Paper Invitation: Special Issue “Electrochemical Sensors and Biosensors for Rapid Trace Analysis of Pollutants and Contaminants” (ISSN 1424-8220, IF 3.031)

July 2nd, 2020 Daniela Lopez de Luise
Dear Colleague,

We are pleased to invite you to contribute a paper to our Special Issue
“Electrochemical Sensors and Biosensors for Rapid Trace Analysis of
Pollutants and Contaminants” in /Sensors/. Both comprehensive review
(preferred) and original article are welcome.

Special Issue Website:
https://www.mdpi.com/journal/sensors/special_issues/es_sensors

*Deadline* for manuscript submission: *31 December 2020*

Guest Editors: Prof. Dr. Matjaž Finšgar and Dr. Tinkara Mastnak

The particular topics of interest include, but are not limited to:

• Electrochemical sensors and biosensors
• Mercury-free electrode materials
• Trace analysis of pollutants and contaminants
• Heavy metals
• Pharmaceutical compounds
• Pesticides
• Electroanalytical techniques
• Chemically modified nanomaterial-based electrodes
• Nanomaterial-based electrodes
• Electrode characterization
• Electrochemical impedance spectroscopy
• Surface analysis
• Real sample preparation methodology

If you are interested in contributing, please reply to this email.
/Sensors/ manages a rigorous and efficient peer review process for all
submissions, i.e., a first decision provided to authors approximately
17.9 days after submission. There are around 40,000 verified reviews in
Sensors on Publons.

/Sensors/ (ISSN 1424-8220; https://www.mdpi.com/journal/sensors) is a
leading international peer-reviewed open access journal on the science
and technology of sensors. Sensors’ Impact Factor 2018 is 3.031 (5-Year
Impact Factor: 3.302). It ranks Q1 in JCR category of ‘Instruments &
Instrumentation’. The CiteScore (2018 Scopus data) of /Sensors/ is 3.72.
It ranks 9/123 in 'Physics and Astronomy: Instrumentation' and 102/661
in 'Electrical and Electronic Engineering'.

For further details on the submission process, please see the
instructions for authors at the journal website:

http://www.mdpi.com/journal/sensors/instructions

In case of questions, please contact the Editorial Office at:
jordan.wang@mdpi.com.

Kind regards,
Jordan Wang
Assistant Editor

20th Anniversary of Sensors: A series of special content and events at
https://www.mdpi.com/journal/sensors/anniversary

7th International Electronic Conference on Sensors and Applications (ECSA-7)
Abstract Submission Deadline: 10 September 2020
No fees for participation
https://ecsa-7.sciforum.net/

Disclaimer: The information and files contained in this message are
confidential and intended solely for the use of the individual or entity
to whom they are addressed. If you have received this message in error,
please notify me and delete this message from your system. You may not
copy this message in its entirety or in part, or disclose its contents
to anyone.

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ACCV submission deadline is approaching

July 2nd, 2020 Daniela Lopez de Luise

CALL FOR PAPERS
Asian Conference on Computer Vision (ACCV 2020),
Virtual from Kyoto, Nov. 30 – Dec. 4, 2020
URL: http://accv2020.kyoto/
Email: accv2020-pcs@googlegroups.comImportant Dates:
================
Paper submission deadline: Jul. 8, 2020 (11:59pm UTC)
Supplementary material deadline: Jul. 13, 2020 (11:59pm UTC)
Notification of acceptance: Sep. 18, 2020
Camera-ready paper deadline: Oct. 9, 2020 (11:59pm UTC)
Main conference: Nov. 30 – Dec. 2, 2020
Workshops:Dec. 3 – 4, 2020ACCV is a leading biennial international
conference mainly sponsored by Asian Federation of Computer Vision. This
highly successful series provides a premier forum for researchers,
developers, and practitioners to present and discuss new problems,
solutions, and technologies in computer vision and related areas.Due to the
COVID-19 pandemic, ACCV2020 will be held as a completely online conference
on the planned dates, Nov 30th to Dec 4th, 2020. The organizing committee
is committed to taking this opportunity to make ACCV2020 a widely visible
open conference. Your contributions and participation will be key to its
success!ACCV 2020 solicits high-quality original research in all aspects of
computer vision for publication in its main conference and co-located
Workshops. The conference proceedings will be published by Springer in the
Lecture Notes in Computer Science (LNCS) series.Topics include (but are not
limited to):* 3D Computer Vision
* Applications of Computer Vision, Vision for X
* Attention
* Big Data, Large Scale Methods
* Biomedical Image Analysis
* Biometrics
* Computational Photography, Sensing, and Display
* Datasets and Performance Analysis
* Deep learning for computer vision
* Document image analysis
* Face, Pose, Action, and Gesture
* Illumination and Reflectance Modeling
* Low-level Vision, Image Processing
* Motion and Tracking
* Optimization Methods
* Physics-based Vision and Shape from X
* Recognition: Feature Detection, Indexing, Matching, and Shape
Representation
* RGBD and Depth Image Processing
* Robot Vision
* Segmentation and Grouping
* Statistical Methods and Learning
* Video Analysis and Event RecognitionGeneral Chairs:
Ko Nishino (Kyoto Univ.), Akihiro Sugimoto (NII), Hiromi Tanaka
(Ritsumeikan Univ.)Program Chairs:
Hiroshi Ishikawa (Waseda Univ.), Cheng-Lin Liu (NLPR),
Tomas Pajdla (CTU), Jianbo Shi (U. Pennsylvania)Local Chairs:
Shohei Nobuhara (Kyoto Univ.), Yasushi Makihara (Osaka Univ.)

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Machine Learning Remote Seminar

July 2nd, 2020 Daniela Lopez de Luise

Hello all,

Learn Machine Learning remotely via Zoom with Kevin Grimm on August 11-14. Registrants can join the course live or participate asynchronously by viewing video recordings of the sessions.

With this 4-day remote seminar, you will gain both the background and hands-on practice to master machine learning methods. Topics include cross-validation, multiple regression, basic variable selection methods, an overview of the R statistical framework, multivariate adaptive regression splines, lasso regression, classification and regression trees, bagging, and random forests. 

Click here for more information or to register. Please email ashley@statisticalhorizons.com with any questions.
Please pass this info along to colleagues, grad students, or anyone else who might be interested.

Thanks,
Ashley


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Paper Invitation: Special Issue “Novel Trends in Gas Sensing” (ISSN 1424-8220, IF 3.031)

July 2nd, 2020 Daniela Lopez de Luise
Dear Colleague,

We are pleased to invite you to contribute a paper to our Special Issue
“Novel Trends in Gas Sensing” in /Sensors/. Both comprehensive review
(preferred) and original article are welcome.

Special Issue Website:
https://www.mdpi.com/journal/sensors/special_issues/gs_sensors

*Deadline* for manuscript submission: *30 November 2020*

Guest Editors: Prof. Dr. Monika Kwoka

The particular topics of interest include, but are not limited to:

• Gas sensing approaches and methods, including modeling
• Conductometric gas sensors
• Catalytic and electrochemical gas sensors
• Optical and optoelectronic gas sensors
• Piezoelectric and surface acoustic waves gas sensors
• Gas sensor data analysis and signal processing techniques
• Emerging potential applications including electronic noses

If you are interested in contributing, please reply to this email.
/Sensors/ manages a rigorous and efficient peer review process for all
submissions, i.e., a first decision provided to authors approximately
17.9 days after submission. There are around 40,000 verified reviews in
Sensors on Publons.

/Sensors/ (ISSN 1424-8220; https://www.mdpi.com/journal/sensors) is a
leading international peer-reviewed open access journal on the science
and technology of sensors. Sensors' Impact Factor 2018 is 3.031 (5-Year
Impact Factor: 3.302). It ranks Q1 in JCR category of 'Instruments &
Instrumentation'. The CiteScore (2018 Scopus data) of /Sensors/ is 3.72.
It ranks 9/123 in 'Physics and Astronomy: Instrumentation' and 102/661
in 'Electrical and Electronic Engineering'.

For further details on the submission process, please see the
instructions for authors at the journal website:

http://www.mdpi.com/journal/sensors/instructions

In case of questions, please contact the Editorial Office at:
jordan.wang@mdpi.com.

Kind regards,
Jordan Wang
Assistant Editor

20th Anniversary of Sensors: A series of special content and events at
https://www.mdpi.com/journal/sensors/anniversary

7th International Electronic Conference on Sensors and Applications (ECSA-7)
Abstract Submission Deadline: 10 September 2020
No fees for participation
https://ecsa-7.sciforum.net/

Disclaimer: The information and files contained in this message are
confidential and intended solely for the use of the individual or entity
to whom they are addressed. If you have received this message in error,
please notify me and delete this message from your system. You may not
copy this message in its entirety or in part, or disclose its contents
to anyone.

Read More »

FATE/MM (ACM MM 2020 Workshop on Fairness, Accountability, Transparency and Ethics in MultiMedia)

July 2nd, 2020 Daniela Lopez de Luise

;text-indent:0px;text-transform:none;white-space:normal;word-spacing:0px;background-color:#fdfdfd;text-decoration-style:initial;text-decoration-color:initial”>FATE/MM Workshop, co-located with ACM Multimedia 2020 (https://project.inria.fr/fatmm)

Important Dates

  • Paper submission, July 30th
  • Author Notification, August, 26th
  • Camera-Ready, September 2nd
  • Workshop, October

All deadlines are at midnight (23:59) Anywhere on Earth.

Call for Contributions

The workshop aims to foster research around a timely and crucial topic for the present digitized society: the fairness, accountability, transparency and ethics of multimedia algorithms. The workshop has a strong scientific link with the FAT/ML workshop, satellite of ICML, and the ACM FAT* conference. Differently from FAT/ML, which is anchored in machine learning, the FATE/MM workshop addresses fairness, accountability, transparency and ethics in multimedia processing, retrieval, categorization and applications. More precisely, we expect submissions covering any topic closely related to the multimedia community AND falling in one (or many) of the following categories:

Models

  • Techniques and models for fairness-aware multimedia modeling, multimedia information retrieval, and recommendation.
  • Interpretable and explainable models in multimedia.
  • Models and frameworks for conducting FATE audits of multimedia systems.
  • Models for addressing inclusion and exclusion in multimedia.

Algorithm evaluation

  • Qualitative, quantitative, and experimental studies on subjective perceptions of algorithmic bias, unfairness and ethical issues.
  • Experimental results of FATE audits of multimedia systems.
  • Objective metrics for measuring unfairness and bias in multimedia.
  • Generation of human-readable explanations for multimedia models and algorithmic outputs.
  • Metrics for measuring inclusiveness in multimedia systems.

Data collection and curation

  • Defining, measuring and mitigating problematic biases in multimedia datasets.
  • Ethical issues in multimedia data collection processes.
  • Improvement of data collection processes to be more fair, diverse, and inclusive.
  • Data collection regarding potential unfairness in systems and ethical consequences.

Applications

  • Research on fair and transparent multimedia tools and applications
  • Ethical design and/or usage of multimedia tools and applications

Xavier Alameda-Pineda, PhD [xavirema.eu]
 
Research Scientist at PERCEPTION Team
Coordinator of the H2020 ICT SPRING
Phone: +33 (0)4 76 61 52 08 // Office H219
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