Combining Weak Learning Heuristics in General Problem Solvers. - Thomas Leo McCluskey (IJCAI, 1987)

Deriving a Correct Logic Program from the Formal Specification of a Non-Linear Planner. - Thomas Leo McCluskey (ISMIS, 1988)

Experience-driven heuristic acquisition in general problem solvers. - Thomas Leo McCluskey (1988)

Progress in machine learning - Proceedings of EWSL 87: Second European working session on learning by I. Bratko and N. Lavrac (eds.), Sigma Press, pp 256, £14.95. - Lee McCluskey (Knowl. Eng. Rev., 1989)

Incremental Learning in a Probalistic Information Retrieval System. - A. Goker; Thomas Leo McCluskey (ML, 1991)

Towards an Adaptive Information Retrieval System. - A. Goker; Thomas Leo McCluskey (ISMIS, 1991)

Learning Heuristics for Ordering Plan Goals through Static Operator Analysis. - Thomas Leo McCluskey; J. M. Porteous (ISMIS, 1994)

A Requirements Capture Method and its use in an Air Traffic Control Application. - Thomas Leo McCluskey; J. M. Porteous; Y. Naik; C. N. Taylor; Sara Jones 001 (Softw. Pract. Exp., 1995)

Object-Centered Planning: Lifting Classical Planning from the Literal Level to the Object Level. - Thomas Leo McCluskey; Diane E. Kitchin; J. M. Porteous (ICTAI, 1996)

Engineering and Compiling Planning Domain Models to Promote Validity and Efficiency. - Thomas Leo McCluskey; J. M. Porteous (Artif. Intell., 1997)

A Case Study in the Use of Theory Revision in Requirements Validation. - Thomas Leo McCluskey; Margaret Mary West (ICML, 1998)

A tool-supported approach to engineering HTN planning models. - Thomas Leo McCluskey; Diane E. Kitchin (ICTAI, 1998)

Towards the Automated Debugging and Maintenance of Logic-based Requirements Models. - Thomas Leo McCluskey; Margaret Mary West (ASE, 1998)

Object Transition Sequences: A New Form of Abstraction for HTN Planners. - Thomas Leo McCluskey (AIPS, 2000)

The application of a machine learning tool to the validation of an air traffic control domain theory. - Margaret Mary West; Thomas Leo McCluskey (ICTAI, 2000)

Knowledge Representation in Planning: A PDDL to OCLh Translation. - Ron M. Simpson; Thomas Leo McCluskey; Donghong Liu; Diane E. Kitchin (ISMIS, 2000)

OCL-Graph: Exploiting Object Structure in a Plan Graph Algorithm. - Ron M. Simpson; Thomas Leo McCluskey; Donghong Liu (PuK, 2000)

The Automated Refinement of a Requirements Domain Theory. - Thomas Leo McCluskey; Margaret Mary West (Autom. Softw. Eng., 2001)

The Application of Machine Learning Tools to the Validation of an Air Traffic Control Domain Theory. - Margaret Mary West; Thomas Leo McCluskey (Int. J. Artif. Intell. Tools, 2001)

An Interactive Method for Inducing Operator Descriptions. - Thomas Leo McCluskey; N. Elisabeth Richardson; Ron M. Simpson (AIPS, 2002)

A Tool Supported Structured Method for Planning Domain Acquisition. - Ron M. Simpson; Thomas Leo McCluskey (ISMIS, 2002)

GIPO II: HTN Planning in a Tool-supported Knowledge Engineering Environment. - Thomas Leo McCluskey; Donghong Liu; Ron M. Simpson (ICAPS, 2003)

Knowledge Formulation for AI Planning. - Thomas Leo McCluskey; Ron M. Simpson (EKAW, 2004)

The First Competition on Knowledge Engineering for Planning and Scheduling. - Roman Barták; Lee McCluskey (AI Mag., 2006)

Introduction to the Special Issue on Knowledge Engineering Tools and Techniques for Automated Planning and Scheduling Systems. - Roman Barták; Lee McCluskey (Knowl. Eng. Rev., 2007)

Planning domain definition using GIPO. - Ron M. Simpson; Diane E. Kitchin; Thomas Leo McCluskey (Knowl. Eng. Rev., 2007)

Looking at the Class Associative Classification Training Algorithm. - Fadi A. Thabtah; Qazafi Mahmood; Lee McCluskey (ITNG, 2008)

Acquisition of Object-Centred Domain Models from Planning Examples. - Stephen Cresswell; Thomas Leo McCluskey; Margaret Mary West (ICAPS, 2009)

Automated Acquisition of Action Knowledge. - Thomas Leo McCluskey; Stephen Cresswell; N. Elisabeth Richardson; Margaret Mary West (ICAART, 2009)

Action Knowledge Acquisition with Opmaker2. - Thomas Leo McCluskey; Stephen Cresswell; N. Elisabeth Richardson; Margaret Mary West (ICAART (Revised Selected Papers), 2009)

The Third Competition on Knowledge Engineering for Planning and Scheduling. - Roman Barták; Simone Fratini; Lee McCluskey (AI Mag., 2010)

A New Classification Based on Association Algorithm. - Fadi A. Thabtah; Qazafi Mahmood; Lee McCluskey; Hussein Abdel-jaber (J. Inf. Knowl. Manag., 2010)

Preface to special issue on planning and scheduling. - Roman Barták; Amedeo Cesta; Lee McCluskey; Miguel A. Salido (Knowl. Eng. Rev., 2010)

Real-Time Path Planning using a Simulation-Based Markov Decision Process. - Munir Naveed; Andrew Crampton; Diane E. Kitchin; Thomas Leo McCluskey (SGAI Conf., 2011)

Optimizing Plans through Analysis of Action Dependencies and Independencies. - Lukás Chrpa; Thomas Leo McCluskey; Hugh Osborne (ICAPS, 2012)

On Exploiting Structures of Classical Planning Problems: Generalizing Entanglements. - Lukás Chrpa; Thomas Leo McCluskey (ECAI, 2012)

Large-scale Parallel Stratified Defeasible Reasoning. - Ilias Tachmazidis; Grigoris Antoniou; Giorgos Flouris; Spyros Kotoulas; Lee McCluskey (ECAI, 2012)

Reformulating Planning Problems: A Theoretical Point of View. - Lukás Chrpa; Thomas Leo McCluskey; Hugh Osborne (FLAIRS, 2012)

An assessment of features related to phishing websites using an automated technique. - Rami Mustafa A. Mohammad; Fadi A. Thabtah; Lee McCluskey (ICITST, 2012)

Determining Redundant Actions in Sequential Plans. - Lukás Chrpa; Thomas Leo McCluskey; Hugh Osborne (ICTAI, 2012)

OCL Plus: Processes and Events in Object-Centred Planning. - Shahin Shah; Lukás Chrpa; Peter Gregory; Thomas Leo McCluskey; Falilat Jimoh (STAIRS, 2012)

Exploring Knowledge Engineering Strategies in Designing and Modelling a Road Traffic Accident Management Domain. - Mohammad Munshi Shahin Shah; Lukás Chrpa; Diane E. Kitchin; Thomas Leo McCluskey; Mauro Vallati (IJCAI, 2013)

Towards application of automated planning in urban traffic control. - Falilat Jimoh; Lukás Chrpa; Thomas Leo McCluskey; Shahin Shah (ITSC, 2013)

Determining Linearity of Optimal Plans by Operator Schema Analysis. - Lukás Chrpa; Mauro Vallati; Thomas Leo McCluskey (SARA, 2013)

Generating Macro-Operators by Exploiting Inner Entanglements. - Lukás Chrpa; Mauro Vallati; Thomas Leo McCluskey; Diane E. Kitchin (SARA, 2013)

Preface to special issue on Knowledge Engineering for Planning and Scheduling. - Roman Barták; Simone Fratini; Thomas Leo McCluskey (Knowl. Eng. Rev., 2013)

Acquiring planning domain models using LOCM. - Stephen Cresswell; Thomas Leo McCluskey; Margaret Mary West (Knowl. Eng. Rev., 2013)

MUM: A Technique for Maximising the Utility of Macro-operators by Constrained Generation and Use. - Lukás Chrpa; Mauro Vallati; Thomas Leo McCluskey (ICAPS, 2014)

Dynamic OWL Ontology Design Using UML and BPMN. - Joanna Isabelle Olszewska; Ron M. Simpson; Thomas Leo McCluskey (KEOD, 2014)

KEWI - A Knowledge Engineering Tool for Modelling AI Planning Tasks. - Gerhard Wickler; Lukás Chrpa; Thomas Leo McCluskey (KEOD, 2014)

Ontological Support for Modelling Planning Knowledge. - Gerhard Wickler; Lukás Chrpa; Thomas Leo McCluskey (IC3K (Selected Papers), 2014)

Intelligent rule-based phishing websites classification. - Rami Mustafa A. Mohammad; Fadi A. Thabtah; Lee McCluskey (IET Inf. Secur., 2014)

Predicting phishing websites based on self-structuring neural network. - Rami Mustafa A. Mohammad; Fadi A. Thabtah; Lee McCluskey (Neural Comput. Appl., 2014)

Discovering Interesting Trends in Real Medical Data: A Study in Diabetic Retinopathy. - Vassiliki Somaraki; Mauro Vallati; Thomas Leo McCluskey (EPIA, 2015)

On the Online Generation of Effective Macro-Operators. - Lukás Chrpa; Mauro Vallati; Thomas Leo McCluskey (IJCAI, 2015)

On the Effective Configuration of Planning Domain Models. - Mauro Vallati; Frank Hutter; Lukás Chrpa; Thomas Leo McCluskey (IJCAI, 2015)

Exploring the Synergy between Two Modular Learning Techniques for Automated Planning. - Raquel Fuentetaja 001; Lukás Chrpa; Thomas Leo McCluskey; Mauro Vallati (SOCS, 2015)

The 2014 International Planning Competition: Progress and Trends. - Mauro Vallati; Lukás Chrpa; Marek Grzes; Thomas Leo McCluskey; Mark Roberts; Scott Sanner (AI Mag., 2015)

Tutorial and critical analysis of phishing websites methods. - Rami Mustafa A. Mohammad; Fadi A. Thabtah; Lee McCluskey (Comput. Sci. Rev., 2015)

Phishing Websites. - Rami Mustafa A. Mohammad; Lee McCluskey (UCI Machine Learning Repository, 2015)

Self-management in Urban Traffic Control: An Automated Planning Perspective. - Falilat Jimoh; Thomas Leo McCluskey (Autonomic Road Transport Support Systems, 2016)

Autonomic Road Transport Support Systems: An Introduction. - Thomas Leo McCluskey; Apostolos Kotsialos; Jörg P. Müller; Franziska Klügl; Omer F. Rana; René Schumann (Autonomic Road Transport Support Systems, 2016)

Efficient Macroscopic Urban Traffic Models for Reducing Congestion: A PDDL+ Planning Approach. - Mauro Vallati; Daniele Magazzeni; Bart De Schutter; Lukás Chrpa; Thomas Leo McCluskey (AAAI, 2016)

A dynamic self-structuring neural network model to combat phishing. - Fadi A. Thabtah; Rami Mustafa A. Mohammad; Lee McCluskey (IJCNN, 2016)

An Improved Self-Structuring Neural Network. - Rami Mustafa A. Mohammad; Fadi A. Thabtah; Lee McCluskey (PAKDD Workshops, 2016)

Towards The Integration of Model Predictive Control into an AI Planning Framework. - Falilat Jimoh; Thomas Leo McCluskey (PlanSIG, 2016)

The SimplyfAI Project: Using AI Planning in Urban Traffic Management or If at First the Representation Does not Work, Try, Try and Try and Again. - Thomas Leo McCluskey; Mauro Vallati (PlanSIG, 2016)

On the completeness of replacing primitive actions with macro-actions and its generalization to planning operators and macro-operators. - Lukás Chrpa; Thomas Leo McCluskey; Hugh Osborne (AI Commun., 2016)

Automated planning for Urban traffic control: Strategic vehicle routing to respect air quality limitations. - Lukás Chrpa; Daniele Magazzeni; Keith McCabe; Thomas Leo McCluskey; Mauro Vallati (Intelligenza Artificiale, 2016)

Embedding Automated Planning within Urban Traffic Management Operations. - Thomas Leo McCluskey; Mauro Vallati (ICAPS, 2017)

Automated Planning for Urban Traffic Management. - Thomas Leo McCluskey; Mauro Vallati; Santiago Franco (IJCAI, 2017)

Engineering Knowledge for Automated Planning: Towards a Notion of Quality. - Thomas Leo McCluskey; Tiago Stegun Vaquero; Mauro Vallati (K-CAP, 2017)

Improving a Planner's Performance through Online Heuristic Configuration of Domain Models. - Mauro Vallati; Lukás Chrpa; Thomas Leo McCluskey (SOCS, 2017)

The Fifth International Competition on Knowledge Engineering for Planning and Scheduling: Summary and Trends. - Lukás Chrpa; Thomas Leo McCluskey; Mauro Vallati; Tiago Vaquero (AI Mag., 2017)

A Hybrid Approach to Process Planning: The Urban Traffic Controller Example. - Falilat Jimoh; Simon Parkinson; Thomas Leo McCluskey (J. Comput. Sci., 2017)

An Innovative Heuristic for Planning-Based Urban Traffic Control. - Santiago Franco; Alan Lindsay; Mauro Vallati; Thomas Lee McCluskey (ICCS (1), 2018)

Outer entanglements: a general heuristic technique for improving the efficiency of planning algorithms. - Lukás Chrpa; Mauro Vallati; Thomas Leo McCluskey (J. Exp. Theor. Artif. Intell., 2018)

What you always wanted to know about the deterministic part of the International Planning Competition (IPC) 2014 (but were too afraid to ask). - Mauro Vallati; Lukás Chrpa; Thomas Leo McCluskey (Knowl. Eng. Rev., 2018)

Improving Planning Performance in PDDL+ Domains via Automated Predicate Reformulation. - Santiago Franco; Mauro Vallati; Alan Lindsay; Thomas Lee McCluskey (ICCS (5), 2019)

Inner entanglements: Narrowing the search in classical planning by problem reformulation. - Lukás Chrpa; Mauro Vallati; Thomas Leo McCluskey (Comput. Intell., 2019)

In Defence of Design Patterns for AI Planning Knowledge Models (short paper). - Mauro Vallati; Thomas Leo McCluskey (IPS-RCRA@AI*IA, 2020)

In Defence of Design Patterns for AI Planning Knowledge Models. - Mauro Vallati; Thomas Leo McCluskey (AI*IA, 2020)

Refining Process Descriptions from Execution Data in Hybrid Planning Domain Models. - Alan Lindsay; Santiago Franco; Rubiya Reba; Thomas Leo McCluskey (ICAPS, 2020)

A Quality Framework for Automated Planning Knowledge Models. - Mauro Vallati; Thomas Leo McCluskey (ICAART (2), 2021)

On the Importance of Domain Model Configuration for Automated Planning Engines. - Mauro Vallati; Lukás Chrpa; Thomas Leo McCluskey; Frank Hutter (J. Autom. Reason., 2021)

Verification of Numeric Planning Problems Through Domain Dynamic Consistency. - Enrico Scala; Thomas L. McCluskey; Mauro Vallati (AI*IA, 2022)

On-the-Fly Knowledge Acquisition for Automated Planning Applications: Challenges and Lessons Learnt. - Saumya Bhatnagar; Sumit Mund; Enrico Scala; Keith McCabe; Thomas Leo McCluskey; Mauro Vallati (ICAART (2), 2022)

Leveraging Artificial Intelligence for Simulating Traffic Signal Strategies. - Saumya Bhatnagar; Rongge Guo; Keith McCabe; Thomas L. McCluskey; Enrico Scala; Mauro Vallati (ITSC, 2022)

Automated Planning for Generating and Simulating Traffic Signal Strategies. - Saumya Bhatnagar; Rongge Guo; Keith McCabe; Thomas L. McCluskey; Francesco Percassi; Mauro Vallati (IJCAI, 2023)

An Efficient Heuristic for AI-based Urban Traffic Control. - Francesco Percassi; Saumya Bhatnagar; Rongge Guo; Keith McCabe; Thomas Leo McCluskey; Mauro Vallati (MT-ITS, 2023)

Ontology-guided Knowledge Graph Construction to Support Scheduling in a Train Maintenance Depot. - Emmanuel Papadakis 002; Thomas Leo McCluskey; Hassna Louadah; Gareth Tucker (PLATO@ICAPS, 2023)

PDDL+ Models for Deployable yet Effective Traffic Signal Optimisation. - Anas El Kouaiti; Francesco Percassi; Alessandro Saetti; Thomas Leo McCluskey; Mauro Vallati (ICAPS, 2024)

Deployable Yet Effective Traffic Signal Optimisation via Automated Planning (Extended Abstract). - Anas El Kouaiti; Francesco Percassi; Alessandro Saetti; Thomas Leo McCluskey; Mauro Vallati (SOCS, 2024)