| Title: |
X-Insight: Interactive Dashboard for Explainable Unsupervised Learning |
| Authors: |
Bouziane, Mohamed; Sottiaux, Julien; Sobanski, Vincent; Chepy, Aurélien; Chelly Dagdia, Zaineb |
| Contributors: |
Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 (CRIStAL); Centrale Lille-Université de Lille-Centre National de la Recherche Scientifique (CNRS); Institute for Translational Research in Inflammation - U 1286 (INFINITE); Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Lille-Centre Hospitalier Régional Universitaire CHU Lille (CHRU Lille); Université de Lille; Institut d'Immunologie CHRU Lille; Pôle de Biologie Pathologie Génétique CHU Lille; Centre Hospitalier Régional Universitaire CHU Lille (CHRU Lille)-Centre Hospitalier Régional Universitaire CHU Lille (CHRU Lille); Institut universitaire de France (IUF); Ministère de l'Education nationale, de l’Enseignement supérieur et de la Recherche (M.E.N.E.S.R.); Lille Inflammation Research International Center - U 995 (LIRIC); Institut Pasteur de Lille; Pasteur Network (Réseau International des Instituts Pasteur)-Pasteur Network (Réseau International des Instituts Pasteur)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Lille-Centre Hospitalier Régional Universitaire CHU Lille (CHRU Lille); Centre Hospitalier Régional Universitaire CHU Lille (CHRU Lille); European Project: 101236749 |
| Source: |
European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases - ECML PKDD ; https://hal.science/hal-05669436 ; European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases - ECML PKDD, Sep 2026, Naples, Italy ; https://ecmlpkdd.org/2026/ |
| Publisher Information: |
CCSD |
| Publication Year: |
2026 |
| Collection: |
Inserm: HAL (Institut national de la santé et de la recherche médicale) |
| Subject Terms: |
Interactive dashboard; Clustering; Explainability; Explainability Clustering Interactive dashboard; [INFO]Computer Science [cs] |
| Subject Geographic: |
Naples; Italy |
| Description: |
International audience ; This paper presents X-Insight, a Streamlit-based platform for explainable unsupervised analysis of tabular data. The platform integrates data exploration, preprocessing, multiple clustering algorithms, global and local explainability, and counterfactual analysis within a single end-to-end workflow, with optional LLM-assisted interpretation that summarizes and contextualizes the outputs of the XAI modules. While general-purpose and applicable to any tabular dataset, it is demonstrated on a systemic sclerosis cohort for subgroup discovery. X-Insight promotes trustworthiness and interpretability through interactive visualizations, fidelity-assessed surrogate rules, fairness checks, and clinically constrained counterfactuals, providing actionable insights for researchers and clinicians. The tool is available at https://github.com/ BDevArtisan/x-insight, with a demonstration video at https://youtu. be/1axDFT7N3fk. |
| Document Type: |
conference object |
| Language: |
English |
| Relation: |
info:eu-repo/grantAgreement//101236749/EU/ Programme Horizon Europe de l’Union européenne (MSCA, convention n° 101236749)/ |
| Availability: |
https://hal.science/hal-05669436; https://hal.science/hal-05669436v1/document; https://hal.science/hal-05669436v1/file/x_insight.pdf |
| Rights: |
https://creativecommons.org/licenses/by-nc-nd/4.0/ ; info:eu-repo/semantics/OpenAccess |
| Accession Number: |
edsbas.6D90DC0 |
| Database: |
BASE |