Mourad Khayati

33 papers A* 6B 1Misc 1Journal 16Unranked 8
YearRankTypeTitle / Venue / Authors
2025 — conf
A Hands-on Tutorial on Time Series Imputation with ImputeGAP.
KDD (2)
Quentin Nater, Mourad Khayati, Philippe Cudré-Mauroux
2025 J jnl
A survey of multimodal event detection based on data fusion.
VLDB J.
Manuel Mondal, Mourad Khayati, Hông-Ân Sandlin, Philippe Cudré-Mauroux
2025 A* conf
A-DARTS: Stable Model Selection for Data Repair in Time Series.
ICDE
Mourad Khayati, Guillaume Chacun, Zakhar Tymchenko, Philippe Cudré-Mauroux
2025 J jnl
ImputeGAP: A Comprehensive Library for Time Series Imputation.
CoRR
Quentin Nater, Mourad Khayati, Jacques Pasquier
2024 J jnl
ImputeVIS: An Interactive Evaluator to Benchmark Imputation Techniques for Time Series Data.
Proc. VLDB Endow.
Mourad Khayati, Quentin Nater, Jacques Pasquier
2024 J jnl
SEER: An End-to-End Toolkit for Benchmarking Time Series Database Systems in Monitoring Applications.
Proc. VLDB Endow.
Luca Althaus, Mourad Khayati, Abdelouahab Khelifati, Anton Dignös, Djellel Eddine Difallah, Philippe Cudré-Mauroux
2023 J jnl
TSM-Bench: Benchmarking Time Series Database Systems for Monitoring Applications.
Proc. VLDB Endow.
Abdelouahab Khelifati, Mourad Khayati, Anton Dignös, Djellel Eddine Difallah, Philippe Cudré-Mauroux
2021 A* conf
Peer Grading the Peer Reviews: A Dual-Role Approach for Lightening the Scholarly Paper Review Process.
WWW
Ines Arous, Jie Yang, Mourad Khayati, Philippe Cudré-Mauroux
2021 A* conf
VADETIS: An Explainable Evaluator for Anomaly Detection Techniques.
ICDE
Abdelouahab Khelifati, Mourad Khayati, Philippe Cudré-Mauroux, Adrian Hänni, Qian Liu, Manfred Hauswirth
2020 J jnl
Mind the Gap: An Experimental Evaluation of Imputation of Missing Values Techniques in Time Series.
Proc. VLDB Endow.
Mourad Khayati, Alberto Lerner, Zakhar Tymchenko, Philippe Cudré-Mauroux
2020 J jnl
ORBITS: Online Recovery of Missing Values in Multiple Time Series Streams.
Proc. VLDB Endow.
Mourad Khayati, Ines Arous, Zakhar Tymchenko, Philippe Cudré-Mauroux
2020 A* conf
OpenCrowd: A Human-AI Collaborative Approach for Finding Social Influencers via Open-Ended Answers Aggregation.
WWW
Ines Arous, Jie Yang, Mourad Khayati, Philippe Cudré-Mauroux
2020 J jnl
Scalable recovery of missing blocks in time series with high and low cross-correlations.
Knowl. Inf. Syst.
Mourad Khayati, Philippe Cudré-Mauroux, Michael H. Böhlen
2019 — conf
Accuracy Evaluation of Overlapping and Multi-Resolution Clustering Algorithms on Large Datasets.
BigComp
Artem Lutov, Mourad Khayati, Philippe Cudré-Mauroux
2019 J jnl
Accuracy Evaluation of Overlapping and Multi-resolution Clustering Algorithms on Large Datasets.
CoRR
Artem Lutov, Mourad Khayati, Philippe Cudré-Mauroux
2019 — conf
CORAD: Correlation-Aware Compression of Massive Time Series using Sparse Dictionary Coding.
IEEE BigData
Abdelouahab Khelifati, Mourad Khayati, Philippe Cudré-Mauroux
2019 J jnl
Clubmark: a Parallel Isolation Framework for Benchmarking and Profiling Clustering Algorithms on NUMA Architectures.
CoRR
Artem Lutov, Mourad Khayati, Philippe Cudré-Mauroux
2019 — conf
DAOC: Stable Clustering of Large Networks.
IEEE BigData
Artem Lutov, Mourad Khayati, Philippe Cudré-Mauroux
2019 J jnl
DAOC: Stable Clustering of Large Networks.
CoRR
Artem Lutov, Mourad Khayati, Philippe Cudré-Mauroux
2019 — ch.
Online Anomaly Detection over Big Data Streams.
Applied Data Science
Laura Rettig, Mourad Khayati, Philippe Cudré-Mauroux, Michal Piórkowski
2019 A* conf
RecovDB: Accurate and Efficient Missing Blocks Recovery for Large Time Series.
ICDE
Ines Arous, Mourad Khayati, Philippe Cudré-Mauroux, Ying Zhang, Martin L. Kersten, Svetlin Stalinlov
2019 J jnl
StaTIX - Statistical Type Inference on Linked Data.
CoRR
Artem Lutov, Soheil Roshankish, Mourad Khayati, Philippe Cudré-Mauroux
2018 — conf
Clubmark: A Parallel Isolation Framework for Benchmarking and Profiling Clustering Algorithms on NUMA Architectures.
ICDM Workshops
Artem Lutov, Mourad Khayati, Philippe Cudré-Mauroux
2018 — conf
StaTIX - Statistical Type Inference on Linked Data.
IEEE BigData
Artem Lutov, Soheil Roshankish, Mourad Khayati, Philippe Cudré-Mauroux
2017 J jnl
FashionBrain Project: A Vision for Understanding Europe's Fashion Data Universe.
CoRR
Alessandro Checco, Gianluca Demartini, Alexander Löser, Ines Arous, Mourad Khayati, Matthias Dantone, Richard Koopmanschap, Svetlin Stalinlov, Martin L. Kersten, Ying Zhang
2016 J jnl
ScienceWISE: Topic Modeling over Scientific Literature Networks.
CoRR
Andrea Martini, Artem Lutov, Valerio Gemmetto, Andrii Magalich, Alessio Cardillo, Alex Constantin, Vasyl Palchykov, Mourad Khayati, Philippe Cudré-Mauroux, Alexey Boyarsky, Oleg Ruchayskiy, Diego Garlaschelli, Paolo De Los Rios, Karl Aberer
2015 — conf
Online anomaly detection over Big Data streams.
IEEE BigData
Laura Rettig, Mourad Khayati, Philippe Cudré-Mauroux, Michal Piórkowski
2015 B conf
Using Lowly Correlated Time Series to Recover Missing Values in Time Series: A Comparison Between SVD and CD.
SSTD
Mourad Khayati, Michael H. Böhlen, Philippe Cudré-Mauroux
2014 A* conf
Memory-efficient centroid decomposition for long time series.
ICDE
Mourad Khayati, Michael H. Böhlen, Johann Gamper
2014 — conf
Missing Value Imputation in Time Series Using Top-k Case Matching.
Grundlagen von Datenbanken
Kevin Wellenzohn, Hannes Mitterer, Johann Gamper, Michael H. Böhlen, Mourad Khayati
2012 Misc conf
REBOM: Recovery of Blocks of Missing Values in Time Series.
COMAD
Mourad Khayati, Michael H. Böhlen
2012 J jnl
Similarity of chemotherapy histories based on imputed values.
Int. J. Medical Eng. Informatics
Mourad Khayati, Jay Martin Anderson, Michael H. Böhlen, Johann Gamper, Manfred Mitterer
2008 J jnl
Incremental approach for Continuous k-Nearest Neighbours queries on road.
Int. J. Intell. Inf. Database Syst.
Mourad Khayati, Jalel Akaichi