Publications
ijm,ipg1,caj21,sl4
Recent publications by group members.
- Kuster Filipe Bowles, J, Czekster, R, Redeker, GA & Webber, T 2021, A simulation study on demand disruptions and limited resources for healthcare provision. in J Bowles, G Broccia & M Nanni (eds), From Data to Models and Back: 9th International Symposium, DataMod 2020, Virtual Event, October 20, 2020, Revised Selected Papers. Lecture Notes in Computer Science, vol. 12611, Springer, Cham, pp. 87-103. https://doi.org/10.1007/978-3-030-70650-0_6
- Silvina, A, Redeker, GA, Webber, T & Kuster Filipe Bowles, J 2021, A simulation-based approach for the behavioural analysis of cancer pathways. in J Bowles, G Broccia & M Nanni (eds), From Data to Models and Back: 9th International Symposium, DataMod 2020, Virtual Event, October 20, 2020, Revised Selected Papers. Lecture Notes in Computer Science, vol. 12611, Springer, Cham, pp. 57-71. https://doi.org/10.1007/978-3-030-70650-0_4
- Shaheen, Q, Toniolo, A & Kuster Filipe Bowles, J 2021, Argumentation-based explanations of multimorbidity treatment plans. in T Uchiya, Q Bai & IM Maestre (eds), PRIMA 2020: Principles and Practice of Multi-Agent Systems: 23rd International Conference, Nagoya, Japan, November 18–20, 2020, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 12568 LNCS, Springer, Cham, pp. 394-402, 23rd International Conference on Principles and Practice of Multi-Agent Systems, PRIMA 2020, 18/11/20. https://doi.org/10.1007/978-3-030-69322-0_29
- Gavriel, C, Dimitriou, N, Brieu, N, Nearchou, IP, Arandelovic, O, Schmidt, G, Harrison, DJ & Caie, PD 2021, 'Assessment of immunological features in muscle-invasive bladder cancer prognosis using ensemble learning', Cancers, vol. 13, no. 7, 1624. https://doi.org/10.3390/cancers13071624
- Phylactou, M, Clarke, SA, Patel, B, Baggaley, C, Jayasena, CN, Kelsey, T, Comninos, AN, Dhillo, WS & Abbara, A 2021, 'Clinical and biochemical discriminants between Functional Hypothalamic Amenorrhoea (FHA) and Polycystic Ovary Syndrome (PCOS)', Clinical Endocrinology, vol. Early View. https://doi.org/10.1111/cen.14402
- Ye, J, Nakwijit, P, Schiemer, M, Jha, S & Zambonelli, F 2021, 'Continual activity recognition with generative adversarial networks', ACM Transactions on Internet of Things, vol. 2, no. 2, 9, pp. 1-25. https://doi.org/10.1145/3440036
- Koudouna, D & Terzić, K 2021, Few-shot linguistic grounding of visual attributes and relations using gaussian kernels. in GM Farinella, P Radeva, J Braz & K Bouatouch (eds), Proceedings of the 16th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - (Volume 5). vol. 5 VISAPP, SCITEPRESS - Science and Technology Publications, pp. 146-156, 16th International Conference on Computer Vision Theory and Applications (VISAPP 2021), 8/02/21. https://doi.org/10.5220/0010261301460156
- 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 4.11.1, 2021, Software. <https://www.gap-system.org/Releases/4.11.1.html>
- Mansouri Benssassi, E & Ye, J 2021, 'Generalisation and robustness investigation for facial and speech emotion recognition using bio-inspired spiking neural networks', Soft Computing, vol. First Online. https://doi.org/10.1007/s00500-020-05501-7
- Munbodh, R, Kuster Filipe Bowles, J & Zaveri, H 2021, 'Graph-based risk assessment and error detection in radiation therapy', Medical Physics, vol. Early View. https://doi.org/10.1002/mp.14666
- Rahman, F & Kuster Filipe Bowles, J 2021, Semantic annotations in clinical guidelines. in J Bowles, G Broccia & M Nanni (eds), From Data to Models and Back: 9th International Symposium, DataMod 2020, Virtual Event, October 20, 2020, Revised Selected Papers. Lecture Notes in Computer Science, vol. 12611, Springer, Cham, pp. 190-205. https://doi.org/10.1007/978-3-030-70650-0_12
- Ye, J 2021, 'Shared learning activity labels across heterogeneous datasets', Journal of Ambient Intelligence and Smart Environments, vol. Pre-press, pp. 1-18. https://doi.org/10.3233/AIS-210590
- Huczynska, S, Jefferson, C & Nepšinská, S 2021, 'Strong external difference families in abelian and non-abelian groups', Cryptography and Communications , vol. First Online. https://doi.org/10.1007/s12095-021-00473-3
- Schrempf, P, Watson, H, Park, E, Pajak, M, MacKinnon, H, Muir, KW, Harris-Birtill, D & O’Neil, AQ 2021, 'Templated text synthesis for expert-guided multi-label extraction from radiology reports', Machine Learning and Knowledge Extraction, vol. 3, no. 2, pp. 299-317. https://doi.org/10.3390/make3020015
- Kelsey, T, Hua, C-H & Wallace, WHB 2021, The effect of radiotherapy on the human reproductive system. in J Donnez & SS Kim (eds), Fertility Preservation: Principles and Practice. 2 edn, Cambridge University Press, pp. 18-24. https://doi.org/10.1017/9781108784368.004
- Greiver, M, Havard, A, Bowles, JKF, Kalia, S, Chen, T, Aliarzadeh, B, Moineddin, R, Sherlock, J, Hinton, W, Sullivan, F, O'Neill, B, Pow, C, Bhatt, A, Rahman, F, Meza-Torres, B, Litchfield, M & de Lusignan, S 2021, 'Trends in diabetes medication use in Australia, Canada, England, and Scotland: A repeated cross-sectional analysis in primary care', British Journal of General Practice, vol. 71, no. 704, pp. E209-E218. https://doi.org/10.3399/bjgp20X714089
- Greiver, M, Havard, A, Kuster Filipe Bowles, J, Kalia, S, Chen, T, Aliarzadeh, B, Moineddin, R, Sherlock, J, Hinton, W, Sullivan, F, O'Neill, B, Pow, C, Bhatt, A, Rahman, F, Meza-Torres, B, Litchfield, M & de Lusignan, S 2021, 'Trends in diabetes medication use in Canada, England, Scotland and Australia: a repeated cross-sectional analysis (2012-2017)', British Journal of General Practice, vol. 71, no. 704, pp. e209-e218. https://doi.org/10.3399/bjgp20X714089
- Rosales Sanabria, A, Zambonelli, F & Ye, J 2021, 'Unsupervised domain adaptation in activity recognition: a GAN-based approach', IEEE Access, vol. 9, pp. 19421-19438. https://doi.org/10.1109/ACCESS.2021.3053704
- Beg, M, Belin, J, Kluyver, T, Konovalov, A, Ragan-Kelley, M, Thiery, N & Fangohr, H 2021, 'Using Jupyter for reproducible scientific workflows', Computing in Science and Engineering, vol. Early Access. https://doi.org/10.1109/MCSE.2021.3052101
- 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>
- Borchers, DL, Nightingale, P, Stevenson, BC & Fewster, RM 2020, 'A latent capture history model for digital aerial surveys', Biometrics, vol. Early View. https://doi.org/10.1111/biom.13403
- 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
- Stefani, A, Rahmat, R & Harris-Birtill, DCC 2020, Autofocus Net: Auto-focused 3D CNN for Brain Tumour Segmentation. in In Annual Conference on Medical Image Understanding and Analysis: Part of the Communications in Computer and Information Science book series (CCIS). vol. 1248, Springer, pp. 43-55. <https://link.springer.com/chapter/10.1007/978-3-030-52791-4_4>
- 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
- Akgun, O & Espasa Arxer, J, CP2020-SRSMT, 2020, Software, GitHub. <https://github.com/stacs-cp/CP2020-SRSMT>
- 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. Data for Policy. 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, Vienna, Austria, September 21–24, 2020, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 12296 LNCS, Springer, Cham, pp. 41-51, 17th International Conference on the Integration of Constraint Programming, Artificial Intelligence, and Operations Research, CPAIOR 2020, Vienna, Online, 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
- 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 4.11.0, 2020, Software. <https://www.gap-system.org/Releases/4.11.0.html>
- Pitcher, MJ, Dobson, SA, Kelsey, T, Chaplain, MAJ, Sloan, DJ, Gillespie, SH & Bowness, R 2020, 'How mechanistic in silico modelling can improve our understanding of TB disease and treatment', International Journal of Tuberculosis and Lung Disease, vol. 24, no. 11, pp. 1145-1150. https://doi.org/10.5588/ijtld.20.0107
- Kuster Filipe Bowles, J, Mendoza Santana, JJ, Vermeulen, AF, Webber dos Santos, TC & Blackledge, E 2020, Integrating healthcare data for enhanced citizen-centred care and analytics. in M Hägglund, P Gallos, K Häyrinen, K Saranto, P Scott, A Värri, J Delgado, U-M Kinnunen, LB Pape-Haugaard & L-M Peltonen (eds), Integrated Citizen Centered Digital Health and Social Care: Citizens as Data Producers and Service co-Creators. Studies in Health Technology and Informatics, vol. 275, IOS Press, pp. 17-21, EFMI 2020 Special Topic Conference, 26/11/20. https://doi.org/10.3233/SHTI200686
- 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: Third International Workshop, iMIMIC 2020, Second International Workshop, MIL3iD 2020, and 5th International Workshop, LABELS 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 4–8, 2020, Proceedings. Lecture Notes in Computer Science (including subseries Image Processing, Computer Vision, Pattern Recognition, and Graphics), vol. 12446 LNCS, Springer, Cham, pp. 277-289, MICCAI Workshop on Large-scale Annotation of Biomedical data and Expert Label Synthesis 2020, Peru, 8/10/20. 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 2021, 'Polynomial-time proofs that groups are hyperbolic', Journal of Symbolic Computation, vol. 104, pp. 419-475. 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. in 42ND ANNUAL INTERNATIONAL CONFERENCES OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY: ENABLING INNOVATIVE TECHNOLOGIES FOR GLOBAL HEALTHCARE EMBC'20. IEEE Engineering in Medicine and Biology Society Conference Proceedings, IEEE, pp. 5785-5788, 42nd Annual International Conference of the IEEE-Engineering-in-Medicine-and-Biology-Society (EMBC), Montreal, Canada, 20/07/20.
- 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. in 2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC). vol. 2020, Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference, IEEE, pp. 5785-5788, 42nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) in conjunction with the 43rd Annual Conference of the Canadian Medical and Biological Engineering Society (EMBC 2020) , Montreal, Canada, 20/07/20. https://doi.org/10.1109/EMBC44109.2020.9176632
- Walton, D & Toniolo, A 2020, Responsible agent deliberation. in CD Novaes, H Jansen, JA van Laar & B Verheij (eds), Reason to Dissent: Proceedings of the 3rd European Conference on Argumentation, Volume . College Publications, pp. 391-405, 3rd European Conference on Argumentation 2019, Groningen, Netherlands, 24/06/19.
- Ye, J, O’Grady, M & Banos, O 2020, 'Sensor technology for smart homes', Sensors, vol. 20, no. 24, 7046. https://doi.org/10.3390/s20247046
- Irvine, C, Balasubramaniam, D & Henderson, T 2020, Short paper: Integrating the data protection impact assessment into the software development lifecycle. in J Garcia-Alfaro, G Navarro-Arribas & J Herrera-Joancomarti (eds), Data Privacy Management, Cryptocurrencies and Blockchain Technology: ESORICS 2020 International Workshops, DPM 2020 and CBT 2020, Guildford, UK, September 17–18, 2020, Revised Selected Papers. Lecture Notes in Computer Science (including subseries Security and Cryptology), vol. 12484 LNCS, Springer, Cham, pp. 219-228. https://doi.org/10.1007/978-3-030-66172-4_13
- 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 AAAI Conference on Artificial Intelligence (AAAI-20). Proceedings of the AAAI Conference on Artificial Intelligence, AAAI Press, pp. 1351-1358, Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI-20), New York, United States, 7/02/20. https://doi.org/10.1609/aaai.v34i02.5491
- 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 SA Munson & SM Schueller (eds), PervasiveHealth '20: Proceedings of the 14th EAI International Conference on Pervasive Computing Technologies for Healthcare. ACM, pp. 201-210, 14th EAI International Conference on Pervasive Computing Technologies for Healthcare (EAI PervasiveHealth 2020), Atlanta, United States, 6/10/20. https://doi.org/10.1145/3421937.3422015
- 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
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