Showing 501 to 600 of 2339
Conference Paper (published)
DNN Driven Speaker Independent Audio-Visual Mask Estimation for Speech Separation
Gogate M, Adeel A, Marxer R, Barker J & Hussain A (2018) DNN Driven Speaker Independent Audio-Visual Mask Estimation for Speech Separation. In: Proceedings of the Annual Conference of the International Speech Communication Association. Interspeech 2018, 02.09.2018-06.09.2018. Baixas, France: ISCA, pp. 2723-2727. https://doi.org/10.21437/Interspeech.2018-2516
Article
Relation Extraction of Medical Concepts Using Categorization and Sentiment Analysis
Mondal A, Cambria E, Das D, Hussain A & Bandyopadhyay S (2018) Relation Extraction of Medical Concepts Using Categorization and Sentiment Analysis. Cognitive Computation, 10 (4), pp. 670-685. https://doi.org/10.1007/s12559-018-9567-8
Article
Long-term correlation tracking using multi-layer hybrid features in sparse and dense environments
Baisa NL, Bhowmik D & Wallace A (2018) Long-term correlation tracking using multi-layer hybrid features in sparse and dense environments. Journal of Visual Communication and Image Representation, 55, pp. 464-476. https://doi.org/10.1016/j.jvcir.2018.06.027
Article
Sentic LSTM: a Hybrid Network for Targeted Aspect-Based Sentiment Analysis
Ma Y, Peng H, Khan T, Cambria E & Hussain A (2018) Sentic LSTM: a Hybrid Network for Targeted Aspect-Based Sentiment Analysis. Cognitive Computation, 10 (4), pp. 639-650. https://doi.org/10.1007/s12559-018-9549-x
Article
Abdullah A, Hussain A & Khan IH (2018) A Novel Spatiotemporal Longitudinal Methodology for Predicting Obesity Using Near Infrared Spectroscopy (NIRS) Cerebral Functional Activity Data. Cognitive Computation, 10 (4), pp. 591-609. https://doi.org/10.1007/s12559-017-9541-x
Conference Abstract
Lapp L, Young D, Kavanagh K, Bouamrane M & Schraag S (2018) P06-3 - Using machine learning for predicting severe postoperative complications after cardiac surgery. Journal of Cardiothoracic and Vascular Anesthesia, 32 (Supplement 1), pp. S84-S85. https://doi.org/10.1053/j.jvca.2018.08.156
Article
Baveye PC, Otten W, Kravchenko A, Balseiro-Romero M, Beckers E, Chalhoub M, Darnault C, Eickhorst T, Garnier P, Hapca S, Kiranyaz S, Monga O, Mueller CW, Nunan N & Pot V (2018) Emergent Properties of Microbial Activity in Heterogeneous Soil Microenvironments: Different Research Approaches Are Slowly Converging, Yet Major Challenges Remain. Frontiers in Microbiology, 9, Art. No.: 1929. https://doi.org/10.3389/fmicb.2018.01929
Article
Multivariate exponential analysis from the minimal number of samples
Cuyt A & Lee W (2018) Multivariate exponential analysis from the minimal number of samples. Advances in Computational Mathematics, 44 (4), pp. 987-1002. https://doi.org/10.1007/s10444-017-9570-8
Conference Abstract
Thomson P, Howie CA, Leslie SJ, Angus N, Mohan AR, Mondoa C, Smith A & Chung M (2018) The effects of emotional distress on quality of life of patients with heart failure and their family caregivers: Testing dyadic dynamics using the Actor-Partner Interdependence Model [Emotional distress and quality of life in patient-caregiver dyads]. EuroHeartCare 2018, Dublin Ireland, 7 June 2018- 9 June 2018. European Journal of Cardiovascular Nursing, 17 (S1), pp. S2-S3. https://journals.sagepub.com/doi/10.1177/1474515118787764
Article
A Fuzzy Approach to Addressing Uncertainty in Airport Ground Movement Optimisation
Brownlee A, Weiszer M, Chen J, Ravizza S, Woodward JR & Burke EK (2018) A Fuzzy Approach to Addressing Uncertainty in Airport Ground Movement Optimisation. Transportation Research Part C: Emerging Technologies, 92, pp. 150-175. https://doi.org/10.1016/j.trc.2018.04.020
Article
Extracting online information from dual and multiple data streams
Malik Z, Hussain A & Wu QJ (2018) Extracting online information from dual and multiple data streams. Neural Computing and Applications, 30 (1), pp. 87-98. https://doi.org/10.1007/s00521-016-2647-3
Article
The Effects of Disease on Optimal Forest Rotation: A Generalisable Analytical Framework
Macpherson MF, Kleczkowski A, Healey JR & Hanley N (2018) The Effects of Disease on Optimal Forest Rotation: A Generalisable Analytical Framework. Environmental and Resource Economics, 70 (3), pp. 565-588. https://doi.org/10.1007/s10640-016-0077-4
Article
Applications of Deep Learning and Reinforcement Learning to Biological Data
Mahmud M, Kaiser MS, Hussain A & Vassanelli S (2018) Applications of Deep Learning and Reinforcement Learning to Biological Data. IEEE Transactions on Neural Networks and Learning Systems, 29 (6), pp. 2063-2079. https://doi.org/10.1109/TNNLS.2018.2790388
Article
Mapping the global structure of TSP fitness landscapes
Ochoa G & Veerapen N (2018) Mapping the global structure of TSP fitness landscapes. Journal of Heuristics, 24 (3), pp. 265-294. https://doi.org/10.1007/s10732-017-9334-0
Article
Genetic Improvement of Software: a Comprehensive Survey
Petke J, Haraldsson S, Harman M, Langdon WB, White D & Woodward J (2018) Genetic Improvement of Software: a Comprehensive Survey. IEEE Transactions on Evolutionary Computation, 22 (3), pp. 415-432. https://doi.org/10.1109/TEVC.2017.2693219
Article
Livestock Disease Management for Trading Across Different Regulatory Regimes
Bate AM, Jones G, Kleczkowski A, Naylor R, Timmis J, White PCL & Touza J (2018) Livestock Disease Management for Trading Across Different Regulatory Regimes. EcoHealth, 15 (2), pp. 302-316. https://doi.org/10.1007/s10393-018-1312-y
Article
Deleting Edges to Restrict the Size of an Epidemic: A New Application for Treewidth
Enright J & Meeks K (2018) Deleting Edges to Restrict the Size of an Epidemic: A New Application for Treewidth. Algorithmica, 80 (6), pp. 1857-1889. https://doi.org/10.1007/s00453-017-0311-7
Conference Paper (published)
Predicting Changes in Quality of Life for Patients in Vocational Rehabilitation
Haraldsson S, Brynjolfsdottir RD, Gudnason V, Tomasson K & Siggeirsdottir K (2018) Predicting Changes in Quality of Life for Patients in Vocational Rehabilitation. In: EAIS 2018 proceedings. Evolving and Adaptive Intelligent Systems, Rhodes, Greece, 25.05.2018-27.05.2018. Piscataway, NJ, USA: IEEE. https://doi.org/10.1109/EAIS.2018.8397182
Article
Faint and clustered components in exponential analysis
Cuyt A, Tsai M, Verhoye M & Lee W (2018) Faint and clustered components in exponential analysis. Applied Mathematics and Computation, 327, pp. 93-103. https://doi.org/10.1016/j.amc.2017.11.007
Article
An Empirical Study of Meta- and Hyper-Heuristic Search for Multi-Objective Release Planning
Zhang Y, Harman M, Ochoa G, Ruhe G & Brinkkemper S (2018) An Empirical Study of Meta- and Hyper-Heuristic Search for Multi-Objective Release Planning. ACM Transactions on Software Engineering and Methodology, 27 (1), Art. No.: 3. https://doi.org/10.1145/3196831
Article
PageRank centrality for performance prediction: the impact of the local optima network model
Herrmann S, Ochoa G & Rothlauf F (2018) PageRank centrality for performance prediction: the impact of the local optima network model. Journal of Heuristics, 24 (3), pp. 243-264. https://doi.org/10.1007/s10732-017-9333-1
Article
The Fundamental Code Unit of the Brain: Towards a New Model for Cognitive Geometry
Howard N & Hussain A (2018) The Fundamental Code Unit of the Brain: Towards a New Model for Cognitive Geometry. Cognitive Computation, 10 (3), pp. 426-436. https://doi.org/10.1007/s12559-017-9538-5
Conference Paper (published)
Superresolution underwater acoustics
Cuyt A, Lee W, Tijskens E, Hong W, Wang J, Cools T & Geerts T (2018) Superresolution underwater acoustics. In: Proceedings of Euronoise 2018. Euronoise 2018, 27.05.2018-31.05.2018. Crete, Greece: Hellenic Institute of Acoustics, pp. 2845-2850. http://www.euronoise2018.eu/docs/papers/469_Euronoise2018.pdf
Article
Zheng A, Wang F, Hussain A, Tang J & Jiang B (2018) Spatial-temporal representatives selection and weighted patch descriptor for person re-identification. Neurocomputing, 290, pp. 121-129. https://doi.org/10.1016/j.neucom.2018.02.039
Article
Deterministic sparse FFT for M-sparse vectors
Plonka G, Wannenwetsch K, Cuyt A & Lee W (2018) Deterministic sparse FFT for M-sparse vectors. Numerical Algorithms, 78 (1), pp. 133-159. https://doi.org/10.1007/s11075-017-0370-5
Article
Glucose and lactate as metabolic constraints on presynaptic transmission at an excitatory synapse
Lucas SJ, Michel C, Marra V, Smalley JL, Hennig MH, Graham B & Forsythe ID (2018) Glucose and lactate as metabolic constraints on presynaptic transmission at an excitatory synapse. Journal of Physiology, 596 (9), pp. 1699-1721. https://doi.org/10.1113/JP275107
Article
Liu C, Hussain A, Luo B, Tan KC, Zeng Y & Zhang Z (2018) Special Issue of BICS 2016. Cognitive Computation, 10 (2), pp. 282-283. https://doi.org/10.1007/s12559-018-9551-3
Article
On Nie-Tan operator and type-reduction of interval type-2 fuzzy sets
Li J, John R, Coupland S & Kendall G (2018) On Nie-Tan operator and type-reduction of interval type-2 fuzzy sets. IEEE Transactions on Fuzzy Systems, 26 (2), pp. 1036-1039. https://doi.org/10.1109/TFUZZ.2017.2666842
Article
Anbar M, Abdullah R, Al-Tamimi BN & Hussain A (2018) A Machine Learning Approach to Detect Router Advertisement Flooding Attacks in Next-Generation IPv6 Networks. Cognitive Computation, 10 (2), pp. 201-214. https://doi.org/10.1007/s12559-017-9519-8
Technical Report
Christie LA, Brownlee A & Woodward JR (2018) Investigating Benchmark Correlations when Comparing Algorithms with Parameter Tuning (Detailed Experiments and Results). Not applicable. Stirling: University of Stirling.
Authored Book
Cognitive Agent-based Computing-V: Validated Agent-based Modeling for Complex Adaptive Systems
Niazi MA & Hussain A (2018) Cognitive Agent-based Computing-V: Validated Agent-based Modeling for Complex Adaptive Systems. SpringerBriefs in Cognitive Computation. Dordrecht: Springer.
Technical Report
Brownlee A, Woodward JR & Veerapen N (2018) Relating Training Instances to Automatic Design of Algorithms for Bin Packing via Features (Detailed Experiments and Results). Not applicable. Stirling: University of Stirling.
Article
Mavragani A, Sampri A, Sypsa K & Tsagarakis KP (2018) Integrating Smart Health in the US Health Care System: Infodemiology Study of Asthma Monitoring in the Google Era. JMIR Public Health and Surveillance, 4 (1), Art. No.: e24. https://doi.org/10.2196/publichealth.8726
Article
A novel decision support system for the interpretation of remote sensing big data
Boulila W, Farah IR & Hussain A (2018) A novel decision support system for the interpretation of remote sensing big data. Earth Science Informatics, 11 (1), pp. 31-45. https://doi.org/10.1007/s12145-017-0313-7
Article
Replicable parallel branch and bound search
Archibald B, Maier P, McCreesh C, Stewart R & Trinder P (2018) Replicable parallel branch and bound search. Journal of Parallel and Distributed Computing, 113, pp. 92-114. https://doi.org/10.1016/j.jpdc.2017.10.010
Article
RIPL: A Parallel Image Processing Language for FPGAs
Stewart R, Duncan K, Michaelson G, Garcia P, Bhowmik D & Wallace A (2018) RIPL: A Parallel Image Processing Language for FPGAs. ACM Transactions on Reconfigurable Technology and Systems, 11 (1), Art. No.: 7. https://doi.org/10.1145/3180481
Conference Paper (published)
Smart contracts vulnerabilities: a call for blockchain software engineering?
Destefanis G, Marchesi M, Ortu M, Tonelli R, Bracciali A & Hierons R (2018) Smart contracts vulnerabilities: a call for blockchain software engineering?. In: Tonelli R, Ducasse S S, Fenu G & Bracciali A (eds.) 2018 International Workshop on Blockchain Oriented Software Engineering (IWBOSE). 2018 IEEE 1st International Workshop on Blockchain Oriented Software Engineering (IWBOSE), Campobasso, Italy, 20.03.2018-20.03.2018. Piscataway, NJ, USA: IEEE, pp. 19-25. https://doi.org/10.1109/IWBOSE.2018.8327567
Article
Linson A, Clark A, Ramamoorthy S & Friston K (2018) The Active Inference Approach to Ecological Perception: General Inforation Dynamics for Natural and Artifical Embodied Cognition. Frontiers in Robotics and AI, 5, Art. No.: 21. https://doi.org/10.3389/frobt.2018.00021
Article
A model for estimating pathogen variability in shellfish and predicting minimum depuration times
McMenemy P, Kleczkowski A, Lees DN, Lowther J & Taylor N (2018) A model for estimating pathogen variability in shellfish and predicting minimum depuration times. PLoS ONE, 13 (3), Art. No.: e0193865. https://doi.org/10.1371/journal.pone.0193865
Article
Special Issue Editorial: Cognitively Inspired Computing for Knowledge Discovery
Huang K, Zhang R, Jin X & Hussain A (2018) Special Issue Editorial: Cognitively Inspired Computing for Knowledge Discovery. Cognitive Computation, 10 (1), pp. 1-2. https://doi.org/10.1007/s12559-017-9532-y
Article
Learning from Few Samples with Memory Network
Zhang S, Huang K, Zhang R & Hussain A (2018) Learning from Few Samples with Memory Network. Cognitive Computation, 10 (1), pp. 15-22. https://doi.org/10.1007/s12559-017-9507-z
Article
Clustering-Oriented Multiple Convolutional Neural Networks for Single Image Super-Resolution
Ren P, Sun W, Luo C & Hussain A (2018) Clustering-Oriented Multiple Convolutional Neural Networks for Single Image Super-Resolution. Cognitive Computation, 10 (1), pp. 165-178. https://doi.org/10.1007/s12559-017-9512-2
Conference Paper (published)
Deep learning driven multimodal fusion for automated deception detection
Gogate M, Adeel A & Hussain A (2018) Deep learning driven multimodal fusion for automated deception detection. In: 2017 IEEE Symposium Series on Computational Intelligence, SSCI 2017, Honolulu, HI, USA, November 27 - Dec. 1, 2017. 2017 IEEE Symposium Series on Computational Intelligence (SSCI), Honolulu, HI, USA, 27.11.2017-01.12.2017. Piscataway, NJ, USA: IEEE. https://doi.org/10.1109/ssci.2017.8285382
Book Chapter
Satapathy R, Cambria E & Hussain A (2018) Literature Survey. In: Satapathy R, Cambria E & Hussain A (eds.) Sentiment Analysis in the Bio-Medical Domain: Techniques, Tools, and Applications. Socio-Affective Computing. Amsterdam: Springer Publishing Company, pp. 21-38. https://doi.org/10.1007/978-3-319-68468-0_2
Book Chapter
Satapathy R, Cambria E & Hussain A (2018) SenticNet. In: Satapathy R, Cambria E & Hussain A (eds.) Sentiment Analysis in the Bio-Medical Domain: Techniques, Tools, and Applications. Socio-Affective Computing. Amsterdam: Springer Publishing Company, pp. 39-103. https://doi.org/10.1007/978-3-319-68468-0_3
Conference Paper (published)
Combining deep convolutional neural network and SVM to SAR image target recognition
Gao F, Huang T, Wang J, Sun J, Yang E & Hussain A (2018) Combining deep convolutional neural network and SVM to SAR image target recognition. In: 2017 IEEE International Conference on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, Physical and Social Computing (CPSCom) and IEEE Smart Data (SmartData), volume 2018-January. The 3rd International Conference on Smart Data (SmartData-2017), 21.06.2017-23.06.2017. Exeter, UK: Institute of Electrical and Electronic Engineers, pp. 1082-1085. https://doi.org/10.1109/iThings-GreenCom-CPSCom-SmartData.2017.165
Article
Mothersill C, Abend M, Bréchignac F, Copplestone D, Geras’kin S, Goodman J, Horemans N, Jeggo P, McBride W, Mousseau TA, O’Hare A, Papineni RVL, Powathil G, Schofield PN & Austin B (2018) The tubercular badger and the uncertain curve:- the need for a multiple stressor approach in environmental radiation protection. Environmental Research, 168, pp. 130-140. https://doi.org/10.1016/j.envres.2018.09.031
Article
Semi-supervised learning for big social data analysis
Hussain A & Cambria E (2018) Semi-supervised learning for big social data analysis. Neurocomputing, 275, pp. 1662-1673. https://doi.org/10.1016/j.neucom.2017.10.010
Article
Salvador LCM, Deason M, Enright J, Bessell PR & Kao RR (2018) Risk-based strategies for surveillance of tuberculosis infection in cattle for low-risk areas in England and Scotland. Epidemiology and Infection, 146 (1), pp. 107-118. https://doi.org/10.1017/S0950268817001935
Article
Optimisation of transportation service network using kappa-node large neighbourhood search
Bai R, Woodward J, Subramanian N & Cartlidge J (2018) Optimisation of transportation service network using kappa-node large neighbourhood search. Computers and Operations Research, 89, pp. 193-205. https://doi.org/10.1016/j.cor.2017.06.008
Article
The Internet and the Anti-Vaccine Movement: Tracking the 2017 EU Measles Outbreak
Mavragani A & Ochoa G (2018) The Internet and the Anti-Vaccine Movement: Tracking the 2017 EU Measles Outbreak. Big Data and Cognitive Computing, 2 (1), Art. No.: 2. https://doi.org/10.3390/bdcc2010002
Conference Paper (published)
Mehmood K & Hussain A (2018) Knowledge-oriented leadership and innovation: A mediating role of knowledge creation: A case of software industry. In: 2017 4th International Conference on Systems and Informatics (ICSAI), volume 2018-January. 4th International Conference on Systems and Informatics (ICSAI), Hangzhou, China, 11.11.2017-13.11.2017. Piscataway, NJ, USA: Institute of Electrical and Electronics Engineers, pp. 1647-1651. https://doi.org/10.1109/ICSAI.2017.8248548
Conference Paper (published)
Mehmood K & Hussain A (2018) Managing association of information system outsourcing: A case of information technology (IT) service provider. In: 2017 4th International Conference on Systems and Informatics (ICSAI), volume 2018-January. 4th International Conference on Systems and Informatics (ICSAI), 2017, Huangzhou, China, 11.11.2017-13.11.2017. Piscataway, NJ, USA: Institute of Electrical and Electronics Engineers, pp. 1703-1707. https://www.scopus.com/inward/record.uri?eid=&doi=10.1109%2fICSAI.2017.8248558&partnerID=40&md5=ba3a4573d9b8a5ed161637eaedb90925; https://doi.org/10.1109/ICSAI.2017.8248558
Article
Yeoh TW, Daolio F, Aguirre HE & Tanaka K (2017) On the effectiveness of feature selection methods for gait classification under different covariate factors. Applied Soft Computing, 61, pp. 42-57. https://doi.org/10.1016/j.asoc.2017.07.041
Conference Paper (published)
A comparison of approaches for automated text extraction from scholarly figures
Böschen F & Scherp A (2017) A comparison of approaches for automated text extraction from scholarly figures. In: Amsaleg L, Guðmundsson G, Gurrin C, Jónsson B & Satoh S (eds.) MultiMedia Modeling. MMM 2017. Lecture Notes in Computer Science, 10132. MMM2017: 23rd International Conference on Multimedia Modeling, Reykjavik, Iceland, 04.01.2017-06.01.2017. Cham, Switzerland: Springer, pp. 15-27. https://doi.org/10.1007/978-3-319-51811-4_2
Conference Paper (published)
Sparse interpolation, the FFT algorithm and FIR filters
Briani M, Cuyt A & Lee W (2017) Sparse interpolation, the FFT algorithm and FIR filters. In: Gerdt V, Koepf W, Seiler W & Vorozhtsov E (eds.) Computer Algebra in Scientific Computing - 19th International Workshop, CASC 2017, Beijing, China, September 18-22, 2017, Proceedings. Lecture Notes in Computer Science (LNCS), 10490. 19th International Workshop on Computer Algebra in Scientific Computing, Beijing, China, 18.09.2017-22.09.2017. Cham, Switzerland: Springer International Publishing, pp. 27-39. https://doi.org/10.1007/978-3-319-66320-3
Conference Paper (published)
Content recommendation through semantic annotation of user reviews and linked data
Vagliano I, Monti D, Scherp A & Morisio M (2017) Content recommendation through semantic annotation of user reviews and linked data. In: Proceedings of the Knowledge Capture Conference. Knowledge Capture Conference K-Cap 2017, Austin, TX, USA, 04.12.2017-06.12.2017. New York: ACM, p. Article 32. https://doi.org/10.1145/3148011.3148035
Conference Paper (published)
Using Titles vs. Full-text as source for automated semantic document annotation
Galke L, Mai F, Schelten A, Brunsch D & Scherp A (2017) Using Titles vs. Full-text as source for automated semantic document annotation. In: Proceedings of the Knowledge Capture Conference K-Cap 2017. Knowledge Capture Conference 2017, Austin, TX, USA, 04.12.2017-06.12.2017. New York: ACM, p. Article 20. https://doi.org/10.1145/3148011.3148039
Conference Paper (published)
Scherp A, Mezaris V, Köhler T & Hauptmann A (2017) Welcome message. In: Scherp A, Mezaris V, Köhler T & Hauptmann A (eds.) Proceedings of the 2017 ACM Workshop on Multimedia-based Educational and Knowledge Technologies for Personalized and Social Online Training. 2017 ACM Workshop on Multimedia-based Educational and Knowledge Technologies for Personalized and Social Online Training, 23.10.2017-27.10.2017. California: ACM, pp. iii-iv.
Conference Paper (published)
Scherp A, Mezaris V, Köhler T & Hauptmann A (2017) MultiEdTech 2017: 1st international workshop on multimedia-based educational and knowledge technologies for personalized and social online training. In: Proceedings of the 2017 ACM on Multimedia Conference MM '17. ACM on Multimedia Conference 2017, Mountain View, CA, USA, 23.10.2017-27.10.2017. New York: ACM, pp. 1980-1982. https://doi.org/10.1145/3123266.3132056
Conference Paper (published)
Keeping linked open data caches up-to-date by predicting the life-time of RDF triples
Nishioka C & Scherp A (2017) Keeping linked open data caches up-to-date by predicting the life-time of RDF triples. In: Proceedings of the International Conference on Web Intelligence WI '17. International Conference on Web Intelligence 2017, Leipzig, Germany, 23.08.2017-26.08.2017. New York: ACM, pp. 73-80. https://doi.org/10.1145/3106426.3106463
Conference Paper (published)
Böschen F, Strobel B, Goos S, Liebers C, Rathje B & Scherp A (2017) Evaluation of the comprehensiveness of bar charts with and without stacking functionality using eye-tracking. In: Proceedings of the 2017 Conference on Conference Human Information Interaction and Retrieval (CHIIR '17). Conference on Conference Human Information Interaction and Retrieval 2017, Oslo, Norway, 07.03.2017-11.03.2017. New York: ACM, pp. 337-340. https://doi.org/10.1145/3020165.3022147
Conference Paper (published)
Validated exponential analysis for harmonic sounds
Briani M, Cuyt A & Lee W (2017) Validated exponential analysis for harmonic sounds. In: Torin A, Hamilton B, Bilbao S & Newton M (eds.) Proceedings of the 20th International Conference on Digital Audio Effects (DAFx-17). DAFx proceedings series. 20th International Conference on Digital Audio Effects, Edinburgh, UK, 05.09.2017-09.09.2017. Hamburg, Germany: University of Edinburgh, pp. 222-227. http://www.dafx17.eca.ed.ac.uk/Proceedings.html
Conference Paper (published)
Towards Generic Scalable Parallel Combinatorial Search
Archibald B, Maier P, Stewart R, Trinder P & De Beule J (2017) Towards Generic Scalable Parallel Combinatorial Search. In: PASCO 2017 Proceedings of the International Workshop on Parallel Symbolic Computation. International Workshop on Parallel Symbolic Computation, Kaiserslautern, Germany, 23.07.2017-24.07.2017. New York: ACM, p. 6. https://doi.org/10.1145/3115936.3115942
Book Chapter
Application to Sentiment Analysis
Satapathy R, Cambria E & Hussain A (2017) Application to Sentiment Analysis. In: Satapathy R, Cambria E & Hussain A (eds.) Sentiment Analysis in the Bio-Medical Domain: Techniques, Tools, and Applications. Socio-Affective Computing. New York: Springer International Publishing Ag, pp. 105-125. https://doi.org/10.1007/978-3-319-68468-0_4
Conference Paper (published)
High-dimensional simplexes for supermetric search
Connor R, Vadicamo L & Rabitti F (2017) High-dimensional simplexes for supermetric search. In: Beecks C, Borutta F, Kröger P & Seidl T (eds.) Similarity Search and Applications. SISAP 2017. Lecture Notes in Computer Science, 10609. Similarity Search and Applications 10th International Conference, SISAP 2017, Munich, 04.10.2017-06.10.2017. Cham, Switzerland: Springer, pp. 96-109. https://doi.org/10.1007/978-3-319-68474-1_7
Conference Paper (published)
A general framework for blockchain analytics
Bartoletti M, Bracciali A, Lande S & Pompianu L (2017) A general framework for blockchain analytics. In: SERIAL '17 Proceedings of the 1st Workshop on Scalable and Resilient Infrastructures for Distributed Ledgers. SERIAL '17 - 1st Workshop on Scalable and Resilient Infrastructures for Distributed Ledgers, Las Vegas, NV, USA, 11.12.2017-15.12.2017. New York: ACM, p. Article 7. https://doi.org/10.1145/3152824.3152831
Edited Proceedings
Financial Cryptography and Data Security
Brenner M, Rohloff K, Bonneau J, Miller A, Ryan PYA, Teague V, Bracciali A, Sala M, Pintore F & Jakobsson M (eds.) (2017) Financial Cryptography and Data Security. Lecture Notes in Computer Science; Security and Cryptology, 10323. Financial Cryptography and Data Security: FC 2017 International Workshops, WAHC, BITCOIN, VOTING, WTSC, and TA, Sliema, Malta, 03.04.2017-07.04.2017. Cham, Switzerland: Springer. https://doi.org/10.1007/978-3-319-70278-0
Book Chapter
Iterated VND Versus Hyper-heuristics: Effective and General Approaches to Course Timetabling
Soria-Alcaraz JA, Ochoa G, Sotelo-Figeroa M, Carpio M & Puga H (2017) Iterated VND Versus Hyper-heuristics: Effective and General Approaches to Course Timetabling. In: Melin P, Castillo O & Kacprzyk J (eds.) Nature-Inspired Design of Hybrid Intelligent Systems. Studies in Computational Intelligence, 667. Cham, Switzerland: Springer, pp. 687-700. https://link.springer.com/chapter/10.1007/978-3-319-47054-2_45; https://doi.org/10.1007/978-3-319-47054-2_45
Article
A Bayesian Assessment of Real-World Behavior During Multitasking
Bergmann JHM, Fei J, Green DA, Hussain A & Howard N (2017) A Bayesian Assessment of Real-World Behavior During Multitasking. Cognitive Computation, 9 (6), pp. 749-757. https://doi.org/10.1007/s12559-017-9500-6
Conference Paper (published)
Predicting obesity using longitudinal near infra-red spectroscopy (NIRS) data
Abdullah A, Hussain A & Khan IH (2017) Predicting obesity using longitudinal near infra-red spectroscopy (NIRS) data. In: ICCDA '17 Proceedings of the International Conference on Compute and Data Analysis. ICCDA '17: International Conference on Compute and Data Analysis, Lakeland, FL, USA, 19.05.2017-23.05.2017. New York: ACM, pp. 123-128. https://doi.org/10.1145/3093241.3093286
Edited Proceedings
Computational Intelligence Methods for Bioinformatics and Biostatistics
Bracciali A, Caravagna G, Gilbert D & Tagliaferri R (eds.) (2017) Computational Intelligence Methods for Bioinformatics and Biostatistics. Lecture Notes in Bioinformatics, 10477. International Conference on Computational Methods for Biostatistics and Bioinformatics, Stirling, 01.09.2016-03.09.2016. Cham, Switzerland: Springer. https://doi.org/10.1007/978-3-319-67834-4
Conference Paper (published)
Genetic Improvement of Runtime and its Fitness Landscape in a Bioinformatics Application
Haraldsson S, Woodward J, Brownlee A, Smith AV & Gudnason V (2017) Genetic Improvement of Runtime and its Fitness Landscape in a Bioinformatics Application. In: 2017 Genetic and Evolutionary Computation Conference Companion, GECCO 2017. GECCO 2017: The Genetic and Evolutionary Computation Conference, Berlin, Germany, 15.07.2017-19.07.2017. New York: Association for Computing Machinery, Inc, pp. 1521-1528. https://doi.org/10.1145/3067695.3082526
Conference Paper (published)
Fixing bugs in your sleep: How genetic improvement became an overnight success
Haraldsson S, Woodward J, Brownlee A & Siggeirsdottir K (2017) Fixing bugs in your sleep: How genetic improvement became an overnight success. In: 2017 Genetic and Evolutionary Computation Conference Companion, GECCO 2017. GECCO 2017: The Genetic and Evolutionary Computation Conference, Berlin, Germany, 15.07.2017-19.07.2017. New York: Association for Computing Machinery, Inc, pp. 1513-1520. https://doi.org/10.1145/3067695.3082517
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Comparing hyper-heuristics with blackboard systems
Graham K & Smith L (2017) Comparing hyper-heuristics with blackboard systems. In: 2017 Genetic and Evolutionary Computation Conference Companion, GECCO 2017. GECCO 2017: The Genetic and Evolutionary Computation Conference, Berlin, Germany, 15.07.2017-19.07.2017. New York: Association for Computing Machinery, Inc, pp. 1141-1145. https://doi.org/10.1145/3067695.3082055
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Improve deep learning with unsupervised objective
Zhang S, Huang K, Zhang R & Hussain A (2017) Improve deep learning with unsupervised objective. In: Liu D, Xie S, Li Y, Zhao D & El-Alfy E (eds.) Neural Information Processing. ICONIP 2017. Lecture Notes in Computer Science, 10634. 24th International Conference On Neural Information Processing: ICONIP 2017, Guangzhou, China, 14.11.2017-18.11.2017. Cham, Switzerland: Springer, pp. 720-728. https://doi.org/10.1007/978-3-319-70087-8_74
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Process Algebra with Layers: Multi-scale Integration Modelling applied to Cancer Therapy
Scott E, Nicol J, Coulter J, Hoyle A & Shankland C (2017) Process Algebra with Layers: Multi-scale Integration Modelling applied to Cancer Therapy. In: Bracciali A, Caravagna G, Gilbert D & Tagliaferri R (eds.) Computational Intelligence Methods for Bioinformatics and Biostatistics. CIBB 2016. Lecture Notes in Computer Science, 10477. CIBB2016: 13th International Conference on Computational Intelligence methods for Bioinformatics and Biostatistics, Stirling, UK, 01.09.2016-03.09.2016. Cham, Switzerland: Springer, pp. 118-133. https://doi.org/10.1007/978-3-319-67834-4_10
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Modelling Genetic Improvement Landscapes with Local Optima Networks
Veerapen N, Daolio F & Ochoa G (2017) Modelling Genetic Improvement Landscapes with Local Optima Networks. In: Proceedings of GECCO '17 Conference Companion. Genetic Improvement Workshop 2017, Berlin, Germany, 15.07.2017-15.07.2017. New York: ACM, pp. 1543-1548. http://dx.doi.org/10.1145/3067695.3082518; https://doi.org/10.1145/3067695.3082518
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The Effect of Landscape Funnels in QAPLIB Instances
Thomson S, Ochoa G, Daolio F & Veerapen N (2017) The Effect of Landscape Funnels in QAPLIB Instances. In: Proceedings of the Genetic and Evolutionary Computation Conference Companion 2017, Berlin, Germany, July 15–19, 2017 (GECCO ’17). GECCO ’17: The Genetic and Evolutionary Computation Conference, Berlin, Germany, 15.07.2017-19.07.2017. New York: ACM, pp. 1495-1500. https://doi.org/10.1145/3067695.3082512
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Shaping communities of local optima by perturbation strength
Herrmann S, Herrmann M, Ochoa G & Rothlauf F (2017) Shaping communities of local optima by perturbation strength. In: GECCO '17: Proceedings of the Genetic and Evolutionary Computation Conference. GECCO 2017: Genetic and Evolutionary Computation Conference, Berlin, Germany, 15.07.2017-19.07.2017. New York: ACM, pp. 266-273. https://doi.org/10.1145/3071178.3071243
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Chicano F, Whitley D, Ochoa G & Tinós R (2017) Optimizing one million variable NK landscapes by hybridizing deterministic recombination and local search. In: GECCO '17: Proceedings of the Genetic and Evolutionary Computation Conference. GECCO 2017: The Genetic and Evolutionary Computation Conference, Berlin, Germany, 15.07.2017-19.07.2017. New York: ACM, pp. 753-760. https://doi.org/10.1145/3071178.3071285
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Comparing Communities of Optima with Funnels in Combinatorial Fitness Landscapes
Thomson S, Daolio F & Ochoa G (2017) Comparing Communities of Optima with Funnels in Combinatorial Fitness Landscapes. In: Proceedings of the Genetic and Evolutionary Computation Conference 2017, Berlin, Germany, July 15–19, 2017 (GECCO ’17). GECCO ’17: The Genetic and Evolutionary Computation Conference, Berlin, Germany, 15.07.2017-19.07.2017. New York: ACM, pp. 377-384. https://doi.org/10.1145/3071178.3071211
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More on graphs with just three distinct eigenvalues
Rowlinson P (2017) More on graphs with just three distinct eigenvalues. Applicable Analysis and Discrete Mathematics, 11, pp. 74-80. https://doi.org/10.2298/AADM161111033R
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A hybrid model of attribute aggregation in federated identity management
Ferdous MS, Chowdhury F & Poet R (2017) A hybrid model of attribute aggregation in federated identity management. In: Chang V, Ramachandran M, Walters R & Wills G (eds.) Enterprise Security. Lecture Notes in Computer Science, 10131. Enterprise Security Second International Workshop, ES 2015, Vancouver, BC, Canada, 30.11.2015-03.12.2015. Cham, Switzerland: Springer, pp. 120-154. https://doi.org/10.1007/978-3-319-54380-2_6
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Drake JH, Swan J, Neumann G & Ozcan E (2017) Sparse, continuous policy representations for uniform online bin packing via regression of interpolants. In: Hu B & Lopez-Ibanez M (eds.) Evolutionary Computation in Combinatorial Optimization. EvoCOP 2017. Lecture Notes in Computer Science, 10197. European Conference on Evolutionary Computation in Combinatorial Optimization: EvoCOP 2017, Amsterdam, The Netherlands, 19.04.2017-21.04.2017. Cham, Switzerland: Springer, pp. 189-200. https://doi.org/10.1007/978-3-319-55453-2_13
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A novel brain-inspired compression-based optimised multimodal fusion for emotion recognition
Gogate M, Adeel A & Hussain A (2017) A novel brain-inspired compression-based optimised multimodal fusion for emotion recognition. In: 2017 IEEE Symposium Series on Computational Intelligence (SSCI). 2017 IEEE Symposium Series on Computational Intelligence (SSCI). Piscataway, NJ, USA: IEEE. https://doi.org/10.1109/SSCI.2017.8285377
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Visualising the Search Landscape of the Triangle Program
Langdon WB, Veerapen N & Ochoa G (2017) Visualising the Search Landscape of the Triangle Program. In: McDermott J, Castelli M, Sekanina L, Haasdijk E & García-Sánchez P (eds.) EuroGP 2017: Genetic Programming. Lecture Notes in Computer Science, 10196. The 20th European Conference on Genetic Programming (EuroGP), Amsterdam, The Netherlands, 19.04.2017-21.04.2017. Cham, Switzerland: Springer, pp. 96-113. https://doi.org/10.1007/978-3-319-55696-3_7
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An estimation of distribution algorithm for public transport driver scheduling
Shen Y, Li J & Peng K (2017) An estimation of distribution algorithm for public transport driver scheduling. International Journal of Operational Research, 28 (2), pp. 245-262. https://doi.org/10.1504/IJOR.2017.081483
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High capacity content addressable memory with mixed order hyper networks
Swingler K (2017) High capacity content addressable memory with mixed order hyper networks. In: Merelo J, Rosa A, Cadenas J, Correia A, Mandani K, Ruano A & Filipe J (eds.) Computational Intelligence: International Joint Conference, IJCCI 2015 Lisbon, Portugal, November 12-14, 2015, Revised Selected Papers. Studies in Computational Intelligence, 669. Computational Intelligence International Joint Conference, IJCCI 2015, Lisbon, Portugal, 12.11.2015-14.11.2015. Cham, Switzerland: Springer, pp. 337-358. https://doi.org/10.1007/978-3-319-48506-5_17
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Performance analysis of structured peer-to-peer overlays for mobile networks
Chowdhury F, Furness J & Kolberg M (2017) Performance analysis of structured peer-to-peer overlays for mobile networks. International Journal of Parallel, Emergent and Distributed Systems, 32 (5), pp. 522-548. https://doi.org/10.1080/17445760.2016.1203917