[UAI] MINDS Online Seminar Series on Mathematical Foundations of Data Science

[拓 赵]

Dear All,



Hope all is well with you during this difficult time.



We are excited to announce the launch of the MINDS Online Seminar Series on 
Mathematical Foundations of Data Science. Starting from May 12th, we will 
invite a speaker to give a talk on topics of machine learning, optimization or 
statistics every week. The talks will be live through Zoom Webinar and recorded.



The first speaker will be Prof. Alfred Hero from University of Michigan, and 
the detailed information can be found at



https://sites.google.com/view/seminarmathdatascience/home.



Your attendance will be highly appreciated/welcomed. Please feel free forward 
the information to anyone who might be interested.



Very best wishes,



Organizing Committee: E. Fang, N. He, J. Lu, Z. Wang,  Z. Yang, T. Zhao
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[UAI] AI4Narratives@IJCAI2020 (Deadline Further Extended, 10th May, 2020) - First International Workshop on Artificial Intelligence for Narratives, July 13, 2020 – Yokohama, Japan

[Shamsuddeen Hassan]

** Apologies for cross-posting ***
Please, feel free to redistribute!

COVID-19 Information: There is a high probability that IJCAI 2020 goes virtual, 
partially or totally. In any case, the organizers of this workshop intend to 
assure that it will run as smoothly and as lively as possible. The aim is to 
keep the community working and keep sharing our discoveries and that every 
author, interested researcher or practitioner can attend either locally or 
remotely.

++ CALL FOR PAPERS ++

**
First International Workshop on Artificial Intelligence for Narratives 
(AI4Narratives’20) to be held in conjunction with the 29th International Joint 
Conference on Artificial Intelligence and the 17th Pacific Rim International 
Conference on Artificial Intelligence (IJCAI-PRICAI2020)

Website: ai4narratives20.inesctec.pt

**

++ Important Dates ++
- Submission deadline: 10th May, 2020  **further extended due to several 
requests**
- Acceptance Notification Date: May 30th, 2020
- Camera-ready copies: June 1th, 2020
- Workshop: July 13th, 2020

++ Overview ++
This workshop aims to bring together AI researchers and practitioners working 
on the topic of Narratives, mainly for those working on NLP, but open to other 
relevant inputs in this emerging area. We invite researchers and practitioners 
to submit research papers, demo papers, position papers and nectar papers.

++ List of Topics ++
Contributions on the following topics are welcome, as well as on other not 
listed but highly relevant topics.

- Narrative Extraction from the text, including social media.
- Narrative Understanding.
- Storyfication of non-textual data, including image, video, financial, 
weather, sports and sensor data.
- Narrative formalisation and reasoning on narratives, including representation 
formalisms and narrative calculus.
- Representing Narratives graphically or in other forms of communication, 
including infographics, cartoons, slide shows, video-clips, video-games, etc.
- Generation of textual narratives, including narrative construction, narrative 
creation, planning and problem solving for narratives.
- Narrative Temporal Reasoning.
- Bias in Narrative Generation.
- Applications of narrative extraction and generation, including media, health 
care, science, sports, industry, business and administration, education, 
recommender systems and XAI.
- Evaluation methodologies for Narrative Extraction and Generation.
- Related methods for narrative construction, including abstractive 
summarization, reinforcement learning, transfer learning, and so on.

++ Submission Guidelines ++
We encourage the following kinds of submissions:

- Research papers (max 6 pages + references) with original work, promoting and 
sharing exciting new ideas and fostering discussion or describing well-founded 
impactful applications
- Demo papers (max 3 pages + references) describing relevant tools
- Position papers (max 3 pages + references) describing relevant and supporting 
points of view, including a description of ongoing projects
- Nectar papers (max 3 pages + references) with a summary of work published in 
other conferences or journals that is worthwhile sharing with the community

Papers must be submitted electronically in PDF format through EasyChair 
(easychair.org/conferences/?conf=ai4narratives2020). All submissions must be in 
English and formatted according to the IJCAI format style 
(www.ijcai.org/authors_kit).

Submissions will be peer-reviewed by at least two members of the programme 
committee. The accepted papers will appear in the proceedings published at CEUR 
workshop proceedings (usually indexed on DBLP). We also plan to launch a 
special journal issue on the topic.

++ Workshop Format ++
Accepted works will be assigned oral presentations and/or demo slots and/or 
poster presentations.

++ Invited Speakers ++
 TBA

++ Organizing committee ++
- Alípio M. Jorge (INESC TEC; University of Porto, Portugal)
- Ricardo Campos (INESC TEC; Ci2 - Smart Cities Research Center, Polytechnic 
Institute of Tomar, Tomar, Portugal)
- Adam Jatowt (Kyoto University, Japan)
- Akiko Aizawa (NII Tokyo, Japan)

++ Proceedings Chair ++
− João Paulo Cordeiro (INESC TEC; University of Beira Interior)

++ Media and Dissemination Chair ++
− Arian Pasquali (INESC TEC)
− Brenda Santana (INESC TEC)
- Shamsuddeen Muhammad (INESC TEC)

++ Review Support Chair ++
− Daniel Loureiro (INESC TEC)

++ Program Committee (to be extended) ++
Álvaro Figueira (University of Porto)
Andreas Spitz (École polytechnique fédérale de Lausanne)
António Branco (Universidade de Lisboa)
Arian Pasquali (INESC TEC)
Bruno Martins (IST and INESC-ID - Instituto Superior Técnico, University of 
Lisbon)
Daniel Loureiro (University of Porto)
Dennis Aumiller (Heidelberg University)
Dhruv Gupta (Max Planck Institute for Informatics

[UAI] CFP: Workshop/Tutorial on Uncertainty in Machine Learning @ ECML/PKDD 2020

[Eyke Hüllermeier]

--
C A L L  F O R  P A P E R S

Uncertainty in Machine Learning

Workshop (combined with a tutorial) at ECML/PKDD 2020
September 14–18, 2020, Ghent, Belgium

https://sites.google.com/view/wuml-2020/home

--
Motivation and Focus
--
The notion of uncertainty is of major importance in machine learning and 
constitutes a key element of modern machine learning methodology. In 
recent years, it has gained in importance due to the increasing 
relevance of machine learning for practical applications, many of which 
are coming with safety requirements. In this regard, new problems and 
challenges have been identified by machine learning scholars, which call 
for new methodological developments. Indeed, while uncertainty has long 
been perceived as almost synonymous with standard probability and 
probabilistic predictions, recent research has gone beyond traditional 
approaches and also leverages more general formalisms and uncertainty 
calculi. For example, a distinction between different sources and types 
of uncertainty, such as aleatoric and epistemic uncertainty, turns out 
to be useful in many machine learning applications. The workshop will 
pay specific attention to recent developments of this kind.


This workshop will be preceded by a tutorial, which provides an 
introduction to the topic of uncertainty in machine learning and gives 
an overview of existing methods and hitherto approaches to dealing with 
uncertainty.


--
Aim and Scope
--
The goal of this workshop is to bring together researchers interested in 
the topic of uncertainty in machine learning. It is meant to provide a 
forum for the discussion of the most recent developments in the 
modeling, processing, and quantification of uncertainty in machine 
learning problems, and the exploration of new research directions in 
this field. We welcome papers on all facets of uncertainty in machine 
learning. We solicit original work, which can be theoretical, practical, 
or applied, and also encourage the submission of work in progress as 
well as position papers or critical notes. The scope of the workshop 
covers, but is not limited to, the following topics:


-- adversarial examples
-- belief functions
-- calibration
-- classification with reject option
-- conformal prediction
-- credal classifiers
-- deep learning and neural networks
-- ensemble methods
-- epistemic uncertainty
-- imprecise probability
-- likelihood and fiducial inference
-- model selection and misspecification
-- multi-armed bandits
-- online learning
-- noisy data and outliers
-- out-of-sample prediction
-- performance evaluation
-- hypothesis testing
-- probabilistic methods
-- Bayesian machine learning
-- reliable prediction
-- set-valued prediction
-- uncertainty quantification

--
Submission and Review Process
--
Authors are supposed to submit original work in the form of regular and 
short papers written in English. The length of the papers is limited to 
6 pages for short contributions (reporting work in progress) and 12 
pages for regular contributions (reporting on more mature work) in LNCS 
format. All papers must be submitted in PDF format online via the 
EasyChair submission interface:


https://easychair.org/my/conference?conf=wuml2020#

Each submission will be evaluated by at least two members of the 
programme committee on the basis of its relevance to the workshop, the 
significance and technical quality of the contribution, and the quality 
of presentation. All accepted papers will be included in the workshop 
proceedings and will be publicly available on the conference web site. 
Currently, possibilities for a follow-up publication are also explored, 
for example a special issue in a journal. At least one author of each 
accepted paper is required to attend the workshop to present.


--
Invited Speakers:
--
Meelis Kull, Institute of Computer Science, University of Tartu
N.N.

--
Important Dates:
--
11 June 2020 --- paper submission
20 July 2020 --- notification of acceptance or rejection
27 July 2020 --- camera-ready version
14th (or 18th) September --- workshop date

--
Organization:
--
Eyke Hüllermeier, Paderborn University, e...@upb.de
Sébastien Destercke, Heudiasyc, Compiegne, sebastien.dester...@hds.utc.fr

-

[UAI] [CFP] 2020 ACM MOBICOM WKSHPS: Drone-Assisted Wireless Communications for 5G and Beyond (DroneCom)

[Sahil Garg]

[Apologies if you got multiple copies of this invitation]


Call for Papers

The Second International Workshop on
Drone-Assisted Wireless Communications for 5G and Beyond (DroneCom)

(in Conjunction with ACM MOBICOM 2020)
September 25, 2020, London, United Kingdom



Mobile communication technology is leading towards the deployment of Fifth
generation (5G) networks, wherein Internet of Things (IoT) is likely to
play a central role. It is expected that 5G deployments will be
characterized by increased network density, enhanced capacity, near
ubiquitous connectivity, and ultra-reliable and low latency communications,
in order to deliver flawless quality of service (QoS) that is essential for
IoT to be successful. To deal with these trends and support the growing
appetite of data services, mobile backhaul becomes an indispensable
solution towards realising a 5G network. Moreover, the emergence of dense
heterogeneous networks (HetNets), which are constantly promoted as a prime
candidate for 5G evolution, has further provisioned the need of mobile
backhaul solutions while making it a critical component of RAN. However,
wireless backhauling relies on Small Cell Base Stations (SBSs); wherein the
installation of extra terrestrial infrastructures for SBSs may not be an
acceptable solution due to the high cost of deployment. Thus, a huge
paradigm shift in backhaul network design is highly desirable for 5G
networks in order to dynamically manage the increasing traffic demands of
SBSs and cater new applications with ease. In this direction, the
integration of both terrestrial and aerial network components can be
considered a promising solution. Therefore, drone-mounted infrastructure
are envisioned to supplement the terrestrial infrastructure while improving
flexibility and reliability of backhaul operations. However, in order to
reap the full potential of drones in 5G backhaul, it must cope with the
inherent challenges like lack of fixed backhual links, multi-drone
coordination, collision and crash avoidance, sparsely and intermittently
connected network topologies, and moreover limited communication,
computation, and endurance capabilities. Therefore, the proposed workshop
aims to bring together researchers and practitioners to share their ideas,
latest findings, and state-of-the-art results on fostering the promising
benefits of drones in 5G wireless networks. Potential topics include, but
not limited to the following:

- New architecture/communication protocols for drone-based 5G communications
- Channel modelling for drone-ground and drone-drone communications
- Simple, scalable and cost effective solutions for drone communications
- Massive MIMO based backhaul solutions
- Resource management and security mechanisms for drone enabled networking
- SDN and NFV based backhaul architectures
- Data offloading schemes for heterogeneous small cell networks
- Resource scheduling in backhaul networks
- Cutting-edge solutions for drone assisted heterogeneous networks
- Standardization efforts and testbeds for drone communication systems
- Game theoretical approaches for drone based 5G communications
- New trends in backhauling
- AI and ML based architectures for dynamic routing in drone communications
- Authentication and Accounting for drone aided 5G communications
- Energy-aware drone deployment and operation mechanisms
- Interference management techniques for aerial platforms
- Use cases, testing and field trials for drone assisted 5G communications
- Other applications/implementations for integrating drones into 5G and
beyond

Important Dates

Submission Deadline: May 15, 2020
Paper Notification: July 15, 2020
Camera-ready: July 31, 2020

General Co-Chairs:

- Sahil Garg, École de technologie supérieure, Montreal, Canada (Email:
sahil.g...@ieee.org)
- Fabrizio Granelli, University of Trento, Italy (Email:
fabrizio.grane...@unitn.it)
- Harpreet Dhillon, Virginia Tech, Blacksburg, VA, USA (Email:
hdhil...@vt.edu)
- Xingqin Lin, Ericsson Research Silicon Valley, USA (Email:
xingqin@ericsson.com)
- Song Guo, The Hong Kong Polytechnic University, Hong Kong (Email:
song@polyu.edu.hk)

Technical Program Co-Chairs:

- Kuljeet Kaur, École de technologie supérieure, Montreal, Canada (Email:
kuljeet.k...@ieee.org)
- Georges Kaddoum, École de technologie supérieure, Montreal, Canada
(Email: georges.kadd...@etsmtl.ca)

Publicity Co-Chairs:

- Dushantha Nalin K. Jayakody (National Research Tomsk Polytechnic
University, Russia)
- Zhihan Lv (Qingdao University, China)
- Ali Kashif Bashir (Manchester Metropolitan University, UK)

SUBMISSION INSTRUCTIONS

Submissions to ACM DroneCom 2020 must be original, unpublished work,

[UAI] DSAA2020 - SS on Data Science for Cyber Physical Systems

[Apurva Narayan]

*DSAA2020 Special Session*

*Data Science for Cyber Physical Systems*
*Aims and scope:*
Special Session on Data Science for Cyber Physical Systems (DSCPS) aims to
bridge research in the data mining and engineering community (both industry
and research) by providing an open and interactive forum for researchers
who are interested in data mining and CPS. To discuss the methodologies and
technical foundations of data mining, machine learning, artificial
intelligence, and other knowledge discovery approaches for mining and
analyzing various types of CPS data. The overall objective is to facilitate
specialized tasks in safety, security, and resilience of CPS. Participants
of diverse background in either data mining, electrical and computer
engineering, and software engineering can benefit from this Special Session.

Special Session on Data Science for Cyber Physical Systems (DSCPS) is the
1st Special Session focusing on original research on concepts, tools, and
techniques from computer science, control theory, and applied mathematics
for the analysis and control of cyber physical systems, with an emphasis on
safety and security. By drawing on strategies from data mining, analysis,
computation and control, the mining for cyber physical systems is
applicable to both man-made cyber-physical systems (ranging from small
robots to global infrastructure networks) and natural systems (ranging from
biochemical networks to physiological models). Papers in the Special
Session are expected to range over a wide spectrum of topics from
theoretical results to practical considerations, and from academic research
to industrial adoption.

*Topics of Interest:*
Topics of interest include, but are not limited to:


   - Mining for Analysis, verification, validation, and testing.
   - Mining for Design, synthesis, planning, and control.
   - Programming and specification language.
   - Security, privacy, and resilience for cyber-physical systems with
   focus on computation and control.
   - Safe autonomy, Artificial intelligence and Machine learning in
   cyber-physical systems.
   - Applications and industrial case studies in: automotive,
   transportation, autonomous systems, avionics, energy and power, robotics,
   medical devices, manufacturing, systems and synthetic biology, models for
   the life sciences, and other related areas.


*Submission*

Submission Link: https://easychair.org/conferences/?conf=dsaa2020

Papers for a special session should be submitted to the special session
track instead of the main conference in the DSAA'2020 submission system.
Special session papers strictly follow the same specifications,
requirements and policies as the main conference submissions in terms of
the paper submission deadline, notification deadline, paper formatting and
length, and important policies. The paper length allowed for the papers is
a maximum of ten (10) pages.

The format for the papers is the standard 2-column U.S. letter style IEEE
Conference template. You can find more info here:
https://www.ieee.org/conferences/publishing/templates.html


Guidelines about formatting Research and Application tracks papers apply
also to Special Session papers.


*Important Dates*



*Special Session Submission Deadline: 24 May 2020Special Session
Notification: 26 Jul 2020*

*Organizers:*
Apurva Narayan, The University of British Columbia, Canada
Kapil Mathur, Microsoft, USA
Contact: apurva.nara...@ubc.ca.

-- 
*Dr. APURVA NARAYAN*  PhD
Assistant Professor | Department of Computer Science
  The University of British Columbia | Okanagan
Campus
Adjunct Assistant Professor | Department of Systems Design Engineering,
   University of Waterloo,
Waterloo, ON, Canada
3187 University Way | Kelowna BC | V1V 1V7 Canada
Phone 250 807 8272 Ext. 78272
http://people.ok.ubc.ca/anaray02/
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[UAI] SUM 2020 Final CfP: Submissions now due MAY 6TH, 2020

[Jesse Davis]

Apologies if you receive multiple copies.

 We want to reassure authors that we are monitoring the coronavirus 
situation and exploring contingency plans for a virtual conference 
should there a physical conference not be possible. Regardless, the 
proceedings will go ahead and will be published this year.  


=== 


Call for Papers
=== 



The 14th International Conference on Scalable Uncertainty Management 
(SUM 2020) will be  held in Bolzano, Italy from September 23-25, 2020. 
See:https://sum2020.inf.unibz.it/


The conference will be taking places as part of the Bolzano Summer of 
Knowledge event, see:https://summerofknowledge.inf.unibz.it/


=== 


Description
=== 



Established in 2007, the SUM conferences are annual events which aim to 
gather researchers with a common interest in managing and analyzing 
imperfect information from a wide range of fields, such as Artificial 
Intelligence and Machine Learning, Databases, Information Retrieval and 
Data Mining, the Semantic Web and Risk Analysis, and with the aim of 
fostering collaboration and cross-fertilization of ideas from the 
different communities. An originality of the SUM conferences is their 
care for dedicating a large space of their program to tutorials covering 
a wide range of topics related to uncertainty management. Each tutorial 
provides a survey of one of the research areas in the scope of the 
conference.



=== 


Topics of Interest
=== 



We solicit papers on the management of large amounts of complex kinds of 
uncertain, incomplete, or inconsistent information. We are particularly 
interested in papers that focus on bridging gaps, for instance between 
different communities, between numerical and symbolic approaches, or 
between theory and practice. Topics of interest include (but are not 
limited to):


Imperfect information in databases
- Methods for modeling, indexing, and querying uncertain databases
- Top-k queries, skyline query processing, and ranking
- Approximate, fuzzy query processing
- Uncertainty in data integration and exchange
- Uncertainty and imprecision in geographic information systems
- Probabilistic databases and possibilistic databases?
- Data provenance and trust
- Data summarization
- Very large datasets

Imperfect information in information retrieval and semantic web 
applications

- Approximate schema and ontology matching
- Uncertainty in description logics and logic programming
- Learning to rank, personalization, and user preferences
- Probabilistic language models
- Combining vector-space models with symbolic representations
- Inductive reasoning for the semantic web

Imperfect information in artificial intelligence
- Statistical relational learning, graphical models, probabilistic 
inference

Argumentation, defeasible reasoning, belief revision
- Weighted logics for managing uncertainty
- Reasoning with imprecise probability, Dempster-Shafer theory, 
possibility theory

- Approximate reasoning, similarity-based reasoning, analogical reasoning
- Planning under uncertainty, reasoning about actions, spatial and 
temporal reasoning

- Incomplete preference specifications
- Learning from data

Risk analysis
- Aleatory vs. epistemic uncertainty
- Uncertainty elicitation methods
- Uncertainty propagation methods
- Decision analysis methods
- Tools for synthesizing results

=== 


Submission Guidelines
=== 



SUM 2020 solicits original papers in the following three categories:

- Long papers (14 pages): technical papers reporting original research 
or survey papers


- Short papers (8 pages): papers reporting promising work-in-progress, 
system descriptions, position papers on controversial issues, or survey 
papers providing a synthesis of some current research trends


- Extended abstracts (2 pages) of recently published work in a relevant 
journal or top-tier conference


All SUM submissions must be formatted according to the LNCS/LNAI 
guidelines:https://www.springer.com/gp/computer-science/lncs/conference-proceedings-guidelines 



Papers should be submitted via 
EasyChair:https://easychair.org/conferences/?conf=sum2020


=== 


Dates

[UAI] IEEE BIBM 2020 Call for Papers

[CFP Conference]

Call For Paper 2020 IEEE International Conference on Bioinformatics and
Biomedicine (IEEE BIBM 2020) December 16-19, 2020, Seoul, South Korea

https://ieeebibm.org/BIBM2020/

The IEEE International Conference on Bioinformatics and Biomedicine (BIBM)
has established itself as the premier research conference in bioinformatics
and biomedicine. IEEE BIBM 2020 provides a leading forum for disseminating
the latest research in bioinformatics and health informatics. It brings
together academic and industrial scientists from computer science, biology,
chemistry, medicine, mathematics and statistics.

We solicit high-quality original research papers (including significant
work-in-progress) in any aspect of bioinformatics, genomics, and
biomedicine. New computational techniques and methods and their application
in life science and medical domains are especially encouraged. Relevant
topics include but are not limited to:

*1.   Bioinformatics and Computational Biology of Molecular Structure,
Function and Evolution*

1.a.Evolution, Phylogeny, Comparative Genomics

1.b.Protein/RNA Structure, Function and Interactions

1.c.3D genome



*2.   Computational Systems Biology*

2.a.Pathway Analysis

2.b.Biological Network Analysis

2.c.Interactomics

2.d.Gene Expression and Regulation

2.e.Post-translational Modifications

2.f. Alternative Splicing

2.g.Non-coding RNA Analysis



*3.   Next Generation Sequencing and High-throughput Methods*

3.a.Next-Gen Sequencing

3.b.Microarray Data Analysis

3.c.SNPs and Haplotype Analysis, GWAS, Personalized Genomics

3.d.Transcriptomics

3.e.Metabolomics

3.f. Proteomics

3.g.Epigenomics



*4.   Cheminformatics and pharmacogenomics*

4.a.Cheminformatics and Computer-Aided Drug Design

4.b.Molecular Docking

4.c.Molecular Modeling

4.d.Pharmacogenomics



*5.   Cross-Cutting Computational Methods and Bioinformatics of Disease*

5.a.Data Mining, Machine Learning, and Artificial Intelligence

5.b.Big Data Analytics

5.c.High Performance Computing

5.d.Information Retrieval, Ontologies, Natural Language Processing, and
Text Mining

5.e.Data Visualization

5.f. Computational Modeling and Data Integration

5.g.Precision Medicine

5.h.Genome-Phenome Analysis

5.i. Biomarker Discovery

5.j. Pathogen bioinformatics



*6.   Biomedical and Health Informatics*

6.a.Data Mining, Machine Learning, and Artificial Intelligence

6.b.Big Data Analytics

6.c.Information Retrieval, Ontologies, Natural Language Processing, and
Text Mining

6.d.Biomedical Image Analysis

6.e.Biomedical Signal Analysis

6.f. Healthcare Knowledge Representation & Reasoning

6.g.Data Visualization

6.h.Data Interoperability and Health Information Exchange

6.i. Human-computer Interaction and Human Factors

6.j. Clinical and Health Information Systems

6.k.Consumer Informatics and Personal Health Records

6.l. Electronic Medical/Health Records and Standards

6.m.  Mobile Health

6.n.Clinical Decision Support


INDUSTRIAL Track

The Industrial Track solicits papers describing implementations of
Bioinformatics and Biomedicine solutions relevant to industrial settings.
The focus of industry track is on papers that address the practical,
applied, or pragmatic or new research challenge issues related to the use
of bioinformatics and biomedicine technologies in industry. We accept full
papers (up to 8 pages), extended abstracts (2-4 pages), as well as short
abstracts (1 page, 500 words).


Journal special issues

IEEE BIBM has a tradition to publish selected papers as special issues in
highly respected journals. We will publish the special issues publications
with many journals:

   - IEEE Transactions on NanoBiosceince
   - IEEE/ACM Transactions on Bioinformatics and Computational Biology
   - International Journal of Data Mining and Bioinformatics
   - Methods
   - BMC Genomics
   - BMC Bioinformatics
   - BMC Complementary and Alternative Medicine
   - BMC Bioinformatics
   - BMC Medical Genomics
   - BMC Human Genomics

 In the past BIBM conferences, the number of special issues are:

   - BIBM 2018: 11 special issues
   - BIBM 2017: 9 special issues
   - BIBM 2016: 9 special issues
   - BIBM 2015: 9 special issues
   - BIBM 2014: 10 special issues
   - BIBM 2013: 9 special issues
   - BIBM 2012: 8 special issues
   - BIBM 2011: 8 special issue
   - BIBM 2010: 7 special issues
   - BIBM 2009: 4 special issues
   - BIBM 2008: 4 special issues

Student Travel Award

BIBM 2020 will offer as many as possible student travel awards to student
authors (including post-doc).

   - BIBM 2019: 35 Student travel Awards
   - BIBM 2018: 25 student travel awards
   - BIBM 2017: 20 student travel awards
   - BIBM 2016: 36 student travel awards
   - BIBM 2015: 30 student travel awards
   - BIBM 2014: 25 student travel awards
   - BIBM 2013: 40 stude

[UAI] [CfP] Security and Trust Management 2020 Call for Papers

[Hurley-Smith, Darren]

Greetings,


We would like to bring your attention to the following call for papers, as it 
is our belief that you share our professional interest in matters of Security 
and Trust Management.

===

STM 2020

The 16th International Workshop on Security and Trust Management

Co-located with: ESORICS 2020

September 17-18, 2020, University of Surrey, Guildford, UK

https://www.iit.cnr.it/stm2020/

===

SCOPE

STM (Security and Trust Management) is a working group of ERCIM (European 
Research Consortium in Informatics and Mathematics). STM 2020 is the sixteenth 
workshop in this series and will be held at the University of Surrey, 
Guildford, UK, in conjunction with the 25th European Symposium On Research in 
Computer Security (ESORICS 2020). The workshop seeks submissions from academia, 
industry, and government presenting novel research on all theoretical and 
practical aspects of security and trust in ICTs.

TOPICS OF INTEREST

  *   Access control
  *   Anonymity
  *   Applied cryptography
  *   Authentication
  *   Data and application security
  *   Data protection
  *   Data/system integrity
  *   Digital rights management
  *   Economics of security and privacy
  *   Formal methods for security and trust
  *   Identity management
  *   Legal and ethical issues
  *   Mobile security
  *   Networked systems security
  *   Operating systems security
  *   Privacy
  *   Security and trust metrics
  *   Security and trust policies
  *   Security and trust management architectures
  *   Security and trust for big data
  *   Security and trust in cloud environments
  *   Security and trust in content delivery networks
  *   Security and trust in crowdsourcing
  *   Security and trust in social networks
  *   Security and trust in the Internet of Things
  *   Security and trust in pervasive computing
  *   Security and trust in services
  *   Security and trust in edge computing
  *   Security and trust in embedded systems and associated applications
  *   Security and trust in blockchain protocols and applications
  *   Social implications of security and trust



IMPORTANT DATES

All deadlines are at 11.59PM / 23:59 American Samoa Time

Submission: June 22, 2020

Notification: August 3, 2020

Camera-ready: August 10, 2020



INSTRUCTIONS FOR PAPER SUBMISSION

All submissions should be appropriately anonymized (i.e., papers should not 
contain author names or affiliations, or obvious citations). Submissions should 
be at most 16 pages in the LNCS format, including the bibliography and 
well-marked appendices.

All submissions must be written in English, and only PDF files will be accepted 
(a Latex source file will be required for the final version of accepted 
papers). The final version of an accepted paper must be in the format required 
for publication in the LNCS series. Authors should consult Springer’s authors’ 
guidelines and use their proceedings templates. Springer encourages authors to 
include their ORCIDs https://goo.gl/hbsa4D in their papers. Submissions not 
meeting these guidelines risk rejection without consideration of their merits. 
Submissions are to be made to the submission web site at: 
https://easychair.org/conferences/?conf=stm2020

Papers must be received by the deadline of June 22 (11:59 p.m. American Samoa 
time). At least one author of accepted papers must guarantee that they will 
present their paper at the workshop. As in previous years, the proceedings are 
planned to be published by Springer in the Lecture Notes in Computer Science 
(LNCS) series.

A paper submitted to STM 2020 cannot be under review for any other conference 
or journal during the time it is being considered for STM 2020. Furthermore, 
after you submit to STM 2020, you must await our response before submitting 
elsewhere. If you submit your paper to another conference or journal either 
before or after submission of the paper to STM 2020, we will reject your paper 
without review and will also notify the other conference/journal. This 
restriction applies to identical as well as to substantially similar papers.

In addition, the corresponding author of each accepted paper, acting on behalf 
of all of the authors of that paper, must complete and sign a 
Consent-to-Publish form. The corresponding author signing the copyright form 
should match the corresponding author marked on the paper. Once the files have 
been sent to Springer, changes relating to the authorship of the papers cannot 
be made.

PROGRAM CHAIRS

Kostantinos Markantonakis, Information Security Dept., Royal Holloway, UK

Marinella Petrocchi, Institute for Informatics and Telematics, CNR, Pisa, Italy



PROGRAM COMMITTEE

Sara Abugazalah, King Khalid University, Saudi Arabia

Raja Naeem Akram, Information Security Dept., Royal Holloway, UK

Cristina Alcaraz, University of Malaga, Spain

Stefano Calzavara, 

[UAI] Special Issue on Sentiment Analysis in COGN (impact factor: 4.287)

[Erik Cambria]

TITLE
A Decade of Sentic Computing

EDITORS
Erik Cambria, Nanyang Technological University (Singapore)
Amir Hussain, Edinburgh Napier University (United Kingdom)

JOURNAL
Cognitive Computation (impact factor: 4.287)

CFP WEBLINK
sentic.net/adsc.pdf

BACKGROUND AND MOTIVATION
In the past ten years, sentic computing positioned itself as a horizontal 
technology that served as a back-end to many different applications in the 
areas of e-business, e-commerce, e-health, e-governance, e-security, 
e-learning, e-tourism, e-mobility, e-entertainment, and more. Some examples of 
such applications include financial forecasting and healthcare quality 
assessment, community detection and social media marketing, human communication 
comprehension and dialogue systems.

In this light, this Special Issue focuses on the introduction, presentation, 
and discussion of novel approaches that further develop and apply sentic 
computing models (e.g., the Hourglass of Emotions or Sentic Patterns), 
algorithms (e.g., Sentic LDA or Sentic LSTM), and resources (e.g., SenticNet or 
AffectiveSpace) for the design of emotion-sensitive applications. Articles are 
thus invited in areas such as natural language processing, information 
retrieval, data mining, pattern recognition, knowledge-based systems, novel 
neural and cognitive models. Topics include, but are not limited to:

Sentic Computing for Human-Computer Interaction
- dialogue systems
- multimodal interaction
- affective robots

Sentic Computing for Business Intelligence
- social media marketing
- recommendation systems
- customer experience management

Sentic Computing for Finance
- market trend prediction
- portfolio management
- asset allocation

Sentic Computing for Healthcare
- outbreak management
- patient-reported outcome measures
- mental disorder detection

Sentic Computing for Social Media Monitoring
- cyber issue detection
- political forecasting
- public opinion mining

Sentic Computing for Social Good
- sexual harassment detection
- discrimination prevention
- suicidal ideation detection

Sentic Computing for the Arts
- emotion visualization
- ethnography
- emotional design in digital media

TIMEFRAME
Submission Deadline: June 15th, 2020
Notification of Acceptance: August 1st, 2020
Final Manuscripts Due: September 1st, 2020
Date of Publication: December 2020

Cheers,
~Erik
_

Erik Cambria
Associate Professor
Provost Chair in CSE

SCSE N4-02a-27
Nanyang Technological University
50 Nanyang Ave, Singapore 639798

sentic.net
fb.com/senticnet
twitter.com/senticnet

[cid:C112E6BF-3C0C-49EE-8A13-3ED8654B0404@ntu.edu.sg]



CONFIDENTIALITY: This email is intended solely for the person(s) named and may 
be confidential and/or privileged. If you are not the intended recipient, 
please delete it, notify us and do not copy, use, or disclose its contents.
Towards a sustainable earth: Print only when necessary. Thank you.
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[UAI] International Conference on Marketing and Technologies (ICMarkTech'20), Lisbon, Portugal

[Maria Lemos]

--  --  
--  --  
--  --

Call For Papers


ICMarkTech'20 - International Conference on Marketing and Technologies of 2020
8 to 10 October 2020 in Lisbon, Portugal
http://www.icmarktech.org 



--  --  
--  --  
--  -



Scope




ICMarkTech'20 

 - The 2020 International Conference on Marketing and Technologies 
(www.icmarktech.org ), which will be held at ISCTE 
- University Institute of Lisbon 
,
 in the city of Lisbon 

 in Portugal, between 8 and 10 October 2020, is an international forum for 
researchers and professionals to present and discuss the latest innovations, 
trends, results, experiences and concerns in the various fields of Marketing 
and Technologies related to it.

We are pleased to invite you to submit your articles to ICMarkTech'20. They can 
be written in English, Spanish or Portuguese. All submitted articles will be 
reviewed based on their relevance, originality, importance and clarity.



Topics



Papers submitted should relate to one or more of the main themes proposed for 
the Conference:


* Artificial Intelligence Applied in Marketing

* Virtual and Augmented Reality in Marketing

* Business Intelligence Databases and Marketing

* Data Mining and Big Data - Marketing Data Science

* Web Marketing, e-commerce and v-commerce

* Social Media and Networking

* Omnichannel and Marketing Communication

* Marketing, Geomarketing and IOT

* Marketing Automation and Marketing Inbound

* Machine Learning Applied to Marketing

* Customer Data Management and CRM

* Neuromarketing Technologies

* Mobile Marketing and Wearable Technologies

* Gamification Technologies to Marketing




WorkShops

I WMACOMTE 2020  – 1st 
Workshop in Marketing, Consulting, Political Communication and Technologies.




I WADVAM 2020  – 1st 
Workshop in Analytics and Data Visualization Applied in Marketing.




I WDMB 2020  – 1st 
Workshop Digital Marketing and Branding.




I BMASmartC 2020  – 1st 
Workshop on Innovative Business Models and Applications for Smart Cities.





Submissions and Decisions



Submitted papers must comply with the format of Smart Innovation, Systems and 
Technologies (see Instructions for Authors at Springer Website 
),
 be written in English, must not have been published before, not be under 
review for any other conference or publication and not include any information 
leading to the authors’ identification. Therefore, the authors’ names, 
affiliations and bibliographic references should not be included in the version 
for evaluation by the Scientific Committee. This information should only be 
included in the camera-ready version, saved in Word or Latex format and also in 
PDF format. These files must be accompanied by the Consent to Publish 

 form filled out, in a ZIP file, and uploaded at the conference management 
system.

Submitted papers written in Spanish or Portuguese (until 15-page limit) must 
comply with the format of RISTI 

 - Revista Ibérica de Sistemas e Tecnologias de Informação (download Spanish 

 or Portuguese 

 instructions/template for authors), must not have been published before, not 
be under review for any other conference or publication and not include any 
information leading to the authors’ identification. Therefore, the authors’ 
names, affiliations and e-mails should not be included in the version for 
evaluation by the Scientific Committee. This information should only be 
included in the camera-ready version, saved in Word. These files must be 
uploaded at the conference management system in a ZIP file.

Poster pape

[UAI] Final call for contributions for the virtual WiL 2020 (4th Women in Logic Worskhop collocated with Petri Nets, IJCAR etc)

[Rozman, Mihaela]

(Deadline approaching, last chance to submit a contribution.)
(Please consider sharing this piece of information among the nodes in your 
network.)
(Apologies for cross-posting.)


Are you a woman working in logic?
Are you planning to participate at FSCD-IJCAR 2020?
Please join us at WiL, give a talk, and enjoy a day with Women in Logic!

Please submit an abstract of 1-2 pages by May 10, 2020 via EasyChair.
This will help us provide an interesting program, with only a light-weight
selection procedure. More information below:

  Call for Contributions

WiL 2020: 4th Women in Logic Workshop
 virtual
  30 June 2020

  https://sites.google.com/g.uporto.pt/wil2020


Women in Logic 2020 is part of "Paris Nord Summer of LoVe 2020"
(https://lipn.univ-paris13.fr/summer-of-love-2020/), a joint event on
LOgic and VErification, made of Petri Nets 2020, IJCAR 2020, FSCD 2020,
and over 20 satellite events.

The Women in Logic workshop (WiL) provides an opportunity to increase
awareness of the valuable contributions made by women in the area of
logic in computer science. Its main purpose is to promote the excellent
research done by women, with the ultimate goal of increasing their
visibility and representation in the community. Our aim is to:

- provide a platform for female researchers to share their work and
achievements;
- increase the feelings of community and belonging, especially among
junior faculty, post-docs and students through positive interactions
with peers and more established faculty;
- establish new connections and collaborations;
- foster a welcoming culture of mutual support and growth within the
logic research community.
We believe these aspects will benefit women working in logic and computer
science, particularly early-career researchers.

Previous versions of Women in Logic (Reykjavik, Iceland 2017,
Oxford, UK 2018 and Vancouver, Canada 2019) were very successful
in showcasing women's work and as catalysts for recognition of the
need for change in the community.

Topics of interest include but are not limited to: automata
theory, automated deduction, categorical models and logics,
concurrency and distributed computation, constraint programming,
constructive mathematics, database theory, decision procedures,
description logics, domain theory, finite model theory, formal aspects
of program analysis, formal methods, foundations of computability,
games and logic, higher-order logic, lambda and combinatory calculi,
linear logic, logic in artificial intelligence, logic programming,
logical aspects of bioinformatics, logical aspects of computational
complexity, logical aspects of quantum computation, logical
frameworks, logics of programs, modal and temporal logics, model
checking, probabilistic systems, process calculi, programming language
semantics, proof theory, real-time systems, reasoning about security
and privacy, rewriting, type systems and type theory, and
verification.

INVITED SPEAKERS
* Maribel Fernández (Kings College London)
* Alexandra Silva (University College London)

IMPORTANT DATES
Abstract submission deadline: May 10, 2020
Notification: June 2, 2020

SUBMISSIONS
Abstracts should be written in English (1-2 pages),
and prepared using the Easychair style
(https://easychair.org/publications/for_authors).

The abstracts should be uploaded to the WiL 2020 Easychair page
as a PDF file  (https://easychair.org/conferences/?conf=wil2020)
before the submission deadline of May 10, 2020, anywhere on Earth.

ORGANIZING AND PROGRAM COMMITTEE
* Sandra Alves (Co-chair, University of Porto)
* Amy Felty (University of Ottawa)
* Delia Kesner (Université de Paris)
* Sandra Kiefer (Co-chair, RWTH Aachen University)
* Koko Muroya (RIMS Kyoto University)
* Daniele Nantes (University of Brasília)
* Valeria de Paiva (Samsung Research America)
* Brigitte Pientka (McGill University)
* Sonja Smets (ILLC - University of Amsterdam)
* Ana Sokolova (Co-chair, University of Salzburg)

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[UAI] CVML live Web lectures 9th May 2020: 1) Structure from Motion 2) 2D convolution and correlation algorithms

[ioannakoroni]

Dear Computer Vision/Machine Learning/Autonomous Systems students,
engineers, scientists and enthusiasts,

 

Artificial Intelligence and Information analysis (AIIA) Lab, Aristotle
University of Thessaloniki, Greece is proud to launch the live CVML Web
lecture series 

that will cover very important topics Computer vision/machine learning. Two
lectures will take place on Saturday 9th May 2020:

 

1) Structure from Motion  

2) 2D convolution and correlation algorithms

 

Date/time: 

a) Saturday 11:00-12:30 EET (17:00-18:30 Beijing time) for audience in Asia
and will be repeated

b) Saturday 20:00-21:30 EET (13:00-14:30 EST, 10:00-11:30 PST for NY/LA,
respectively) for audience in the Americas. 

 

Registration  can be done using the link:
http://icarus.csd.auth.gr/cvml-web-lecture-series/

>From this week onwards, asynchronous access to past CVML live Web lecture
material (video, pdf/ppt) will be allowed. Separate email will be sent for
this option. 

 

Lectures abstract

 

1) Structure from Motion  

Summary: Image-based 3D Shape Reconstruction, Stereo and multiview imaging
principles. Feature extraction and matching. Triangulation and Bundle
Adjustment. Mathematics of structure from motion. UAV image capturing.
Optimal UAV flight trajectory/flight height/viewing angle/image overlap
ratio. Pre/post-processing for 3D reconstruction: flat surface
smoothing/mesh modification/isolated point removal.  Structure from motion
applications: 3D face reconstruction from uncalibrated video. 3D landscape
reconstruction. 3D building/monument reconstruction and modeling,

 

2) 2D convolution and correlation algorithms

Summary: 2D convolutions play an extremely important role in machine
learning, as they form the first layers of Convolutional Neural Networks
(CNNs). They are also very important for computer vision (template matching
through correlation, correlation trackers) and in image processing (image
filtering/denoising/restoration). 3D convolutions are very important for
machine learning (video analysis through CNNs) and for video
filtering/denoising/restoration. 1D convolutions are extensively used in
digital signal processing (filtering/denoising)  and analysis (also through
CNNs). Therefore, 2D convolution and correlation algorithms are very
important both for machine learning and for signal/image/video processing
and analysis. As their computational complexity is of the order O(N^4),
their fast execution is a must. This lecture will overview 1D/2D linear and
cyclic convolution. Then it will present their fast execution through FFTs,
resulting in algorithms having computational complexity of the order
O(Nlog2N), O(N^2log2N) for 1D and 2D convolutions respectively. Parallel
block-based 2D convolution/calculation methods will be overviewed.  The use
of 2D convolutions in Convolutional Neural Networks will be presented.

 

Lecturer: Prof. Ioannis Pitas (IEEE fellow, IEEE Distinguished Lecturer,
EURASIP fellow) received the Diploma and PhD degree in Electrical
Engineering, both from the Aristotle University of Thessaloniki, Greece.
Since 1994, he has been a Professor at the Department of Informatics of the
same University. He served as a Visiting Professor at several Universities.

His current interests are in the areas of image/video processing, machine
learning, computer vision, intelligent digital media, human centered
interfaces, affective computing, 3D imaging and biomedical imaging. He has
published over 1138 papers, contributed in 50 books in his areas of interest
and edited or (co-)authored another 11 books. He has also been member of the
program committee of many scientific conferences and workshops. In the past
he served as Associate Editor or co-Editor of 9 international journals and
General or Technical Chair of 4 international conferences. He participated
in 70 R&D projects, primarily funded by the European Union and is/was
principal investigator/researcher in 42 such projects. He has 3+
citations to his work and h-index 81+ (Google Scholar). 

Prof. Pitas lead the big European H2020 R&D project MULTIDRONE:
https://multidrone.eu/ and is principal investigator (AUTH)  in H2020
projects Aerial Core and AI4Media. He is chair of the Autonomous Systems
initiative https://ieeeasi.signalprocessingsociety.org/.

Prof. I. Pitas: https://scholar.google.gr/citations?user=lWmGADwJ
 &hl=el

AIIA Lab www.aiia.csd.auth.gr  

Lectures will consist primarily of live lecture streaming and PPT slides.
Attendees (registrants) need no special computer equipment for attending the
lecture. They will receive the lecture PDF before each lecture and will have
the ability to ask questions real-time. Audience should have basic
University-level undergraduate knowledge of any science or engineering
department (calculus, probabilities, programming, that are typical e.g., in
any ECE, CS, EE undergraduate program).  More advanced 

[UAI] CFP: IEEE Int. Conferences (ISPA, BDCloud, SocialCom, SustainCom) in Exeter, England, UK, 15-17 October 2020

[Zhengxin Yu]

[Please accept our apologies if you receive multiple copies of this email]



*** IEEE (ISPA-2020, BDCloud-2020, SocialCom-2020, SustainCom-2020
International Conferences ***



To be held in Exeter, England, UK, 15-17 October 2020.



The 18th IEEE International Symposium on Parallel and Distributed
Processing with Applications (ISPA-2020)

https://hpcn.exeter.ac.uk/ispa2020



The 10th IEEE International Conference on Big Data and Cloud Computing
(BDCloud-2020)

https://hpcn.exeter.ac.uk/bdcloud2020



The 13th IEEE International Symposium on Social Computing and Networking
(SocialCom-2020)

https://hpcn.exeter.ac.uk/socialcom2020



The 10th IEEE International Conference on Sustainable Computing and
Communications (SustainCom-2020)

https://hpcn.exeter.ac.uk/sustaincom2020



Sponsored by

IEEE, IEEE Computer Society, and IEEE Technical Committee of Scalable
Computing (TCSC)



IMPORTANT DATES

===



Workshop/Special Session Proposal Due:  1 May 2020

Paper Submission Deadline:1 June 2020

Authors Notification: 10 August 2020

Camera-Ready Paper Due:   8 September 2020

Early Registration Due:   8 September 2020

Conference Date:  15-17 October 2020



PAPER SUBMISSION GUIDELINE

==

All papers need to be submitted electronically through the conference
websites with PDF format. The materials presented in the papers should not
be published or under submission elsewhere. Each paper is limited to 8
pages (or 10 pages with over length charge) including figures and
references using IEEE Computer Society Proceedings Manuscripts style (two
columns, single-spaced, 10 fonts). You can confirm the IEEE Computer
Society Proceedings Author Guidelines at the following web page:

http://www.computer.org/web/cs-cps/

Manuscript Templates for Conference Proceedings can be found at

https://www.ieee.org/conferences_events/conferences/publishing/templates.html

Once accepted, the paper will be included into the IEEE conference
proceedings published by IEEE Computer Society Press (indexed by EI). The
authors of selected papers will be invited to extend their contributions
for special issues of prestigious journals.
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[UAI] First CFP : ICDM IncrLearn Workshop

[Jean-Charles Lamirel]

First Call For Papers 
IncrLearn Workshop: Incremental classification and clustering, 
concept drift, novelty detection in big/fast data context 

In conjunction with: 20th IEEE International Conference on Data Mining (ICDM 
2020) 
Workshop Website: https://sites.google.com/view/incrlearn 
ICDM 2020 Website: http://icdm2020.bigke.org 

The development of dynamic information analysis methods, like incremental 
classification/clustering, concept drift management and novelty detection 
techniques, is becoming a central concern in a bunch of applications whose main 
goal is to deal with information which is varying over time or with information 
flows that can oversize memory storage or computation capacity. These 
applications 
relate themselves to very various and highly strategic domains, including 
web mining, social network analysis, adaptive information retrieval, anomaly or 
intrusion detection, process control and management recommender systems, 
technological and scientific survey, and even genomic information analysis, 
in bioinformatics. 

The term “incremental” is often associated to the terms evolutionary, adaptive, 
interactive, on-line, or batch. The majority of the learning methods were 
initially defined in a non-incremental way. However, in each of these families, 
were initiated incremental methods making it possible to take into account the 
temporal component of a data flow or to achieve learning on huge/fast datasets 
in a tractable way. In a more general way incremental classification/clustering 
algorithms and novelty detection approaches are subjected to the following 
constraints: 

* Potential changes in the data description space must be taken into 
consideration; 
* Possibility to be applied without knowing as a preliminary all the data 
to be analyzed; 
* Taking into account of a new data must be carried out without making 
intensive 
use of the already considered data; 
* Result must but available after insertion of all new data. 

The above mentioned constraints clearly follow the VVV (Volume-Velocity and 
Variety) rule and thus directly fit with big/fast data context. This workshop 
aims 
to offer a meeting opportunity for academics and industry-related researchers, 
belonging to the various communities of Computational Intelligence, Machine 
Learning, Experimental Design, Data Mining and Big/Fast Data Management to 
discuss 
new areas of incremental classification, concept drift management and novelty 
detection and on their application to analysis of time varying information and 
huge 
dataset of various natures. Another important aim of the workshop is to bridge 
the 
gap between data acquisition or experimentation and model building. 

Through an exhaustive coverage of the incremental learning area workshop will 
provide fruitful exchanges between plenaries, contributors and workshop 
attendees. 
The emerging big/fast data context will be taken into consideration in the 
workshop. 
The set of proposed incremental techniques includes, but is not limited to: 

* Novelty detection algorithms and techniques 
* Semi-supervised and active learning approaches 
* Machine learning for data streams 
* Adaptive hierarchical, k-means or density-based methods 
* Adaptive neural methods and associated Hebbian learning techniques 
* Incremental deep learning 
* Multiview diachronic approaches 
* Probabilistic approaches 
* Distributed approaches 
* Graph partitioning methods and incremental clustering approaches based on 
attributed graphs 
* Incremental clustering approaches based on swarm intelligence and genetic 
algorithms 
* Evolving classifier ensemble techniques 
* Incremental classification methods and incremental classifier evaluation 
* Dynamic feature selection techniques 
* Clustering of time series 
* Visualization methods for evolving data analysis results 
The list of application domain is includes, but it is not limited to: 
* Evolving textual information analysis 
* Evolving social network analysis 
* Dynamic process control and tracking 
* Intrusion and anomaly detection 
* Genomics and DNA microarray data analysis 
* Adaptive recommender and filtering systems 
* Scientometrics, webometrics and technological survey 

Important dates: 
* Paper submission: August 24, 2020 
* Notification of acceptance: September 17, 2020 
* Camera-ready (+ copyright): September 24, 2020 
* IncrLearn workshop: November 17, 2020 
* ICDM 2020 conference: November 17-20, 2020 

Submission instructions: 
The objective of this workshop is to facilitate presentations and discussions 
to 
share experience and knowledge on the issues related to incremental learning. 

Different kinds of submissions are welcome: 
* Academic contributions related to theoretical research 
* Contributions on the practical relevance of research work or models 

Submission format: 
The workshop will accept short as well long submissions: 
Short submissions will be more focused on on-going works and should have 
four (4) 

[UAI] AI4Narratives@IJCAI2020 (Deadline Further Extended, 10th May, 2020) - First International Workshop on Artificial Intelligence for Narratives, July 13, 2020 – Yokohama, Japan

[Shamsuddeen Hassan]

** Apologies for cross-posting ***
Please, feel free to redistribute!

COVID-19 Information: There is a high probability that IJCAI 2020 goes virtual, 
partially or totally. In any case, the organizers of this workshop intend to 
assure that it will run as smoothly and as lively as possible. The aim is to 
keep the community working and keep sharing our discoveries and that every 
author, interested researcher or practitioner can attend either locally or 
remotely.

++ CALL FOR PAPERS ++

**
First International Workshop on Artificial Intelligence for Narratives 
(AI4Narratives’20) to be held in conjunction with the 29th International Joint 
Conference on Artificial Intelligence and the 17th Pacific Rim International 
Conference on Artificial Intelligence (IJCAI-PRICAI2020)

Website: ai4narratives20.inesctec.pt

**

++ Important Dates ++
- Submission deadline: 10th May, 2020  **further extended due to several 
requests**
- Acceptance Notification Date: May 30th, 2020
- Camera-ready copies: June 1th, 2020
- Workshop: July 13th, 2020

++ Overview ++
This workshop aims to bring together AI researchers and practitioners working 
on the topic of Narratives, mainly for those working on NLP, but open to other 
relevant inputs in this emerging area. We invite researchers and practitioners 
to submit research papers, demo papers, position papers and nectar papers.

++ List of Topics ++
Contributions on the following topics are welcome, as well as on other not 
listed but highly relevant topics.

- Narrative Extraction from the text, including social media.
- Narrative Understanding.
- Storyfication of non-textual data, including image, video, financial, 
weather, sports and sensor data.
- Narrative formalisation and reasoning on narratives, including representation 
formalisms and narrative calculus.
- Representing Narratives graphically or in other forms of communication, 
including infographics, cartoons, slide shows, video-clips, video-games, etc.
- Generation of textual narratives, including narrative construction, narrative 
creation, planning and problem solving for narratives.
- Narrative Temporal Reasoning.
- Bias in Narrative Generation.
- Applications of narrative extraction and generation, including media, health 
care, science, sports, industry, business and administration, education, 
recommender systems and XAI.
- Evaluation methodologies for Narrative Extraction and Generation.
- Related methods for narrative construction, including abstractive 
summarization, reinforcement learning, transfer learning, and so on.

++ Submission Guidelines ++
We encourage the following kinds of submissions:

- Research papers (max 6 pages + references) with original work, promoting and 
sharing exciting new ideas and fostering discussion or describing well-founded 
impactful applications
- Demo papers (max 3 pages + references) describing relevant tools
- Position papers (max 3 pages + references) describing relevant and supporting 
points of view, including a description of ongoing projects
- Nectar papers (max 3 pages + references) with a summary of work published in 
other conferences or journals that is worthwhile sharing with the community

Papers must be submitted electronically in PDF format through EasyChair 
(easychair.org/conferences/?conf=ai4narratives2020). All submissions must be in 
English and formatted according to the IJCAI format style 
(www.ijcai.org/authors_kit).

Submissions will be peer-reviewed by at least two members of the programme 
committee. The accepted papers will appear in the proceedings published at CEUR 
workshop proceedings (usually indexed on DBLP). We also plan to launch a 
special journal issue on the topic.

++ Workshop Format ++
Accepted works will be assigned oral presentations and/or demo slots and/or 
poster presentations.

++ Invited Speakers ++
 TBA

++ Organizing committee ++
- Alípio M. Jorge (INESC TEC; University of Porto, Portugal)
- Ricardo Campos (INESC TEC; Ci2 - Smart Cities Research Center, Polytechnic 
Institute of Tomar, Tomar, Portugal)
- Adam Jatowt (Kyoto University, Japan)
- Akiko Aizawa (NII Tokyo, Japan)

++ Proceedings Chair ++
− João Paulo Cordeiro (INESC TEC; University of Beira Interior)

++ Media and Dissemination Chair ++
− Arian Pasquali (INESC TEC)
− Brenda Santana (INESC TEC)
- Shamsuddeen Muhammad (INESC TEC)

++ Review Support Chair ++
− Daniel Loureiro (INESC TEC)

++ Program Committee (to be extended) ++
Álvaro Figueira (University of Porto)
Andreas Spitz (École polytechnique fédérale de Lausanne)
António Branco (Universidade de Lisboa)
Arian Pasquali (INESC TEC)
Bruno Martins (IST and INESC-ID - Instituto Superior Técnico, University of 
Lisbon)
Daniel Loureiro (University of Porto)
Dennis Aumiller (Heidelberg University)
Dhruv Gupta (Max Planck Institute for Informatics