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A knowledge-based framework for a mobile OLAP system
2015
International Journal of Decision Support Systems
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to compute a list of contextual recommendations (analysis) adapted to the capability context. ...
For that purpose, the context-aware recommender system exploits the knowledge extracted (profile in a particular situation 'contextual profile') automatically and the current user's contextual profile ...
for each contextual analysis query. • E r set is composed of attributes rarely used for each type of contextual analysis query. ...
doi:10.1504/ijdss.2015.067276
fatcat:d2oshgn4urcxbc5th3mhusvj2u
Risk factors and action thresholds for the novel coronavirus pandemic. Insights from the Italian Society of Nephrology COVID-19 Survey
2021
JN. Journal of Nephrology (Milano. 1992)
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We therefore undertook new analyses to identify explanatory factors, contextual effects, and decision rules for infection containment. ...
We investigated fixed factors and contextual effects by multilevel modeling. Classification and Regression Tree (CART) analysis was used to develop decision rules. ...
Raffaella D'Arcangelo for their secretarial assistance and for contributing to the survey data collection. Members of Italian Society of Nephrol- ...
doi:10.1007/s40620-020-00946-3
pmid:33387336
pmcid:PMC7776284
fatcat:k6xmizuagbgcnlw3awge7geojy
Object Recognition Based on the Context Aware Decision-Level Fusion in Multiviews Imagery
2015
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
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In the single view process, defining region's properties for each of the segmented regions, the object-based image analysis (OBIA) is performed independently on the individual views. ...
In the second stage, the classified objects of all views are fused together through a decision-level fusion based on the scene contextual information in order to refine the classification results. ...
ACKNOWLEDGMENT The authors would like to thank IEEE GRSS Data Fusion Technical Committee and the German Society for Photogrammetry, Remote Sensing and Geoinformation (DGPF) for providing the WorldView- ...
doi:10.1109/jstars.2014.2362103
fatcat:iicgvaheqjhybie4skrkzsoygi
From implicit learning to explicit representations
[article]
2022
arXiv
pre-print
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If the former allows to produce behavior, it is not sufficient to allow for an explicit and fine-grained manipulation. ...
The analysis of the model's internal activity reveals that the memory is actually encoded inside the dynamics of the network. ...
of contextual rules and to possibly act in a hierarchical way in the control of the other regions. ...
arXiv:2204.02484v1
fatcat:rusdx2ywxnafneceegnnd5zxoi
Brain Networks for Exploration Decisions Utilizing Distinct Modeled Information Types during Contextual Learning
2014
Neuron
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Furthermore, network-level interactions among these regions during exploratory decision making were related to learning success. ...
We modeled distinct information types available during contextual association learning and used model-based fMRI in conjunction with manipulation of exploratory decision making to identify neural activity ...
ACKNOWLEDGMENTS We thank Neal Cohen, Patrick Watson, Hillary Schwarb, and Kelly Brandstatt for helpful comments. ...
doi:10.1016/j.neuron.2014.04.028
pmid:24908493
pmcid:PMC4081497
fatcat:u4thjb3yrbftdh24i2adu7xria
A DECISION LEVEL FUSION METHOD FOR OBJECT RECOGNITION USING MULTI-ANGULAR IMAGERY
2013
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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Then, in the second stage, the initial classified regions of each individual multi-angular image are fused through a decision level fusion based on the definition of scene context. ...
In this paper, the capability of multi-angular satellite imagery is used in order to solve object recognition difficulties in complex urban areas based on decision level fusion of Object Based Image Analysis ...
This stage is composed of two main operations; pre-analysis on object classification results for all images and the decision level fusion of the multi views. ...
doi:10.5194/isprsarchives-xl-1-w3-409-2013
fatcat:3himvbkirbem3fzdrzmbd6mkpi
Supervised Techniques and Approaches for Satellite Image Classification
2016
International Journal of Computer Applications
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Remote sensing analysis paved way for satellite image classification which facilitates the image interpretation of large amount of data. ...
Remote Sensing is a multi-disciplinary technique for image acquisition and measurement of information. ...
rule for multispectral data. ...
doi:10.5120/ijca2016908202
fatcat:rdrwqdpm5zb57gzfscv25c6dqm
Modeling Contextual Knowledge for Clinical Decision Support
2018
AMIA Annual Symposium Proceedings
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In theory, the logic of decision rules should be atomic. ...
We model constraints to explicitly define the context where knowledge of decision rules is actionable. We borrowed concepts from Semantic Web, Complex Adaptive Systems, and Contextual Reasoning. ...
Rocha for her valuable expertise and insights that greatly assisted the current research. ...
pmid:29854232
pmcid:PMC5977672
fatcat:6y3azlnorzczdpv6xmhqzocw5m
Analysis Of Classification Methods For Diagnosis Of Pulmonary Nodules In CT Images
2017
IOSR Journal of Computer Engineering
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The main aim of this work is to propose a novel Computer-aided detection (CAD) system based on a Contextual clustering combined with region growing for assisting radiologists in early identification of ...
Instead of using conventional thresholding approach, this proposed work uses Contextual Clustering which yields a more accurate segmentation of the lungs from the chest volume. ...
The steps in proposed method for implementing the contextual clustering to segment the lung region from CT lung images are mentioned as follows. 1) The decision parameter T (positive) and weight of neighborhood ...
doi:10.9790/0661-1903011825
fatcat:zygpi3o64famxpdmym23zbo3ti
Patient safety: detection and prevention of adverse drug events
2009
Studies in Health Technology and Informatics
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The detection and prevention of ADE is a real challenge for hospitals and healthcare professionals. ...
support systems; the importance of Human Factors Engineering and the contextualization of knowledge. ...
As the objective of data mining is to provide decision rules for computer decision support systems, "association rules", or "decision trees" algorithms seem the most capable of providing exploitable results ...
pmid:19745457
fatcat:5icwkkwppvd2vd2djvjbndbn3a
Defining critical success factors in TOD implementation using rough set analysis
2015
Journal of Transport and Land Use
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The set of decision rules reveals that several combinations of critical success factors have been effective in achieving implementation across city-regions in different contexts. ...
As part of a metaanalysis of 11 international case studies, 16 critical success factors were developed and validated using rough set analysis. ...
In this way, local actors took these de-contextualized lessons and re-contextualized them to their own city-regions (Thomas and Bertolini, in press) . ...
doi:10.5198/jtlu.2015.513
fatcat:enaazijgxbec3mui6n6xycpr2u
Hybrid statistical pronunciation models designed to be trained by a medium-size corpus
2009
Computer Speech and Language
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The hybrids of generalized decision trees and contextual rules are designed in static and dynamic versions. ...
Here, we will have a review on data-driven approaches considering that our proposed new hybrid model technique which is a combination of decision trees and contextual rules is in the same category. ...
Honnibal for their motivating feedback and guidance in this work. ...
doi:10.1016/j.csl.2008.02.001
fatcat:kcmwbbjz6relhksnxddinqiszy
Goal-dependent modulation of declarative memory: Neural correlates of temporal recency decisions and novelty detection
2007
Neuropsychologia
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A conjunction analysis revealed that these left-lateralized regions overlapped with those previously observed to be engaged during source recollection versus novelty detection, suggesting that during Recency ...
Relative to correct Novelty decisions, correct Recency decisions elicited greater activation in a network of left-lateralized regions, including frontopolar and dorsolateral prefrontal cortex and intraparietal ...
We thank Brice Kuhl for assistance with data collection. ...
doi:10.1016/j.neuropsychologia.2007.02.025
pmid:17499318
fatcat:cx3g3pxxbjg5jgemz25njf5izm
A Soft-Rough Set Based Approach for Handling Contextual Sparsity in Context-Aware Video Recommender Systems
2019
Mathematics
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However, it is not guaranteed that, under the same contextual scenario, all the items are evaluated by users for providing dense contextual ratings. ...
This problem cause contextual sparsity in CAVRS because the influence of each contextual factor in traditional CAVRS assumes the weights of contexts homogeneously for each of the recommendations. ...
Acknowledgments: The authors gratefully acknowledge the anonymous reviewers for the constructive comments and suggestions. ...
doi:10.3390/math7080740
fatcat:qxhkmo26jrfuhfpumr2s42hugi
FORUM SHOPPING EVIDENCE IN THE WORLD TRADE ORGANIZATION: A SOCIAL NETWORK ANALYSIS OF DISPUTES BETWEEN MEMBER STATES
2019
Contextus
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As a limitation of this paper, the analysis does not allow for speculation on the importance of the product type in the forum shopping decision. ...
Turning to non-regional bodies to solve any trade conflicts does not attempt to go against regional trade rules. ...
doi:10.19094/contextus.v17i1.33949
fatcat:os4tcyzvnrbhfg7a7536hn53uy
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