Mark Law - RankMe

59 papers A* 8A 1B 6C 2Misc 1Journal 27Unranked 13

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Data-Dependent Goal Modeling for ML-Enabled Law Enforcement Systems. CoRR Dalal Alrajeh, Vesna Nowack, Patrick Benjamin, Katie Thomas, William Hobson, Carolina Gutierrez Muñoz, Catherine Hamilton-Giachritsis, Juliane A. Kloess, Jessica Woodhams, Daniel Butler, Mark Law, Ralph Morton, Benjamin Costello, Amy Burrell, Tim D. Grant, Prachiben Shah, Frances Adriana Laureano De Leon, Mark Lee
2026	J	`jnl`	Failure Detection in Chemical Processes Using Symbolic Machine Learning: A Case Study on Ethylene Oxidation. CoRR Julien Amblard, Niklas Groll, Matthew Tait, Mark Law, Gürkan Sin, Alessandra Russo
2026	J	`jnl`	LearnAD: Learning Interpretable Rules for Brain Networks in Alzheimer's Disease Classification. CoRR Thomas Andrews, Mark Law, Sara Ahmadi-Abhari, Alessandra Russo
2026	J	`jnl`	Towards ILP-based LTLf passive learning. J. Log. Comput. Antonio Ielo, Mark Law, Valeria Fionda, Francesco Ricca, Giuseppe De Giacomo, Alessandra Russo
2025	—	`conf`	Learning and Enforcing Context-Sensitive Control for LLMs. ACL (4) Mohammad Albinhassan, Pranava Madhyastha, Mark Law, Alessandra Russo
2024	—	`conf`	The Role of Foundation Models in Neuro-Symbolic Learning and Reasoning. NeSy (1) Daniel Cunnington, Mark Law, Jorge Lobo, Alessandra Russo
2024	J	`jnl`	The Role of Foundation Models in Neuro-Symbolic Learning and Reasoning. CoRR Daniel Cunnington, Mark Law, Jorge Lobo, Alessandra Russo
2024	B	`conf`	Towards Explainable Weather Forecasting Through FastLAS. LPNMR Talissa Dreossi, Agostino Dovier, Andrea Formisano, Mark Law, Agostino Manzato, Alessandra Russo, Matthew Tait
2023	J	`jnl`	A Unifying Framework for Learning Argumentation Semantics. CoRR Zlatina Mileva, Antonis Bikakis, Fabio Aurelio D'Asaro, Mark Law, Alessandra Russo
2023	J	`jnl`	Conflict-Driven Inductive Logic Programming. Theory Pract. Log. Program. Mark Law
2023	J	`jnl`	FFNSL: Feed-Forward Neural-Symbolic Learner. Mach. Learn. Daniel Cunnington, Mark Law, Jorge Lobo, Alessandra Russo
2023	A*	`conf`	Hierarchies of Reward Machines. ICML Daniel Furelos-Blanco, Mark Law, Anders Jonsson, Krysia Broda, Alessandra Russo
2023	A*	`conf`	Learning to Break Symmetries for Efficient Optimization in Answer Set Programming. AAAI Alice Tarzariol, Martin Gebser, Konstantin Schekotihin, Mark Law
2023	A*	`conf`	Neuro-Symbolic Learning of Answer Set Programs from Raw Data. IJCAI Daniel Cunnington, Mark Law, Jorge Lobo, Alessandra Russo
2023	B	`conf`	Towards ILP-Based LTL f Passive Learning. ILP Antonio Ielo, Mark Law, Valeria Fionda, Francesco Ricca, Giuseppe De Giacomo, Alessandra Russo
2022	J	`jnl`	Efficient Lifting of Symmetry Breaking Constraints for Complex Combinatorial Problems. Theory Pract. Log. Program. Alice Tarzariol, Konstantin Schekotihin, Martin Gebser, Mark Law
2022	J	`jnl`	Efficient lifting of symmetry breaking constraints for complex combinatorial problems. CoRR Alice Tarzariol, Martin Gebser, Mark Law, Konstantin Schekotihin
2022	J	`jnl`	Hierarchies of Reward Machines. CoRR Daniel Furelos-Blanco, Mark Law, Anders Jonsson, Krysia Broda, Alessandra Russo
2022	J	`jnl`	Inductive Learning of Complex Knowledge from Raw Data. CoRR Daniel Cunnington, Mark Law, Jorge Lobo, Alessandra Russo
2022	B	`conf`	Learning to Rank the Distinctiveness of Behaviour in Serial Offending. LPNMR Mark Law, Théophile Sautory, Ludovico Mitchener, Kari Davies, Matthew J. Tonkin, Jessica Woodhams, Dalal Alrajeh
2022	A*	`conf`	Search Space Expansion for Efficient Incremental Inductive Logic Programming from Streamed Data. IJCAI Mark Law, Krysia Broda, Alessandra Russo
2021	J	`jnl`	Conflict-driven Inductive Logic Programming. CoRR Mark Law
2021	J	`jnl`	FF-NSL: Feed-Forward Neural-Symbolic Learner. CoRR Daniel Cunnington, Mark Law, Alessandra Russo, Jorge Lobo
2021	J	`jnl`	Induction and Exploitation of Subgoal Automata for Reinforcement Learning. J. Artif. Intell. Res. Daniel Furelos-Blanco, Mark Law, Anders Jonsson, Krysia Broda, Alessandra Russo
2021	—	`conf`	Inductive Learning of Complex Knowledge from Raw Data. TFSOCTAI@AAAI Fall Symposium Daniel Cunnington, Mark Law, Jorge Lobo, Alessandra Russo
2021	—	`conf`	Online Symbolic Learning of Policies for Explainable Security. TPS-ISA Arthur Drozdov, Mark Law, Jorge Lobo, Alessandra Russo, Mercion Wilathgamuwage Don
2021	A*	`conf`	Scalable Non-observational Predicate Learning in ASP. IJCAI Mark Law, Alessandra Russo, Krysia Broda, Elisa Bertino
2021	C	`conf`	Towards Neural-Symbolic Learning to support Human-Agent Operations. FUSION Daniel Cunnington, Mark Law, Alessandra Russo, Jorge Lobo, Lance M. Kaplan
2020	A*	`conf`	FastLAS: Scalable Inductive Logic Programming Incorporating Domain-Specific Optimisation Criteria. AAAI Mark Law, Alessandra Russo, Elisa Bertino, Krysia Broda, Jorge Lobo
2020	J	`jnl`	Induction and Exploitation of Subgoal Automata for Reinforcement Learning. CoRR Daniel Furelos-Blanco, Mark Law, Anders Jonsson, Krysia Broda, Alessandra Russo
2020	A*	`conf`	Induction of Subgoal Automata for Reinforcement Learning. AAAI Daniel Furelos-Blanco, Mark Law, Alessandra Russo, Krysia Broda, Anders Jonsson
2020	J	`jnl`	Inductive general game playing. Mach. Learn. Andrew Cropper, Richard Evans, Mark Law
2020	J	`jnl`	NSL: Hybrid Interpretable Learning From Noisy Raw Data. CoRR Daniel Cunnington, Alessandra Russo, Mark Law, Jorge Lobo, Lance M. Kaplan
2020	—	`conf`	Polisma - A Framework for Learning Attribute-Based Access Control Policies. ESORICS (1) Amani Abu Jabal, Elisa Bertino, Jorge Lobo, Mark Law, Alessandra Russo, Seraphin B. Calo, Dinesh C. Verma
2020	J	`jnl`	The ILASP system for Inductive Learning of Answer Set Programs. CoRR Mark Law, Alessandra Russo, Krysia Broda
2019	C	`conf`	A Comparison Between Statistical and Symbolic Learning Approaches for Generative Policy Models. ICMLA Graham White, Daniel Cunnington, Mark Law, Elisa Bertino, Geeth de Mel, Alessandra Russo
2019	Misc	`conf`	A Demonstration of Generative Policy Models in Coalition Environments. PAAMS Daniel Cunnington, Graham White, Mark Law, Geeth de Mel
2019	—	`conf`	A Generative Policy Model for Connected and Autonomous Vehicles. ITSC Daniel Cunnington, Irene Manotas, Mark Law, Geeth de Mel, Seraphin B. Calo, Elisa Bertino, Alessandra Russo
2019	A	`conf`	Generative Policies for Coalition Systems - A Symbolic Learning Framework. ICDCS Elisa Bertino, Graham White, Jorge Lobo, John Ingham, Gregory H. Cirincione, Alessandra Russo, Mark Law, Seraphin B. Calo, Irene Manotas, Dinesh C. Verma, Amani Abu Jabal, Daniel Cunnington, Geeth de Mel
2019	J	`jnl`	Induction of Subgoal Automata for Reinforcement Learning. CoRR Daniel Furelos-Blanco, Mark Law, Alessandra Russo, Krysia Broda, Anders Jonsson
2019	J	`jnl`	Inductive general game playing. CoRR Andrew Cropper, Richard Evans, Mark Law
2019	—	`conf`	Logic-Based Learning of Answer Set Programs. RW Mark Law, Alessandra Russo, Krysia Broda
2019	A*	`conf`	Representing and Learning Grammars in Answer Set Programming. AAAI Mark Law, Alessandra Russo, Elisa Bertino, Krysia Broda, Jorge Lobo
2019	—	`conf`	Towards a Neural-Symbolic Generative Policy Model. IEEE BigData Daniel Cunnington, Mark Law, Alessandra Russo, Elisa Bertino, Seraphin B. Calo
2019	B	`conf`	Using an ASG Based Generative Policy to Model Human Rules. SMARTCOMP Graham White, John Ingham, Mark Law, Alessandra Russo
2018	—	`conf`	AGENP: An ASGrammar-based GENerative Policy Framework. PADG@ESORICS Seraphin B. Calo, Irene Manotas, Geeth de Mel, Daniel Cunnington, Mark Law, Dinesh C. Verma, Alessandra Russo, Elisa Bertino
2018	J	`jnl`	Inductive Learning of Answer Set Programs from Noisy Examples. CoRR Mark Law, Alessandra Russo, Krysia Broda
2018	—	`—`	Inductive learning of answer set programs. Mark Law
2018	—	`conf`	Learning Commonsense Knowledge Through Interactive Dialogue. ICLP (Technical Communications) Benjamin Wu, Alessandra Russo, Mark Law, Katsumi Inoue
2018	J	`jnl`	The complexity and generality of learning answer set programs. Artif. Intell. Mark Law, Alessandra Russo, Krysia Broda
2017	—	`conf`	Machine Comprehension of Text Using Combinatory Categorial Grammar and Answer Set Programs. COMMONSENSE Piotr Chabierski, Alessandra Russo, Mark Law, Krysia Broda
2016	—	`conf`	An Abductive-Inductive Algorithm for Probabilistic Inductive Logic Programming. ILP (Short Papers) Stanislav Dragiev, Alessandra Russo, Krysia Broda, Mark Law, Calin-Rares Turliuc
2016	J	`jnl`	Iterative Learning of Answer Set Programs from Context Dependent Examples. CoRR Mark Law, Alessandra Russo, Krysia Broda
2016	J	`jnl`	Iterative Learning of Answer Set Programs from Context Dependent Examples. Theory Pract. Log. Program. Mark Law, Alessandra Russo, Krysia Broda
2016	—	`conf`	Privacy dynamics: learning privacy norms for social software. SEAMS@ICSE Gül Çalikli, Mark Law, Arosha K. Bandara, Alessandra Russo, Luke Dickens, Blaine A. Price, Avelie Stuart, Mark Levine, Bashar Nuseibeh
2015	B	`conf`	Automated Inference of Rules with Exception from Past Legal Cases Using ASP. LPNMR Duangtida Athakravi, Ken Satoh, Mark Law, Krysia Broda, Alessandra Russo
2015	J	`jnl`	Learning Weak Constraints in Answer Set Programming. CoRR Mark Law, Alessandra Russo, Krysia Broda
2015	J	`jnl`	Learning weak constraints in answer set programming. Theory Pract. Log. Program. Mark Law, Alessandra Russo, Krysia Broda
2014	B	`conf`	Inductive Learning of Answer Set Programs. JELIA Mark Law, Alessandra Russo, Krysia Broda