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A Batch-Mode Active Learning Technique Based on Multiple Uncertainty for SVM Classifier

Swarnajyoti Patra, Lorenzo Bruzzone
<span title="">2012</span> <i title="Institute of Electrical and Electronics Engineers (IEEE)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/q2cxanfrsvclzbz73u2mnqrxru" style="color: black;">IEEE Geoscience and Remote Sensing Letters</a> </i> &nbsp;
In this paper we present a novel batch mode active learning technique for solving multiclass classification problems by using the support vector machine (SVM) classifier with the one-againstall (OAA) architecture  ...  To select batch of most uncertain samples from all over the decision region, the uncertain regions of the classifiers are partitioned into multiple parts depending on the number of geometrical margins  ...  PROPOSED BATCH MODE ACTIVE LEARNING TECHNIQUE BASED ON MULTIPLE UNCERTAINTY We propose a novel batch mode active learning technique for solving multiclass classification problems using the SVM classifier  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/lgrs.2011.2172770">doi:10.1109/lgrs.2011.2172770</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/o56uqiexbbantnmsfu4rwjx4ke">fatcat:o56uqiexbbantnmsfu4rwjx4ke</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170830044604/http://rslab.disi.unitn.it/papers/10.1109LGRS.2011.2172770.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/39/43/3943ad0fb0c7eb7679cec2ccbde37f2e4f6f5901.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/lgrs.2011.2172770"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> ieee.com </button> </a>

A Batch-Mode Regularized Multimetric Active Learning Framework for Classification of Hyperspectral Images

Zhou Zhang, Melba M. Crawford
<span title="">2017</span> <i title="Institute of Electrical and Electronics Engineers (IEEE)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/4odsbtjobjalfki6xxabjpdu6y" style="color: black;">IEEE Transactions on Geoscience and Remote Sensing</a> </i> &nbsp;
First, a regularized multi-metric learning approach is proposed to jointly learn distinct metrics for different types of features.  ...  In order to simultaneously deal with these issues, a regularized multi-metric active learning framework is proposed which consists of three main parts.  ...  Recently, a region-partitioning diversity criterion was applied in conjunction with an SVM classifier for batch-mode AL, yielding a computationally efficient method as it only relies on the outputs of  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/tgrs.2017.2730583">doi:10.1109/tgrs.2017.2730583</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/6sg6mlruvveijn5vfrohsrzviu">fatcat:6sg6mlruvveijn5vfrohsrzviu</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200329143817/https://ieeexplore.ieee.org/ielaam/36/8082819/8038250-aam.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/5b/7a/5b7aabca02a512434b3ac25614d06096b10348a4.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/tgrs.2017.2730583"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> ieee.com </button> </a>

Batch Mode Active Learning for Networked Data

Lixin Shi, Yuhang Zhao, Jie Tang
<span title="2012-02-01">2012</span> <i title="Association for Computing Machinery (ACM)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/gmnsxns6fvf23c44lkzaej5laq" style="color: black;">ACM Transactions on Intelligent Systems and Technology</a> </i> &nbsp;
We study a novel problem of batch mode active learning for networked data.  ...  content information to actively select a batch of instances to query the user for learning an accurate model to label unknown instances in the network.  ...  It is a batch mode active learning method, sampling examples that are closest to the decision boundary of SVM for the query [Tong and Chang 2001] .  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1145/2089094.2089109">doi:10.1145/2089094.2089109</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/u7hrjucd6bfh5hv7ebznfzjrze">fatcat:u7hrjucd6bfh5hv7ebznfzjrze</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170813061720/http://keg.cs.tsinghua.edu.cn/jietang/publications/TIST11-Shi-et-al-Batch-Mode-Active-Learning-for-Networked-Data.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/3f/31/3f3166232216cb4d29d7c686ab20e3e245e453ba.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1145/2089094.2089109"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> acm.org </button> </a>

Adaptive prototype-based fuzzy classification

Nicolas Cebron, Michael R. Berthold
<span title="">2008</span> <i title="Elsevier BV"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/wcbukkuh2vbrpcbz2f4z2a2g6u" style="color: black;">Fuzzy sets and systems (Print)</a> </i> &nbsp;
Motivated by the concept of active learning, the learner tries to query the most "useful" examples in the learning process and therefore keeps the costs for supervision at a low level.  ...  We propose a new adaptive active clustering scheme, based on an initial fuzzy c-means clustering and learning vector quantization.  ...  SVM with active learning have been widely used for image retrieval problems [18, 21] or in the drug discovery process [22] .  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/j.fss.2008.03.019">doi:10.1016/j.fss.2008.03.019</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/kbggptvk3rewfn7m3cnib3siay">fatcat:kbggptvk3rewfn7m3cnib3siay</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20180721183836/https://d-nb.info/1132511054/34" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/d9/47/d947f390cc77440ffcedf18c2afcb2071a09a525.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/j.fss.2008.03.019"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> elsevier.com </button> </a>

Batch Mode Active Learning for Multimedia Pattern Recognition

Shayok Chakraborty, Vineeth Balasubramanian, Sethuraman Panchanathan
<span title="">2012</span> <i title="IEEE"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/hvpvmtth5ndrjdu4ahfgq3tizm" style="color: black;">2012 IEEE International Symposium on Multimedia</a> </i> &nbsp;
This has expanded the possibility of solving real world problems using computational learning frameworks.  ...  I could not have asked for a better role model, who is inspirational, supportive and patient.  ...  ACKNOWLEDGEMENTS My tenure at Arizona State University has been influenced and guided by a number of people to whom I am deeply indebted.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/ism.2012.101">doi:10.1109/ism.2012.101</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/ism/ChakrabortyBP12.html">dblp:conf/ism/ChakrabortyBP12</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/kvr4sjlulrcv5cdwtrapadskm4">fatcat:kvr4sjlulrcv5cdwtrapadskm4</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170829072258/https://repository.asu.edu/attachments/110399/content/Chakraborty_asu_0010E_12776.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/c8/6c/c86c347ac83c7f9699445081a25685e0094b9874.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/ism.2012.101"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> ieee.com </button> </a>

Active Learning Methods based on Statistical Leverage Scores [article]

Cem Orhan, Oznur Tastan
<span title="2018-12-06">2018</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
Our experiments on diverse datasets show that querying based on leverage scores is a powerful strategy for active learning.  ...  and DBALEVS for querying a batch of examples.  ...  In Section 5, ALEVS presents active learning method for querying a single example at each active learning while Section 6 presents the batch mode active learning algorithm DBALEVS.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1812.02497v1">arXiv:1812.02497v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/nq2pvicopjbcfm2fv2bcfvvslu">fatcat:nq2pvicopjbcfm2fv2bcfvvslu</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200914224927/https://arxiv.org/pdf/1812.02497v1.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/ea/ed/eaed138adf2e0a41fc8c8283a5cb7c5f1dc4b33a.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1812.02497v1" title="arxiv.org access"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> arxiv.org </button> </a>

Active Learning: Any Value for Classification of Remotely Sensed Data?

Melba M. Crawford, Devis Tuia, Hsiuhan Lexie Yang
<span title="">2013</span> <i title="Institute of Electrical and Electronics Engineers (IEEE)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/yfvtieuumfamvmjlc255uckdlm" style="color: black;">Proceedings of the IEEE</a> </i> &nbsp;
Active learning, which has a strong impact on processing data prior to the classification phase, is an active research area within the machine learning community, and is now being extended for remote sensing  ...  We provide an overview of active learning methods, then review the latest techniques proposed to cope with the problem of interactive sampling of training pixels for classification of remotely sensed data  ...  Our results are based on the SVM classifier, which is natural for many active learning strategies, although other classifiers can be used effectively with many active learning methods.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/jproc.2012.2231951">doi:10.1109/jproc.2012.2231951</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/hoyz7vgagfgqfoxjfmwqdjqkvu">fatcat:hoyz7vgagfgqfoxjfmwqdjqkvu</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20150412085726/http://infoscience.epfl.ch:80/record/196283/files/crawford-pieee-preprint.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/de/6a/de6a15d3a27780d3f68c2a54860115a083be945f.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/jproc.2012.2231951"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> ieee.com </button> </a>

Classification as Clustering: A Pareto Cooperative-Competitive GP Approach

Andrew R. McIntyre, Malcolm I. Heywood
<span title="">2011</span> <i title="MIT Press - Journals"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/b7u6fu546fgplmudjzcn5zqqme" style="color: black;">Evolutionary Computation</a> </i> &nbsp;
Intuitively population based algorithms such as genetic programming provide a natural environment for supporting solutions that learn to decompose the overall task between multiple individuals, or a team  ...  Benchmarking is performed against recent examples of nonlinear SVM classifiers over 12 UCI datasets with between 150 and 200,000 training instances.  ...  Moreover, the sp-SVM algorithm results in a distribution of models for each complexity limit where this is a function of the stochastic sampling introduced by the active learning component.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1162/evco_a_00016">doi:10.1162/evco_a_00016</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/20879899">pmid:20879899</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/mj5dingugngzjh7ep6hwtgf2cq">fatcat:mj5dingugngzjh7ep6hwtgf2cq</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20210410044501/https://watermark.silverchair.com/evco_a_00016.pdf?token=AQECAHi208BE49Ooan9kkhW_Ercy7Dm3ZL_9Cf3qfKAc485ysgAAApwwggKYBgkqhkiG9w0BBwagggKJMIIChQIBADCCAn4GCSqGSIb3DQEHATAeBglghkgBZQMEAS4wEQQM-fBU8spatUdTM2iZAgEQgIICT06nI35cpBpT8m7OUolGASfHJ9eiM1GDHU_2imHgZ99jJn6dOR_l1Moz0l14pzSTKwWxGQvy9V1oQ2PKO2bTCGWbfR5zGbArAOVEAaBYP7VoKhLTJJD9BvYPrBnYZbgCqAqo5LTWsJ8schsdTySnK8t6R1f2fW3BTvc8Nj4cGT4bkPebSngsNTJLp8m3CkdGjbv2hWmw9qK9sp4nhCjijjOhAb_4Z9sycDPvUYbfoPMcyUS3b20rmgHjoLcHEjn6PExX8z3y5d3oY0shlqyLYA9WWVL9GNZuAKUEoW9jojuYaR-9nNjPdmvXoT7LtptMrzQoRpc1hGuTQSHwyXvbSphMDeysb8KaN9wvxokOwt2pkkKr_bwT_xUeO95HQXaVFJcr4prDr3lFrExmdJ_MAI-JReu6ekOhJCkD-OxS1toCVII0MTH3HfaL3Aj8_gDuFVtaupMG5poDUOWz8eWYxqkV2Jv31t_ajhKjvg9_3TDL9I1EUob9rUNgVPSRgGkJMp0uqb_gOmNYizG009-sEyoeP9mI8Qdi31QsZQ2kWlImCCt2zNvhM7ef3pWNScs0tXMegDqsAjvBwoDA97HWu0bVC5jp90ocrF3ci4OsiIK3TzUltapTOs_mksml6qRTRnhxFySlf6WK1HuWJp4Rr6kUGUv1zO2uTytrOp9JXVhUBjflzHqoXaqyvYXtR7fv8cC-fNxpL2eW7xLMYx9K4sMomWydBE8GtlQ-ljTKnbI3ENy_ZTZIkDoj1i_p1xSFLnL2N5WJ--qA7OwOYXl2kg" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/b4/ef/b4efe7a5152c7780c2f5ed8595703a79592626e4.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1162/evco_a_00016"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> mitpressjournals.org </button> </a>

A Low-Power Processor With Configurable Embedded Machine-Learning Accelerators for High-Order and Adaptive Analysis of Medical-Sensor Signals

Kyong Ho Lee, Naveen Verma
<span title="">2013</span> <i title="Institute of Electrical and Electronics Engineers (IEEE)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/cz5rf4o3ezafnl4kjpq643g32e" style="color: black;">IEEE Journal of Solid-State Circuits</a> </i> &nbsp;
This paper presents a custom processor that integrates a CPU with configurable accelerators for discriminative machine-learning functions.  ...  An accelerator for embedded active learning enables prospective adaptation of the signal models by utilizing sensed data for patient-specific customization, while minimizing the effort from human experts  ...  ACKNOWLEDGMENT The authors would like to thank MOSIS for IC fabrication.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/jssc.2013.2253226">doi:10.1109/jssc.2013.2253226</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/qqegsupivzbtrp2gpxoxjdanke">fatcat:qqegsupivzbtrp2gpxoxjdanke</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20160327230659/http://www.princeton.edu:80/~nverma/VermaLabSite/Publications/2013/LeeVerma_JSSC2013.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/94/cb/94cb8e3a285b64e95bd199bbdef26330754a640f.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/jssc.2013.2253226"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> ieee.com </button> </a>

An Overview on Concept Drift Learning

Adriana Sayuri Iwashita, Joao Paulo Papa
<span title="">2019</span> <i title="Institute of Electrical and Electronics Engineers (IEEE)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/q7qi7j4ckfac7ehf3mjbso4hne" style="color: black;">IEEE Access</a> </i> &nbsp;
In this paper, we surveyed several works that deal with concept drift, as well as we presented a comprehensive study of public synthetic and real datasets that can be used to cope with such a problem.  ...  Traditional classifiers can be easily fooled in such situations, resulting in poor performances.  ...  [40] proposed an adaptive learning method for cascades of boosted ensembles. The algorithm employs a hybrid of active and passive updating approach.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/access.2018.2886026">doi:10.1109/access.2018.2886026</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/wqpqv72wmbaevhxrqsdiehxvjm">fatcat:wqpqv72wmbaevhxrqsdiehxvjm</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20201108073414/https://ieeexplore.ieee.org/ielx7/6287639/8600701/08571222.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/0a/82/0a82ab3ab94fdf7f06a4b6fd63acd92ab6a46ab2.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/access.2018.2886026"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> ieee.com </button> </a>

Batch Active Learning With Two-Stage Sampling

Ronghua Luo, Xiang Wang
<span title="">2020</span> <i title="Institute of Electrical and Electronics Engineers (IEEE)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/q7qi7j4ckfac7ehf3mjbso4hne" style="color: black;">IEEE Access</a> </i> &nbsp;
In order to reduce the time complexity of active learning so that the oracle need not wait for the algorithm to provide instance in labeling, we proposed a new active learning method, which leverages batch  ...  Due to its effectiveness in training precise model using significant fewer labeled instances, active learning has been widely researched and applied.  ...  are proposed for batch mode active learning.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/access.2020.2979315">doi:10.1109/access.2020.2979315</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/ubpnmseyf5hwtcl322ejnxb5ae">fatcat:ubpnmseyf5hwtcl322ejnxb5ae</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20201107231438/https://ieeexplore.ieee.org/ielx7/6287639/8948470/09027824.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/f7/30/f730927ed22d4f49c42597aaad65fc84a6461d0f.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/access.2020.2979315"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> ieee.com </button> </a>

Towards Image Classification with Machine Learning Methodologies for Smartphones

Lili Zhu, Petros Spachos
<span title="2019-10-04">2019</span> <i title="MDPI AG"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/tjwucdga6zfftlebfsmbvxjiyy" style="color: black;">Machine Learning and Knowledge Extraction</a> </i> &nbsp;
Recent developments in machine learning engendered many algorithms designed to solve diverse problems.  ...  In this paper, we evaluated traditional machine learning, deep learning and transfer learning methodologies to compare their characteristics by training and testing on a butterfly dataset, and determined  ...  Acknowledgments: We thank the anonymous referees for their constructive comments. Conflicts of Interest: The authors declare no conflict of interest.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/make1040059">doi:10.3390/make1040059</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/sndtysaxyber5mdvbs22q65vhu">fatcat:sndtysaxyber5mdvbs22q65vhu</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200211005143/https://res.mdpi.com/d_attachment/make/make-01-00059/article_deploy/make-01-00059-v2.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/ae/c5/aec57114b3b34db6b3e67bc825e8c044c159c33d.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/make1040059"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> mdpi.com </button> </a>

A Smart Glove for Visually Impaired People Who Attend to the Elections

Pinar Oguz Ekim, Ecem Ture, Seray Karahan, Fulya Yenilmez
<span title="2021-05-31">2021</span> <i title="Springer Science and Business Media LLC"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/yzo2wjv2bbh2zo3zo5p7scalee" style="color: black;">SN Computer Science</a> </i> &nbsp;
For the same dataset, the train and test results of SVM are 80% and 80%, respectively.  ...  Furthermore, it can be used by visually impaired people not only for elections but also for different applications with some changes.  ...  Support Vector Machines (SVM) SVM is a supervised classification algorithm which is used to classify mixed data sets according to their specific feature values.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/s42979-021-00709-2">doi:10.1007/s42979-021-00709-2</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/bosobl3ddjdjfg4b6zfatx2f7i">fatcat:bosobl3ddjdjfg4b6zfatx2f7i</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20210717161927/https://link.springer.com/content/pdf/10.1007/s42979-021-00709-2.pdf?error=cookies_not_supported&amp;code=abca3421-2687-43a9-bd92-dea58370ab89" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/82/33/8233088d325885df08719ac1a36aa26f969a6eb9.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/s42979-021-00709-2"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> springer.com </button> </a>

Earthquake Prediction using Machine Learning Algorithm

<span title="2020-03-30">2020</span> <i title="Blue Eyes Intelligence Engineering and Sciences Engineering and Sciences Publication - BEIESP"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/3sfifsouvjgadp4gfj54u3z2ku" style="color: black;">International journal of recent technology and engineering</a> </i> &nbsp;
It focuses on detecting early signs of earthquake by using machine learning algorithms. System is entitled to basic steps of developing learning systems along with life cycle of data science.  ...  A magnitude corresponding to 5 and above is classified as deadliest.  ...  In python, scikit-learn is a simple, basic, efficient open source library that executes a range of machine learning algorithms featuring various classification, regression and clustering algorithms using  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.35940/ijrte.e9110.018620">doi:10.35940/ijrte.e9110.018620</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/gz435n4upjap5jnxcij3lglet4">fatcat:gz435n4upjap5jnxcij3lglet4</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200504153242/https://www.ijrte.org/wp-content/uploads/papers/v8i6/F9110038620.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/28/d9/28d92aea3bf899b7343bbecaab71913e4d7a2cd9.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.35940/ijrte.e9110.018620"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> Publisher / doi.org </button> </a>

Automated identification of Myxobacterial genera using Convolutional Neural Network

Hedieh Sajedi, Fatemeh Mohammadipanah, Ali Pashaei
<span title="2019-12-03">2019</span> <i title="Springer Science and Business Media LLC"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/tnqhc2x2aneavcd3gx5h7mswhm" style="color: black;">Scientific Reports</a> </i> &nbsp;
In this paper, Convolutional Neural Network (CNN) was considered as a baseline for recognition of fruiting bodies.  ...  In addition, to enhance the result the classifier, part of CNN is replaced with other classifiers.  ...  Data availability The analysis data of this study are available from the corresponding authors for follow up studies.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1038/s41598-019-54341-5">doi:10.1038/s41598-019-54341-5</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/31796781">pmid:31796781</a> <a target="_blank" rel="external noopener" href="https://pubmed.ncbi.nlm.nih.gov/PMC6890705/">pmcid:PMC6890705</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/f3p35tsm6rhz5pmxze5xn7tfaq">fatcat:f3p35tsm6rhz5pmxze5xn7tfaq</a> </span>
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