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Empowering Truth Discovery with Multi-Truth Prediction

Xianzhi Wang, Quan Z. Sheng, Lina Yao, Xue Li, Xiu Susie Fang, Xiaofei Xu, Boualem Benatallah
<span title="">2016</span> <i title="ACM Press"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/6g37zvjwwrhv3dizi6ffue642m" style="color: black;">Proceedings of the 25th ACM International on Conference on Information and Knowledge Management - CIKM &#39;16</a> </i> &nbsp;
Since sources' reliability is unknown a priori, a truth discovery method usually estimates sources' reliability along with the truth discovery process.  ...  multiple true values (or multi-truth).  ...  We have proposed an approach for empowering the existing truth discovery methods to address the problem.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1145/2983323.2983767">doi:10.1145/2983323.2983767</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/cikm/WangSYLFXB16a.html">dblp:conf/cikm/WangSYLFXB16a</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/2zgjowighrhd7lj2vppvgy6qhu">fatcat:2zgjowighrhd7lj2vppvgy6qhu</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20180719101507/https://digital.library.adelaide.edu.au/dspace/bitstream/2440/110035/2/RA_hdl_110035.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/6c/c0/6cc0de0baa0c68116b396f1cc6b5898d3413e4c7.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1145/2983323.2983767"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> acm.org </button> </a>

I Know Where You Are Coming From: On the Impact of Social Media Sources on AI Model Performance [article]

Qi Yang, Aleksandr Farseev, Andrey Filchenkov
<span title="2020-02-05">2020</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
Nowadays, social networks play a crucial role in human everyday life and no longer purely associated with spare time spending.  ...  Specifically, in this work, we will study the performance of different machine learning models when being learned on multi-modal data from different social networks.  ...  At the same time, such knowledge could also empower various research discoveries, driving a better understanding of the reasons behind certain human behavior.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2002.01726v1">arXiv:2002.01726v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/hhskgffi5nazrfiddwlq7f4xei">fatcat:hhskgffi5nazrfiddwlq7f4xei</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200322042644/https://arxiv.org/pdf/2002.01726v1.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/2002.01726v1" 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>

I Know Where You Are Coming From: On the Impact of Social Media Sources on AI Model Performance (Student Abstract)

Yang Qi, Farseev Aleksandr, Filchenkov Andrey
<span title="2020-04-03">2020</span> <i title="Association for the Advancement of Artificial Intelligence (AAAI)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/wtjcymhabjantmdtuptkk62mlq" style="color: black;">PROCEEDINGS OF THE THIRTIETH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE AND THE TWENTY-EIGHTH INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE CONFERENCE</a> </i> &nbsp;
Nowadays, social networks play a crucial role in human everyday life and no longer purely associated with spare time spending.  ...  Specifically, in this work, we will study the performance of different machine learning models when being learned on multi-modal data from different social networks.  ...  At the same time, such knowledge could also empower various research discoveries, driving a better understanding of the reasons behind certain human behavior.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1609/aaai.v34i10.7258">doi:10.1609/aaai.v34i10.7258</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/lkuylcgl6rdajjebtqn5phrgxy">fatcat:lkuylcgl6rdajjebtqn5phrgxy</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20201103214849/https://aaai.org/ojs/index.php/AAAI/article/download/7258/7112" 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/4b/15/4b1592d632cb9f78f1260c882d0547b27c6ec5bf.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1609/aaai.v34i10.7258"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>

Geotagging: Systematic Anatomization and Conceptual Model for POI Verification

<span title="2020-09-10">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/cj3bm7tgcffurfop7xzswxuks4" style="color: black;">VOLUME-8 ISSUE-10, AUGUST 2019, REGULAR ISSUE</a> </i> &nbsp;
There are some challenges with this data, such as authentication and skewedness.  ...  Hence, it's a need of hour to enrich the unique Indian GIS portal "Bhuvan" with Point of Interest (POI) data where one can find all necessary information.  ...  Multi-source information trustworthiness analysis framework and fine-grained truth discovery model were proposed to find the truth in crowdsourced generated data [26, 27] .  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.35940/ijitee.k7820.0991120">doi:10.35940/ijitee.k7820.0991120</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/twxah67m2vdldaweyqtrgvnh4a">fatcat:twxah67m2vdldaweyqtrgvnh4a</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200919062913/http://www.ijitee.org/wp-content/uploads/papers/v9i11/K78200991120.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 noreferrer" href="https://doi.org/10.35940/ijitee.k7820.0991120"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>

Target-Aware Object Discovery and Association for Unsupervised Video Multi-Object Segmentation [article]

Tianfei Zhou, Jianwu Li, Xueyi Li, Ling Shao
<span title="2021-04-10">2021</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
This paper addresses the task of unsupervised video multi-object segmentation.  ...  For temporal association, we complement current video object segmentation architectures with a discriminative appearance model, capable of capturing more fine-grained target-specific information.  ...  We adopt the mean squared error (MSE) loss to minimize the distance between the predicted heatmaps and Gaussianencoded ground-truths.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2104.04782v1">arXiv:2104.04782v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/7qa2244w7rgl5ez26euybjcrlq">fatcat:7qa2244w7rgl5ez26euybjcrlq</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20210414043410/https://arxiv.org/pdf/2104.04782v1.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/e3/e7/e3e70cac15ebb54fad27ecae73d7d83973648a1a.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2104.04782v1" 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>

DMInet: An Accurate and Highly Flexible Deep Learning Framework for Drug Membrane Interaction with Membrane Selectivity [article]

Guang Chen
<span title="2022-04-05">2022</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
The network of DMInet receives three inputs, viz, the drug-like molecule, membrane type, and spatial distance across membrane thickness, and predicts the potential of mean force with structural resolution  ...  Inheriting from coarse-grained Martini representation of organic molecules and combined with deep learning, DMInet has the potential for more accelerated high throughput screening in drug discovery across  ...  of DMInet prediction and ground truth on the free energy barrier for the total dimers.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2105.13928v2">arXiv:2105.13928v2</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/yx45s3u23rgbflacgiyffzbopm">fatcat:yx45s3u23rgbflacgiyffzbopm</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20210602142936/https://arxiv.org/pdf/2105.13928v1.pdf" title="fulltext PDF download [not primary version]" 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] <span style="color: #f43e3e;">&#10033;</span> <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/bf/6b/bf6b42a5aaef6f604c1477b696a5befa7d5afb33.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2105.13928v2" 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>

Quality of Information in Mobile Crowdsensing

Francesco Restuccia, Nirnay Ghosh, Shameek Bhattacharjee, Sajal K. Das, Tommaso Melodia
<span title="2017-11-30">2017</span> <i title="Association for Computing Machinery (ACM)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/e3vu3d3hbvemxbpbpbo5yyghdm" style="color: black;">ACM transactions on sensor networks</a> </i> &nbsp;
Mobile crowdsensing empowers ordinary citizens (or users 2 ) with the capability to actively monitor various phenomena pertaining to themselves (e.g., health, social connections) or their community (e.g  ...  Not only are today's smartphones ubiquitous devices, they are also equipped with a plethora of embedded multi-modal sensors; integrate wireless communication technologies such as 4G/WiFi Internet connectivity  ...  Usually, these tasks are accomplished with the help of truth discovery [101] or trust frameworks [118] .  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1145/3139256">doi:10.1145/3139256</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/hgq6lcwmofhy3gpq4auqxuhggu">fatcat:hgq6lcwmofhy3gpq4auqxuhggu</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20171127015951/http://www.ece.neu.edu/wineslab/papers/restuccia17ACM.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/3e/d0/3ed0b2393a85ad3e089da7b6a9bc1d7b5fb68db9.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1145/3139256"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> acm.org </button> </a>

Multisensor Smart Robot for Border Security Surveillance with Human Action Prediction

<span title="2019-09-05">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/cj3bm7tgcffurfop7xzswxuks4" style="color: black;">VOLUME-8 ISSUE-10, AUGUST 2019, REGULAR ISSUE</a> </i> &nbsp;
The multi-sensor Smart robot is proficient for sensing motion using Passive and also Infrared Sensor, poisonous gas using Gas sensor, fire or blast using Flame Sensor, high temperature using Temperature  ...  To overcome the problem in this paper a new Wireless Multifunctional Smart Robot for Border Security Surveillance with Real Time Object Recognition (OR) system is introduced the proposed robotics system  ...  The proposed activity detection has been worked for single object and multi-objects action predictions.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.35940/ijitee.j1066.08810s19">doi:10.35940/ijitee.j1066.08810s19</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/ptabdxxgcnardcaukwasigs2sy">fatcat:ptabdxxgcnardcaukwasigs2sy</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20220301170907/https://www.ijitee.org/wp-content/uploads/papers/v8i10S/J106608810S19.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/6e/60/6e60b288472e429dba8b6897923c31081958605d.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.35940/ijitee.j1066.08810s19"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>

Towards Better Driver Safety: Empowering Personal Navigation Technologies with Road Safety Awareness [article]

Runsheng Xu, Shibo Zhang, Yue Zhao, Peixi Xiong, Allen Yilun Lin, Brent Hecht, Jiaqi Ma
<span title="2021-12-06">2021</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
Finally, we discuss the factors to consider when extending our road safety classifier to other regions and potential new safety designs enabled by our road safety predictions.  ...  Based on this road safety definition, we then developed a machine learning-based road safety classifier that predicts the safety level for road segments using a diverse feature set constructed only from  ...  With cars becoming increasingly automated and drivers Blaschke. 2018. The rise of deep learning in drug discovery.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2006.03196v5">arXiv:2006.03196v5</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/gxj2kt3vqfdjroraoa47jeowmm">fatcat:gxj2kt3vqfdjroraoa47jeowmm</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20211208094745/https://arxiv.org/pdf/2006.03196v5.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/72/30/723062138408239fece9e746245b73c6cbbccb4a.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2006.03196v5" 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>

Simulation-supervised deep learning for analysing organelles states and behaviour in living cells [article]

Arif Ahmed Sekh and Ida S. Opstad and Rohit Agarwal and Asa Birna Birgisdottir and Truls Myrmel and Balpreet Singh Ahluwalia and Krishna Agarwal and Dilip K. Prasad
<span title="2020-08-26">2020</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
In many real-world scientific problems, generating ground truth (GT) for supervised learning is almost impossible.  ...  We further demonstrate the possibility of performing multi-class classification, tracking, and morphology associated analytics at the scale of individual mitochondrion.  ...  This ground truth is successfully used in various supervised deep learning methods for binary and multi-class segmentation.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2008.12617v1">arXiv:2008.12617v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/2gtdij3csvcovcqetmsrmhnhdy">fatcat:2gtdij3csvcovcqetmsrmhnhdy</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200902013521/https://arxiv.org/pdf/2008.12617v1.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/2008.12617v1" 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>

Learning Semantics-enriched Representation via Self-discovery, Self-classification, and Self-restoration [article]

Fatemeh Haghighi, Mohammad Reza Hosseinzadeh Taher, Zongwei Zhou, Michael B. Gotway, Jianming Liang
<span title="2020-07-14">2020</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
To this end, we train deep models to learn semantically enriched visual representation by self-discovery, self-classification, and self-restoration of the anatomy underneath medical images, resulting in  ...  Medical images are naturally associated with rich semantics about the human anatomy, reflected in an abundance of recurring anatomical patterns, offering unique potential to foster deep semantic representation  ...  Semantic Genesis 2) Self-classification of anatomical patterns: After self-discovery of a set of anatomical patterns, we formulate the representation learning as a C-way multi-class classification task  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2007.06959v1">arXiv:2007.06959v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/aikw2jksvrbnvjigjucjgk7nya">fatcat:aikw2jksvrbnvjigjucjgk7nya</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200721102725/https://arxiv.org/pdf/2007.06959v1.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/2007.06959v1" 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-Driven GeoAI: Integrating Spatial Knowledge into Multi-Scale Deep Learning for Mars Crater Detection

Chia-Yu Hsu, Wenwen Li, Sizhe Wang
<span title="2021-05-28">2021</span> <i title="MDPI AG"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/kay2tsbijbawliu45dnhvyvgsq" style="color: black;">Remote Sensing</a> </i> &nbsp;
Traditional crater detection algorithms suffer from the limitation of working only in a semiautomated or multi-stage manner, and most were developed to handle a specific dataset in a small subarea of Mars  ...  Three innovative features are integrated into our object detection pipeline: (1) a feature pyramid network is leveraged to generate feature maps with rich semantics across multiple object scales; (2) prior  ...  framework to further empower the detection model.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/rs13112116">doi:10.3390/rs13112116</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/647e4dpgvbb7jlqs6y2b46b3ia">fatcat:647e4dpgvbb7jlqs6y2b46b3ia</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20210601052305/https://res.mdpi.com/d_attachment/remotesensing/remotesensing-13-02116/article_deploy/remotesensing-13-02116.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/ab/88/ab881dc3066d9cbc8e8689cbaaf3317e83ee036b.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/rs13112116"> <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>

Now You See Me (CME): Concept-based Model Extraction [article]

Dmitry Kazhdan, Botty Dimanov, Mateja Jamnik, Pietro Liò, Adrian Weller
<span title="2020-10-25">2020</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
A key step to further empowering DNN-based approaches is improving their explainability.  ...  output labels (iii) identify key concept information that can further improve DNN predictive performance (for one of the case studies, we showed how model accuracy can be improved by over 14%, using only  ...  Next, we rely on Semi-Supervised Multi-Task Learning (SSMTL) [26] , in order to extract a function ∶  → , which predicts concept labels from layer 's hidden space.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2010.13233v1">arXiv:2010.13233v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/jh5bv7mbvzbbplijh4hgmmgkhi">fatcat:jh5bv7mbvzbbplijh4hgmmgkhi</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20201029125002/https://arxiv.org/pdf/2010.13233v1.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/62/55/6255b1c0cb94511e81abb1204b5eb3c70ca34ebd.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2010.13233v1" 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>

Critical Success Factors for Lean Implementation Within Sme's in South India

<span title="2019-09-17">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;
Discoveries several primary causes that come to a selection the achievement of actualizing the muse of lean assembling internal SMEs are identified.  ...  a view to check an more and more extra concrete multi-model exam at the loved ones individuals between the two reasons.  ...  Discoveries several primary causes that come to a selection the achievement of actualizing the muse of lean assembling internal SMEs are identified.  ... 
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<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200208050858/https://www.ijrte.org/wp-content/uploads/papers/v8i2S8/B11760882S819.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/17/22/1722ea20290b01ae2416d761b075218dbddd6770.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.35940/ijrte.b1176.0882s819"> <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>

Genion, an accurate tool to detect gene fusion from long transcriptomics reads

Fatih Karaoglanoglu, Cedric Chauve, Faraz Hach
<span title="2022-02-14">2022</span> <i title="Springer Science and Business Media LLC"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/4srzxifvfrdlhjhg3dimznkp7m" style="color: black;">BMC Genomics</a> </i> &nbsp;
Gene fusion discovery with short reads is a well-studied problem, and many methods have been developed.  ...  Background The advent of next-generation sequencing technologies empowered a wide variety of transcriptomics studies.  ...  Calls are colored with simulated ground truth in (a) and Genion predictions in (b) and (c) [44].  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1186/s12864-022-08339-5">doi:10.1186/s12864-022-08339-5</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/35164688">pmid:35164688</a> <a target="_blank" rel="external noopener" href="https://pubmed.ncbi.nlm.nih.gov/PMC8842519/">pmcid:PMC8842519</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/ixauiuvb45e3zn6kzvbpt46dmu">fatcat:ixauiuvb45e3zn6kzvbpt46dmu</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20220421051452/https://bmcgenomics.biomedcentral.com/track/pdf/10.1186/s12864-022-08339-5.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/31/40/314085a62c7c48607ba59cc53d9f6ce6263da096.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1186/s12864-022-08339-5"> <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> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8842519" title="pubmed link"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> pubmed.gov </button> </a>
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