Outputs related to Computing Science & Mathematics

Showing 201 to 300 of 2339

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

Semantic segmentation of citrus-orchard using deep neural networks and multispectral UAV-based imagery

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

A multi objective volleyball premier league algorithm for green scheduling identical parallel machines with splitting jobs

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

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

Article

Benchmarking Anchor-Based and Anchor-Free State-of-the-Art Deep Learning Methods for Individual Tree Detection in RGB High-Resolution Images

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

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)

Understanding parameter spaces using local optima networks: a case study on particle swarm optimization

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

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)

Adopting Transition Point Technique for Persian Sentiment Analysis

Dashtipour K, Gogate M, Gelbukh A & Hussain A (2021) Adopting Transition Point Technique for Persian Sentiment Analysis. In: TBC. ICOTEN 2021: International Congress of Advanced Technology and Engineering, Virtual, 04.07.2021-05.07.2021. Piscataway, NJ, USA: IEEE.

Conference Paper (published)

Persian Sentence-level Sentiment Polarity Classification

Dashtipour K, Gogate M, Gelbukh A & Hussain A (2021) Persian Sentence-level Sentiment Polarity Classification. In: TBC. ICOTEN 2021: International Congress of Advanced Technology and Engineering, Virtual, 04.07.2021-05.07.2021. Piscataway, NJ, USA: IEEE.

Article

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

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

Online multiplayer games as virtual laboratories for collecting data on social-ecological decision making

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

Alternative and Augmentative Communication Technologies for Supporting Adults With Mild Intellectual Disabilities During Clinical Consultations: Scoping Review

Gibson RC, Bouamrane M & Dunlop MD (2021) Alternative and Augmentative Communication Technologies for Supporting Adults With Mild Intellectual Disabilities During Clinical Consultations: Scoping Review. JMIR Rehabilitation and Assistive Technologies, 8 (2), p. e19925. https://rehab.jmir.org/2021/2/e19925; https://doi.org/10.2196/19925

Article

Sentiment analysis of persian movie reviews using deep learning

Dashtipour K, Gogate M, Adeel A, Larijani H & Hussain A (2021) Sentiment analysis of persian movie reviews using deep learning. Entropy, 23 (5), Art. No.: 596. https://doi.org/10.3390/e23050596

Article

Comparison of Target Detectors to Identify Icebergs in Quad-Polarimetric L-Band Synthetic Aperture Radar Data

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

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

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

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

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

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

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

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

Special Issue of Concurrency and Computation: Practice and experience "FPDAPP, Future Perspectives on Decentralized Applications"

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

Conference Paper (published)

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

Article

Risk appetite and jumps in realized correlation

Demirer R, Gkillas K, Kountzakis C & Mavragani A (2020) Risk appetite and jumps in realized correlation. Mathematics, 8 (12), Art. No.: 2255. https://doi.org/10.3390/math8122255

Conference Paper (published)

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

Article

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

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

Conference Paper (published)

More-than-human approach to researching AI at work: Alternative narratives for AI and networked learning

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.

Conference Paper (published)

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

Conference Paper (published)

The Variational InfoMax AutoEncoder

Crescimanna V & Graham B (2020) The Variational InfoMax AutoEncoder. In: 2020 International Joint Conference on Neural Networks. IEEE International Joint Conference on Neural Networks (IJCNN) IJCNN 2020 - International Joint Conference on Neural Networks, Glasgow, UK, 19.07.2020-24.07.2020. Piscataway, NJ: IEEE. https://doi.org/10.1109/IJCNN48605.2020.9207048

Book Chapter

Finding the Maximal Independent Sets of a Graph Including the Maximum Using a Multivariable Continuous Polynomial Objective Optimization Formulation

Heal M & Li J (2020) Finding the Maximal Independent Sets of a Graph Including the Maximum Using a Multivariable Continuous Polynomial Objective Optimization Formulation. In: Arai K, Kapoor S & Bhatia R (eds.) Intelligent Computing. SAI 2020. Advances in Intelligent Systems and Computing, 1228. Cham, Switzerland: Springer International Publishing, pp. 122-136. https://doi.org/10.1007/978-3-030-52249-0_9

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

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

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)

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

Conference Paper (published)

PerSent 2.0: Persian sentiment lexicon enriched with domain-specific words

Dashtipour K, Raza A, Gelbukh A, Zhang R, Cambria E & Hussain A (2020) PerSent 2.0: Persian sentiment lexicon enriched with domain-specific words. In: Ren J, Hussain A, Zhao H, Huang K, Zheng J, Cai J, Chen R & Xiao Y (eds.) Advances in Brain Inspired Cognitive Systems. BICS 2019. Lecture Notes in Computer Science, 11691. BICS 2019: 10th International Conference on Brain Inspired Cognitive Systems, Guangzhou, China, 13.07.2019-14.07.2019. Cham, Switzerland: Springer, pp. 497-509. https://doi.org/10.1007/978-3-030-39431-8_48

Article

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

Conference Paper (published)

Injecting Shortcuts for Faster Running Java Code

Brownlee AEI, Petke J & Rasburn AF (2020) Injecting Shortcuts for Faster Running Java Code. In: 2020 IEEE Congress on Evolutionary Computation (CEC). IEEE World Congress on Computational Intelligence, Glasgow, 19.07.2020-24.07.2020. Piscataway, NJ, USA: IEEE, pp. 1-8. https://wcci2020.org/; https://doi.org/10.1109/CEC48606.2020.9185708

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

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

Conference Paper (published)

Fitness Landscape Analysis of Automated Machine Learning Search Spaces

Pimenta CG, de Sá AGC, Ochoa G & Pappa GL (2020) Fitness Landscape Analysis of Automated Machine Learning Search Spaces. In: Paquete L & Zarges C (eds.) Evolutionary Computation in Combinatorial Optimization. EvoCOP 2020. Lecture Notes in Computer Science, 12102. EvoCOP 2020: Evolutionary Computation in Combinatorial Optimization, Seville, Spain, 15.04.2020-17.04.2020. Cham, Switzerland: Springer International Publishing, pp. 114-130. https://doi.org/10.1007/978-3-030-43680-3_8

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

Article

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

Conference Paper (published)

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

Conference Paper (published)

Optimising Antibiotic Treatments with Multi-objective Population-based Algorithms

Goranova M, Contreras-Cruz MA, Hoyle A & Ochoa G (2020) Optimising Antibiotic Treatments with Multi-objective Population-based Algorithms. In: CEC 2020: Congress on Evolutionary Computation. 2020 IEEE Congress on Evolutionary Computation (CEC), Glasgow, United Kingdom, 19.07.2020-24.07.2020. Piscataway, NJ, USA: IEEE. https://doi.org/10.1109/cec48606.2020.9185489

Book Chapter

Lessons from Expert Focus Groups on how to Better Support Adults with Mild Intellectual Disabilities to Engage in Co-Design

Colin Gibson R, D Dunlop M & Bouamrane M (2020) Lessons from Expert Focus Groups on how to Better Support Adults with Mild Intellectual Disabilities to Engage in Co-Design. In: Guerreiro T, Nicolau H & Moffatt K (eds.) ASSETS '20: Proceedings of the 22nd International ACM SIGACCESS Conference on Computers and Accessibility. New York: ACM, pp. 1 - 12. https://doi.org/10.1145/3373625.3417008

Book Chapter

Designing Clinical AAC Tablet Applications with Adults who have Mild Intellectual Disabilities

Gibson RC, Dunlop MD, Bouamrane M & Nayar R (2020) Designing Clinical AAC Tablet Applications with Adults who have Mild Intellectual Disabilities. In: CHI '20: Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems. New York: ACM, pp. 1 - 13. https://doi.org/10.1145/3313831.3376159

Article

Learning and Searching Pseudo-Boolean Surrogate Functions from Small Samples

Swingler K (2020) Learning and Searching Pseudo-Boolean Surrogate Functions from Small Samples. Evolutionary Computation, 28 (2), pp. 317-338. https://doi.org/10.1162/evco_a_00257

Conference Paper (published)

Comparison between Maximal Independent Sets and Maximal Cliques Models to Calculate the Capacity of Multihop Wireless Networks

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

Conference Paper (published)

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

Conference Paper (published)

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

Article

Quinine exposure and the risk of acute kidney injury: a population-based observational study of older people

Duncan ADS, Hapca S, De Souza N, Morales D & Bell S (2020) Quinine exposure and the risk of acute kidney injury: a population-based observational study of older people. Age and Ageing, 49 (6), pp. 1042-1047. https://doi.org/10.1093/ageing/afaa079

Article

A novel encoding for separable large-scale multi-objective problems and its application to the optimisation of housing stock improvements

Brownlee A, Wright J, He M, Lee T & McMenemy P (2020) A novel encoding for separable large-scale multi-objective problems and its application to the optimisation of housing stock improvements. Applied Soft Computing, 96, Art. No.: 106650. https://doi.org/10.1016/j.asoc.2020.106650

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

Article

Exploring Personalised Autonomous Vehicles to Influence User Trust

Sun X, Li J, Tang P, Zhou S, Peng X, Li HN & Wang Q (2020) Exploring Personalised Autonomous Vehicles to Influence User Trust. Cognitive Computation, 12 (6), pp. 1170-1186. https://doi.org/10.1007/s12559-020-09757-x

Article

Zoocentrism in the weeds? Cultivating plant models for cognitive yield

Linson A & Calvo P (2020) Zoocentrism in the weeds? Cultivating plant models for cognitive yield. Biology and Philosophy, 35 (5), Art. No.: 49. https://doi.org/10.1007/s10539-020-09766-y

Article

On eigenvalue multiplicity in signed graphs

Ramezani F, Rowlinson P & Stanić Z (2020) On eigenvalue multiplicity in signed graphs. Discrete Mathematics, 343 (10), Art. No.: 111982. https://doi.org/10.1016/j.disc.2020.111982

Letter

Real-time Continuous Glucose Monitoring During a Hyperinsulinemic Hypoglycemic Clamp Significantly Underestimates the Degree of Hypoglycemia

Farrell CM, McNeilly AD, Hapca SM & McCrimmon RJ (2020) Real-time Continuous Glucose Monitoring During a Hyperinsulinemic Hypoglycemic Clamp Significantly Underestimates the Degree of Hypoglycemia. Diabetes Care, 43 (10), pp. e142-e143. https://doi.org/10.2337/dc20-0882

Conference Paper (published)

Ir-Man: An Information Retrieval Framework for Marine Animal Necropsy Analysis

Carmichael AFB, Bhowmik D, Baily J, Brownlow A, Gunn GJ & Reeves A (2020) Ir-Man: An Information Retrieval Framework for Marine Animal Necropsy Analysis. In: BCB '20: Proceedings of the 11th ACM International Conference on Bioinformatics, Computational Biology and Health Informatics. 11th ACM Conference on Bioinformatics, Computational Biology, and Health Informatics (ACM-BCB 2020), Virtual, 21.09.2020-24.09.2020. New York: ACM, p. 67. https://doi.org/10.1145/3388440.3412417