Rapid trust calibration through interpretable and uncertainty-aware AI

R Tomsett, A Preece, D Braines, F Cerutti… - Patterns, 2020 - cell.com
Artificial intelligence (AI) systems hold great promise as decision-support tools, but we must
be able to identify and understand their inevitable mistakes if they are to fulfill this potential …

Quality of information in mobile crowdsensing: Survey and research challenges

F Restuccia, N Ghosh, S Bhattacharjee… - ACM Transactions on …, 2017 - dl.acm.org
Smartphones have become the most pervasive devices in people's lives and are clearly
transforming the way we live and perceive technology. Today's smartphones benefit from …

Monte Carlo DropBlock for modeling uncertainty in object detection

SH Yelleni, D Kumari, PK Srijith - Pattern Recognition, 2024 - Elsevier
With the advancements made in deep learning, computer vision problems have seen a great
improvement in performance. However, in many real-world applications such as …

Monte carlo dropblock for modelling uncertainty in object detection

K Deepshikha, SH Yelleni, PK Srijith… - arxiv preprint arxiv …, 2021 - arxiv.org
With the advancements made in deep learning, computer vision problems like object
detection and segmentation have seen a great improvement in performance. However, in …

Revisiting the JDL model for information Exploitation

E Blasch, A Steinberg, S Das, J Llinas… - Proceedings of the …, 2013 - ieeexplore.ieee.org
The original Joint Directors of Laboratories (JDL) model was developed in the early 90's,
with revisits in 1998, and 2004. Today, with new technologies of big data, cloud computing …

Situation awareness within the context of connected cars: A comprehensive review and recent trends

K Golestan, R Soua, F Karray, MS Kamel - Information Fusion, 2016 - Elsevier
Driving safety is among the most important factors in the design of next generation vehicles
as an integral component of Intelligent Transportation Systems. Crash avoidance and …

URREF reliability versus credibility in information fusion (STANAG 2511)

E Blasch, KB Laskey, AL Jousselme… - Proceedings of the …, 2013 - ieeexplore.ieee.org
For many operational information fusion systems, both reliability and credibility are
evaluation criteria for collected information. The Uncertainty Representation and Reasoning …

Context aided video-to-text information fusion

E Blasch, J Nagy, A Aved, EK Jones… - 17th International …, 2014 - ieeexplore.ieee.org
Information Fusion consists of organizing a set of data for correlation in time, association
over multimodal collections, and estimation in space. There exist many methods for object …

Performance evaluation metrics and approaches for target tracking: A survey

Y Song, Z Hu, T Li, H Fan - Sensors, 2022 - mdpi.com
Performance evaluation (PE) plays a key role in the design and validation of any target-
tracking algorithms. In fact, it is often closely related to the definition and derivation of the …

Wide-area motion imagery (WAMI) exploitation tools for enhanced situation awareness

E Blasch, G Seetharaman… - 2012 IEEE Applied …, 2012 - ieeexplore.ieee.org
The advent of streaming feeds of full-motion video (FMV) and wide-area motion imagery
(WAMI) have overloaded an image analyst's capacity to detect patterns, movements, and …