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A knowledge-based framework for a mobile OLAP system

Nachida Rezoug, Omar Boussaid, Fahima Nader
2015 International Journal of Decision Support Systems  
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

Maurizio Nordio, the Italian Society of Nephrology COVID-19 Research Group, Gianpaolo Reboldi, Anteo Di Napoli, Giuseppe Quintaliani, Federico Alberici, Maurizio Postorino, Filippo Aucella, Piergiorgio Messa, Giuliano Brunori
2021 JN. Journal of Nephrology (Milano. 1992)  
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

Fatemeh Tabib Mahmoudi, Farhad Samadzadegan, Peter Reinartz
2015 IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing  
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]

Naomi Chaix-Eichel and Snigdha Dagar and Quentin Lanneau and Karen Sobriel and Thomas Boraud and Frédéric Alexandre and Nicolas P. Rougier
2022 arXiv   pre-print
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

Jane X. Wang, Joel L. Voss
2014 Neuron  
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

F. Tabib Mahmoudi, F. Samadzadegan, P. Reinartz
2013 The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences  
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

Minu Nair, Bindhu J.S.
2016 International Journal of Computer Applications  
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

Margarita Sordo, Priyaranjan Tokachichu, Christopher J Vitale, Saverio M Maviglia, Roberto A Rocha
2018 AMIA Annual Symposium Proceedings  
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

Capt. Dr. S.Santhosh Baboo, E. Iyyapparaj
2017 IOSR Journal of Computer Engineering  
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

Régis Beuscart, Peter McNair, Stéfan J Darmoni, Vassilis Koutkia, Nicos Maglaveras, Marie-Catherine Beuscart-Zephir, Christian Nohr, PSIP Project Consortium
2009 Studies in Health Technology and Informatics  
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

Ren Thomas, Luca Bertolini
2015 Journal of Transport and Land Use  
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

Bahram Vazirnezhad, Farshad Almasganj, Seyed Mohammad Ahadi
2009 Computer Speech and Language  
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

Nicole M. Dudukovic, Anthony D. Wagner
2007 Neuropsychologia  
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

Syed Manzar Abbas, Khubaib Amjad Alam, Shahaboddin Shamshirband
2019 Mathematics  
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

Kenyth Alves de Freitas, Bruno De Almeida Vilela, Rui Fernando Correia Ferreira, André Edson Ribeiro de Souza Aprigio
2019 Contextus  
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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