[UAI] 1st Int. W. on Education through Advanced Software Engineering and Artificial Intelligence

[Benoît Frénay]

Dear colleagues,


We have the pleasure to invite you to contribute to the 1st 
International Workshop on EducationthroughAdvanced Software 
Engineeringand Artificial Intelligence.  It will be co-located with 
ESEC/FSE '19at Tallin, Estonia on Monday 26 August 2019.



This workshop will be a perfect opportunity to foster interesting 
discussions across complementary communities(software engineering, 
education science, artificial intelligence, machine learning, natural 
language processing, etc.), through the common lens of how advanced 
software tools and techniques


 *

   might be used as a catalyst for a better way to teach various types
   of students;

 *

   might require innovative teaching techniques to make the less
   specialized public aware of their importance and peculiarities.


We strongly encourage contributions focusing on out-of-the-box tools, 
ideas, methodologies, experimentations, etc. pertaining to education 
through and to digital technologies.



We would also be grateful if you could help us advertise the workshop by 
forwarding this CFP to your research collaborators.



Best regards,


Benoît Vanderose - UNamur / PReCISE - benoit.vander...@unamur.be

Benoît Frénay - UNamur / PReCISE - benoit.fre...@unamur.be

Julie Henry - UNamur / PReCISE - julie.he...@unamur.be

Xavier Devroey - TU Delft / SERG - x.d.m.devr...@tudelft.nl


   Call for Papers

In the past years, with the development and widespread of digital 
technologies, everyday life has been profoundly transformed. The general 
public, as well as specialized audiences, have to face an 
ever-increasing amount of knowledge and learn new abilities. The EASEAI 
workshop addresses that challenge by looking at software engineering, 
education, and artificial intelligence research fields to explore how 
these fields can cross-fertilize and benefit from each other. 
Specifically, this workshop brings together researchers, teachers, and 
practitioners who use advanced software engineering tools (such as 
software development tools and methods, productivity tools, software 
inspection and analysis tools, automated testing techniques, etc.) and 
artificial intelligence techniques in the education field as well as 
researchers and teachers in education science who tackle how to improve 
awareness regarding digital technologies through a transgenerational and 
transdisciplinary range of students.



   Topics of Interest

Topics include, but are not limited to:

 o

   New and unexpected usage of established software engineering
   practices in education environments.

 o

   Integration of agile methods principles in education environments.

 o

   Integration of software quality standards and methods dedicated
   to continuous improvement in education environments.

 o

   Application to serious game and gamification in the context of
   education.

 o

   Advances in automated grading of assignments.

 o

   Advances in automated feedback and recommendations to provide
   support to students.

 o

   Visualization of technical and/or scientific information in
   various fields (chemistry, software engineering, physics,
   history, sociology, etc.).

 o

   Efforts related to the improvement of usability of advanced
   tools for non experienced users.

 o

   Dropout prediction in learning environments using machine learning.

 o

   Feedback on case studies using cutting edge techniques, methods,
   and tools applied to educational environments.

 o

   Improvement of computational thinking skills and digital
   literacy through software engineering.

 o

   Integration of software engineering and artificial intelligence
   research into teaching and training.

 o

   Introduction to artificial intelligence and machine learning
   principles for younger audiences.


   Types of Submissions

We invite original papers in the conference format (two columnsACM 
sigconf publication format 
) describing 
positions and new ideas (short papers up to 4 pages) as well as new 
results and reporting on innovative approaches (long papers up to 8 
pages). All accepted papers will be published in the ACM digital 
library, together with the other ESEC/FSE 2019 workshops proceedings. 
The review process is single-blind. Each contribution will be reviewed 
by at least three members of the programme committee.


The workshop also welcomes presentations of previously peer-reviewed 
published papers. We will invite authors to submit a one-page extended 
abstract that will not be included in the proceedings. As previously 
published papers have been already reviewed and accepted, they will not 
be reviewed again for technical content. If needed, the presentations 
propositions will be prioritized, based on the content and structure of 
the sessions.

[UAI] Invitation for the 2019 Summer School on Autonomous Systems (focus on cars, drones), 26-30th August 2019, Aristotle University of Thessaloniki, Thessaloniki, Greece

[ioannakoroni]

Dear Autonomous Systems (cars, drones) engineers, scientists, and
enthusiasts,

 

you are welcomed to register to the 2019 Summer School on Autonomous Systems
having focus on autonomous/self-driving cars and drones:

http://icarus.csd.auth.gr/summer-school-2019/

It will take place on 26-30/8/2019 at the Aristotle University of
Thessaloniki, Thessaloniki, Greece.

 

It consists of two short courses:

a) 'Short course on Deep Learning and Computer Vision for  

Autonomous Systems. Application focus on autonomous/self-driving cars',
26-27th August 2019:

http://icarus.csd.auth.gr/dl-and-cv-for-autonomous-cars-2019/

b) 'Programming short course and workshop on Deep Learning and  Computer
Vision for Drone Imaging', 28-30th August 2019:

http://icarus.csd.auth.gr/drone-school-2019/

 

You can follow the above-mentioned links for registration on either or both
courses.

For questions, please contact: Ioanna Koroni mailto:koroniioa...@csd.auth.gr> >

 

The first course contains 16 lectures proving an in-depth presentation of
computer vision and deep learning problems algorithms with applications on
autonomous/self-driving car vision.

The second programming short course and workshop offers a mix of lectures
and programming workshops (hands-on lab exercises) and aims at developing
registrants' programming skills for Deep Learning and Computer Vision, with
focus on drone planning/control and imaging.

 

Both short courses are organized by Prof. I. Pitas,  IEEE and EURASIP
fellow, Coordination of the European Horizon2020 R&D project Multidrone,
Director of the Artificial Intelligence and Information analysis Lab (AIIA
Lab), Aristotle University of Thessaloniki, Greece, Chair of the IEEE SPS
Autonomous Systems Initiative. He is ranked 249 top Computer Science and
Electronics Scientist internationally by Guide2research (2018).

 

Thessaloniki is a very pleasant city at the end of August, very close to
world-class resorts in Chalkidiki peninsula. Aristotle University of
Thessaloniki is the biggest University in Greece and in SE Europe. It is
highly ranked internationally and its campus is at the city center.

 

Relevant links:

1.  H2020 project Multidrone: https://multidrone.eu/

2.  AIIA Lab: http://www.aiia.csd.auth.gr/

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

 

 

Course descriptions

 

a) 'Short course on Deep Learning and Computer Vision  for Autonomous
Systems. Application focus on autonomous/self-driving cars',  26-27th August
2019.

 

http://icarus.csd.auth.gr/dl-and-cv-for-autonomous-cars-2019/

 

Part A (8 hours), Computer vision topic list

1.   Introduction to autonomous systems imaging

2.   Introduction in computer vision

3.   Image acquisition, camera geometry

4.   Stereo and Multiview imaging

5.   Motion estimation

6.   Mapping and localization

7.Introduction to autonomous car vision

8.Real-time road infrastructure monitoring

 

Part B (8 hours) Deep learning topic list

1.Introduction to neural networks. Perceptron, backpropagation

2.Deep neural networks. Convolutional NNs

3.Parallel GPU and multicore CPU architectures. GPU programming

4.Fast convolution algorithms

5.Deep learning for target detection

6.2D Target tracking and 3D target localization

7.Road scene understanding

8.3D road surface modelling

 

 

b)  'Programming short course and workshop on Deep   Learning and Computer
Vision for Drone Imaging'28-30th August 2019.

 

http://icarus.csd.auth.gr/drone-school-2019/

 

Part A (8 hours), Deep learning topic list

1.  Deep neural networks. Convolutional NNs

2.  Deep learning for target detection

3.  PyTorch basics

4.  Target detection with Pytorch

5.  Object-oriented Tensorflow in Google Colab

 

Part B (8 hours), Computer vision topic list

 

1.  2D target tracking and 3D target localization

2.  Parallel GPU and multicore CPU architectures. GPU
programming

3.  CUDA programming

4.  OpenCV programming for object tracking

5.  Drone mission simulations

 

Part C (8 hours), Drone planning/control topic list

1.  Drone mission planning and control

2.  Gimbal control for target tracking

3.  Drones with ROS and Gazebo simulations

4.  Brain-Drone Interaction (to be confirmed)

 

Sincerely yours

Prof. I. Pitas 

 

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[UAI] CfP: GCAI 2019 (5th Global Conference on Artificial Intelligence)

[Livia Predoiu]

Apologies for cross-posting.
Please forward to interested parties.
***


-
CfP: GCAI 2019 (5th Global Conference on Artificial Intelligence)
-


The 5th Global Conference on Artificial Intelligence (GCAI 2019) will
be held in Bolzano, 17-19 September 2019.  The core objective of GCAI
2019 is to bring together the two main souls of AI, namely symbolic
reasoning and machine/deep learning, applied to both software and
robotic systems.
See https://gcai2019.inf.unibz.it/

GCAI 2019 will be held as part of the Bolzano Rules and Artificial
INtelligence Summit (BRAIN 2019).  With a special focus theme on
"beneficial AI", BRAIN 2019 aims at presenting the latest advancements
in AI and rules and their adoption in IT systems towards improving key
fields such as environment, health and societies.  Submissions that
address this theme within the general topics of GCAI are especially
welcome.
See https://brain2019.inf.unibz.it/


SUBMISSION GUIDELINES

GCAI 2019 accepts submissions of two types:
- Full paper submissions, which must be original and cannot be
submitted simultaneously elsewhere.  Full paper submissions must be at
most 12 pages long, excluding references. Additional support material
may be included in an appendix, which may be considered or ignored by
the program committee.
- Extended abstract submissions, which report on ongoing or
preliminary work, or on work that is central to symbolic reasoning
and/or machine/deep learning applied to both software and robotic
systems, but that has already been submitted or recently published
elsewhere as a full paper (in the case of an already published paper,
the full version has to be referenced explicitly). Extended abstract
submissions must be at most 4 pages long, excluding references.

Both types of submissions must be prepared in LaTeX or Microsoft Word
using the EasyChair templates, and uploaded in PDF format. Submissions
not complying with these guidelines will be rejected at the discretion
of the program committee.

Each submission will be reviewed by at least two reviewers.
Abstracts are due on 14 June 2019, full papers and extended abstracts
are due on 21 June 2019, and decisions will be made by 26 July 2019.

Submissions: via EasyChairhttps://easychair.org/conferences/?conf=gcai2019

Instructions for authors and EasyChair paper templates can be found
athttps://easychair.org/publications/for_authors.


LIST OF TOPICS

Submissions in all areas of artificial intelligence are welcome.
Suggested topics include, but are not limited to:

Foundations
+ Knowledge representation
+ Cognitive modeling
+ Perception
+ Search
+ Reasoning and programming
+ Machine learning
+ Explainable AI
+ Constraints and uncertainty

Architectures
+ Agents and distributed AI
+ Intelligent user interfaces
+ Natural language systems and linguistics
+ Information retrieval
+ Case-based reasoning
+ Hierarchical and deep representations
+ Affective computing

Applications
+ Aviation and aerospace
+ Education and tutoring systems
+ Games and entertainment
+ Human-machine interaction
+ Law and machine ethics
+ Mathematics and the sciences
+ Medicine and healthcare
+ Management and manufacturing
+ World Wide Web
+ Robotics
+ Security

Implications
+ Philosophical foundations
+ Social impact and ethics
+ Evaluation of AI systems
+ AI education


COMMITTEES

Program Chairs
Diego Calvanese (Free University of Bozen-Bolzano, Italy)
Luca Iocchi (Sapienza University of Rome, Italy)

Program Committee
The PC members are currently being invited; we plan to have about 40 PC members.

Steering Committee
Nikolaj Bjorner (Microsoft Research, USA)
Adel Bouhoula (University of Carthage, Tunisia)
Laura Kovács (Chalmers University, Sweden)
Sriram Rajamani (Microsoft Research, India)
Geoff Sutcliffe (University of Miami, USA)
Andrei Voronkov (University of Manchester, UK)

Organizing Committee of GCAI and BRAIN
2019https://brain2019.inf.unibz.it/?p=organization


PUBLICATION

GCAI 2019 proceedings will be published in the EasyChair EPiC series
in Computing.  Proceedings of the previous GCAI conferences are
available online:

Georg Gottlob, Geoff Sutcliffe and Andrei Voronkov (editors).
GCAI 2015. Global Conference on Artificial Intelligence (EPiC Series
in Computing, Volume
36)https://easychair.org/publications/volume/GCAI_2015

Christoph Benzmüller, Geoff Sutcliffe and Raul Rojas (editors).
GCAI 2016. 2nd Global Conference on Artificial Intelligence (EPiC
Series in Computing, Volume
41)https://easychair.org/publications/volume/GCAI_2016

Christoph Benzmüller, Christine Lisetti and Martin Theobald (editors).
GCAI 2017. 3rd Global Conference on Artificial Intelligence (EPiC
Series in Computing, Volume
50)https://easychair.org/publications/volume/GCAI_2017

Daniel Lee, Alexander Steen and Toby Walsh (editors).
GCAI-2018. 4th Glob

[UAI] FashionXRecsys Workshop - Recsys

[Shatha Jaradat]

13th ACM Conference on Recommender Systems
FashionXRecsys - Workshop on Recommender Systems in Fashion
Copenhagen, Denmark, 19th - 20th September 2019
https://zalandoresearch.github.io/fashionxrecsys/



We are pleased to invite you to participate in the 1st full-day workshop on 
Recommender Systems in Fashion (FashionXRecsys) that will be held on September 
19th -20th, 2019 in Copenhagan, Denmark.

This workshop aims to bring together researchers and practitioners in the 
fashion, recommendations and machine learning domains to discuss open problems 
in the aforementioned areas. This involves addressing interdisciplinary 
problems with all of the challenges it entails. Within this workshop we aim to 
start the conversation among professionals in the fashion and e-commerce 
industries and recommender systems scientists, and create a new space for 
collaboration between these communities necessary for tackling these deep 
problems. To provide rich opportunities to share opinions and experience in 
such an emerging field, we will accept paper submissions on established and 
novel ideas, as well as new interactive participation formats.

Suggested topics for submissions are (but not limited to):

  *   Computer vision in Fashion (image classification, semantic segmentation, 
object detection.)
  *   Deep learning in recommendation systems for Fashion.
  *   Learning and application of fashion style (personalized style, implicit 
and explicit preferences, budget, social behaviour, etc.)
  *   Size and Fit recommendations through mining customers implicit and 
explicit size and fit preferences.
  *   Modelling articles and brands size and fit similarity.
  *   Usage of ontologies and article metadata in fashion and retail (NLP, 
social mining, search.)
  *   Addressing cold-start problem both for items and users in fashion 
recommendation.
  *   Knowledge transfer in multi-domain fashion recommendation systems.
  *   Hybrid recommendations on customers' history and on-line behavior.
  *   Multi- or Cross- domain recommendations (social media and online shops)
  *   Privacy preserving techniques for customer's preferences tracing.
  *   Understanding social and psychological factors and impacts of influence 
on users' fashion choices (such as Instagram, influencers, etc.)

Paper submission deadline: July 1st, 2019
Reviewer deadline: July 19th, 2019
Author notification: July 29th, 2019
Camera-ready version deadline: August 27th, 2019
Workshop: September 19th or 20th, 2019

All deadlines refer to 23:59 (11:59pm) in the AoE (Anywhere on Earth) time zone.

The peer review process is double-blind (i.e. anonymised). All accepted papers 
will be available through the program website which will be linked from the 
official RecSys19 site. Moreover, selected authors will be invited to 
contribute an extended version of their paper to be published in a Journal. For 
more information on paper submission instructions, please check the website: 
https://zalandoresearch.github.io/fashionxrecsys/?

If you have any questions, please contact us on: recsysxfash...@gmail.com.

Kindest Regards,
FashionXRecsys Organizers??

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[UAI] ANAC 2019 Human-Agent Deadline Extended to July 10th (IJCAI Special Competition)

[IAGO]

Hello all!

Apologies for cross-posting.  Just wanted to let you know that the deadlines 
for the Automated Negotiating Agents Competitions at IJCAI have been extended!  
There is still time to design an agent and submit!

For information about IAGO and the Human-Agent negotiating league, please visit:

IAGO Website →   
https://myiago.com/IAGO

Or, for general information about ANAC, please visit:

ANAC 2019 Website →  
http://web.tuat.ac.jp/~katfuji/ANAC2019/

We look forward to your submission and your attendance at our special session 
at IJCAI 2019.

Best,

Johnathan Mell
ANAC Demonstrations Chair
University of Southern California

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[UAI] Open position: Computational Scientist (m/f/d) - Monheim (Germany)

[Erick Antezana]

(apologies for cross-posting)

Dear colleague,

We are looking for a 'computational scientist' with the following profile:

* Scientific master degree in bioinformatics or similar
* Experience in building and maintaining (bio-)ontologies as well as in
automatizing ontology maintenance tasks (e.g. using scripts)
* Experience/exposure with master data management (data stewardship and
governance) and with biological data integration as well as algorithms
design and implementation
* Experience in semantic web technologies and standards, e.g. with OBO,
RDF, OWL, SHACL, SPARQL, SKOS
* Familiar with graph-based systems (e.g. triple stores)
* Good understanding of ontology reasoning services and ontology editing
tools as well as of public resources as gene ontology, plant ontology,
traits ontology
* High ability to solve problems and to structure and simplify complex
tasks and ability to contribute in an international and dynamic research
and development team
* Fluent in English, both written and spoken

More details:

https://jobs.bayer.com/job/Monheim-Computational-Scientist
-%28mfd%29-Nort/528212801/?locale=nl_NL

If you have any questions, don't hesitate in contacting me.

Best regards,
Erick Antezana
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[UAI] Funded PhD Position in Implementing Machine Ethics

[Vivek Nallur]

Applications are invited for a funded PhD in the area of machine ethics, in
the School of Computer Science, at University College Dublin (UCD).

Description of Research

There are many attempts being made to create AI with ethics embedded in
them, however there is no consensus on what mechanism would be the most
appropriate (evolutionary programming, machine learning, deep learning,
multi-agent systems, game theory, bayesian networks, etc.). There is also
no consensus on the type of ethics that can/should be embedded into a
machine. The PhD candidate would investigate techniques that can be used to
reliably create AI that can be trusted to act in an ethical manner.

Note: The PhD expects an interdisciplinary focus. Hence, the candidate is
expected to be conversant with computer science techniques, and willing to
engage with philosophy/law/social sciences.

Fees/Financials

The PhD position comes with a tax-free scholarship of 16,000€/year, plus
payment of Ph.D. fees, and an allowance of 1,000€ for a PC. The
Scholarships will run for up to 4 years, conditional to satisfactory
progress, to be evaluated before the end of year 2.

Deadline for Application: 16-June-2019

Conditions:

As part of the PhD funding, the student will normally be expected to serve
as Teaching Assistant in the BDIC programme, in Beijing, China.
Alternatively, in agreement with the supervisor, the student may serve as a
Research Assistant/Teaching Assistant within the School of Computer Science
for up to 6 hours/week during teaching terms.

Requirements

Candidates must have a first class or upper second-class honours primary
degree, or equivalent.

Contact:

Send an email along with the following attachments to vivek.nal...@ucd.ie

   1.

   A research statement (~1000 words) about the technique you wish to
   experiment with, and the philosophical theory being targetted
   2.

   CV
   3.

   Transcript of your highest educational degree


-- 
Dr. Vivek Nallur
Assistant Professor
Phone +353 (1)716 2475
Computer Science, Room B2.03
University College Dublin
Belfield, Dublin - 4,
Ireland
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[UAI] AI Summer School in Singapore 2019

[MA Su Su]

Dear Madam/Sir,

 

We (AI Singapore) are co-organising a summer school on AI (details below and 
attached), which may be of interest to your chapter. We will be offering some 
travel grants as well.

 

Hope you can share the info with the mailing list.

 

Thank you and best regards,

AI Singapore

 

 ** Please forward to anyone who might be interested **

 

--

 

CALL FOR PARTICIPATION

 

AI Summer School 2019

 

22-26 July 2019

Singapore

 

https://aisummerschool.aisingapore.org/

 

 

General enquiries: aisummersch...@aisingapore.org 
 

 

 
--

Applications are open for the AI Summer School to be held in Singapore 22-26 
July 2019. It is jointly organized by AI Singapore, National University of 
Singapore’s School of Computing (NUS), Singapore Data Science Consortium 
(SDSC), Singapore University of Technology and Design (SUTD), Institute for 
Infocomm Research-A*STAR (I2R) and Singapore Management University (SMU). It is 
supported by the Elsevier Artificial Intelligence Journal (AIJ).

 

 

THEMES

 

Over the course of five days, participants will be introduced to the 
fundamentals of AI as well as advanced concepts such as Machine Learning, 
Computer Vision, Data Science, Natural Language Processing (NLP), Privacy, 
Multi-agent Systems, Reinforcement Learning and Algorithmic Game Theory.

 

Please check the website for updates on the detailed technical program.

 

 

OTHER HIGHLIGHTS

 

•   Conducted by international and local AI and Machine Learning 
lecturers from MIT, Oxford, NUS, NTU, SMU, SUTD, A*STAR

•   Format of the Summer School - Lectures, Software Tutorials, 
Hands-on Workshops by Industry, Panel Discussion, Poster Sessions

•   PLUS….Outing and group dinner for all participants

 

 

APPLICATION AND REGISTRATION

 

 

Application details can be found on the AI Summer School website 
(https://aisummerschool.aisingapore.org 
 ). Applications will be processed as 
received.

Spaces are limited so please send your application as soon as possible. 
Applications are due by 1 June2019.

 

General enquiries can be addressed to   
aisummersch...@aisingapore.org

 

 

WHO CAN PARTICIPATE?

 

*   Graduate students (local/overseas universities)
*   Undergraduate with aspiration to do AI-research
*   Researchers in academia and industry

 

NOTE: The Summer School will be conducted in English.

 

 

 ORGANIZING COMMITTEE

 

Dr. Stefan Winkler (AI Singapore)

Dr. Bryan Low (AI Singapore)

Dr.  Tan Kian Lee (Singapore Data Science Consortium)

Dr. David Hsu (National University of Singapore)

Dr. Bo An (Nanyang Technological University)

Dr. Lu Wei (Singapore University of Technology and Design)

Dr. Vijay Ramaseshan Chandrasekhar (Institute for Infocomm Research A*STAR 
(I2R))

Dr. Lee Wee Sun (National University of Singapore)

Dr. Pradeep Reddy Varakantham (Singapore Management University)

 
--

 


-- 
AI Singapore
innovation 4.0
3 Research Link #05-05 
Singapore 117602 

www.aisingapore.org  | 
www.facebook.com/groups/aisingapore 
 | 
www.linkedin.com/company/aisingapore 






AI Singapore is a 
national programme supported by the National Research Foundation and hosted 
by the National University of Singapore (Company Registration No: 
200604346E).
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[UAI] Call for Contributions: SISAP 2019 Doctoral Symposium (Deadline: June 16)

[Martin Aumüller]

First Doctoral Symposium on Similarity Search and Applications
Co-located with the main SISAP 2019 conference (October 2- 4, 2019, Newark NJ, 
USA)

Paper submission deadline: June 16th, 2019 (anywhere on Earth)
Website: http://sisap.org/2019/DS.html

SISAP 2019 Doctoral Symposium provides a forum for PhD students to present 
their research ideas and receive feedback from senior members of the research 
community. The Symposium fosters a collaborative environment, encouraging 
constructive discussions and sharing of ideas. We expect a number of the 
members of the Program Committee to attend the symposium.

We welcome submissions from active PhD students devoted to all issues 
surrounding the theory, design, analysis, practice, and application of 
content-based and feature-based similarity search who have not yet received 
their PhD degrees. You will find a detailed list of possible topics of interest 
on the SISAP 2019 conference website: http://sisap.org/2019/callforpapers.html

Submissions from students who are in the early stages of their research should 
provide a clear statement of the problem being addressed, and a clear outline 
of the planned methodology. Submissions from students who are farther into 
their research should clearly state the contributions made so far, and the work 
lying ahead.

Important Dates

Paper submission deadline: June 16th, 2019 (anywhere on Earth)
Notification of acceptance: July 15th, 2019
Camera-ready due: July 31st, 2019

Submission Guidelines
Submissions must be single-author, and the name of the supervisor must be 
clearly marked ("supervised by") on the paper, under the author’s name. The 
paper should be no longer than 5 pages and should be formatted with the same 
rules as SISAP papers. You will find these rules summarized on the SISAP 2019 
conference website: Submission guidelines

Authors should submit their papers in PDF format through the EasyChair 
conference management system.

The manuscripts should contain the statement of the problem being addressed, an 
outline of the planned methodology, contributions made so far, and the work 
lying ahead.

It is fine if specific portions of the thesis work have been published or 
submitted for publication; the page limit is 5 pages, so this does not 
constitute a duplicate submission to SISAP.

The proceedings of SISAP 2019 Doctoral Symposium will be published by Springer 
as a volume in the Lecture Notes in Computer Science (LNCS) series.

Review Process
The review and decision of acceptance will balance many factors. This includes 
the topic and the quality of your proposal, and where you are within your 
doctoral education program. It also includes external factors, such as ensuring 
that as a group the accepted candidates exhibit a diversity of backgrounds and 
topics.

Candidates who have a clearly developed idea, who are formally considered by 
their institution to be working on their dissertation, and who still have time 
to be influenced by participation in the PhD Workshop will receive the 
strongest consideration.

Program Chair

Ilaria Bartolini, University of Bologna
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[UAI] Fourteenth Madrid UPM Advanced Statistics and Data Mining Summer School (June 24th - July 5th, 2019) - Early registration deadline

[asdm]

Dear colleagues,

We would like to remind you that early registration for the Madrid UPM Advanced 
Statistics and Data Mining summer school finishes on June 2nd (included). 

The summer school will be held in Boadilla del Monte, near Madrid, from June 
24th to July 5th. This year's edition comprises 12 week-long courses (15 
lecture hours each), given during two weeks (six courses each week). Attendees 
may register in each course independently. No restrictions, besides those 
imposed by timetables, apply on the number or choice of courses.

Our summer school has been an INOMICS world top ten summer schools in 
mathematics and statistics from 2015 to 2017. See the 2017 ranking at 
http://bit.ly/2oR00GI

Early registration is *OPEN*. Extended information on course programmes, price, 
venue, accommodation and transport is available at the school's website:

http://www.dia.fi.upm.es/ASDM

There is a 25% discount for members of Spanish AEPIA and SEIO societies.  

Please, forward this information to your colleagues, students, and whoever you 
think may find it interesting.

Best regards,

Pedro Larrañaga, Concha Bielza, Bojan Mihaljević and Santiago Gil Begué.
-- School coordinators.

*** List of courses and brief description ***

* Week 1 (June 24th - June 28th, 2019) *

1st session: 9:45-12:45
Course 1: Bayesian Networks (15 h)
  Basics of Bayesian networks. Inference in Bayesian networks. Learning 
Bayesian networks from data. Real applications. Practical demonstration: GeNIe, 
Weka, Bayesia, R.

Course 2: Time Series(15 h)
  Basic concepts in time series. Linear models for time series. Time series 
clustering. Practical demonstration: R.

2nd session: 13:45-16:45
Course 3: Supervised Pattern Recognition (15 h)
  Introduction. Assessing the performance of supervised classification 
algorithms. Preprocessing. Classification techniques. Combining multiple 
classifiers. Comparing supervised classification algorithms. Practical 
demonstration: Weka. 

Course 4: Statistical Inference (15 h)
  Introduction. Some basic statistical test. Multiple testing. Introduction 
to bootstrap methods. Introduction to Robust Statistics. Practical 
demonstration: R.  

3rd session: 17:00 - 20:00
Course 5: Neural Networks and Deep Learning (15 h)
  Introduction. Learning algorithms. Learning and Optimization. Deep 
Networks. Practical session: Jupyter notebooks in Python Anaconda with keras 
and tensorflow.

Course 6: Big Data with Apache Spark (15 h)
  Introduction. Spark framework and APIs. Data processing with Spark. Spark 
streaming. Machine learning with Spark MLlib. 


* Week 2 (July 1st - July 5th, 2019) *

1st session: 9:45-12:45 
Course 7: Bayesian Inference (15 h)
  Introduction: Bayesian basics. Conjugate models. MCMC and other 
simulation methods. Regression and Hierarchical models. Model selection. 
Practical demonstration: R and WinBugs.

Course 8: Unsupervised Pattern Recognition (15 h)
  Introduction to clustering. Data exploration and preparation. 
Prototype-based clustering. Density-based clustering. Graph-based clustering. 
Cluster evaluation. Miscellanea. Conclusions and final advise. Practical 
session: R.

2nd session: 13:45-16:45
Course 9: Text Mining (15 h)
  Information Retrieval 101. Unsupervised Text Processing. Representation 
Learning. Information Extraction. Natural Language Understanding. Practical 
session: Python, with Jupyter notebooks.

Course 10: Feature Subset Selection (15 h)
  Introduction. Filter approaches. Embedded methods. Wrapper methods. 
Additional topics. Practical session: R and Weka.  
  
3rd session: 17:00-20:00
Course 11: Support Vector Machines and Regularized Learning (15 h)
  Introduction. SVM models. SVM learning algorithms. Regularized learning. 
Convex optimization with proximal methods. Practical session: Python Anaconda 
with scikit-learn.
  
Course 12: Hidden Markov Models (15 h)
  Introduction. Discrete Hidden Markov Models. Basic algorithms for Hidden 
Markov Models. Semicontinuous Hidden Markov Models. Continuous Hidden Markov 
Models. Unit selection and clustering. Speaker and Environment Adaptation for 
HMMs. Other applications of HMMs. Practical session: HTK.


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[UAI] 2nd CFP - IWACIII 2019 in Chengdu, the Panda City in China

[Koichi Yamada]

[Apologies for multiple postings]

The paper submission deadline is approaching.
Do not forget submitting papers.

Regards,


 IWACIII 2019 in Chengdu, the Panda City in China

The 6th International Workshop on Advanced Computational Intelligence and 
Intelligent Informatics

November 1-5, 2019
http://iimea.org/#/IWACIII2019
=

IMPORTANT DATES

Paper Submission Deadline --May 30th, 2019
Notification of Acceptance  July 15, 2019
Final Camera-Ready Paper Due  August 20, 2019

Deadline of Organized Session Proposal: May 30th, 2019
Paper Submission Deadline for Organized Session: May 30th, 2019

Deadline for Early Bird Registration --- August 20, 2019
Conference Period --- November 1-5, 2019

http://iimea.org/#/IWACIII2019
=

Welcome to Chengdu for IWACIII 2019！

The 6th International Workshop on Advanced Computational Intelligence and 
Intelligent Informatics (IWACIII2019) will be held at the Main Conference Hall, 
University of Electronic Science and Technology of China (UESTC), Chengdu, 
China, 
during November 1-5, 2019, in cooperation with “the State Key Laboratory of 
Intelligent Control and Decision of Complex Systems” and “the School of 
Automation Engineering” of UESTC. The IWACIII2019 is an international 
conference 
that provides a forum for scientists and engineers over the world to present 
their own 
theoretical results and techniques in the field of computational intelligence 
and 
intelligent informatics. The conference proceedings have been cited by EI 
(with the EI Compendex number IWACIII2009: 20112914164923, 
IWACIII2011: 20130916070693, IWACIII2013: 20145200355862, 
IWACIII2015: 20163202697347, IWACIII2017: 20175004530943), 
selected excellent papers will be published in the special issue of JACIII 
(Journal of Advanced Computational Intelligence and Intelligent Informatics, 
ESCI/SCOPUS/EI indexed). Taking this opportunity, we sincerely welcome our 
colleagues 
worldwide to join us for this workshop.

http://iimea.org/#/IWACIII2019

—
Koichi Yamada
Nagaoka Univ. of Tech.


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