Showing 301 to 400 of 2444
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 Paper (published)
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
Conference Paper (published)
Effective use of evolutionary computation to parameterise an epidemiological model
Mitchell R, Cairns D, Hamami D, Pollock K & Shankland C (2021) Effective use of evolutionary computation to parameterise an epidemiological model. In: Cazzaniga P, Besozzi D, Merelli I & Manzoni L (eds.) Computational Intelligence Methods for Bioinformatics and Biostatistics. Lecture Notes in Computer Science, 12313. CIBB 2019: 16th International Conference on Computational Intelligence methods for Bioinformatics and Biostatistics, Bergamo, Italy, 04.09.2019-06.09.2019. Cham, Switzerland: Springer. https://doi.org/10.1007/978-3-030-63061-4_3
Conference Paper (published)
Ruiz-Ramos J, Berardi A, Marino A, Bhowmik D & Simpson M (2021) Assessing hydrological dynamics of Guyana's North Rupununi wetlands using Sentinel-1 SAR imagery change detection analysis on Google Earth Engine. In: 2020 IEEE India Geoscience and Remote Sensing Symposium (InGARSS). IEEE International India Geoscience and Remote Sensing Symposium 2020 (InGARSS), Online, 02.12.2020-05.12.2020. Piscataway, NJ, USA: IEEE. https://doi.org/10.1109/InGARSS48198.2020.9358961
Conference Paper (published)
Monitoring water hyacinth in Kuttanad, India using Sentinel-1 SAR data
Simpson M, Marino A, Prabhu GN, Bhowmik D, Rupavatharam S, Datta A, Kleczkowski A, Sujeetha JARP & Maharaj S (2021) Monitoring water hyacinth in Kuttanad, India using Sentinel-1 SAR data. In: 2020 IEEE India Geoscience and Remote Sensing Symposium (InGARSS). IEEE International India Geoscience and Remote Sensing Symposium 2020 (InGARSS), Online, 02.12.2020-05.12.2020. Piscataway, NJ, USA: IEEE. https://doi.org/10.1109/InGARSS48198.2020.9358977
Book Chapter
Advanced Kidney Disease Patient Portal: Implementation and Evaluation with Haemodialysis Patients
Meiklem R, Stevenson K, Richarz S, Kingsmore DB, Bouamrane M, Dunlop M & Thomson P (2021) Advanced Kidney Disease Patient Portal: Implementation and Evaluation with Haemodialysis Patients. In: Ardito C, Lanzilotti R, Malizia A, Petrie H, Piccinno A, Desolda G & Inkpen K (eds.) Human-Computer Interaction – INTERACT 2021. 1 ed. Lecture Notes in Computer Science. Cham, Switzerland: Springer International Publishing, pp. 175-196. https://doi.org/10.1007/978-3-030-85616-8_12
Conference Paper (published)
A formal model of Algorand smart contracts
Bartoletti M, Bracciali A, Lepore C, Scalas A & Zunino R (2021) A formal model of Algorand smart contracts. In: Borisov N & Diaz C (eds.) Financial Cryptography and Data Security. FC 2021. Lecture Notes in Computer Science, 12674. International Conference on Financial Cryptography and Data Security, Online, 01.03.2021-05.03.2021. Cham, Switzerland: Springer, pp. 93-114. https://doi.org/10.1007/978-3-662-64322-8_5
Conference Paper (published)
Mining Markov Network Surrogates to Explain the Results of Metaheuristic Optimisation
Brownlee A, Wallace A & Cairns D (2021) Mining Markov Network Surrogates to Explain the Results of Metaheuristic Optimisation. In: Martin K, Wiratunga N & Wijekoon A (eds.) Proceedings of the SICSA eXplainable Artifical Intelligence Workshop 2021. CEUR Workshop Proceedings, 2894. SICSA eXplainable Artifical Intelligence Workshop 2021, Aberdeen, 01.06.2021-01.06.2021. Aachen: CEUR Workshop Proceedings, pp. 64-70. http://ceur-ws.org/Vol-2894/short9.pdf
Conference Paper (published)
Matching creeping waves with lit area diffraction field
Kirpichnikova A & Kirpichnikova N (2021) Matching creeping waves with lit area diffraction field. In: Motygin OV, Kiselev AP, Goray LI & Kirpichnikova AS (eds.) Proceedings of the International Conference "Days on Diffraction 2021", St. Petersburg, Russia. Days on Diffraction 2021, Saint-Petersburg, Russia, 31.05.2021-04.06.2021. IEEE Russia, pp. 98-102. http://www.pdmi.ras.ru/~dd/proceedings.php; https://doi.org/10.1109/DD52349.2021.9598659
Article
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
Wang X, Brownlee AEI, Weiszer M, Woodward JR, Mahfouf M & Chen J (2021) A chance-constrained programming model for airport ground movement optimisation with taxi time uncertainties. Transportation Research Part C: Emerging Technologies, 132, Art. No.: 103382. https://doi.org/10.1016/j.trc.2021.103382
Commentary
Genetic Improvement @ ICSE 2021: Personal reflection of a Workshop Participant
Brownlee A (2021) Genetic Improvement @ ICSE 2021: Personal reflection of a Workshop Participant. ACM SIGSOFT Software Engineering Notes, 46 (4), pp. 28-30. https://doi.org/10.1145/3485952.3485960
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
Search trajectory networks: A tool for analysing and visualising the behaviour of metaheuristics
Ochoa G, Malan KM & Blum C (2021) Search trajectory networks: A tool for analysing and visualising the behaviour of metaheuristics. Applied Soft Computing, 109, Art. No.: 107492. https://doi.org/10.1016/j.asoc.2021.107492
Article
Predicting range shifts of African apes under global change scenarios
Carvalho JS, Graham B, Bocksberger G, Maisels F, Williamson EA, Wich S, Sop T, Amarasekaran B, Barca B, Barrie A, Bergl RA, Boesch C, Boesch H, Brncic TM & Morgan BJ (2021) Predicting range shifts of African apes under global change scenarios. Diversity and Distributions, 27 (9), pp. 1663-1679. https://doi.org/10.1111/ddi.13358
Article
Noninvasive Low-cost Method to Identify Armadillos' Burrows: A Machine Learning Approach
Rodrigues TF, Nogueira K & Chiarello AG (2021) Noninvasive Low-cost Method to Identify Armadillos' Burrows: A Machine Learning Approach. Wildlife Society Bulletin, 45 (3), pp. 396-401. https://doi.org/10.1002/wsb.1222
Article
Semantic segmentation of tree-canopy in urban environment with pixel-wise deep learning
Martins JAC, Nogueira K, Osco LP, Gomes FDG, Furuya DEG, Gonçalves WN, Sant’ana DA, Ramos APM, Liesenberg V, dos Santos JA, de Oliveira PTS & Marcato Junior J (2021) Semantic segmentation of tree-canopy in urban environment with pixel-wise deep learning. Remote Sensing, 13 (16), Art. No.: 3054. https://doi.org/10.3390/rs13163054
Article
On the Introduction of Automatic Program Repair in Bloomberg
Kirbas S, Windels E, McBello O, Kells K, Pagano M, Szalanski R, Nowack V, Winter E, Counsell S, Bowes D, Hall T, Haraldsson S & Woodward J (2021) On the Introduction of Automatic Program Repair in Bloomberg. IEEE Software, 38 (4), pp. 43-51. https://doi.org/10.1109/ms.2021.3071086
Article
Osco LP, Nogueira K, Marques Ramos AP, Faita Pinheiro MM, Furuya DEG, Gonçalves WN, de Castro Jorge LA, Marcato Junior J & dos Santos JA (2021) Semantic segmentation of citrus-orchard using deep neural networks and multispectral UAV-based imagery. Precision Agriculture, 22 (4), pp. 1171-1188. https://doi.org/10.1007/s11119-020-09777-5
Article
Salimifard K, Li J, Mohammadi D & Moghdani R (2021) A multi objective volleyball premier league algorithm for green scheduling identical parallel machines with splitting jobs. Applied Intelligence, 51 (7), pp. 4143-4161. https://doi.org/10.1007/s10489-020-02027-1
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.
Conference Paper (published)
Partition crossover for continuous optimization: EPX
Tinós R, Whitley D, Chicano F & Ochoa G (2021) Partition crossover for continuous optimization: EPX. In: Chicano F (ed.) GECCO '21: Proceedings of the Genetic and Evolutionary Computation Conference. 2021 Genetic and Evolutionary Computation Conference, GECCO 2021, Lille, France, 10.07.2021-14.07.2021. New York: Association for Computing Machinery, Inc, pp. 627-635. https://doi.org/10.1145/3449639.3459296
Conference Paper (published)
Cleghorn CW & Ochoa G (2021) Understanding parameter spaces using local optima networks: a case study on particle swarm optimization. In: Chicano F (ed.) GECCO '21: Proceedings of the Genetic and Evolutionary Computation Conference Companion. GECCO '21: Genetic and Evolutionary Computation Conference, Lille, France, 10.07.2021-14.07.2021. New York: ACM, pp. 1657-1664. https://doi.org/10.1145/3449726.3463145
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
Article
Zamboni P, Marcato Junior J, de Andrade Silva J, Miyoshi GT, Matsubara ET, Nogueira K & Gonçalves WN (2021) Benchmarking Anchor-Based and Anchor-Free State-of-the-Art Deep Learning Methods for Individual Tree Detection in RGB High-Resolution Images. Remote Sensing, 13 (13), Art. No.: 2482. https://doi.org/10.3390/rs13132482
Article
Signed graphs with three eigenvalues: Biregularity and beyond
Rowlinson P & Stanić Z (2021) Signed graphs with three eigenvalues: Biregularity and beyond. Linear Algebra and its Applications, 621, pp. 272-295. https://doi.org/10.1016/j.laa.2021.03.018
Conference Paper (published)
Real-like MAX-SAT instances and the landscape structure across the phase transition
Chicano F, Ochoa G & Tomassini M (2021) Real-like MAX-SAT instances and the landscape structure across the phase transition. In: Chicano F (ed.) GECCO '21: Proceedings of the Genetic and Evolutionary Computation Conference. 2021 Genetic and Evolutionary Computation Conference, GECCO 2021, Lille, France, 10.07.2021-14.07.2021. New York: Association for Computing Machinery, Inc, pp. 207-215. https://doi.org/10.1145/3449639.3459288
Conference Paper (published)
Local search pivoting rules and the landscape global structure
Tari S & Ochoa G (2021) Local search pivoting rules and the landscape global structure. In: Chicano F (ed.) GECCO '21: Proceedings of the Genetic and Evolutionary Computation Conference. 2021 Genetic and Evolutionary Computation Conference, GECCO 2021, Lille, France, 10.07.2021-14.07.2021. New York: Association for Computing Machinery, Inc, pp. 278-286. https://doi.org/10.1145/3449639.3459295
Article
Associating Climatic Trends with Stochastic Modelling of Flow Sequences
Patidar S, Tanner E, Soundharajan B & SenGupta B (2021) Associating Climatic Trends with Stochastic Modelling of Flow Sequences. Geosciences, 11 (6), p. 27, Art. No.: 255. https://doi.org/10.3390/geosciences11060255
Article
Duthie AB, Minderman J, Rakotonarivo OS, Ochoa G & Bunnefeld N (2021) Online multiplayer games as virtual laboratories for collecting data on social-ecological decision making. Conservation Biology, 35 (3), pp. 1051-1053. https://doi.org/10.1111/cobi.13633
Article
Sequences of patch disturbance in a spatial eco-evolutionary model
Abernethy GM (2021) Sequences of patch disturbance in a spatial eco-evolutionary model. Communications in Nonlinear Science and Numerical Simulation, 97, Art. No.: 105746. https://doi.org/10.1016/j.cnsns.2021.105746
Article
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
Bailey J, Marino A & Akbari V (2021) Comparison of Target Detectors to Identify Icebergs in Quad-Polarimetric L-Band Synthetic Aperture Radar Data. Remote Sensing, 13 (9), Art. No.: 1753. https://doi.org/10.3390/rs13091753
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
Conference Paper (published)
A NEAT Visualisation of Neuroevolution Trajectories
Sarti S & Ochoa G (2021) A NEAT Visualisation of Neuroevolution Trajectories. In: Castillo PA & Jiménez Laredo JL (eds.) Applications of Evolutionary Computation. Lecture Notes in Computer Science, 12694. 24th International Conference, EvoApplications 2021, Seville, Spain, 07.04.2021-09.04.2021. Cham, Switzerland: Springer, pp. 714-728. https://doi.org/10.1007/978-3-030-72699-7_45
Article
A Comparative Analysis of Two Matheuristics by Means of Merged Local Optima Networks
Blum C & Ochoa G (2021) A Comparative Analysis of Two Matheuristics by Means of Merged Local Optima Networks. European Journal of Operational Research, 290 (1), pp. 36-56. https://doi.org/10.1016/j.ejor.2020.08.008
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
Aircraft taxi time prediction: Feature importance and their implications
Wang X, Brownlee AEI, Woodward JR, Weiszer M, Mahfouf M & Chen J (2021) Aircraft taxi time prediction: Feature importance and their implications. Transportation Research Part C: Emerging Technologies, 124, Art. No.: 102892. https://doi.org/10.1016/j.trc.2020.102892
Article
MANET performance optimization using network-based criteria and unmanned aerial vehicles
Gromova E, Kireev S, Lazareva A, Kirpichnikova A & Gromov D (2021) MANET performance optimization using network-based criteria and unmanned aerial vehicles. Journal of Sensor and Actuator Networks, 10 (1), Art. No.: 8. https://doi.org/10.3390/jsan10010008
Article
Effect of multiple episodes of acute kidney injury on mortality: an observational study
Walker H, De Souza N, Hapca S, Witham MD & Bell S (2021) Effect of multiple episodes of acute kidney injury on mortality: an observational study. Clinical Kidney Journal, 14 (2), pp. 696-703. https://doi.org/10.1093/ckj/sfz199
Article
Modelling the effectiveness of collaborative schemes for disease and pest outbreak prevention
Bate AM, Jones G, Kleczkowski A & Touza J (2021) Modelling the effectiveness of collaborative schemes for disease and pest outbreak prevention. Ecological Modelling, 442, Art. No.: 109411. https://doi.org/10.1016/j.ecolmodel.2020.109411
Conference Paper (published)
Decentralization in open quorum systems: Limitative results for ripple and stellar
Bracciali A, Grossi D & de Haan R (2021) Decentralization in open quorum systems: Limitative results for ripple and stellar. In: Anceaume E, Bisiere C, Bouvard M, Bramas Q & Casamatta C (eds.) 2nd International Conference on Blockchain Economics, Security and Protocols, Tokenomics 2020, volume 82. Open Access Series in Informatics (OASIcs), 82. 2nd International Conference on Blockchain Economics, Security and Protocols (Tokenomics 2020), Toulouse, France, 26.10.2020-27.10.2020. Dagstuhl, Germany: Schloss Dagstuhl- Leibniz-Zentrum fur Informatik, pp. 5:1-5:20. https://doi.org/10.4230/OASIcs.Tokenomics.2020.5
Review
Monitoring the spread of water hyacinth (Pontederia crassipes): challenges and future developments
Datta A, Maharaj S, Prabhu GN, Bhowmik D, Marino A, Akbari V, Rupavatharam S, Sujeetha JAR, Anantrao GG, Poduvattil VK, Kumar S & Kleczkowski A (2021) Monitoring the spread of water hyacinth (Pontederia crassipes): challenges and future developments. Frontiers in Ecology and Evolution, 9, Art. No.: 631338. https://doi.org/10.3389/fevo.2021.631338
Editorial
Schifanella C & Bracciali A (2021) Special Issue of Concurrency and Computation: Practice and experience "FPDAPP, Future Perspectives on Decentralized Applications". Concurrency and Computation: Practice and Experience, 33 (1), Art. No.: e6107. https://doi.org/10.1002/cpe.6107
Article
The Relationship between AKI and CKD in Patients with Type 2 Diabetes: An Observational Cohort Study
Hapca S, Siddiqui MK, Kwan RSY, Lim M, Matthew S, Doney ASF, Pearson ER, Palmer CNA & Bell S (2021) The Relationship between AKI and CKD in Patients with Type 2 Diabetes: An Observational Cohort Study. Journal of the American Society of Nephrology, 32 (1), pp. 138-150. https://doi.org/10.1681/asn.2020030323
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
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
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
Slobodan Simić: an appreciation
Cvetkovic D & Rowlinson P (2020) Slobodan Simić: an appreciation. Discussiones Mathematicae Graph Theory, 40 (2), pp. 367-378. https://doi.org/10.7151/dmgt.2266
Article
A Methodology for Classifying Search Operators as Intensification or Diversification Heuristics
Soria-Alcaraz JA, Ochoa G, Espinal A, Sotelo-Figueroa MA, Ornelas-Rodriguez M & Rostro-Gonzalez H (2020) A Methodology for Classifying Search Operators as Intensification or Diversification Heuristics. Complexity, 2020 p. 10, Art. No.: 2871835. https://doi.org/10.1155/2020/2871835
Article
Inferring Future Landscapes: Sampling the Local Optima Level
Thomson SL, Ochoa G, Verel S & Veerapen N (2020) Inferring Future Landscapes: Sampling the Local Optima Level. Evolutionary Computation, 28 (4), pp. 621-641. https://doi.org/10.1162/evco_a_00271
Conference Paper (published)
The Local Optima Level in Chemotherapy Schedule Optimisation
Thomson SL & Ochoa G (2020) The Local Optima Level in Chemotherapy Schedule Optimisation. In: Zarges C & Paquete L (eds.) Evolutionary Computation in Combinatorial Optimization. EvoCOP 2020. Lecture Notes in Computer Science, 12102. EvoCOP 2020: European Conference on Evolutionary Computation in Combinatorial Optimization, Seville, Spain, 15.04.2020-17.04.2020. Cham, Switzerland: Springer, pp. 197-213. https://doi.org/10.1007/978-3-030-43680-3_13
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
Article
Design and evaluation of a biologically-inspired cloud elasticity framework
Ullah A, Li J & Hussain A (2020) Design and evaluation of a biologically-inspired cloud elasticity framework. Cluster Computing, 23 (4), pp. 3095-3117. https://doi.org/10.1007/s10586-020-03073-7
Conference Paper (published)
Search Trajectory Networks of Population-based Algorithms in Continuous Spaces
Ochoa G, Malan KM & Blum C (2020) Search Trajectory Networks of Population-based Algorithms in Continuous Spaces. In: Castillo PA, Jiménez Laredo JL & Fernández de Vega F (eds.) Applications of Evolutionary Computation. EvoApplications 2020. Lecture Notes in Computer Science, 12104. Applications of Evolutionary Computation – 23rd International Conference, EvoApplications 2020, Seville, Spain, 15.04.2020-17.04.2020. Cham, Switzerland: Springer, pp. 70-85. https://doi.org/10.1007/978-3-030-43722-0_5
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
Article
Predicting book sales trend using deep learning framework
Feng TQ, Choy M & Laik MN (2020) Predicting book sales trend using deep learning framework. International Journal of Advanced Computer Science and Applications, 11 (2), pp. 28-39. https://doi.org/10.14569/IJACSA.2020.0110205
Article
On trees as star complements in regular graphs
Rowlinson P (2020) On trees as star complements in regular graphs. Discussions Mathematicae Graph Theory, 40 (2), pp. 621-636. https://doi.org/10.7151/dmgt.2272
Conference Paper (published)
An investigation of citizen's e-participation within Oman's police department Facebook page
Dalwai T, James M, Webster W, Alshukaili AM & Soosaimanickam A (2020) An investigation of citizen's e-participation within Oman's police department Facebook page. In: Santos H, Viale Pereira G, Budde M, Lopes SF & Nikolic P (eds.) Science and Technologies for Smart Cities. SmartCity 360 2019. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, 323. International Summit Smart City 360, Braga, Portugal, 04.12.2019-06.12.2019. Cham, Switzerland: Springer, pp. 236-248. https://doi.org/10.1007/978-3-030-51005-3_21
Article
Optimising efficacy of antibiotics against systemic infection by varying dosage quantities and times
Hoyle A, Cairns D, Paterson I, McMillan S, Ochoa G & Desbois AP (2020) Optimising efficacy of antibiotics against systemic infection by varying dosage quantities and times. PLoS Computational Biology, 16 (8), Art. No.: e1008037. https://doi.org/10.1371/journal.pcbi.1008037
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
Article
Predictability analysis of the Pound's Brexit exchange rates based on Google Trends data
Mavragani A, Gkillas K & Tsagarakis KP (2020) Predictability analysis of the Pound's Brexit exchange rates based on Google Trends data. Journal of Big Data, 7 (1), Art. No.: 79. https://doi.org/10.1186/s40537-020-00337-2
Conference Paper (published)
Global Landscape Structure and the Random MAX-SAT Phase Transition
Ochoa G, Chicano F & Tomassini M (2020) Global Landscape Structure and the Random MAX-SAT Phase Transition. In: Bäck T, Preuss M, Deutz A, Wang H, Doerr C, Emmerich M & Trautmann H (eds.) Parallel Problem Solving from Nature. Lecture Notes in Computer Science. PPSN 2020: Conference on Parallel Problem Solving from Nature, Leiden, The Netherlands, 05.09.2020-09.09.2020. Cham, Switzerland: Springer International Publishing, pp. 125-138. https://doi.org/10.1007/978-3-030-58115-2_9
Conference Paper (published)
Towards Open-Set Semantic Segmentation of Aerial Images
da Silva CCV, Nogueira K, Oliveira HN & dos Santos JA (2020) Towards Open-Set Semantic Segmentation of Aerial Images. In: 2020 IEEE Latin American GRSS and ISPRS Remote Sensing Conference, LAGIRS 2020. IEEE Latin American GRSS & ISPRS Remote Sensing Conference (LAGIRS 2020), Santiago, Chile, 21.03.2020-26.03.2020. Piscataway, NJ, USA: Institute of Electrical and Electronics Engineers Inc. pp. 16-21. https://doi.org/10.1109/LAGIRS48042.2020.9165597
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Adversarial behaviours in mixing coins under incomplete information
Wang Y, Bracciali A, Yang G, Li T & Yu X (2020) Adversarial behaviours in mixing coins under incomplete information. Applied Soft Computing, 96, Art. No.: 106605. https://doi.org/10.1016/j.asoc.2020.106605
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Genetic improvement: Taking real-world source code and improving it using genetic programming
Haraldsson SO, Woodward JR & Wagner M (2020) Genetic improvement: Taking real-world source code and improving it using genetic programming. In: 2020 Genetic and Evolutionary Computation Conference, GECCO 2020. 2020 Genetic and Evolutionary Computation Conference, Cancun, Mexico, 08.07.2020-12.07.2020. New York: ACM, pp. 801-831. https://doi.org/10.1145/3377929.3389885
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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
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Heal M & Li J (2020) Comparison between Maximal Independent Sets and Maximal Cliques Models to Calculate the Capacity of Multihop Wireless Networks. In: Arai K & Bhatia R (eds.) Advances in Information and Communication. FICC 2019. Lecture Notes in Networks and Systems, 70. FICC 2019: Future of Information and Communication Conference, San Francisco, CA, USA, 14.03.2019-15.03.2019. Cham, Switzerland: Springer International Publishing Company, pp. 603-615. https://doi.org/10.1007/978-3-030-12385-7_44
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On Refining Design Patterns for Smart Contracts: A use case on water management
Zecchini M, Bracciali A, Chatzigiannakis I & Vitaletti A (2020) On Refining Design Patterns for Smart Contracts: A use case on water management. In: Schwardmann U, Boehme C, Heras DB, Cardellini V, Jeannot E, Salis A, Schifanella C, Reddy Manumachu R, Schwamborn D, Ricci L, Sangyoon O, Gruber T, Antonelli L & Scott SL (eds.) Euro-Par 2019: Parallel Processing Workshops. Lecture Notes in Computer Science, 11997. 2nd International Workshop on Future Perspective of Decentralized APPlications, Gottingen, Germany, 26.08.2019-29.08.2019. Cham, Switzerland: Springer, pp. 228-239. https://doi.org/10.1007/978-3-030-48340-1_18
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YewPar: Skeletons for Exact Combinatorial Search
Archibald B, Maier P, Stewart R & Trinder P (2020) YewPar: Skeletons for Exact Combinatorial Search. In: PPoPP '20: Proceedings of the 25th Symposium on Principles and Practice of Parallel Programming. Principles and Practice of Parallel Programming 2020 (PPoPP 2020), San Diego, 22.02.2020-26.02.2020. New York: ACM, pp. 292-307. https://doi.org/10.1145/3332466.3374537
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Thompson T & Graham B (2020) More-than-human approach to researching AI at work: Alternative narratives for AI and networked learning. In: De Laat M, Ryberg T, Bonderup Dohn N, Hansen SB & Hansen JJ (eds.) NETWORKED LEARNING 2020: Proceedings for the 12th International Conference on Networked Learning. Networked Learning Conference Proceedings, 12. Twelfth International Conference on Networked Learning 2020, Online, 18.05.2020-20.05.2020. Kolding, Denmark: Aalborg University, pp. 293-300.
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Learning Spatial Relations with a Standard Convolutional Neural Network
Swingler K & Bath M (2020) Learning Spatial Relations with a Standard Convolutional Neural Network. In: Merelo JJ, Garibaldi J, Wagner C, Bäck T, Madani K & Warwick K (eds.) Proceedings of the 12th International Joint Conference on Computational Intelligence - Volume 1: NCTA. 12th International Conference on Neural Computation Theory and Applications, Budapest, Hungary, 02.11.2020-04.11.2020. Setubal, Portugal: SCITEPRESS - Science and Technology Publications, pp. 464-470. https://doi.org/10.5220/0010170204640470
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Visual Speech Recognition with Lightweight Psychologically Motivated Gabor Features
Zhang X, Xu Y, Abel AK, Smith LS, Watt R, Hussain A & Gao C (2020) Visual Speech Recognition with Lightweight Psychologically Motivated Gabor Features. Entropy, 22 (12), Art. No.: 1367. https://doi.org/10.3390/e22121367
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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
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Coding and Decoding Speech using a Biologically Inspired Coding System
Pahar M & Smith LS (2020) Coding and Decoding Speech using a Biologically Inspired Coding System. In: 2020 IEEE Symposium Series on Computational Intelligence (SSCI). 2020 IEEE Symposium Series on Computational Intelligence, Canberra, Australia, 01.12.2020-04.12.2020. Piscataway, NJ, USA: IEEE. https://doi.org/10.1109/ssci47803.2020.9308328
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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
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Synthetic vs. Real-World Continuous Landscapes: A Local Optima Networks View
Contreras-Cruz MA, Ochoa G & Ramirez-Paredes JP (2020) Synthetic vs. Real-World Continuous Landscapes: A Local Optima Networks View. In: Filipič B, Minisci E & Vasile M (eds.) Bioinspired Optimization Methods and Their Applications. Lecture Notes in Computer Science, 12438. 9th International Conference, BIOMA 2020, Brussels, Belgium, 19.11.2020-20.11.2020. Cham, Switzerland: Springer International Publishing, pp. 3-16. https://doi.org/10.1007/978-3-030-63710-1_1
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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