Journal Track

IJCLR’s journal track, the Special Issue on Learning and Reasoning supported by the Machine Learning Journal (MLJ), has been accepting paper submissions on regular cut-off dates since February 2020.

Visit the Important Dates page for the Journal Track cut-off dates.

Journal track papers are published online by the MLJ upon acceptance and authors of accepted papers are invited to present their work at IJCLR.

Invited Topics

Submissions are solicited on all aspects of Learning and Reasoning and topics where machine learning is combined with machine reasoning or knowledge representation.

Authors are invited to submit novel, high-quality work that has neither appeared in, nor is under consideration for publication by other journals or conferences.

Topics of interest for the Journal Track include, but are not limited to:

• Theory & foundations of logical & relational learning.
• Learning in various logical representations and formalisms, such as logic programming & answer set programming, first-order & higher-order logic, description logic & ontologies.
• Statistical Relational AI, including structure/parameter learning for probabilistic logic languages, relational probabilistic graphical models, kernel-based methods, neural-symbolic learning.
• Systems and techniques that integrate neural, statistical & symbolic learning.
• Systems and techniques addressing aspects of integrating learning, reasoning & optimization.
• Knowledge representation and reasoning in deep neural networks.
• Symbolic knowledge extraction from neural and statistical learning models.
• Neural-symbolic cognitive models.
• Techniques that foster explainability & trustworthiness of AI models, including combinations of machine learning with constraints & satisfiability, explainable AI frameworks and reasoning about the behaviour of machine learning models.
• Inductive methods for program synthesis.
• Example-driven programming.
• Combining logic and functional program induction.
• Meta-interpretative learning & predicate invention.
• Scaling-up logical & relational learning: parallel & distributed learning techniques, online learning and learning structured representations from data streams.
• Human-Like Computing, including Cognitive and AI aspects of perception, action and learning

Submission guidelines (Journal track)

Manuscripts for the Jounral Track must be submitted to the Machine Learning Journal Editorial Manager.

Articles should preferably be no longer than 20 pages. Submissions exceeding this length will not be given priority during reviews and will be under review for a longer period but will still be considered for the special track.

The editorial team will be aiming for a turn-around time of 10-12 weeks for most submissions.

Papers must be prepared in accordance to the Journal guidelines.

A full range of general questions about submissions to Springer journals can be found on Springer’s website.

An article is submitted to this special issue by choosing “S.I. Learning and Reasoning 2022” as the article type.

All papers will be reviewed following standard reviewing procedures for Machine Learning.

Journal Special Issue Guest Editors:

Alireza Tamaddoni-Nezhad, University of Surrey, UK (Lead Guest Editor)
Alan Bundy, University of Edinburgh, UK
Luc De Raedt, KU Leuven, Belgium
Artur d’Avila Garcez, City University of London, UK
Sebastijan Dumančić, Delft University of Technology, the Netherlads
Cèsar Ferri, Universitat Politènica de València, Spain
Pascal Hitzler, Kansas State University, USA
Nikos Katzouris, National Center for Scientific Research “Demokritos”, Greece
Denis Mareschal, Birkbeck College, University of London, UK
Stephen Muggleton, Imperial College London, UK
Ute Schmid, University of Bamberg, Germany

Workshop Tracks

ILP, NeSy, AAIP and HLC will be soliciting paper submissions on relevant topics. All papers accepted by each conference/workshop will be presented at IJCLR.

Follow the links to each conference on the main page of this website for Workshop Track submission information.

Submission to all IJCLR Conference tracks is made online via Easy Chair.

General Track

In addition to the separate tracks for each event, IJCLR features a “General Track”, where authors are invited to submit work that is relevant to IJCLR, but does not necessarily fall within the scope of one of ILP, NeSy, AAIP or HLC.

Visit the Important Dates page for the General Track cut-off dates.

Papers accepted to the General Track will be presented at IJCLR.

Papers submitted to the General Track should be up to 15 pages long, including references, in Springer LNCS format.

Submission to the IJCLR Conference General Track is made online via Easy Chair.

Recently Published Papers Track

IJCLR invites high-quality papers relevant to the scope of 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 journals such as MLJ, DMKD, JMLR etc.

Visit the Important Dates page for the Recently Published Papers Track cut-off dates.

Papers submitted to the “Recently Published Papers Track” will be accepted on the grounds of relevance and quality of the original publication venue.

Accepted papers will be presented at IJCLR.

Submission guidelines (Recently Published Papers track)

An article is submitted to the Recently Published Papers Track by choosing “Recently Published Papers Track” as the article type.

Authors should submit the abstract and the PDF file of the original submission, specifying in the abstract the original venue where the paper was accepted in addition to the acceptance date.