Conference Paper (published)
Antenna position estimation through sub-sampled exponential analysis of harmonically related input signals
Louw R, Knaepkens F, Cuyt A, Lee W, Wijnholds SJ, de Villiers DIL & Weideman R (2021) Antenna position estimation through sub-sampled exponential analysis of harmonically related input signals. In: Proceedings of XXXIV General Assembly and Scientific Symposium (GASS) of the International Union of Radio Science (Union Radio Scientifique International - URSI). XXXIV General Assembly and Scientific Symposium (GASS) of the International Union of Radio Science (Union Radio Scientifique International - URSI), Rome, Italy, 28.08.2021-04.09.2021. Piscataway, NJ, USA: IEEE. https://doi.org/10.23919/URSIGASS51995.2021.9560519
Article
A Review and Comparison of the State-of-the-Art Techniques for Atrial Fibrillation Detection and Skin Hydration
Liaqat S, Dashtipour K, Zahid A, Arshad K, Ullah S, Assaleh K & Ramzan N (2021) A Review and Comparison of the State-of-the-Art Techniques for Atrial Fibrillation Detection and Skin Hydration. Frontiers in Communications and Network, 2, Art. No.: 679502. https://doi.org/10.3389/frcmn.2021.679502
Article
Remote diagnosis of surgical-site infection using a mobile digital intervention: a randomised controlled trial in emergency surgery patients
McLean KA, Mountain KE, Shaw CA, Drake TM, Pius R, Knight SR, Fairfield CJ, Sgrò A, Bouamrane M, Cambridge WA, Lyons M, Riad A, Skipworth RJE, Wigmore SJ, Potter MA & Harrison EM (2021) Remote diagnosis of surgical-site infection using a mobile digital intervention: a randomised controlled trial in emergency surgery patients. npj Digital Medicine, 4 (1). https://www.nature.com/articles/s41746-021-00526-0; https://doi.org/10.1038/s41746-021-00526-0
Article
Improved Unequal-Clustering and Routing Protocol
Alharbi MA & Kolberg M (2021) Improved Unequal-Clustering and Routing Protocol. IEEE Sensors Journal, 21 (20), pp. 23711-23721. https://doi.org/10.1109/jsen.2021.3111698
Article
A Novel Context-Aware Multimodal Framework for Persian Sentiment Analysis
Dashtipour K, Gogate M, Cambria E & Hussain A (2021) A Novel Context-Aware Multimodal Framework for Persian Sentiment Analysis. Neurocomputing, 457, pp. 377-388. https://doi.org/10.1016/j.neucom.2021.02.020
Article
Binocular vision supports the development of scene segmentation capabilities: Evidence from a deep learning model
Goutcher R, Barrington C, Hibbard PB & Graham B (2021) Binocular vision supports the development of scene segmentation capabilities: Evidence from a deep learning model. Journal of Vision, 21 (7), Art. No.: 13. https://doi.org/10.1167/jov.21.7.13
Conference Paper (published)
Adopting Transition Point Technique for Persian Sentiment Analysis
Dashtipour K, Gogate M, Gelbukh A & Hussain A (2021) Adopting Transition Point Technique for Persian Sentiment Analysis. In: TBC. ICOTEN 2021: International Congress of Advanced Technology and Engineering, Virtual, 04.07.2021-05.07.2021. Piscataway, NJ, USA: IEEE.
Conference Paper (published)
Persian Sentence-level Sentiment Polarity Classification
Dashtipour K, Gogate M, Gelbukh A & Hussain A (2021) Persian Sentence-level Sentiment Polarity Classification. In: TBC. ICOTEN 2021: International Congress of Advanced Technology and Engineering, Virtual, 04.07.2021-05.07.2021. Piscataway, NJ, USA: IEEE.
Article
Alternative and Augmentative Communication Technologies for Supporting Adults With Mild Intellectual Disabilities During Clinical Consultations: Scoping Review
Gibson RC, Bouamrane M & Dunlop MD (2021) Alternative and Augmentative Communication Technologies for Supporting Adults With Mild Intellectual Disabilities During Clinical Consultations: Scoping Review. JMIR Rehabilitation and Assistive Technologies, 8 (2), p. e19925. https://rehab.jmir.org/2021/2/e19925; https://doi.org/10.2196/19925
Article
Sentiment analysis of persian movie reviews using deep learning
Dashtipour K, Gogate M, Adeel A, Larijani H & Hussain A (2021) Sentiment analysis of persian movie reviews using deep learning. Entropy, 23 (5), Art. No.: 596. https://doi.org/10.3390/e23050596
Commentary
On plants and principles
Linson A, Ponkshe A & Calvo P (2021) On plants and principles. Commentary on: Birch, J., Ginsburg, S. & Jablonka, E. Unlimited Associative Learning and the origins of consciousness: a primer and some predictions. Biol Philos 35, 56 (2020). https://doi.org/10.1007/s10539-020-09772-0. Biology and Philosophy, 36 (2), pp. 1-4, Art. No.: 19. https://doi.org/10.1007/s10539-021-09793-3
Article
A hybrid posture detection framework: Integrating machine learning and deep neural networks
Liaqat S, Dashtipour K, Arshad K, Assaleh K & Ramzan N (2021) A hybrid posture detection framework: Integrating machine learning and deep neural networks. IEEE Sensors Journal, 21 (1), pp. 9515-9522. https://doi.org/10.1109/jsen.2021.3055898
Article
Novel Deep Convolutional Neural Network-Based Contextual Recognition of Arabic Handwritten Scripts
Ahmed R, Gogate M, Tahir A, Dashtipour K, Al-tamimi B, Hawalah A, El-Affendi MA & Hussain A (2021) Novel Deep Convolutional Neural Network-Based Contextual Recognition of Arabic Handwritten Scripts. Entropy, 23 (3), Art. No.: 340. https://doi.org/10.3390/e23030340
Article
Robust Visual Saliency Optimization Based on Bidirectional Markov Chains
Jiang F, Kong B, Li J, Dashtipour K & Gogate M (2021) Robust Visual Saliency Optimization Based on Bidirectional Markov Chains. Cognitive Computation, 13 (1), pp. 69-80. https://doi.org/10.1007/s12559-020-09724-6
Article
Automating the ABCD Rule for Melanoma Detection: A Survey
Ali A, Li J & Yang G (2020) Automating the ABCD Rule for Melanoma Detection: A Survey. IEEE Access, 8, pp. 83333-83346. https://doi.org/10.1109/access.2020.2991034
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
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
Article
COVID-19 predictability in the United States using Google Trends time series
Mavragani A & Gkillas K (2020) COVID-19 predictability in the United States using Google Trends time series. Scientific Reports, 10 (1), Art. No.: 20693. https://doi.org/10.1038/s41598-020-77275-9
Article
Risk appetite and jumps in realized correlation
Demirer R, Gkillas K, Kountzakis C & Mavragani A (2020) Risk appetite and jumps in realized correlation. Mathematics, 8 (12), Art. No.: 2255. https://doi.org/10.3390/math8122255
Conference Paper (published)
The Variational InfoMax AutoEncoder
Crescimanna V & Graham B (2020) The Variational InfoMax AutoEncoder. In: 2020 International Joint Conference on Neural Networks. IEEE International Joint Conference on Neural Networks (IJCNN) IJCNN 2020 - International Joint Conference on Neural Networks, Glasgow, UK, 19.07.2020-24.07.2020. Piscataway, NJ: IEEE. https://doi.org/10.1109/IJCNN48605.2020.9207048
Article
Sparse multidimensional exponential analysis with an application to radar imaging
Cuyt A, Hou Y, Knaepkens F & Lee W (2020) Sparse multidimensional exponential analysis with an application to radar imaging. SIAM Journal on Scientific Computing, 42 (3), p. B675–B695. https://doi.org/10.1137/19M1278004
Conference Paper (published)
Offline arabic handwriting recognition using deep machine learning: A review of recent advances
Ahmed R, Dashtipour K, Gogate M, Raza A, Zhang R, Huang K, Hawalah A, Adeel A & Hussain A (2020) Offline arabic handwriting recognition using deep machine learning: A review of recent advances. In: Ren J, Hussain A, Zhao H, Huang K, Zheng J, Cai J, Chen R & Xiao Y (eds.) Advances in Brain Inspired Cognitive Systems. BICS 2019. Lecture Notes in Computer Science, 11691. BICS 2019: 10th International Conference on Brain Inspired Cognitive Systems, Guangzhou, China, 13.07.2019-14.07.2019. Cham, Switzerland: Springer, pp. 457-468. https://doi.org/10.1007/978-3-030-39431-8_44
Conference Paper (published)
PerSent 2.0: Persian sentiment lexicon enriched with domain-specific words
Dashtipour K, Raza A, Gelbukh A, Zhang R, Cambria E & Hussain A (2020) PerSent 2.0: Persian sentiment lexicon enriched with domain-specific words. In: Ren J, Hussain A, Zhao H, Huang K, Zheng J, Cai J, Chen R & Xiao Y (eds.) Advances in Brain Inspired Cognitive Systems. BICS 2019. Lecture Notes in Computer Science, 11691. BICS 2019: 10th International Conference on Brain Inspired Cognitive Systems, Guangzhou, China, 13.07.2019-14.07.2019. Cham, Switzerland: Springer, pp. 497-509. https://doi.org/10.1007/978-3-030-39431-8_48
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
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
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
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
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
Contextual deep learning-based audio-visual switching for speech enhancement in real-world environments
Adeel A, Gogate M & Hussain A (2020) Contextual deep learning-based audio-visual switching for speech enhancement in real-world environments. Information Fusion, 59, pp. 163-170. https://doi.org/10.1016/j.inffus.2019.08.008
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
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
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
Article
A Novel Real-Time, Lightweight Chaotic-Encryption Scheme for Next-Generation Audio-Visual Hearing Aids
Adeel A, Ahmad J, Larijani H & Hussain A (2020) A Novel Real-Time, Lightweight Chaotic-Encryption Scheme for Next-Generation Audio-Visual Hearing Aids. Cognitive Computation, 12, pp. 589-601. https://doi.org/10.1007/s12559-019-09653-z
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 novel statistical analysis and autoencoder driven intelligent intrusion detection approach
Ieracitano C, Adeel A, Morabito FC & Hussain A (2020) A novel statistical analysis and autoencoder driven intelligent intrusion detection approach. Neurocomputing, 387, pp. 51-62. https://doi.org/10.1016/j.neucom.2019.11.016
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
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 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)
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 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
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)
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
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: Riano D, Wilk S & ten Teije A (eds.) Artificial Intelligence in Medicine: 17th Conference on Artificial Intelligence in Medicine, AIME 2019, Poznan, Poland, June 26–29, 2019, Proceedings. Lecture Notes in Computer Science, LNCS volume 11526. Cham: Springer International Publishing, pp. 376-385. https://doi.org/10.1007/978-3-030-21642-9_48
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: Bramer M & Petridis M (eds.) Artificial Intelligence XXXVI: 39th SGAI International Conference on Artificial Intelligence, AI 2019, Cambridge, UK, December 17–19, 2019, Proceedings. Lecture Notes in Computer Science. Springer International Publishing, pp. 107-121. https://doi.org/10.1007/978-3-030-34885-4_8
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: Ohno-Machado L & Seroussi B (eds.) MEDINFO 2019: Health and Wellbeing e-Networks for All. Studies in Health Technology and Informatics, Volume 264. IOS Press, pp. 1199 - 1203. https://doi.org/10.3233/SHTI190416
Book Chapter
Characteristics and hospital activity of elderly patients receiving admission avoidance home visits: a population-level record linkage study
Cristina Martin M, Bouamrane M, Woolman P, Kavanagh K & Young D (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: Ohno-Machado L & Seroussi B (eds.) MEDINFO 2019: Health and Wellbeing e-Networks for All. Studies in Health Technology and Informatics, Vol 264. IOS Press, pp. 556 - 560. https://doi.org/10.3233/shti190284
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
Conference Paper (published)
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
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
Edited Proceedings
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://doi.org/10.1109/cbms.2019.00051
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
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), Art. No.: 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://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
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
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 Paper (published)
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
Conference Paper (published)
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 Paper (published)
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 Paper (published)
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
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
Conference Paper (published)
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
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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 Paper (published)
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 Paper (published)
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 Paper (published)
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
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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 Paper (published)
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 Paper (published)
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
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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 Paper (published)
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
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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
Edited Proceedings
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://doi.org/10.1145/3229434.3229469
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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
Conference Abstract
P06-3 - Using machine learning for predicting severe postoperative complications after cardiac surgery
Lapp L, Young D, Kavanagh K, Bouamrane M & Schraag S (2018) P06-3 - Using machine learning for predicting severe postoperative complications after cardiac surgery. Journal of Cardiothoracic and Vascular Anesthesia, 32 (Supplement 1), pp. S84-S85. https://doi.org/10.1053/j.jvca.2018.08.156
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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
Conference 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
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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
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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
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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 Paper (published)
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
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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
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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 Paper (published)
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 Paper (published)
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 Paper (published)
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 Paper (published)
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
