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Three Suggestions from Neil Shah to Help Cut TKI Costs

Robert H. Carlson
<span title="">2014</span> <i title="Ovid Technologies (Wolters Kluwer Health)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/63zkmtcukjbdrd7n2xjxod4m3e" style="color: black;">Oncology Times</a> </i> &nbsp;
Three Suggestions from Neil Shah to Help Cut TKI Costs BY ROBERT H.  ...  NEIL P.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1097/01.cot.0000459143.19344.15">doi:10.1097/01.cot.0000459143.19344.15</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/km3p5jia6rh2hkatde5dtmnxv4">fatcat:km3p5jia6rh2hkatde5dtmnxv4</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20180730183604/https://pdfs.journals.lww.com/oncology-times/2014/12100/Three_Suggestions_from_Neil_Shah_to_Help_Cut_TKI.17.pdf?token=method|ExpireAbsolute;source|Journals;ttl|1532976349560;payload|mY8D3u1TCCsNvP5E421JYK6N6XICDamxByyYpaNzk7FKjTaa1Yz22MivkHZqjGP4kdS2v0J76WGAnHACH69s21Csk0OpQi3YbjEMdSoz2UhVybFqQxA7lKwSUlA502zQZr96TQRwhVlocEp/sJ586aVbcBFlltKNKo+tbuMfL73hiPqJliudqs17cHeLcLbV/CqjlP3IO0jGHlHQtJWcICDdAyGJMnpi6RlbEJaRheGeh5z5uvqz3FLHgPKVXJzdVSccpjyZsZb6SyvftA6EC8x89wlVbLhQBfEZvIQkoXhmWNfWCymG5NOSjmKlIXdL;hash|GFn4csslpq5ow59HctnP8g==" 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/11/35/1135e51c07e4367163eb7ab28d02f34a04b95351.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1097/01.cot.0000459143.19344.15"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>

FLOCK: Combating Astroturfing on Livestreaming Platforms [article]

Neil Shah
<span title="2016-10-04">2016</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
Livestreaming platforms have become increasingly popular in recent years as a means of sharing and advertising creative content. Popular content streamers who attract large viewership to their live broadcasts can earn a living by means of ad revenue, donations and channel subscriptions. Unfortunately, this incentivized popularity has simultaneously resulted in incentive for fraudsters to provide services to astroturf, or artificially inflate viewership metrics by providing fake "live" views to
more &raquo; ... ustomers. Our work provides a number of major contributions: (a) formulation: we are the first to introduce and characterize the viewbot fraud problem in livestreaming platforms, (b) methodology: we propose FLOCK, a principled and unsupervised method which efficiently and effectively identifies botted broadcasts and their constituent botted views, and (c) practicality: our approach achieves over 98% precision in identifying botted broadcasts and over 90% precision/recall against sizable synthetically generated viewbot attacks on a real-world livestreaming workload of over 16 million views and 92 thousand broadcasts. FLOCK successfully operates on larger datasets in practice and is regularly used at a large, undisclosed livestreaming corporation.
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1610.01096v1">arXiv:1610.01096v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/gnca545n75hwdn7vul7dv53hfy">fatcat:gnca545n75hwdn7vul7dv53hfy</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200908040401/https://arxiv.org/pdf/1610.01096v1.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/f7/72/f772ab166b082b64afdd64e5ecdca7a50720569a.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1610.01096v1" 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>

Attributed Graph Modeling with Vertex Replacement Grammars [article]

Satyaki Sikdar, Neil Shah, Tim Weninger
<span title="2021-10-13">2021</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
Recent work at the intersection of formal language theory and graph theory has explored graph grammars for graph modeling. However, existing models and formalisms can only operate on homogeneous (i.e., untyped or unattributed) graphs. We relax this restriction and introduce the Attributed Vertex Replacement Grammar (AVRG), which can be efficiently extracted from heterogeneous (i.e., typed, colored, or attributed) graphs. Unlike current state-of-the-art methods, which train enormous models over
more &raquo; ... omplicated deep neural architectures, the AVRG model is unsupervised and interpretable. It is based on context-free string grammars and works by encoding graph rewriting rules into a graph grammar containing graphlets and instructions on how they fit together. We show that the AVRG can encode succinct models of input graphs yet faithfully preserve their structure and assortativity properties. Experiments on large real-world datasets show that graphs generated from the AVRG model exhibit substructures and attribute configurations that match those found in the input networks.
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2110.06410v1">arXiv:2110.06410v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/yxa4fjo2rzcb5d6t66q3anv564">fatcat:yxa4fjo2rzcb5d6t66q3anv564</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20211016205816/https://arxiv.org/pdf/2110.06410v1.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/44/5e/445e3d34d10d1b27ee9af2fc9e587e504f62f472.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2110.06410v1" 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>

Distal Radius Fractures Overview

Jawad Khan, Neil Shah
<span title="2014-11-17">2014</span> <i title="Library of Medicine, LLC"> Reviews at LibraryOfMedicine.com </i> &nbsp;
Distal radius fractures are very common orthopaedic injuries, accounting for approximately 20% of all fractures. The most common mechanism of injury is usually a fall onto an outstretched hand. Nonoperative treatments include splint or cast immobilization with or without closed reduction (bone setting). Operative treatments include percutaneous pinning, external fixation, and volar or dorsal plating. Both non-operative and operative treatments can be successful depending on their application in
more &raquo; ... the right situations. Although not common, complications can occur with any treatment modality. Background Information The wrist is made of several bones of the hand, called carpal bones and the two bones of the forearm, the radius and ulna. A wrist fracture refers to a break in one of those bones. The radius is the larger of the two bones of the forearm and the distal radius is at the end near the wrist where it lies on the side closest to the thumb. There are over 600,000 distal radius fractures each year seen in emergency rooms and they are more common in younger male patients and older female patients. Pediatric patients also experience a high incidence of distal radius fractures that can involve the growth plate. ~ 2 ~ Volume 1 Number 2 wrist were positioned at impact. Higher energy trauma such as motorcycle and motor vehicle related accidents are also common causes. How do we diagnose it? What are the symptoms? Patients typically present to an emergency department or urgent care with a history of a fall or other type of injury and subsequent pain with a deformity at the wrist. The pain and misshapen wrist can be accompanied by localized tenderness, swelling, tingling, bruising and pain with any type of range of motion at their wrist. It is essential to perform a careful motor and sensory exam of the wrist and hand to identify any possible nerve, blood vessel, or tendon injury. ~ 6 ~
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.16963/rlom.v1i2.3">doi:10.16963/rlom.v1i2.3</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/6tojyhutyjbfpowu6uknoga6ua">fatcat:6tojyhutyjbfpowu6uknoga6ua</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170520062228/http://journal.libraryofmedicine.com:80/index.php/LOM/article/viewFile/3/3" 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/f8/62f8eb474b999aaa8ed13a6108ff71691875bff7.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.16963/rlom.v1i2.3"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>

FLOCK

Neil Shah
<span title="">2017</span> <i title="ACM Press"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/s4hirppq3jalbopssw22crbwwa" style="color: black;">Proceedings of the 26th International Conference on World Wide Web - WWW &#39;17</a> </i> &nbsp;
Livestreaming platforms have become increasingly popular in recent years as a means of sharing and advertising creative content. Popular content streamers who attract large viewership to their live broadcasts can earn a living by means of ad revenue, donations and channel subscriptions. Unfortunately, this incentivized popularity has simultaneously resulted in incentive for fraudsters to provide services to astroturf, or artificially inflate viewership metrics by providing fake "live" views to
more &raquo; ... ustomers. Our work provides a number of major contributions: (a) formulation: we are the first to introduce and characterize the viewbot fraud problem in livestreaming platforms, (b) methodology: we propose FLOCK, a principled and unsupervised method which efficiently and effectively identifies botted broadcasts and their constituent botted views, and (c) practicality: our approach achieves over 98% precision in identifying botted broadcasts and over 90% precision/recall against sizable synthetically generated viewbot attacks on a real-world livestreaming workload of over 16 million views and 92 thousand broadcasts. FLOCK successfully operates on larger datasets in practice and is regularly used at a large, undisclosed livestreaming corporation.
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1145/3038912.3052617">doi:10.1145/3038912.3052617</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/www/Shah17.html">dblp:conf/www/Shah17</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/pdayz5gpxjexhc2cj3r23bzoku">fatcat:pdayz5gpxjexhc2cj3r23bzoku</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170401081013/http://www.cs.cmu.edu:80/~neilshah/research/papers/FLOCK.WWW.17.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/c6/38/c6388ec49035de9267be8f2d44e4f9ab042d7ad5.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1145/3038912.3052617"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> acm.org </button> </a>

Impact of Contextual Factors on Snapchat Public Sharing [article]

Hana Habib, Neil Shah, Rajan Vaish
<span title="2019-03-17">2019</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
Public sharing is integral to online platforms. This includes the popular multimedia messaging application Snapchat, on which public sharing is relatively new and unexplored in prior research. In mobile-first applications, sharing contexts are dynamic. However, it is unclear how context impacts users' sharing decisions. As platforms increasingly rely on user-generated content, it is important to also broadly understand user motivations and considerations in public sharing. We explored these
more &raquo; ... cts of content sharing through a survey of 1,515 Snapchat users. Our results indicate that users primarily have intrinsic motivations for publicly sharing Snaps, such as to share an experience with the world, but also have considerations related to audience and sensitivity of content. Additionally, we found that Snaps shared publicly were contextually different from those privately shared. Our findings suggest that content sharing systems can be designed to support sharing motivations, yet also be sensitive to private contexts.
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1903.07033v1">arXiv:1903.07033v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/gk37hapxz5a2rllrj5u7yj6cp4">fatcat:gk37hapxz5a2rllrj5u7yj6cp4</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200831023807/https://arxiv.org/pdf/1903.07033v1.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/49/1e/491e5e4f9444ee22d8c8a58a26eacd7f2a9f8e98.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1903.07033v1" 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>

S-index: Towards Better Metrics for Quantifying Research Impact [article]

Neil Shah, Yang Song
<span title="2015-07-13">2015</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
The ongoing growth in the volume of scientific literature available today precludes researchers from efficiently discerning the relevant from irrelevant content. Researchers are constantly interested in impactful papers, authors and venues in their respective fields. Moreover, they are interested in the so-called recent "rising stars" of these contexts which may lead to attractive directions for future work, collaborations or impactful publication venues. In this work, we address the problem of
more &raquo; ... quantifying research impact in each of these contexts, in order to better direct attention of researchers and streamline the processes of comparison, ranking and evaluation of contribution. Specifically, we begin by outlining intuitive underlying assumptions that impact quantification methods should obey and evaluate when current state-of-the-art methods fail to satisfy these properties. To this end, we introduce the s-index metric which quantifies research impact through influence propagation over a heterogeneous citation network. s-index is tailored from these intuitive assumptions and offers a number of desirable qualities including robustness, natural temporality and straightforward extensibility from the paper impact to broader author and venue impact contexts. We evaluate its effectiveness on the publicly available Microsoft Academic Search citation graph with over 119 million papers and 1 billion citation edges with 103 million and 21 thousand associated authors and venues respectively.
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1507.03650v1">arXiv:1507.03650v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/5tudvypuojbmdkyhnlclckgls4">fatcat:5tudvypuojbmdkyhnlclckgls4</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200913155514/https://arxiv.org/pdf/1507.03650v1.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/38/6f/386f19043fd658a4005e425039e856ff2ad9bf01.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1507.03650v1" 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>

False Information on Web and Social Media: A Survey [article]

Srijan Kumar, Neil Shah
<span title="2018-04-23">2018</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
Shah et al.  ...  Figure 7 shows an example from Shah et al.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1804.08559v1">arXiv:1804.08559v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/2qv3tigktzdnvpe37mef3mrg4a">fatcat:2qv3tigktzdnvpe37mef3mrg4a</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20191022135033/https://arxiv.org/pdf/1804.08559v1.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/de/1f/de1f192f34f4521ed5cabc8db1ff608c5ee11bcc.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1804.08559v1" 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>

Optimistic update bias holds firm: Three tests of robustness following Shah et al

Neil Garrett, Tali Sharot
<span title="">2017</span> <i title="Elsevier BV"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/rkdkfyf6d5fjxo2hvbg4s5xz54" style="color: black;">Consciousness and Cognition</a> </i> &nbsp;
Recently, a paper by Shah et al. claimed that this asymmetry does not exist.  ...  Here we carefully examine the experiments and simulations described in Shah et al. and follow their analytic approach on our data sets.  ...  The latter phenomenon, first described by Neil Weinstein (Weinstein, 1980) , has since been supported by a large body of evidence (Armor & Taylor, 2002; Regan, Snyder, & Kassin, 1995; Shepperd, Helweg-Larsen  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/j.concog.2016.10.013">doi:10.1016/j.concog.2016.10.013</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/27836628">pmid:27836628</a> <a target="_blank" rel="external noopener" href="https://pubmed.ncbi.nlm.nih.gov/PMC5380127/">pmcid:PMC5380127</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/qunujgaz4jeznefdavbagkrbga">fatcat:qunujgaz4jeznefdavbagkrbga</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170922154409/http://publisher-connector.core.ac.uk/resourcesync/data/elsevier/pdf/036/aHR0cDovL2FwaS5lbHNldmllci5jb20vY29udGVudC9hcnRpY2xlL3BpaS9zMTA1MzgxMDAxNjMwMDgwMA%3D%3D.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/ba/a6/baa61ca6eefc6a479c7cd95e14a238b4aae28ca9.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/j.concog.2016.10.013"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> elsevier.com </button> </a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5380127" title="pubmed link"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> pubmed.gov </button> </a>

Assessing Screening Guidelines for Cardiovascular Disease Risk Factors using Routinely Collected Data

Jaspreet Pannu, Sarah Poole, Neil Shah, Nigam H. Shah
<span title="2017-07-26">2017</span> <i title="Springer Nature"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/tnqhc2x2aneavcd3gx5h7mswhm" style="color: black;">Scientific Reports</a> </i> &nbsp;
This study investigates if laboratory data can be used to assess whether physician-retesting patterns are in line with established guidelines, and if these guidelines identify deteriorating patients in a timely manner. A total of 7594 patients with high cholesterol were studied, along with 2764 patients with diabetes. More than 90% of borderline high cholesterol patients are retested within the 3 year recommended period, however less than 75% of pre-diabetic patients have repeated tests within
more &raquo; ... he suggested 1-year time frame. Patients with borderline high cholesterol typically progress to full high cholesterol in 2-3 years, and pre-diabetic patients progress to full diabetes in 1-2 years. Data from routinely ordered laboratory tests can be used to monitor adherence to clinical guidelines. These data may also be useful in the design of adaptive testing strategies that reduce unnecessary testing, while ensuring that patient deterioration is identified in a timely manner. Established guidelines for testing of total serum cholesterol for hypercholesterolemia are appropriate and are well-adhered to, whereas guidelines for glycated hemoglobin A1c testing for type 2 diabetes mellitus could be improved to bring them in line with current practice and avoid unnecessary testing.
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1038/s41598-017-06492-6">doi:10.1038/s41598-017-06492-6</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/28747722">pmid:28747722</a> <a target="_blank" rel="external noopener" href="https://pubmed.ncbi.nlm.nih.gov/PMC5529363/">pmcid:PMC5529363</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/zss3cj3vmjemdcrmpk5gxys2ia">fatcat:zss3cj3vmjemdcrmpk5gxys2ia</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200210223601/http://europepmc.org/backend/ptpmcrender.fcgi?accid=PMC5529363&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/28/e2/28e250f4ed2029919af4d1a0c7650af6806cffea.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1038/s41598-017-06492-6"> <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> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5529363" title="pubmed link"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> pubmed.gov </button> </a>

FAIROD: Fairness-aware Outlier Detection [article]

Shubhranshu Shekhar, Neil Shah, Leman Akoglu
<span title="2020-12-05">2020</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
Fairness and Outlier Detection (OD) are closely related, as it is exactly the goal of OD to spot rare, minority samples in a given population. When being a minority (as defined by protected variables, e.g. race/ethnicity/sex/age) does not reflect positive-class membership (e.g. criminal/fraud), however, OD produces unjust outcomes. Surprisingly, fairness-aware OD has been almost untouched in prior work, as fair machine learning literature mainly focus on supervised settings. Our work aims to
more &raquo; ... dge this gap. Specifically, we develop desiderata capturing well-motivated fairness criteria for OD, and systematically formalize the fair OD problem. Further, guided by our desiderata, we propose FairOD, a fairness-aware outlier detector, which has the following, desirable properties: FairOD (1) does not employ disparate treatment at test time, (2) aims to flag equal proportions of samples from all groups (i.e. obtain group fairness, via statistical parity), and (3) strives to flag truly high-risk fraction of samples within each group. Extensive experiments on a diverse set of synthetic and real world datasets show that FairOD produces outcomes that are fair with respect to protected variables, while performing comparable to (and in some cases, even better than) fairness-agnostic detectors in terms of detection performance.
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2012.03063v1">arXiv:2012.03063v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/rvmzpyade5dudn5hkk3dkf3cfm">fatcat:rvmzpyade5dudn5hkk3dkf3cfm</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20210909101939/https://arxiv.org/pdf/2012.03063v2.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/23/24/2324d25fcbeb11d04dd2956026a5c4d68eac54dd.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2012.03063v1" 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>

Direct determination of diploid genome sequences [article]

Neil I Weisenfeld, Vijay Kumar, Preyas Shah, Deanna Church, David B Jaffe
<span title="2016-08-19">2016</span> <i title="Cold Spring Harbor Laboratory"> bioRxiv </i> &nbsp; <span class="release-stage" >pre-print</span>
Determining the genome sequence of an organism is challenging, yet fundamental to understanding its biology. Over the past decade, thousands of human genomes have been sequenced, contributing deeply to biomedical research. In the vast majority of cases, these have been analyzed by aligning sequence reads to a single reference genome, biasing the resulting analyses and, in general, failing to capture sequences novel to a given genome. Some de novo assemblies have been constructed, free of
more &raquo; ... ce bias, but nearly all were constructed by merging homologous loci into single 'consensus' sequences, generally absent from nature. These assemblies do not correctly represent the diploid biology of an individual. In exactly two cases, true diploid de novo assemblies have been made, at great expense. One was generated using Sanger sequencing and one using thousands of clone pools. Here we demonstrate a straightforward and low-cost method for creating true diploid de novo assemblies. We make a single library from ~1 ng of high molecular weight DNA, using the 10x Genomics microfluidic platform to partition the genome. We applied this technique to seven human samples, generating low-cost HiSeq X data, then assembled these using a new 'pushbutton' algorithm, Supernova. Each computation took two days on a single server. Each yielded contigs longer than 100 kb, phase blocks longer than 2.5 Mb, and scaffolds longer than 15 Mb. Our method provides a scalable capability for determining the actual diploid genome sequence in a sample, opening the door to new approaches in genomic biology and medicine.
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1101/070425">doi:10.1101/070425</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/yvppv4snebfnzkixyjtxlbo2nm">fatcat:yvppv4snebfnzkixyjtxlbo2nm</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20190504140650/https://www.biorxiv.org/content/biorxiv/early/2016/08/19/070425.full.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/e2/fbe297473f9ead43364f771e07d8f5014968cf48.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1101/070425"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> biorxiv.org </button> </a>

Effectiveness of Generative Adversarial Network for Non-Audible Murmur-to-Whisper Speech Conversion

Neil Shah, Nirmesh Shah, Hemant Patil
<span title="2018-09-02">2018</span> <i title="ISCA"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/trpytsxgozamtbp7emuvz2ypra" style="color: black;">Interspeech 2018</a> </i> &nbsp;
The murmur produced by the speaker and captured by the Non-Audible Murmur (NAM)-one of the Silent Speech Interface (SSI) technique, suffers from the speech quality degradation. This is due to the lack of radiation effect at the lips and lowpass nature of the soft tissue, which attenuates the high frequencyrelated information. In this work, a novel method for NAM-to-Whisper (NAM2WHSP) speech conversion incorporating Generative Adversarial Network (GAN) is proposed. The GAN minimizes the
more &raquo; ... ional divergence between the whispered speech and the generated speech parameters (through adversarial optimization). The objective and subjective evaluation performed on the proposed system, justifies the ability of adversarial optimization over Maximum Likelihood (ML)-based optimization networks, such as a Deep Neural Network (DNN), in preserving and improving the speech quality and intelligibility. The adversarial optimization learns the mapping function with 54.2 % relative improvement in MOS and 29.83 % absolute reduction in % WER w.r.t. the state-of-the-art mapping techniques. Furthermore, we evaluated the proposed framework by analyzing the level of contextual information and the number of training utterances required for optimizing the network parameters, for the given task and database. Index Terms: Non-Audible Murmur (NAM), generative adversarial network (GAN), whispered speech.
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.21437/interspeech.2018-1565">doi:10.21437/interspeech.2018-1565</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/interspeech/ShahSP18.html">dblp:conf/interspeech/ShahSP18</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/pml3utdhmbaprkafetutlwqrfi">fatcat:pml3utdhmbaprkafetutlwqrfi</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20190304130055/http://pdfs.semanticscholar.org/bdfe/1762702114ac31c86192247236696cc64a3c.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/bd/fe/bdfe1762702114ac31c86192247236696cc64a3c.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.21437/interspeech.2018-1565"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>

Fast and Accurate Real-time Inference with Graph-less Neural Networks

Neil Shah
<span title="2022-05-02">2022</span> <i title="Zenodo"> Zenodo </i> &nbsp;
Graph-less Neural Networks: Teaching Old MLPs new Tricks via Distillation (Zhang, Liu, Sun, Shah. ICLR'22)  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.5281/zenodo.6512208">doi:10.5281/zenodo.6512208</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/2yzbojo5zra4bpofsrihayf3gu">fatcat:2yzbojo5zra4bpofsrihayf3gu</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20220503122509/https://zenodo.org/record/6512209/files/FastAndAccurateInferenceWithGLNNs.KGC.22.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/c4/65/c4658cb41b8ad4498d4a7437c8549c8f67aaae88.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.5281/zenodo.6512208"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> zenodo.org </button> </a>

Spotting Suspicious Link Behavior with fBox: An Adversarial Perspective [article]

Neil Shah, Alex Beutel, Brian Gallagher, Christos Faloutsos
<span title="2014-10-15">2014</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
How can we detect suspicious users in large online networks? Online popularity of a user or product (via follows, page-likes, etc.) can be monetized on the premise of higher ad click-through rates or increased sales. Web services and social networks which incentivize popularity thus suffer from a major problem of fake connections from link fraudsters looking to make a quick buck. Typical methods of catching this suspicious behavior use spectral techniques to spot large groups of often blatantly
more &raquo; ... fraudulent (but sometimes honest) users. However, small-scale, stealthy attacks may go unnoticed due to the nature of low-rank eigenanalysis used in practice. In this work, we take an adversarial approach to find and prove claims about the weaknesses of modern, state-of-the-art spectral methods and propose fBox, an algorithm designed to catch small-scale, stealth attacks that slip below the radar. Our algorithm has the following desirable properties: (a) it has theoretical underpinnings, (b) it is shown to be highly effective on real data and (c) it is scalable (linear on the input size). We evaluate fBox on a large, public 41.7 million node, 1.5 billion edge who-follows-whom social graph from Twitter in 2010 and with high precision identify many suspicious accounts which have persisted without suspension even to this day.
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1410.3915v1">arXiv:1410.3915v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/iz2lld5hrragvdmurbo2udrxqa">fatcat:iz2lld5hrragvdmurbo2udrxqa</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20191016161109/https://arxiv.org/pdf/1410.3915v1.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/04/b9/04b9c8f71cca2f729ba77921325e4f4c981e71bc.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1410.3915v1" 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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