Programme

List of accepted papers can be found here.

Detailed programme sessions schedule can be found here.

IJCLR 2025 Programme Outline

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Please note that the times in the tables are in 24-hour format.

Day 1 (Thursday 11th September 2025)
08:00–09:00 11/09/25	Conference Registration
09:00–10:30 11/09/25	Tutorial 1: An Introduction to Abductive Learning [Wang-Zhou Dai]
10:30–10:45 11/09/25	Tea/Coffee & Poster Session
10:45–12:15 11/09/25	Tutorials 1 (cont.)
12:15–13:15 11/09/25	Lunch
13:15–15:45 11/09/25	Tutorials 2: Inductive Logic Programming: An Introduction and Recent Advances [Andrew Cropper]
15:45–16:00 11/09/25	Tea/Coffee & Poster Session
16:00–17:30 11/09/25	Tutorials 2 (cont.)
17:30–19:30 11/09/25	Welcome Reception

Day 2 (Friday 12th September 2025)
09:00–09:15 12/09/25	IJCLR 2025 Welcome Address – Stephen Muggleton
09:15–10:00 12/09/25	Invited Talk – Murray Shanahan
10:00–11:00 12/09/25	Journal Paper Session 1
11:00–11:15 12/09/25	Tea/Coffee & Poster Session
11:15–12:15 12/09/25	Main Track Presentations - Session 1
12:15–13:15 12/09/25	Lunch
13:15–14:15 12/09/25	Main Track Presentations - Session 2
14:15–15:00 12/09/25	Late-breaking, Poster and Demo Presentations - Session 1
15:00–15:15 12/09/25	Tea/Coffee & Poster Session
15:15–16:00 12/09/25	Recently Published Presentations - Session 1
16:00–16:45 12/09/25	Invited Talk – Stuart Russell
16:45–17:15 12/09/25	Discussion Panel
17:30–19:30 12/09/25	Social Dinner

Day 3 (Saturday 13th September 2025)
09:00–09:45 13/09/25	Invited Talk – Wang-Zhou Dai
09:45–10:45 13/09/25	Journal Paper Session 2
10:45–11:00 13/09/25	Tea/Coffee & Poster Session
11:00–12:00 13/09/25	Main Track Presentations - Session 3
12:00–13:00 13/09/25	Lunch
13:00–14:00 13/09/25	Main Track Presentations - Session 4
14:00–14:45 13/09/25	Late-breaking, Poster and Demo Presentations - Session 2
14:45–15:00 13/09/25	Tea/Coffee & Poster Session
15:00–15:45 13/09/25	Late-breaking, Poster and Demo Presentations - Session 3
15:45–16:30 13/09/25	Recently Published Presentations - Session 2
17:00–19:00 13/09/25	Social Walk

Day 4 (Sunday 14th September 2025)
09:00–09:45 14/09/25	Invited Talk – Andrew Cropper
09:45–10:45 14/09/25	Journal Paper Session 3
10:45–11:00 14/09/25	Tea/Coffee & Poster Session
11:00–12:00 14/09/25	Main Track Presentations - Session 5
12:00–13:00 14/09/25	Lunch
13:00–14:20 14/09/25	Main Track Presentations - Session 6
14:20–14:50 14/09/25	Late-breaking, Poster and Demo Presentations - Session 4
14:50–15:05 14/09/25	Tea/Coffee & Poster Session
15:45–17:00 14/09/25	Closing Session and Community Meeting

Days

IJCLR 2025 Sessions

Day 1 (Thursday 11th September)

08:00 - 09:00 Conference Registration & Arrival Refreshments
Location: LT Lower Concourse

09:00 - 10:30 Tutorials 1: An Introduction to Abductive Learning [Recording]
Wang-Zhou Dai
Location: Lecture Theatre D

10:30 – 10:45 Tea/Coffee & Poster presentation
Location: LT Lower Concourse

10:45 - 12:15 Tutorial 1 (cont.) [Recording]
Wang-Zhou Dai
Location: Lecture Theatre D

12:15 – 13:15 Lunch
Location: LT Upper Concourse

13:15- 15:45 Tutorial 2: Inductive Logic Programming: An Introduction and Recent Advances Andrew Cropper Location: Lecture Theatre D

15:45- 16:00 Tea/Coffee & Poster presentation
Location: LT Lower Concourse

16:00- 17:30 Tutorial 2 (cont.)
Andrew Cropper
Location: Lecture Theatre D

17:30 - 19:30 Welcome Reception
Location: LT Lower Concourse

Day 2 (Friday 12th September 2025)

08:00 - 09:00 Refreshments

09:00 - 09:15 Welcome Address (Stephen Muggleton)

09:15 - 10:00 Invited Talk (Murray Shanahan) [Recording]

Location: Lecture Theatre D
Chair: Stephen Muggleton

10:00 - 11:00: Journal Paper Session 1 [Recording]
Location: Lecture Theatre D
Chair: Alireza Tamaddoni-Nezhad

10:00 - 10:30
Lun Ai, Stephen Muggleton, Shi-Shun Liang, Geoff Baldwin
Boolean matrix logic programming for active learning of gene functions in genome-scale metabolic network models

10:30 - 11:00
Lucie Dvořáčková, Marcin Joachimia,; Michal Černý, Adriana Kubecová Vilém Sklenák, Tomas Kliegr
Explaining word embeddings with perfect fidelity: A case study in predicting research impact

10:00 - 11:00: Journal Paper Session 1 [Recording] Location: Lecture Theatre D Chair: Alireza Tamaddoni-Nezhad
10:00 - 10:30 Lun Ai, Stephen Muggleton, Shi-Shun Liang, Geoff Baldwin Boolean matrix logic programming for active learning of gene functions in genome-scale metabolic network models 10:30 - 11:00 Lucie Dvořáčková, Marcin Joachimia,; Michal Černý, Adriana Kubecová Vilém Sklenák, Tomas Kliegr Explaining word embeddings with perfect fidelity: A case study in predicting research impact

11:00 – 11:15 Tea/Coffee & Poster presentation
Location: LT Lower Concourse

11:15 - 12:15 Main Track Presentations - Session 1 (LLMs & Logical Learning) [Recording] Location: Lecture Theatre D Chair: Stefan Kramer
11:15 - 11:35 Yun-Ze Li; Wang-Zhou Dai; Hao Meng; Xia Nu; Yi-Fei Xiao; Zhe-Li Hu; Yu-Cong He Enhancing LLM-Base Knowledge Retrieval by Automatic Workflow Induction 11:35 - 11:55 Felix Vossel; Till Mossakowski; Björn Gehrke Advancing Natural Language formalization to First Order Logic with Fine-tuned LLMs 11:55 - 12:15 Shraddha Surana; Ashwin Srinivasan; Michael Bain Structured Program Synthesis using LLMs: Results and Insights from the IPARC Challenge

11:15 - 12:15 Main Track Presentations - Session 1 (LLMs & Logical Learning) [Recording]
Location: Lecture Theatre D
Chair: Stefan Kramer

11:15 - 11:35
Yun-Ze Li; Wang-Zhou Dai; Hao Meng; Xia Nu; Yi-Fei Xiao; Zhe-Li Hu; Yu-Cong He
Enhancing LLM-Base Knowledge Retrieval by Automatic Workflow Induction

11:35 - 11:55
Felix Vossel; Till Mossakowski; Björn Gehrke
Advancing Natural Language formalization to First Order Logic with Fine-tuned LLMs

11:55 - 12:15
Shraddha Surana; Ashwin Srinivasan; Michael Bain
Structured Program Synthesis using LLMs: Results and Insights from the IPARC Challenge

12:15 – 13:15 Lunch
Location: LT Upper Concourse

13:15 - 14:15 Main Track Presentations - Session 2 (Advances in ILP) [Recording] Location: Lecture Theatre D Chair: Stefan Kramer
13:15 - 13:35 Stephen Muggleton ReDuce: Linear-time Inductive Compression using Greedy Folding 13:35 - 13:55 Rojina Panta; Vedant Khandelwal; Celeste Veronese; Amit Sheth; Daniele Meli; Forest Agostinelli Inductive logic programming for heuristic search 13:55 - 14:15 Lun Ai Boolean Matrix Logic Programming on the GPU

14:15 - 15:00 Late-breaking, Poster and Demo Presentations - Session 1 [Recording] Location: Lecture Theatre D Chair: Gerson Zaverucha
14:15 - 14:30 Stephen Roth; Lennart Baur; Derian Boer; Stefan Kramer Enhancing Symbolic Machine Learning by Subsymbolic Representations 14:30 - 14:45 Tony Ribeiro; Yin Jun Phua; Tuan Nguyen; Katsumi Inoue Transformers Can Admit Mistakes and Backtrack 14:45 - 15:00 Zahra Chaghazardi, Saber Fallah, Alireza Tamaddoni-Nezhad Neurosymbolic Approaches for Robust and Explainable Traffic Sign Recognition in Autonomous Driving

14:15 - 15:00 Late-breaking, Poster and Demo Presentations - Session 1 [Recording]
Location: Lecture Theatre D
Chair: Gerson Zaverucha

14:15 - 14:30
Stephen Roth; Lennart Baur; Derian Boer; Stefan Kramer
Enhancing Symbolic Machine Learning by Subsymbolic Representations

14:30 - 14:45
Tony Ribeiro; Yin Jun Phua; Tuan Nguyen; Katsumi Inoue
Transformers Can Admit Mistakes and Backtrack

14:45 - 15:00
Zahra Chaghazardi, Saber Fallah, Alireza Tamaddoni-Nezhad
Neurosymbolic Approaches for Robust and Explainable Traffic Sign Recognition in Autonomous Driving

15:00 – 15:15 Tea/Coffee & Poster presentation
Location: LT Lower Concourse

15:15 - 16:00 Recently Published Presentations - Session 1 [Recording]
Location: Lecture Theatre D
Chair: Gerson Zaverucha

15:15 - 15:30
Pat Langley
Learning Hierarchical Task Knowledge for Planning

15:30 - 15:45
Felix Weitkämper
The generalised distribution semantics and projective families of distributions

15:45 - 16:00
Vojtěch Balek;Lukáš Sýkora;Vilém Sklenák;Tomas Kliegr
LLM-based feature generation from text for interpretable machine learning

15:15 - 16:00 Recently Published Presentations - Session 1 [Recording] Location: Lecture Theatre D Chair: Gerson Zaverucha
15:15 - 15:30 Pat Langley Learning Hierarchical Task Knowledge for Planning 15:30 - 15:45 Felix Weitkämper The generalised distribution semantics and projective families of distributions 15:45 - 16:00 Vojtěch Balek;Lukáš Sýkora;Vilém Sklenák;Tomas Kliegr LLM-based feature generation from text for interpretable machine learning

16:00 - 16:45 Invited Talk (Stuart Russell) [Recording]
Location: Lecture Theatre D
Chair: Stephen Muggleton

16:45 - 17:15 Discussion Panel [Recording]
Location: Lecture Theatre D
Chair: Stephen Muggleton

17:30 - 19:30 Social Dinner (BBQ)
Location: Campus Lake or Hillside Food Court (depending on the weather)

Day 3 (Saturday 13th September 2025)

08:00 - 09:00 Refreshment

09:00 - 09:45 Invited Talk (Wang-Zhou Dai) [Recording]
Location: Lecture Theatre D
Chair: Alireza Tamaddoni-Nezhad

09:45 - 10:45: Journal Paper Session 2 [Recording]
Location: Lecture Theatre D
Chair: Alireza Tamaddoni-Nezhad

09:45 - 10:15
Céline Rouveirol, Henry Soldano, Malik Kazi Aoual, Véronique Ventos
Common abductive explanations in first order logic

10:15 - 10:45
Felix Weitkämper
Scaling the weight parameters in Markov logic networks and relational logistic regression models

09:45 - 10:45: Journal Paper Session 2 [Recording] Location: Lecture Theatre D Chair: Alireza Tamaddoni-Nezhad
09:45 - 10:15 Céline Rouveirol, Henry Soldano, Malik Kazi Aoual, Véronique Ventos Common abductive explanations in first order logic 10:15 - 10:45 Felix Weitkämper Scaling the weight parameters in Markov logic networks and relational logistic regression models

10:45 – 11:00 Tea/Coffee & Poster presentation
Location: LT Lower Concourse

11:00 - 12:00 Main Track Presentations - Session 3 (Cognitive AI) [Recording]
Location: Lecture Theatre D
Chair: Pat Langley

11:00 - 11:20
Alexander Schneider; Ute Schmid
Aleph Plays Codenames: Flexible Semantic Grouping by Humans, LLMs, and ILP

11:20 - 11:40
Tony Ribeiro; Maxime Folschette; Morgan Magnin; Katsumi Inoue; Tuan Nguyen; Kotaro Okazaki; Kuo-Yen Lo; Jérémie Poschmann; Antoine Roquilly
Counterfactual Explanations Under Learning From Interpretation Transition

11:40 - 12:00
Slimane Larabi
Can Mental Imagery Improve the Thinking Capabilities of AI Systems?

11:00 - 12:00 Main Track Presentations - Session 3 (Cognitive AI) [Recording] Location: Lecture Theatre D Chair: Pat Langley
11:00 - 11:20 Alexander Schneider; Ute Schmid Aleph Plays Codenames: Flexible Semantic Grouping by Humans, LLMs, and ILP 11:20 - 11:40 Tony Ribeiro; Maxime Folschette; Morgan Magnin; Katsumi Inoue; Tuan Nguyen; Kotaro Okazaki; Kuo-Yen Lo; Jérémie Poschmann; Antoine Roquilly Counterfactual Explanations Under Learning From Interpretation Transition 11:40 - 12:00 Slimane Larabi Can Mental Imagery Improve the Thinking Capabilities of AI Systems?

12:00 – 13:00 Lunch
Location: LT Upper Concourse

13:00- 14:00 Main Track Presentations - Session 4 (Neural Symbolic AI) [Recording]
Location: Lecture Theatre D
Chair: Wang-Zhou Dai

13:00 - 13:20
Sopam Dasgupta; Sadaf MD Halim; Joaqu'in Arias; Elmer Salazar; Gopal Gupta
P2C: Path to Counterfactuals

13:20 - 13:40
Simon Flügel; Martin Glauer; Till Mossakowski; Fabian Neuhaus
ChemLog: Making MSOL Viable for Ontological Classification and Learning

13:40 - 14:00
Bhavan Vasu; Guiseppe Raffa; Prasad Tadepalli
Local-to-Global Logical Explanations for Deep Vision Models

13:00- 14:00 Main Track Presentations - Session 4 (Neural Symbolic AI) [Recording] Location: Lecture Theatre D Chair: Wang-Zhou Dai
13:00 - 13:20 Sopam Dasgupta; Sadaf MD Halim; Joaqu'in Arias; Elmer Salazar; Gopal Gupta P2C: Path to Counterfactuals 13:20 - 13:40 Simon Flügel; Martin Glauer; Till Mossakowski; Fabian Neuhaus ChemLog: Making MSOL Viable for Ontological Classification and Learning 13:40 - 14:00 Bhavan Vasu; Guiseppe Raffa; Prasad Tadepalli Local-to-Global Logical Explanations for Deep Vision Models

14:00 - 14:45 Late-breaking, Poster and Demo Presentations - Session 2 [Recording]
Location: Lecture Theatre D
Chair: Wang-Zhou Dai

14:00 - 14:15
Dominique Bouthinon; Junkang Li; Véronique Ventos
Kimind: a new test bed for learning and reasoning

14:15 - 14:30
Dany Varghese;Alfie Anthony Treloar; Shubhi Verma; Alireza Tamaddoni-Nezhad; Alan Hunter
Human–Machine Learning for Safe and Legal Autonomous Navigation using Inductive Logic Programming

14:30 - 14:45
Shubhi Verma; Dany Varghese; Alfie Anthony Treloar; Alan Hunter; Alireza Tamaddoni-Nezhad
From Rules to Learning and Reasoning: A Case Study in Explainable Legal Compliance for Autonomous Systems Using Inductive Logic Programming

14:00 - 14:45 Late-breaking, Poster and Demo Presentations - Session 2 [Recording] Location: Lecture Theatre D Chair: Wang-Zhou Dai
14:00 - 14:15 Dominique Bouthinon; Junkang Li; Véronique Ventos Kimind: a new test bed for learning and reasoning 14:15 - 14:30 Dany Varghese;Alfie Anthony Treloar; Shubhi Verma; Alireza Tamaddoni-Nezhad; Alan Hunter Human–Machine Learning for Safe and Legal Autonomous Navigation using Inductive Logic Programming 14:30 - 14:45 Shubhi Verma; Dany Varghese; Alfie Anthony Treloar; Alan Hunter; Alireza Tamaddoni-Nezhad From Rules to Learning and Reasoning: A Case Study in Explainable Legal Compliance for Autonomous Systems Using Inductive Logic Programming

14:45 – 15:00 Tea/Coffee & Poster presentation
Location: LT Lower Concourse

15:00 - 15:45 Late-breaking, Poster and Demo Presentations - Session 3 [Recording]
Location: Lecture Theatre D
Chair: Andrew Cropper

15:00 - 15:15
Kateřina Hrudková; Tomas Kliegr
ILP Meets RDF: Enabling Interoperability Between Popper and AMIE Graph Rule Learning

15:15 - 15:30
Nikolai-Iraj Sanamrad; Carlos Monserrat; Maria José Ramírez-Quintana
ASAp: Automated Supervision Application for Student Task Monitoring

15:30 - 15:45
Vedat Yasar; Kishore Srinivasan; Sheila Favaedi; Shiva Favaedi; Harsh Marthak; Aqib Hafiz; Ali Shahebrahimi; Graeme Gourlay; Alireza Tamaddoni Nezhad
Integrating Language Models into Inductive Logic Programming: Enhancing Knowledge Integration and Human-Centric Explainability

15:00 - 15:45 Late-breaking, Poster and Demo Presentations - Session 3 [Recording] Location: Lecture Theatre D Chair: Andrew Cropper
15:00 - 15:15 Kateřina Hrudková; Tomas Kliegr ILP Meets RDF: Enabling Interoperability Between Popper and AMIE Graph Rule Learning 15:15 - 15:30 Nikolai-Iraj Sanamrad; Carlos Monserrat; Maria José Ramírez-Quintana ASAp: Automated Supervision Application for Student Task Monitoring 15:30 - 15:45 Vedat Yasar; Kishore Srinivasan; Sheila Favaedi; Shiva Favaedi; Harsh Marthak; Aqib Hafiz; Ali Shahebrahimi; Graeme Gourlay; Alireza Tamaddoni Nezhad Integrating Language Models into Inductive Logic Programming: Enhancing Knowledge Integration and Human-Centric Explainability

15:45 - 16:30 Recently Published Presentations - Session 2 [Recording]
Location: Lecture Theatre D
Chair: Tomas Kliegr

15:45 - 16:00
Akihiro Yamamoto
Implementing Derivations of Definite Logic Programs with Self-Attention Networks: Revised and Extended Verison

16:00 - 16:15
Victor Verreet; Lennert De Smet; Luc De Raedt; Emanuele Sansone
EXPLAIN, AGREE, LEARN: Scaling Learning for Neural Probabilistic Logic

16:15 - 16:30
Daniel Cyrus; Dany Varghese; Alireza Tamaddoni-Nezhad
Numerical-Symbolic Learning from Biomedical Data

15:45 - 16:30 Recently Published Presentations - Session 2 [Recording] Location: Lecture Theatre D Chair: Tomas Kliegr
15:45 - 16:00 Akihiro Yamamoto Implementing Derivations of Definite Logic Programs with Self-Attention Networks: Revised and Extended Verison 16:00 - 16:15 Victor Verreet; Lennert De Smet; Luc De Raedt; Emanuele Sansone EXPLAIN, AGREE, LEARN: Scaling Learning for Neural Probabilistic Logic 16:15 - 16:30 Daniel Cyrus; Dany Varghese; Alireza Tamaddoni-Nezhad Numerical-Symbolic Learning from Biomedical Data

17:00 - 19:00 Social Walk
Location: Guildford

Day 4 (Sunday 14th September 2025)

08:00 - 09:00 Refreshments

09:00 - 09:45 Invited Talk (Andrew Cropper) [Recording]
Location: Lecture Theatre E
Chair: Alireza Tamaddoni-Nezhad

09:45 - 10:45: Journal Paper Session 3 [Recording]
Location: Lecture Theatre E
Chair: Alireza Tamaddoni-Nezhad

09:45 - 10:15
Cainã F. Pereira; Daniel S. Menasché; Gerson Zaverucha; Aline Paes; Valmir C. Barbosa
A Utility-Driven Approach to Instance-Based Transfer Learning for Relational Domains

10:15 - 10:45
Xin-Hao Zhu, Shao-Qun Zhang, Yi-Han Wang, Wen-Chao Hu, Jia-Yang Zhou, Wang-Zhou Dai, Zhi-Hua Zhou
Bridge Bidding by Abductive Learning

09:45 - 10:45: Journal Paper Session 3 [Recording] Location: Lecture Theatre E Chair: Alireza Tamaddoni-Nezhad
09:45 - 10:15 Cainã F. Pereira; Daniel S. Menasché; Gerson Zaverucha; Aline Paes; Valmir C. Barbosa A Utility-Driven Approach to Instance-Based Transfer Learning for Relational Domains 10:15 - 10:45 Xin-Hao Zhu, Shao-Qun Zhang, Yi-Han Wang, Wen-Chao Hu, Jia-Yang Zhou, Wang-Zhou Dai, Zhi-Hua Zhou Bridge Bidding by Abductive Learning

10:45 – 11:00 Tea/Coffee & Poster presentation
Location: LT Lower Concourse

11:00 - 12:00 Main Track Presentations - Session 5 (Statistical Relational Learning) [Recording]
Location: Lecture Theatre E
Chair: Wang-Zhou Dai

11:00 - 11:20
Zora Wurm; Kilian Rückschloß; Felix Weitkämper
From probability to causality in probabilistic logic programming

11:20 - 11:40
Elisabetta Gentili; Alice Bizzarri; Damiano Azzolini; Fabrizio Riguzzi
The Gradient Semiring for Probabilistic Answer Set Programming and Its Application to Parameter Learning

11:40 - 12:00
Fadwa Idlahcen; Peter Jung; Giuseppa Marra; Ondrej Kuzelka
Neural Markov Logic Networks with Tree Axiom

11:00 - 12:00 Main Track Presentations - Session 5 (Statistical Relational Learning) [Recording] Location: Lecture Theatre E Chair: Wang-Zhou Dai
11:00 - 11:20 Zora Wurm; Kilian Rückschloß; Felix Weitkämper From probability to causality in probabilistic logic programming 11:20 - 11:40 Elisabetta Gentili; Alice Bizzarri; Damiano Azzolini; Fabrizio Riguzzi The Gradient Semiring for Probabilistic Answer Set Programming and Its Application to Parameter Learning 11:40 - 12:00 Fadwa Idlahcen; Peter Jung; Giuseppa Marra; Ondrej Kuzelka Neural Markov Logic Networks with Tree Axiom

12:00 – 13:00 Lunch
Location: LT Upper Concourse

13:00- 14:20 Main Track Presentations - Session 6 (ILP for Explainable AI) [Recording]
Location: Lecture Theatre E
Chair: Andrew Cropper

13:00 - 13:20
Nijesh Upreti
Satisfiability Modulo Theory Meets Inductive Logic Programming

13:20 - 13:40
Moitree Basu
Specification of Declarative Privacy Constraints in Artificial Intelligence

13:40 - 14:00
Aswathy Wilson; J Anitha; Dany Varghese
Explainable and Verifiable ASD Detection via Inductive Logic Programming: A Comparative Study with SHAP and LIME

14:00 - 14:20
Dany Varghese; Alireza Tamaddoni-Nezhad
Symbolic Regression via Inductive Logic Programming: An Explainable Alternative to Black-Box Models

13:00- 14:20 Main Track Presentations - Session 6 (ILP for Explainable AI) [Recording] Location: Lecture Theatre E Chair: Andrew Cropper
13:00 - 13:20 Nijesh Upreti Satisfiability Modulo Theory Meets Inductive Logic Programming 13:20 - 13:40 Moitree Basu Specification of Declarative Privacy Constraints in Artificial Intelligence 13:40 - 14:00 Aswathy Wilson; J Anitha; Dany Varghese Explainable and Verifiable ASD Detection via Inductive Logic Programming: A Comparative Study with SHAP and LIME 14:00 - 14:20 Dany Varghese; Alireza Tamaddoni-Nezhad Symbolic Regression via Inductive Logic Programming: An Explainable Alternative to Black-Box Models

14:20 - 14:50 Late-breaking, Poster and Demo Presentations - Session 4 [Recording]
Location: Lecture Theatre E
Chair: Andrew Cropper

14:20 - 14:35
James Trewern
Prolog2: Meta-Interpretive Learning system

14:35 - 14:50
Matthew Woodruff; Alireza Tamaddoni-Nezhad
An ILP Approach to Interpretable Educational Risk Assessment

14:20 - 14:50 Late-breaking, Poster and Demo Presentations - Session 4 [Recording] Location: Lecture Theatre E Chair: Andrew Cropper
14:20 - 14:35 James Trewern Prolog2: Meta-Interpretive Learning system 14:35 - 14:50 Matthew Woodruff; Alireza Tamaddoni-Nezhad An ILP Approach to Interpretable Educational Risk Assessment

14:50 – 15:05 Tea/Coffee & Poster presentation
Location: LT Lower Concourse

15:05 - 16:00 Closing Session and Community Meeting
Location: Lecture Theatre E