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A Global Brain fuelled by Local intelligence: Optimizing Mobile Services and Networks with AI

Si-Ahmed Naas, Thaha Mohammed, Stephan Sigg
<span title="">2020</span> <i title="IEEE"> 2020 16th International Conference on Mobility, Sensing and Networking (MSN) </i> &nbsp;
This paper models the global brain architecture and communication among its components based on multi-agent system technology and graph theory.  ...  We adapt activity recognition as a real-world problem and show the efficiency of the proposed architecture and communication mechanism based on system accuracy and energy consumption as compared to centralized  ...  ACKNOWLEDGMENT The authors appreciate partial funding from Nokia Solutions and Networks Oy.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/msn50589.2020.00021">doi:10.1109/msn50589.2020.00021</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/kswtgohyl5fuvfw4dzn7iewub4">fatcat:kswtgohyl5fuvfw4dzn7iewub4</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20210716113137/https://acris.aalto.fi/ws/portalfiles/portal/62503730/ELEC_Naas_etal_A_Global_Brain_fuelled_by_Local_intelligence_MSN2020_acceptedauthormanuscript.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/27/55/2755fe8d82c1220965509f35cd6cea17f1a15c61.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/msn50589.2020.00021"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> ieee.com </button> </a>

CCGL: Contrastive Cascade Graph Learning [article]

Xovee Xu, Fan Zhou, Kunpeng Zhang, Siyuan Liu
<span title="2021-07-27">2021</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
In this work, we present Contrastive Cascade Graph Learning (CCGL), a novel framework for cascade graph representation learning in a contrastive, self-supervised, and task-agnostic way.  ...  Second, it learns a generic model for graph cascade tasks via self-supervised contrastive pre-training using both unlabeled and labeled data.  ...  Pre-training and transfer learning on graphs. One important application of unsupervised graph pre-training is to learn a transferrable graph encoder for downstream graph-based tasks.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2107.12576v1">arXiv:2107.12576v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/kb3si37j65gntar64i63aq7hzi">fatcat:kb3si37j65gntar64i63aq7hzi</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20210731062821/https://arxiv.org/pdf/2107.12576v1.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/11/c8/11c8afa4c16415139f6d4ec8a3acfbafcc2270bd.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2107.12576v1" 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>

Web-Scale Multimedia Information Networks

Guo-Jun Qi, Min-Hsuan Tsai, Shen-Fu Tsai, Liangliang Cao, Thomas S. Huang
<span title="">2012</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;
Ontology and cross-media structures are constructed and expanded by automatically constructing MINets from web-scale data by state-of-the-art information extraction and knowledge-based population techniques  ...  Moreover, advanced inference theory and system can be built upon the linked MINets, and then high-level ontological knowledge can be inferred and integrated in a logically harmonious network structure  ...  Also, in order to facilitate the portability of cross-media knowledge in the extracted MINets, a cross-media transfer system is used to move the information from one modality to another.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/jproc.2012.2201909">doi:10.1109/jproc.2012.2201909</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/4hcia4agvbaija2kx5ynj2esse">fatcat:4hcia4agvbaija2kx5ynj2esse</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170808041556/http://www.ifp.illinois.edu/~qi4/papers/2012_PIEEE-gjqi.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/29/67/29674c3992d719aa02895e8be7b3747851615663.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/jproc.2012.2201909"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> ieee.com </button> </a>

Transferrable Framework Based on Knowledge Graphs for Generating Explainable Results in Domain-Specific, Intelligent, Information Retrieval

Hasan Abu-Rasheed, Christian Weber, Johannes Zenkert, Mareike Dornhöfer, Madjid Fathi
<span title="2022-01-19">2022</span> <i title="MDPI AG"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/x7fwifzpv5bljlhjn7g4qri7ni" style="color: black;">Informatics</a> </i> &nbsp;
In this article, we present a transferable framework for generating domain-specific explanations for intelligent IR systems.  ...  Utilizing the same KG, we develop graph-based components for generating textual and visual explanations of the retrieved information, taking into account the domain requirements and supporting the transferability  ...  A Model-Agnostic Recommendation Explanation System Based on Knowledge Graph.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/informatics9010006">doi:10.3390/informatics9010006</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/kazl7m3egzbrpkx763wuqyxdei">fatcat:kazl7m3egzbrpkx763wuqyxdei</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20220127143636/https://mdpi-res.com/d_attachment/informatics/informatics-09-00006/article_deploy/informatics-09-00006-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/18/ed/18ed4940b746805509ce3c51abb7a663793a5aae.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/informatics9010006"> <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>

Transfer Hashing with Privileged Information [article]

Joey Tianyi Zhou, Xinxing Xu, Sinno Jialin Pan, Ivor W. Tsang, Zheng Qin, Rick Siow Mong Goh
<span title="2016-05-13">2016</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
To address this data sparsity issue in hashing, inspired by transfer learning, we propose a new framework named Transfer Hashing with Privileged Information (THPI).  ...  Most existing learning to hash methods assume that there are sufficient data, either labeled or unlabeled, on the domain of interest (i.e., the target domain) for training.  ...  and then transfer the knowledge to help learning a more precise hashing system for the target images.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1605.04034v1">arXiv:1605.04034v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/aj6746weefhqrffqlh4nwbtf34">fatcat:aj6746weefhqrffqlh4nwbtf34</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200825162312/https://arxiv.org/pdf/1605.04034v1.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/b1/a7/b1a702aa777220e6401a894844aeaf9d19235274.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1605.04034v1" 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>

PyKale: Knowledge-Aware Machine Learning from Multiple Sources in Python [article]

Haiping Lu, Xianyuan Liu, Robert Turner, Peizhen Bai, Raivo E Koot, Shuo Zhou, Mustafa Chasmai, Lawrence Schobs
<span title="2021-06-17">2021</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
We present Pykale - a Python library for knowledge-aware machine learning on graphs, images, texts, and videos to enable and accelerate interdisciplinary research.  ...  We formulate new green machine learning guidelines based on standard software engineering practices and propose a novel pipeline-based application programming interface (API).  ...  We also thank early users of our library and their helpful feedback.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2106.09756v1">arXiv:2106.09756v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/mnuxoz26mbdexn5cobnpqhkmyi">fatcat:mnuxoz26mbdexn5cobnpqhkmyi</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20210623223515/https://arxiv.org/pdf/2106.09756v1.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/25/89/25893b6b2b4c91b6c415202643a7b0d12be6ccfa.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2106.09756v1" 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>

A Survey on Neural-symbolic Systems [article]

Dongran Yu, Bo Yang, Dayou Liu, Hui Wang
<span title="2021-11-10">2021</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
In this case, an ideal intelligent system--a neural-symbolic system--with high perceptual and cognitive intelligence through powerful learning and reasoning capabilities gains a growing interest in the  ...  Combining the fast computation ability of neural systems and the powerful expression ability of symbolic systems, neural-symbolic systems can perform effective learning and reasoning in multi-domain tasks  ...  The knowledge graph transfer module models the classifier weights as a graph, and it uses a gated graph neural network (GGNN) to learn the representation of nodes.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2111.08164v1">arXiv:2111.08164v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/bc33afiitnb73bmjtrfbdgkwpy">fatcat:bc33afiitnb73bmjtrfbdgkwpy</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20211125125308/https://arxiv.org/pdf/2111.08164v1.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/22/52/2252279ae1e60940d53f08c0ff9113c0cb2b45b4.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2111.08164v1" 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>

A Framework Using Active Learning to Rapidly Perform Named Entity Extraction and Relation Recognition for Science and Technology Knowledge Graph

Ying Wang, Jing Dong, Peng Ren, Ye Wang, Jingjing Cao
<span title="">2020</span> <i title="Scientific Research Publishing, Inc."> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/a56eqt725rbndls5chgekfbyrm" style="color: black;">Open Journal of Social Sciences</a> </i> &nbsp;
To build a scientific research knowledge graph, the most of input are papers, patent, the description of their project and some national program (such as National High Technology Research and Development  ...  Those knowledge graph constructed by this framework can be used to finding similar research area, finding similar researchers, finding popular research areas and so on.  ...  Construct a concept knowledge graph for use as annotation standard. 2) The active learning toolset. 3) The output of this framework is the high quality annotated scientific research material and can be  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.4236/jss.2020.89025">doi:10.4236/jss.2020.89025</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/ng3qlpefr5hejno5clrzrksire">fatcat:ng3qlpefr5hejno5clrzrksire</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20201210141211/https://www.scirp.org/pdf/jss_2020092514120710.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/06/51/06513172a04c5882338e1e93fc745c5edfce0b21.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.4236/jss.2020.89025"> <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>

Attention-based Multi-level Feature Fusion for Named Entity Recognition

Zhiwei Yang, Hechang Chen, Jiawei Zhang, Jing Ma, Yi Chang
<span title="">2020</span> <i title="International Joint Conferences on Artificial Intelligence Organization"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/vfwwmrihanevtjbbkti2kc3nke" style="color: black;">Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence</a> </i> &nbsp;
In this study, we propose a novel framework called attention-based multi-level feature fusion (AMFF), which is used to capture the multi-level features from different perspectives to improve NER.  ...  Extensive experimental results on four benchmark datasets show that our proposed model outperforms a set of state-of-the-art baselines.  ...  And the Hanghang Tong author is partially supported by NSF (1947135, 1715385, and 1939725 ). Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.24963/ijcai.2020/493">doi:10.24963/ijcai.2020/493</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/ijcai/Zhu0T020.html">dblp:conf/ijcai/Zhu0T020</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/ktpek73hm5dchmc6j246gdaj5q">fatcat:ktpek73hm5dchmc6j246gdaj5q</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20201106224114/https://www.ijcai.org/Proceedings/2020/0493.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/79/5f/795f3cd052c8d847baf9b4625bd284359e96ccee.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.24963/ijcai.2020/493"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>

Graph Few-shot Class-incremental Learning [article]

Zhen Tan, Kaize Ding, Ruocheng Guo, Huan Liu
<span title="2021-12-23">2021</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
Furthermore, we design a Hierarchical-Attention-based Graph Meta-learning framework, HAG-Meta.  ...  Towards that purpose, we put forward a Graph Pseudo Incremental Learning paradigm by sampling tasks recurrently from the base classes, so as to produce an arbitrary number of training episodes for our  ...  Furthermore, RALE [21] uses GNNs to encode graph path-based hubs and capture the task-level dependency, to achieve knowledge transfer.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2112.12819v1">arXiv:2112.12819v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/m64vijlxcvbapjzk7shxic7lfq">fatcat:m64vijlxcvbapjzk7shxic7lfq</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20211229123011/https://arxiv.org/pdf/2112.12819v1.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/f0/a0/f0a0eb668172d83c2962502c56555c514d2b708b.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2112.12819v1" 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>

Knowledge-Guided Multi-Label Few-Shot Learning for General Image Recognition [article]

Tianshui Chen, Liang Lin, Riquan Chen, Xiaolu Hui, Hefeng Wu
<span title="2020-09-20">2020</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
Specifically, it first builds a structured knowledge graph to correlate different labels based on statistical label co-occurrence.  ...  To address these issues, we propose a knowledge-guided graph routing (KGGR) framework, which unifies prior knowledge of statistical label correlations with deep neural networks.  ...  Specifically, it first constructs a graph based on statistical label co-occurrences to correlate different categories.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2009.09450v1">arXiv:2009.09450v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/ylbmfdeap5g3vausykjxkel77e">fatcat:ylbmfdeap5g3vausykjxkel77e</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200929215113/https://arxiv.org/pdf/2009.09450v1.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] </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2009.09450v1" 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>

Scientific and Technological Resource Sharing Model Based on Few-Shot Relational Learning

Yangshengyan LIU, Fu GU, Yangjian JI, Yijie WU, Jianfeng GUO, Xinjian GU, Jin ZHANG
<span title="2021-08-01">2021</span> <i title="Institute of Electronics, Information and Communications Engineers (IEICE)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/xosmgvetnbf4zpplikelekmdqe" style="color: black;">IEICE transactions on information and systems</a> </i> &nbsp;
Experimentally, using NELL-One and Wiki-One datasets, our one-shot results outperform the baseline framework -metaR by 40.2% and 4.1% on MRR in Pre-Train setting.  ...  Here we propose a novel method to share scientific and technological resources by storing resources as nodes and correlations as links to form a complex network.  ...  We actually improve it to construct a novel resource graph that can be a more suitable business model for the integration and sharing of scientific and technological resources.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1587/transinf.2020bdp0021">doi:10.1587/transinf.2020bdp0021</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/caoeiwdfmjawfb6din5zurhao4">fatcat:caoeiwdfmjawfb6din5zurhao4</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20210804231101/https://www.jstage.jst.go.jp/article/transinf/E104.D/8/E104.D_2020BDP0021/_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/12/18/1218ff9b6ca1ead77a7c7771891f500014a58c22.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1587/transinf.2020bdp0021"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>

Survey of Analytical Methods for Big Data of Quality Inspection

Yingcheng Xu, Wei Jiang, Xiuli Ning, Bisong Liu, Ya Li
<span title="2018-12-28">2018</span> <i title="IOP Publishing"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/ze5oxgkzabgozpk5uwjjucu7sa" style="color: black;">IOP Conference Series: Materials Science and Engineering</a> </i> &nbsp;
This paper introduced the research status of semantic analysis technology based on depth learning, migration learning algorithm based on depth neural network, reinforcement learning algorithm based on  ...  It brings great challenge for data analysis as the features of huge volume, various types, high timeliness and low value density.  ...  The depth features are learnt for constant fields and probability distribution differences are corrected based on the deep transfer learning framework.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1088/1757-899x/466/1/012030">doi:10.1088/1757-899x/466/1/012030</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/f2oiyrbzkvdw7ia5wdsfzegxju">fatcat:f2oiyrbzkvdw7ia5wdsfzegxju</a> </span>
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Multi-Task Optimization and Multi-Task Evolutionary Computation in the Past Five Years: A Brief Review

Qingzheng Xu, Na Wang, Lei Wang, Wei Li, Qian Sun
<span title="2021-04-14">2021</span> <i title="MDPI AG"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/ye33srllvnanjouxn4tmrfgjsq" style="color: black;">Mathematics</a> </i> &nbsp;
As a survey on state-of-the-art of research on this topic, this review article covers basic concepts, theoretical foundation, basic implementation approaches of MTEC, related extension issues of MTEC,  ...  Inspired by this concept, the paradigm of multi-task evolutionary computation (MTEC) has recently emerged as an effective means of facilitating implicit or explicit knowledge transfer across optimization  ...  All authors have read and agreed to the published version of the manuscript. Conflicts of Interest: The authors declare no conflict of interest.  ... 
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Current Trends and Future Directions in Knowledge Management in Construction Research Using Social Network Analysis

Sepani Senaratne, Muhandiramge Nimashi Navodana Rodrigo, Xiaohua Jin, Srinath Perera
<span title="2021-11-30">2021</span> <i title="MDPI AG"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/gmyc7hrrdbc65ipxwintr36jzu" style="color: black;">Buildings</a> </i> &nbsp;
Similarly, it has the potential to be used for construction projects and organisations.  ...  stages to improve the performance of projects.  ...  The framework has been developed based on project-based organisations; however, it could be generalised for a broader context related to construction management. Chinowsky et al.  ... 
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