[visionlist] CfP: The 8th Int. Online & Onsite Conf. on Machine Learning, Optimization & Data Science - LOD 2022, September 18-22, Certosa di Pontignano, Tuscany - Italy - Late Breaking Paper Submission Deadline: June 15

[ICAS Organizing Committee]

>
> Dear Colleague,
>
> Apologies if you receive multiple copies of this announcement.
> Please kindly help forward it to potentially interested authors/attendees,
> thanks!
>
> --
>
> The 8th International Online & Onsite Conference on
> Machine Learning, Optimization, and Data Science – #LOD2022 - September
> 18-22, Certosa di Pontignano, #Tuscany - Italy
>
> LOD 2022, An Interdisciplinary Conference: #MachineLearning,
> #Optimization, #BigData & #ArtificialIntelligence, #DeepLearning without
> Borders
>
> https://lod2022.icas.cc
>
> lod at icas.cc
>
> Late Breaking PAPERS SUBMISSION: June 15 (Anywhere on Earth)
> All papers must be submitted using EasyChair:
> https://easychair.org/conferences/?conf=lod2022
>
>
> LOD 2022 KEYNOTE SPEAKER(S):
> * Pierre Baldi, University of California Irvine, USA
>
> * Jürgen Bajorath, University of Bonn, Germany
>
> * Ross King, University of Cambridge, UK & The Alan Turing Institute, UK
>
> * Rema Padman, Carnegie Mellon University, USA
>
>
> LOD 2022 TUTORIAL SPEAKER:
> * Simone Scardapane, University of Rome "La Sapienza", Italy
>
>
> ACAIN 2022 KEYNOTE SPEAKERS:
>
> * Marvin M. Chun, Yale University, USA
>
> * Ila Fiete, MIT, USA
>
> * Karl Friston, University College London, UK & Wellcome Trust Centre for
> Neuroimaging
>
> * Wulfram Gerstner, EPFL, Switzerland
>
> * Máté Lengyel, Cambridge University, UK
>
> * Max Erik Tegmark, MIT, USA & Future of Life Institute
>
> * Michail Tsodyks, Institute for Advanced Study, USA
>
>
> More Lecturers and Speakers to be announced soon!
>
> https://acain2022.artificial-intelligence-sas.org/course-lecturers/
>
>
> PAPER FORMAT:
> Please prepare your paper using the Springer Nature – Lecture Notes in
> Computer Science (LNCS) template. Papers must be submitted in PDF.
>
>
> TYPES OF SUBMISSIONS:
> When submitting a paper to LOD 2022, authors are required to select one of
> the following four types of papers:
>
> * long paper: original novel and unpublished work (max. 15 pages in
> Springer LNCS format);
>
> * short paper: an extended abstract of novel work (max. 5 pages);
>
> * work for oral presentation only (no page restriction; any format). For
> example, work already published elsewhere, which is relevant, and which may
> solicit fruitful discussion at the conference;
>
> * abstract for poster presentation only (max 2 pages; any format). The
> poster format for the presentation is A0 (118.9 cm high and 84.1 cm wide,
> respectively 46.8 x 33.1 inch). For research work which is relevant, and
> which may solicit fruitful discussion at the conference.
>
> Each paper submitted will be rigorously evaluated. The evaluation will
> ensure the high interest and expertise of reviewers. Following the
> tradition of LOD, we expect high-quality papers in terms of their
> scientific contribution, rigor, correctness, novelty, clarity, quality of
> presentation and reproducibility of experiments.
> Accepted papers must contain significant novel results. Results can be
> either theoretical or empirical. Results will be judged on the degree to
> which they have been objectively established and/or their potential for
> scientific and technological impact.
>
> It is also possible to present the talk virtually (Zoom).
>
>
> LOD 2022 Special Sessions:
> https://lod2022.icas.cc/special-sessions/
> https://easychair.org/my/conference?conf=lod2022
>
> PAST LOD KEYNOTE SPEAKERS:
> https://lod2022.icas.cc/past-keynote-speakers/
>
> Yoshua Bengio, Head of the Montreal Institute for Learning Algorithms
> (MILA) & University of Montreal, Canada
> Bettina Berendt, TU Berlin, Germany & KU Leuven, Belgium, and Weizenbaum
> Institute for the Networked Society, Germany
> Jörg Bornschein, DeepMind, London, UK
> Michael Bronstein, Imperial College London, UK
> Nello Cristianini, University of Bristol, UK
> Peter Flach, University of Bristol, UK, and EiC of the Machine Learning
> Journal
> Marco Gori, University of Siena, Italy
> Arthur Gretton, UCL, UK
> Arthur Guez, Google DeepMind, Montreal, UK
> Yi-Ke Guo, Imperial College London, UK
> George Karypis, University of Minnesota, USA
> Vipin Kumar, University of Minnesota, USA
> Marta Kwiatkowska, University of Oxford, UK
> George Michailidis, University of Florida, USA
> Kaisa Miettinen, University of Jyväskylä, Finland
> Stephen Muggleton, Imperial College London, UK
> Panos Pardalos, University of Florida, USA
> Jan Peters, Technische Universitaet Darmstadt & Max-Planck Institute for
> Intelligent Systems, Germany
> Tomaso Poggio, MIT, USA
> Andrey Raygorodsky, Moscow Institute of Physics and Technology, Russia
> Mauricio G. C. Resende, Amazon.com Research and University of Washington
> Seattle, Washington, USA
> Ruslan Salakhutdinov, Carnegie Mellon University, USA, and AI Research at
> Apple
> Maria Schuld, Xanadu & University of KwaZulu-Natal, South Africa
> Richard E. Turner, Department of Engineering, University of Cambridge, UK
> Ruth Urner, York University, Toronto, Canada
> Isabel Valera, Saarland University, Saarbrücken & Max Planck Institute for
> Intelligent Systems, Tübingen, Germany
>
> TRACKS & SPECIAL SESSIONS:
> https://lod2022.icas.cc/special-sessions/
>
> BEST PAPER AWARD:
> Springer sponsors the LOD 2022 Best Paper Award
> https://lod2022.icas.cc/best-paper-award/
>
> PROGRAM COMMITTEE:
> https://lod2022.icas.cc/program-committee/
>
> SCHEDULE:
>
> https://lod2022.icas.cc/wp-content/uploads/sites/20/2022/02/LOD-2022-Schedule-Ver-1.pdf
>
> VENUE:
> https://lod2022.icas.cc/venue/
>
> The venue of LOD 2022 will be The Certosa di Pontignano — Siena
>
> The Certosa di Pontignano
> Località Pontignano, 5 – 53019, Castelnuovo Berardenga (Siena) – Tuscany –
> Italy
> phone: +39-0577-1521104
> fax: +39-0577-1521098
> info at lacertosadipontignano.com
> https://www.lacertosadipontignano.com/en/index.php
> Contact person: Dr. Lorenzo Pasquinuzzi
>
> You need to book your accommodation at the venue and pay the amount for
> accommodation directly to the Certosa di Pontignano.
>
> ACTIVITIES:
> https://lod2022.icas.cc/activities/
>
>
> POSTER:
>
> https://lod2022.icas.cc/wp-content/uploads/sites/20/2022/02/poster-LOD-2022-1.png
>
> Submit your research work today!
>
> https://easychair.org/conferences/?conf=lod2022
>
> See you in the beautiful Tuscany in September!
>
> Best regards,
>   LOD 2022 Organizing Committee
>
>
> LOD 2022 NEWS:
> https://lod2022.icas.cc/category/news/
>
> Past Editions
> https://lod2022.icas.cc/past-editions/
>
> LOD 2021, The Seventh International Conference on Machine Learning,
> Optimization and Big Data
> Grasmere – Lake District – England, UK. Nature Springer – LNCS volumes
> 13163  and 13164.
> LOD 2020, The Sixth International Conference on Machine Learning,
> Optimization and Big Data
> Certosa di Pontignano – Siena – Tuscany – Italy. Nature Springer – LNCS
> volumes 12565 and 12566.
> LOD 2019, The Fifth International Conference on Machine Learning,
> Optimization and Big Data
> Certosa di Pontignano – Siena – Tuscany – Italy.
> Nature Springer – LNCS volume 11943.
> LOD 2018, The Fourth International Conference on Machine Learning,
> Optimization and Big Data
> Volterra – Tuscany – Italy. Nature Springer – LNCS volume 11331.
> MOD 2017, The Third International Conference on Machine Learning,
> Optimization and Big Data
> Volterra – Tuscany – Italy. Springer – LNCS volume 10710.
> MOD 2016,  The Second International Workshop on Machine learning,
> Optimization and big Data
> Volterra – Tuscany – Italy. Springer – LNCS volume 10122.
> MOD 2015, International Workshop on Machine learning, Optimization and big
> Data
> Taormina – Sicily – Italy. Springer – LNCS volume 9432.
>
> https://www.facebook.com/groups/2236577489686309/
>
> https://twitter.com/TaoSciences
>
> https://www.linkedin.com/groups/12092025/
>
> lod at icas.cc
>
> https://lod2022.icas.cc
>
> * Apologies for multiple copies. Please forward to anybody who might be
> interested *
>
>
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