Re: [one week to the submission deadline] AIdSH: International Workshop on AI-driven Smart Healthcare co-located with GLOBECOM 2020

It would be interesting to explore if stratml can help to avoid madness,
that would be a good case study

On Fri, Jul 10, 2020 at 7:23 AM Paola Di Maio <paoladimaio10@gmail.com>
wrote:

> 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
>>>>>>
>>>>>