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Rapid trust calibration through interpretable and uncertainty-aware AI
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 …
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
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 …
transforming the way we live and perceive technology. Today's smartphones benefit from …
Monte Carlo DropBlock for modeling uncertainty in object detection
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 …
improvement in performance. However, in many real-world applications such as …
Monte carlo dropblock for modelling uncertainty in object detection
With the advancements made in deep learning, computer vision problems like object
detection and segmentation have seen a great improvement in performance. However, in …
detection and segmentation have seen a great improvement in performance. However, in …
Revisiting the JDL model for information Exploitation
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 …
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
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 …
as an integral component of Intelligent Transportation Systems. Crash avoidance and …
URREF reliability versus credibility in information fusion (STANAG 2511)
For many operational information fusion systems, both reliability and credibility are
evaluation criteria for collected information. The Uncertainty Representation and Reasoning …
evaluation criteria for collected information. The Uncertainty Representation and Reasoning …
Context aided video-to-text information fusion
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 …
over multimodal collections, and estimation in space. There exist many methods for object …
Performance evaluation metrics and approaches for target tracking: A survey
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 …
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
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 …
(WAMI) have overloaded an image analyst's capacity to detect patterns, movements, and …