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Extracting the Groupwise Core Structural Connectivity Network: Bridging Statistical and Graph-Theoretical Approaches [article]

Nahuel Lascano, Rachid Deriche
2017 arXiv   pre-print
In this work, we present a new algorithm for computing the core structural connectivity network of a subject sample combining graph theory and statistics.  ...  We analyze the problem theoretically and prove its complexity.  ...  Acknowledgements Authors acknowledge funding from ERC Advanced Grant agreement No 694665 : CoBCoM -Computational Brain Connectivity Mapping  ... 
arXiv:1701.01311v3 fatcat:i3pee6kefvhpjoryllrkpzuoou

Extracting the Groupwise Core Structural Connectivity Network: Bridging Statistical and Graph-Theoretical Approaches [chapter]

Nahuel Lascano, Guillermo Gallardo-Diez, Rachid Deriche, Dorian Mazauric, Demian Wassermann
2017 Lecture Notes in Computer Science  
In this work, we present a new algorithm for computing the core structural connectivity network of a subject sample combining graph theory and statistics.  ...  We analyze the problem theoretically and prove its complexity.  ...  Acknowledgements Authors acknowledge funding from ERC Advanced Grant agreement No 694665 : CoBCoM -Computational Brain Connectivity Mapping  ... 
doi:10.1007/978-3-319-59050-9_30 fatcat:72h7ba6bx5hq3ciqgsl5ghskre

Unsupervised Domain-adaptive Hash for Networks [article]

Tao He, Lianli Gao, Jingkuan Song, Yuan-Fang Li
2021 arXiv   pre-print
Specifically, we develop four task-specific yet correlated components: (1) network structure preservation via a hard groupwise contrastive loss, (2) relaxation-free supervised hashing, (3) cross-domain  ...  However, it has not been applied to multiple-domain networks. In this work, we bridge this gap by developing an unsupervised domain-adaptive hash learning method for networks, dubbed UDAH.  ...  The core goal of autoencoders is to bridge the gap between the input and output by an encoder and a decoder, where the encoder aims to project the input data into a latent space by nonlinear mapping functions  ... 
arXiv:2108.09136v1 fatcat:duabx2ddrjdenn6j4llrmcrywi

Changes in Community Structure of Resting State Functional Connectivity in Unipolar Depression

Anton Lord, Dorothea Horn, Michael Breakspear, Martin Walter, Yu-Feng Zang
2012 PLoS ONE  
These data were anatomically parcellated and functional connectivity matrices were then derived using the linear correlations between the BOLD signal fluctuations of all pairs of cortical and subcortical  ...  We employed network-based analyses of "resting state" functional neuroimaging data to ascertain group differences in the endogenous cortical activity between healthy and depressed subjects.  ...  The other graph-theoretical metrics require the underlying globally connected networks to be rendered sparse through thresholding.  ... 
doi:10.1371/journal.pone.0041282 pmid:22916105 pmcid:PMC3423402 fatcat:5zux7etj7jbhbpjjww6xycraja

Functional Dysconnection of the Inferior Frontal Gyrus in Young People With Bipolar Disorder or at Genetic High Risk

Gloria Roberts, Anton Lord, Andrew Frankland, Adam Wright, Phoebe Lau, Florence Levy, Rhoshel K. Lenroot, Philip B. Mitchell, Michael Breakspear
2017 Biological Psychiatry  
We performed betweengroup analyses of the functional connectivity of the left IFG and used graph theory to study its local functional network topology.  ...  A small network incorporating neighboring insular regions and the anterior cingulate cortex showed weaker functional connectivity in at-risk than control participants (p , .006).  ...  ACKNOWLEDGMENTS AND DISCLOSURES  ... 
doi:10.1016/j.biopsych.2016.08.018 pmid:28031150 fatcat:6uvlmm4ggvb75nlgvqdbfqfsre

Deep sr-DDL: Deep Structurally Regularized Dynamic Dictionary Learning to Integrate Multimodal and Dynamic Functional Connectomics data for Multidimensional Clinical Characterizations [article]

Niharika Shimona D'Souza, Mary Beth Nebel, Deana Crocetti, Nicholas Wymbs, Joshua Robinson, Stewart H. Mostofsky, Archana Venkataraman
2020 arXiv   pre-print
The generative component is a structurally-regularized Dynamic Dictionary Learning (sr-DDL) model that decomposes the dynamic rs-fMRI correlation matrices into a collection of shared basis networks and  ...  Our joint optimization strategy collectively estimates the basis networks, the subject-specific time-varying loadings, and the neural network weights.  ...  and R01 MH106564), the National Institute of Neurological Disorders and Stroke (R01NS048527-08), and the Autism Speaks foundation.  ... 
arXiv:2008.12410v1 fatcat:54f6z2o2krevtkiq53eboldnce

NNR-GL: A Measure to Detect Co-nonlinearity Based on Neural Network Regression Regularized by Group Lasso

Miho Ohsaki, Naoya Kishimoto, Hayato Sasaki, Ryoji Ikeura, Shigeru Katagiri, Kei Ohnishi, Yakub Sebastian, Patrick Then
2021 IEEE Access  
GL can solve this problem by grouping edges connected to the same neuron and adjusting the weights groupwise.  ...  FORMULATION AND DEFINITION We formulate the model structure, objective function, and optimization of NNR-GL Core in Function 1.  ...  He is also the director of the Centre for Digital Futures Swinburne Sarawak, a fellow of the Society for Design and Process Science USA, and a senior member of the Australian Computer Society.  ... 
doi:10.1109/access.2021.3111105 fatcat:wgwpg2m6szcjfnw7rsavpkzil4

Computing environments for spatial data analysis

Luc Anselin
2000 Journal of Geographical Systems  
as Avenue for ArcView and MapBasic for MapInfo) sometimes preclude the use of the most efficient algorithms or data structures for the statistical computations.  ...  models. 1 While these extensions maintain the familiar look-and-feel of the GIS or the statistical software, a drawback of the encompassing approach is that peculiarities of the scripting languages (such  ...  National Science Foundation grants SES 88-10917 (to the National Center for Geographic Information and Analysis), SBR 94-10612, and BCS 99-78058 (to the Center for Spatially Integrated Social Science).  ... 
doi:10.1007/pl00011455 fatcat:numi5ah67zgv3nnxf5q6mknq5e

Semantic Similarity from Natural Language and Ontology Analysis

Sébastien Harispe, Sylvie Ranwez, Stefan Janaqi, Jacky Montmain
2015 Synthesis Lectures on Human Language Technologies  
The two state-of-the-art approaches for estimating and quantifying semantic similarities/relatedness of semantic entities are presented in detail: the first one relies on corpora analysis and is based  ...  on Natural Language Processing techniques and semantic models while the second is based on more or less formal, computer-readable and workable forms of knowledge such as semantic networks, thesaurus or  ...  This approach extracts features of concepts from the graph.  ... 
doi:10.2200/s00639ed1v01y201504hlt027 fatcat:y3tbtmwwqbhydeuaf2dlqk62ui

Semantic Measures for the Comparison of Units of Language, Concepts or Instances from Text and Knowledge Base Analysis [article]

Sébastien Harispe, Sylvie Ranwez, Stefan Janaqi, Jacky Montmain
2016 arXiv   pre-print
Semantic measures generalize the well-known notions of semantic similarity, semantic relatedness and semantic distance, which have been extensively studied by various communities over the last decades  ...  (e.g., Cognitive Sciences, Linguistics, and Artificial Intelligence to mention a few).  ...  The Structural Approach SMs based on the structural approach compare the elements defined in the graph through the study of the structure of the graph induced by its relationships.  ... 
arXiv:1310.1285v3 fatcat:z2eipgghvvd7fawumejfnz4poa

Generalizing from a Few Examples: A Survey on Few-Shot Learning [article]

Yaqing Wang and Quanming Yao and James Kwok and Lionel M. Ni
2020 arXiv   pre-print
We then point out that the core issue in FSL is that the empirical risk minimized is unreliable.  ...  With this taxonomy, we review and discuss the pros and cons of each category.  ...  ACKNOWLEDGMENTS This research is partially done in 4Paradigm Inc. when Yaqing Wang took the internship.  ... 
arXiv:1904.05046v3 fatcat:t3ipecry4vc2thzdu6sv65epwa

Computer-Assisted Analysis of Biomedical Images [article]

Leonardo Rundo
2021 arXiv   pre-print
In this regard, frameworks based on advanced Machine Learning and Computational Intelligence can significantly improve traditional Image Processing and Pattern Recognition approaches.  ...  In particular, quantitative imaging methods convey scientifically and clinically relevant information in prediction, prognosis or treatment response assessment, by also considering radiomics approaches  ...  The graph is assumed to be connected and undirected (i.e., w i j = w ji ).  ... 
arXiv:2106.04381v1 fatcat:osqiyd3sbja3zgrby7bf4eljfm

2020 Index IEEE Transactions on Vehicular Technology Vol. 69

2020 IEEE Transactions on Vehicular Technology  
Revocable Data-Sharing Scheme in VANETs; TVT Dec. 2020 15933-15946 Hoseini, S.A., Ding, M., Hassan, M., and Chen, Y., Analyzing the Impact of Molecular Re-Radiation on the MIMO Capacity in High-Frequency  ...  + Check author entry for coauthors ami-mFading Channels With Integer and Non-Integerm; TVT March 2020 2785-2801 Hoang, T.M., Tran, X.N., Nguyen, B.C., and Dung, L.T., On the Performance of MIMO Full-Duplex  ...  Mean-Field Game Theoretic Edge Caching in Ultra-Dense Networks. Kim, H., +, TVT Jan. 2020 935-947 Millimeter-Wave Base Station Deployment Using the Scenario Sampling Approach.  ... 
doi:10.1109/tvt.2021.3055470 fatcat:536l4pgnufhixneoa3a3dibdma

Collaborative Authoring of Walden's Paths [chapter]

Yuanling Li, Paul Logasa Bogen, Daniel Pogue, Richard Furuta, Frank Shipman
2012 Lecture Notes in Computer Science  
From the perspective of educators, the authoring tool allows educators to collaboratively build a Walden's Path by filtering and organizing web pages into an ordered linear structure for the common information  ...  The collaborative authoring prototype of Walden's Paths targets two groups of users: educators and learners.  ...  approaches of web resource sharing, according to the interviewees, are email, bookmark and social network.  ... 
doi:10.1007/978-3-642-33290-6_52 fatcat:qodl6duyxbcftfjz6cotmmaa5a

A combined local and global motion estimation and compensation method for cardiac CT

Qiulin Tang, Beshan Chiang, Akinola Akinyemi, Alexander Zamyatin, Bibo Shi, Satoru Nakanishi, Bruce R. Whiting, Christoph Hoeschen
2014 Medical Imaging 2014: Physics of Medical Imaging  
Particularly, the semi-supervised clustering is implemented as a graph partition problem by modeling each voxel as one node of the graph and connecting each pair of voxels with an edge weighted by a similarity  ...  These methods build a graph with nodes at each voxel location, and edges connecting the nodes encoding constraints for each layer's thickness and smoothness.  ...  This can be extended to classify the tissue as cancerous or non-cancerous and even predict the grade of the cancer.  ... 
doi:10.1117/12.2043492 fatcat:fyzpc5m6jbh7fjohqpdmtzkhte
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