Semantic Visualization of Biochemical Databases. - Esteban Zimányi; Sabri Skhiri dit Gabouje (ICSNW, 2004)

EQS: An Elastic and Scalable Message Queue for the Cloud. - Nam-Luc Tran; Sabri Skhiri; Esteban Zimányi (CloudCom, 2011)

Governance Issues on Heavy Models in an Industrial Context. - Sabri Skhiri; Marc Delbaere; Yves Bontemps; Gregoire de Hemptinne; Nam-Luc Tran (ER Workshops, 2011)

AROM: Processing big data with Data Flow Graphs and functional programming. - Nam-Luc Tran; Sabri Skhiri; Arthur Lesuisse; Esteban Zimányi (CloudCom, 2012)

Large Graph Mining: Recent Developments, Challenges and Potential Solutions. - Sabri Skhiri; Salim Jouili (eBISS, 2012)

A distributed approach for graph-oriented multidimensional analysis. - Benoît Denis; Amine Ghrab; Sabri Skhiri (IEEE BigData, 2013)

Towards a Standards-based Cloud Service Manager. - Amine Ghrab; Sabri Skhiri; Hervé Koener; Guy Leduc (CLOSER, 2013)

An Analytics-Aware Conceptual Model for Evolving Graphs. - Amine Ghrab; Sabri Skhiri; Salim Jouili; Esteban Zimányi (DaWaK, 2013)

A Framework for Building OLAP Cubes on Graphs. - Amine Ghrab; Oscar Romero 001; Sabri Skhiri; Alejandro A. Vaisman; Esteban Zimányi (ADBIS, 2015)

Distributed frank-wolfe under pipelined stale synchronous parallelism. - Nam-Luc Tran; Thomas Peel; Sabri Skhiri (IEEE BigData, 2015)

GRAD: On Graph Database Modeling. - Amine Ghrab; Oscar Romero 001; Sabri Skhiri; Alejandro A. Vaisman; Esteban Zimányi (CoRR, 2016)

Discovering interesting patterns in large graph cubes. - Florian Demesmaeker; Amine Ghrab; Siegfried Nijssen; Sabri Skhiri (IEEE BigData, 2017)

Graph BI & Analytics: Current State and Future Challenges. - Amine Ghrab; Oscar Romero 001; Salim Jouili; Sabri Skhiri (DaWaK, 2018)

GraphOpt: a Framework for Automatic Parameters Tuning of Graph Processing Frameworks. - Muaz Twaty; Amine Ghrab; Sabri Skhiri (IEEE BigData, 2019)

LEAD: A Formal Specification For Event Processing. - Anas Al Bassit; Sabri Skhiri; Hejer Ammar (DEBS, 2019)

A Performance Prediction Model for Spark Applications. - Muhammad Usama Javaid; Ahmed Amir Kanoun; Florian Demesmaeker; Amine Ghrab; Sabri Skhiri (BigData, 2020)

Towards Privacy Policy Conceptual Modeling. - Katsiaryna Krasnashchok; Majd Mustapha; Anas Al Bassit; Sabri Skhiri (ER, 2020)

Privacy Policy Classification with XLNet (Short Paper). - Majd Mustapha; Katsiaryna Krasnashchok; Anas Al Bassit; Sabri Skhiri (DPM/CBT@ESORICS, 2020)

MIC: Multi-view Image Classifier using Generative Adversarial Networks for Missing Data Imputation. - Gianmarco Aversano; Mahmoud Jarraya; Maher Marwani; Ichraf Lahouli; Sabri Skhiri (SSD, 2021)

AMI-Class: Towards a Fully Automated Multi-view Image Classifier. - Mahmoud Jarraya; Maher Marwani; Gianmarco Aversano; Ichraf Lahouli; Sabri Skhiri (CAIP (2), 2021)

Automatic Parameter Tuning for Big Data Pipelines with Deep Reinforcement Learning. - Houssem Sagaama; Nourchene Ben Slimane; Maher Marwani; Sabri Skhiri (ISCC, 2021)

Policy-Based Automated Compliance Checking. - Anas Al Bassit; Katsiaryna Krasnashchok; Sabri Skhiri; Majd Mustapha (RuleML+RR, 2021)

TopoGraph: an End-To-End Framework to Build and Analyze Graph Cubes. - Amine Ghrab; Oscar Romero 001; Sabri Skhiri; Esteban Zimányi (Inf. Syst. Frontiers, 2021)

SANGEA: Scalable and Attributed Network Generation. - Valentin Lemaire; Youssef Achenchabe; Lucas Ody; Houssem Eddine Souid; Gianmarco Aversano; Nicolas Posocco; Sabri Skhiri (ACML, 2023)

The Building Blocks of a Responsible Artificial Intelligence Practice: An Outlook on the Current Landscape. - Maryem Marzouk; Cyrine Zitoun; Oumaima Belghith; Sabri Skhiri (IEEE Intell. Syst., 2023)

Mjolnir: A framework agnostic auto-tuning system with deep reinforcement learning. - Nourchene Ben Slimane; Houssem Sagaama; Maher Marwani; Sabri Skhiri (Appl. Intell., 2023)

Temporal Graph Generative Models: An empirical study. - Houssem Eddine Souid; Lucas Ody; Youssef Achenchabe; Valentin Lemaire; Gianmarco Aversano; Sabri Skhiri (EuroMLSys@EuroSys, 2024)

A Tale of Many Streams: Characterizing a Hybrid Batch-Stream Production Workload in Digazu, a Data Lake supported by Apache Kafka and Flink. - Donatien Schmitz; Luc Berrewaerts; Guillaume Rosinosky; Sabri Skhiri; Etienne Rivière (DEBS, 2025)