ANNPR 2020 Prizes Announcement (Deadline 19/06/2020)

June 16th, 2020 Daniela Lopez de Luise

ANNPR 2020 (https://annpr2020.ch/), the 9th IAPR TC3 Workshop on Artificial Neural Networks in Pattern Recognition, will be held from September 2nd-4th, 2020, at Zurich University of Applied Sciences ZHAW in Winterthur, Switzerland.

 

UPDATES

 

The deadline for paper submission has been extended to *June 19, 2020.*

 

*Confirmed* Keynote by Prof. Juergen Schmidhuber (Swiss AI Lab IDSIA)

 

*NEW* Prizes: We are going to award prizes of CHF 500 each for the best presentation (IAPR best presentation award) & the best accepted paper, as decided by a jury formed of PC and LOC members.

 

In addition to the workshop proceedings (published by Springer LNCS), we will invite the *5 selected best accepted papers (as determined by the PC) to submit extended versions to a special issue of the OA MDPI Journal “Computers” (ISSN 2073-431X), free of charge.*

 

We confirm that the conference will happen as planned, either in Winterthur or as an online event. We do not intend to postpone or cancel the conference. We will send out another update about the format of the conference, including information about registration, in the next weeks.

 

Updated schedule:

2020-06-19: Submission Deadline

2020-06-YY: Registration opens (t.b.a.)

2020-07-10: Notification of acceptance to authors

2020-07-17: Deadline for submission of camera-ready manuscripts

2020-07-17: Early Registration closes

2020-09-02: Conference starts as planned (in-person or online-only)

 

The workshop will act as a major forum for international researchers and practitioners working in all areas of neural network- and machine learning-based pattern recognition to present and discuss the latest research, results, and ideas in these areas. ANNPR is the biannual workshop organized by the http://iapr-tc3.diism.unisi.it/ on Neural Networks & Computational Intelligence of the http://www.iapr.org/http://www.iapr.org/

 

Among the previous editions of the workshop were ANNPR 2018 (Siena, Italy), ANNPR 2016 (Ulm, Germany), ANNPR 2014 (Montreal, Canada), ANNPR 2012 (Trento, Italy), ANNPR 2010 (Cairo, Egypt), ANNPR 2008 (Paris, France) and ANNPR 2006 (Ulm, Germany).

 

Program:

 

The workshop will consist of keynote talks, several sessions for presentations of accepted papers, and a poster session. Keynote speakers are Jürgen Schmidhuber (The Swiss AI Lab IDSIA, Lugano, Switzerland), Naftali Tishby (Hebrew University of Jerusalem, Israel), Bernd Feisleben (University of Marburg, Germany) and Pascal Paysan (Varian Medical Systems).

 

In addition, there will be a dedicated industry session featuring a sponsored keynote, applied research presentations and industry exhibits / booths / demos, which will provide networking opportunities. The social program consists of a welcome reception, an excursion and a conference dinner.

 

Topics:

 

ANNPR 2020 invites papers that present original work in the areas of neural networks and machine learning oriented to pattern recognition, focusing on their algorithmic, theoretical, and applied aspects. Topics of interest include, but are not limited to:

 

Methodological Issues:

– Supervised, semi-supervised, unsupervised and reinforcement learning

– Deep learning & deep reinforcement learning

– Feed-forward, recurrent, and convolutional neural networks

– Generative models

– Interpretability & explainability of neural networks

– Robustness & generalization of neural networks

– Meta-learning, Auto-ML

 

Applications to Pattern Recognition:

– Image classification and segmentation

– Object detection

– Document analysis, e.g. handwriting recognition

– Sensor-fusion and multi-modal processing

– Biometrics, including speech and speaker recognition and segmentation

– Data, text, and web mining

– Bioinformatics and medical applications

– Industrial applications, e.g. quality control and predictive maintenance

 

Paper Submission (Deadline: June 19, 2020):

 

Papers are invited to be submitted via EasyChair. There will be a peer review process before acceptance. The page limit is 12 pages. For instructions, see https://annpr2020.ch/cfp/.

 

Accepted papers will be published as a special volume of the Springer Lecture Notes in Artificial Intelligence (LNAI) series. For previous editions, see https://link.springer.com/conference/annpr.

 

Organization:

 

The workshop is organized by the Institute of Applied Information Technology (InIT) at the ZHAW School of Engineering. The program committee is listed at https://annpr2020.ch/organisation/

 

Chairs:

 

Dr. Frank-Peter Schilling (chair), Prof. Dr. Thilo Stadelmann (co-chair)

 

 

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iMIMIC 2020 – Workshop on Interpretability of Machine Intelligence in Medical Image Computing at MICCAI 2020

June 16th, 2020 Daniela Lopez de Luise
CALL FOR PAPERS: iMIMIC @ MICCAI 2020
Workshop on Interpretability of Machine Intelligence in Medical Image Computing at MICCAI 2020
iMIMIC 2020 workshop: October 4 2020, Lima, Peru, (https://imimic-workshop.com)
MICCAI 2020 conference: October 4-8, 2020, Lima, Peru, (https://www.miccai2020.org/)
OVERVIEW
The annual MICCAI conference attracts world leading biomedical scientists, engineers, and clinicians from a wide range of disciplines associated with medical imaging and computer assisted intervention.
Machine learning (ML) systems are achieving remarkable performances at the cost of increased complexity. Hence, they become less interpretable, which may cause distrust. As these systems are pervasively being introduced to critical domains, such as medical image computing and computer assisted intervention (MICCAI), it becomes imperative to develop methodologies to explain their predictions. Such methodologies would help physicians to decide whether they should follow/trust a prediction or not. Additionally, it could facilitate the deployment of such systems, from a legal perspective. Ultimately, interpretability is closely related with AI safety in healthcare.
However, there is very limited work regarding interpretability of ML systems among the MICCAI research. Besides increasing trust and acceptance by physicians, interpretability of ML systems can be helpful during method development. For instance, by inspecting if the model is learning aspects coherent with domain knowledge, or by studying failures. Also, it may help revealing biases in the training data, or identifying the most relevant data (e.g., specific MRI sequences in multi-sequence acquisitions). This is critical since the rise of chronic conditions has led to a continuous growth in usage of medical imaging, while at the same time reimbursements have been declining. Hence, improved productivity through the development of more efficient acquisition protocols is urgently needed.
The Workshop on Interpretability of Machine Intelligence in Medical Image Computing (iMIMIC) at MICCAI 2020 aims at introducing the challenges & opportunities related to the topic of interpretability of ML systems in the context of MICCAI.
SCOPE
Interpretability can be defined as an explanation of the machine learning system. It can be broadly defined as global, or local. The former explains the model and how it learned, while the latter is concerned with explaining individual predictions. Visualization is often useful for assisting the process of model interpretation. The model’s uncertainty may be seen as a proxy for interpreting it, by identifying difficult instances. Still, although we can find some approaches for tackling machine learning interpretability, there is a lack of formal and clear definition and taxonomy, as well as general approaches. Additionally, interpretability results often rely on comparing explanations with domain knowledge. Hence, there is the need for defining objective, quantitative, and systematic evaluation methodologies.
Covered topics include but are not limited to:
– Definition of interpretability in context of medical image analysis.
– Visualization techniques useful for model interpretation in medical image analysis.
– Local explanations for model interpretability in medical image analysis.
– Methods to improve transparency of machine learning models commonly used in medical image analysis.
– Textual explanations of model decisions in medical image analysis.
– Uncertainty quantification in context of model interpretability.
– Quantification and measurement of interpretability.
– Legal and regulatory aspects of model interpretability in medicine.
IMPORTANT DATES
Submission Deadline: June 30 2020.
Notification of Acceptance: July 21 2020.
Camera-ready Deadline: July 31 2020.
Workshop: October 4 2020.
KEYNOTE SPEAKERS
Himabindu Lakkaraju, Harvard University, USA.
Wojciech Samek, Fraunhofer HHI, Germany.
VENUE
The iMIMIC workshop will be held in the morning of 4 of October as a workshop of MICCAI 2020.
We would like to inform you that in light of the ongoing COVID-19 pandemic, the MICCAI 2020 Conference Organizing team and the MICCAI Society Board have decided to hold the MICCAI 2020 annual meeting planned for October 4-8, 2020 in Lima, Peru as a fully virtual conference. More information regarding the venue can be found at the conference website at (https://www.miccai2020.org/en/CONFERENCE-VENUE.html)
ADDITIONAL INFORMATION AND SUBMISSION DETAILS
Submissions must be original and not published elsewhere. Authors should prepare a manuscript of 8 pages, excluding references. The manuscript should be formatted according to the Lecture Notes in Computer Science (LNCS) style. All submissions will be reviewed by 3 reviewers. The reviewing process will be single-blinded. Authors will be asked to disclose possible conflict of interests, such as cooperation in the previous two years. Moreover, care will be taken to avoid reviewers from the same institution as the authors. The selection of the papers will be based on their relevance for medical image analysis, significance of results, technical and experimental merit, and clear presentation.
Authors should submit their articles in a single pdf file in the submission website – ? no later than June 30 2020.
Notification of acceptance will be sent by July 21 2020. and the camera-ready version of the papers revised according to the reviewers comments should be submitted by July 31 2020.
We intend to join the MICCAI Satellite Events joint proceedings, and publish the accepted papers as LNCS. We are also considering making the pre-print of the accepted papers publicly available.
ORGANIZING COMMITTEE
Jaime S. Cardoso, INESC TEC and University of Porto, Portugal.
Pedro H. Abreu, CISUC and University of Coimbra, Portugal.
Ivana Isgum, Amsterdam University Medical Center, The Netherlands
José P. Amorim, CISUC and University of Coimbra, Portugal – Publicity Chair
Wilson Silva, INESC TEC and University of Porto, Portugal – Program Chair
Ricardo Cruz, INESC TEC and University of Porto, Portugal – Sponsor Chair
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AutoImplant: the MICCAI 2020 Cranial Implant Design Challenge

June 16th, 2020 Daniela Lopez de Luise

Looking for a challenge? Join the MICCAI 2020 Cranial Implant Design Challenge. 

https://autoimplant.grand-challenge.org/

Motivation

Cranioplasty is the surgical process where a skull defect, caused by a brain tumor surgery or trauma, is repaired using a cranial implant, which must fit precisely against the borders of the skull defect as replacement to the removed cranial bone. The design of the cranial implant is a challenging task and involves several steps: (1) obtaining the 3D imaging data of the skull with the defect from CT or MRI, (2) converting the 3D imaging data into a 3D mesh model and, (3) creating an implant as 3D mesh model for 3D printing. The last step usually requires expensive commercial software, which clinical institutions often have limited access to.  A video shows an example of interactive cranial implant design using  Geomagic Sculpt.  Researchers have been working with common CAD software as an alternative to the commercial software for the design of cranial implants whereas these approaches still involve intensive human interaction, which is time-consuming and requires expertise in the specific medical domain (see also a video for an example of cranial implant design performed using MeVisLab). Therefore, a fast and automatic design of cranial implants is highly desired, which would also enable  in-operation room (in-OR) manufacturing of the implants for the patient.

How to participate

The AutoImplant challenge, which is a half day MICCAI event,  will be officially presented at  MICCAI 2020 virtual conference on 08 October 2020 AM.  The challenge website is currently based on the grand-challenge platform. Users can request participation on this website to get access to the training and test dataset.  Please note that we will only approve requests from users with a complete profile (i.e., real name, valid email address and valid affiliation).  The presentation of the submitted methods and  results will be organized as part of the MICCAI virtual conference.  

Timeline (tentative)

  • release of the training set:  June 03 2020 (completed!)
  • release of the test set:  Aug. 01 2020
  • submission period:  September 01 2020 –September 10, 2020
  • presentation of  the (selected) methods/results:  on 08 October 2020 AM, MICCAI virtual conference

Publications

Participants can publish their methods independently, also as preprint, with an appropriate reference to the AutoImplant challenge. Depending on the outcome (e.g., number and quality of the submissions), we plan to coordinate a LNCS challenge proceeding, where the participants are invited to document and submit their solutions. The submitted papers will go through a peer-review process to be accepted. Additionally, for each of these submissions, two authors will be invited to contribute to an extended summary paper to be submitted to a top-tier journal.

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ECAI2020 goes Digital and Open

June 16th, 2020 Daniela Lopez de Luise
The 24th European Conference on Artificial Intelligence (ECAI2020, http://ecai2020.eu/) will be a great LIVE/GLOBAL/DIGITAL/OPEN event with a rich scientific and social program from August 29 to September 5.

Registration for non-authors is free, allowing access to all the conference contents with no charge at all. This is subject to registration at the Digital ECAI2020 Platform (https://digital.ecai2020.eu/). Details will be announced soon!

This free registration will provide you with full unlimited access to all the Digital ECAI2020 contents during and after the conference dates, including:

 

Full information at http://ecai2020.eu/

                                

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IoTaaS 2020 & related conferences going virtual! Submit your paper and get more citations & extra exposure by presenting online to a global audience (Springer, Scopus, ISI, more)

June 16th, 2020 Daniela Lopez de Luise

Web version
Forward

November 19-20, 2020 | Xi'an, China Cyberspace
Submission Deadline: June 30, 2020 (extended)

EAI is proud to announce that IoTaaS is going virtual and beyond borders.

Get the same full publication and indexing, enjoy EAI’s fair evaluation and recognition, present your paper to a global audience, and experience virtual meetings live as well as on-demand from the safety and comfort of your home.

Scroll down to see more EAI online conferences with an upcoming submission deadline!

SCOPE

The 6th International Conference on IoT as a Service (IoTaaS) aims to contribute to the discussion on the challenges posed by Internet of Things (IoT). The IoTaaS conference aims to bring together researchers and practitioners interested in IoT from academia and industry. IoTaaS attendees will present novel ideas, exchange points of view, and foster collaborations. The conference will consist of technical symposia, tutorials, posters, demos, and workshops. All submissions to this conference will be subject to rigorous peer review before included in the technical sessions.

We are pleased to invite you to submit your paper to IoTaaS 2020. Submissions should be in English, following the Springer formatting guidelines (see Submission). 

Submit Paper

IoTaaS 2020 will take place online due to safety concerns and travel restrictions caused by COVID-19. Although we will miss having everyone meet and connect in person, we feel strongly that knowledge exchange must continue, if not more so. That is why we have equipped our online conferences with live viewing with chat, virtual Q&A, and a multitude of other measures to provide you with a great experience. All of this while making the registration for co-authors and non-authors completely free to give you the biggest possible audience. You can learn more about EAI’s online conferences here.

Publication

All accepted and presented papers will be submitted for publishing by Springer and made available through SpringerLink Digital Library.

Proceedings will be submitted for inclusion in leading indexing services, including Ei Compendex, ISI Web of Science, Scopus, CrossRef, Google Scholar, DBLP, as well as EAI’s own EU Digital Library (EUDL).

Authors of selected best accepted and presented papers will be invited to submit an extended version to:

All accepted authors are eligible to submit an extended version in a fast track of:

Additional publication opportunities:

      Important dates 

      Submission Deadline: june 30, 2020 (extended)

      Notification Deadline: august 1, 2020

      Camera-ready deadline: september 15, 2020

      Conference dates: november 19-29, 2020

      CALL FOR WORKSHOP PAPERS

      EIC/IOT 2020 – 2nd International Workshop on Edge Intelligence and Computing
      for IoT Communications  and Applications
      This workshop is soliciting original research and practical contributions which advance the computing offloading and edge intelligence regarding the architecture, technologies and applications.

      SCN IOT 2020 – International Workshop on Satellite communication networks
      for Internet of Things
      Rapid development for Internet-of-Things (IoT) applications has been witnessed in recent years, such as smart grid, smart farming, environment and disaster monitoring. It require world-wide connectivity and robust systems to deliver sensor data and control information across network infrastructure.

      SC&SIN 2020 – International Workshop on Satellite Communications
      and Spatial Information Network
      Space communication technology can realize data communication between satellites or satellites-ground. The spatial information network is a network system that acquires, transmits, and processes spatial information in real time based on a space platform.

      Workshop Paper Submission Deadline: June 30, 2020

      Discover more EAI online conferences with an upcoming submission deadline:

      EAI 6GN 2020
      5rd EAI International Conference
      on 6GN for Future Wireless Networks

      EAI IndustrialIoT 2020
      4th EAI International Conference
      on Industrial IoT Technologies
      and Applications

      EAI FoNeS IoT 2020
      EAI International Conference
      on Forthcoming Networks and Sustainability in the IoT Era

      EAI MobiCASE 2020
      11th EAI International Conference
      on Mobile Computing, Applications and Services

      EAI SGIoT 2020
      4th EAI International Conference
      on Smart Grid and Internet of Things

      EAI ICECI 2020
      EAI International Conference
      on Edge Computing and IoT: Systems, Management and Security

      EAI COMMUNITY BENEFITS

      Granting you visibility and fair review through
      Community Review.

      Credits counting towards your EAI Index, membership ranks and global recognition.

      Receive invaluable real-time feedback on your presentation on-site via EAI Compass

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