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TempReasoner: neural temporal graph networks for event timeline construction [PDF]
Scientific ReportsConstructing event timelines from unstructured temporal data is a fundamental challenge for knowledge extraction and reasoning systems. Existing temporal reasoning methods face challenges in jointly modelling fine-grained temporal dependencies, sparse ...
Mohammed Aldawsari
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Internet Archaeology, 2023 Summary Illustration showing archaeological stratigraphic laws and principles Illustration of archaeological stratigraphic laws and principles. Taken from What is The Matrix? How do archaeologists use stratigraphy?
Keith May, James S. Taylor, Ceri Binding
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The Matrix: Connecting Time and Space in Archaeological Stratigraphic Records and Archives
Internet Archaeology, 2020 The records of archaeological stratigraphic data and the relationships between stratigraphic units are fundamental to understanding the overall cohesiveness of the archaeological archive of an excavation.
Keith May
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A Novel Spatio-Temporal-Wise Network for Action Recognition
IEEE Access, 2023 Action recognition is a challenging task that requires understanding the temporal relationships between frames. However, capturing and processing spatio-temporal and motion features is computationally expensive, making it difficult to apply to practical ...
Zhengbao Cai
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Quantitative temporal reasoning [PDF]
Real-Time Systems, 1992 A substantially large class of programs operate in distributed and real-time environments, and an integral part of their correctness specification requires the expression of time-critical properties that relate the occurrence of events of the system. We focus on the formal specification and reasoning about the correctness of such programs. We propose a
E. Allen Emerson +3 more
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Frontiers in Education, 2023 Multimorbidity is defined as the co-existence of two or more chronic diseases in a patient, and it is increasing in prevalence. This condition poses new problems for clinical reasoning.
Fabrizio Consorti +6 more
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Predicting Crime and Other Uses of Neural Networks in Police Decision Making
Frontiers in Psychology, 2021 Neural networks are a machine learning method that excel in solving classification and forecasting problems. They have also been shown to be a useful tool for working with big data oriented environments such as law enforcement.
Steven Walczak
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Temporal disambiguation of relative temporal expressions in clinical texts
Frontiers in Research Metrics and Analytics, 2022 Temporal expression recognition and normalization (TERN) is the foundation for all higher-level temporal reasoning tasks in natural language processing, such as timeline extraction, so it must be performed well to limit error propagation.
Amy L. Olex +2 more
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An Efficient Algorithm for the Maximum Distance Problem [PDF]
Discrete Mathematics & Theoretical Computer Science, 2001 Efficient algorithms for temporal reasoning are essential in knowledge-based systems. This is central in many areas of Artificial Intelligence including scheduling, planning, plan recognition, and natural language understanding. As such, scalability is a
Gabrielle Assunta Grün
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Learning joints relation graphs for video action recognition
Frontiers in Neurorobotics, 2022 Previous video action recognition mainly focuses on extracting spatial and temporal features from videos or capturing physical dependencies among joints. The relation between joints is often ignored.
Xiaodong Liu, Huating Xu, Miao Wang
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