CIBB 2021 :: Computational Intelligence Methods for Bioinformatics and Biostatistics :: Deadline Extended to 25 September

September 21st, 2021 Daniela Lopez de Luise
CIBB 2021 :: the 17th International Conference on Computational Intelligence Methods for Bioinformatics and Biostatistics
November 15-17 2021 :: Fully Online
http://www.isa.cnr.it/cibb2021/


The main goal of the CIBB international conference is to provide a multi-disciplinary forum open to researchers interested in the application of computational intelligence, in a broad sense, to open problems in bioinformatics, computational biology, biostatistics, systems and synthetic biology and medical informatics. Cutting-edge methodologies capable of accelerating life science discoveries will be the main focus of the conference, together with data mining technologies applied to real-life scenarios in biology and health. Following its tradition and roots, this year's meeting will gather researchers and practitioners from the international scientific community interested in advancements and future perspectives in bioinformatics and biostatistics. Also, looking at current trends and future opportunities at the edge of computer and life sciences, the application of computational intelligence to system and synthetic biology, and the consequent impact on innovative medicine will be of great interest for the participants. Theoretical and experimental biologists are also invited to participate in order to present novel challenges and foster multidisciplinary collaboration.

The scientific program of CIBB 2021 will include keynote speakers, tutorials and special sessions. Contributed papers will be presented in plenary oral sessions, and special sessions. The CIBB 2021 conference will be an online event. This call for papers invites researchers to submit a short paper (4-6 pages) that will go through a peer review and, if accepted, will be presented at the conference. After the conference, the authors of all the accepted short papers will be invited to submit an extended version of their manuscript for the conference proceedings book in Springer Lecture Notes in Bioinformatics (LNBI) or for a journal supplement in BMC Bioinformatics or BMC Medical Informatics and Decision Making.

Topics of interest include:

  • Machine learning methods for bioinformatics and health informatics
  • Next generation sequencing bioalgorithms
  • Multi-omics data analysis
  • High dimensional statistical analysis of omics data
  • Algorithms for alternative splicing analysis
  • Algorithms for molecular evolution and phylogenetic analysis
  • Methods for the visualization of high dimensional complex omic data
  • Software tools for bioinformatics
  • Methods for comparative genomics
  • Computational tools applied to proteomics
  • Methods for functional classification of genes
  • Methods for unsupervised analysis, validation and visualization of
  • structures discovered in bio-molecular data
  • Health-Informatics and Medical Informatics
  • Biomedical and Microscopy Imaging
  • Methods for the integration of clinical and genetic data
  • Heterogeneous data integration and data fusion for diagnostics
  • Algorithms for pharmacogenomics
  • Biomedical text mining
  • Methods for diagnosis and prognosis within personalized medicine
  • Statistical methods for the analysis of clinical data
  • Prediction of secondary and tertiary protein structures
  • Advanced pathway enrichment analysis methods
  • Mass spectrometry data analysis in proteomics
  • Algorithms for molecular evolution and phylogenetic analysis
  • Bio-molecular databases and data mining
  • Mathematical modeling and automated reasoning on biological and synthetic systems
  • Computational simulation of biological systems
  • Methods and advances in systems biology
  • Spatio-temporal analysis of synthetic and biological systems
  • Network systems biology
  • Models for cell populations and tissues
  • Methods for the engineering of synthetic components
  • Modelling and engineering of interacting synthetic and biological systems
  • Software tools for bioinformatics, biostatistics, systems and synthetic biology

Please check the official CIBB 2021 website for additional information: http://www.isa.cnr.it/cibb2021/

Dates
Paper submission: 15 September 2021

Late paper submission: 25 September 2021
Acceptance/rejection notification: 15 October 2021
Camera ready due: 30 October 2021
Conference: 15 – 17 November 2021

Submission of papers
Prospective authors should submit short papers prepared according to the following instructions:

  • The short papers should be submitted in PDF format (this is the only accepted format).
  • The short papers length should be at least 4 pages and should not exceed 6 pages in total.
  • The short papers should be written in British English or North American English. Please perform a grammar spell-check and correct any typos or mistakes before the submission.
  • The short papers should include 10 references at most.
  • We warmly recommend the use of the provided templates available for LaTeX (preferred), LibreOffice Writer, and Microsoft Word. The LaTeX template is also available for free on Overleaf.com.

Short papers should adhere, as much as appropriate, to the following structure and sections:

  • Scientific background
  • Data and methods
  • Results
  • Conclusions
  • References (maximum 10)

The submission website will be available soon on the website.

Publication


The PDF versions of accepted short papers will be distributed at the conference. At least one author of an accepted paper is required to register and present the paper at the conference. The authors of all the accepted short papers (both of the main track and of the special sessions) will be invited to submit an extended version of their work to the post-conference monograph or supplements. We plan to invite all the papers for a volume in the Springer series of Lecture Notes in Bioinformatics (LNBI), or to a supplement of an international scientific journal (such as BMC Bioinformatics and BMC Medical Informatics and Decision Making, as in the latest editions). Please see the past editions webpage to find the books of the proceedings and supplements of the past editions of the conference to get a sense of them.

Keynote speakers


Karsten Borgwardt (ETH Zurich)
Ombretta Melaiu (Ospedale Pediatrico Bambino Gesù)
André M. Carrington (Ottawa Hospital and Region Imaging Associates)
Jacques Balayla (McGill University)

Special sessions

  • Artificial intelligence and statistical methods for neurodegenerative diseases
  • Modeling and simulation methods for computational biology and systems medicine
  • Bio-inspired AI and AI-inspired (bio)chemical intelligence: a viable two-way path?
  • Towards standardizing machine learning in life sciences: the FAIR principles and the DOME recommendations
  • Machine learning in healthcare informatics and medical biology


Please check the official CIBB 2021 website for additional information: http://www.isa.cnr.it/cibb2021/

You can contact the CIBB 2021 organizers at: cibb2021@protonmail.com

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Call for papers | Special Issue: “Geovisualization: Current Trends, Challenges, and Applications” | Geographies (ISSN 2673-7086)

September 21st, 2021 Daniela Lopez de Luise
Dear Colleagues,
I would like to inform you that the Special Issue “Geovisualization: Current Trends, Challenges, and Applications” in MDPI Geographies (ISSN 2673-7086) is now open to receive submission.

Special Issue Guest Editors:

  • Dr. Vassilios Krassanakis (Department of Surveying and Geoinformatics Engineering, School of Engineering, University of West Attica).
  • Dr. Andriani Skopeliti (Cartography Laboratory, School of Rural, Surveying and Geoinformatics Engineering (SRSE), National Technical University of Athens).
  • Dr. Merve Keskin (Department of Geoinformatics and Cartography, Finnish Geospatial Research Institute (FGI), National Land Survey of Finland).
  • Dr. Paweł
    Cybulski (Department of Cartography and Geomatics, Faculty of Geographical and Geological Sciences, Adam Mickiewicz University).

Special Issue Information:
The process of geovisualization involves scientific techniques which are implemented in order to represent spatiotemporal information that describes geographic entities and phenomena. The application of geovisualization methods allows the visual exploration of geospatial data using static, animated, and interactive cartographic products. The majority of spatial analysis and geographic information system applications resulted in specific representations which could substantially support the identification of potential relationships, patterns and trends related to the spatial and temporal distribution of geographic data. Hence, the geovisualization process has become an essential part of different crucial research/scientific and professional domains. Undoubtedly, the immense availability of both open source and proprietary software tools, the considerable number of available sensors and devices, as well as the freely distributed geospatial data have contributed toward this direction. However, the popularity that geovisualization methods have gained implies several challenges and new solutions, especially considering the advent of the Big Data era.

This Special Issue aims to collect innovative and high-quality research articles related to current trends and challenges in the field of geovisualization in 2D and 3D. Additionally, possible contributions could describe specific applications in several related domains. Comprehensive and systematic literature review articles in the field are also welcome.

More specifically, potential topics include (but are not limited to) the followings:

  • New geovisualization design methods;
  • Geovisualization variables and principles;
  • Evaluation and/or comparison of different geovisualization methods;
  • New geovisualization software tools;
  • Theoretical and experimental studies in geovisualization;
  • Geovisualization and Big Data;
  • Geovisualization and VR/AR applications;
  • Geovisualization in local, mobile, and web environments;
  • Printed and digital map collections;
  • Geovisualization applications in different fields (e.g., spatial analysis and planning, environment, climate change, hydrology, geology, history, education, archaeology, epidemiology, biology);

Comprehensive and systematic literature reviews on any of the aforementioned topics.

Deadline for manuscript submissions: 30 September 2022.

For more information about the submission process and the article processing charges, please visit the Special Issue website:
https://www.mdpi.com/journal/geographies/special_issues/Geovisualization_Current_Trends

Please do not hesitate to contact us if you have any questions.

We look forward to your contributions.

Kind regards,
Guest Editors


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Image and Vision Computing special issue on »Deep Learning Techniques Applied to Faces« (extended deadline)

September 21st, 2021 Daniela Lopez de Luise
CALL FOR PAPERS: Image and Vision Computing special issue on »Deep
Learning Techniques Applied to Faces« (extended deadline)

We invite submissions for the IMAVIS special issue on »Deep Learning
Techniques Applied to Faces«. The goal of this special issue is to
gather novel contributions (either from academia or industry) on deep
learning techniques applied to face images that advance the field across
a diverse cross-section of application domains.

Topics of interest include, but are not limited to:

+ Adversarial techniques in facial analysis
+ Generative modeling of facial expressions and face aging
+ Deep learning architectures and algorithms for face-related applications
+ Deep learning based smart medical solutions related to face understanding
+ Machine learning techniques for deep face recognition
+ Deep learning based face data generation and management
+ High performance computing for deep learning based facial analysis
+ Face-related privacy concerns and solutions
+ Face editing, manipulation and detection

The (extended) submission deadline is *** November 30, 2021 ***. For
more information visit:
https://www.journals.elsevier.com/image-and-vision-computing/call-for-papers/deep-learning-techniques-applied-to-faces

*** Guest Editors **
Ioannis A. Kakadiaris, University of Houston
Constantine Kotropoulos, Aristotle University of Thessaloniki
Vitomir Struc, University of Ljubljana
Deepak Kumar Jain, Chongqing University of Posts and Telecommunications

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WACV2022 :: xAI4Biometrics Workshop :: CALL FOR PAPERS :: Submission deadline on October 04

September 21st, 2021 Daniela Lopez de Luise
*******************************************************************************************************************************************************************************
                                                            xAI4Biometrics Workshop @ WACV 2022 :: Call for Papers
*******************************************************************************************************************************************************************************

The WACV 2022 2nd Workshop on Explainable & Interpretable Artificial Intelligence for Biometrics (xAI4Biometrics Workshop 2022) intends to promote
research on Explainable & Interpretable-AI to facilitate the implementation of AI/ML in the biometrics domain, and specifically to help facilitate transparency
and trust.
This workshop will include two keynote talks by:
  • Walter J. Scheirer, Notre Dame University, USA
  • Speaker TBA
The xAI4Biometrics Workshop 2022 is organized by INESC TEC, Porto, Portugal. For more information please visit http://vcmi.inesctec.pt/xai4biometrics
 
IMPORTANT DATES
Abstract submission (mandatory): October 04, 2021
Full Paper Submission Deadline: October 11, 2021
Acceptance Notification: November 15, 2021
Camera-ready & Registration: November 19, 2021
Conference: January 04-08, 2022 | Workshop Date: January 04, 2022
TOPICS OF INTEREST
The xAI4Biometrics welcomes works that focus on biometrics and promote the development of:

  • Methods to interpret the biometric models to validate their decisions as well as to improve the models and to detect possible vulnerabilities;
  • Quantitative methods to objectively assess and compare different explanations of the automatic decisions;
  • Methods and metrics to study/evaluate the quality of explanations obtained by post-model approaches and improve the explanations;
  • Methods to generate model-agnostic  explanations;
  • Transparency and fairness in AI algorithms avoiding bias;
  • Methods that use post-model explanations to improve the models’ training;
  • Methods to achieve/design inherently interpretable algorithms (rule-based, case-based reasoning, regularization methods);
  • Study on causal learning, causal discovery, causal reasoning, causal explanations, and causal inference;
  • Natural Language generation for explanatory models;
  • Methods for adversarial attacks detection, explanation and defense (“How can we interpret adversarial examples?”);
  • Theoretical approaches of explainability (“What makes a good explanation?”);
  • Applications of all the above including proofs-of-concept and demonstrators of how to integrate explainable AI into real-world workflows and industrial processes.


ORGANIZING COMMITTEES


GENERAL CHAIRS
    • Jaime S. Cardoso, INESC TEC and University of Porto, Portugal
    • Ana F. Sequeira, INESC TEC, Porto, Portugal
    • Arun Ross, Michigan State University, USA
    • Peter Eisert, Humboldt University & Fraunhofer HHI
    • Cynthia Rudin, Duke University, USA
PROGRAMME CHAIRS
    • Christoph Busch, NTNU & Hochschule Darmstadt
    • Tiago de Freitas Pereira, IDIAP Research Institute, Switzerland
    • Wilson Silva, INESC TEC and University of Porto, Portugal
CONTACT
Ana Filipa Sequeira, PhD (ana.f.sequeira@inesctec.pt)
Assistant Researcher
INESC TEC, Porto, Portugal
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The 2nd international workshop on Machine Learning for EEG Signal Processing (MLESP)

September 21st, 2021 Daniela Lopez de Luise
CALL FOR PAPERS

The 2nd international workshop on Machine Learning for EEG Signal Processing (MLESP 2021, https://mlesp2021.sciencesconf.org/) will be held online, from 9 to 12 december 2021, in conjunction with the IEEE International Conference on Bioinformatics and Biomedicine (IEEE BIBM 2021, https://ieeebibm.org/BIBM2021/)

Overview

EEG signal processing involves the analysis and treatment of the electrical activity of the brain measured with Electroencephalography, or EEG, in order to provide useful information on which decisions can be made. The recent advances in signal processing and machine learning for EEG data processing have brought an impressive progress to solve several practical and challenging problems in many areas such as healthcare, biomedicine, biomedical engineering, BCI and biometrics. The aim of this workshop is to present and discuss the recent advances in machine learning for EEG signal analysis and processing. We are inviting original research work, as well as significant work-in-progress, covering novel theories, innovative methods, and meaningful applications that can potentially lead to significant advances in EEG data analytics. This workshop is an opportunity to bring together academic and industrial scientists to discuss the recent advances.

The topics of interest include but not limited to:

– EEG signal processing and analysis
– Time-frequency EEG signal analysis
– Signal processing for EEG Data
– EEG feature extraction and selection
– Machine learning for EEG signal processing
– EEG classification and Hierarchical clustering
– EEG abnormalities detection (e.g. Epileptic seizure, Alzheimer's disease, etc.)
– Machine learning in EEG Big Data
– Deep Learning for EEG Big Data
– Neural Rehabilitation Engineering
– Brain-Computer Interface
– Neurofeedback
– EEG-based Biometrics
– Related applications

Important Dates

Oct. 25, 2021 (11:59 pm CST): Due date for full workshop papers submission
Nov. 5, 2021: Notification of paper acceptance to authors
Nov. 15, 2021: Camera-ready of accepted papers
Dec 3-6, 2021: Workshops


Paper Submission

– Please submit a full-length paper (up to 8 page IEEE 2-column format) through the online submission system. You can download the format instruction here:
http://www.ieee.org/conferences_events/conferences/publishing/templates.html
– Electronic submissions in PDF format are required.

Online Submission



All accepted papers will be published in the BIBM proceedings and IEEE Xplore Digital Library.

Journal Special Issue


Selected high-quality papers will be invited for publication in a special issue in highly respected journal.

Contact

Prof. Larbi Boubchir (Workshop Chair), University of Paris 8, France
E-mail: larbi.boubchir@univ-paris8.fr

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