Numero 3, 2020
Editore: Institutional Repository, Technical University of Crete
DOI: 10.26233/heallink.tuc.85602

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