Computing Science and Mathematics - Division

People (11)

People

Dr Ahsan Adeel

Dr Ahsan Adeel

Assoc. Prof. in Artificial Intelligence, Computing Science and Mathematics - Division

Dr Vahid Akbari

Dr Vahid Akbari

Lect in Artificial Intelligence/Data Sci, Computing Science and Mathematics - Division

Dr Sandy Brownlee

Dr Sandy Brownlee

Senior Lecturer in Computing Science, Computing Science and Mathematics - Division

Mr Sandy Carmichael

Mr Sandy Carmichael

Tutor, Computing Science

Mr Craig Docherty

Mr Craig Docherty

PhD Researcher, Computing Science and Mathematics - Division

Mr Muyao Fan

Mr Muyao Fan

PhD Researcher, Computing Science and Mathematics - Division

Mr John Jabbo

Mr John Jabbo

Tutor, Computing Science and Mathematics - Division

Mrs Penny Johnston

Mrs Penny Johnston

PhD Researcher, Computing Science and Mathematics - Division

Dr Wen-shin Lee

Dr Wen-shin Lee

Lecturer, Computing Science and Mathematics - Division

Dr Ashley McClenaghan

Dr Ashley McClenaghan

Lecturer in Software Engineering, Computing Science and Mathematics - Division

Mr Ahmed Saeed

Mr Ahmed Saeed

PhD Researcher, Computing Science and Mathematics - Division

Outputs (471)

Outputs

Showing 15 of 471 — See all 471 outputs

Conference Proceeding

Graham K, Thomson S & Brownlee A (2023) Unexplained Fluctuations in Particle Swarm Optimisation Performance with Increasing Problem Dimensionality. In: GECCO '23 Companion: Proceedings of the Companion Conference on Genetic and Evolutionary Computation. The Genetic and Evolutionary Computation Conference (GECCO) 2023, Lisbon, 15.07.2023-19.07.2023. New York: ACM, pp. 67-68.


Conference Proceeding

Fyvie M, McCall JAW, Christie LA, Zavoianu A, Brownlee AEI & Ainslie R (2023) Explaining A Staff Rostering Problem By Mining Trajectory Variance Structures. In: TBC. Lecture Notes in Artificial Intelligence. AI-2023 Forty-third SGAI International Conference on Artificial Intelligence, Cambridge, 12.12.2023-14.12.2023. Cham, Switzerland: Springer.


Book Chapter

Brownlee A, Callan J, Even-Mendoza K, Geiger A, Hanna C, Petke J, Sarro F & Sobania D (2023) Enhancing Genetic Improvement Mutations Using Large Language Models. In: Arcaini P, Yue T & Fredericks EM (eds.) Search-Based Software Engineering: 15th International Symposium, SSBSE 2023, San Francisco, CA, USA, December 8, 2023, Proceedings. Lecture Notes in Computer Science. Cham, Switzerland: Springer. https://link.springer.com/book/9783031487958


Conference Proceeding

Thomson S, Adair J, Brownlee A & van den Berg D (2023) From Fitness Landscapes to Explainable AI and Back. In: GECCO '23 Companion. Gecco '23: The Genetic and Evolutionary Computation Conference, Lisbon, 15.07.2023-19.07.2023. New York: ACM. https://doi.org/10.1145/3583133.3596395


Conference Proceeding

Thomson S, Veerapen N, Ochoa G & van den Berg D (2023) Randomness in Local Optima Network Sampling. In: GECCO ’23 Companion: Genetic and Evolutionary Computation Conference Companion. GECCO '23, Lisbon (hybrid), 15.07.2023-19.07.2023. New York: ACM. https://doi.org/10.1145/3583133.3596309


Book Chapter

Kashyap G, Siddiqui A, Siddiqui R, Malik K, Wazir S & Brownlee A Prediction of Suicidal Risk using Machine Learning Models. In: Research Advances in Intelligent Computing (Volume 2). CRC Press / Yalor and Francis.


See all 471 outputs

Projects (4)

Projects

Participatory Harm Auditing Workbenches and Methodologies
PI: Dr Sandy Brownlee
Funded by: UK Research and Innovation

EXPOWER: EXPOnential Analysis EmPOWERing Innovation
PI: Dr Wen-shin Lee
Funded by: European Commission (Horizon 2020)

Advancing exponential analysis: high-resolution information from sparse and regularly sampled data
PI: Dr Wen-shin Lee
Funded by: The Carnegie Trust

Women in Mathematics Day
PI: Dr Anna Kirpichnikova
Funded by: London Mathematical Society