output
20092025
most citedDeep Learning for Spatio-Temporal Data Mining: A Survey

32 citations

7 papers

cs.RO2025★ 1 cited

Beyond Confidence: Adaptive Abstention in Dual-Threshold Conformal Prediction for Autonomous System Perception

Divake Kumar, Nastaran Darabi, Sina Tayebati +1

Safety-critical perception systems require both reliable uncertainty quantification and principled abstention mechanisms to maintain safety under diverse operational conditions. We…

quant-ph2022★ 8 cited

Demonstration of machine-learning-enhanced Bayesian quantum state estimation

Sanjaya Lohani, Joseph M. Lukens, Atiyya A. Davis +6

Machine learning (ML) has found broad applicability in quantum information science in topics as diverse as experimental design, state classification, and even studies on quantum fo…

cs.LG2021★ 16 cited

Higher-Order Attribute-Enhancing Heterogeneous Graph Neural Networks

Jianxin Li, Hao Peng, Yuwei Cao +4

Graph neural networks (GNNs) have been widely used in deep learning on graphs. They can learn effective node representations that achieve superior performances in graph analysis ta…

cs.AI2020★ 1 cited

Differentially Private Multi-Agent Planning for Logistic-like Problems

Dayong Ye, Tianqing Zhu, Sheng Shen +2

Planning is one of the main approaches used to improve agents' working efficiency by making plans beforehand. However, during planning, agents face the risk of having their private…

cs.LG2019★ 32 cited

Deep Learning for Spatio-Temporal Data Mining: A Survey

Senzhang Wang, Jiannong Cao, Philip S. Yu

With the fast development of various positioning techniques such as Global Position System (GPS), mobile devices and remote sensing, spatio-temporal data has become increasingly av…

q-fin.GN2018

The Information Content of Sarbanes-Oxley in Predicting Security Breaches

J. Christopher Westland

We investigated publicly reported security breaches of internal controls in corporate systems to determine whether SOX assessments are information bearing with respect to breaches…