The 1st International Joint Conference on Learning & Reasoning (IJCLR 2021), will take place from October 25 to 27 2021 as a fully virtual event:

http://lr2020.iit.demokritos.gr/

The conference is organized by the Institute of Informatics & Telecommunications of the National Center for Scientific Research “Demokritos”, in Athens, Greece. 

After receiving multiple requests the IJCLR organizing team has decided to grant one week's extension for paper submissions.

Final submission deadline: July 7 2021
Submission instructions: http://lr2020.iit.demokritos.gr/papers

Scope
A crucial milestone for taking full advantage of the AI potential is the endowment of algorithms that learn from experience with the ability to consult existing knowledge and reason with what has already been learned. Integrating learning and reasoning constitutes one of the key open questions in AI, and holds the potential of addressing many of the shortcomings of contemporary AI approaches, including the black-box nature and the brittleness of deep learning, and the difficulty to adapt knowledge representation models in the light of new data. Integrating learning and reasoning calls for approaches that combine knowledge representation and machine reasoning techniques with learning algorithms from the fields of neural, statistical and relational learning.

IJCLR 2021 brings together four international conferences & workshops, addressing all aspects of combining knowledge representation & machine reasoning with statistical, neural and symbolic learning:

– The 30th International Conference on Inductive Logic Programming (ILP).
– The 15th International Workshop on Neural-Symbolic Learning & Reasoning (NeSy).
– The 10th International Workshop on Statistical Relational Artificial Intelligence (StarAI).
– The 10th International Workshop on Approaches and Applications of Inductive Programming (AAIP).

IJCLR 2021 aims at bringing together researchers and practitioners working on various aspects of learning & reasoning, via presentation of cutting-edge research on topics of special interest to the participating conferences/workshops. In addition to each of the four events' individual programs, which will be held in parallel, IJCLR aims to promote collaboration and cross-fertilization between different approaches and methodologies to integrating learning & reasoning, via joint keynotes, panel discussions and poster sessions.

Submissions are invited to each one of the conferences/workshops participating at IJCLR 2021 (ILP, NeSy, StarAI, AAIP). Paper formatting, proceedings etc. will adhere to each conference/workshop's tradition.
In addition to the separate tracks for each event there is also a “General Track”, where authors are invited to submit work that is relevant to IJCLR, but it does not necessarily fall within the scope of one of ILP, NeSy, StarAI or AAIP. Also, IJCLR invites relevant, high-quality papers to be presented at the conference, which have been recently published, or accepted for publication, by a first-class conference such as AAAI, IJCAI, NeurIPS, ECML/PKDD, ICML, KDD, ICDM, etc., or journal such as MLJ, DMKD, JMLR etc.

Submission deadlines:
Abstract submission (for ILP): July 5 2021.
Paper submission for ILP, NeSy, AAIP and the general track: July 7 2021.
Paper submission StarAI: September 1 2021.
Late-breaking papers (for ILP): September 10 2021.
Recently published papers track: September 10 2021. 

Information and guidelines regarding paper submissions may be found here: http://lr2020.iit.demokritos.gr/papers/   

The IJCLR steering committee and organization team:

Luc De Raedt, KU Leuven, Belgium
Stephen Muggleton, Imperial College London, UK
Artur d’Avila Garcez, City University of London, UK
Ute Schmid, University of Bamberg, Germany
Cèsar Ferri, Universitat Politènica de València, Spain
Angelika Kimmig, Cardiff University, UK
Sebastijan Dumančić, KU Leuven, Belgium
Jay Pujara, University of Southern California, USA
Nikos Katzouris, NCSR “Demokritos”, Greece
Alexander Artikis, University of Pireaus & NCSR “Demokritos”, Greece

JoVE is a leading peer-reviewed scientific methods video journal, aimed at increasing the visibility and reproducibility of research. The Impact Factor for JoVE (ISSN 1940-087X) is 1.2, and it is indexed in major databases, including PubMed, EMBASE, Scopus and Web of Science.

This Methods Collection would include articles on deep learning based segmentation techniques for 2D and 3D images with topic areas covering autonomous driving, robotic vision and navigation, augmented reality, biomedical image analysis, biometrics, video surveillance and remote sensing. 

You can get more details about this collection or submit an abstract here: https://www.jove.com/methods-collections/1094 

Best Regards,

Anuradha Kar
Researcher, École Normale Supérieure de Lyon, France