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EXS: Explainable Search Using Local Model Agnostic Interpretability [article]

Jaspreet Singh, Avishek Anand
<span title="2018-09-11">2018</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
EXS is a search system designed specifically to provide its users with insight into the following questions: 'What is the intent of the query according to the ranker?'  ...  Retrieval models in information retrieval are used to rank documents for typically under-specified queries.  ...  LOCAL MODEL AGNOSTIC INTERPRETABILITY FOR RANKING MODELS Local model agnostic interpretability techniques [1, 13, 14] produce explanations for a single decision by linearly approximating the local behavior  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1809.03857v1">arXiv:1809.03857v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/zqs3bbvvyndcje5wjlgdrnddki">fatcat:zqs3bbvvyndcje5wjlgdrnddki</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200908025114/https://arxiv.org/pdf/1809.03857v1.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/b0/44/b0448af1cc85ae571c13024131f7c949c146e7c5.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1809.03857v1" 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>

Ex-Mormon Narratives and Pastoral Apologetics

Seth Payne
<span title="2013-12-01">2013</span> <i title="University of Illinois Press"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/h5izdjliezarblezi6garafww4" style="color: black;">Dialogue : A Journal of Mormon Thought</a> </i> &nbsp;
In general, Anderson and Allred use this term to refer to what they consider inappropriate use or exercise of ecclesiastical authority ranging from a local bishop giving bad financial advice to ward members  ...  in fact, be searching for reasons to stay.  ...  In his essays on pragmatism, William James explained that "the individual has a stock of opinions already, but he meets a new experience that puts them to a strain . . . somebody contradicts them; or in  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.5406/dialjmormthou.46.4.0085">doi:10.5406/dialjmormthou.46.4.0085</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/z7ru66yfszbplkaxhgocdbetvq">fatcat:z7ru66yfszbplkaxhgocdbetvq</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20220210211212/https://watermark.silverchair.com/dialjmormthou.46.4.0085.pdf?token=AQECAHi208BE49Ooan9kkhW_Ercy7Dm3ZL_9Cf3qfKAc485ysgAAAvowggL2BgkqhkiG9w0BBwagggLnMIIC4wIBADCCAtwGCSqGSIb3DQEHATAeBglghkgBZQMEAS4wEQQM49Jq0MfxVB4TX8RuAgEQgIICrTzsn_gOENab99IykK81zCmkN5JYCwm4cEo4QnpbZZ0S4aTw-pb-XyNIAPXdrpVcWUK3yQyl98d-K6k70qIuw0pdGRqxDJNG6nc4w-2kLUCp9pb71GF2dpcCR_TbmLaogwqLoEXvDHAwt9eF2cOOBrtKlUHbTc9MXnJubv_eZ3IJk2eCpOjILejfFbpGe2fR8yN4lw6rijh-0tg4eyhXvDS9WonRQcEI4BIxMy3faFz3QmNRDvyyjLck2N-MhFl1lIi2RkgjJDIwIwKNIBya9yLB9dcEc6J8UHC83qjsWdcJsN3rqe4Z0f4ycJXFImlbvq-kRKX7D9tfOazSmmxfO0ZTB5lowX2npzbT0RcqmQ3gpbaWOZyIRoz64Nt9TCcw2QB4Z7LRMRbMAU-y38J7_n17-QxqiFhL0U4rbfm33hd5U3-mWRGJRSaRKi3-Nd1OxdRXd6NNffsTWdu1oatGOYC8g6DS99w6xAvg3W-VAZgcoEDl8glZAHQmMkbS994-AwGMyIXLKRoRpL23KDqE7zruzfDHFVMe-ttGTuBTgBKHN8sil4isBU8b_LPx9YonPAs7bRAuXd5cibkBntZhkipI_CdaTdQ2mukkAFLYw5NvWiCO1cxna67tZJmIM7q1ByLdf60Nx_iyL5xXO9J67LQLfWn1JoxApPiw0Z-R00SChrR-6iXRoe1Yr0eTJenw2Tp8V-_du9LTv9nZDTMsogYt6VMKwtbLAVRiuxCw3fGZJZWbiSxNdZQi5-g2t1cAVnMvzTVM3oibV2Ba83LvhMIpmgCsZVnUQP9U_9kCC_WWaurCEYsqe06sHUyOCn0KTYxNNcR2S_Mf25tfPp2pzMj8GSbHNG6APLrfVtKg4DVihI2zB3gUCMdoyl40LThbRliKbEUhe-p4EpeFjXU" 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/d4/9d/d49d4fcc1c7288efae54463d501d6e3a7c9bdd68.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.5406/dialjmormthou.46.4.0085"> <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>

Recovering Ex Ante Returns and Preferences for Occupations Using Subjective Expectations Data

Peter Arcidiacono, V. Joseph Hotz, Arnaud Maurel, Teresa Romano
<span title="">2014</span> <i title="Elsevier BV"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/tol7woxlqjeg5bmzadeg6qrg3e" style="color: black;">Social Science Research Network</a> </i> &nbsp;
We then propose a model of occupational choice which allows us to link subjective data on earnings and choice probabilities with the non-pecuniary preferences for each occupation.  ...  In this paper we focus on the choice of occupation, and use elicited beliefs from a sample of male undergraduates at Duke University.  ...  Complementing this literature, we use data that directly elicits agents' ex ante returns, thus allowing us to remain agnostic about how agents form their information sets.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.2139/ssrn.2513389">doi:10.2139/ssrn.2513389</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/6shnpn7cv5auhdqtrbjsnz4bhu">fatcat:6shnpn7cv5auhdqtrbjsnz4bhu</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20150909114358/http://public.econ.duke.edu/~psarcidi/subocc.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/f9/54f98e4f537af4a18cc45b9f6dae5ac110890f27.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.2139/ssrn.2513389"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> ssrn.com </button> </a>

LIMREF: Local Interpretable Model Agnostic Rule-based Explanations for Forecasting, with an Application to Electricity Smart Meter Data [article]

Dilini Rajapaksha, Christoph Bergmeir
<span title="2022-02-15">2022</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
In order to explain the global model forecasts, we propose Local Interpretable Model-agnostic Rule-based Explanations for Forecasting (LIMREF), a local explainer framework that produces k-optimal impact  ...  rules for a particular forecast, considering the global forecasting model as a black-box model, in a model-agnostic way.  ...  Acknowledgements We sincerely thank Hansika Hewamalage for supporting us in the global modelling part by replicating the global forecasting model developed for the previous competition, IEEE-CIS technical  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2202.07766v1">arXiv:2202.07766v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/pfqbqduwmrcvfdb4rtfats4rzu">fatcat:pfqbqduwmrcvfdb4rtfats4rzu</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20220218183630/https://arxiv.org/pdf/2202.07766v1.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/88/7b/887b8a4be2838eae0880bca36ef93fd415af2c38.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2202.07766v1" 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>

Evaluating Local Model-Agnostic Explanations of Learning to Rank Models with Decision Paths [article]

Amir Hossein Akhavan Rahnama, Judith Butepage
<span title="2022-03-16">2022</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
We show that the explanation accuracy in these techniques can largely vary depending on the explained model and even which data point is explained.  ...  Local explanations of learning-to-rank (LTR) models are thought to extract the most important features that contribute to the ranking predicted by the LTR model for a single data point.  ...  We compare the explanation accuracy of two recent explanation techniques for LTR models, namely Locally Interpretable Ranking Model Explanations (LIRME) [29] and Explainable Search (EXS) [27] .  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2203.02295v2">arXiv:2203.02295v2</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/u6bvsiutqbb5rhhslf3ue7gptu">fatcat:u6bvsiutqbb5rhhslf3ue7gptu</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20220320142119/https://arxiv.org/pdf/2203.02295v2.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/97/0c/970cf94bccf0939e4e81e0646eb663aed50ba781.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2203.02295v2" 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>

Extracellular vesicles from bone marrow-derived mesenchymal stromal cells support ex vivo survival of human antibody secreting cells

Doan C. Nguyen, Holly C. Lewis, Chester Joyner, Vivien Warren, Haopeng Xiao, Haydn T. Kissick, Ronghu Wu, Jacques Galipeau, F. Eun-Hyung Lee
<span title="">2018</span> <i title="Informa UK Limited"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/54x42hzx4zg67l77khyvk7qopm" style="color: black;">Journal of Extracellular Vesicles</a> </i> &nbsp;
IgG Elispots were used to measure the survival and functionality of the ASC. Contents of the EV fractions were evaluated by proteomics.  ...  Human ASC were isolated via fluorescence-activated cell sorting (FACS) and cultured ex vivo with the EV fractions, the EV-reduced fractions, or conventional media.  ...  All MS 2 spectra were searched using the SEQUEST algorithm (version 28) [56] .  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1080/20013078.2018.1463778">doi:10.1080/20013078.2018.1463778</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/29713426">pmid:29713426</a> <a target="_blank" rel="external noopener" href="https://pubmed.ncbi.nlm.nih.gov/PMC5917896/">pmcid:PMC5917896</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/2f37vjzneffjphvv22mawm53ue">fatcat:2f37vjzneffjphvv22mawm53ue</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20190302193912/http://pdfs.semanticscholar.org/bb38/85433124fdea2357529c3a97954a4b6904ab.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/bb/38/bb3885433124fdea2357529c3a97954a4b6904ab.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1080/20013078.2018.1463778"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> tandfonline.com </button> </a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5917896" title="pubmed link"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> pubmed.gov </button> </a>

Shared behavioral mechanisms underlie C. elegans aggregation and swarming

Siyu Serena Ding, Linus J Schumacher, Avelino E Javer, Robert G Endres, André EX Brown
<span title="2019-04-25">2019</span> <i title="eLife Sciences Publications, Ltd"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/en4qj5ijrbf5djxx7p5zzpjyoq" style="color: black;">eLife</a> </i> &nbsp;
Here, we investigate collective feeding in the roundworm C. elegans at this intermediate scale, using quantitative phenotyping and agent-based modeling to identify behavioral rules underlying both aggregation  ...  Our simulations suggest that swarming is simply driven by local food depletion but otherwise employs the same behavioral mechanisms as the initial aggregation.  ...  This work has made use of the resources provided by the Imperial College Research Computing Service (DOI: 10.14469/hpc/2232) and the Edinburgh Compute and Data Facility (ECDF) (http://www.ecdf.ed.ac.uk  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.7554/elife.43318">doi:10.7554/elife.43318</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/31021320">pmid:31021320</a> <a target="_blank" rel="external noopener" href="https://pubmed.ncbi.nlm.nih.gov/PMC6522220/">pmcid:PMC6522220</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/eaujcw4axfggziaguz7ryvs5g4">fatcat:eaujcw4axfggziaguz7ryvs5g4</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200310005930/https://spiral.imperial.ac.uk:8443/bitstream/10044/1/70267/7/elife-43318-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/fb/04/fb047481f9db22f363057734de634744d6a738f5.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.7554/elife.43318"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> elifesciences.com </button> </a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6522220" title="pubmed link"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> pubmed.gov </button> </a>

Explainable Predictive Modeling for Limited Spectral Data [article]

Frantishek Akulich, Hadis Anahideh, Manaf Sheyyab, Dhananjay Ambre
<span title="2022-02-09">2022</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
In this paper, we investigate the most commonly used feature selection techniques and introduce applying recent explainable AI techniques to interpret the prediction outcomes of high-dimensional and limited  ...  Interpretation of the prediction outcome is beneficial for the domain experts as it ensures the transparency and faithfulness of the ML models to the domain knowledge.  ...  using Local Interpretable Model-Agnostic Explanations (LIME) [28] on optical emission spectroscopy of plasma [29] .  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2202.04527v1">arXiv:2202.04527v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/a3ai5acrrbcwzbmbbh4dt2bcby">fatcat:a3ai5acrrbcwzbmbbh4dt2bcby</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20220211005859/https://arxiv.org/pdf/2202.04527v1.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/7c/e1/7ce1d63f60e444f718cfa68e9a874fbe40e6e9d4.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2202.04527v1" 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>

Congress, Ex Parte Young, and the Fate of the Three-Judge District Court

Michael E. Solimine
<span title="2008-04-26">2008</span> <i title="University Library System, University of Pittsburgh"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/n6z2j53rzfcl3gyvjpg2w42lfm" style="color: black;">University of Pittsburgh law review</a> </i> &nbsp;
Congress enacted legislation requiring that Ex parte Young injunctions only be issued by a specially convened three-judge district court.  ...  The federal judiciary itself later questioned the court's usefulness due to the administrative burdens of convening such courts, and the perception that their role in enforcing federal law was no longer  ...  The Johnson Act was passed 26 years after Ex parte Young, and the delay is explained in part by the growth in the interim of the size and influence of local utilities, which in turn led to their regulation  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.5195/lawreview.2008.122">doi:10.5195/lawreview.2008.122</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/232hhlp42rcmxhiw2hxspshwqm">fatcat:232hhlp42rcmxhiw2hxspshwqm</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170921234832/https://lawreview.law.pitt.edu/ojs/index.php/lawreview/article/download/122/122" 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/08/4a/084a374682cbb7de3728d730d1b72fc1d0951fd0.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.5195/lawreview.2008.122"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>

A Comprehensive Taxonomy for Explainable Artificial Intelligence: A Systematic Survey of Surveys on Methods and Concepts [article]

Gesina Schwalbe, Bettina Finzel
<span title="2022-05-17">2022</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
Hence, it provides foundations for targeted, use-case-oriented, and context-sensitive future research.  ...  In the meantime, a wide variety of terminologies, motivations, approaches, and evaluation criteria have been developed within the research field of explainable artificial intelligence (XAI).  ...  A prominent example of heatmapping that is both applicable to images and text inputs is the model-agnostic LIME (Ribeiro et al, 2016) method (Local Interpretable Model-agnostic Explanations).  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2105.07190v3">arXiv:2105.07190v3</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/zy7vl6o4gzcbrpqkrxeyazyeuq">fatcat:zy7vl6o4gzcbrpqkrxeyazyeuq</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20220520182157/https://arxiv.org/pdf/2105.07190v3.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/33/ae/33ae976d272a02576996a5070d38626ba931daff.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2105.07190v3" 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>

Multilingual Ontologies for Cross-Language Information Extraction and Semantic Search [chapter]

David W. Embley, Stephen W. Liddle, Deryle W. Lonsdale, Yuri Tijerino
<span title="">2011</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;
Valuable local information is often available on the web, but encoded in a foreign language that non-local users do not understand.  ...  Results from an implemented early prototype demonstrate the feasibility of cross-language information extraction and semantic search.  ...  results in Figure 6 for Extraction in English on English car ads (ExE), Extraction in Japanese on Japanese car ads (ExJ), Query interpretation for free-form English queries (QiE), Query interpretation  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/978-3-642-24606-7_12">doi:10.1007/978-3-642-24606-7_12</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/752v3kaynzgznaxx4upzjwtrka">fatcat:752v3kaynzgznaxx4upzjwtrka</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170812104705/http://www.deg.byu.edu/papers/MultilingualOntologies.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/68/84/688441a96b6da61295c7df39b70db2f28531370a.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/978-3-642-24606-7_12"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> springer.com </button> </a>

Towards Explainable Artificial Intelligence in Banking and Financial Services [article]

Ambreen Hanif
<span title="2021-12-14">2021</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
We introduce a novel XAI process, which facilitates producing explainable models while maintaining a high level of learning performance.  ...  In this paper, to address this challenge, we study and analyze the recent work done in Explainable Artificial Intelligence (XAI) methods and tools.  ...  Local interpretable model-agnostic explanations (LIME), proposed in the reference 57 , is a local surrogate model.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2112.08441v1">arXiv:2112.08441v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/egl7vitsajfrreymata7tcc7zi">fatcat:egl7vitsajfrreymata7tcc7zi</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20211228040542/https://arxiv.org/pdf/2112.08441v1.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/c8/22c87ad1df630f290cb9fc0a4b4f5496d9f185ee.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2112.08441v1" 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>

ReLACE: Reinforcement Learning Agent for Counterfactual Explanations of Arbitrary Predictive Models [article]

Ziheng Chen, Fabrizio Silvestri, Gabriele Tolomei, He Zhu, Jia Wang, Hongshik Ahn
<span title="2021-10-22">2021</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
The demand for explainable machine learning (ML) models has been growing rapidly in recent years.  ...  In this work, we aim to overcome these limitations and introduce a model-agnostic algorithm to generate optimal counterfactual explanations.  ...  Model-agnostic. (Guidotti et al. 2018) introduce LORE, a model-agnostic explainer.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2110.11960v1">arXiv:2110.11960v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/myvg3nvbvrcoznastkk45tnnt4">fatcat:myvg3nvbvrcoznastkk45tnnt4</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20211110160107/https://arxiv.org/pdf/2110.11960v1.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/df/76/df764f7996377b2c0095715ed74b405460da1e87.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2110.11960v1" 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>

Explainable Image Classification with Evidence Counterfactual [article]

Tom Vermeire, David Martens
<span title="2020-04-16">2020</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
The complexity of state-of-the-art modeling techniques for image classification impedes the ability to explain model predictions in an interpretable way.  ...  Counterfactual explanation methods are considered promising to explain complex model decisions, since they are associated with a high degree of human interpretability.  ...  As a result, state-of-the-art image classification models are used in a black-box way, without being able to explain model decisions.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2004.07511v1">arXiv:2004.07511v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/l7shv5hhbneh5m4bmlnrjoxqdu">fatcat:l7shv5hhbneh5m4bmlnrjoxqdu</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200418012632/https://arxiv.org/pdf/2004.07511v1.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/2004.07511v1" 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>

Gaining Free or Low-Cost Transparency with Interpretable Partial Substitute [article]

Tong Wang
<span title="2019-05-10">2019</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
To train a HyRS, we devise an efficient search algorithm that iteratively finds the optimal model and exploits theoretically grounded strategies to reduce computation.  ...  Our framework is agnostic to the black-box during training. Experiments on structured and text data show that HyRS obtains an effective trade-off between transparency and interpretability.  ...  ., 2016 ) that explains the predictions of any classifier by learning a linear model locally around the prediction.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1802.04346v2">arXiv:1802.04346v2</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/htexevg4jzcfjmubilpa56e6xy">fatcat:htexevg4jzcfjmubilpa56e6xy</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200831044416/https://arxiv.org/pdf/1802.04346v2.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/89/ea894ce984e82b4731300871665dcf172a0a791b.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1802.04346v2" 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>
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