- From: Paola Di Maio <paoladimaio10@gmail.com>
- Date: Fri, 10 Jul 2020 07:23:52 +0800
- To: carl mattocks <carlmattocks@gmail.com>
- Cc: W3C AIKR CG <public-aikr@w3.org>
- Message-ID: <CAMXe=SpTWQ441NQEMNS7TQrTk_FdkbRzsMayNxhAehv2cw1Xsw@mail.gmail.com>
Actually, I am working on brain to model KR and building experiment on cognitive dissonance and KR etc Hoever, I think that stratml (or any structured K schema) could be part of the solution to address both bias provide support in the case cognitive disorders, for example it could help disambiguation, mnemonics but maybe a bit more down the line. It may be key to start writing up drafts so when the conference opportunity arrives you already made a start On Thu, Jul 9, 2020 at 9:22 PM carl mattocks <carlmattocks@gmail.com> wrote: > Paola > > Understood you have priorities. Good luck with meeting those deadlines > > Give a key aspect is planning a change to BIAS - and you have stated there > is more to be done on that - we will continue to lookout for US conference > opportunities > > carl > It was a pleasure to clarify > > > On Wed, Jul 8, 2020 at 6:12 PM Paola Di Maio <paoladimaio10@gmail.com> > wrote: > >> Carl >> Thanks for sharing >> >> I have multiple deadlines and writing papers on topics I am engaged with >> in my work which I need to publish with priority and I am the main author- >> straml is not really my topic, although I appreciate its benefits >> >> If you have a draft ready for submission by the deadline, I may be able >> to contribute/editing it >> However, I am thinking that there are/should be many such conferences in >> the US, why dont you go ahead and prepare a paper >> have it for submission when the next conference comes up >> >> P >> >> >> >> >> On Wed, Jul 8, 2020 at 10:11 PM carl mattocks <carlmattocks@gmail.com> >> wrote: >> >>> Paola >>> >>> Outline of StratML work packaged for 'Explainable AI models for >>> health, biology and medicine' would focus on AI Strategist planned >>> change for an Artificial Intelligence/Machine Learning (AI/ML)-Based >>> Software as a Medical Device (SaMD) - >>> >>> AI Strategist Plan would include change to (1) Performance . (2) >>> Inputs used by the algorithm . (3) intended use . >>> >>> 1. A key Goal > Objective would address BIAS. >>> 2. Another Goal > Objective would focus on Algorithm Change >>> Protocol >>> 3. Additional Goal > Objective would evaluate the modifications >>> based on risk to patients >>> >>> >>> >>> (2). (3) are discussed >>> https://www.fda.gov/files/medical%20devices/published/US-FDA-Artificial-Intelligence-and-Machine-Learning-Discussion-Paper.pdf >>> >>> >>> The predetermined change control plan would include the types of >>> anticipated modifications – SaMD Pre-Specifications – based on the >>> retraining and model update strategy, and the associated methodology – >>> Algorithm Change Protocol – being used to implement those changes in a >>> controlled manner that manages risks to patients. ... >>> as is : The types of modifications generally fall into three broad >>> categories: • Performance – clinical and analytical performance14; • Inputs >>> used by the algorithm and their clinical association to the SaMD output; >>> and/or • Intended use15 – The intended use of the SaMD, as outlined above >>> and in the IMDRF risk categorization framework, described through the >>> significance of information provided by the SaMD for the state of the >>> healthcare situation or condition. >>> >>> Carl >>> It was a pleasure to clarify >>> >>> >>> On Tue, Jul 7, 2020 at 7:36 PM Paola Di Maio <paola.dimaio@gmail.com> >>> wrote: >>> >>>> Just yesterday I was looking for forthcoming conferences in Taipei - >>>> but this one either did not come up, or >>>> I didnt see it -overload? >>>> Yes, I ll be happy to work on a submission as you suggest, at the same >>>> time I have one or two topics >>>> of my own I am working on, assume they accept multiple submissions? >>>> Please start drafting the outline of a paper you have in mind and share >>>> the draft, if you want we can have a quick call >>>> to scope this before we get down to hack it. Thank you >>>> PDM >>>> >>>> On Tue, Jul 7, 2020 at 10:50 PM carl mattocks <carlmattocks@gmail.com> >>>> wrote: >>>> >>>>> paola >>>>> >>>>> have you considered participating in the AIdSH: International Workshop >>>>> on AI-driven Smart Healthcare . held in Taipei, Taiwan 7-11 December 2020? >>>>> >>>>> Do you think our StratML work may be packaged as 'Explainable AI >>>>> models for health, biology and medicine' ? >>>>> >>>>> >>>>> Carl >>>>> It was a pleasure to clarify >>>>> >>>>> >>>>> ---------- Forwarded message --------- >>>>> From: <angalletta@ieee.org> >>>>> Date: Tue, Jul 7, 2020 at 3:31 AM >>>>> Subject: [one week to the submission deadline] AIdSH: International >>>>> Workshop on AI-driven Smart Healthcare co-located with GLOBECOM 2020 >>>>> To: <semantic-web@w3.org> >>>>> >>>>> >>>>> Dear users of Semantic-Web mailing list, >>>>> FYI >>>>> [Apologies if you receive multiple copies of this CFP] >>>>> >>>>> >>>>> =========================================================================== >>>>> AIdSH: International Workshop on AI-driven Smart Healthcare >>>>> The conference will be held in Taipei, Taiwan >>>>> 7-11 December 2020 >>>>> >>>>> https://globecom2020.ieee-globecom.org/workshop/ws-11-workshop-ai-driven-smart-healthcare-aidsh >>>>> in conjunction with the 2020 IEEE Global Communications Conference >>>>> (GLOBECOM) >>>>> >>>>> =========================================================================== >>>>> >>>>> MISSION: >>>>> >>>>> ------------------------------------------------------------------------------ >>>>> Health is one of the major research topics that have been attracting >>>>> cross-disciplinary research groups. The deployment of new emerging >>>>> technologies for Health, with the gradual integration of Internet of Things >>>>> (IoT) and Artificial Intelligence techniques, is attracting the interest of >>>>> many researchers. Within this framework, healthcare is becoming a >>>>> ubiquitous, complex, sophisticated, efficient and autonomous ecosystem. >>>>> The workshop on AI-driven Smart Healthcare (AIdSH) aims at bringing >>>>> together researchers from academia, industry, government and medical >>>>> centers in order to present the state of the art and discuss the latest >>>>> advances in the emerging area of the use of Internet of Things (IoT), >>>>> Artificial Intelligence, and Soft Computing techniques, be they black boxes >>>>> or explanation-based, to signals, images, and data in the fields of >>>>> medicine, healthcare and wellbeing. >>>>> An important aspect related to the healthcare systems is the >>>>> implementation of apt security measures. About that, one of the latest >>>>> trends involves artificial intelligence (AI)-driven technologies that allow >>>>> seamless management of heterogeneous data while designing highly decisive >>>>> attack patterns to accurately foresee hacker’s behavior. Additionally, >>>>> game-theoretic approaches have also surfaced as eminent candidates for >>>>> cyber defense to optimally address the complex decision-making problems >>>>> AIdSH is expected to cover the whole range of theoretical and >>>>> practical aspects, technologies and systems related to the application of >>>>> artificial intelligence and soft computing methodologies to issues as >>>>> machine learning, deep learning, knowledge discovery, decision support, >>>>> regression, forecasting, optimization and feature selection in the >>>>> healthcare and wellbeing domain, as well as the application of AI-based >>>>> cyber security for smart healthcare ecosystem. >>>>> In light of the current pandemic, severely affecting the whole world, >>>>> papers focusing on the application of the above ideas to any issue related >>>>> to COVID-19 are highly welcome. >>>>> >>>>> >>>>> TOPICS: >>>>> ------------------------------------------------------------------------------ >>>>> >>>>> The topics of interest include, but are not limited to, the >>>>> application of Internet of Things (IoT), Artificial Intelligence and Soft >>>>> Computing methodologies to the areas listed below >>>>> Knowledge Management of Health Data; >>>>> Data Mining and Knowledge Discovery in Healthcare; >>>>> Machine and Deep learning approaches for Health Data; >>>>> Explainable AI models for health, biology and medicine; >>>>> Decision Support Systems for Healthcare and Wellbeing; >>>>> AI for Precision Medicine; >>>>> Optimization for Healthcare problems; >>>>> Regression and Forecasting for medical and/or biomedical signals; >>>>> Healthcare Information Systems; >>>>> Wellness Information Systems; >>>>> Medical Signal and Image Processing and Techniques; >>>>> Medical Expert Systems; >>>>> Diagnosis and Therapy Support Systems; >>>>> Biomedical Applications; >>>>> Applications of AI in Healthcare and Wellbeing Systems; >>>>> Machine Learning-based Medical Systems; >>>>> Medical Data and Knowledge Bases; >>>>> Neural Networks in Medicine; >>>>> Ambient Intelligence and Pervasive Computing in Medicine and >>>>> Healthcare; >>>>> AI in genomics; >>>>> AI for Healthcare Social Networks; >>>>> New framework, algorithms, and protocol designs for AI-based >>>>> healthcare Cyber Physical Systems (CPSs); >>>>> Case-studies, applications, and prototypes for healthcare cyber >>>>> security; >>>>> Simulation, testing and formal verification of AI-based security >>>>> solutions for healthcare; >>>>> Machine learning driven IDS/IPS solutions for healthcare CPSs; >>>>> Networking and Computing Architecture AI-based healthcare CPSs; >>>>> Big data analytic frameworks for AI-powered healthcare CPSs; >>>>> Game theory based secure and trustable solutions for healthcare >>>>> systems; >>>>> Cloud/grid/edge computing for healthcare CPSs; >>>>> Data-driven optimization of AI-based healthcare networks; >>>>> Proactive network monitoring architecture for healthcare CPSs; >>>>> Energy-efficient network operations for healthcare CPSs via AI/ML; >>>>> Self-Learning and adaptive networking protocols for real-world CPSs; >>>>> Exploiting 5G and Beyond for AI-aided healthcare solutions; >>>>> Deep and reinforcement learning based security solutions for attack >>>>> prediction in CPSs; >>>>> AI based security solutions for IMDs, smart sensors, wearables, etc; >>>>> Human-machine interaction for healthcare cyber security; >>>>> Other standards, policies and regulations for integrating IoT >>>>> paradigms in CPSs. >>>>> >>>>> >>>>> PAPER SUBMISSION: >>>>> ------------------------------------------------------------------------------ >>>>> >>>>> Manuscripts should describe original work and should be no more than >>>>> SIX (6) printed pages (10-point font) and must be written in English. >>>>> Initial submissions longer than SIX (6) pages will be rejected without >>>>> review. >>>>> All final submissions of accepted papers must be written in English >>>>> with a maximum paper length of six (6) printed pages (10-point font) >>>>> including figures. No more than one (1) additional printed page (10-point >>>>> font) may be included in final submissions and the extra page (the 7th >>>>> page) will incur an over length page charge of US$100. All final papers >>>>> must be submitted to the IEEE Conference eXpress website. >>>>> >>>>> Authors must use the IEEE conference proceedings format obtainable at: >>>>> https://www.ieee.org/conferences/publishing/templates.html >>>>> >>>>> All papers for the AIdSH Workshop should be submitted via EDAS using >>>>> the following link: https://edas.info/N27527 >>>>> >>>>> At least one author of each accepted paper is required to register for >>>>> the conference and present the paper. Only registered and presented papers >>>>> will be published in the conference proceedings. Accepted and presented >>>>> papers will be published in the IEEE GLOBECOM 2020 Conference Proceedings >>>>> and submitted to IEEE Xplore. >>>>> >>>>> If you have any questions regarding the submission of manuscripts, >>>>> please contact one of the Technical Program Chairs of the Symposia that you >>>>> are submitting a paper. >>>>> >>>>> >>>>> JOURNAL SPECIAL ISSUES: >>>>> ------------------------------------------------------------------------------ >>>>> >>>>> Authors of selected papers will be invited to submit an extended >>>>> version on prestigious international journal special issues that are >>>>> connected to AI-driven Smart Healthcare: >>>>> IEEE Journal on Biomedical and Health Informatics - ISSN 2073-431X, >>>>> Scopus (Elsevier) and Web of Science (Clarivate Analytics), Impact Factor >>>>> 4.217 - Special Issue on “Enabling Technologies for Next Generation >>>>> Telehealthcare”. >>>>> Computers - ISSN 2073-431X, Scopus (Elsevier) and Web of Science >>>>> (Clarivate Analytics) indexed - Special Issue on "Artificial Intelligence >>>>> for Health". Article Processing Charges (APC) waived for authors. >>>>> Human-centric Computing and Information Sciences - ISSN: 2192-1962, >>>>> Springer and Web of Science (Clarivate Analytics) indexed, Impact Factor >>>>> 3.212. >>>>> >>>>> >>>>> IMPORTANT DATES: >>>>> ------------------------------------------------------------------------------ >>>>> >>>>> Submission: 15 July 2020 >>>>> Notification: 1 September 2020 >>>>> Camera Ready: 1 October 2020 >>>>> >>>>> >>>>> VENUE: >>>>> ------------------------------------------------------------------------------ >>>>> >>>>> The conference will be held in Taipei, Taiwan >>>>> More info will be available soon on the 2020 IEEE Global >>>>> Communications Conference (GLOBECOM) >>>>> (https://globecom2020.ieee-globecom.org/) >>>>> >>>>> >>>>> FOR ANY OTHER INFORMATION, PLEASE VISIT >>>>> >>>>> https://globecom2020.ieee-globecom.org/workshop/ws-11-workshop-ai-driven-smart-healthcare-aidsh >>>>> or email us at: >>>>> aidsh-2020@googlegroups.com >>>>> >>>>
Received on Thursday, 9 July 2020 23:24:44 UTC