11 citations · 20 across the 7 of their papers we have counts for
8 papers
AegisTS: A Hierarchical Agentic AI System with Reinforcement Learning for Multivariate Time Series Data Cleaning
Yuhan Shi, Yuanyuan Yao, Lu Chen +3
Multivariate time series (MTS) are frequently affected by co-occurring quality issues, such as missing values, outliers, and constraint violations, which significantly undermine do…
ImputeGAP: A Comprehensive Library for Time Series Imputation
Quentin Nater, Mourad Khayati
With the prevalence of sensor failures, imputation, the process of estimating missing values, has emerged as the cornerstone of time series data pre-processing. While numerous impu…
DAOC: Stable Clustering of Large Networks
Artem Lutov, Mourad Khayati, Philippe Cudré-Mauroux
Clustering is a crucial component of many data mining systems involving the analysis and exploration of various data. Data diversity calls for clustering algorithms to be accurate…
StaTIX - Statistical Type Inference on Linked Data
Artem Lutov, Soheil Roshankish, Mourad Khayati +1
Large knowledge bases typically contain data adhering to various schemas with incomplete and/or noisy type information. This seriously complicates further integration and post-proc…
Accuracy Evaluation of Overlapping and Multi-resolution Clustering Algorithms on Large Datasets
Artem Lutov, Mourad Khayati, Philippe Cudré-Mauroux
Performance of clustering algorithms is evaluated with the help of accuracy metrics. There is a great diversity of clustering algorithms, which are key components of many data anal…
Clubmark: a Parallel Isolation Framework for Benchmarking and Profiling Clustering Algorithms on NUMA Architectures
Artem Lutov, Mourad Khayati, Philippe Cudré-Mauroux
There is a great diversity of clustering and community detection algorithms, which are key components of many data analysis and exploration systems. To the best of our knowledge, h…
FashionBrain Project: A Vision for Understanding Europe's Fashion Data Universe
Alessandro Checco, Gianluca Demartini, Alexander Loeser +7
A core business in the fashion industry is the understanding and prediction of customer needs and trends. Search engines and social networks are at the same time a fundamental brid…
ScienceWISE: Topic Modeling over Scientific Literature Networks
Andrea Martini, Artem Lutov, Valerio Gemmetto +11
We provide an up-to-date view on the knowledge management system ScienceWISE (SW) and address issues related to the automatic assignment of articles to research topics. So far, SW…