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Knowledge extraction from a time-series using segmentation, fuzzy matching and predictor graphs

Jishnu Mukhoti, Pratyusha Rakshit, Diptendu Bhattacharya, Amit Konar, Atulya K. Nagar
<span title="">2016</span> <i title="IEEE"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/udakit3l65dttaf22bvkqynv7a" style="color: black;">2016 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)</a> </i> &nbsp;
In this paper, a novel multi-stage approach to knowledge extraction from a time-series is proposed.  ...  In the second stage, the temporal segments thus obtained are normalized and matched with one of four well-known primitive patterns using a fuzzy matching algorithm.  ...  the set P, Fig. 6 .p 6 Construction of predictor graphs from a given segmented, classified and partitioned time-series: (a) A synthetic time-series is segmented and each temporal segment has been classified  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/fuzz-ieee.2016.7737825">doi:10.1109/fuzz-ieee.2016.7737825</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/fuzzIEEE/MukhotiRBKN16.html">dblp:conf/fuzzIEEE/MukhotiRBKN16</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/rc2d7suh3vfc7fpf4csy6rfv3y">fatcat:rc2d7suh3vfc7fpf4csy6rfv3y</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170830011245/http://hira.hope.ac.uk/id/eprint/1443/1/11.%20FUZZ-16461-Knowledge%20Extraction%20from%20a%20Time-Series%20Using%20Segmentation,%20Fuzzy%20Matching%20and%20Predictor%20Graphs.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/54/ed/54edf7f8fd3f5f915d056f61e76bae3139d66472.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/fuzz-ieee.2016.7737825"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> ieee.com </button> </a>

Pattern Discovery in Hydrological Time Series Data Mining during the Monsoon Period of the High Flood Years in Brahmaputra River Basin

Satanand Mishra, V. K. Dwivedi, C. Sarvanan, K. K. Pathak
<span title="2013-04-18">2013</span> <i title="Foundation of Computer Science"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/b637noqf3vhmhjevdfk3h5pdsu" style="color: black;">International Journal of Computer Applications</a> </i> &nbsp;
The agglomerative hierarchical clustering is used to cluster and discover the discharge patterns in terms of the autoregressive model. A forecast model has been predicted on the discharge process.  ...  In this paper, based on data mining techniques, the analysis is carried out in hydrological daily discharge time series of the Panchratna station in the river Brahmaputra under Brahmaputra and Barak Basin  ...  The authors would like to thank the Central Water Commission, Ministry of Water Resources for providing Water Level and Discharge data.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.5120/11397-6698">doi:10.5120/11397-6698</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/txk3unvphzgh3lsjvicqm66pme">fatcat:txk3unvphzgh3lsjvicqm66pme</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20180603012108/https://research.ijcaonline.org/volume67/number6/pxc3886698.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/2f/c0/2fc05fbd0469dcd1787268bd4380a5a521541c10.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.5120/11397-6698"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>

Computational Intelligence in Image Processing 2016

Erik Cuevas, Daniel Zaldívar, Gonzalo Pajares, Marco Perez-Cisneros, Raúl Rojas
<span title="">2016</span> <i title="Hindawi Limited"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/wpareqynwbgqdfodcyhh36aqaq" style="color: black;">Mathematical Problems in Engineering</a> </i> &nbsp;
Computational intelligence (CI) has emerged as a powerful tool for information processing, decision-making, and knowledge management.  ...  CI approaches, in general, are useful for designing advanced computerized systems that possess useful characteristics mimicking human behaviors and capabilities in solving complex tasks, for example, learning  ...  We hope this special issue offers a comprehensive and timely view of the area of applications of computational intelligence in image processing and that it will grant stimulation for further research.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1155/2016/5680246">doi:10.1155/2016/5680246</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/mvh4ujljq5cqdletmwen2bdzrq">fatcat:mvh4ujljq5cqdletmwen2bdzrq</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20190502203628/http://downloads.hindawi.com/journals/mpe/2016/5680246.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/24/45/24457dbdc8ce8bcf65600350d02d3e474c00fd1d.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1155/2016/5680246"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> hindawi.com </button> </a>

Discovering Flood Recession Pattern in Hydrological Time Series Data Mining during the Post Monsoon Period

Satanand Mishra, C. Saravanan, V. K. Dwivedi, K. K. Pathak
<span title="2014-03-01">2014</span> <i title="Foundation of Computer Science"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/b637noqf3vhmhjevdfk3h5pdsu" style="color: black;">International Journal of Computer Applications</a> </i> &nbsp;
K-means clustering, Dynamic Time Warping(DTW), Agglomerative Hierarchical Clustering(AHC) and Ward's criterion are used to cluster and discover the discharge patterns in terms of the autoregressive model  ...  In this paper, with the help of time series data mining techniques, the analysis has made for hydrological daily discharge time series data, measured at the Panchratna station during the post monsoon in  ...  The authors would like to thank the Central Water Commission, Ministry of Water Resources, India for providing Water Level and Discharge data.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.5120/15597-4375">doi:10.5120/15597-4375</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/2nlxjzft6ffzfkv7nercxcucvu">fatcat:2nlxjzft6ffzfkv7nercxcucvu</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20180603041602/https://research.ijcaonline.org/volume90/number8/pxc3894375.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/c8/95/c895baabf76f00f0851f81bff4064c0badcc1e99.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.5120/15597-4375"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>

An Effect of Nutrient Deficiency on Yield Estimation

<span title="2019-09-30">2019</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;
This model uses segmentation methods like FCM and Color segmentation techniques there by improving the accuracy of the system and comparing with the ground truth values  ...  The proposed model focus on segmentation of these regions using an efficient hierarchical model.  ...  This segmented N, P, and K regions are again validated by comparing the features extracted from it to the features already stored in the knowledge base using ANN classifier to get the final Validated NPK  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.35940/ijrte.c3857.098319">doi:10.35940/ijrte.c3857.098319</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/uuvzjztgr5dgzj3xwuxgnsvghi">fatcat:uuvzjztgr5dgzj3xwuxgnsvghi</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200210083024/https://www.ijrte.org/wp-content/uploads/papers/v8i3/C3857098319.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/b4/7e/b47ea2ad698fc7ce69912aaebf553e0f6c3fee24.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.35940/ijrte.c3857.098319"> <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>

Outlier Detection for Temporal Data: A Survey

Manish Gupta, Jing Gao, Charu C. Aggarwal, Jiawei Han
<span title="">2014</span> <i title="Institute of Electrical and Electronics Engineers (IEEE)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/ht3yl6qfebhwrg7vrxkz4gxv3q" style="color: black;">IEEE Transactions on Knowledge and Data Engineering</a> </i> &nbsp;
specific definitions and techniques have been widely used.  ...  This has fueled the growth of different kinds of data sets such as data streams, spatiotemporal data, distributed streams, temporal networks, and time series data, generated by a multitude of applications  ...  During testing, all length l subsequences can be extracted from a test time series and fed into the FSA.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/tkde.2013.184">doi:10.1109/tkde.2013.184</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/b6nableuvvgthlw3xxj6axabgi">fatcat:b6nableuvvgthlw3xxj6axabgi</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20141213002505/http://www.cse.hcmut.edu.vn/~chauvtn/data_mining/HK2%20-%202013%20-%202014/Tieu%20luan/02.%202014%20Outlier%20detection%20for%20temporal%20data%20-%20a%20survey.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/18/d1/18d1714870fb989f32b4311892e8765f00f7098f.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/tkde.2013.184"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> ieee.com </button> </a>

Data Analysis and Bioinformatics [chapter]

Vito Di Gesù
<span title="">2007</span> <i title="Springer Berlin Heidelberg"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/2w3awgokqne6te4nvlofavy5a4" style="color: black;">Lecture Notes in Computer Science</a> </i> &nbsp;
And this is a typical situation in biology. Some cases studies are also described.  ...  Clustering is still a subject of active research in several fields such as statistics, pattern recognition, and machine learning.  ...  In [22] a systematic approach for learning and extracting rule-based knowledge from gene expression data is presented.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/978-3-540-77046-6_47">doi:10.1007/978-3-540-77046-6_47</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/piggpbyzmvclvd5bjduv4nov4m">fatcat:piggpbyzmvclvd5bjduv4nov4m</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20180728082547/https://link.springer.com/content/pdf/10.1007%2F978-3-540-77046-6_47.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/d6/4a/d64a2247a5946b56cb7fca36431e4c19f6190fba.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/978-3-540-77046-6_47"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> springer.com </button> </a>

Machine learning and radiology

Shijun Wang, Ronald M. Summers
<span title="">2012</span> <i title="Elsevier BV"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/kpkfymbkufcnzjfc5ydyokby4y" style="color: black;">Medical Image Analysis</a> </i> &nbsp;
diagnosis from fMR images, content-based image retrieval systems for CT or MRI images, and text analysis of radiology reports using natural language processing (NLP) and natural language understanding  ...  Technology development in machine learning and radiology will benefit from each other in the long run.  ...  Given two similar graphs, graph matching studies how to match nodes from one graph to the other graph accurately under various considerations and constraints.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/j.media.2012.02.005">doi:10.1016/j.media.2012.02.005</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/22465077">pmid:22465077</a> <a target="_blank" rel="external noopener" href="https://pubmed.ncbi.nlm.nih.gov/PMC3372692/">pmcid:PMC3372692</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/4ynexgzdhrev7dfqapmjpxexuu">fatcat:4ynexgzdhrev7dfqapmjpxexuu</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200209090854/http://europepmc.org/backend/ptpmcrender.fcgi?accid=PMC3372692&amp;blobtype=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/4a/5e/4a5e046486c3d3ee03cbeb8169343cff67deff65.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/j.media.2012.02.005"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> elsevier.com </button> </a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3372692" title="pubmed link"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> pubmed.gov </button> </a>

Fuzzy cluster analysis of simple physicochemical properties of amino acids for recognizing secondary structure in proteins

Gabor Mocz
<span title="">1995</span> <i title="Wiley"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/6bubxfqklvdwthsc43yvjbtjae" style="color: black;">Protein Science</a> </i> &nbsp;
Fuzzy cluster analysis has been applied to the 20 amino acids by using 65 physicochemical properties as a basis for classification.  ...  The method is applied to a nonredundant set of 252 proteins and yields -73% matching for correctly predicted and correctly rejected residues with -60% overall success rate for the correctly recognized  ...  Gibbons and Ian R. Gibbons for helpful comments on the manuscript. This work has been supported in part by National Institutes of Health (NIH) grant GM-30401 t o I.R. Gibbons.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1002/pro.5560040616">doi:10.1002/pro.5560040616</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/7549882">pmid:7549882</a> <a target="_blank" rel="external noopener" href="https://pubmed.ncbi.nlm.nih.gov/PMC2143138/">pmcid:PMC2143138</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/oawggxzyfnamtkp24iiqfy6hmu">fatcat:oawggxzyfnamtkp24iiqfy6hmu</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200210173127/http://europepmc.org/backend/ptpmcrender.fcgi?accid=PMC2143138&amp;blobtype=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/45/9b/459b3fd2882d6845f9d576e6c26019105f892329.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1002/pro.5560040616"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> wiley.com </button> </a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2143138" title="pubmed link"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> pubmed.gov </button> </a>

HF-SPHR: Hybrid Features for Sustainable Physical Healthcare Pattern Recognition Using Deep Belief Networks

Madiha Javeed, Munkhjargal Gochoo, Ahmad Jalal, Kibum Kim
<span title="2021-02-04">2021</span> <i title="MDPI AG"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/oglosmy3gbhuzobyjit4qalakq" style="color: black;">Sustainability</a> </i> &nbsp;
Feature-to-feature fusion unites the cues from all of the sensors, and Gaussian mixture models are used for the codebook generation.  ...  In this paper, we propose a novel Sustainable Physical Healthcare Pattern Recognition (SPHR) approach using a hybrid features model that is capable of distinguishing multiple physical activities based  ...  Fuzzy entropy measures the regularity of time series more efficiently as: Figure 12 . 12 Fuzzy Entropy features extracted for EMG lead 1 and lead 2 for the HuGaDB dataset.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/su13041699">doi:10.3390/su13041699</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/4dagp5ln7bhg7f3nda5fqsgx5i">fatcat:4dagp5ln7bhg7f3nda5fqsgx5i</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20210206040252/https://res.mdpi.com/d_attachment/sustainability/sustainability-13-01699/article_deploy/sustainability-13-01699-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/ef/44/ef448314d9a2e142a49e943b602bd8c1be350f87.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/su13041699"> <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>

EEG-based human emotion recognition using entropy as a feature extraction measure

Pragati Patel, Raghunandan R, Ramesh Naidu Annavarapu
<span title="2021-10-05">2021</span> <i title="Springer-Verlag"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/mkrnpcnuxraprbvqo4hu6naxfy" style="color: black;">Brain Informatics</a> </i> &nbsp;
This study also reviews the current and future trends and discusses how emotion identification using entropy as a measure to extract features, can accomplish enhanced identification when using EEG signal  ...  EEG closely measures the electrical activities of the brain (a nonlinear system) and hence entropy proves to be an efficient feature in extracting meaningful information from raw brain waves.  ...  Recurrence plot is a visualization or a graph of a square matrix built from the input time series.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1186/s40708-021-00141-5">doi:10.1186/s40708-021-00141-5</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/34609639">pmid:34609639</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/c5qogfsptbhwxjh4otnzdsng6m">fatcat:c5qogfsptbhwxjh4otnzdsng6m</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20211007124135/https://braininformatics.springeropen.com/track/pdf/10.1186/s40708-021-00141-5.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/5c/9a/5c9ad443f68183a0a6c0a28dcf1d1a1c12f6c5a2.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1186/s40708-021-00141-5"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> springer.com </button> </a>

International Conference on Image Processing

<span title="">1996</span> <i title="IEEE"> Proceedings of 3rd IEEE International Conference on Image Processing </i> &nbsp;
ISBrj 0 -7 8 0 3 -3 2 5 9 -8 ( c a s e b o u n d ) I S B N 3 -7 8 0 3 -3 2 6 0 -1 ( m i c r o f i c h e ) L i b r a r yof C o n g r e s s : 9 6 -7 5 5 5 7 I S B N 0 -7 8 0 3 -3 2 5 8 -x ~~f t b o u~d )  ...  Removal of impulse noise using a FIRE filter Development of a scene recognition system with imprecise descriptions Fuzzy-set based feature extraction for objects of various shapes and appearances Fuzzy  ...  microscopy Recovering 3D shape and texture from continuous focus series: using a polarized filter Ultrasonic array imaging based on spatial interpolation Tomographic artefacts suppression via backprojection  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/icip.1996.560353">doi:10.1109/icip.1996.560353</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/le3ysy6wxrfr7nq56ueropy7tu">fatcat:le3ysy6wxrfr7nq56ueropy7tu</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20140116231936/http://ieeexplore.ieee.org/ielx3/4140/12210/00560353.pdf?tp=&amp;arnumber=560353&amp;isnumber=12210" 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/8c/25/8c25c47eccf1e02b02fbf64ea3b4b055f2b798da.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/icip.1996.560353"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> ieee.com </button> </a>

Classification of Explainable Artificial Intelligence Methods through Their Output Formats

Giulia Vilone, Luca Longo
<span title="2021-08-04">2021</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;
Future work should be flexible enough to meet the many requirements posed by the widespread use of AI in several fields, and the new regulations.  ...  Consequently, many scholars have developed a plethora of methods to explain their functioning and the logic of their inferences.  ...  The rules are extracted from a first neural network as a knowledge graph and then used to influence the learning process of a second network by modifying its hyperparameters.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/make3030032">doi:10.3390/make3030032</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/2mf4wusxdnanthfdayt7iejgl4">fatcat:2mf4wusxdnanthfdayt7iejgl4</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20210807155718/https://res.mdpi.com/d_attachment/make/make-03-00032/article_deploy/make-03-00032.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/1d/a2/1da27ee13ed31746ea8d80d7de6936dd48df76e5.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/make3030032"> <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 Survey on Visual Content-Based Video Indexing and Retrieval

Weiming Hu, Nianhua Xie, Li Li, Xianglin Zeng, S. Maybank
<span title="">2011</span> <i title="Institute of Electrical and Electronics Engineers (IEEE)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/yppgahlq6ndebeq5yvdc23slyy" style="color: black;">IEEE Transactions on Systems Man and Cybernetics Part C (Applications and Reviews)</a> </i> &nbsp;
boundary detection, key frame extraction and scene segmentation, extraction of features including static key frame features, object features and motion features, video data mining, video annotation, video  ...  Video indexing and retrieval have a wide spectrum of promising applications, motivating the interest of researchers worldwide.  ...  [103] propose a news video mining method, which involves two visualization graphs: the time-tendency graph and the time-space distribution graph.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/tsmcc.2011.2109710">doi:10.1109/tsmcc.2011.2109710</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/qtenus4htffcfbyuiwidgjojku">fatcat:qtenus4htffcfbyuiwidgjojku</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20120712144707/http://www.dcs.bbk.ac.uk/~sjmaybank/survey%20video%20indexing.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/9b/64/9b64f980a95806460b1056e91bd6c017226613b4.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/tsmcc.2011.2109710"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> ieee.com </button> </a>

Probabilistic Prediction of Significant Wave Height Using Dynamic Bayesian Network and Information Flow

Ming Li, Kefeng Liu
<span title="2020-07-22">2020</span> <i title="MDPI AG"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/cdphbut2xvdpze2ou6uov4erve" style="color: black;">Water</a> </i> &nbsp;
artificial neural network (ANN), random forest (RF) and support vector machine (SVM) for all lead times.  ...  The interpretable DBN-IF is proven as a promising tool for nonlinear and uncertain wave height prediction.  ...  Results and Discussion After training the model, WVHT time series were predicted using a part of testing data (from 1 -16 February) collected from buoy 41002 (3920 m; 31.892° N, 74.930° W).  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/w12082075">doi:10.3390/w12082075</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/yvctw2wevjhvrnuzbaq5zoucxm">fatcat:yvctw2wevjhvrnuzbaq5zoucxm</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200723034607/https://res.mdpi.com/d_attachment/water/water-12-02075/article_deploy/water-12-02075.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/d9/07/d9072e063333d1367baf78e9376bce6f3648da9c.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/w12082075"> <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>
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