Social Learning through Evolution of Language. - Dimitar Kazakov; Mark Bartlett (Artificial Evolution, 2003)

Cooperative Navigation And The Faculty Of Language. - Dimitar Kazakov; Mark Bartlett (Appl. Artif. Intell., 2004)

Comparing Resource Sharing with Information Exchange in Co-operative Agents, and the Role of Environment Structure. - Mark Bartlett; Dimitar Kazakov (Adaptive Agents and Multi-Agent Systems, 2005)

The Temporal Knapsack Problem and Its Solution. - Mark Bartlett; Alan M. Frisch; Youssef Hamadi; Ian Miguel; Armagan Tarim; Chris Unsworth (CPAIOR, 2005)

The origins of syntax: from navigation to language. - Mark Bartlett; Dimitar Kazakov (Connect. Sci., 2005)

Challenges in Relational Learning for Real-Time Systems Applications. - Mark Bartlett; Iain Bate; Dimitar Kazakov (ILP, 2008)

Guaranteed Loop Bound Identification from Program Traces for WCET. - Mark Bartlett; Iain Bate; Dimitar Kazakov (IEEE Real-Time and Embedded Technology and Applications Symposium, 2009)

Instruction Cache Prediction Using Bayesian Networks. - Mark Bartlett; Iain Bate; James Cussens (ECAI, 2010)

Learning Bayesian Networks for Improved Instruction Cache Analysis. - Mark Bartlett; Iain Bate; James Cussens (ICMLA, 2010)

Accurate Determination of Loop Iterations for Worst-Case Execution Time Analysis. - Mark Bartlett; Iain Bate; Dimitar Kazakov (IEEE Trans. Computers, 2010)

Probabilistic Instruction Cache Analysis Using Bayesian Networks. - Mark Bartlett; Iain Bate; James Cussens; Dimitar Kazakov (RTCSA (1), 2011)

Video subset selection for measurement based Worst Case Execution Time analysis. - Sitsofe Wheeler; Iain Bate; Mark Bartlett (SIES, 2011)

Advances in Bayesian Network Learning using Integer Programming. - James Cussens; Mark Bartlett (UAI, 2013)

Bayesian Network Structure Learning with Integer Programming: Polytopes, Facets and Complexity (Extended Abstract). - James Cussens; Matti Järvisalo; Janne H. Korhonen; Mark Bartlett (IJCAI, 2017)

Integer Linear Programming for the Bayesian network structure learning problem. - Mark Bartlett; James Cussens (Artif. Intell., 2017)

Bayesian Network Structure Learning with Integer Programming: Polytopes, Facets and Complexity. - James Cussens; Matti Järvisalo; Janne H. Korhonen; Mark Bartlett (J. Artif. Intell. Res., 2017)

On the definition of dynamic permutation problems under landscape rotation. - Joan Alza; Mark Bartlett; Josu Ceberio; John McCall 001 (GECCO (Companion), 2019)

"How are you?" Estimation of anxiety, sleep quality, and mood using computational voice analysis. - Samuel Kim; Namhee Kwon; Henry O'Connell; Nathan Fisk; Scott Ferguson; Mark Bartlett (EMBC, 2020)

Towards the landscape rotation as a perturbation strategy on the quadratic assignment problem. - Joan Alza; Mark Bartlett; Josu Ceberio; John A. W. McCall (GECCO Companion, 2021)

Analysing the Fitness Landscape Rotation for Combinatorial Optimisation. - Joan Alza; Mark Bartlett; Josu Ceberio; John A. W. McCall (PPSN (1), 2022)

On the elusivity of dynamic optimisation problems. - Joan Alza; Mark Bartlett; Josu Ceberio; John McCall 001 (Swarm Evol. Comput., 2023)