date:20190612

[UAI] Come join us as a postdoc or PhD student in Bioinformatics at HZI

2019-06-12 Thread McHardy, Alice C.

Dear all,


we are looking for postdocs and PhD students who would like to work with us in 
the Department of Computational Biology for Infection Research at HZI.


More details can be found below and feel free to contact me with questions.


https://tinyurl.com/yy6l7z9b


Best,

Alice McHardy


Prof. Alice C. McHardy
Computational Biology of Infection Research
Helmholtz Centre for Infection Research



Helmholtz-Zentrum für Infektionsforschung GmbH | Inhoffenstraße 7 | 38124 
Braunschweig | www.helmholtz-hzi.de

Vorsitzende des Aufsichtsrates: Frau MinDir'in Prof. Dr. Veronika von Messling
Stellvertreter: MinDirig Rüdiger Eichel, Niedersächsisches Ministerium für 
Wissenschaft und Kultur
Geschäftsführung: Prof. Dr. Dirk Heinz; Silke Tannapfel
Gesellschaft mit beschränkter Haftung (GmbH)
Sitz der Gesellschaft: Braunschweig
Handelsregister: Amtsgericht Braunschweig, HRB 477
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[UAI] [CfP] Knowledge Representation and Reasoning (KRR) @SAC2020

2019-06-12 Thread Francesco Santini

#
The 35th ACM SIGAPP Symposium On Applied Computing 
Brno, Czech Republic
March 30-April 3, 2020

Track on Knowledge Representation and Reasoning (KRR) 
Website: http://www.dmi.unipg.it/bista/organizing/KRR@sac2020

SUBMISSION DEADLINE: September 15, 2019 

#



DEADLINES AND IMPORTANT DATES: 
September 15, 2019: Submission of regular papers and SRC abstracts. 
November 10, 2019: Notification of papers and posters and SRC 
acceptance/rejection. 
November 25, 2019: Camera-ready copies of accepted papers. 
March 30-April 3, 2020: Conference




SUMMARY OF IMPORTANT INFORMATION FOR AUTHORS:
The review process is double-blind, so authors need to completely anonymise 
their submissions.

Size of submissions is -strictly- limited to 8 pages in SAC Latex style (please 
refer to 
http://www.sigapp.org/sac/sac2020/ to download the author kit).
Two additional pages may be included for an additional fee, only after 
acceptance.

Submission system: TO BE ANNOUNCED AT http://www.sigapp.org/sac/sac2020/






OVERVIEW: 
The topic of the track covers an important field of research in Artificial 
Intelligence: Knowledge Representation and Reasoning (KRR) is dedicated to 
representing information about the world in a form that a computer system can 
utilise to solve complex tasks. Examples of knowledge representation formalisms 
include semantic nets, systems architecture, frames, rules, and ontologies. 
Some examples of automated reasoning engines include inference engines, theorem 
provers, and classifiers. The KRR track will be a venue for all the researchers 
and practitioners working on the fundaments and applications of reasoning, and 
cross-fertilisation among different areas. 
ACM SAC is ranked CORE:B, MAS:A-, SHINE:A. The acceptance rate for each track 
is below 25% as established by conference guidelines.




CALL FOR PAPERS: 
Knowledge-representation is the field of artificial intelligence that focuses 
on designing computer representations that capture information about the world 
that can be used to solve complex problems. Its goal is to understand and build 
intelligent behavior from the top down, focusing on what an agent needs to know 
with the purpose to behave intelligently, how this knowledge can be represented 
symbolically, and how automated reasoning procedures can make this knowledge 
available as needed. In KRR a fundamental assumption is that an agent's 
knowledge is explicitly represented in a declarative form, suitable for 
processing by dedicated reasoning engines. Topics of interest include: 

- Argumentation. 
- Belief revision and update, belief merging. 
- Commonsense reasoning. 
- Contextual reasoning. 
- Description logics. 
- Diagnosis, abduction, explanation. 
- Inconsistency and exception tolerant reasoning, paraconsistent logics. 
- KR and autonomous agents: intelligent agents, cognitive robotics, multi-agent 
systems. 
- KR and decision making, game theory, social choice. 
- KR and machine learning, inductive logic programming, knowledge discovery and 
acquisition. 
- Logic programming, answer set programming, constraint (logic) programming. 
- Non-monotonic logics, default logics, conditional logics. 
- Preferences: modeling and representation, preference-based reasoning. 
- Reasoning about knowledge and belief, dynamic epistemic logic, epistemic and 
doxastic logics. 
- Reasoning systems and solvers, knowledge compilation. 
- Spatial reasoning and temporal reasoning, qualitative reasoning. 
- Uncertainty, representations of vagueness, many-valued and fuzzy logics. 


Submissions fall into the following categories: 
- Original and unpublished research work. 
- Reports of innovative computing applications in the arts, sciences, 
engineering, and business areas. 
- Reports of successful technology transfer to new problem domains. 
- Reports of industrial experience and demos of new innovative systems. 




SUBMISSION INSTRUCTIONS FOR REGULAR PAPERS: 
Original papers addressing any of the listed topics of interest (or related 
topics) will be considered. Each submitted paper will be fully refereed and 
undergo a double-blind review process by at least three referees. Accepted 
papers will be included in the ACM SAC 2020 proceedings and published in the 
ACM digital library, being indexed by Thomson ISI Web of Knowledge and Scopus. 
Submissions should be properly anonymised to facilitate blind reviewing: the 
author(s) name(s) and address(es) must NOT appear in the body of the paper, and 
self-reference should be in the third person. 

Size of submissions is *strictly* limited to 8 pages in SAC style; a maximum of 
2 additional pages may be included for an additional fee, by extending the 
final version of the accepted paper. 

Papers that received high reviews (that is acceptable by reviewer standards) 
but were not accepted due to space limitation can be invited for the poster 
session. The length of the poster is 3 pages (included in the registration) + 1 
page (at ex

[UAI] [OM-2019] Final call for papers (deadline June 28th)

2019-06-12 Thread Cassia TROJAHN

-
   FINAL CALL FOR CONTRIBUTIONS
   THE SUBMISSION DEADLINE IS APPROACHING ON JUNE 28TH, 2019
--
The Fourteenth International Workshop on 
ONTOLOGY MATCHING
(OM-2019)
 http://om2019.ontologymatching.org/
   October 26th or 27th, 2019, ISWC Workshop Program, 
  Auckland, New Zealand 
 
BRIEF DESCRIPTION AND OBJECTIVES
Ontology matching is a key interoperability enabler for the Semantic Web, 
as well as a useful technique in some classical data integration tasks 
dealing with the semantic heterogeneity problem. It takes ontologies 
as input and determines as output an alignment, that is, a set of 
correspondences between the semantically related entities of those ontologies. 
These correspondences can be used for various tasks, such as ontology 
merging, data interlinking, query answering or process mapping. 
Thus, matching ontologies enables the knowledge and data expressed 
with the matched ontologies to interoperate.

The workshop has three goals: 
1. 
To bring together leaders from academia, industry and user institutions 
to assess how academic advances are addressing real-world requirements. 
The workshop will strive to improve academic awareness of industrial 
and final user needs, and therefore, direct research towards those needs. 
Simultaneously, the workshop will serve to inform industry and user 
representatives about existing research efforts that may meet their 
requirements. The workshop will also investigate how the ontology 
matching technology is going to evolve, especially with respect to 
data interlinking, process mapping and web table matching tasks.

2. 
To conduct an extensive and rigorous evaluation of ontology matching 
and instance matching (link discovery) approaches through 
the OAEI (Ontology Alignment Evaluation Initiative) 2019 campaign:
http://oaei.ontologymatching.org/2019/

3. To examine new uses, similarities and differences from database 
schema matching, which has received decades of attention 
but is just beginning to transition to mainstream tools.

This year, in sync with the main conference, we encourage submissions 
specifically devoted to: (i) datasets, benchmarks and replication studies, 
services, software, methodologies, protocols and measures 
(not necessarily related to OAEI), and (ii) application of 
the matching technology in real-life scenarios and assessment 
of its usefulness to the final users.

TOPICS of interest include but are not limited to: 
Business and use cases for matching (e.g., big, open, closed data);
Requirements to matching from specific application scenarios (e.g., public 
sector, homeland security);
Application of matching techniques in real-world scenarios (e.g., with 
environmental data);
Formal foundations and frameworks for matching;
Matching and knowledge graphs;
Matching and deep learning;
Matching and embeddings;
Matching and big data;
Matching and linked data;
Instance matching, data interlinking and relations between them;
Privacy-aware matching;
Process model matching;
Large-scale and efficient matching techniques;
Matcher selection, combination and tuning;
User involvement (including both technical and organizational aspects);
Explanations in matching;
Social and collaborative matching;
Uncertainty in matching;
Reasoning with alignments;
Alignment coherence and debugging;
Alignment management;
Matching for traditional applications (e.g., data science);
Matching for emerging applications (e.g., web tables, knowledge graphs).

SUBMISSIONS
Contributions to the workshop can be made in terms of technical papers and 
posters/statements of interest addressing different issues of ontology matching 
as well as participating in the OAEI 2019 campaign. Long technical papers 
should 
be of max. 12 pages. Short technical papers should be of max. 5 pages. 
Posters/statements of interest should not exceed 2 pages. 
All contributions have to be prepared using the LNCS Style:
http://www.springer.com/computer/lncs?SGWID=0-164-6-793341-0
and should be submitted in PDF format (no later than June 28th, 2019) 
through the workshop submission site at: 

https://www.easychair.org/conferences/?conf=om2019

Contributors to the OAEI 2019 campaign have to follow the campaign conditions 
and schedule at http://oaei.ontologymatching.org/2019/.

DATES FOR TECHNICAL PAPERS AND POSTERS: 
June 28th, 2019: Deadline for the submission of papers.
July 24th, 2019: Deadline for the notification of acceptance/rejection.
August 26th, 2019: Workshop camera ready copy submission.
October 26th or 27th, 2019: OM-2019,  Auckland, New Zealand.

Contributions will be re

[UAI] Fwd: Neural Networks journal special issue on GANs

2019-06-12 Thread Ariel Ruiz-Garcia

 *TL;DR* – CFP:  Neural Networks journal special issue on GANs
GUEST EDITORS: Ariel Ruiz-Garcia, Jürgen Schmidhuber, Vasile Palade, Clive
Cheong Took, Danilo Mandic
SUBMISSION DEADLINE: September 2019(early submission are encouraged)
--

*CALL FOR PAPERS*: Neural Networks journal (7.197IF)

 *Special Issue on Deep Neural Network Representation and
Generative Adversarial Learning*

Generative Adversarial Networks (GANs) have proven to be efficient systems
for data generation. Their success is achieved by exploiting a minimax
learning concept, which has proved to be an effective paradigm in earlier
works, such as predictability minimization, in which two networks compete
with each other during the learning process. One of the main advantages of
GANs over other deep learning methods is their ability to generate new data
from noise, as well as their ability to virtually imitate any data
distribution. However, generating realistic data using GANs remains a
challenge, particularly when specific features are required; for example,
constraining the latent aggregate distribution space does not guarantee
that the generator will produce an image with a specific attribute. On the
other hand, new advancements in deep representation learning (RL) can help
improve the learning process in Generative Adversarial Learning (GAL). For
instance, RL can help address issues such as dataset bias and network
co-adaptation, and identify a set of features that are best suited for a
given task.

Despite their obvious advantages and their application to a wide range of
domains, GANs have yet to overcome several challenges. They often fail to
converge and are very sensitive to parameter and hyper-parameter
initialization. Simultaneous learning of a generator and a discriminator
network often results in overfitting. Moreover, the generator model is
prone to mode collapse, which results in failure to generate data with
several variations. Accordingly, new theoretical methods in deep RL and GAL
are required to improve the learning process and generalization performance
of GANs, as well as to yield new insights into how GANs learn data
distributions.

This special issue on Deep Neural Network Representation and Generative
Adversarial Learning invites researchers and practitioners to present novel
contributions addressing theoretical and practical aspects of deep
representation and generative adversarial learning. The special issue will
feature a collection of high quality theoretical articles for improving the
learning process and the generalization of generative neural networks.
State-of-the-art applications based on deep generative adversarial networks
are also very welcome. Topics of interest for this special issue include,
but are not limited to:

   - Representation learning methods and theory;
   - Adversarial representation learning for domain adaptation;
   - Network interpretability in adversarial learning;
   - Adversarial feature learning;
   - RL and GAL for data augmentation and class imbalance;
   - New GAN models and new GAN learning criteria;
   - RL and GAL in classification;
   - Adversarial reinforcement learning;
   - GANs for noise reduction;
   - Recurrent GAN models;
   - GANs for imitation learning;
   - GANs for image segmentation and image completion;
   - GANs for image super-resolution;
   - GANs for speech and audio processing
   - GANs for object detection;
   - GANs for Internet of Things;
   - RL and GANs for image and video synthesis;
   - RL and GANs for speech and audio synthesis;
   - RL and GANs for text to audio or text to image synthesis;
   - RL and GANs for inpainting and sketch to image;
   - RL and GAL in neural machine translation;
   - RL and GANs in other application domains.

*Important Dates:*

   - 30 September 2019 – Submission deadline (early submission are
   encouraged
   - 31 December 2019 – First decision notification
   - 28 February 2020 – Revised version deadline
   - 30 April 2020 – Final decision notification
   - July 2020 – Publication

*Guest Editors:*

*Dr Ariel Ruiz-Garcia*
Coventry University, UK
Email: ariel.9ar...@gmail.com

*Professor Jürgen Schmidhuber*
NNAISENSE,
Swiss AI Lab IDSIA,
USI & SUPSI, Switzerland
Email: juer...@idsia.ch

*Dr Vasile Palade*
Coventry University, UK
Email: vasile.pal...@coventry.ac.uk

*Dr Clive Cheong Took*
Royal Holloway (University of London), UK
Email: clive.cheongt...@rhul.ac.uk

*Professor Danilo Mandic*
Imperial College London, UK
Email: d.man...@imperial.ac.uk

*Submission Procedure:*
Prospective authors should follow the standard author instructions for
Neural Networks, and submit manuscripts online at
http://ees.elsevier.com/neunet/. Authors should select “VSI:RL and GANs”
when they reach the “Article Type” step and the "Request Editor" step in
the submission process.

For any questions related to the special issue please email Dr Ariel
Ruiz-Garcia (ariel.9ar...@gmail.com)
___

[UAI] Reminder: TWO 3-year PhD studentships in Deep Learning for Text Analytics

2019-06-12 Thread Ansgar Scherp

/Please distribute this information for *two available PhD positions* to
interested students.

*1.) Prolonged deadline extension to June 28th *for a *3-year PhD
position in Deep Learning for Text Analytics *with coverage of UK / EU
fees. This position is *most suitable for applicants from the UK / EU
and are strongly encouraged to apply. *For overseas applicants, please
note that this position will require additional funds to cover the gap
of the overseas tuition fees.

For details and to apply see:
https://www.essex.ac.uk/postgraduate-research-degrees/opportunities/predicting-dynamic-economic-systems

2.) *PhD position covering oversea fees* *with deadline of 14th June
2019 in Deep Learning for Text Analytics*. Due to generous support from
British Telecom, we can offer a PhD position that is covering the
tuition fees for EU / UK students as well as overseas students.

For details and to apply see:
https://www.essex.ac.uk/postgraduate-research-degrees/opportunities/analysing-and-understanding-multisource-and-multipurpose-unstructured-data

Please note, *only one application at a time is possible*. For questions
regarding the open PhD studentship positions, please contact me via
email (ansgar.sch...@essex.ac.uk) or phone +44 120687 2686.

Please *do not sent me your application papers directly via email* or
via feedback forms of job portals. Those applications are not accepted
by the university.

Best regards,

Ansgar

--
Professor Ansgar Scherp
Head of Natural Language and Information Processing
Department of Computer Science and Electrical Engineering
University of Essex

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[UAI] academic vacancy "hybrid AI" at KU Leuven, Belgium

2019-06-12 Thread Hendrik Blockeel

The Department of Computer Science at KU Leuven has an opening for a tenured / 
tenure track position in the area of hybrid artificial intelligence 
(integrating learning and reasoning). The new member of staff will be embedded 
within the lab for Declarative Languages and Artificial Intelligence (DTAI) of 
the Department. We are looking for internationally oriented candidates with 
both educational competence and excellent research experience in Artificial 
Intelligence and Computer Science, and with extensive expertise in the field of 
learning and reasoning.  More information is available at 
https://www.kuleuven.be/personeel/jobsite/jobs/55136992?hl=en&lang=en 
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[UAI] CFP: IEEE CIM Special Issue on Evolutionary Machine Learning

2019-06-12 Thread Yusuke NOJIMA

[Apologies for cross-postings]

===
IEEE Computational Intelligence Magazine 
Special Issue on Evolutionary Machine Learning
https://cis.ieee.org/images/files/Documents/call-for-special-issues/CIM_2020_May_CFP.pdf
===

This special issue covers all approaches within EML and highlights the most 
recent advances in the field of computational intelligence. There is a surge in 
interest in EML as the complementary nature of EC and ML successfully addresses 
each other’s issues. Methodological developments, practical applications and/or 
theoretical considerations (especially with regard to the stochastic nature of 
EML) are welcome. Insight into where the fusion of EC and ML can be more 
powerful than the techniques separately is encouraged.
 
The topics to be highlighted in this special issue include, but are not limited 
to, the following:
- Population-based reinforcement learning
- Evolutionary rule-based learning systems
- Evolutionary neural networks, including neuroevolution
- Evolutionary deep learning, including structure learning
- Hyper-parameter tuning with EC  
- Evolutionary decision trees
- Evolutionary cascade systems
- Evolutionary fuzzy systems
- Evolutionary reinforcement learning
- Evolutionary ensemble systems
- Genetic programming based ML
- Evolutionary feature selection and construction for ML
- Evolutionary transfer learning
- Explainable systems design
- Surrogate-model design by ML for EC
- Landscape analysis by ML for EC
- Knowledge acquisition from solutions obtained by EC
- Parameter learning and adaptation of EC by ML
- Real-world applications of EML
 
*** Submission Process ***
 All manuscripts must be submitted electronically in PDF format. Manuscripts 
must be typed in 12-point font, double spaced in single column format and 
adhere to a maximum length of 20 pages. Additional information on manuscript 
details and submission guidelines can be accessed from the IEEE CIM website:
https://cis.ieee.org/publications/ci-magazine/cim-information-for-authors
 
• Submissions must be made via the EasyChair link :
https://easychair.org/conferences/?conf=cimeml2020

• Send also an email to guest editors Will N. Browne and Yusuke Nojima 
(cimeml2...@easychair.org) with subject “IEEE CIM special issue submission” to 
notify about your submission.
 
*** Important Dates ***
Submission Deadline: July 15, 2019
Notification of Review Results: September 30, 2019
Submission of Revised Manuscripts: October 31, 2019
Submission of Final Manuscripts: December 15, 2019
Special Issue Publication: May 2020
 
*** Guest Editors ***
Will N. Browne
Victoria University of Wellington, New Zealand
will.bro...@vuw.ac.nz
http://ecs.victoria.ac.nz/Main/WillBrowne

Yusuke Nojima
Osaka Prefecture University, Japan
noj...@cs.osakafu-u.ac.jp
http://www.cs.osakafu-u.ac.jp/~nojima/


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[UAI] PODS2020 Call for Paper: Abstract Deadline June 16

2019-06-12 Thread Junhao Gan

Dear Admin,

This is Junhao Gan from the University of Melbourne. I am the Publicity Chair 
of PODS 2020.

We wonder whether we could post a CFP on UAI mailing list? Attached please find 
the text file of the CFP. Just in case, I pasted its content below. Thanks a 
lot.

PODS Call For Submissions

The Principles of Database Systems (PODS) symposium series, held in conjunction 
with the SIGMOD conference series, provides a premier annual forum for the 
communication of new advances in the theoretical foundations of data 
management, traditional or nontraditional (see https://databasetheory.org/PODS).

** Topics Of Interest **

For the 39th edition, PODS continues to aim to broaden its scope, and calls for 
research papers providing original, substantial contributions along one or more 
of the following tracks:

- deep theoretical exploration of topical areas central to data management
- new formal frameworks that aim at providing a basis for deeper theoretical 
investigation of important emerging issues in data management
- validation of theoretical approaches from the lens of practical applicability 
in data management. Papers in this track should provide an experimental 
evaluation that gives new insight in established theories. Besides, they should 
provide a clear message to the database theory community as to which aspects 
need further (theoretical) investigation, based on the experimental findings.

Topics that fit the interests of the symposium include, but are not limited to:

- concurrency & recovery, distributed/parallel databases, cloud computing
- data and knowledge integration and exchange, data provenance, views and data 
warehouses, metadata management
- data-centric (business) process management, workflows, web services
- data management and machine learning
- data mining, information extraction, search
- data models, data structures, algorithms for data management
- data privacy and security, human-related data and ethics
- data streams
- design, semantics, query languages
- domain-specific databases (multi-media, scientific, spatial, temporal, text)
- graph databases and (semantic) Web data
- incompleteness, inconsistency, uncertainty in data management
- knowledge-enriched data management
- model theory, logics, algebras, computational complexity

** Submission Format **

Submitted papers must be formatted using the standard ACM proceedings 
stylesheet (https://www.acm.org/publications/proceedings-template). Submitted 
papers should be at most twelve pages, including bibliography. Additional 
details may be included in an appendix that should be incorporated at the 
submission time (online appendices are not allowed). However, such appendices 
will be read at the discretion of the program committee. Papers that are longer 
than twelve pages (including bibliography but excluding the appendix) or do not 
cohere with the ACM proceedings style risk rejection without consideration of 
their merits. PODS 2020 specifically encourages the submission of shorter 
papers as well as papers that make use of the full page allowance. The 
submission process will be through the Web at 
https://easychair.org/conferences/?conf=pods2020. Note that PODS does not use 
double-blind reviewing, and therefore PODS submissions should have the names 
and affiliations of authors listed on the paper.

The results of a submitted paper must be unpublished and not submitted 
elsewhere, including the formal proceedings of other symposia or workshops. 
Authors of an accepted paper will be expected to sign copyright release forms, 
and one author is expected to present it at the conference.

** Important Dates **

FIRST SUBMISSION CYCLE:

June 16, 2019: Abstract submission
June 23, 2019: Paper submission
September 1, 2019: First notification
September 29, 2019: Revised submission
November 3, 2019: Final notification

SECOND SUBMISSION CYCLE:

December 15, 2019: Abstract submission
December 22, 2019: Paper submission
March 9, 2020: Final notification

All deadlines end at 11:59pm AoE.


** Organization **

Program Chair:
Yufei Tao (Chinese University of Hong Kong, China)

Program Committee:
Foto Afrati   (National Technical University of Athens, Greece)
Pablo Barcelo (University of Chile, Chile)
Pierre Bourhis(CRIStAL, France)
Vladimir Braverman(John Hopkins University, USA)
Jan Van den Bussche   (University of Hasselt, Belgium)
Graham Cormode (University of Warwick, UK)
Ronald Fagin  (IBM, USA)
Diego Figueira(CNRS, France)
Floris Geerts   (University of Antwerp, Belgium)
Bas Ketsman   (EPFL, Switzerland)
Benny Kimelfeld(Technion - Israel Institute of Technology, 
Israel)
Paris Koutris   (University of Wisconsin-Madison, USA)
Kasper Green Larsen   (Aarhus University, Denmark)
Wim Martens (University of Bayreuth, Germany)
Filip Murlak (University of Warsaw, Poland)
Hung Q. Ngo   (RelationalAI Inc, USA)
Magdalena Ortiz

[UAI] CFP: The 4th Int. Workshop MECN-2019 in Shenyang, Liaoning, China, 21-23 October 2019

2019-06-12 Thread Haozhe Wang

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

The 4th International Workshop on Multi-access Edge Computing and Networking 
(MECN-2019) http://hpcn.ex.ac.uk/mecn2019/

MECN-2019 is to be held in conjunction with the 18th IEEE International 
Conference on Ubiquitous Computing and Communications (IUCC-2019), 21-23 
October 2019, Shenyang, China.


Overview 

The goal of the 4th International Workshop on Multi-access Edge Computing and 
Networking (MECN-2019) is to bring the research community and industry 
practitioners together and foster a cross-disciplinary scientific forum. In 
addition to building a premier publication venue that features high-quality 
research, MECN-2019 provides unique opportunities for researchers from academia 
and industry to interact, share new results, and discuss emerging directions 
focused regarding the field of multi-access computing and networking. 

Important Dates
===
Paper Submission Deadline:  15 July 2019
Authors Notification:   30 August 2019
Camera-Ready Paper Due: 12 September 2019 
Early Registration Due: 12 September 2019 
Conference Date:21-23 October 2019


Topics of interests include, but not limited to

Novel architecture of MEC in 5G
Large-scale mobile edge computing
Data-centric MEC
MEC for the Future Internet
AI at the edge
Machine learning and big data analytics
Green edge computing
Information-Centric Networking (ICN)
Fog computing
Quality-of-Experience (QoE) of MEC applications
Heterogeneous networks
Service-centric communications
MEC for Internet-of-Things
MEC for Virtual Reality and Augmented Reality
Emerging MEC applications and services
Software-Defined Networking (SDN)
Edge resource management
Network modelling
Hybrid cloud computing
Security and privacy in MEC
System prototypes, practical deployments and experimentation


Paper Submission Guideline 
=== 
The workshop seeks for novel, previously unpublished papers. More submission 
details can be found at http://hpcn.ex.ac.uk/mecn2019/. 

All accepted papers are expected to be included in IEEE Xplore and will be 
indexed by Engineering Index (EI).

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[UAI] RTD-A SECS-S/01 Dipartimento di Matematica Genova

2019-06-12 Thread Manuele Leonelli

Dears,

A junior position in Statistics is currently being advertised at the Department 
of Mathematics in the University of Genova.
RTDa is the first step in the academic career ladder in Italy.

Information about the application are available at 
https://unige.it/concorsi/ricercatoritempodetLegge2402010.html (in Italian only)
Deadline for application is July 8 at 12am Italian time.

- The position is suitable for a candidate with at least two year postdoc.
- The department runs two undergraduate courses: SMID (Stats Math and data 
management) and Mathematics, a master course in Mathematics, a PhD program in 
Mathematics and applications with a stream in Data analysis.
- Teaching will be mostly in Italian but for the first year it could be 
arranged to be in English.

The Statistics group is small but dynamic (it runs SMID, teaches on all degrees 
above, supervises PhD  and master students...). The department has good links 
with private companies and public institutions who are financing PhD students 
and supports its teaching activities. Plenty of opportunities for the newcomer!
Related groups in Genova are in Applied mathematics and Machine learning, as 
well as in  Computational commutative algebra (this is for candidates 
interested in Algebraic Statistics!!).

For further information please contact Eva Riccomagno 
riccoma...@dima.unige.it and/or Maria Piera 
Rogantin rogan...@dima.unige.it
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[UAI] [Special Issue] Algorithms for Personalization Techniques and Recommender Systems

2019-06-12 Thread M Elahi

[Algorithms] Special Issue on “Algorithms for Personalization Techniques
and Recommender Systems”
*===*
We are glad to announce the Special Issue dedicated to “Algorithms for
Personalization Techniques and Recommender Systems” in the journal
/Algorithms/,
an EI-, ESCI-, and Scopus-indexed open access journal.

This Special Issue on “Algorithms for Personalization Techniques and
Recommender Systems” aims to form a reference point in this research area,
i.e., the models and algorithms for the (more generic) goal of
“personalization” and the (more specific) goal of “recommendations”. We
invite works that present their latest findings in the state-of-the-art of
the related theory and practice, and to contribute to the advancement of
this research area.

*===*

In particular, we would welcome original and unpublished submissions
related to the following topics:

   - Content-based filtering;
   - Trust and transparency;
   - Large scale recommendation;
   - Multi-stakeholder approaches;
   - Multisignal recommendations;
   - Cross-domain recommendations;
   - Sequential recommender systems;
   - Collaborative filtering techniques;
   - Side-information for recommendation;
   - Adaptive recommendation algorithms;
   - Visually-aware recommender systems;
   - Conversational recommender systems;
   - Algorithms for group recommendation;
   - Semantic-aware recommender systems;
   - Novel similarity-based recommendation;
   - Recommendation based on deep learning;
   - Recommender systems in social networks;
   - Active learning for recommender systems;
   - Transfer learning in recommender systems;
   - Cross-domain algorithms for recommendation;
   - Exploiting user cognition for recommendation;
   - Recommendation based on matrix factorization;
   - Recommendation based on audiovisual signals;
   - Explanations methods for recommender systems;
   - Generic recommendation models and algorithms;
   - Algorithms for using implicit and explicit preferences;
   - Ranking algorithms for personalization and adaptation;
   - Novelty, diversity, or serendipity in recommender systems;
   - Algorithms for context-aware recommender systems (CARS);
   - Scalability and performance measures in recommender systems;
   - Novel applications areas for recommender systems (health, and fashion);
   - Further relevant topics.



===
Further info can be found here:

https://www.mdpi.com/journal/algorithms/special_issues/Algorithms_Recommender_Systems
The submission deadline is 30 November 2019.
*===*

We hope that this is of interest to you.

With kind regards,

Dr. Mehdi Elahi: https://www.linkedin.com/in/mehdielahi

Dr. Marko Tkalcic: http://markotkalcic.com/
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[UAI] Call for Posters - RecSys'19, Sep 16-20, Copenhagen, Denmark

2019-06-12 Thread Mark Graus

* We apologize if you receive multiple copies of this CfP *
* For the online version of this Call, visit:
https://recsys.acm.org/recsys19/call/?utm_source=mailinglist&utm_medium=email&utm_campaign=uai@engr.orst.edu#content-tab-1-5-tab
*

The Late-Breaking Results track of the ACM Recommender Systems conference
(RecSys) offers an opportunity for presenting new, preliminary results and
speculative or innovative work in progress. Accepted contributions for this
track will be presented in a poster session, where the informal setting
encourages presenters and participants to engage in lively discussions about
the presented work. All submissions should convey a scientific result or work
in progress that is not yet ready to be published as a full-length research
paper at a refereed conference, but the preliminary results are already
interesting.

FORMAT AND SUBMISSION
All submissions will be double-blind and peer reviewed. Late-breaking results
must not be under review in any other conference at the time of submission and
must contain novel contributions. This means that submissions must not include
information identifying the authors or their organization. Specifically, do not
include the authors� names and affiliations, and anonymize self-citations,
acknowledgments, and funding sources.

Results should be described in PDF format, in English, formatted according to
the SIGCHI Extended Abstract template (source files, Overleaf template),
viewable on any platform and should be exactly five pages including references.
Submit the paper via EasyChair.

In addition to the five-page submission, accepted authors will be asked to
create a poster to be displayed at the conference in a dedicated poster area,
and present their work during the poster session.

The camera-ready version of the five-page extended abstract will be included in
separate CEUR proceedings.

Note: At least one of the authors of each accepted poster is required to attend
the conference.

IMPORTANT DATES
Submission deadline: July 1st, 2019
Notification: July 22nd, 2019
Camera-ready deadline: August 12th, 2019
Deadlines refer to 23:59 (11:59pm) in the AoE (Anywhere on Earth) time zone.

POSTER AND DEMO CHAIRS
* Marko Tkalcic, Free University of Bozen-Bolzano, Italy
* Sole Pera, Boise State University, USA