Road scene graph: A semantic graph-based scene representation dataset for intelligent vehicles
Rich semantic information extraction plays a vital role on next-generation intelligent
vehicles. Currently there is great amount of research focusing on fundamental applications …
vehicles. Currently there is great amount of research focusing on fundamental applications …
Rsg-net: Towards rich sematic relationship prediction for intelligent vehicle in complex environments
Y Tian, A Carballo, R Li… - 2021 IEEE Intelligent …, 2021 - ieeexplore.ieee.org
Behavioral and semantic relationships play a vital role on intelligent self-driving vehicles
and ADAS systems. Different from other research focused on trajectory, position, and …
and ADAS systems. Different from other research focused on trajectory, position, and …
[PDF][PDF] Towards assessment of subgroup harms and predictive bias in risk-scoring models
A Dubowski - research.tue.nl
Abstract With Artificial Intelligence (AI) integration into real-world decision-support systems,
industry professionals are under mounting pressure to evaluate biases in their Machine …
industry professionals are under mounting pressure to evaluate biases in their Machine …
Exceptional model mining for behavioral data analysis
A Belfodil - 2019 - hal.science
With the rapid proliferation of data platforms collecting and curating data related to various
domains such as governments data, education data, environment data or product ratings …
domains such as governments data, education data, environment data or product ratings …
A Query-Driven System for Discovering Interesting Subgraphs in Social Media
S Dasgupta, A Gupta - arXiv preprint arXiv:2102.09120, 2021 - arxiv.org
Social media data are often modeled as heterogeneous graphs with multiple types of nodes
and edges. We present a discovery algorithm that first chooses a" background" graph based …
and edges. We present a discovery algorithm that first chooses a" background" graph based …
[PDF][PDF] Mining interesting outlier subgraphs in attributed graphs
A Mel, T De Bie - … and Interpretable Machine Learning (XI-ML), 2022 - biblio.ugent.be
A common task in local pattern mining on attributed graphs revolves around detecting
subgraphs with predefined similarity measures on the attributes of the nodes. In this work we …
subgraphs with predefined similarity measures on the attributes of the nodes. In this work we …
Contribution à la découverte de sous-groupes corrélés: Application à l'analyse des systèmes territoriaux et des réseaux alimentaires
MA Hammal - 2020 - theses.hal.science
Mieux nourrir les villes en quantité et en qualité, notamment les grandes agglomérations,
constitue un défi majeur dont la résolution passe par une meilleure compréhension des …
constitue un défi majeur dont la résolution passe par une meilleure compréhension des …
[PDF][PDF] Exceptional Model Mining for Behavioral Data Analysis
L L'INSA - 2019 - hal.science
“Journalism is the activity of gathering, assessing, creating, and presenting news and
information" 1. The primary objective of journalism is to “provide citizens with the information …
information" 1. The primary objective of journalism is to “provide citizens with the information …
[引用][C] Détection d'anomalies dans les flux de données par structure d'indexation et approximation. Applicationa l'analyse en continu des flux de messages du systeme …
L L'INSA - 2020 - INSA Lyon