Items where Division is "College of Engineering & Physical Sciences > School of Computer Science and Digital Technologies > Applied AI & Robotics" and Year is 2023

A

Alamino, Roberto C. and Nunes, Breno (2023). Collapse and the interplay between essentiality and impact in socioecological systems. Physical Review E - Statistical, Nonlinear, and Soft Matter Physics, 107 (5),

Ashford, Jodie S.M. (2023). Enhancing Linear B-cell Epitope Prediction Through Organism-Specific Training. PHD thesis, Aston University.

B

Basu, Nabanita, Weber, Philip, Bali, Agnes S, Rosas-Aguilar, Claudia, Edmond, Gary, Martire, Kristy A and Morrison, Geoffrey Stewart (2023). Speaker identification in courtroom contexts – Part II: Investigation of bias in individual listeners’ responses. Forensic Science International, 349 ,

C

Campelo, Felipe and Aranha, Claus (2023). Lessons from the Evolutionary Computation Bestiary. Artificial Life, 29 (4), pp. 421-432.

F

Farhadi, Farzaneh, Chli, Maria and Jennings, Nicholas R. (2023). Optimal and Efficient Auctions for the Gradual Procurement of Strategic Service Provider Agents. Journal of Artificial Intelligence Research, 76 , pp. 959-1018.

H

Hamilton, John rego, Ekárt, Anikó and Patelli, Alina (2023). Predicting Normal and Anomalous Urban Traffic with Vectorial Genetic Programming and Transfer Learning. IN: International Conference on the Applications of Evolutionary Computation (Part of EvoStar). Correia, João; Smith, Stephen and Qaddoura, Raneem (eds) Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (1). Springer, Cham.

Hongo, Jorge Augusto, Marques de Castro, Giovanni, Menezes, Alison, Picorelli, Agnello, Martins da Silva, Thieres, Imada, Eddie Luidy, Marchionni, Luigi, Del-Bem, Luiz Eduardo, Chaves, Anderson, Almeida, Gabriel, Campelo, Felipe and Lobo, Francisco (2023). CALANGO: a phylogeny-aware comparative genomics tool for discovering quantitative genotype-phenotype associations across species. Patterns ,

M

Marcelino, C. G., Pérez-Aracil, J., Wanner, E. F., Jiménez-Fernández, S., Leite, G. M.C. and Salcedo-Sanz, S. (2023). Cross-entropy boosted CRO-SL for optimal power flow in smart grids. Soft computing, 27 (10), pp. 6549-6572.

Marcelino, C.G., Leite, G.M.C., Wanner, E.F., Jiménez-Fernández, S. and Salcedo-Sanz, S. (2023). Evaluating the use of a Net-Metering mechanism in microgrids to reduce power generation costs with a swarm-intelligent algorithm. Energy, 266 ,

Marques de Castro, Giovanni, Campelo, Felipe and Lobo, Francisco (2023). Why are some plants taller? Researchers on the unveiling of genetic variation associated with complex quantitative phenotypes. Patterns, 4 (6),

Moore, Jared and Stanton, Adam (2023). Fitness Agnostic Adaptive Sampling Lexicase Selection. IN: Proceedings of the 2023 Conference on Artificial Life. Artificial Life Conference Proceedings . JPN: MIT Press.

N

Nunes, Breno, Alamino, Roberto C., Bennett, David and Brem, Alexander (2023). An Introduction to Product Essentiality: Conceptualisation and Measurement. Technology Analysis and Strategic Management ,

R

Rodriguez-Criado, Daniel (2023). Deep Learning in Graph Domains for Sensorised Environments. PHD thesis, Aston University.

Rudra, Sumitra, Foster, Damien Paul and Kumar, Sanjay (2023). Critical behavior of magnetic polymers on the three-dimensional Sierpiński Gasket. Physical Review E, 108 (4),

S

Saunders, Kieran, Vogiatzis, George and Manso, Luis J. (2023). Self-supervised Monocular Depth Estimation: Let’s Talk About the Weather. IN: Proceedings of the 2023 International Conference on Computer Vision. FRA: IEEE.

X

Xie, Qian, Cheng, Ta-Ying, Dai, Zhuangzhuang, Tran, Vu, Trigoni, Niki and Markham, Andrew (2023). Illumination-Aware Hallucination-Based Domain Adaptation for Thermal Pedestrian Detection. IEEE Transactions on Intelligent Transportation Systems ,

Z

Zampieri, Marcos, Morgan, Skye, North, Kai, Ranasinghe, Tharindu, Simmons, Austin, Khandelwal, Paridhi, Rosenthal, Sara and Nakov, Preslav (2023). Target-Based Offensive Language Identification. IN: Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics. Proceedings of the Annual Meeting of the Association for Computational Linguistics, 2 . CAN: Association for Computational Linguistics (ACL).

Zampieri, Marcos, Ranasinghe, Tharindu, Sarkar, Diptanu and Ororbia, Alex (2023). Offensive language identification with multi-task learning. Journal of Intelligent Information Systems, 60 (3), pp. 613-630.

Zampieri, Marcos, Rosenthal, Sara, Nakov, Preslav, Dmonte, Alphaeus and Ranasinghe, Tharindu (2023). OffensEval 2023: Offensive language identification in the age of Large Language Models. Natural Language Engineering, 29 (6), 1416 - 1435.