Patrick Valduriez

ORCID

Publication Activity (10 Years)

Years Active: 1982-2024
Publications (10 Years): 95

Top Venues

CoRR

Future Gener. Comput. Syst.

Trans. Large Scale Data Knowl. Centered Syst.

SBBD

Publications

Ji Liu, Tianshi Che, Yang Zhou, Ruoming Jin, Huaiyu Dai, Dejing Dou, Patrick Valduriez
AEDFL: Efficient Asynchronous Decentralized Federated Learning with Heterogeneous Devices. SDM (2024)
Rocío Zorrilla, Eduardo S. Ogasawara, Patrick Valduriez, Fábio Porto
A Data-Driven Model Selection Approach to Spatio-Temporal Prediction. Trans. Large Scale Data Knowl. Centered Syst. (2024)
Raphael de Freitas Saldanha, Víctor Ribeiro, Eduardo H. M. Pena, Marcel Pedroso, Reza Akbarinia, Patrick Valduriez, Fábio Porto
Subset Models for Multivariate Time Series Forecast. ICDEW (2024)
Vítor Ribeiro, Eduardo H. M. Pena, Raphael de Freitas Saldanha, Reza Akbarinia, Patrick Valduriez, Falaah Arif Khan, Julia Stoyanovich, Fábio Porto
Subset Modelling: A Domain Partitioning Strategy for Data-efficient Machine-Learning. SBBD (2023)
Daniel Rosendo, Kate Keahey, Alexandru Costan, Matthieu Simonin, Patrick Valduriez, Gabriel Antoniu
KheOps: Cost-effective Repeatability, Reproducibility, and Replicability of Edge-to-Cloud Experiments. ACM-REP (2023)
Ji Liu, Daxiang Dong, Xi Wang, An Qin, Xingjian Li, Patrick Valduriez, Dejing Dou, Dianhai Yu
Large-scale knowledge distillation with elastic heterogeneous computing resources. Concurr. Comput. Pract. Exp. 35 (26) (2023)
Daniel Rosendo, Marta Mattoso, Alexandru Costan, Renan Souza, Débora B. Pina, Patrick Valduriez, Gabriel Antoniu
ProvLight: Efficient Workflow Provenance Capture on the Edge-to-Cloud Continuum. CoRR (2023)
Reza Akbarinia, Christophe Botella, Alexis Joly, Florent Masseglia, Marta Mattoso, Eduardo S. Ogasawara, Daniel de Oliveira, Esther Pacitti, Fábio Porto, Christophe Pradal, Dennis E. Shasha, Patrick Valduriez
Life Science Workflow Services (LifeSWS): Motivations and Architecture. Trans. Large Scale Data Knowl. Centered Syst. 55 (2023)
Daniel Rosendo, Kate Keahey, Alexandru Costan, Matthieu Simonin, Patrick Valduriez, Gabriel Antoniu
KheOps: Cost-effective Repeatability, Reproducibility, and Replicability of Edge-to-Cloud Experiments. CoRR (2023)
Ji Liu, Tianshi Che, Yang Zhou, Ruoming Jin, Huaiyu Dai, Dejing Dou, Patrick Valduriez
AEDFL: Efficient Asynchronous Decentralized Federated Learning with Heterogeneous Devices. CoRR (2023)
Daniel Rosendo, Marta Mattoso, Alexandru Costan, Renan Souza, Débora B. Pina, Patrick Valduriez, Gabriel Antoniu
ProvLight: Efficient Workflow Provenance Capture on the Edge-to-Cloud Continuum. CLUSTER (2023)
Ricardo Jiménez-Peris, Diego Burgos-Sancho, Francisco J. Ballesteros, Marta Patiño-Martínez, Patrick Valduriez
Elastic scalable transaction processing in LeanXcale. Inf. Syst. 108 (2022)
Renan Souza, Leonardo Guerreiro Azevedo, Vítor Lourenço, Elton F. S. Soares, Raphael Thiago, Rafael Brandão, Daniel Civitarese, Emilio Vital Brazil, Márcio Ferreira Moreno, Patrick Valduriez, Marta Mattoso, Renato Cerqueira, Marco A. S. Netto
Workflow provenance in the lifecycle of scientific machine learning. Concurr. Comput. Pract. Exp. 34 (14) (2022)
Ji Liu, Carlyna Bondiombouy, Lei Mo, Patrick Valduriez
Two-Phase Scheduling for Efficient Vehicle Sharing. IEEE Trans. Intell. Transp. Syst. 23 (1) (2022)
Ji Liu, Daxiang Dong, Xi Wang, An Qin, Xingjian Li, Patrick Valduriez, Dejing Dou, Dianhai Yu
Large-scale Knowledge Distillation with Elastic Heterogeneous Computing Resources. CoRR (2022)
Rocío Zorrilla, Eduardo S. Ogasawara, Patrick Valduriez, Fábio Porto
A Data-Driven Model Selection Approach to Spatio-Temporal Prediction. SBBD (2022)
Daniel Rosendo, Alexandru Costan, Patrick Valduriez, Gabriel Antoniu
Distributed intelligence on the Edge-to-Cloud Continuum: A systematic literature review. CoRR (2022)
Daniel Rosendo, Alexandru Costan, Patrick Valduriez, Gabriel Antoniu
Distributed intelligence on the Edge-to-Cloud Continuum: A systematic literature review. J. Parallel Distributed Comput. 166 (2022)
Renan Souza, Vítor Silva, Alexandre A. B. Lima, Daniel de Oliveira, Patrick Valduriez, Marta Mattoso
Distributed In-memory Data Management for Workflow Executions. CoRR (2021)
Oleksandra Levchenko, Boyan Kolev, Djamel Edine Yagoubi, Reza Akbarinia, Florent Masseglia, Themis Palpanas, Dennis E. Shasha, Patrick Valduriez
BestNeighbor: efficient evaluation of kNN queries on large time series databases. Knowl. Inf. Syst. 63 (2) (2021)
Liliane N. O. Kunstmann, Débora B. Pina, Filipe Silva, Aline Paes, Patrick Valduriez, Daniel de Oliveira, Marta Mattoso
Online Deep Learning Hyperparameter Tuning based on Provenance Analysis. J. Inf. Data Manag. 12 (5) (2021)
Renan Souza, Vítor Silva, Alexandre A. B. Lima, Daniel de Oliveira, Patrick Valduriez, Marta Mattoso
Distributed in-memory data management for workflow executions. PeerJ Comput. Sci. 7 (2021)
Daniel Rosendo, Alexandru Costan, Gabriel Antoniu, Matthieu Simonin, Jean-Christophe Lombardo, Alexis Joly, Patrick Valduriez
Reproducible Performance Optimization of Complex Applications on the Edge-to-Cloud Continuum. CLUSTER (2021)
Daxiang Dong, Ji Liu, Xi Wang, Weibao Gong, An Qin, Xingjian Li, Dianhai Yu, Patrick Valduriez, Dejing Dou
Elastic Deep Learning Using Knowledge Distillation with Heterogeneous Computing Resources. Euro-Par Workshops (2021)
Patrick Valduriez, Ricardo Jiménez-Peris, M. Tamer Özsu
Distributed Database Systems: The Case for NewSQL. Trans. Large Scale Data Knowl. Centered Syst. 48 (2021)
Gaëtan Heidsieck, Daniel de Oliveira, Esther Pacitti, Christophe Pradal, François Tardieu, Patrick Valduriez
Cache-aware scheduling of scientific workflows in a multisite cloud. Future Gener. Comput. Syst. 122 (2021)
Rafael S. Pereira, Alexis Joly, Patrick Valduriez, Fábio Porto
Hyperspherical embedding for novel class classification. CoRR (2021)
Daniel Rosendo, Alexandru Costan, Gabriel Antoniu, Patrick Valduriez
Enabling Reproducible Analysis of Complex Workflows on the Edge-to-Cloud Continuum. CoRR (2021)
Patrick Valduriez
Making the Right Move to Senior Researcher: Some Challenges and Hints. SIGMOD Rec. 50 (2) (2021)
Daniel Rosendo, Alexandru Costan, Gabriel Antoniu, Matthieu Simonin, Jean-Christophe Lombardo, Alexis Joly, Patrick Valduriez
Reproducible Performance Optimization of Complex Applications on the Edge-to-Cloud Continuum. CoRR (2021)
Débora B. Pina, Liliane N. O. Kunstmann, Daniel de Oliveira, Patrick Valduriez, Marta Mattoso
Provenance Supporting Hyperparameter Analysis in Deep Neural Networks. IPAW (2021)
Pavlos Kranas, Boyan Kolev, Oleksandra Levchenko, Esther Pacitti, Patrick Valduriez, Ricardo Jiménez-Peris, Marta Patiño-Martínez
Parallel query processing in a polystore. Distributed Parallel Databases 39 (4) (2021)
Débora B. Pina, Liliane N. O. Kunstmann, Daniel de Oliveira, Patrick Valduriez, Marta Mattoso
Uma abordagem para coleta e análise de dados de configurações em redes neurais profundas. SBBD (2020)
Gaëtan Heidsieck, Daniel de Oliveira, Esther Pacitti, Christophe Pradal, François Tardieu, Patrick Valduriez
Distributed Caching of Scientific Workflows in Multisite Cloud. DEXA (2) (2020)
Renan Souza, Leonardo Guerreiro Azevedo, Vítor Lourenço, Elton F. S. Soares, Raphael Thiago, Rafael Brandão, Daniel Civitarese, Emilio Vital Brazil, Márcio Ferreira Moreno, Patrick Valduriez, Marta Mattoso, Renato Cerqueira, Marco A. S. Netto
Workflow Provenance in the Lifecycle of Scientific Machine Learning. CoRR (2020)
Gaëtan Heidsieck, Daniel de Oliveira, Esther Pacitti, Christophe Pradal, François Tardieu, Patrick Valduriez
Efficient Execution of Scientific Workflows in the Cloud Through Adaptive Caching. Trans. Large Scale Data Knowl. Centered Syst. 44 (2020)
Noel Moreno Lemus, Fábio Porto, Yania Molina Souto, Rafael S. Pereira, Ji Liu, Esther Pacciti, Patrick Valduriez
SUQ2: Uncertainty Quantification Queries over Large Spatio-temporal Simulations. IEEE Data Eng. Bull. 43 (1) (2020)
Renan Souza, Vítor Silva, Alvaro L. G. A. Coutinho, Patrick Valduriez, Marta Mattoso
Data reduction in scientific workflows using provenance monitoring and user steering. Future Gener. Comput. Syst. 110 (2020)
Anderson Chaves da Silva, Hermano Lourenço Souza Lustosa, Daniel Nascimento Ramos da Silva, Fábio André Machado Porto, Patrick Valduriez
SAVIME: An Array DBMS for Simulation Analysis and ML Models Prediction. J. Inf. Data Manag. 11 (3) (2020)
Ji Liu, Noel Moreno Lemus, Esther Pacitti, Fábio Porto, Patrick Valduriez
Parallel computation of PDFs on big spatial data using Spark. Distributed Parallel Databases 38 (1) (2020)
Vítor Silva, Vinícius Campos, Thaylon Guedes, José J. Camata, Daniel de Oliveira, Alvaro L. G. A. Coutinho, Patrick Valduriez, Marta Mattoso
DfAnalyzer: Runtime dataflow analysis tool for Computational Science and Engineering applications. SoftwareX 12 (2020)
Christophe Pradal, Sarah Cohen-Boulakia, Patrick Valduriez, Dennis E. Shasha, Konrad Hinsen, Matthew A. Turk
VersionClimber: Version Upgrades Without Tears. Comput. Sci. Eng. 21 (5) (2019)
Sakina Mahboubi, Reza Akbarinia, Patrick Valduriez
Privacy-Preserving Top-k Query Processing in Distributed Systems. Trans. Large Scale Data Knowl. Centered Syst. 42 (2019)
Kwangjin Park, Alexis Joly, Patrick Valduriez
DZI: An air index for spatial queries in one-dimensional channels. Data Knowl. Eng. 124 (2019)
Renan Souza, Marta Mattoso, Leonardo Azevedo, Raphael Thiago, Elton F. de Souza Soares, Marcelo Nery dos Santos, Marco A. S. Netto, Emilio Vital Brazil, Renato Cerqueira, Patrick Valduriez
Efficient Runtime Capture of Multiworkflow Data Using Provenance. eScience (2019)
Boyan Kolev, Reza Akbarinia, Ricardo Jiménez-Peris, Oleksandra Levchenko, Florent Masseglia, Marta Patiño, Patrick Valduriez
Pipelined Implementation of a Parallel Streaming Method for Time Series Correlation Discovery on Sliding Windows. DATA (2019)
Hermano Lustosa, Fábio Porto, Patrick Valduriez
SAVIME: A Database Management System for Simulation Data Analysis and Visualization. SBBD (2019)
Renan Souza, Vítor Silva, José J. Camata, Alvaro L. G. A. Coutinho, Patrick Valduriez, Marta Mattoso
Keeping track of user steering actions in dynamic workflows. Future Gener. Comput. Syst. 99 (2019)
Renan Souza, Leonardo Azevedo, Vítor Lourenço, Elton F. de Souza Soares, Raphael Thiago, Rafael Brandão, Daniel Civitarese, Emilio Vital Brazil, Márcio Ferreira Moreno, Patrick Valduriez, Marta Mattoso, Renato Cerqueira, Marco A. S. Netto
Provenance Data in the Machine Learning Lifecycle in Computational Science and Engineering. CoRR (2019)
Boyan Kolev, Reza Akbarinia, Ricardo Jiménez-Peris, Oleksandra Levchenko, Florent Masseglia, Marta Patiño, Patrick Valduriez
Parallel Streaming Implementation of Online Time Series Correlation Discovery on Sliding Windows with Regression Capabilities. CLOSER (2019)
Renan Souza, Vítor Silva, José J. Camata, Alvaro L. G. A. Coutinho, Patrick Valduriez, Marta Mattoso
Keeping Track of User Steering Actions in Dynamic Workflows. CoRR (2019)
Oleksandra Levchenko, Boyan Kolev, Djamel Edine Yagoubi, Dennis E. Shasha, Themis Palpanas, Patrick Valduriez, Reza Akbarinia, Florent Masseglia
Distributed Algorithms to Find Similar Time Series. ECML/PKDD (3) (2019)
Gaëtan Heidsieck, Daniel de Oliveira, Esther Pacitti, Christophe Pradal, François Tardieu, Patrick Valduriez
Adaptive Caching for Data-Intensive Scientific Workflows in the Cloud. DEXA (2) (2019)
Ji Liu, Luis Pineda-Morales, Esther Pacitti, Alexandru Costan, Patrick Valduriez, Gabriel Antoniu, Marta Mattoso
Efficient Scheduling of Scientific Workflows Using Hot Metadata in a Multisite Cloud. IEEE Trans. Knowl. Data Eng. 31 (10) (2019)
Renan Souza, Patrick Valduriez, Marta Mattoso, Renato Cerqueira, Marco Aurélio Stelmar Netto, Leonardo Azevedo, Vítor Lourenço, Elton F. de Souza Soares, Raphael Thiago, Rafael Brandão, Daniel Civitarese, Emilio Vital Brazil, Márcio Ferreira Moreno
Provenance Data in the Machine Learning Lifecycle in Computational Science and Engineering. WORKS@SC (2019)
Vítor Silva, Renan Souza, José J. Camata, Daniel de Oliveira, Patrick Valduriez, Alvaro L. G. A. Coutinho, Marta Mattoso
Capturing Provenance for Runtime Data Analysis in Computational Science and Engineering Applications. IPAW (2018)
Fábio Porto, Amir Khatibi, João N. Rittmeyer, Eduardo S. Ogasawara, Patrick Valduriez, Dennis E. Shasha
Constellation Queries over Big Data. SBBD (2018)
Ji Liu, Noel Moreno Lemus, Esther Pacitti, Fábio Porto, Patrick Valduriez
Parallel Computation of PDFs on Big Spatial Data Using Spark. CoRR (2018)
Ji Liu, Noel Moreno Lemus, Esther Pacitti, Fábio Porto, Patrick Valduriez
Computation of PDFs on Big Spatial Data: Problem & Architecture. LADaS@VLDB (2018)
Boyan Kolev, Oleksandra Levchenko, Esther Pacitti, Patrick Valduriez, Ricardo Vilaça, Rui C. Gonçalves, Ricardo Jiménez-Peris, Pavlos Kranas
Parallel Polyglot Query Processing on Heterogeneous Cloud Data Stores with LeanXcale. IEEE BigData (2018)
Djamel Edine Yagoubi, Reza Akbarinia, Boyan Kolev, Oleksandra Levchenko, Florent Masseglia, Patrick Valduriez, Dennis E. Shasha
ParCorr: efficient parallel methods to identify similar time series pairs across sliding windows. Data Min. Knowl. Discov. 32 (5) (2018)
Fábio Porto, João N. Rittmeyer, Eduardo S. Ogasawara, Alberto Krone-Martins, Patrick Valduriez, Dennis E. Shasha
Point pattern search in big data. SSDBM (2018)
Ji Liu, Esther Pacitti, Patrick Valduriez
A survey of scheduling frameworks in big data systems. Int. J. Cloud Comput. 7 (2) (2018)
Patrick Valduriez, Marta Mattoso, Reza Akbarinia, Heraldo Borges, José J. Camata, Alvaro L. G. A. Coutinho, Daniel Gaspar, Noel Moreno Lemus, Ji Liu, Hermano Lustosa, Florent Masseglia, Fabrício Nogueira da Silva, Vítor Silva, Renan Souza, Kary A. C. S. Ocaña, Eduardo S. Ogasawara, Daniel de Oliveira, Esther Pacitti, Fábio Porto, Dennis E. Shasha
Scientific Data Analysis Using Data-Intensive Scalable Computing: The SciDISC Project. LADaS@VLDB (2018)
Ladjel Bellatreche, Patrick Valduriez, Tadeusz Morzy
Advances in Databases and Information Systems. Inf. Syst. Frontiers 20 (1) (2018)
José J. Camata, Vítor Silva, Patrick Valduriez, Marta Mattoso, Alvaro L. G. A. Coutinho
In situ visualization and data analysis for turbidity currents simulation. Comput. Geosci. 110 (2018)
Christophe Pradal, Sarah Cohen Boulakia, Gaëtan Heidsieck, Esther Pacitti, François Tardieu, Patrick Valduriez
Distributed Management of Scientific Workflows for High-Throughput Plant Phenotyping. ERCIM News 2018 (113) (2018)
Sakina Mahboubi, Reza Akbarinia, Patrick Valduriez
Answering Top-k Queries over Outsourced Sensitive Data in the Cloud. DEXA (1) (2018)
Vítor Silva, Daniel de Oliveira, Marta Mattoso, Patrick Valduriez
DfAnalyzer: Runtime Dataflow Analysis of Scientific Applications using Provenance. Proc. VLDB Endow. 11 (12) (2018)
Sakina Mahboubi, Reza Akbarinia, Patrick Valduriez
Privacy-Preserving Top-k Query Processing in Distributed Systems. Euro-Par (2018)
Sakina Mahboubi, Reza Akbarinia, Patrick Valduriez
Top-k Query Processing over Distributed Sensitive Data. IDEAS (2018)
Amir Khatibi, Fábio Porto, João Guilherme Nobre Rittmeyer, Eduardo S. Ogasawara, Patrick Valduriez, Dennis E. Shasha
Pre-processing and Indexing Techniques for Constellation Queries in Big Data. DaWaK (2017)
Renan Souza, Vítor Silva, Pedro Miranda, Alexandre A. B. Lima, Patrick Valduriez, Marta Mattoso
Spark Scalability Analysis in a Scientific Workflow. SBBD (Short Papers) (2017)
Ladjel Bellatreche, Patrick Valduriez, Tadeusz Morzy
Advances in Databases and Information Systems. Inf. Syst. 70 (2017)
Fábio Porto, Amir Khatibi, João Guilherme Nobre Rittmeyer, Eduardo S. Ogasawara, Patrick Valduriez, Dennis E. Shasha
Constellation Queries over Big Data. CoRR (2017)
Ji Liu, Esther Pacitti, Patrick Valduriez, Marta Mattoso
Scientific Workflow Scheduling with Provenance Data in a Multisite Cloud. Trans. Large Scale Data Knowl. Centered Syst. 33 (2017)
Christophe Pradal, Simon Artzet, Jérôme Chopard, Dimitri Dupuis, Christian Fournier, Michael Mielewczik, Vincent Nègre, Pascal Neveu, Didier Parigot, Patrick Valduriez, Sarah Cohen Boulakia
InfraPhenoGrid: A scientific workflow infrastructure for plant phenomics on the Grid. Future Gener. Comput. Syst. 67 (2017)
Vítor Silva, José Leite, José J. Camata, Daniel de Oliveira, Alvaro L. G. A. Coutinho, Patrick Valduriez, Marta Mattoso
Raw data queries during data-intensive parallel workflow execution. Future Gener. Comput. Syst. 75 (2017)
Hermano Lustosa, Fábio Porto, Noel Moreno Lemus, Patrick Valduriez
TARS: An Array Model with Rich Semantics for Multidimensional Data. ER Forum/Demos (2017)
Valentin Leveau, Alexis Joly, Olivier Buisson, Patrick Valduriez
Spatially Localized Visual Dictionary Learning. ICMR (2016)
Rafael Mayo-García, José J. Camata, José M. Cela, Danilo Costa, Alvaro L. G. A. Coutinho, Daniel Fernández-Galisteo, Carmen Jiménez, Vadim Kourdioumov, Marta Mattoso, Thomas Miras, José A. Moríñigo, Jorge Navarro, Philippe O. A. Navaux, Daniel de Oliveira, Manuel Aurelio Rodriguez Pascual, Vítor Silva, Renan Souza, Patrick Valduriez
Enhancing Energy Production with Exascale HPC Methods. CARLA (2016)
Boyan Kolev, Carlyna Bondiombouy, Patrick Valduriez, Ricardo Jiménez-Peris, Raquel Pau, José Pereira
The CloudMdsQL Multistore System. SIGMOD Conference (2016)
Miguel Liroz-Gistau, Reza Akbarinia, Divyakant Agrawal, Patrick Valduriez
FP-Hadoop: Efficient processing of skewed MapReduce jobs. Inf. Syst. 60 (2016)
Luis Pineda-Morales, Ji Liu, Alexandru Costan, Esther Pacitti, Gabriel Antoniu, Patrick Valduriez, Marta Mattoso
Managing hot metadata for scientific workflows on multisite clouds. IEEE BigData (2016)
Ji Liu, Esther Pacitti, Patrick Valduriez, Daniel de Oliveira, Marta Mattoso
Multi-objective scheduling of Scientific Workflows in multisite clouds. Future Gener. Comput. Syst. 63 (2016)
Carlyna Bondiombouy, Boyan Kolev, Oleksandra Levchenko, Patrick Valduriez
Multistore Big Data Integration with CloudMdsQL. Trans. Large Scale Data Knowl. Centered Syst. 28 (2016)
Boyan Kolev, Raquel Pau, Oleksandra Levchenko, Patrick Valduriez, Ricardo Jiménez-Peris, José Pereira
Benchmarking polystores: The CloudMdsQL experience. IEEE BigData (2016)
Hermano Lustosa, Fábio Porto, Pablo Blanco, Patrick Valduriez
Database System Support of Simulation Data. Proc. VLDB Endow. 9 (13) (2016)
Carlyna Bondiombouy, Patrick Valduriez
Query processing in multistore systems: an overview. Int. J. Cloud Comput. 5 (4) (2016)
Boyan Kolev, Carlyna Bondiombouy, Oleksandra Levchenko, Patrick Valduriez, Ricardo Jiménez-Peris, Raquel Pau, José Pereira
Design and Implementation of the CloudMdsQL Multistore System. CLOSER (1) (2016)
Boyan Kolev, Patrick Valduriez, Carlyna Bondiombouy, Ricardo Jiménez-Peris, Raquel Pau, José Pereira
CloudMdsQL: querying heterogeneous cloud data stores with a common language. Distributed Parallel Databases 34 (4) (2016)
Vítor Silva, Daniel de Oliveira, Patrick Valduriez, Marta Mattoso
Analyzing related raw data files through dataflows. Concurr. Comput. Pract. Exp. 28 (8) (2016)
Renan Souza, Vítor Silva, Alvaro L. G. A. Coutinho, Patrick Valduriez, Marta Mattoso
Online Input Data Reduction in Scientific Workflows. WORKS@SC (2016)
Ji Liu, Esther Pacitti, Patrick Valduriez, Marta Mattoso
Scientific Workflow Scheduling with Provenance Support in Multisite Cloud. VECPAR (2016)
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
CoherentPaaS - A Coherent and Rich PaaS with a Common Programming Model. EPS (2016)
Valentin Leveau, Alexis Joly, Olivier Buisson, Patrick Valduriez
Kernelizing Spatially Consistent Visual Matches for Fine-Grained Classification. ICMR (2015)
Carlyna Bondiombouy, Boyan Kolev, Oleksandra Levchenko, Patrick Valduriez
Integrating Big Data and Relational Data with a Functional SQL-like Query Language. DEXA (1) (2015)
Ji Liu, Esther Pacitti, Patrick Valduriez, Marta Mattoso
A Survey of Data-Intensive Scientific Workflow Management. J. Grid Comput. 13 (4) (2015)
Miguel Liroz-Gistau, Reza Akbarinia, Patrick Valduriez
FP-Hadoop: Efficient Execution of Parallel Jobs Over Skewed Data. Proc. VLDB Endow. 8 (12) (2015)
Reza Akbarinia, Esther Pacitti, Patrick Valduriez
Corrigendum to "Best position algorithms for efficient top-k query processing" [Inf. Syst 36(6) (2011) 973-989]. Inf. Syst. 52 (2015)

Patrick Valduriez.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Patrick Valduriez