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From ``Identical'' to ``Similar'': Fusing Retrieved Lists Based on Inter-Document Similarities

A. Khudyak Kozorovitsky, O. Kurland
2011 The Journal of Artificial Intelligence Research  
We present a novel fusion approach that is based on using, in addition, information induced from inter-document similarities.  ...  We use a graph-based method to model relevance-status propagation between documents. The propagation is governed by inter-document-similarities and by retrieval scores of documents in the lists.  ...  This paper is based upon work supported in part by the Israel Science Foundation under grant no. 557/09, and by IBM's SUR award.  ... 
doi:10.1613/jair.3214 fatcat:aoqjbr7fivdztncvusdopxqwau

A Topic Model Approach to Multi-Modal Similarity [article]

Rasmus Troelsgård, Bjørn Sand Jensen, Lars Kai Hansen
2014 arXiv   pre-print
We propose to compare the resulting similarities from different model realizations using the non-parametric Mantel test. The approach is evaluated on a music dataset.  ...  We use a multi-modal topic model as a basis for defining such a similarity between objects.  ...  Furthermore, topic model induced similarities among documents have been put to use in a navigation application [6] , and different similarity estimates are also discussed in relation to a content-based  ... 
arXiv:1405.6886v1 fatcat:n42ithugljge7jm7ytrnqzs2la

DeepSSN: a deep convolutional neural network to assess spatial scene similarity [article]

Danhuai Guo, Shiyin Ge, Shu Zhang, Song Gao, Ran Tao, Yangang Wang
2022 arXiv   pre-print
However, traditional sketch-based spatial search methods perform insufficiently due to their inability to find hidden multi-scale map features from mental sketches.  ...  This research advances geographic information retrieval studies by introducing a novel deep learning method tailored to spatial scene queries.  ...  ACKNOWLEDGMENT The authors would like to thank Jake Kruse (University of Wisconsin-Madison) for his help on polishing the language of this paper.  ... 
arXiv:2202.04755v1 fatcat:54inuftfzjfbnd7tfm2he3ug7q

Similarity methods in chemoinformatics

Peter Willett
2009 Annual Review of Information Science and Technology  
retrieved, although there were differences in the identities of the actives retrieved by the two approaches.  ...  structure: only if this is the case will a particular similarity measure be useful for virtual screening (in much the same way as an effective IR procedure is one that is able to retrieve relevant documents  ... 
doi:10.1002/aris.2009.1440430108 fatcat:3spez43we5bthe7nfzy45c3kka

Similarity Based Object Retrieval of Composite Neuronal Structures [article]

Florian Schulze, Martin Trapp, Katja Bühler, Tianxiao Lui, Barry Dickson
2012 Eurographics Workshop on 3D Object Retrieval, EG 3DOR  
To enable similarity based retrieval of neuronal objects we defined together with domain experts tailored dissimilarity measures for each of the three typical neuronal sub structures cell body, projection  ...  Circuit Neuroscience tries to solve one of the most challenging questions in biology: How does the brain work?  ...  Data collections and studies in neuroscience are often inter subject, i.e. aim at fusing information from data retrieved from different individuals to a common atlas.  ... 
doi:10.2312/3dor/3dor12/001-008 fatcat:5ad6uq7pnra4zhuimdqssylrry

How to measure information similarity in online social networks: A case study of Citeulike

Danielle H. Lee, Peter Brusilovsky
2017 Information Sciences  
The results demonstrate that, instead of focusing on monotonous bookmark-based similarities, it is significantly better to zero in on more cognitively expressible metadata-based similarities in accounting  ...  Then, we computed the effectiveness of various similarity measures in their capabilities to estimate the shared interests.  ...  This is why the measures based on co-bookmarking identical items performed much worse than metadata-based measures.  ... 
doi:10.1016/j.ins.2017.07.034 fatcat:6x2kejcbj5cznaxz6ou42rri5y

Semantic similarity based trust computation in websites

Hicham Ibrahim, Pradeep K. Atrey, Abdulmotaleb El Saddik
2007 Workshop on multimedia information retrieval on The many faces of multimedia semantics - MS '07  
measure from the Similarity Process, and computes new trust level based on previous trust level, which is also retrieved from the database.  ...  both methods are identical or very similar.  ...  This tendency could be explained by a certain difficulty in the finding of relevant articles (i.e. articles relevant between each other) for comparisons in the study due to the limited health information  ... 
doi:10.1145/1290067.1290079 dblp:conf/mm/IbrahimAE07 fatcat:i5kpuh5wqnazxg2g2zqgmwfdz4

A hierarchical knowledge-based approach for retrieving similar medical images described with semantic annotations

Camille Kurtz, Christopher F. Beaulieu, Sandy Napel, Daniel L. Rubin
2014 Journal of Biomedical Informatics  
It is based on two main steps: (1) annotation of the images with semantic terms extracted from an ontology, and (2) evaluation of the similarity of image pairs by computing the similarity between the terms  ...  We propose a new framework that includes semantic features in images and that enables retrieval of similar images in large databases based on their semantic relations.  ...  Acknowledgments The authors would like to thank Jarrett Rosenberg for his useful help on statistical evaluations.  ... 
doi:10.1016/j.jbi.2014.02.018 pmid:24632078 pmcid:PMC4058405 fatcat:movcgiinojdkpoiwemrx4oopai

Medical image retrieval with probabilistic multi-class support vector machine classifiers and adaptive similarity fusion

Md. Mahmudur Rahman, Bipin C. Desai, Prabir Bhattacharya
2008 Computerized Medical Imaging and Graphics  
We also propose an adaptive similarity fusion approach based on a linear combination of individual feature level similarities.  ...  Our results demonstrate the effectiveness of the proposed framework as compared to the commonly used approaches based on low-level feature descriptors.  ...  We would like to thank TM Lehmann, Department of Medical Informatics, RWTH Aachen, Germany [15] , for making the database available for the experiments and C.C. Chang and C.J.  ... 
doi:10.1016/j.compmedimag.2007.10.001 pmid:18037271 fatcat:legkecovjzhmdhpbuvqkaym7oi

FuSe: A tool to move RNA-Seq analyses from chromosomal/gene loci to functional grouping of mRNA transcripts

Rajinder Gupta, Yannick Schrooders, Marcha Verheijen, Adrian Roth, Jos Kleinjans, Florian Caiment, Yann Ponty
2020 Bioinformatics  
We propose to improve RNA-Seq analyses by grouping the transcripts based on their similar functions.  ...  We developed FuSe to predict functional similarities using the primary and secondary structure of proteins.  ...  Acknowledgements A special thanks to Dr. Terezinha de Souza, Juan Ochoteco Asensio, Tim Kuijpers, and Nhan Nguyen for their help in testing FuSe.  ... 
doi:10.1093/bioinformatics/btaa735 pmid:32814975 pmcid:PMC8058771 fatcat:25awezngezgyrj5visgxlu5xoq

Unsupervised Event Graph Representation and Similarity Learning on Biomedical Literature

Giacomo Frisoni, Gianluca Moro, Giulio Carlassare, Antonella Carbonaro
2021 Sensors  
To this end, our solution compares events against a small set of anchor ones, trains cross-graph attention networks for drawing pairwise alignments (bolstering interpretability), and employs transformer-based  ...  Extensive experiments have been done on nine biomedical datasets.  ...  then fused by a small network for similarity prediction.  ... 
doi:10.3390/s22010003 pmid:35009544 pmcid:PMC8747118 fatcat:zghkmzt3wnf27cvh2p5tcvrvei

From cartoons to quantitative models in Golgi transport [article]

D. Nicolas Quiros, Luis S. Mayorga
2020 bioRxiv   pre-print
In this report, we show that schematic drawings of Golgi trafficking can be easily translated into an Agent-Based Model (ABM) using the Repast platform.  ...  The simulations can be used to address issues directly linked to the mechanism of transport or as a way to incorporate the complexity of trafficking to other cellular processes that occur in dynamic organelles  ...  and fuse with the following one in the cis-to-trans direction.  ... 
doi:10.1101/2020.05.13.094383 fatcat:vyrbbwzyzvbujf4wubdshudpm4

BERT for Conversational Question Answering Systems Using Semantic Similarity Estimation

Abdulaziz Al-Besher, Kailash Kumar, M. Sangeetha, Tinashe Butsa
2022 Computers Materials & Continua  
Semantic Similarity Estimation is based on relating user's questions to the context from previous Conversational Search Systems (CSS) to provide answers without requesting the user's context.  ...  This model shows the ability to use the limited information in user queries for best context inferences based on Closed-Domain-based CS and Bidirectional Encoder Representations from Transformers for textual  ...  Like humans, CSS must learn to identify closely related or highly similar questions to refer historical context based on the question similarity.  ... 
doi:10.32604/cmc.2022.021033 fatcat:wm34anpztzhm5k7q4di2jsxkyi

From Lifestyle Vlogs to Everyday Interactions [article]

David F. Fouhey and Wei-cheng Kuo and Alexei A. Efros and Jitendra Malik
2017 arXiv   pre-print
Most past efforts have gathered this data explicitly: starting with a laundry list of action labels, and then querying search engines for videos tagged with each label.  ...  We show that by collecting the data first, we are able to achieve greater scale and far greater diversity in terms of actions and actors.  ...  and fused by 3 convolutional layers to predict hand segmentation.  ... 
arXiv:1712.02310v1 fatcat:s2iewypsobgiznlaprcezbl3oa

The role of knowledge in determining identity of long-tail entities

Filip Ilievski, Eduard Hovy, Piek Vossen, Stefan Schlobach, Qizhe Xie
2020 Journal of Web Semantics  
How can one fill knowledge gaps when these cannot be distilled directly from communication nor retrieved from existing knowledge bases?  ...  Most similar to profiling, the method in [38] estimates a property of a longtail entity based on the community/ies it belongs to, assuming that each entity's property values are shared with others from  ... 
doi:10.1016/j.websem.2020.100565 fatcat:ral6zwvga5d3fojgtldtjxbmdi
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