Article
Predicting book sales trend using deep learning framework
Feng TQ, Choy M & Laik MN (2020) Predicting book sales trend using deep learning framework. International Journal of Advanced Computer Science and Applications, 11 (2), pp. 28-39. https://doi.org/10.14569/IJACSA.2020.0110205
Conference Paper (published)
Injecting Shortcuts for Faster Running Java Code
Brownlee AEI, Petke J & Rasburn AF (2020) Injecting Shortcuts for Faster Running Java Code. In: 2020 IEEE Congress on Evolutionary Computation (CEC). IEEE World Congress on Computational Intelligence, Glasgow, 19.07.2020-24.07.2020. Piscataway, NJ, USA: IEEE, pp. 1-8. https://wcci2020.org/; https://doi.org/10.1109/CEC48606.2020.9185708
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An investigation of citizen's e-participation within Oman's police department Facebook page
Dalwai T, James M, Webster W, Alshukaili AM & Soosaimanickam A (2020) An investigation of citizen's e-participation within Oman's police department Facebook page. In: Santos H, Viale Pereira G, Budde M, Lopes SF & Nikolic P (eds.) Science and Technologies for Smart Cities. SmartCity 360 2019. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, 323. International Summit Smart City 360, Braga, Portugal, 04.12.2019-06.12.2019. Cham, Switzerland: Springer, pp. 236-248. https://doi.org/10.1007/978-3-030-51005-3_21
Article
VEXPA: Validated EXPonential Analysis through regular sub-sampling
Briani M, Cuyt A, Knaepkens F & Lee W (2020) VEXPA: Validated EXPonential Analysis through regular sub-sampling. Signal Processing, 177, Art. No.: 107722. https://doi.org/10.1016/j.sigpro.2020.107722
Article
Optimising efficacy of antibiotics against systemic infection by varying dosage quantities and times
Hoyle A, Cairns D, Paterson I, McMillan S, Ochoa G & Desbois AP (2020) Optimising efficacy of antibiotics against systemic infection by varying dosage quantities and times. PLoS Computational Biology, 16 (8), Art. No.: e1008037. https://doi.org/10.1371/journal.pcbi.1008037
Book Chapter
Finding the Maximal Independent Sets of a Graph Including the Maximum Using a Multivariable Continuous Polynomial Objective Optimization Formulation
Heal M & Li J (2020) Finding the Maximal Independent Sets of a Graph Including the Maximum Using a Multivariable Continuous Polynomial Objective Optimization Formulation. In: Arai K, Kapoor S & Bhatia R (eds.) Intelligent Computing. SAI 2020. Advances in Intelligent Systems and Computing, 1228. Cham, Switzerland: Springer International Publishing, pp. 122-136. https://doi.org/10.1007/978-3-030-52249-0_9
Article
A Novel Fuzzy Multilayer Perceptron (F-MLP) for the Detection of Irregularity in Skin Lesion Border Using Dermoscopic Images
Ali A, Li J, Kanwal S, Yang G, Hussain A & O'Shea SJ (2020) A Novel Fuzzy Multilayer Perceptron (F-MLP) for the Detection of Irregularity in Skin Lesion Border Using Dermoscopic Images. Frontiers in Medicine, 7, Art. No.: 297. https://doi.org/10.3389/fmed.2020.00297
Article
A machine learning approach to automatic detection of irregularity in skin lesion border using dermoscopic images
Ali A, Li J, Yang G & Jane O’Shea S (2020) A machine learning approach to automatic detection of irregularity in skin lesion border using dermoscopic images. PeerJ Computer Science, 6, Art. No.: e268. https://doi.org/10.7717/peerj-cs.268
Article
Predictability analysis of the Pound's Brexit exchange rates based on Google Trends data
Mavragani A, Gkillas K & Tsagarakis KP (2020) Predictability analysis of the Pound's Brexit exchange rates based on Google Trends data. Journal of Big Data, 7 (1), Art. No.: 79. https://doi.org/10.1186/s40537-020-00337-2
Conference Paper (published)
Global Landscape Structure and the Random MAX-SAT Phase Transition
Ochoa G, Chicano F & Tomassini M (2020) Global Landscape Structure and the Random MAX-SAT Phase Transition. In: Bäck T, Preuss M, Deutz A, Wang H, Doerr C, Emmerich M & Trautmann H (eds.) Parallel Problem Solving from Nature. Lecture Notes in Computer Science. PPSN 2020: Conference on Parallel Problem Solving from Nature, Leiden, The Netherlands, 05.09.2020-09.09.2020. Cham, Switzerland: Springer International Publishing, pp. 125-138. https://doi.org/10.1007/978-3-030-58115-2_9
Conference Paper (published)
Towards Open-Set Semantic Segmentation of Aerial Images
da Silva CCV, Nogueira K, Oliveira HN & dos Santos JA (2020) Towards Open-Set Semantic Segmentation of Aerial Images. In: 2020 IEEE Latin American GRSS and ISPRS Remote Sensing Conference, LAGIRS 2020. IEEE Latin American GRSS & ISPRS Remote Sensing Conference (LAGIRS 2020), Santiago, Chile, 21.03.2020-26.03.2020. Piscataway, NJ, USA: Institute of Electrical and Electronics Engineers Inc. pp. 16-21. https://doi.org/10.1109/LAGIRS48042.2020.9165597
Article
Adversarial behaviours in mixing coins under incomplete information
Wang Y, Bracciali A, Yang G, Li T & Yu X (2020) Adversarial behaviours in mixing coins under incomplete information. Applied Soft Computing, 96, Art. No.: 106605. https://doi.org/10.1016/j.asoc.2020.106605
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Genetic improvement: Taking real-world source code and improving it using genetic programming
Haraldsson SO, Woodward JR & Wagner M (2020) Genetic improvement: Taking real-world source code and improving it using genetic programming. In: 2020 Genetic and Evolutionary Computation Conference, GECCO 2020. 2020 Genetic and Evolutionary Computation Conference, Cancun, Mexico, 08.07.2020-12.07.2020. New York: ACM, pp. 801-831. https://doi.org/10.1145/3377929.3389885
Conference Paper (published)
Optimising Antibiotic Treatments with Multi-objective Population-based Algorithms
Goranova M, Contreras-Cruz MA, Hoyle A & Ochoa G (2020) Optimising Antibiotic Treatments with Multi-objective Population-based Algorithms. In: CEC 2020: Congress on Evolutionary Computation. 2020 IEEE Congress on Evolutionary Computation (CEC), Glasgow, United Kingdom, 19.07.2020-24.07.2020. Piscataway, NJ, USA: IEEE. https://doi.org/10.1109/cec48606.2020.9185489
Book Chapter
Lessons from Expert Focus Groups on how to Better Support Adults with Mild Intellectual Disabilities to Engage in Co-Design
Colin Gibson R, D Dunlop M & Bouamrane M (2020) Lessons from Expert Focus Groups on how to Better Support Adults with Mild Intellectual Disabilities to Engage in Co-Design. In: Guerreiro T, Nicolau H & Moffatt K (eds.) ASSETS '20: Proceedings of the 22nd International ACM SIGACCESS Conference on Computers and Accessibility. New York: ACM, pp. 1 - 12. https://doi.org/10.1145/3373625.3417008
Book Chapter
Designing Clinical AAC Tablet Applications with Adults who have Mild Intellectual Disabilities
Gibson RC, Dunlop MD, Bouamrane M & Nayar R (2020) Designing Clinical AAC Tablet Applications with Adults who have Mild Intellectual Disabilities. In: CHI '20: Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems. New York: ACM, pp. 1 - 13. https://doi.org/10.1145/3313831.3376159
Article
An Adversarial Approach for Intrusion Detection Systems Using Jacobian Saliency Map Attacks (JSMA) Algorithm
Qureshi AUH, Larijani H, Yousefi M, Adeel A & Mtetwa N (2020) An Adversarial Approach for Intrusion Detection Systems Using Jacobian Saliency Map Attacks (JSMA) Algorithm. Computers, 9 (3), Art. No.: 58. https://doi.org/10.3390/computers9030058
Article
Learning and Searching Pseudo-Boolean Surrogate Functions from Small Samples
Swingler K (2020) Learning and Searching Pseudo-Boolean Surrogate Functions from Small Samples. Evolutionary Computation, 28 (2), pp. 317-338. https://doi.org/10.1162/evco_a_00257
Conference Paper (published)
Comparison between Maximal Independent Sets and Maximal Cliques Models to Calculate the Capacity of Multihop Wireless Networks
Heal M & Li J (2020) Comparison between Maximal Independent Sets and Maximal Cliques Models to Calculate the Capacity of Multihop Wireless Networks. In: Arai K & Bhatia R (eds.) Advances in Information and Communication. FICC 2019. Lecture Notes in Networks and Systems, 70. FICC 2019: Future of Information and Communication Conference, San Francisco, CA, USA, 14.03.2019-15.03.2019. Cham, Switzerland: Springer International Publishing Company, pp. 603-615. https://doi.org/10.1007/978-3-030-12385-7_44
Conference Paper (published)
On Refining Design Patterns for Smart Contracts: A use case on water management
Zecchini M, Bracciali A, Chatzigiannakis I & Vitaletti A (2020) On Refining Design Patterns for Smart Contracts: A use case on water management. In: Schwardmann U, Boehme C, Heras DB, Cardellini V, Jeannot E, Salis A, Schifanella C, Reddy Manumachu R, Schwamborn D, Ricci L, Sangyoon O, Gruber T, Antonelli L & Scott SL (eds.) Euro-Par 2019: Parallel Processing Workshops. Lecture Notes in Computer Science, 11997. 2nd International Workshop on Future Perspective of Decentralized APPlications, Gottingen, Germany, 26.08.2019-29.08.2019. Cham, Switzerland: Springer, pp. 228-239. https://doi.org/10.1007/978-3-030-48340-1_18
Conference Paper (published)
YewPar: Skeletons for Exact Combinatorial Search
Archibald B, Maier P, Stewart R & Trinder P (2020) YewPar: Skeletons for Exact Combinatorial Search. In: PPoPP '20: Proceedings of the 25th Symposium on Principles and Practice of Parallel Programming. Principles and Practice of Parallel Programming 2020 (PPoPP 2020), San Diego, 22.02.2020-26.02.2020. New York: ACM, pp. 292-307. https://doi.org/10.1145/3332466.3374537
Article
CochleaNet: A Robust Language-independent Audio-Visual Model for Speech Enhancement
Gogate M, Dashtipour K, Adeel A & Hussain A (2020) CochleaNet: A Robust Language-independent Audio-Visual Model for Speech Enhancement. Information Fusion, 63, pp. 273-285. https://doi.org/10.1016/j.inffus.2020.04.001
Article
Quinine exposure and the risk of acute kidney injury: a population-based observational study of older people
Duncan ADS, Hapca S, De Souza N, Morales D & Bell S (2020) Quinine exposure and the risk of acute kidney injury: a population-based observational study of older people. Age and Ageing, 49 (6), pp. 1042-1047. https://doi.org/10.1093/ageing/afaa079
Article
Exploring Personalised Autonomous Vehicles to Influence User Trust
Sun X, Li J, Tang P, Zhou S, Peng X, Li HN & Wang Q (2020) Exploring Personalised Autonomous Vehicles to Influence User Trust. Cognitive Computation, 12 (6), pp. 1170-1186. https://doi.org/10.1007/s12559-020-09757-x
Article
A novel encoding for separable large-scale multi-objective problems and its application to the optimisation of housing stock improvements
Brownlee A, Wright J, He M, Lee T & McMenemy P (2020) A novel encoding for separable large-scale multi-objective problems and its application to the optimisation of housing stock improvements. Applied Soft Computing, 96, Art. No.: 106650. https://doi.org/10.1016/j.asoc.2020.106650
Article
Zoocentrism in the weeds? Cultivating plant models for cognitive yield
Linson A & Calvo P (2020) Zoocentrism in the weeds? Cultivating plant models for cognitive yield. Biology and Philosophy, 35 (5), Art. No.: 49. https://doi.org/10.1007/s10539-020-09766-y
Article
On eigenvalue multiplicity in signed graphs
Ramezani F, Rowlinson P & Stanić Z (2020) On eigenvalue multiplicity in signed graphs. Discrete Mathematics, 343 (10), Art. No.: 111982. https://doi.org/10.1016/j.disc.2020.111982
Letter
Real-time Continuous Glucose Monitoring During a Hyperinsulinemic Hypoglycemic Clamp Significantly Underestimates the Degree of Hypoglycemia
Farrell CM, McNeilly AD, Hapca SM & McCrimmon RJ (2020) Real-time Continuous Glucose Monitoring During a Hyperinsulinemic Hypoglycemic Clamp Significantly Underestimates the Degree of Hypoglycemia. Diabetes Care, 43 (10), pp. e142-e143. https://doi.org/10.2337/dc20-0882
Conference Paper (published)
Ir-Man: An Information Retrieval Framework for Marine Animal Necropsy Analysis
Carmichael AFB, Bhowmik D, Baily J, Brownlow A, Gunn GJ & Reeves A (2020) Ir-Man: An Information Retrieval Framework for Marine Animal Necropsy Analysis. In: BCB '20: Proceedings of the 11th ACM International Conference on Bioinformatics, Computational Biology and Health Informatics. 11th ACM Conference on Bioinformatics, Computational Biology, and Health Informatics (ACM-BCB 2020), Virtual, 21.09.2020-24.09.2020. New York: ACM, p. 67. https://doi.org/10.1145/3388440.3412417
Article
Conflict-free routing of multi-stop warehouse trucks
Brownlee A, Swan J, Senington R & Kocsis Z (2020) Conflict-free routing of multi-stop warehouse trucks. Optimization Letters, 14 (6), p. 1459–1470. https://doi.org/10.1007/s11590-019-01453-6
Article
Incentive compatible and anti-compounding of wealth in proof-of-stake
Wang Y, Yang G, Bracciali A, Leung H, Tian H, Ke L & Yu X (2020) Incentive compatible and anti-compounding of wealth in proof-of-stake. Information Sciences, 530, pp. 85-94. https://doi.org/10.1016/j.ins.2020.03.098
Article
Production and joint emission reduction decisions based on two-way cost-sharing contract under cap-and-trade regulation
Wang Z, Brownlee A & Wu Q (2020) Production and joint emission reduction decisions based on two-way cost-sharing contract under cap-and-trade regulation. Computers and Industrial Engineering, 146, Art. No.: 106549. https://doi.org/10.1016/j.cie.2020.106549
Article
IoT Security Vulnerabilities and Predictive Signal Jamming Attack Analysis in LoRaWAN
Ingham M, Marchang J & Bhowmik D (2020) IoT Security Vulnerabilities and Predictive Signal Jamming Attack Analysis in LoRaWAN. IET Information Security, 14 (4), pp. 368-379. https://doi.org/10.1049/iet-ifs.2019.0447
Article
Tracking COVID-19 in Europe: Infodemiology Approach
Mavragani A (2020) Tracking COVID-19 in Europe: Infodemiology Approach. JMIR Public Health and Surveillance, 6 (2), Art. No.: e18941. https://doi.org/10.2196/18941
Conference Paper (published)
Human Factors in the Study of Automatic Software Repair: Future Directions for Research with Industry
Winter E, Bowes D, Counsell S, Hall T, Haraldsson S, Nowack V & Woodward J (2020) Human Factors in the Study of Automatic Software Repair: Future Directions for Research with Industry. In: ICSE '20: 42nd International Conference on Software Engineering, Seoul Republic of Korea, 27.06.2020-07.07.2020. ACM, pp. 285-286. https://doi.org/10.1145/3387940.3392176
Article
Towards the automatic detection of skin lesion shape asymmetry, color variegation and diameter in dermoscopic images
Ali A, Li J & O’Shea SJ (2020) Towards the automatic detection of skin lesion shape asymmetry, color variegation and diameter in dermoscopic images. PLOS ONE, 15 (6), Art. No.: e0234352. https://doi.org/10.1371/journal.pone.0234352
Article
A New Generalized Partition Crossover for the Traveling Salesman Problem: Tunneling Between Local Optima
Tinós R, Whitley D & Ochoa G (2020) A New Generalized Partition Crossover for the Traveling Salesman Problem: Tunneling Between Local Optima. Evolutionary Computation, 28 (2), pp. 255-288. https://doi.org/10.1162/evco_a_00254
Article
Regular sparse array direction of arrival estimation in one dimension
Knaepkens F, Cuyt A, Lee W & de Villiers DIL (2020) Regular sparse array direction of arrival estimation in one dimension. IEEE Transactions on Antennas and Propagation, 68 (5), pp. 3997-4006. https://doi.org/10.1109/TAP.2019.2963618
Article
How to get high resolution results from sparse and coarsely sampled data
Cuyt A & Lee W (2020) How to get high resolution results from sparse and coarsely sampled data. Applied and Computational Harmonic Analysis, 48 (3), pp. 1066-1087. https://doi.org/10.1016/j.acha.2018.10.001
Thesis
Novel symbolic and sub-symbolic approaches for text based and multimodal sentiment analysis
Dashtipour K (2020) Novel symbolic and sub-symbolic approaches for text based and multimodal sentiment analysis. Doctor of Philosophy. University of Stirling. http://hdl.handle.net/1893/31172
Article
Conscious Multisensory Integration: Introducing a Universal Contextual Field in Biological and Deep Artificial Neural Networks
Adeel A (2020) Conscious Multisensory Integration: Introducing a Universal Contextual Field in Biological and Deep Artificial Neural Networks. Frontiers in Computational Neuroscience, 14. https://doi.org/10.3389/fncom.2020.00015
Article
A problem concerning graphs with just three distinct eigenvalues
Rowlinson P (2020) A problem concerning graphs with just three distinct eigenvalues. Linear Algebra and its Applications, 592, pp. 260-269. https://doi.org/10.1016/j.laa.2020.01.024
Article
A randomised controlled study of high intensity exercise as a dishabituating stimulus to improve hypoglycaemia awareness in people with type 1 diabetes: a proof-of-concept study
Farrell CM, McNeilly AD, Fournier P, Jones T, Hapca SM, West D & McCrimmon RJ (2020) A randomised controlled study of high intensity exercise as a dishabituating stimulus to improve hypoglycaemia awareness in people with type 1 diabetes: a proof-of-concept study. Diabetologia, 63 (4), pp. 853-863. https://doi.org/10.1007/s00125-019-05076-5
Article
Infodemiology and Infoveillance: Scoping Review
Mavragani A (2020) Infodemiology and Infoveillance: Scoping Review. Journal of Medical Internet Research, 22 (4), p. e16206. https://doi.org/10.2196/16206
Conference Paper (published)
Exploration of media blockchain technologies for JPEG privacy and security
Temmermans F, Bhowmik D, Pereira F, Ebrahimi T & Schelkens P (2020) Exploration of media blockchain technologies for JPEG privacy and security. In: Kozacki T & Schelkens P (eds.) Optics, Photonics and Digital Technologies for Imaging Applications VI. Proceedings of SPIE, 11353. SPIE Photonics Europe 2020, Online Only, France, 06.04.2020-10.04.2020. SPIE, p. 113530U. https://doi.org/10.1117/12.2556684
Article
Programming Languages for Data-Intensive HPC Applications: a Systematic Mapping Study
Amaral V, Norberto B, Goulão M, Aldinucci M, Benkner S, Bracciali A, Carreira P, Celms E, Correia L, Grelck C, Karatza H, Kessler C, Kilpatrick P, Martiniano H & Mavridis I (2020) Programming Languages for Data-Intensive HPC Applications: a Systematic Mapping Study. Parallel Computing, 91, Art. No.: 102584. https://doi.org/10.1016/j.parco.2019.102584
Technical Report
Methods And Sources For Underpinning Airport Ground Movement Decision Support Systems
Brownlee A, Atkin J, Woodward J & Burke E Methods And Sources For Underpinning Airport Ground Movement Decision Support Systems. None.
Article
A Hybrid Persian Sentiment Analysis Framework: Integrating Dependency Grammar Based Rules and Deep Neural Networks
Dashtipour K, Gogate M, Li J, Jiang F, Kong B & Hussain A (2020) A Hybrid Persian Sentiment Analysis Framework: Integrating Dependency Grammar Based Rules and Deep Neural Networks. Neurocomputing, 380, pp. 1-10. https://doi.org/10.1016/j.neucom.2019.10.009
Conference Paper (published)
Creeping waves in the shadow region with the Dirichlet and Neumann conditions
Kirpichnikova A & Kirpichnikova N (2020) Creeping waves in the shadow region with the Dirichlet and Neumann conditions. In: Motygin O, Kiselev A, Goray L, Fedotov A, Ya Kazakov A & Kirpichnikova A (eds.) Proceedings of the International Conference Days on Diffraction 2019. Days on Diffraction 2019, St. Petersburg, Russia, 03.06.2019-07.06.2019. Piscataway, NJ: IEEE, pp. 89-93. https://doi.org/10.1109/DD46733.2019.9016422
Article
Facing Erosion Identification in Railway Lines Using Pixel-wise Deep-based Approaches
Nogueira K, Machado GLS, Gama PHT, Da Silva CCV, Balaniuk R & Santos JAD (2020) Facing Erosion Identification in Railway Lines Using Pixel-wise Deep-based Approaches. Remote Sensing, 12 (4), Art. No.: 739. https://doi.org/10.3390/rs12040739
Article
A hybrid combinatorial approach to a two-stage stochastic portfolio optimization model with uncertain asset prices
Cui T, Bai R, Ding S, Parkes AJ, Qu R, He F & Li J (2020) A hybrid combinatorial approach to a two-stage stochastic portfolio optimization model with uncertain asset prices. Soft Computing, 24 (4), p. 2809–2831. https://doi.org/10.1007/s00500-019-04517-y
Article
Active inference, stressors, and psychological trauma: A neuroethological model of (mal)adaptive explore-exploit dynamics in ecological context
Linson A, Parr T & Friston KJ (2020) Active inference, stressors, and psychological trauma: A neuroethological model of (mal)adaptive explore-exploit dynamics in ecological context. Behavioural Brain Research, 380, Art. No.: 112421. https://doi.org/10.1016/j.bbr.2019.112421
Article
The Effect of Forest Management Options on Forest Resilience to Pathogens
Roberts M, Gilligan CA, Kleczkowski A, Hanley N, Whalley AE & Healey JR (2020) The Effect of Forest Management Options on Forest Resilience to Pathogens. Frontiers in Forests and Global Change, 3, Art. No.: 7. https://doi.org/10.3389/ffgc.2020.00007
Article
Visit-to-Visit HbA1c Variability Is Associated With Cardiovascular Disease and Microvascular Complications in Patients With Newly Diagnosed Type 2 Diabetes
Li S, Nemeth I, Donnelly L, Hapca S, Zhou K & Pearson ER (2020) Visit-to-Visit HbA1c Variability Is Associated With Cardiovascular Disease and Microvascular Complications in Patients With Newly Diagnosed Type 2 Diabetes. Diabetes Care, 43 (2), pp. 426-432. https://doi.org/10.2337/dc19-0823
Article
High accuracy trigonometric approximations of the real Bessel functions of the first kind
Cuyt A, Lee W & Wu M (2020) High accuracy trigonometric approximations of the real Bessel functions of the first kind. Computational Mathematics and Mathematical Physics, 60 (1), pp. 119-127. https://doi.org/10.1134/S0965542520010078
Article
Multi-objective Evolutionary Design of Antibiotic Treatments
Ochoa G, Christie LA, Brownlee AE & Hoyle A (2020) Multi-objective Evolutionary Design of Antibiotic Treatments. Artificial Intelligence in Medicine, 102, Art. No.: 101759. https://doi.org/10.1016/j.artmed.2019.101759
Article
Embedding distortion analysis in wavelet-domain watermarking
Bhowmik D & Abhayaratne C (2020) Embedding distortion analysis in wavelet-domain watermarking. ACM Transactions on Multimedia Computing, Communications and Applications, 15 (4), Art. No.: 108. https://doi.org/10.1145/3357333
Article
Modelling Evolution of Virulence in Populations with a Distributed Parasite Load
Sandhu SK, Morozov AY & Farkas JZ (2020) Modelling Evolution of Virulence in Populations with a Distributed Parasite Load. Journal of Mathematical Biology, 80 (1-2), p. 111–141. https://doi.org/10.1007/s00285-019-01351-6
Article
Granger causal analysis of electrohysterographic and tocographic recordings for classification of term vs. preterm births
Saleem S, Saeed A, Usman S, Ferzund J, Arshad J, Mirza J & Manzoor T (2020) Granger causal analysis of electrohysterographic and tocographic recordings for classification of term vs. preterm births. Biocybernetics and Biomedical Engineering, 40 (1), pp. 454-467. https://doi.org/10.1016/j.bbe.2020.01.007
Article
Evaluating emotional distress and health-related quality of life in patients with heart failure and their family caregivers: Testing dyadic dynamics using the Actor-Partner Interdependence Model
Thomson P, Howie K, Leslie SJ, Angus NJ, Andreis F, Thomson R, Mohan ARM, Mondoa C & Chung ML (2020) Evaluating emotional distress and health-related quality of life in patients with heart failure and their family caregivers: Testing dyadic dynamics using the Actor-Partner Interdependence Model. PLOS ONE, 15 (1), Art. No.: e0227129. https://doi.org/10.1371/journal.pone.0227129
Article
Impacts of Reducing UK Beef Consumption Using a Revised Sustainable Diets Framework
Chalmers N, Stetkiewicz S, Sudhakar P, Osei-Kwasi H & Reynolds CJ (2019) Impacts of Reducing UK Beef Consumption Using a Revised Sustainable Diets Framework. Sustainability, 11 (23), Art. No.: 6863. https://doi.org/10.3390/su11236863
Conference Paper (published)
Practical Performance of Regular Sparse Array Direction of Arrival Estimation in 1-D
De Villiers DIL, Louw R, Weideman R, Cuyt A, Knaepkens F & Lee W (2019) Practical Performance of Regular Sparse Array Direction of Arrival Estimation in 1-D. In: 9th IEEE-APS Topical Conference on Antennas and Propagation in Wireless Communications, APWC 2019. IEEE-APS Conference on Antennas and Propagation for Wireless Communications, Granada, Spain, 09.09.2019-13.09.2019. Piscataway, NJ: Institute of Electrical and Electronics Engineers Inc. pp. 112-112. https://doi.org/10.1109/APWC.2019.8870566
Conference Paper (published)
Citizens Vote to Act: smart contracts for the management of water resources in smart cities
Bracciali A, Chatzigiannakis I & Vitaletti A (2019) Citizens Vote to Act: smart contracts for the management of water resources in smart cities. In: Proceedings of 1st International Conference on Societal Automation. 1st International Conference on Societal Automation, Krakow, Poland, 04.09.2019-06.09.2019. Piscataway, NJ, USA: IEEE. https://doi.org/10.1109/SA47457.2019.8938093
Conference Paper (published)
OLSR optimisation for lightweight MANET-internet integration
al Mojamed M & Kolberg M (2019) OLSR optimisation for lightweight MANET-internet integration. In: Proceedings of 2019 International Conference on Information and Communication Technology and Systems (ICTS). 12th International Conference on Information & Communication Technology and System (ICTS 2019), Surabaya, Indonesia, 18.07.2019-18.07.2019. Piscataway, NJ, USA: Institute of Electrical and Electronics Engineers Inc. pp. 141-145. https://doi.org/10.1109/ICTS.2019.8850981
Conference Paper (published)
Software Improvement with Gin: A Case Study
Petke J & Brownlee AEI (2019) Software Improvement with Gin: A Case Study. In: Nejati S & Gay G (eds.) Search-Based Software Engineering. SSBSE 2019. Lecture Notes in Computer Science, 11664. 11th International Symposium on Search Based Software Engineering, Tallinn, Estonia, 31.08.2019-01.09.2019. Cham, Switzerland: Springer Verlag, pp. 183-189. https://doi.org/10.1007/978-3-030-27455-9_14
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Work orders - Value from structureless text in the era of digitisation
Salo E, McMillan D & Connor R (2019) Work orders - Value from structureless text in the era of digitisation. In: SPE Offshore Europe Conference and Exhibition 2019, OE 2019. SPE Offshore Europe Conference and Exhibition 2019, Aberdeen, UK, 03.09.2019-06.09.2019. Richardson, TX, USA: Society of Petroleum Engineers. https://doi.org/10.2118/195788-MS
Article
Reframing PTSD for computational psychiatry with the active inference framework
Linson A & Friston K (2019) Reframing PTSD for computational psychiatry with the active inference framework. Cognitive Neuropsychiatry, 24 (5), pp. 347-386. https://doi.org/10.1080/13546805.2019.1665994
Article
Are antidementia drugs associated with reduced mortality after a hospital emergency admission in the population with dementia aged 65 years and older?
Hapca S, Burton JK, Cvoro V, Reynish E & Donnan PT (2019) Are antidementia drugs associated with reduced mortality after a hospital emergency admission in the population with dementia aged 65 years and older?. Alzheimer's and Dementia: Translational Research and Clinical Interventions, 5, pp. 431-440. https://doi.org/10.1016/j.trci.2019.07.011
Conference Paper (published)
Modelling string structure in vector spaces
Connor R, Dearle A & Vadicamo L (2019) Modelling string structure in vector spaces. In: Amato G, Mecella M & Gennaro C (eds.) 27th Italian Symposium on Advanced Database Systems. CEUR Workshop Proceedings, 2400. SEBD 2019: Italian Symposium on Advanced Database Systems, Castiglione della Pescaia (Grosseto), Italy, 16.06.2019-19.06.2019. Aachen: CEUR-WS. http://ceur-ws.org/Vol-2400/paper-45.pdf
Conference Paper (published)
Query Filtering with Low-Dimensional Local Embeddings
Chávez E, Connor R & Vadicamo L (2019) Query Filtering with Low-Dimensional Local Embeddings. In: SISAP 2019: Similarity Search and Applications. Lecture Notes in Computer Science, 11807. SISAP2019: International Conference on Similarity Search and Applications, Newark NJ, USA, 02.10.2019-04.10.2019. Cham, Switzerland: Springer, pp. 233-246. https://doi.org/10.1007/978-3-030-32047-8_21
Conference Paper (published)
SPLX-Perm: A Novel Permutation-Based Representation for Approximate Metric Search
Vadicamo L, Connor R, Falchi F, Gennaro C & Rabitti F (2019) SPLX-Perm: A Novel Permutation-Based Representation for Approximate Metric Search. In: SISAP 2019: Similarity Search and Applications. Lecture Notes in Computer Science, 11807. SISAP2019: International Conference on Similarity Search and Applications, Newark, NJ, USA, 02.10.2019-04.10.2019. Cham, Switzerland: Springer, pp. 40-48. https://doi.org/10.1007/978-3-030-32047-8_4
Technical Report
Crowd Sourcing The Sounds Of Places With A Web Based Genetic Algorithm Techreport
Brownlee A, Kim S, Wang S, Chan S & Lawson JA (2019) Crowd Sourcing The Sounds Of Places With A Web Based Genetic Algorithm Techreport. University of Stirling. Stirling: University of Stirling.
Conference Paper (published)
A Hybrid Metaheuristic Approach to a Real World Employee Scheduling Problem
Reid KN, Li J, Brownlee A, Kern M, Veerapen N, Swan J & Owusu G (2019) A Hybrid Metaheuristic Approach to a Real World Employee Scheduling Problem. In: Proceedings of the Genetic and Evolutionary Computation Conference 2019. GECCO '19: The Genetic and Evolutionary Computation Conference 2019, Prague, Czech Republic, 13.07.2019-17.07.2019. New York: ACM, pp. 1311-1318. https://doi.org/10.1145/3321707.3321769
Article
Boundary perturbations and steady states of structured populations
Calsina A & Farkas JZ (2019) Boundary perturbations and steady states of structured populations. Discrete and Continuous Dynamical Systems - Series B, 24 (12), pp. 6675-6691. https://doi.org/10.3934/dcdsb.2019162
Conference Paper (published)
Rigorous Performance Analysis of State-of-the-Art TSP Heuristic Solvers
McMenemy P, Veerapen N, Adair J & Ochoa G (2019) Rigorous Performance Analysis of State-of-the-Art TSP Heuristic Solvers. In: Liefooghe A & Paquete L (eds.) Evolutionary Computation in Combinatorial Optimization. Lecture Notes in Computer Science, 11452. EVOCOP 2019: European Conference on Evolutionary Computation in Combinatorial Optimization, Leipzig, Germany, 24.04.2019-26.04.2019. Cham, Switzerland: Springer International Publishing, pp. 99-114. https://doi.org/10.1007/978-3-030-16711-0_7
Conference Paper (published)
Training researchers with the MOVING platform
Vagliano I, Fessl A, Günther F, Köhler T, Mezaris V, Saleh A, Scherp A & Šimić I (2019) Training researchers with the MOVING platform. In: Huet B, Kompatsiaris I, Vrochidis S, Mezaris V, Cheng W & Gurrin C (eds.) MultiMedia Modeling. MMM 2019. Lecture Notes in Computer Science, 11295. MMM 2019: International Conference on Multimedia Modeling, Thessaloniki, Greece, 08.01.2019-11.01.2019. Cham, Switzerland: Springer Verlag, pp. 560-565. https://doi.org/10.1007/978-3-030-05716-9_46
Conference Paper (published)
Clarifying the Difference in Local Optima Network Sampling Algorithms
Thomson SL, Ochoa G & Verel S (2019) Clarifying the Difference in Local Optima Network Sampling Algorithms. In: Liefooghe A & Paquete L (eds.) Evolutionary Computation in Combinatorial Optimization. Lecture Notes in Computer Science, 11452. The 19th European Conference on Evolutionary Computation in Combinatorial Optimisation, Leipzig, Germany, 24.04.2019-26.04.2019. Cham, Switzerland: Springer International Publishing, pp. 163-178. https://doi.org/10.1007/978-3-030-16711-0_11
Conference Paper (published)
Why High-Performance Modelling and Simulation for Big Data Applications Matters
Grelck C, Niewiadomska-Szynkiewicz E, Aldinucci M, Bracciali A & Larsson E (2019) Why High-Performance Modelling and Simulation for Big Data Applications Matters. In: Kołodziej J & González-Vélez H (eds.) High-Performance Modelling and Simulation for Big Data Applications. Lecture Notes in Computer Science, 11400. ICT COST Action IC1406 High-Performance Modelling and Simulation for Big Data Applications (cHiPSet), Vilnius, Lithuania, 28.03.2019-29.03.2019. Cham, Switzerland: Springer, pp. 1-35. https://doi.org/10.1007/978-3-030-16272-6_1
Conference Paper (published)
Forecasting Cryptocurrency Value by Sentiment Analysis: An HPC-Oriented Survey of the State-of-the-Art in the Cloud Era
Zamuda A, Crescimanna V, Burguillo JC, Matos Dias J, Wegrzyn-Wolska K, Rached I, González-Vélez H, Senkerik R, Pop C, Cioara T, Salomie I & Bracciali A (2019) Forecasting Cryptocurrency Value by Sentiment Analysis: An HPC-Oriented Survey of the State-of-the-Art in the Cloud Era. In: Kołodziej J & González-Vélez H (eds.) High-Performance Modelling and Simulation for Big Data Applications. Lecture Notes in Computer Science, 11400. ICT COST Action IC1406 High-Performance Modelling and Simulation for Big Data Applications (cHiPSet), Vilnius, Lithuania, 28.03.2019-29.03.2019. Cham, Switzerland: Springer, pp. 325-349. https://doi.org/10.1007/978-3-030-16272-6_12
Conference Paper (published)
Quasi-Optimal Recombination Operator
Chicano F, Ochoa G, Whitley D & Tinós R (2019) Quasi-Optimal Recombination Operator. In: Liefooghe A & Paquete L (eds.) Evolutionary Computation in Combinatorial Optimization. Lecture Notes in Computer Science, 11452. EvoCOP 2019: European Conference on Evolutionary Computation in Combinatorial Optimization, Leipzig, Germany, 24.04.2019-26.04.2019. Cham, Switzerland: Springer International Publishing, pp. 131-146. https://doi.org/10.1007/978-3-030-16711-0_9
Edited Book
Financial Cryptography and Data Security: FC 2018 International Workshops, BITCOIN, VOTING, and WTSC, Nieuwpoort, Curaçao, March 2, 2018, Revised Selected Papers
Zohar A, Eyal I, Teague V, Clark J, Bracciali A, Pintore F & Sala M (eds.) (2019) Financial Cryptography and Data Security: FC 2018 International Workshops, BITCOIN, VOTING, and WTSC, Nieuwpoort, Curaçao, March 2, 2018, Revised Selected Papers. Berlin Heidelberg: Springer. https://doi.org/10.1007/978-3-662-58820-8
Conference Paper (published)
Data Analytics in Text Messages: A Mobile Network Operator Case Study
Babaee M & Sarabadani H (2019) Data Analytics in Text Messages: A Mobile Network Operator Case Study. In: 9th International Symposium on Telecommunication, IST 2018. 2018 9th International Symposium on Telecommunications (IST), Tehran, Iran, 17.12.2018-19.12.2018. Piscataway, NJ: Institute of Electrical and Electronics Engineers Inc. pp. 330-336. https://doi.org/10.1109/ISTEL.2018.8660969
Article
Speech enhancement based on adaptive noise cancellation and Particle Swarm Optimization
Taha TMF, Wajid SK & Hussain A (2019) Speech enhancement based on adaptive noise cancellation and Particle Swarm Optimization. Journal of Computer Science, 15 (5), pp. 691-701. https://doi.org/10.3844/jcssp.2019.691.701
Conference Paper (published)
Implementing YewPar: a Framework for Parallel Tree Search
Archibald B, Maier P, Stewart R & Trinder P (2019) Implementing YewPar: a Framework for Parallel Tree Search. In: Yahyapour R (ed.) Euro-Par 2019: Parallel Processing. Lecture Notes in Computer Science, 11725. Euro-Par 2019: 25th International Conference on Parallel and Distributed Computing, Göttingen, Germany, 26.08.2019-30.08.2019. Cham, Switzerland: Springer Verlag, pp. 184-196. https://doi.org/10.1007/978-3-030-29400-7_14
Conference Paper (published)
Sentiment Aware Fake News Detection on Online Social Networks
Ajao O, Bhowmik D & Zargari S (2019) Sentiment Aware Fake News Detection on Online Social Networks. In: ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE International Conference on Acoustics, Speech, and Signal Processing Proceedings. 2019 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Brighton, UK, 12.05.2019-17.05.2019. Piscataway, NJ, USA: IEEE, pp. 2507-2511. https://doi.org/10.1109/ICASSP.2019.8683170
Conference Paper (published)
Insights into the feature selection problem using local optima networks
Mostert W, Malan KM, Ochoa G & Engelbrecht AP (2019) Insights into the feature selection problem using local optima networks. In: Liefooghe A & Paquete L (eds.) Evolutionary Computation in Combinatorial Optimization. Lecture Notes in Computer Science, 11452. 19th European Conference on Evolutionary Computation in Combinatorial Optimization, EvoCOP 2019, held as part of EvoStar 2019, Leipzig, Germany, 24.04.2019-26.04.2019. Cham, Switzerland: Springer Verlag, pp. 147-162. https://doi.org/10.1007/978-3-030-16711-0_10
Article
Transmission Power and effects on energy consumption and performance in MANET
Blakeway S, Kirpichnikova A, Schaeffer M & Secco EL (2019) Transmission Power and effects on energy consumption and performance in MANET. EAI Endorsed Transactions on Mobile Communications and Applications, 19 (16), Art. No.: e2. https://doi.org/10.4108/eai.13-7-2018.159336
Conference Paper (published)
Supervised Versus Unsupervised Deep Learning Based Methods for Skin Lesion Segmentation in Dermoscopy Images
Ali A, Li J & Trappenberg T (2019) Supervised Versus Unsupervised Deep Learning Based Methods for Skin Lesion Segmentation in Dermoscopy Images. In: Meurs M & Rudzicz F (eds.) Advances in Artificial Intelligence. Lecture Notes in Computer Science, 11489. Canadian AI 2019: 32nd Canadian Conference on Artificial Intelligence, Kingston, ON, Canada, 28.05.2019-31.05.2019. Cham, Switzerland: Springer, pp. 373-379. https://doi.org/10.1007/978-3-030-18305-9_32