Conferences related to Information Retrieval

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2023 Annual International Conference of the IEEE Engineering in Medicine & Biology Conference (EMBC)

The conference program will consist of plenary lectures, symposia, workshops and invitedsessions of the latest significant findings and developments in all the major fields of biomedical engineering.Submitted full papers will be peer reviewed. Accepted high quality papers will be presented in oral and poster sessions,will appear in the Conference Proceedings and will be indexed in PubMed/MEDLINE.


2020 IEEE 23rd International Conference on Information Fusion (FUSION)

The International Conference on Information Fusion is the premier forum for interchange of the latest research in data and information fusion, and its impacts on our society. The conference brings together researchers and practitioners from academia and industry to report on the latest scientific and technical advances.


2020 IEEE Applied Power Electronics Conference and Exposition (APEC)

APEC focuses on the practical and applied aspects of the power electronics business. Not just a power designer’s conference, APEC has something of interest for anyone involved in power electronics including:- Equipment OEMs that use power supplies and converters in their equipment- Designers of power supplies, dc-dc converters, motor drives, uninterruptable power supplies, inverters and any other power electronic circuits, equipments and systems- Manufacturers and suppliers of components and assemblies used in power electronics- Manufacturing, quality and test engineers involved with power electronics equipment- Marketing, sales and anyone involved in the business of power electronic- Compliance engineers testing and qualifying power electronics equipment or equipment that uses power electronics


2020 International Symposium on Information Theory and Its Applications (ISITA)

The scope of the symposium includes all aspects of information theory and its applications. Itcovers a wide range of topics such as Shannon Theory, Coding Theory, and InformationSecurity as well as novel applications of information theory.

  • 2018 International Symposium on Information Theory and Its Applications (ISITA)

    The scope of the symposium includes all aspects of information theory and its applications. It covers a wide range of topics such as Shannon Theory, Coding Theory, and Information Security as well as novel applications of information theory.

  • 2016 International Symposium on Information Theory and Its Applications (ISITA)

    The scope of the symposium includes all aspects of information theory and its applications. It covers a wide range of topics such as Shannon Theory, Coding Theory, and Information Security as well as novel applications of information theory.

  • 2014 International Symposium on Information Theory and its Applications (ISITA)

    The ISITA symposium features world-class speakers, plenary talks and technical sessions on a diverse range of topics within the field of information theory Interested authors are invited to submit papers describing novel and previously unpublished results on topics in information theory and its applications, including, but not limited to: Error Control Coding, Coded Modulation, Communication Systems, Detection and EstimationSpread Spectrum Systems, Signal Processing, Rate-Distortion Theory, Stochastic Processes, Network Coding, Shannon Theory, Coding Theory and Practice, Data Compression and Source Coding, Data Storage, Mobile Communications, Pattern Recognition and Learning, Speech/Image Coding, Multi-Terminal Information Theory, Cryptography and Data Security, Applications of Information Theory, and Quantum Information Theory.

  • 2012 International Symposium on Information Theory and its Applications (ISITA)

    The scope of this symposium includes all aspects of information theory and its applications. It covers a wide range of topics such as Shannon Theory, Coding Theory, and Cryptology as well as novel applications of Information Theory.

  • 2010 International Symposium On Information Theory & Its Applications (Isita2010)

    The topics of interest include Error Control Coding, Coding Theory and Practice, Coded Modulation, Data Compression and Source Coding, Pattern Recognition and Learning, Speech/Image Coding, Rate-Distortion Theory, Shannon Theory, Stochastic Processes, Cryptology and Data Security, Data Networks, Multi-User Information Theory, Quantum Information Processing

  • 2008 International Symposium on Information Theory and its Applications (ISITA)

    The scope is Information theory and its Applications, e.g., error control coding, Coded Modulation, Cummunication systems, Detection and estimation, Spread spectrum systems, Signal processing, Rate-distortion theory, Stochastic processes, Data networks, Multi-user information theory, Coding theory and Practice, Data compression and Source coding, Optical communications, Mobile communications, Pattern recognition and learning, Speech/Image Coding, Shannon Theory, Cryptograph and Data Securi


ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

The ICASSP meeting is the world's largest and most comprehensive technical conference focused on signal processing and its applications. The conference will feature world-class speakers, tutorials, exhibits, and over 50 lecture and poster sessions.


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Periodicals related to Information Retrieval

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Aerospace and Electronic Systems Magazine, IEEE

The IEEE Aerospace and Electronic Systems Magazine publishes articles concerned with the various aspects of systems for space, air, ocean, or ground environments.


Audio, Speech, and Language Processing, IEEE Transactions on

Speech analysis, synthesis, coding speech recognition, speaker recognition, language modeling, speech production and perception, speech enhancement. In audio, transducers, room acoustics, active sound control, human audition, analysis/synthesis/coding of music, and consumer audio. (8) (IEEE Guide for Authors) The scope for the proposed transactions includes SPEECH PROCESSING - Transmission and storage of Speech signals; speech coding; speech enhancement and noise reduction; ...


Circuits and Systems for Video Technology, IEEE Transactions on

Video A/D and D/A, display technology, image analysis and processing, video signal characterization and representation, video compression techniques and signal processing, multidimensional filters and transforms, analog video signal processing, neural networks for video applications, nonlinear video signal processing, video storage and retrieval, computer vision, packet video, high-speed real-time circuits, VLSI architecture and implementation for video technology, multiprocessor systems--hardware and software-- ...


Communications Magazine, IEEE

IEEE Communications Magazine was the number three most-cited journal in telecommunications and the number eighteen cited journal in electrical and electronics engineering in 2004, according to the annual Journal Citation Report (2004 edition) published by the Institute for Scientific Information. Read more at http://www.ieee.org/products/citations.html. This magazine covers all areas of communications such as lightwave telecommunications, high-speed data communications, personal communications ...


Computational Biology and Bioinformatics, IEEE/ACM Transactions on

Specific topics of interest include, but are not limited to, sequence analysis, comparison and alignment methods; motif, gene and signal recognition; molecular evolution; phylogenetics and phylogenomics; determination or prediction of the structure of RNA and Protein in two and three dimensions; DNA twisting and folding; gene expression and gene regulatory networks; deduction of metabolic pathways; micro-array design and analysis; proteomics; ...


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Most published Xplore authors for Information Retrieval

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Xplore Articles related to Information Retrieval

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IEE Colloquium on 'Parallel Techniques for Information Retrieval' (Digest No.54)

IEE Colloquium on Parallel Techniques for Information Retrieval, 1989

None


Expoliting rich features for promoting diversity in biomedical information retrieval

2013 IEEE International Conference on Bioinformatics and Biomedicine, 2013

Prompting diversity in ranking for information retrieval (IR) becomes an important topic in the past decade [2], [4] because of the increasing demand of personalization and disambiguation of user's queries. Beyond counting on relevance between documents and query, diversity IR takes consideration of relationship among documents in ranking order to promote diversity and reduce redundancy. To promote diversity means to ...


Exploring a multi-source fusion approach for genomics information retrieval

2010 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2010

In this paper, we focus on the biomedicine domain to propose a multi-source fusion approach for improving information retrieval performance. First, we consider a common scenario for a metasearch system that has access to multiple baselines with retrieving and ranking documents/passages by their own models. Second, given selected baselines from multiple sources, we employ two modified fusion rules in the ...


Ontology-based information retrieval for historical documents

2016 Third International Conference on Information Retrieval and Knowledge Management (CAMP), 2016

This article presents an ontology-based approach to designing and developing new representation IR system instead of conventional keyword-based approach. Such representation improves the precision and recall of document retrieval. Experiments carried out on the ontology-based approach and keyword-based approach demonstrates the effectiveness of the proposed approach.


Active warden as the main hindrance for steganography information retrieval

2012 International Conference on Information Retrieval & Knowledge Management, 2012

Our paper discusses how active warden operates and why it is important for steganographers to understand the impending threat in which they possess. It was a common belief that the main adversary for steganography is coming from steganalysis detection. However, we have found in some situation, the destruction of hidden information is more easily achievable compared to the task of ...


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Educational Resources on Information Retrieval

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IEEE.tv Videos

The role of aggregation guided by fuzzy quantifiers in Information Retrieval and in Social Media Analytics
ICASSP 2012 Plenary-Dr. Karlheinz Brandenburg
Array storing and retrieval
My Computer Speaks Colors! Fuzzy Color Spaces for Image Understanding, Description and Retrieval
Fuzzy and Soft Methods for Multi-Criteria Decision Making - Ronald R Yager - WCCI 2016
Phase Retrieval with Application to Optical Imaging
The Autonomous City Explorer (ACE) Project--Mobile Robot Navigation in Highly Populated Urban Environments
Information Technology: Careers for the information age
IEEE Future Directions: Green Information and Communications Technology: An Overview
Self-Organization with Information Theoretic Learning
Fengrui Shi: Game Theoretic and Auction-based Algorithms Towards Opportunistic Edge-Processing in LPWA LoRa Networks: WF-IoT 2016
AuthorLab: Featuring the IEEE Author Posting Policy
EMBC 2011 -Keynote -The Impact of Information Technology on Health Care Delivery - John Glaser, PhD
Special Evening Panel Discussion: AI, Cognitive Information Processing, and Rebooting Computing - IEEE Rebooting Computing 2017
Data Modeling using Kernels and Information Theoretic Learning
8-Element, 1-3GHz Direct Space-to-Information Converter - Matthew Bajor - RFIC Showcase 2018
Karen Bartleson interviewed at World Summit on the Information Society
David Ngar Ching Tse - IEEE Richard W. Hamming Medal, 2019 IEEE Honors Ceremony
Noise Enhanced Information Systems: Denoising Noisy Signals with Noise
Seven (Small) Steps to Protecting Big Trade Secrets and Confidential Information, Part 2 - IEEE USA

IEEE-USA E-Books

  • IEE Colloquium on 'Parallel Techniques for Information Retrieval' (Digest No.54)

    None

  • Expoliting rich features for promoting diversity in biomedical information retrieval

    Prompting diversity in ranking for information retrieval (IR) becomes an important topic in the past decade [2], [4] because of the increasing demand of personalization and disambiguation of user's queries. Beyond counting on relevance between documents and query, diversity IR takes consideration of relationship among documents in ranking order to promote diversity and reduce redundancy. To promote diversity means to provide various aspects of information in the ranking results list and to reduce redundancy aims to deduce repeatedly mentioned information. The application of diversity IR has drawn great attention and shown beneficial in previous studies when query turns out to be ambiguous, especially in the scenario of biomedical IR investigated in TREC<sup>1</sup> 2006 and 2007 Genomics Tracks where biologists tend to query a certain type of entities covering different aspects that are related to the question, for example, genes, proteins, diseases, and mutations [1]. However, to the best of our knowledge, there is no learning-to- rank algorithm that processes the biomedical information retrieval in the perspective of addressing the domain specific features that may reflect the novelty of single document and the diversity of whole ranking list. We argue that it is promising to define and make use of diversity reflecting features to better model diversity information. Unlike previous studies, we tackle this problem in the learning-to-rank [3] perspective view. The main challenges are how to find salient features for biomedical data and how to tackle the problem of utilizing dynamic features with learning-to-rank technology. In this paper, we propose a novel approach to combine the dynamic diversified features with the learning-to-rank technology. Firstly we rank results using a general learning-to-rank model. Second, using Wikipedia, the topics of each retrieved results are detected which facilitate the generation of diversity-biased features. (Table I lists example of diversity features.) Then a diversity- favored ranking model which awards high novelty and low redundancy ranking results is learned from dataset represented by all features. Final results will be given by combination of both models. Experiment results conducted on the TREC 2006 and 2007 Genomics collections show our proposed method outperforms BM25, Language Model with Dirichlet Smoothing and general learning-to-rank model. The major contributions of this paper are two-fold. First, we propose several diversity-reflecting features by studying the relationship among documents. Second, we propose a learning to rank framework to combine the diversity-biased model with a general ranking model learned from the common features. Extensive experiments on the TREC 2006 and 2007 Genomics Tracks[1] demonstrate that the using of diversity-based features is beneficial for promoting diversity in biomedical IR.

  • Exploring a multi-source fusion approach for genomics information retrieval

    In this paper, we focus on the biomedicine domain to propose a multi-source fusion approach for improving information retrieval performance. First, we consider a common scenario for a metasearch system that has access to multiple baselines with retrieving and ranking documents/passages by their own models. Second, given selected baselines from multiple sources, we employ two modified fusion rules in the proposed approach, reciprocal and combMNZ, to rerank the candidates as the output for evaluation. Third, our empirical study on both 2007 and 2006 genomics data sets demonstrates the viability of the proposed approach to better performance fusion. Fourth, the experimental results show that the reciprocal method provides notable improvements on the individual baseline, especially on the effective passage MAP, the passage2-level and the diversity MAP, the aspect-level.

  • Ontology-based information retrieval for historical documents

    This article presents an ontology-based approach to designing and developing new representation IR system instead of conventional keyword-based approach. Such representation improves the precision and recall of document retrieval. Experiments carried out on the ontology-based approach and keyword-based approach demonstrates the effectiveness of the proposed approach.

  • Active warden as the main hindrance for steganography information retrieval

    Our paper discusses how active warden operates and why it is important for steganographers to understand the impending threat in which they possess. It was a common belief that the main adversary for steganography is coming from steganalysis detection. However, we have found in some situation, the destruction of hidden information is more easily achievable compared to the task of detecting it. Active Wardens are attackers of steganography which aims to demolish possible hidden information within a carrier media. If the enemy's objective is to disrupt the communication of hidden information, then the active approach is definitely a better choice compared to passive time consuming steganalysis.

  • Potential Roles and Applications of Thesauri in Digital Information Retrieval Systems

    The objective of this study is evidence-based identification and characterization of the potential roles and applications of thesauri in Digital Information Retrieval Systems (DIRS). Contents of 77 relevant publications, indexed in Scopus and LISA, and 75 responses received from the administrators of open access repositories, registered with OpenDOAR have been analyzed. Apart from the potential roles of thesauri in information retrieval, i.e., indexing, searching and browsing, other potential applications of thesauri, like automatic keyphrase annotations, selective dissemination of information, ontology development and metadata harvesting, have also been identified. This paper aims to make an important contribution towards the design and practice of DIRSs by making cues for using the potentials of thesauri.

  • Hyperdictionary: a knowledge discovery tool to help information retrieval

    We present a knowledge discovery tool to help the information retrieval process. This tool, which we define as Hyperdictionary, is capable of acquiring and holding relationships among words to describe the context of some information-the knowledge about some subject. This knowledge is then used to retrieve information by contextual search in a document collection. Our preliminary studies indicate that this structure can be used in conjunction with some information retrieval tool, to aid the user in the elaboration of his query. The user's query is automatically expanded with words strongly related to the information the user is wanting, facilitating the retrieval process.

  • Effects of term segmentation on Chinese/English cross-language information retrieval

    The majority of recent Cross-Language Information Retrieval (CLIR) research has focused on European languages. CLIR problems that involve East Asian languages such as Chinese introduce additional challenges, because written Chinese texts lack boundaries between terms. The paper examines three Chinese segmentation techniques in combination with two variants of dictionary-based Chinese to English query translation. The results indicate that failure to segment terms, particularly technical terms and names, can have a cascading effect that reduces retrieval effectiveness. Task-tuned segmentation algorithms and alternative term weighting strategies are suggested as productive directions for future work.

  • Research on Domain Ontology Based Information Retrieval Model

    This paper gives out an information retrieval system model based on ontology. First of all, the weak point and its reason are analyzed for traditional information retrieval system,. Then, the concept of Ontology and its application in intelligent retrieval domain is introduced. Afterwards, a information retrieval system structure model, based on domain ontology, was proposed, in which it was introduced on how to utilize domain knowledge of ontology to realize query based on concept during the process of information retrieval. At last, it was evaluated on this modelpsilas performance.

  • A user centered approach to collaborative information retrieval

    In this paper, we explain a user centered approach to collaborative information retrieval where the focus is not only on the system but on the users' interactions in solving an information problem. Our approach consists in facilitating knowledge sharing among users during information retrieval process through annotation and interpersonal communication. We created an environment for users to share their knowledge synchronously and asynchronously during information problem definition and clarification; while choosing information system to be used for search; during formulation and reformulation of queries to express their information problem based on the information system chosen; and during the evaluation of information relevancy to the resolution of their information problem.



Standards related to Information Retrieval

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No standards are currently tagged "Information Retrieval"