Results 71 to 80 of about 4,294,534 (298)

Adding a Degree of Certainty to Deductions in a Fuzzy Temporal Constraint Prolog: FTCProlog

Axioms
The management of time is essential in most AI-related applications. In addition, we know that temporal information is often not precise. In fact, in most cases, it is necessary to deal with imprecision and/or uncertainty. On the other hand, there is the
María-Antonia Cárdenas-Viedma
doaj   +1 more source

Learning Latent Relations for Temporal Knowledge Graph Reasoning

Annual Meeting of the Association for Computational Linguistics, 2023
Temporal Knowledge Graph (TKG) reasoning aims to predict future facts based on historical data. However, due to the limitations in construction tools and data sources, many important associations between entities may be omitted in TKG.
Mengqi Zhang, Yuwei Xia, Q. Liu, Shu Wu, Liang Wang   +4 more
semanticscholar   +1 more source

Elevated Connectivity During Language Processing Is Associated With Cognitive Performance in SeLECTS

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Self‐Limited Epilepsy with Centrotemporal Spikes (SeLECTS) is associated with language impairments despite seizures originating in the motor cortex, suggesting aberrant cross‐network interactions. Here we tested whether functional connectivity in SeLECTS during language tasks predicts language performance.
Wendy Qi, Katharine Lee, Kerry C. Nix, Miguel Menchaca, Xiwei Shé, Lorelei Santa Maria, Wei Wu, Zihuai He, Fiona M. Baumer   +8 more
wiley   +1 more source

A Temporal Ontology for Reasoning about Actions [PDF]

, 2012
In this paper our work is devoted to systematic study of actions theories by using a logical formalism based on a first order language increased by operators whose main is to facilitate the representation of causal and temporal relationships between ...
Dr. Fatiha Mamache
core  

Joint Multi-Facts Reasoning Network for Complex Temporal Question Answering Over Knowledge Graph [PDF]

IEEE International Conference on Acoustics, Speech, and Signal Processing
Temporal Knowledge Graph (TKG) is an extension of regular knowledge graph by attaching the time scope. Existing temporal knowledge graph question answering (TKGQA) models solely approach simple questions, owing to the prior assumption that each question ...
Rikui Huang, Wei Wei, Xiaoye Qu, Wenfeng Xie, Xianling Mao, Dangyang Chen   +5 more
semanticscholar   +1 more source

Acute Kidney Injury After Mechanical Thrombectomy for Stroke in Patients With Pre‐Existing Renal Impairment

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objectives Acute kidney injury (AKI) is a common but often underrecognized complication in ischemic stroke patients undergoing mechanical thrombectomy, particularly among those with pre‐existing renal impairment. This study evaluated the incidence, risk factors, and clinical impact of AKI in this high‐risk population.
Michał Borończyk, Marcel Pilarek, Emilia Jaworska, Natalia Kardas, Oliwia Barnaś, Julia Woźniak, Iga Machała, Julia Węgrzynek‐Gallina, Joanna Siuda, Anna Hawrot‐Kawecka, Anetta Lasek‐Bal   +10 more
wiley   +1 more source

A Reasoner for Calendric and Temporal Data [PDF]

, 2005
Calendric and temporal data are omnipresent in countless Web and Semantic Web applications and Web services. Calendric and temporal data are probably more than any other data a subject to interpretation, in almost any case depending on some cultural ...
Spranger, Stephanie, Bry, François, Rieß, Frank-André   +2 more
core   +1 more source

Improved Interpretability Without Performance Reduction in a Sepsis Prediction Risk Score

Diagnostics
Objective: Sepsis is a life-threatening response to infection and a major cause of hospital mortality. Machine learning (ML) models have demonstrated better sepsis prediction performance than integer risk scores but are less widely used in clinical ...
Adam Kotter, Samir Abdelrahman, Yi-Ki Jacob Wan, Karl Madaras-Kelly, Keaton L. Morgan, Chin Fung Kelvin Kan, Guilherme Del Fiol   +6 more
doaj   +1 more source

Computational modeling of human reasoning processes for interpretable visual knowledge: a case study with radiographers

Scientific Reports, 2020
Visual reasoning is critical in many complex visual tasks in medicine such as radiology or pathology. It is challenging to explicitly explain reasoning processes due to the dynamic nature of real-time human cognition.
Yu Li, Hongfei Cao, Carla M. Allen, Xin Wang, Sanda Erdelez, Chi-Ren Shyu   +5 more
doaj   +1 more source

White Matter Hyperintensity Burden and Short‐Interval Change Associated With Sleep Apnoea in the UK Biobank

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background and Purpose White matter hyperintensities (WMH) are a core neuroimaging marker of cerebral small vessel disease (CSVD). Sleep apnoea (SA) is a recognized vascular risk factor, but its associations with regional WMH burden, short‐interval WMH change and cognitive performance in population‐based cohorts remain incompletely defined. We
Peng Cheng, Diego Z. Carvalho, Shahid Karim, Anwar Chahal, Virend K. Somers   +4 more
wiley   +1 more source