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
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
Conference Proceeding
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
Article
Assessment of land subsidence using interferometric synthetic aperture radar time series analysis and artificial neural network in a geospatial information system: case study of Rafsanjan Plain
Bagheri M, Dehghani M, Esmaeily A & Akbari V (2019) Assessment of land subsidence using interferometric synthetic aperture radar time series analysis and artificial neural network in a geospatial information system: case study of Rafsanjan Plain. Journal of Applied Remote Sensing, 13 (04), p. 1. https://doi.org/10.1117/1.jrs.13.044530
Book Chapter
Ontology-Driven, Adaptive, Medical Questionnaires for Patients with Mild Learning Disabilities
Gibson RC, Bouamrane M & Dunlop MD (2019) Ontology-Driven, Adaptive, Medical Questionnaires for Patients with Mild Learning Disabilities. In: in Proceedings of Artifical Intelligence XXXVI: 39th SGAI International Conference on Artificial Intelligence - University of Cambridge, United Kingdom. Springer International Publishing, pp. 107-121. https://dl.acm.org/doi/10.1007/978-3-030-34885-4_8; https://doi.org/10.1007/978-3-030-34885-4_8
Conference Proceeding
Shift Scheduling and Employee Rostering: An Evolutionary Ruin & Stochastic Recreate Solution
Reid KN, Li J, Veerapen N, Swan J, Mccormick A, Kern M & Owusu G (2019) Shift Scheduling and Employee Rostering: An Evolutionary Ruin & Stochastic Recreate Solution. In: 2018 10th Computer Science and Electronic Engineering (CEEC). 10th Computer Science and Electronic Engineering Conference (CEEC), Colchester, 19.09.2018-21.09.2018. Piscataway, NJ, USA: IEEE, pp. 19-23. https://doi.org/10.1109/CEEC.2018.8674200
Conference Proceeding
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
Conference Proceeding
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
Conference Proceeding
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
Book Chapter
Characteristics and hospital activity of elderly patients receiving admission avoidance home visits: a population-level record linkage study
Bouamrane M (2019) Characteristics and hospital activity of elderly patients receiving admission avoidance home visits: a population-level record linkage study [Martin-Bouamrane-etAl-MEDINFO 2019]. In: in Proceedings of MEDINFO 2019: Health and Wellbeing e-Networks for All. Studies in Health Technology and Informatics, Vol 264. IOS Press, pp. 556 - 560. https://ebooks.iospress.nl/volumearticle/52049; https://doi.org/10.3233/shti190284
Conference Proceeding
A Deep Learning Based Approach to Skin Lesion Border Extraction with a Novel Edge Detector in Dermoscopy Images
Ali A, Li J, O'Shea SJ, Yang G, Trappenberg T & Ye X (2019) A Deep Learning Based Approach to Skin Lesion Border Extraction with a Novel Edge Detector in Dermoscopy Images. In: Proceedings of the 2019 International Joint Conference on Neural Networks, IJCNN 2019. International Joint Conference on Neural Networks (IJCNN 2019), Budapest, Hungary, 14.07.2019-19.07.2019. Piscataway, NJ, USA: Institute of Electrical and Electronics Engineers Inc. https://doi.org/10.1109/IJCNN.2019.8852134
Book Chapter
Experts Views on the Use of Mobile Devices to Support Patients with Mild Learning Disabilities During Clinical Consultations
Gibson RC, Bouamrane M & Dunlop M (2019) Experts Views on the Use of Mobile Devices to Support Patients with Mild Learning Disabilities During Clinical Consultations. In: in Proceedings of MEDINFO 2019: Health and Wellbeing e-Networks for All. Studies in Health Technology and Informatics, Volume 264. IOS Press, pp. 1199 - 1203. https://ebooks.iospress.nl/publication/52181; https://doi.org/10.3233/SHTI190416
Article
Change detection using distance-based algorithms between synthetic aperture radar polarimetric decompositions
Najafi A, Hasanlou M & Akbari V (2019) Change detection using distance-based algorithms between synthetic aperture radar polarimetric decompositions. International Journal of Remote Sensing, 40 (15), pp. 6084-6097. https://doi.org/10.1080/01431161.2019.1587202
Article
A Gaussian random field model for de-speckling of multi-polarized Synthetic Aperture Radar data
Mahdianpari M, Motagh M, Akbari V, Mohammadimanesh F & Salehi B (2019) A Gaussian random field model for de-speckling of multi-polarized Synthetic Aperture Radar data. Advances in Space Research, 64 (1), pp. 64-78. https://doi.org/10.1016/j.asr.2019.03.013
Article
Google Trends in Infodemiology and Infoveillance: Methodology Framework
Mavragani A & Ochoa G (2019) Google Trends in Infodemiology and Infoveillance: Methodology Framework. JMIR Public Health and Surveillance, 5 (2), Art. No.: e13439. https://doi.org/10.2196/13439
Conference Proceeding
Haemodialysis Electronic Patient Portal: A Design Requirements Analysis and Feasibility Study with Domain Experts
(2019) Haemodialysis Electronic Patient Portal: A Design Requirements Analysis and Feasibility Study with Domain Experts. 2019 IEEE 32nd International Symposium on Computer-Based Medical Systems (CBMS), Cordoba, Spain, 05.06.2019-07.06.2019. IEEE. https://ieeexplore.ieee.org/abstract/document/8787484; https://doi.org/10.1109/cbms.2019.00051
Book Chapter
Evaluation of Random Forest and Ensemble Methods at Predicting Complications Following Cardiac Surgery
Lapp L, Bouamrane M, Kavanagh K, Roper M, Young D & Schraag S (2019) Evaluation of Random Forest and Ensemble Methods at Predicting Complications Following Cardiac Surgery. In: in Proceedings of Conference on Artificial Intelligence in Medicine in Europe 2029. Lecture Notes in Artificial Intelligence (LNAI), LNAI volume 11526. Springer International Publishing, pp. 376-385. https://link.springer.com/chapter/10.1007/978-3-030-21642-9_48; https://doi.org/10.1007/978-3-030-21642-9_48
Article
Design Requirements for a Digital Aid to Support Adults With Mild Learning Disabilities During Clinical Consultations: Qualitative Study With Experts
Gibson RC, Bouamrane M & Dunlop M (2019) Design Requirements for a Digital Aid to Support Adults With Mild Learning Disabilities During Clinical Consultations: Qualitative Study With Experts. JMIR Rehabilitation and Assistive Technologies, 6 (1), p. e10449. https://rehab.jmir.org/2019/1/e10449; https://doi.org/10.2196/10449
Article
Supermetric search
Connor R, Vadicamo L, Cardillo FA & Rabitti F (2019) Supermetric search. Information Systems, 80, pp. 108-123. https://doi.org/10.1016/j.is.2018.01.002
Article
Valuing Mobile Health: An Open-Ended Contingent Valuation Survey of a National Digital Health Program
Somers C, Grieve E, Lennon M, Bouamrane M, Mair FS & McIntosh E (2019) Valuing Mobile Health: An Open-Ended Contingent Valuation Survey of a National Digital Health Program. JMIR mHealth and uHealth, 7 (1), p. e3. https://mhealth.jmir.org/2019/1/e3/; https://doi.org/10.2196/mhealth.9990
Article
Predicting referendum results in the Big Data Era
Mavragani A & Tsagarakis KP (2019) Predicting referendum results in the Big Data Era. Journal of Big Data, 6 (1), Art. No.: 3. https://doi.org/10.1186/s40537-018-0166-z
Book Chapter
A Survey on the Role of Wireless Sensor Networks and IoT in Disaster Management
Adeel A, Gogate M, Farooq S, Ieracitano C, Dashtipour K, Larijani H & Hussain A (2018) A Survey on the Role of Wireless Sensor Networks and IoT in Disaster Management. In: Durrani T, Wang W & Forbes S (eds.) Geological Disaster Monitoring Based on Sensor Networks. Springer Natural Hazards. Singapore: Springer, pp. 57-66. https://doi.org/10.1007/978-981-13-0992-2_5
Conference Proceeding
A Semi-supervised Corpus Annotation for Saudi Sentiment Analysis Using Twitter
Alqarafi A, Adeel A, Hawalah A, Swingler K & Hussain A (2018) A Semi-supervised Corpus Annotation for Saudi Sentiment Analysis Using Twitter. In: Hussain A, Zhao H, Ren J, Zheng J, Liu C, Luo B & Zhao X (eds.) Advances in Brain Inspired Cognitive Systems. Lecture Notes in Computer Science, 10989. BICS 2018: 9th International Conference on Brain Inspired Cognitive Systems, Xi'an, China, 07.07.2018-08.07.2018. Cham, Switzerland: Springer International Publishing, pp. 589-596. https://doi.org/10.1007/978-3-030-00563-4_57
Article
Towards workload-aware cloud resource provisioning using a multi-controller fuzzy switching approach
Ullah A, Li J & Hussain A (2018) Towards workload-aware cloud resource provisioning using a multi-controller fuzzy switching approach. International Journal of High Performance Computing and Networking, 12 (1), pp. 13-25. https://doi.org/10.1504/IJHPCN.2018.093838
Article
Towards Optimising WLANs Power Saving: Novel Context-aware Network Traffic Classification Based on a Machine Learning Approach
Saeed A & Kolberg M (2018) Towards Optimising WLANs Power Saving: Novel Context-aware Network Traffic Classification Based on a Machine Learning Approach. IEEE Access, 7, pp. 3122-3135. https://doi.org/10.1109/access.2018.2888813
Article
Unsupervised Change Detection in Polarimetric SAR Data With the Hotelling-Lawley Trace Statistic and Minimum-Error Thresholding
Ghanbari M & Akbari V (2018) Unsupervised Change Detection in Polarimetric SAR Data With the Hotelling-Lawley Trace Statistic and Minimum-Error Thresholding. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 11 (12), pp. 4551-4562. https://doi.org/10.1109/jstars.2018.2882412
Conference Proceeding
Querying Metric Spaces with Bit Operations
Connor R & Dearle A (2018) Querying Metric Spaces with Bit Operations. In: Similarity Search and Applications. SISAP 2018. Lecture Notes in Computer Science, 11223. 11th International Conference on Similarity Search and Applications - SISAP 2018, Lima, Peru, 07.10.2018-09.10.2018. Cham, Switzerland: Springer, pp. 33-46. https://doi.org/10.1007/978-3-030-02224-2_3
Conference Proceeding
From exponential analysis to Padé approximation and tensor decomposition, in one and more dimensions
Cuyt A, Knaepkens F & Lee W (2018) From exponential analysis to Padé approximation and tensor decomposition, in one and more dimensions. In: Gerdt V, Koepf W, Seiler W & Vorozhtsov E (eds.) Computer Algebra in Scientific Computing. CASC 2018. Lecture Notes in Computer Science (LNCS), 11077. Computer Algebra in Scientific Computing, Lille, France, 17.09.2018-21.09.2018. Cham, Switzerland: Springer International Publishing, pp. 116-130. https://doi.org/10.1007/978-3-319-99639-4_8
Conference Proceeding
Exploiting Deep Learning for Persian Sentiment Analysis
Dashtipour K, Gogate M, Adeel A, Ieracitano C, Larijani H & Hussain A (2018) Exploiting Deep Learning for Persian Sentiment Analysis. In: Ren J, Hussain A, Zheng J, Liu C, Luo B, Zhao H & Zhao X (eds.) Advances in Brain Inspired Cognitive Systems. BICS 2018. Lecture Notes in Computer Science, 10989. BICS 2018: International Conference on Brain Inspired Cognitive Systems, Xi'an, China, 07.07.2018-08.07.2018. Cham, Switzerland: Springer Verlag, pp. 597-604. https://doi.org/10.1007/978-3-030-00563-4_58
Conference Proceeding
Comparison of Sentiment Analysis Approaches Using Modern Arabic and Sudanese Dialect
Hussien IO, Dashtipour K & Hussain A (2018) Comparison of Sentiment Analysis Approaches Using Modern Arabic and Sudanese Dialect. In: Ren J, Hussain A, Zheng J, Liu C, Luo B, Zhao H & Zhao X (eds.) Advances in Brain Inspired Cognitive Systems. BICS 2018. Lecture Notes in Computer Science, 10989. BICS 2018: International Conference on Brain Inspired Cognitive Systems, Xi'an, China, 07.07.2018-08.07.2018. Cham, Switzerland: Springer Verlag, pp. 615-624. https://doi.org/10.1007/978-3-030-00563-4_60
Conference Proceeding
Statistical Analysis Driven Optimized Deep Learning System for Intrusion Detection
Ieracitano C, Adeel A, Gogate M, Dashtipour K, Morabito FC, Larijani H, Raza A & Hussain A (2018) Statistical Analysis Driven Optimized Deep Learning System for Intrusion Detection. In: Ren J, Hussain A, Zheng J, Liu C, Luo B, Zhao H & Zhao X (eds.) Advances in Brain Inspired Cognitive Systems. BICS 2018. Lecture Notes in Computer Science, 10989. BICS 2018: International Conference on Brain Inspired Cognitive Systems, Xi'an, China, 07.07.2018-08.07.2018. Cham, Switzerland: Springer Verlag, pp. 759-769. https://doi.org/10.1007/978-3-030-00563-4_74
Article
Electronic Swallowing Intervention Package to Support Swallowing Function in Patients With Head and Neck Cancer: Development and Feasibility Study
Cowie J, Boa S, King E, Wells M & Cairns D (2018) Electronic Swallowing Intervention Package to Support Swallowing Function in Patients With Head and Neck Cancer: Development and Feasibility Study. JMIR Formative Research, 2 (2), Art. No.: e15. https://doi.org/10.2196/formative.9703
Conference Proceeding
Multifractality and Dimensional Determinism in Local Optima Networks
Thomson S, Verel S, Ochoa G, Veerapen N & Cairns D (2018) Multifractality and Dimensional Determinism in Local Optima Networks. In: Proceedings of the Genetic and Evolutionary Computation Conference 2018. 2018 Genetic and Evolutionary Computation Conference (GECCO 2018), Kyoto, Japan, 15.07.2018-19.07.2018. New York: ACM, pp. 371-378. http://gecco-2018.sigevo.org; https://doi.org/10.1145/3205455.3205472
Conference Proceeding
On the Fractal Nature of Local Optima Networks
Thomson SL, Verel S, Ochoa G, Veerapen N & McMenemy P (2018) On the Fractal Nature of Local Optima Networks. In: Liefooghe A & López-Ibáñez M (eds.) Evolutionary Computation in Combinatorial Optimization. EvoCOP 2018.. Lecture Notes in Computer Science, 10782. EvoCOP 2018 - The 18th European Conference on Evolutionary Computation in Combinatorial Optimisation, Parma, Italy, 04.04.2018-06.04.2018. Cham, Switzerland: Springer, pp. 18-33. https://doi.org/10.1007/978-3-319-77449-7_2
Conference Proceeding
Evolving training sets for improved transfer learning in brain computer interfaces
Adair J, Brownlee A, Daolio F & Ochoa G (2018) Evolving training sets for improved transfer learning in brain computer interfaces. In: Nicosia G, Pardalos P, Giuffrida G & Umeton R (eds.) Machine Learning, Optimization, and Big Data. MOD 2017. Lecture Notes in Computer Science, 10710. MOD 2017 - The Third International Conference on Machine Learning, Optimization and Big Data, Volterra, Italy, 14.09.2017-17.09.2017. Cham, Switzerland: Springer, pp. 186-197. https://link.springer.com/chapter/10.1007/978-3-319-72926-8_16; https://doi.org/10.1007/978-3-319-72926-8_16
Conference Proceeding
Mutual Information Iterated Local Search: A Wrapper-Filter Hybrid for Feature Selection in Brain Computer Interfaces
Adair J, Brownlee A & Ochoa G (2018) Mutual Information Iterated Local Search: A Wrapper-Filter Hybrid for Feature Selection in Brain Computer Interfaces. In: Applications of Evolutionary Computation. EvoApplications 2018. Lecture Notes in Computer Science, 10784. EvoStar 2018, Parma, Italy, 04.04.2018-06.04.2018. Cham, Switzerland: Springer, pp. 63-77. https://link.springer.com/chapter/10.1007/978-3-319-77538-8_5; https://doi.org/10.1007/978-3-319-77538-8_5
Article
Assessing the Methods, Tools, and Statistical Approaches in Google Trends Research: Systematic Review
Mavragani A, Ochoa G & Tsagarakis KP (2018) Assessing the Methods, Tools, and Statistical Approaches in Google Trends Research: Systematic Review. JMIR, 20 (11), Art. No.: e270. https://doi.org/10.2196/jmir.9366
Conference Proceeding
Validation of SAR Iceberg Detection with Ground-Based Radar and GPS Measurements
Akbari V, Lauknes TR, Rouyet L, Negrel J & Eltoft T (2018) Validation of SAR Iceberg Detection with Ground-Based Radar and GPS Measurements. In: IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium, Valencia, 22.07.2018-27.07.2018. New Jersey: IEEE. https://doi.org/10.1109/igarss.2018.8517286
Conference Proceeding
Mobile support for adults with mild learning disabilities during clinical consultations
(2018) Mobile support for adults with mild learning disabilities during clinical consultations. MobileHCI '18: 20th International Conference on Human-Computer Interaction with Mobile Devices and Services, Barcelona Spain, 03.09.2018-06.09.2018. ACM. https://dl.acm.org/doi/10.1145/3229434.3229469; https://doi.org/10.1145/3229434.3229469
Article
Visualising the Global Structure of Search Landscapes: Genetic Improvement as a Case Study
Veerapen N & Ochoa G (2018) Visualising the Global Structure of Search Landscapes: Genetic Improvement as a Case Study. Genetic Programming and Evolvable Machines, 19 (3, Special Issue: SI), pp. 317-349. https://doi.org/10.1007/s10710-018-9328-1
Conference Proceeding
DNN Driven Speaker Independent Audio-Visual Mask Estimation for Speech Separation
Gogate M, Adeel A, Marxer R, Barker J & Hussain A (2018) DNN Driven Speaker Independent Audio-Visual Mask Estimation for Speech Separation. In: Proceedings of the Annual Conference of the International Speech Communication Association. Interspeech 2018, 02.09.2018-06.09.2018. Baixas, France: ISCA, pp. 2723-2727. https://doi.org/10.21437/Interspeech.2018-2516
Article
Using machine learning for predicting severe postoperative complications after cardiac surgery
Lapp L, Young D, Kavanagh K, Bouamrane M & Schraag S (2018) Using machine learning for predicting severe postoperative complications after cardiac surgery. Journal of Cardiothoracic and Vascular Anesthesia, 32, pp. S84-S85. https://www.sciencedirect.com/science/article/abs/pii/S1053077018307924; https://doi.org/10.1053/j.jvca.2018.08.156
Article
Multivariate exponential analysis from the minimal number of samples
Cuyt A & Lee W (2018) Multivariate exponential analysis from the minimal number of samples. Advances in Computational Mathematics, 44 (4), pp. 987-1002. https://doi.org/10.1007/s10444-017-9570-8
Meeting Abstract
The effects of emotional distress on quality of life of patients with heart failure and their family caregivers: Testing dyadic dynamics using the Actor-Partner Interdependence Model
Thomson P, Howie CA, Leslie SJ, Angus N, Mohan AR, Mondoa C, Smith A & Chung M (2018) The effects of emotional distress on quality of life of patients with heart failure and their family caregivers: Testing dyadic dynamics using the Actor-Partner Interdependence Model [Emotional distress and quality of life in patient-caregiver dyads]. EuroHeartCare 2018, Dublin Ireland, 7 June 2018- 9 June 2018. European Journal of Cardiovascular Nursing, 17 (S1), pp. S2-S3. https://journals.sagepub.com/doi/10.1177/1474515118787764
Article
Genetic Improvement of Software: a Comprehensive Survey
Petke J, Haraldsson S, Harman M, Langdon WB, White D & Woodward J (2018) Genetic Improvement of Software: a Comprehensive Survey. IEEE Transactions on Evolutionary Computation, 22 (3), pp. 415-432. https://doi.org/10.1109/TEVC.2017.2693219
Conference Proceeding
Superresolution underwater acoustics
Cuyt A, Lee W, Tijskens E, Hong W, Wang J, Cools T & Geerts T (2018) Superresolution underwater acoustics. In: Proceedings of Euronoise 2018. Euronoise 2018, 27.05.2018-31.05.2018. Crete, Greece: Hellenic Institute of Acoustics, pp. 2845-2850. http://www.euronoise2018.eu/docs/papers/469_Euronoise2018.pdf
Article
Deterministic sparse FFT for M-sparse vectors
Plonka G, Wannenwetsch K, Cuyt A & Lee W (2018) Deterministic sparse FFT for M-sparse vectors. Numerical Algorithms, 78 (1), pp. 133-159. https://doi.org/10.1007/s11075-017-0370-5
Conference Proceeding
Deep learning driven multimodal fusion for automated deception detection
Gogate M, Adeel A & Hussain A (2018) Deep learning driven multimodal fusion for automated deception detection. In: 2017 IEEE Symposium Series on Computational Intelligence, SSCI 2017, Honolulu, HI, USA, November 27 - Dec. 1, 2017. 2017 IEEE Symposium Series on Computational Intelligence (SSCI), Honolulu, HI, USA, 27.11.2017-01.12.2017. Piscataway, NJ, USA: IEEE. https://doi.org/10.1109/ssci.2017.8285382
Article
The tubercular badger and the uncertain curve:- the need for a multiple stressor approach in environmental radiation protection
Mothersill C, Abend M, Bréchignac F, Copplestone D, Geras’kin S, Goodman J, Horemans N, Jeggo P, McBride W, Mousseau TA, O’Hare A, Papineni RVL, Powathil G, Schofield PN & Austin B (2018) The tubercular badger and the uncertain curve:- the need for a multiple stressor approach in environmental radiation protection. Environmental Research, 168, pp. 130-140. https://doi.org/10.1016/j.envres.2018.09.031
Article
Optimisation of transportation service network using kappa-node large neighbourhood search
Bai R, Woodward J, Subramanian N & Cartlidge J (2018) Optimisation of transportation service network using kappa-node large neighbourhood search. Computers and Operations Research, 89, pp. 193-205. https://doi.org/10.1016/j.cor.2017.06.008
Conference Proceeding
Fixing bugs in your sleep: How genetic improvement became an overnight success
Haraldsson S, Woodward J, Brownlee A & Siggeirsdottir K (2017) Fixing bugs in your sleep: How genetic improvement became an overnight success. In: 2017 Genetic and Evolutionary Computation Conference Companion, GECCO 2017. GECCO 2017: The Genetic and Evolutionary Computation Conference, Berlin, Germany, 15.07.2017-19.07.2017. New York: Association for Computing Machinery, Inc, pp. 1513-1520. https://doi.org/10.1145/3067695.3082517
Conference Proceeding
The Effect of Landscape Funnels in QAPLIB Instances
Thomson S, Ochoa G, Daolio F & Veerapen N (2017) The Effect of Landscape Funnels in QAPLIB Instances. In: Proceedings of the Genetic and Evolutionary Computation Conference Companion 2017, Berlin, Germany, July 15–19, 2017 (GECCO ’17). GECCO ’17: The Genetic and Evolutionary Computation Conference, Berlin, Germany, 15.07.2017-19.07.2017. New York: ACM, pp. 1495-1500. https://doi.org/10.1145/3067695.3082512
Conference Proceeding
Comparing Communities of Optima with Funnels in Combinatorial Fitness Landscapes
Thomson S, Daolio F & Ochoa G (2017) Comparing Communities of Optima with Funnels in Combinatorial Fitness Landscapes. In: Proceedings of the Genetic and Evolutionary Computation Conference 2017, Berlin, Germany, July 15–19, 2017 (GECCO ’17). GECCO ’17: The Genetic and Evolutionary Computation Conference, Berlin, Germany, 15.07.2017-19.07.2017. New York: ACM, pp. 377-384. https://doi.org/10.1145/3071178.3071211
Conference Proceeding
Sparse interpolation, the FFT algorithm and FIR filters
Briani M, Cuyt A & Lee W (2017) Sparse interpolation, the FFT algorithm and FIR filters. In: Gerdt V, Koepf W, Seiler W & Vorozhtsov E (eds.) Computer Algebra in Scientific Computing - 19th International Workshop, CASC 2017, Beijing, China, September 18-22, 2017, Proceedings. Lecture Notes in Computer Science (LNCS), 10490. 19th International Workshop on Computer Algebra in Scientific Computing, Beijing, China, 18.09.2017-22.09.2017. Cham, Switzerland: Springer International Publishing, pp. 27-39. https://doi.org/10.1007/978-3-319-66320-3
Conference Proceeding
High-dimensional simplexes for supermetric search
Connor R, Vadicamo L & Rabitti F (2017) High-dimensional simplexes for supermetric search. In: Beecks C, Borutta F, Kröger P & Seidl T (eds.) Similarity Search and Applications. SISAP 2017. Lecture Notes in Computer Science, 10609. Similarity Search and Applications 10th International Conference, SISAP 2017, Munich, 04.10.2017-06.10.2017. Cham, Switzerland: Springer, pp. 96-109. https://doi.org/10.1007/978-3-319-68474-1_7
Conference Proceeding
Validated exponential analysis for harmonic sounds
Briani M, Cuyt A & Lee W (2017) Validated exponential analysis for harmonic sounds. In: Torin A, Hamilton B, Bilbao S & Newton M (eds.) Proceedings of the 20th International Conference on Digital Audio Effects (DAFx-17). DAFx proceedings series. 20th International Conference on Digital Audio Effects, Edinburgh, UK, 05.09.2017-09.09.2017. Hamburg, Germany: University of Edinburgh, pp. 222-227. http://www.dafx17.eca.ed.ac.uk/Proceedings.html
Book Chapter
A Flexible Toolkit for Evaluating Person-Centred Digital Health and Wellness at Scale
McGee-Lennon M, Bouamrane M, Grieve E, O’Donnell CA, O’Connor S, Agbakoba R, Devlin AM, Barry S, Bikker A, Finch T & Mair FS (2017) A Flexible Toolkit for Evaluating Person-Centred Digital Health and Wellness at Scale. In: Advances in Human Factors and Ergonomics in Healthcare. Advances in Intelligent Systems and Computing, Vol 482. Springer International Publishing, pp. 105-118. https://link.springer.com/chapter/10.1007/978-3-319-41652-6_11; https://doi.org/10.1007/978-3-319-41652-6_11
Article
Land cover changes detection in polarimetric SAR data using algebra, similarity and distance based methods
Najafi A, Hasanlou M & Akbari V (2017) Land cover changes detection in polarimetric SAR data using algebra, similarity and distance based methods. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, XLII-4/W4, pp. 195--200. https://isprs-archives.copernicus.org/articles/XLII-4-W4/195/2017/; https://doi.org/10.5194/isprs-archives-XLII-4-W4-195-2017
Conference Proceeding
The use of predictive models in dynamic treatment planning
Haraldsson S, Brynjolfsdottir RD, Woodward J, Siggeirsdottir K & Gudnason V (2017) The use of predictive models in dynamic treatment planning. In: 2017 IEEE Symposium on Computers and Communications (ISCC). IEEE Symposium on Computers and Communications (ISCC 2017), Heraklion, Greece, 03.07.2017-06.07.2017. Piscataway, NJ, USA: IEEE, pp. 242-247. https://doi.org/10.1109/ISCC.2017.8024536
Conference Proceeding
Preventing Frail and Elderly Hospital Admissions: Developing an Evaluation Framework for the "Closer to Home" Quality Improvement Programme in NHS Forth Valley
(2017) Preventing Frail and Elderly Hospital Admissions: Developing an Evaluation Framework for the "Closer to Home" Quality Improvement Programme in NHS Forth Valley. DH '17: International Conference on Digital Health, London United Kingdom, 02.07.2017-05.07.2017. ACM. https://dl.acm.org/doi/abs/10.1145/3079452.3079481; https://doi.org/10.1145/3079452.3079481
Conference Paper (unpublished)
Iceberg detection in open water and sea ice using C-band radar polarimetry
Akbari V & Brekke C (2017) Iceberg detection in open water and sea ice using C-band radar polarimetry. 2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Fort Worth, TX, 23.07.2017-28.07.2017. https://doi.org/10.1109/igarss.2017.8127449
Conference Proceeding
Exploring Fitness and Edit Distance of Mutated Python Programs
Haraldsson S, Woodward J, Brownlee A & Cairns D (2017) Exploring Fitness and Edit Distance of Mutated Python Programs. In: McDermott J, Castelli M, Sekanina L, Haasdijk E & García-Sánchez P (eds.) Genetic Programming: 20th European Conference, EuroGP 2017, Amsterdam, The Netherlands, April 19-21, 2017, Proceedings. Lecture Notes in Computer Science, 10196. EuroGP 2017: Genetic Programming, Amsterdam, The Netherlands, 19.04.2017-21.04.2017. Cham: Springer International Publishing, pp. 19-34. https://doi.org/10.1007/978-3-319-55696-3_2
Article
Readiness for Delivering Digital Health at Scale: Lessons From a Longitudinal Qualitative Evaluation of a National Digital Health Innovation Program in the United Kingdom
Lennon MR, Bouamrane M, Devlin AM, O'Connor S, O'Donnell C, Chetty U, Agbakoba R, Bikker A, Grieve E, Finch T, Watson N, Wyke S & Mair FS (2017) Readiness for Delivering Digital Health at Scale: Lessons From a Longitudinal Qualitative Evaluation of a National Digital Health Innovation Program in the United Kingdom. Journal of Medical Internet Research, 19 (2), p. e42. https://www.jmir.org/2017/2/e42; https://doi.org/10.2196/jmir.6900
Conference Proceeding
A new fast large neighbourhood search for service network design with asset balance constraints
Bai R, Woodward J & Subramanian N (2017) A new fast large neighbourhood search for service network design with asset balance constraints. In: 2016 IEEE Symposium Series on Computational Intelligence (SSCI). 2016 IEEE Symposium Series on Computational Intelligence (SSCI), Athens, Greece, 06.12.2016-09.12.2016. Piscataway, NJ, USA: Institute of Electrical and Electronic Engineers, Inc. https://doi.org/10.1109/SSCI.2016.7850084
Conference Proceeding
Genetic optimization of fuzzy membership functions for cloud resource provisioning
Ullah A, Li J, Hussain A & Shen Y (2017) Genetic optimization of fuzzy membership functions for cloud resource provisioning. In: 2016 IEEE Symposium Series on Computational Intelligence (SSCI). 2016 IEEE Symposium Series on Computational Intelligence (SSCI), Athens, Greece, 06.12.2016-09.12.2016. Piscataway, NJ, USA: IEEE. https://doi.org/10.1109/SSCI.2016.7850088
Conference Proceeding
Variable Neighbourhood Search: A Case Study for a Highly-Constrained Workforce Scheduling Problem
Reid KN, Li J, Swan J, McCormick A & Owusu G (2016) Variable Neighbourhood Search: A Case Study for a Highly-Constrained Workforce Scheduling Problem. In: 2016 IEEE Symposium Series on Computational Intelligence (SSCI). IEEE SSCI 2016: IEEE Symposium Series on Computational Intelligence, Athens, Greece, 06.12.2016-09.12.2016. Piscataway, NJ, USA: IEEE. https://doi.org/10.1109/SSCI.2016.7850087
Conference Proceeding
GP vs GI: if you can't beat them, join them
Woodward J, Johnson C & Brownlee A (2016) GP vs GI: if you can't beat them, join them. In: Friedrich T (ed.) GECCO '16 Companion Proceedings of the 2016 on Genetic and Evolutionary Computation Conference Companion. Genetic and Evolutionary Computation Conference, GECCO-2016, Denver, CO, USA, 20.07.2016-24.07.2016. New York: ACM, pp. 1155-1156. https://doi.org/10.1145/2908961.2931694
Conference Proceeding
Evals is not enough: why we should report wall-clock time
Woodward J, Brownlee A & Johnson C (2016) Evals is not enough: why we should report wall-clock time. In: Friedrich T (ed.) GECCO '16 Companion Proceedings of the 2016 on Genetic and Evolutionary Computation Conference Companion. GECCO 2016: Genetic and Evolutionary Computation Conference, Denver, CO, USA, 20.07.2016-24.07.2016. New York: ACM, pp. 1157-1158. https://doi.org/10.1145/2908961.2931695
Conference Proceeding
Connecting automatic parameter tuning, genetic programming as a hyper-heuristic and genetic improvement programming
Woodward J, Johnson C & Brownlee A (2016) Connecting automatic parameter tuning, genetic programming as a hyper-heuristic and genetic improvement programming. In: Friedrich T (ed.) GECCO '16 Companion Proceedings of the 2016 on Genetic and Evolutionary Computation Conference Companion. GECCO 2016: Genetic and Evolutionary Computation Conference, Denver, CO, USA, 20.07.2016-24.07.2016. New York: ACM, pp. 1357-1358. https://doi.org/10.1145/2908961.2931728
Article
Implementation factors affecting the large-scale deployment of digital health and well-being technologies: A qualitative study of the initial phases of the ‘Living-It-Up’ programme
Agbakoba R, McGee-Lennon M, Bouamrane M, Watson N & Mair FS (2016) Implementation factors affecting the large-scale deployment of digital health and well-being technologies: A qualitative study of the initial phases of the ‘Living-It-Up’ programme. Health Informatics Journal, 22 (4), pp. 867-877. https://journals.sagepub.com/doi/full/10.1177/1460458215594651; https://doi.org/10.1177/1460458215594651
Conference Proceeding
A short-time Prony method for the detection of transients
Cuyt A, Lee W & Tsai M (2016) A short-time Prony method for the detection of transients. In: Papadrakakis M, Papadopoulos V, Stefanou G & Plevris V (eds.) ECCOMAS Congress 2016 - VII European Congress on Computational Methods in Applied Sciences and Engineering Proceedings. VII European Congress on Computational Methods in Applied Sciences and Engineering (ECCOMAS Congress 2016), Crete Island, Greece, 05.06.2016-10.06.2016. Athens, Greece: Institute of Structural Analysis and Antiseismic Research, National Technical University of Athens, pp. 4313-4321. https://www.eccomas2016.org/proceedings/pdf/7676.pdf
Conference Proceeding
Sparse interpolation and rational approximation
Cuyt A & Lee W (2016) Sparse interpolation and rational approximation. In: Hardin D, Lubinsky D & Simanek B (eds.) Modern Trends in Constructive Function Theory. Contemporary Mathematics, 661. Constructive Functions 2014 - Conference in Honor of Ed Saff's 70th Birthday, Nashville, TN, USA, 26.05.2014-30.05.2014. Providence, RI, USA: American Mathematical Society, pp. 229-242. https://bookstore.ams.org/conm-661
Other
Sparse Modelling and Multi-exponential Analysis
Cuyt A, Labahn G, Sidi A & Lee W (2016) Sparse Modelling and Multi-exponential Analysis. Dagstuhl Seminar 15251, Wadern, Germany Dagstuhl Reports, 6 (6), pp. 48-69. https://doi.org/10.4230/DagRep.5.6.48
Article
Visual Attention-Based Image Watermarking
Bhowmik D, Oakes M & Abhayaratne C (2016) Visual Attention-Based Image Watermarking. IEEE Access, 4, pp. 8002-8018. https://doi.org/10.1109/access.2016.2627241
Article
On tensor decomposition, sparse interpolation and Padé approximation
Cuyt A, Lee W & Yang X (2016) On tensor decomposition, sparse interpolation and Padé approximation. Jaen Journal on Approximation, 8 (1), pp. 33-58. http://www.ujaen.es/revista/jja/pdf/pre/jja-0008-01-16-3.pdf
Conference Proceeding
Subaperture analysis of polarimetric SAR data for iceberg detection
Akbari V, Doulgeris AP & Brekke C (2016) Subaperture analysis of polarimetric SAR data for iceberg detection. In: IGARSS 2016 - 2016 IEEE International Geoscience and Remote Sensing Symposium, Beijing, China, 10.07.2016-15.07.2016. New Jersey: IEEE. https://doi.org/10.1109/igarss.2016.7730480
Article
Quality Scalability Aware Watermarking for Visual Content
Bhowmik D & Abhayaratne C (2016) Quality Scalability Aware Watermarking for Visual Content. IEEE Transactions on Image Processing, 25 (11), pp. 5158-5172. https://doi.org/10.1109/tip.2016.2599785
Article
Towards unsupervised fluorescence lifetime imaging using low dimensional variable projection
Zhang Y, Cuyt A, Lee W, Lo Bianco G, Wu G, Chen Y & Li DD (2016) Towards unsupervised fluorescence lifetime imaging using low dimensional variable projection. Optics Express, 24 (23), pp. 26777-26791. https://doi.org/10.1364/oe.24.026777
Article
Towards a Biologically Inspired Soft Switching Approach for Cloud Resource Provisioning
Ullah A, Li J, Hussain A & Yang E (2016) Towards a Biologically Inspired Soft Switching Approach for Cloud Resource Provisioning. Cognitive Computation, 8 (5), pp. 992-1005. https://doi.org/10.1007/s12559-016-9391-y
Article
Combining transcranial ultrasound with intelligent communication methods to enhance the remote assessment and management of stroke patients: Framework for a technology demonstrator
Mort A, Eadie L, Regan L, Macaden A, Heaney D, Bouamrane M, Rushworth G & Wilson P (2016) Combining transcranial ultrasound with intelligent communication methods to enhance the remote assessment and management of stroke patients: Framework for a technology demonstrator. Health Informatics Journal, 22 (3), pp. 691-701. https://journals.sagepub.com/doi/full/10.1177/1460458215580353; https://doi.org/10.1177/1460458215580353
Conference Proceeding
Evolutionary Algorithms with Linkage Information for Feature Selection in Brain Computer Interfaces
Adair J, Brownlee A & Ochoa G (2016) Evolutionary Algorithms with Linkage Information for Feature Selection in Brain Computer Interfaces. In: Angelov P, Gegov A, Jayne C & Shen Q (eds.) Advances in Computational Intelligence Systems: Contributions Presented at the 16th UK Workshop on Computational Intelligence, September 7–9, 2016, Lancaster, UK. Advances in Intelligent Systems and Computing, 513. UKCI 2016 - 16th UK Workshop on Computational Intelligence, Lancaster, 07.09.2016-09.09.2016. London: Springer, pp. 287-307. https://doi.org/10.1007/978-3-319-46562-3_19
Article
From Spin to Swindle: Identifying Falsification in Financial Text
Minhas S & Hussain A (2016) From Spin to Swindle: Identifying Falsification in Financial Text. Cognitive Computation, 8 (4), pp. 729-745. https://doi.org/10.1007/s12559-016-9413-9
Conference Proceeding
Metaheuristic Design Pattern: Surrogate Fitness Functions
Brownlee A, Woodward J & Swan J (2016) Metaheuristic Design Pattern: Surrogate Fitness Functions. In: Silva S (ed.) GECCO Companion '15 Proceedings of the Companion Publication of the 2015 Annual Conference on Genetic and Evolutionary Computation. GECCO 2015: Annual Conference on Genetic and Evolutionary Computation, Madrid, Spain, 11.07.2015-15.07.2015. New York: ACM, pp. 1261-1264. https://doi.org/10.1145/2739482.2768499
Article
Polarimetric SAR Change Detection With the Complex Hotelling–Lawley Trace Statistic
Akbari V, Anfinsen SN, Doulgeris AP, Eltoft T, Moser G & Serpico SB (2016) Polarimetric SAR Change Detection With the Complex Hotelling–Lawley Trace Statistic. IEEE Transactions on Geoscience and Remote Sensing, 54 (7), pp. 3953-3966. https://doi.org/10.1109/tgrs.2016.2532320
Newspaper Article
Why everyone should have to learn computer programming
Woodward J & Fayed M (2016) Why everyone should have to learn computer programming. The Conversation. 13.07.2016. https://theconversation.com/why-everyone-should-have-to-learn-computer-programming-62328
Article
Delivering digital health and well-being at scale: lessons learned during the implementation of the dallas program in the United Kingdom
Devlin AM, McGee-Lennon M, O’Donnell CA, Bouamrane M, Agbakoba R, O’Connor S, Grieve E, Finch T, Wyke S, Watson N, Browne S, Mair FS & the “dallas” evaluation team (2016) Delivering digital health and well-being at scale: lessons learned during the implementation of the dallas program in the United Kingdom. JAMIA, Journal of the American Medical Informatics Association, 23 (1), pp. 48-59. https://academic.oup.com/jamia/article/23/1/48/2379990; https://doi.org/10.1093/jamia/ocv097
Article
Numerical reconstruction of convex polytopes from directional moments
Collowald M, Cuyt A, Hubert E, Lee W & Salazar Celis O (2015) Numerical reconstruction of convex polytopes from directional moments. Advances in Computational Mathematics, 41 (6), pp. 1079-1099. https://doi.org/10.1007/s10444-014-9401-0
Conference Proceeding
Haiku - a Scala combinator toolkit for semi-automated composition of metaheuristics
Attila Kocsis Z, Brownlee A, Swan J & Senington R (2015) Haiku - a Scala combinator toolkit for semi-automated composition of metaheuristics. In: Barros M & Labiche Y (eds.) Search-Based Software Engineering: 7th International Symposium, SSBSE 2015, Bergamo, Italy, September 5-7, 2015, Proceedings. Lecture Notes in Computer Science, 9275. 7th International Symposium, SSBSE 2015, Bergamo, Italy, 05.09.2015-07.09.2015. Cham, Switzerland: Springer, pp. 125-140. https://doi.org/10.1007/978-3-319-22183-0_9
Conference Proceeding
Embedded Dynamic Improvement
Burles N, Swan J, Bowles E, Brownlee A, Attila Kocsis Z & Veerapen N (2015) Embedded Dynamic Improvement. In: Silva S (ed.) GECCO Companion '15 Proceedings of the Companion Publication of the 2015 on Genetic and Evolutionary Computation Conference. GECCO '15 Genetic and Evolutionary Computation Conference 2015, Madrid, Spain, 11.07.2015-15.07.2015. New York: ACM, pp. 831-832. https://doi.org/10.1145/2739482.2768423
Conference Proceeding
Empirical Evaluation of Pareto Efficient Multi-objective Regression Test Case Prioritisation
Epitropakis M, Yoo S, Harman M & Burke E (2015) Empirical Evaluation of Pareto Efficient Multi-objective Regression Test Case Prioritisation. In: International Symposium on Software Testing and Analysis (ISSTA'15). International Symposium on Software Testing and Analysis (ISSTA'15), Baltimore, MD, USA, 12.07.2015-17.07.2015. New York, NY, USA: ACM, pp. 234-245. https://doi.org/10.1145/2771783.2771788
Conference Proceeding
Patient Preoperative Web Portal for Remote, Self-completed Assessment & Triage: a Feasibility Study
(2015) Patient Preoperative Web Portal for Remote, Self-completed Assessment & Triage: a Feasibility Study. Electronic Workshops in Computing (eWiC) BCS Health Informatics Scotland, Edinburgh Surgeons' Hall, 07.10.2015-08.10.2015. British Computer Society - BCS eWiC. https://www.scienceopen.com/hosted-document?doi=10.14236/ewic/HIS2015.1
Article
An Integer Linear Programming approach to the single and bi-objective Next Release Problem
Veerapen N, Ochoa G, Harman M & Burke E (2015) An Integer Linear Programming approach to the single and bi-objective Next Release Problem. Information and Software Technology, 65, pp. 1-13. https://doi.org/10.1016/j.infsof.2015.03.008
Book Chapter
Agbakoba EtAl-Medinfo-2015
Bouamrane M (2015) Agbakoba EtAl-Medinfo-2015. In: in Proceedings of MEDINFO 2015: eHealth-enabled Health. Studies in Health Technology and Informatics, Volume 216. IOS Press, pp. 487 - 491. https://ebooks.iospress.nl/doi/10.3233/978-1-61499-564-7-487; https://doi.org/10.3233/978-1-61499-564-7-487
Conference Paper (unpublished)
Generalized minimum-error thresholding for unsupervised change detection from multilook polarimetric SAR data
Ghanbari M & Akbari V (2015) Generalized minimum-error thresholding for unsupervised change detection from multilook polarimetric SAR data. IGARSS 2015 - 2015 IEEE International Geoscience and Remote Sensing Symposium, Milan, Italy, 26.07.2015-31.07.2015. https://doi.org/10.1109/igarss.2015.7326153
Conference Proceeding
Genetic Improvement of Energy Usage is only as Reliable as the Measurements are Accurate
Haraldsson S & Woodward J (2015) Genetic Improvement of Energy Usage is only as Reliable as the Measurements are Accurate. In: Silva S (ed.) GECCO Companion '15: Proceedings of the Companion Publication of the 2015 Annual Conference on Genetic and Evolutionary Computation. GECCO 2015: Genetic and Evolutionary Computation Conference, Madrid, Spain, 11.07.2015-15.07.2015. New York: ACM, pp. 821-822. http://dl.acm.org/citation.cfm?id=2768421; https://doi.org/10.1145/2739482.2768421
Conference Paper (unpublished)
A change detector for polarimetric SAR data based on the relaxed Wishart distribution
Akbari V, Anfinsen SN, Doulgeris AP & Eltoft T (2015) A change detector for polarimetric SAR data based on the relaxed Wishart distribution. 2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Milan, 26.07.2015-31.07.2015. https://doi.org/10.1109/igarss.2015.7326653
Conference Proceeding
Object-Oriented Genetic Improvement for Improved Energy Consumption in Google Guava
Burles N, Bowles E, Brownlee A, Attila Kocsis Z, Swan J & Veerapen N (2015) Object-Oriented Genetic Improvement for Improved Energy Consumption in Google Guava. In: Barros M & Labiche Y (eds.) Search-Based Software Engineering. Lecture Notes in Computer Science, 9275. Symposium on Search-Based Software Engineering (SSBSE 2015), Bergamo, Italy, 05.09.2015-07.09.2015. Switzerland: Springer International Publishing, pp. 255-261. http://dx.doi.org/10.1007/978-3-319-22183-0_20; https://doi.org/10.1007/978-3-319-22183-0_20
Conference Proceeding
Benchmarks That Matter for Genetic Programming
Woodward J, Martin S & Swan J (2014) Benchmarks That Matter for Genetic Programming. In: Proceedings of the 2014 Conference Companion on Genetic and Evolutionary Computation Companion. GECCO Comp '14. GECCO 2014: Genetic and Evolutionary Computation Conference, Vancouver, BC, Canada, 12.07.2014-16.04.2014. New York, NY, USA: ACM, pp. 1397-1404. http://doi.acm.org/10.1145/2598394.2609875; https://doi.org/10.1145/2598394.2609875
Conference Proceeding
The 'Composite' Design Pattern in Metaheuristics
Woodward J, Swan J & Martin S (2014) The 'Composite' Design Pattern in Metaheuristics. In: GECCO Comp '14: Proceedings of the 2014 Conference Companion on Genetic and Evolutionary Computation Companion. GECCO Comp '14. GECCO 2014: Genetic and Evolutionary Computation Conference, Vancouver, BC, USA, 12.07.2014-16.07.2014. New York, NY, USA: ACM, pp. 1439-1444. http://doi.acm.org/10.1145/2598394.2609848; https://doi.org/10.1145/2598394.2609848