Conference Proceeding
Unexplained Fluctuations in Particle Swarm Optimisation Performance with Increasing Problem Dimensionality
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.
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
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
Predicting the Infection Level of Covid-19 Virus using Normal Distribution Based Approximation Model and PSO
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
Insight into real-world complexities is required to enable effective response from the aquaculture sector to climate change
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
Evolutionary optimisation of antibiotic dosing regimens for bacteria with different levels of resistance
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)
Multitemporal multispectral drone imagery for water hyacinth mapping in Patancheru lake, Hyderabad, India
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
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
A systematic approach to parameter optimization and its application to flight schedule simulation software
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
A Fuzzy-enhanced Deep Learning Approach for Early Detection of Covid-19 Pneumonia from Portable Chest X-Ray Images
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
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
Exploring the role of non-pharmaceutical interventions (NPIs) in flattening the Greek COVID-19 epidemic curve
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
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 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
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
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
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
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
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
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
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
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
Forecasting Cryptocurrency Value by Sentiment Analysis: An HPC-Oriented Survey of the State-of-the-Art in the Cloud Era
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Supervised Versus Unsupervised Deep Learning Based Methods for Skin Lesion Segmentation in Dermoscopy Images
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A Deep Learning Based Approach to Skin Lesion Border Extraction with a Novel Edge Detector in Dermoscopy Images
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Mutual Information Iterated Local Search: A Wrapper-Filter Hybrid for Feature Selection in Brain Computer Interfaces
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Multifractality and Dimensional Determinism in Local Optima Networks
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On the Fractal Nature of Local Optima Networks
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Querying Metric Spaces with Bit Operations
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From exponential analysis to Padé approximation and tensor decomposition, in one and more dimensions
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A Semi-supervised Corpus Annotation for Saudi Sentiment Analysis Using Twitter
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Exploiting Deep Learning for Persian Sentiment Analysis
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Comparison of Sentiment Analysis Approaches Using Modern Arabic and Sudanese Dialect
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Statistical Analysis Driven Optimized Deep Learning System for Intrusion Detection
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Towards Optimising WLANs Power Saving: Novel Context-aware Network Traffic Classification Based on a Machine Learning Approach
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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
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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