Publications
ijm,ipg1,caj21,sl4
Recent publications by group members.
- McHale, CT, Cruickshank, S, Torrens, C, Armes, J, Fenlon, D, Banks, E, Kelsey, T & Humphris, GM 2020, 'A controlled pilot trial of a nurse-led intervention (Mini-AFTERc) to manage fear of cancer recurrence in patients affected by breast cancer', Pilot and Feasibility Studies, vol. 6, 60. https://doi.org/10.1186/s40814-020-00610-4
- Nederhof, M-J & Yli-Jyrä, A 2020, 'A derivational model of discontinuous parsing', Information and Computation, vol. In press, 104619. https://doi.org/10.1016/j.ic.2020.104619
- Kuster Filipe Bowles, J & Caminati, MB 2020, A formally verified SMT approach to true concurrency. in F Calimeri, S Perri & E Zumpano (eds), Proceedings of the 35th Italian Conference on Computational Logic - CILC 2020, Rende, Italy, October 13-15, 2020. CEUR Workshop Proceedings, pp. 357-371. <http://ceur-ws.org/Vol-2710/paper23.pdf>
- Belk, M, Fidas, C, Kuster Filipe Bowles, J, Athanasopoulos, E & Pitsillides, A 2020, APPS 2020: Second International Workshop on Adaptive and Personalized Privacy and Security. in Proceedings of the 28th ACM Conference on User Modeling, Adaptation and Personalization (UMAP '20). ACM, New York, pp. 398–399, 28th Conference on User Modeling, Adaptation and Personalization (UMAP '20), Genoa, Italy, 12/07/20. https://doi.org/10.1145/3340631.3398674
- Nearchou, IP, Soutar, DA, Lillard, K, Ueno, H, Arandelovic, O, Harrison, DJ & Caie, PD 2020, 'Abstract LB-368: Applications of automated image analysis, machine learning and spatial statistics for the improvement of stage II colorectal cancer prognosis'. https://doi.org/10.1158/1538-7445.AM2020-LB-368
- Norval, C & Henderson, T 2020, 'Automating dynamic consent decisions for the processing of social media data in health research', Journal of Empirical Research on Human Research Ethics, vol. 15, no. 3, pp. 187-201. https://doi.org/10.1177/1556264619883715
- Thirlwell, A & Arandjelović, O 2020, 'Big data driven detection of trees in suburban scenes using visual spectrum eye level photography', Sensors, vol. 20, no. 11, 3051. https://doi.org/10.3390/s20113051
- Fraser, D, Giaquinta, R, Hoffmann, R, Ireland, M, Miller, A & Norman, G 2020, 'Collaborative models for autonomous systems controller synthesis', Formal Aspects of Computing, vol. 32, no. 2-3, pp. 157–186. https://doi.org/10.1007/s00165-020-00508-1
- Silvina, A, Kuster Filipe Bowles, J & Hall, P 2020, Combining patient pathway visualisation with prediction outcomes for chemotherapy treatments. in S Sendra, Y Murata, J Civit-Masot & A Rajh (eds), 12th International Conference on eHealth, Telemedicine, and Social Medicine (eTELEMED 2020), 21-25 November 2020, Valencia, Spain. eTELEMED the International Conference on eHealth, Telemedicine, and Social Medicine, International Academy, Research, and Industry Association, pp. 110-115, Twelfth International Conference on eHealth, Telemedicine, and Social Medicine (eTELEMED 2020), Valencia, Spain, 21/11/20. <http://www.thinkmind.org/index.php?view=article&articleid=etelemed_2020_7_20_40057>
- Jha, S, Schiemer, M & Ye, J 2020, Continual learning in human activity recognition: an empirical analysis of regularization. in Proceedings of Machine Learning Research. pp. 1-4, Thirty-seventh International Conference on Machine Learning, ICML 2020; ICML Workshop on Continual Learning, 13/07/20.
- Wong, J, Henderson, T & Ball, K 2020, Data Protection for the Common Good: Developing a framework for a data protection-focused data commons. in Data for Policy Conference 2020. https://doi.org/10.5281/zenodo.3965670
- Kuster Filipe Bowles, J, Broccia, G & Nanni, M 2020, DataMod2020: 9th International Symposium From Data to Models and Back. in Proceedings of the 29th ACM International Conference on Information and Knowledge Management (CIKM '20). ACM, New York, pp. 3531–3532, 29th ACM International Conference on Information and Knowledge Management (CIKM2020), Ireland, 19/10/20. https://doi.org/10.1145/3340531.3414073
- Webber dos Santos, TC, Mendoza Santana, JJ, Vermeulen, AF & Kuster Filipe Bowles, J 2020, Designing a patient-centric system for secure exchanges of medical data. in O Gervasi, B Murgante, S Misra, C Garau, I Blečić, D Taniar, BO Apduhan, AMAC Rocha, E Tarantino, CM Torre & Y Karaca (eds), Computational Science and Its Applications – ICCSA 2020: 20th International Conference, Cagliari, Italy, July 1–4, 2020, Proceedings, Part II. Lecture Notes in Computer Science, vol. 12254 (LNCS), Springer, Cham, pp. 598-614, International Conference on Computational Science and Its Applications (ICCSA 2020), Cagliari, Italy, 1/07/20. https://doi.org/10.1007/978-3-030-58817-5_44
- Shaheen, Q, Toniolo, A & Kuster Filipe Bowles, J 2020, Dialogue games for explaining medication choices. in V Gutiérrez Basulto, T Kliegr, A Soylu, M Giese & D Roman (eds), Rules and Reasoning: 4th International Joint Conference, RuleML+RR 2020, Oslo, Norway, June 29–July 1, 2020, Proceedings. Lecture Notes in Computer Science (Programming and Software Engineering), vol. 12173 LNCS, Springer, Cham, pp. 97-111, 4th International Joint Conference on Rules and Reasoning (RCUL+RR 2020), Oslo, Norway, 29/06/20. https://doi.org/10.1007/978-3-030-57977-7_7
- Akgün, Ö, Dang, N, Miguel, I, Salamon, AZ, Spracklen, P & Stone, C 2020, Discriminating instance generation from abstract specifications: a case study with CP and MIP. in E Hebrard & N Musliu (eds), Integration of Constraint Programming, Artificial Intelligence, and Operations Research: 17th International Conference, CPAIOR 2020, Proceedings. vol. 12296, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 12296 LNCS, Springer Science and Business Media, pp. 41-51, 17th International Conference on the Integration of Constraint Programming, Artificial Intelligence, and Operations Research, CPAIOR 2020, Vienna, Austria, 21/09/20. https://doi.org/10.1007/978-3-030-58942-4_3
- Kawamura, K, Kelsey, T & Hiraike, O 2020, 'Editorial: Ovarian ageing: pathophysiology and recent development of maintaining ovarian reserve', Frontiers in Endocrinology, vol. 11, 591764. https://doi.org/10.3389/fendo.2020.591764
- Davidson, E, Akgun, O, Espasa Arxer, J & Nightingale, P 2020, Effective encodings of constraint programming models to SMT. in H Simonis (ed.), Principles and Practice of Constraint Programming: 26th International Conference, CP 2020, Louvain-la-Neuve, Belgium, September 7–11, 2020, Proceedings. Lecture Notes in Computer Science (Programming and Software Engineering), vol. 12333 LNCS, Springer, pp. 143-159, 26th International Conference on Principles and Practice of Constraint Programming (CP 2020), Louvain-la-Neuve, Belgium, 7/09/20. https://doi.org/10.1007/978-3-030-58475-7_9
- Abbara, A, Hunjan, T, Ho, VNA, Clarke, SA, Comninos, AN, Izzi-Engbeaya, C, Ho, TM, Trew, GH, Hramyka, A, Kelsey, T, Salim, R, Humaidan, P, Vuong, LN & Dhillo, WS 2020, 'Endocrine requirements for oocyte maturation following hCG, GnRH agonist and kisspeptin during IVF treatment', Frontiers in Endocrinology, vol. 11, 537205. https://doi.org/10.3389/fendo.2020.537205
- Ye, J & Callus, E 2020, 'Evolving models for incrementally learning emerging activities', Journal of Ambient Intelligence and Smart Environments, vol. 12, no. 4, pp. 313-325. https://doi.org/10.3233/AIS-200566
- Kocak, G, Akgun, O, Guns, T & Miguel, IJ 2020, Exploiting incomparability in solution dominance: improving general purpose constraint-based mining. in G De Giacomo, A Catala, B Dilkina, M Milano, S Barro, A Bugarín & J Lang (eds), ECAI 2020: 24th European Conference on Artificial Intelligence. Frontiers in artificial intelligence and applications, vol. 325, IOS Press, Amsterdam, pp. 331-338, 24th European Conference on Artificial Intelligence (ECAI2020), Santiago de Compostela, Spain, 29/08/20. https://doi.org/10.3233/FAIA200110
- Irvine, C, Balasubramaniam, D & Henderson, T 2020, Integrating the Data Protection Impact Assessment into the Software Development Lifecycle. in Proceedings of the 15th DPM International Workshop on Data Privacy Management.
- Kuster Filipe Bowles, J, Mendoza Santana, JJ & Webber dos Santos, TC 2020, Interacting with next-generation smart patient-centric healthcare systems. in Adjunct Publication of the 28th ACM Conference on User Modeling, Adaptation and Personalization (UMAP '20 Adjunct). ACM, pp. 191–192, 28th Conference on User Modeling, Adaptation and Personalization (UMAP '20), Genoa, Italy, 12/07/20. https://doi.org/10.1145/3386392.3399561
- Phylactou, M, Abbara, A, Al-Memar, M, Eng, PC, Comninos, AN, Izzi-Engbeaya, C, Clarke, SA, Mills, E, Nadir, R, Skyes, M, Ewa, P, Yang, L, Fourie, H, Bech, P, Kelsey, T, Bourne, T & Dhillo, WS 2020, 'Kisspeptin as a biomarker for pregnancy complications', Journal of the Endocrine Society, vol. 4, no. Supplement 1, pp. A534-A535. https://doi.org/10.1210/jendso/bvaa046.1053
- Kelsey, T 2020, 'Kisspeptin as a biomarker for pregnancy complications', European Congress of Endocrinology 2020, 5/09/20 - 9/09/20. https://doi.org/10.1530/endoabs.70.OC9.2
- Kuster Filipe Bowles, J, Silvina, A, Bin, E & Vinov, M 2020, On defining rules for cancer data fabrication. in V Gutiérrez Basulto, T Kliegr, A Soylu, M Giese & D Roman (eds), Rules and Reasoning: 4th International Joint Conference, RuleML+RR 2020, Oslo, Norway, June 29–July 1, 2020, Proceedings. Lecture Notes in Computer Science (Programming and Software Engineering), vol. 12173 LNCS, Springer, Cham, pp. 168-176, 4th International Joint Conference on Rules and Reasoning (RCUL+RR 2020), Oslo, Norway, 29/06/20. https://doi.org/10.1007/978-3-030-57977-7_13
- Schrempf, P, Watson, H, Mikhael, S, Pajak, M, Falis, M, Lisowska, A, Muir, KW, Harris-Birtill, D & O'Neil, AQ 2020, Paying Per-Label Attention for Multi-label Extraction from Radiology Reports. in J Cardoso, H Van Nguyen, N Heller, P Henriques Abreu, I Isgum, W Silva, R Cruz, J Pereira Amorim, V Patel, B Roysam, K Zhou, S Jiang, N Le, K Luu, R Sznitman, V Cheplygina, D Mateus, E Trucco & S Abbasi (eds), Interpretable and Annotation-Efficient Learning for Medical Image Computing. Springer International Publishing, Cham, pp. 277-289. https://doi.org/10.1007/978-3-030-61166-8_29
- Abbara, A, Clarke, S, Brewster, R, Simmonard, A, Eng, PC, Phylactou, M, Papadopoulou, D, Izzi-Engbeaya, C, Sam, A, Jonauskyte, E, Comninos, A, Meeran, K, Kelsey, T & Dhillo, W 2020, 'Pharmacodynamic response to anti-thyroid drugs in Graves’ hyperthyroidism', Frontiers in Endocrinology, vol. 11, 286. https://doi.org/10.3389/fendo.2020.00286
- Holt, D, Linton, S, Neunhoeffer, M, Parker, R, Pfeiffer, M & Roney-Dougal, CM 2020, 'Polynomial-time proofs that groups are hyperbolic', Journal of Symbolic Computation, vol. In press. https://doi.org/10.1016/j.jsc.2020.08.003
- Zhang, L, Arandjelovic, O, Dewar, S, Astell, A, Doherty, G & Ellis, M 2020, 'Quantification of Advanced Dementia Patients' Engagement in Therapeutic Sessions: An Automatic Video Based Approach using Computer Vision and Machine Learning', Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference, vol. 2020, pp. 5785-5788. https://doi.org/10.1109/EMBC44109.2020.9176632
- Andersen, CY, Kelsey, T, Mamsen, L & Vuong, LN 2020, 'Shortcomings of an unphysiological triggering of oocyte maturation using human chorionic gonadotropin', Fertility and Sterility, vol. 114, no. 2, pp. 200-208. https://doi.org/10.1016/j.fertnstert.2020.05.022
- Mansouri Benssassi, E & Ye, J 2020, Synch-Graph: multisensory emotion recognition through neural synchrony via graph convolutional networks. in Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI-2020). AAAI Press, pp. 1-8, Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI-20), New York, United States, 7/02/20.
- Redeker, G & Kuster Filipe Bowles, J 2020, Tackling polypharmacy: a multi-source decision support system. in L Pape-Haugaard, C Lovis, I Corte Madsen, P Weber, PH Nielsen & P Scott (eds), Digital Personalized Health and Medicine : Proceedings of MIE 2020. vol. 270, Studies in Health Technology and Informatics, vol. 270, IOS Press, pp. 688 - 692, 30th Medical Informatics Europe conference (MIE), Geneva, Switzerland, 28/04/20. https://doi.org/10.3233/SHTI200248
- Janjic, V, Kuster Filipe Bowles, J, Vermeulen, AF, Silvina, A, Belk, M, Fidas, C, Pitsillides, A, Kumar, M, Rossborry, M, Vinov, M, Given-Wilson, T, Legay, A, Blackledge, E, Arredouani, R, Stylianou, G & Huang, W 2020, The SERUMS tool-chain: ensuring security and privacy of medical data in smart patient-centric healthcare systems. in Proceedings 2019 IEEE International Conference on Big Data., 9005600, IEEE International Conference on Big Data, IEEE Computer Society, pp. 2726-2735, IEEE Big Data 2019, Los Angeles, United States, 9/12/19. https://doi.org/10.1109/BigData47090.2019.9005600
- Ratcliffe, C & Arandelovic, O 2020, 'Tracking of deformable objects using dynamically and robustly updating pictorial structures', Journal of Imaging, vol. 6, no. 7, 61. https://doi.org/10.3390/jimaging6070061
- Cooper, J & Arandjelovic, O 2020, Understanding ancient coin images. in L Oneto, N Navarin, A Sperduti & D Anguita (eds), Recent Advances in Big Data and Deep Learning. Proceedings of the International Neural Networks Society, vol. 1, Springer, Cham, pp. 330-340, INNS Big Data and Deep Learning , Genova, Italy, 16/04/19. https://doi.org/10.1007/978-3-030-16841-4_34
- Harris-Birtill, D & Harris-Birtill, R 2020, Understanding computation time: a critical discussion of time as a computational performance metric. in J Parker, P Harris & A Misztal (eds), Time in variance: the study of time. vol. 17, The Study of Time, Brill, The 17th triennial conference of the International Society for the Study of Time, California, United States, 23/06/19.
- Rosales Sanabria, A & Ye, J 2020, 'Unsupervised domain adaptation for activity recognition across heterogeneous datasets', Pervasive and Mobile Computing, vol. In press, 101147. https://doi.org/10.1016/j.pmcj.2020.101147
- Jiang, A, Nacenta, M, Terzić, K & Ye, J 2020, Visualization as Intermediate Representations (VLAIR) for human activity recognition. in 14th EAI International Conference on Pervasive Computing Technologies for Healthcare (PervasiveHealth 2020). ACM, 14th EAI International Conference on Pervasive Computing Technologies for Healthcare (EAI PervasiveHealth 2020), Atlanta, United States, 20/03/20. https://doi.org/10.1145/1122445.1122456
- Ye, J, Dobson, SA & Zambonelli, F 2020, 'XLearn: learning activity labels across heterogeneous datasets', ACM Transactions on Intelligent Systems and Technology, vol. 11, no. 2, 17. https://doi.org/10.1145/3368272
- Jeroen Corstjens, Dang, N, Depaire, B, Caris, A & De Causmaeckers, P 2019, 'A combined approach for analysing heuristic algorithms', Journal of Heuristics, vol. 25, no. 10, pp. 591–628. https://doi.org/10.1007/s10732-018-9388-7
- Kuster Filipe Bowles, J & Caminati, MB 2019, An integrated approach to a combinatorial optimisation problem. in W Ahrendt & SL Tapia Tarifa (eds), Integrated Formal Methods: 15th International Conference, IFM 2019, Bergen, Norway, December 2–6, 2019, Proceedings. LNCS edn, Lecture Notes in Computer Science (Programming and Software Engineering), vol. 11918, Springer, Cham, pp. 284-302, 15th International Conference on integrated Formal Methods (iFM 2019), Bergen, Norway, 2/12/19. https://doi.org/10.1007/978-3-030-34968-4_16
- Abbara, A, Eng, PC, Phylactou, M, Clarke, SA, Hunjan, T, Roberts, R, Vimalesvaran, S, Christopoulous, G, Islam, R, Purugganan, K, Comninos, AM, Trew, GH, Salim, R, Hramyka, A, Owens, L, Kelsey, TW & Dhillo, W 2019, 'Anti-Müllerian hormone (AMH) in the diagnosis of menstrual disturbance due to polycystic ovarian syndrome', Frontiers in Endocrinology, vol. 10, 656. https://doi.org/10.3389/fendo.2019.00656
- Caie, PD, Dimitriou, N, Nearchou, IP, Arandelovic, O & Harrison, DJ 2019, 'Artificial intelligence driving automated pathology: iCAIRD and beyond', 31 st European Congress of Pathology, Nice, France, 7/09/19 - 11/09/19 pp. 1–436. https://doi.org/10.1007/s00428-019-02631-8
- Attieh, S, Dang, N, Jefferson, C, Miguel, I & Nightingale, P 2019, Athanor: high-level local search over abstract constraint specifications in Essence. in S Kraus (ed.), Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence (IJCAI-19). International Joint Conferences on Artificial Intelligence, pp. 1056-1063, Twenty-Eighth International Joint Conference on Artificial Intelligence (IJCAI-19), Macao, China, 10/08/19. https://doi.org/10.24963/ijcai.2019/148
- Spracklen, P, Dang, N, Akgun, O & Miguel, IJ 2019, Automatic streamlining for constrained optimisation. in T Schiex & S de Givry (eds), Principles and Practice of Constraint Programming: 25th International Conference, CP 2019, Stamford, CT, USA, September 30 – October 4, 2019, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 11802 LNCS, Springer, Cham, pp. 366-383, 25th International Conference on Principles and Practice of Constraint Programming (CP 2019), Stamford, United States, 30/09/19. https://doi.org/10.1007/978-3-030-30048-7_22
- Bowles, JKF & Caminati, MB 2019, Balancing prescriptions with constraint solvers. in P Liò & P Zuliani (eds), Automated Reasoning for Systems Biology and Medicine. Computational Biology, vol. 30, Springer, Cham, pp. 243-267. https://doi.org/10.1007/978-3-030-17297-8_9
- Mamsen, LS, Charkiewicz, K, Anderson, RA, Telfer, EE, McLaughlin, M, Kelsey, TW, Kristensen, SG, Gook, DA, Ernst, E & Andersen, CY 2019, 'Characterization of follicles in girls and young women with Turner syndrome who underwent ovarian tissue cryopreservation', Fertility and Sterility, vol. 111, no. 6, pp. 1217-1225.e3. https://doi.org/10.1016/j.fertnstert.2019.02.003
- Varghese, B, Akgun, O, Miguel, IJ, Thai, LT & Barker, AD 2019, 'Cloud benchmarking for maximising performance of scientific applications', IEEE Transactions on Cloud Computing, vol. 7, no. 1, 7553491, pp. 170-182. https://doi.org/10.1109/TCC.2016.2603476
- Yue, X, Dimitriou, N, Caie, P, Harrison, D & Arandjelovic, O 2019, Colorectal cancer outcome prediction from H&E whole slide images using machine learning and automatically inferred phenotype profiles. in O Eulenstein, H Al-Mubaid & Q Ding (eds), Proceedings of 11th International Conference on Bioinformatics and Computational Biology, BICOB 2019: Honolulu; United States; 18 March 2019 through 20 March 2019. EPiC Series in Computing, vol. 60, EasyChair, pp. 139-127, 11th International Conference on Bioinformatics and Computational Biology (BICOB), Honolulu, United States, 18/03/19. https://doi.org/10.29007/n912
- Kuster Filipe Bowles, J & Munbodh, R 2019, Computer aided verification of radiotherapy treatment plans. in Medical Physics. vol. 46, Wiley/American Association of Physicists in Medicine, 61st American Association of Physicists in Medicine Annual Meeting (AAPM 2019), San Antonio, United States, 14/07/19. https://doi.org/10.1002/mp.13589
- Henderson, T & Schafer, B 2019, Data Protection, certification and the fourth industrial revolution. in RM Ballardini, O Pitkänen & P Kuommamäki (eds), Regulating Industrial Internet through IPR, Data Protection and Competition Law. Kluwer Law International, Alphen aan den Rijn, The Netherlands.
- Carneiro, G, Nacenta, M, Toniolo, A, Mendez, GG & Quigley, AJ 2019, 'Deb8: collaborative fact checking', Paper presented at HCI for Accurate, Impartial and Transparent Journalism: Challenges and Solutions, Glasgow, United Kingdom, 5/05/19 - 5/05/19.
- Carneiro, G, Nacenta, M, Toniolo, A, Mendez, G & Quigley, AJ 2019, Deb8: a tool for collaborative analysis of video. in Proceedings of the 2019 ACM International Conference on Interactive Experiences for TV and Online Video (TVX '19). ACM, pp. 47-58, ACM TVX 2019, Manchester, United Kingdom, 5/06/19. https://doi.org/10.1145/3317697.3323358
- Dimitriou, N, Arandjelović, O & Caie, PD 2019, 'Deep learning for whole slide image analysis: an overview', Frontiers in Medicine, vol. 6, 264. https://doi.org/10.3389/fmed.2019.00264
- Walton, D, Toniolo, A & Norman, TJ 2019, 'Dialectical models of deliberation, problem solving and decision making', Argumentation, vol. First Online. https://doi.org/10.1007/s10503-019-09497-9
- Fang, L, Ye, J & Dobson, SA 2019, Distributed self-monitoring sensor networks via Markov switching Dynamic Linear Models. in Proceedings 2019 IEEE 13th International Conference on Self-Adaptive and Self-Organizing Systems (SASO 2019)., 8780572, IEEE Computer Society, pp. 33-42, 13th IEEE International Conference on Self-Adaptive and Self-Organizing Systems (SASO 2019), Umeå, Sweden, 16/06/19. https://doi.org/10.1109/SASO.2019.00014
- Abbara, A, Patel, AH, Hunjan, T, Clarke, S, Chia, G, Eng, PC, Phylactou, M, Comninos, A, Lavery, S, Trew, G, Salim, R, Rai, R, Kelsey, TW & Dhillo, W 2019, 'FSH requirements for follicle growth during controlled ovarian stimulation', Frontiers in Endocrinology, vol. 10, 579. https://doi.org/10.3389/fendo.2019.00579
- Mamsen, LS, Anderson, RA, Telfer, EE, McGlaughlin, M, Kelsey, TW, Ernst, E, Macklon, KT, Lund, AM, Kristensen, SG, Gook, DA & Andersen, CY 2019, 'Fertility preservation by ovarian tissue freezing in patients with genetic and chromosomal disorders', European Society of Human Reproduction and Embryology 35th Annual Meeting, Vienna, Austria, 23/06/19 - 26/06/19. <https://www.eshre.eu/ESHRE2019/Programme/Searchable#!abstractdetails/0000573920>
- The GAP Group, Behrends, R, Breuer, T, Horn, M, Hulpke, A, Jefferson, CA, Konovalov, A, Linton, SA, Lübeck, F, Mitchell, JD, Pfeiffer, MJ, Siccha, S & Torpey, MC, GAP – Groups, Algorithms, and Programming, Version 4.10.1, 2019, Software. <https://www.gap-system.org/Releases/4.10.1.html>
- The GAP Group, Behrends, R, Breuer, T, Horn, M, Hulpke, A, Jefferson, CA, Konovalov, A, Linton, SA, Lübeck, F, Mitchell, JD, Pfeiffer, MJ, Siccha, S & Torpey, MC, GAP – Groups, Algorithms, and Programming, Version 4.10.2, 2019, Software. <https://www.gap-system.org/Releases/4.10.2.html>
- Zhu, X, Nacenta, M, Akgün, Ö & Nightingale, PW 2019, 'How people visually represent discrete constraint problems', IEEE Transactions on Visualization and Computer Graphics, vol. Early Access, pp. 1-14. https://doi.org/10.1109/TVCG.2019.2895085
- Konovalov, A & Torpey, MC 2019, 'How to learn GAP - an open source software system for discrete computational mathematics', School of Mathematics and Statistics Research Day, St Andrews, 24/01/19 - 24/01/19. <https://doi.org/10.6084/m9.figshare.7623872.v1>
- Dang, N & Doerr, C 2019, Hyper-parameter tuning for the (1+ (λ, λ)) GA. in Proceedings of the Genetic and Evolutionary Computation Conference (GECCO '19). ACM, New York, pp. 889-897, The Genetic and Evolutionary Computation Conference (GECCO 2019 @ Prague), Prague, Czech Republic, 13/07/19. https://doi.org/10.1145/3321707.3321725
- Akgun, O, Dang, N, Miguel, IJ, Salamon, AZ & Stone, CL 2019, Instance generation via generator instances. in T Schiex & S de Givry (eds), Principles and Practice of Constraint Programming: 25th International Conference, CP 2019, Stamford, CT, USA, September 30 – October 4, 2019, Proceedings. Lecture Notes in Computer Science (Programming and Software Engineering), vol. 11802, Springer, Cham, pp. 3-19, 25th International Conference on Principles and Practice of Constraint Programming (CP 2019), Stamford, United States, 30/09/19. https://doi.org/10.1007/978-3-030-30048-7_1
- Phylactou, M, Abbara, A, Al-Memar, M, Chia Eng, P, Comninos, AN, Izzi-Engbeaya, C, Clarke, SA, Mills, E, Nadir, R, Sykes, M, Pacuszka, E, Yang, L, Fourie, H, Bech, P, Kelsey, T, Bourne, T & Dhillo, WS 2019, Kisspeptin as a novel biomarker for pregnancy complications. in Endocrine Abstracts., OP5.4, Endocrine Abstracts, vol. 65, BioScientifica Ltd., Society for Endocrinology BES 2019, Brighton, United Kingdom, 11/11/19. https://doi.org/10.1530/endoabs.65.OP5.4
- Appelgren, M, Schrempf, P, Falis, M, Ikeda, S & O'Neil, AQ 2019, 'Language transfer for early warning of epidemics from social media', Paper presented at Artificial Intelligence for Humanitarian Assistance and Disaster Response, Vancouver, Canada, 13/12/19. <https://arxiv.org/abs/1910.04519>
- Baker, J, Erdmann, C, Dennis, T, Heggø, DM, Leinweber, K, [Unknown], H, Capes, G, [Unknown], J, Oliver, J, Duckles, J, [Unknown], B, Mendes, A, Conrado, AC, Weaver, B, Williamson, E, Lessing, I, Marwaha, K, Lascarides, M, Hayslett, M, Lilleberg, T, Devenyi, G, Srinath, A, [Unknown], C, Silva, R, [Unknown], C, Becker, EA, Emonet, R, Sauze, C, Jankowski, E, Guillou, S, Szamosi, JC, Srinath, A, Bryk, J, Burle, M-H, Lim, M, Leak, S, Mentzel, C, Buckley, KM, [Unknown], L, Robinson, M, Feller, M, Fritz, M, Soranzo, N, Ullah, R, Steltenpool, R, Mey, Y, Kassil, A, Morley, A, Denisenko, E, Burns, H, Burkhardt, H, Williams, J, Macklin, J, shaikh, R, Mellan, T, Huffman, A, Konovalov, A, Reid, A, McRae, ATT, Rokem, A, Atmaja, BT, Bolker, B, Gabriel, B, Ballsun-Stanton, B, Bridges, D, McKain, D, Lituiev, D, [Unknown], E, [Unknown], E, Shamma, F, Profiti, G, Linde, IVD, Rantaharju, J, Guelfi, J, Pellman, J, Gouw, M, Zingale, M, Henry, M, Oneka, M, Hoggett, M, Barral, N, Brenowitz, ND, Kaluza, O, McCann, P, Hoyt, P, [Unknown], S, Schmeing, S, Jones, S, Miller, SJ, Dowrick, T, Koppejan, V & Chhatre, V 2019, LibraryCarpentry/lc-shell: Library Carpentry: Introduction to the Shell for librarians, June 2019.. https://doi.org/10.5281/zenodo.3266085
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