Showing 1 to 100 of 448
Conference Proceeding
Graham K, Thomson S & Brownlee A (2023) Unexplained Fluctuations in Particle Swarm Optimisation Performance with Increasing Problem Dimensionality. In: GECCO '23 Companion: Proceedings of the Companion Conference on Genetic and Evolutionary Computation. The Genetic and Evolutionary Computation Conference (GECCO) 2023, Lisbon, 15.07.2023-19.07.2023. New York: ACM, pp. 67-68.
Conference Proceeding
Explaining A Staff Rostering Problem By Mining Trajectory Variance Structures
Fyvie M, McCall JAW, Christie LA, Zavoianu A, Brownlee AEI & Ainslie R (2023) Explaining A Staff Rostering Problem By Mining Trajectory Variance Structures. In: TBC. Lecture Notes in Artificial Intelligence. AI-2023 Forty-third SGAI International Conference on Artificial Intelligence, Cambridge, 12.12.2023-14.12.2023. Cham, Switzerland: Springer.
Book Chapter
Enhancing Genetic Improvement Mutations Using Large Language Models
Brownlee A, Callan J, Even-Mendoza K, Geiger A, Hanna C, Petke J, Sarro F & Sobania D (2023) Enhancing Genetic Improvement Mutations Using Large Language Models. In: Arcaini P, Yue T & Fredericks EM (eds.) Search-Based Software Engineering: 15th International Symposium, SSBSE 2023, San Francisco, CA, USA, December 8, 2023, Proceedings. Lecture Notes in Computer Science. Cham, Switzerland: Springer. https://link.springer.com/book/9783031487958
Article
Text mining of veterinary forums for epidemiological surveillance supplementation
Munaf S, Swingler K, Brülisauer F, O’Hare A, Gunn G & Reeves A (2023) Text mining of veterinary forums for epidemiological surveillance supplementation. Social Network Analysis and Mining, 13 (1), Art. No.: 121 (2023). https://doi.org/10.1007/s13278-023-01131-7
Article
DeSSR: a Decentralized, Broadcast-Based Scalable Scheduling Reservation Protocol for 6TiSCH Networks
Kumar K & Kolberg M (2023) DeSSR: a Decentralized, Broadcast-Based Scalable Scheduling Reservation Protocol for 6TiSCH Networks. IEEE Internet of Things Journal. https://doi.org/10.1109/jiot.2023.3338289
Conference Proceeding
Evaluating Explanations for Software Patches Generated by Large Language Models
Sobania D, Geiger A, Callan J, Brownlee A, Hanna C, Moussa R, Zamorano López M, Petke J & Sarro F (2023) Evaluating Explanations for Software Patches Generated by Large Language Models. In: Symposium on Search-Based Software Engineering- Challenge Track, San Francisco, CA, USA, 08.12.2023-08.12.2023.
Article
Towards Explainable Metaheuristics: Feature Extraction from Trajectory Mining
Fyvie M, Mccall J, Christie L, Brownlee A & Singh M (2023) Towards Explainable Metaheuristics: Feature Extraction from Trajectory Mining. Expert Systems, Art. No.: e13494. https://doi.org/10.1111/exsy.13494
Conference Proceeding
From Fitness Landscapes to Explainable AI and Back
Thomson S, Adair J, Brownlee A & van den Berg D (2023) From Fitness Landscapes to Explainable AI and Back. In: GECCO '23 Companion. Gecco '23: The Genetic and Evolutionary Computation Conference, Lisbon, 15.07.2023-19.07.2023. New York: ACM. https://doi.org/10.1145/3583133.3596395
Conference Proceeding
Channel Configuration for Neural Architecture: Insights from the Search Space
Thomson SL, Ochoa G, Veerapen N & Michalak K (2023) Channel Configuration for Neural Architecture: Insights from the Search Space. In: TBC. The Genetic and Evolutionary Computation Conference (GECCO) 2023, Lisbon, Portugal, 15.07.2023-19.07.2023. New York: ACM. https://doi.org/10.1145/nnnnnnn.nnnnnnn
Conference Proceeding
Randomness in Local Optima Network Sampling
Thomson S, Veerapen N, Ochoa G & van den Berg D (2023) Randomness in Local Optima Network Sampling. In: GECCO ’23 Companion: Genetic and Evolutionary Computation Conference Companion. GECCO '23, Lisbon (hybrid), 15.07.2023-19.07.2023. New York: ACM. https://doi.org/10.1145/3583133.3596309
Article
Multiscale matrix pencils for separable reconstruction problems
Cuyt A & Lee W (2023) Multiscale matrix pencils for separable reconstruction problems. Numerical Algorithms. https://doi.org/10.1007/s11075-023-01564-3
Book Chapter
Prediction of Suicidal Risk using Machine Learning Models
Kashyap G, Siddiqui A, Siddiqui R, Malik K, Wazir S & Brownlee A Prediction of Suicidal Risk using Machine Learning Models. In: Research Advances in Intelligent Computing (Volume 2). CRC Press / Yalor and Francis.
Book Chapter
Detection of a facemask in real-time using deep learning methods: Prevention of Covid 19
Kashyap G, Sohlot J, Siddiqui A, Siddiqui R, Malik K, Wazir S & Brownlee A (2023) Detection of a facemask in real-time using deep learning methods: Prevention of Covid 19. In: Research Advances in Network Technologies (Volume 2). CRC Press / Taylor and Francis.
Article
Program Transformation Landscapes for Automated Program Modification Using Gin
Petke J, Alexander B, Barr ET, Brownlee A, Wagner M & White D (2023) Program Transformation Landscapes for Automated Program Modification Using Gin. Empirical Software Engineering.
Conference Proceeding
Updating Gin's profiler for current Java
Watkinson M & Brownlee A (2023) Updating Gin's profiler for current Java. Wagner M (Researcher) In: GI '23: Proceedings of the 12th International Workshop on Genetic Improvement. The 12th International Workshop on Genetic Improvement, at the International Conference on Software Engineering, Melbourne, Australia, 14.05.2023-20.05.2023. New York: ACM.
Book Chapter
Wazir S, Kashyap GS, Malik K & Brownlee A (2023) Predicting the Infection Level of Covid-19 Virus using Normal Distribution Based Approximation Model and PSO. In: Mathematical Modeling and Intelligent Control for Combating Pandemics. Springer.
Other
Evolutionary Computation and Explainable AI: a year in review
Bacardit J, Brownlee A, Cagnoni S, Iacca G, McCall J & Walker D (2023) Evolutionary Computation and Explainable AI: a year in review. EvoStar, Brno, Czech Republic (hybrid), 12.04.2023-14.04.2023.
Article
Seafood in Food Security: A Call for Bridging the Terrestrial-Aquatic Divide
Stetkiewicz S, Norman RA, Allison EH, Coffee P, Crumlish M, Eltholth M, Falconer L, Kaminski AM, Leschen W, McAdam B, Newton R, Pounds A, Schapper A, Young JA & Little DC (2022) Seafood in Food Security: A Call for Bridging the Terrestrial-Aquatic Divide. Frontiers in Sustainable Food Systems, 5, Art. No.: 703152. https://doi.org/10.3389/fsufs.2021.703152
Article
Falconer L, Telfer TC, Garrett A, Hermansen Ø, Mikkelsen E, Hjøllo SS, McAdam BJ & Ytteborg E (2022) Insight into real-world complexities is required to enable effective response from the aquaculture sector to climate change. PLOS Climate, 1 (3), Art. No.: e0000017. https://doi.org/10.1371/journal.pclm.0000017
Conference Proceeding
Towards Explainable Metaheuristic: Mining Surrogate Fitness Models for Importance of Variables
Singh M, Brownlee AEI & Cairns D (2022) Towards Explainable Metaheuristic: Mining Surrogate Fitness Models for Importance of Variables. In: GECCO '22: Proceedings of the Genetic and Evolutionary Computation Conference Companion. GECCO '22:, Boston, USA, 09.07.2022-13.07.2022. New York: ACM, pp. 1785-1793. https://doi.org/10.1145/3520304.3533966
Conference Proceeding
Fractal Dimension and Perturbation Strength: A Local Optima Networks View
Thomson SL, Ochoa G & Verel S (2022) Fractal Dimension and Perturbation Strength: A Local Optima Networks View. In: Rudolph G, Kononova AV, Aguirre H, Kerschke P, Ochoa G & Tušar T (eds.) Parallel Problem Solving from Nature. Lecture Notes in Computer Science, 13398. Parallel Problem Solving from Nature – PPSN XVII 17th International Conference, PPSN 2022, Dortmund, Germany, 10.09.2022-14.09.2022. Cham, Switzerland: Springer, pp. 562-574. https://doi.org/10.1007/978-3-031-14714-2_39
Conference Proceeding
Capturing Malware Behaviour with Ontology-based Knowledge Graphs
Chowdhury IR & Bhowmik D (2022) Capturing Malware Behaviour with Ontology-based Knowledge Graphs. In: 2022 IEEE Conference on Dependable and Secure Computing (DSC). IEEE Conference on Dependable and Secure Computing (IEEE DSC 2022), Edinburgh, 22.06.2022-24.06.2022. Piscataway, NJ, USA: IEEE. https://doi.org/10.1109/DSC54232.2022.9888860
Conference Proceeding
Universally Hard Hamiltonian Cycle Problem Instances
Sleegers J, Thomson SL & Van Den Berg D (2022) Universally Hard Hamiltonian Cycle Problem Instances. In: Bäck T, van Stein B, Wagner C, Garibaldi J, Lam H, Cottrell M, Doctor F, Filipe J, Warwick K & Kacprzyk J (eds.) Proceedings of the 14th International Joint Conference on Computational Intelligence - ECTA. ECTA 2022 : 14th International Conference on Evolutionary Computation Theory and Applications, Valletta, Malta, 24.10.2022-26.11.2022. SCITEPRESS – Science and Technology Publications, pp. 105-111. https://doi.org/10.5220/0011531900003332
Article
An Interval Type-2 Fuzzy Logic Based Map Matching Algorithm for Airport Ground Movements
Wang X, Brownlee AEI, Weiszer M, Woodward JR, Mahfouf M & Chen J (2022) An Interval Type-2 Fuzzy Logic Based Map Matching Algorithm for Airport Ground Movements. IEEE Transactions on Fuzzy Systems, 31 (2), pp. 582-595. https://doi.org/10.1109/TFUZZ.2022.3221793
Other
Exponential Analysis: Theoretical Progress and Technological Innovation
Cuyt A, Lee W, Plonka-Hoch G & Knaepkens F (2022) Exponential Analysis: Theoretical Progress and Technological Innovation. Dagstuhl Seminar 22221, Wadern, Germany Dagstuhl Reports, 12 (5), pp. 170-187. https://doi.org/10.4230/DagRep.12.5.170
Article
Goranova M, Ochoa G, Maier P & Hoyle A (2022) Evolutionary optimisation of antibiotic dosing regimens for bacteria with different levels of resistance. Artificial Intelligence in Medicine, 133, Art. No.: 102405. https://doi.org/10.1016/j.artmed.2022.102405
Conference Paper (unpublished)
Akbari V, Datta A, Bhowmik D, Marino A, Kumar S, Rupavatharam S, Prabhu GN, Kleczkowski A, R. P. Sujeetha JA & Maharaj S (2022) Multitemporal multispectral drone imagery for water hyacinth mapping in Patancheru lake, Hyderabad, India. Bostater CR (Editor) & Neyt X (Editor) Remote Sensing of the Ocean, Sea Ice, Coastal Waters, and Large Water Regions 2022, Berlin, Germany, 05.09.2022-08.09.2022. https://doi.org/10.1117/12.2639004
Article
Validated analysis of modulated signals: From de Prony to Padé and beyond
Cuyt A, Hou Y & Lee W (2022) Validated analysis of modulated signals: From de Prony to Padé and beyond. Journal of Computational and Applied Mathematics, 413, Art. No.: 114346. https://doi.org/10.1016/j.cam.2022.114346
Speech
Maltinsky W, Manuf S, Den Daas C, Ozakinci G, Gaitens H & Swingler K (2022) Using readily available social media data to describe sentiments towards transmission-reducing behaviours during the Covid pandemic., 23.08.2022-27.08.2022.
Conference Proceeding
The intersection of Evolutionary Computation and Explainable AI Anonymous authors
Bacardit J, Brownlee A, Cagnoni S, Iacca G, McCall J & Walker D (2022) The intersection of Evolutionary Computation and Explainable AI Anonymous authors. In: Genetic and Evolutionary Computation Conference: GECCO '22, Boston, MA, USA, 09.07.2022-13.07.2022. New York: ACM. https://gecco-2022.sigevo.org/HomePage
Article
Brownlee AEI, Epitropakis MG, Mulder J, Paelinck M & Burke EK (2022) A systematic approach to parameter optimization and its application to flight schedule simulation software. Journal of Heuristics. https://doi.org/10.1007/s10732-022-09501-8
Article
Ieracitano C, Mammone N, Versaci M, Varone G, Ali A, Armentano A, Calabrese G, Ferrarelli A, Turano L, Tebala C, Hussain Z, Sheikh Z, Sheikh A, Sceni G, Hussain A & Morabito FC (2022) A Fuzzy-enhanced Deep Learning Approach for Early Detection of Covid-19 Pneumonia from Portable Chest X-Ray Images. Neurocomputing, 481, pp. 202-215. https://doi.org/10.1016/j.neucom.2022.01.055
Conference Proceeding
Decomposing Textures Using Exponential Analysis
Hou Y, Cuyt A, Lee W & Bhowmik D (2021) Decomposing Textures Using Exponential Analysis. In: ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE International Conference on Acoustics, Speech and Signal Processing, Toronto, Ontario, Canada, 06.06.2021-11.06.2021. Piscataway: IEEE. https://doi.org/10.1109/ICASSP39728.2021.9413909
Article
Towards improved clustering and routing protocol for wireless sensor networks
Alharbi MA, Kolberg M & Zeeshan M (2021) Towards improved clustering and routing protocol for wireless sensor networks. EURASIP Journal on Wireless Communications and Networking, 2021 (1), Art. No.: 46. https://doi.org/10.1186/s13638-021-01911-9
Conference Proceeding
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
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
Mavragani A & Gkillas K (2021) Exploring the role of non-pharmaceutical interventions (NPIs) in flattening the Greek COVID-19 epidemic curve. Scientific Reports, 11 (1), Art. No.: 11741. https://doi.org/10.1038/s41598-021-90293-5
Conference Proceeding
Comparing a Game v. Non-Game approach for plant provenance public education
Docherty C, Rutherford A, Jones G & Maharaj S (2021) Comparing a Game v. Non-Game approach for plant provenance public education. In: Gabron S (ed.) GSGS '21 - International Conference on Gamification and Serious Game Proceeding. Gamification & Serious Game Symposium. GSGS '21 - International Conference on Gamification and Serious Game, Lausanne, Switzerland, 28.06.2021-09.07.2021. Dublin: Digital Kingdom. https://gsgs.ch/wp-content/uploads/2021/07/gsgs21.pdf
Article
Towards Optimizing WLANs Power Saving: Context-Aware Listen Interval
Saeed A & Kolberg M (2021) Towards Optimizing WLANs Power Saving: Context-Aware Listen Interval. IEEE Access, 9, pp. 141513-141523. https://doi.org/10.1109/ACCESS.2021.3120348
Article
Export-driven, extensive coastal aquaculture can benefit nutritionally vulnerable people
Mamun A, Murray FJ, Sprague M, Mcadam BJ, Roos N, De Roos B, Pounds A & Little DC (2021) Export-driven, extensive coastal aquaculture can benefit nutritionally vulnerable people. Frontiers in Sustainable Food Systems, 5, Art. No.: 713140. https://doi.org/10.3389/fsufs.2021.713140
Article
When and why direct transmission models can be used for environmentally persistent pathogens
Benson L, Davidson RS, Green DM, Hoyle A, Hutchings MR & Marion G (2021) When and why direct transmission models can be used for environmentally persistent pathogens. PLOS Computational Biology, 17 (12), Art. No.: e1009652. https://doi.org/10.1371/journal.pcbi.1009652
Article
Antenna Position Estimation Through Subsampled Exponential Analysis of Signals in the Near Field
Louw R, Knaepkens F, Cuyt A, Lee W, Wijnholds SJ, de Villiers DIL & Weideman R (2021) Antenna Position Estimation Through Subsampled Exponential Analysis of Signals in the Near Field. URSI Radio Science Letters, 3. https://doi.org/10.46620/21-0062
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
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 Proceeding
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 Proceeding
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
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
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
Commentary
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
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
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 Proceeding
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 Proceeding
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
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
Article
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
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
Conference Proceeding
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 Proceeding
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
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 Proceeding
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
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
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
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.
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
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
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
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
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 Proceeding
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
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
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
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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
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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
Conference Proceeding
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
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
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
Article
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
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
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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