Computing Science & Mathematics

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Outputs related to Computing Science & Mathematics

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Conference Proceeding

The strategic placement of mobile agents on a hexagonal graph using game theory

Plekhanova T, Gromova E, Gromov D, Blakeway S & Kirpichnikova A (2017) The strategic placement of mobile agents on a hexagonal graph using game theory. In: 2017 XXVI International Conference on Information, Communication and Automation Technologies (ICAT). 2017 XXVI International Conference on Information, Communication and Automation Technologies (ICAT), Sarajevo, Bosnia-Herzegovina, 26.10.2017-28.10.2017. Piscataway, NJ, USA: IEEE, pp. 1-6. https://doi.org/10.1109/icat.2017.8171635

Conference Proceeding

Wavelet-Based Reflection Symmetry Detection via Textural and Color Histograms

Elawady M, Ducottet C, Alata O, Barat C & Colantoni P (2017) Wavelet-Based Reflection Symmetry Detection via Textural and Color Histograms. In: 2017 IEEE International Conference on Computer Vision Workshops (ICCVW). 2017 IEEE International Conference on Computer Vision Workshop (ICCVW), Venice, 22.10.2017-29.10.2017. Piscataway, NJ, USA: IEEE. https://doi.org/10.1109/iccvw.2017.202

Conference Proceeding

Wavelet-Based Reflection Symmetry Detection via Textural and Color Histograms: Algorithm and Results

Elawady M, Ducottet C, Alata O, Barat C & Colantoni P (2017) Wavelet-Based Reflection Symmetry Detection via Textural and Color Histograms: Algorithm and Results. In: 2017 IEEE International Conference on Computer Vision Workshops (ICCVW). 2017 IEEE International Conference on Computer Vision Workshop (ICCVW), Venice, Italy, 22.10.2017-29.10.2017. Piscataway, NJ, USA: IEEE. https://doi.org/10.1109/iccvw.2017.203

Conference Proceeding

Interplay of STDP and Dendritic Plasticity in a Hippocampal CA1 Pyramidal Neuron Model

Saudargiene A, Jackevicius R & Graham B (2017) Interplay of STDP and Dendritic Plasticity in a Hippocampal CA1 Pyramidal Neuron Model. In: Lintas A, Rovetta S, Verschure P & Villa A (eds.) Artificial Neural Networks and Machine Learning – ICANN 2017. Lecture Notes in Computer Science, 10613. ICANN 2017: Artificial Neural Networks and Machine Learning, Alghero, Italy, 11.09.2017-14.09.2017. Cham, Switzerland: Springer, pp. 381-388. https://doi.org/10.1007/978-3-319-68600-4_44

Conference Proceeding

Power efficient dataflow design for a heterogeneous smart camera architecture

Bhowmik D, Garcia P, Wallace A, Stewart R & Michaelson G (2017) Power efficient dataflow design for a heterogeneous smart camera architecture. In: 2017 Conference on Design and Architectures for Signal and Image Processing (DASIP). 2017 Conference on Design and Architectures for Signal and Image Processing (DASIP), 27.09.2017-29.09.2017. Dresden, Germany: IEEE. https://doi.org/10.1109/dasip.2017.8122128

Article

Assessment of Miscanthus × giganteus derived biochar as copper and zinc adsorbent: Study of the effect of pyrolysis temperature, pH and hydrogen peroxide modification

Cibati A, Foereid B, Bissessur A & Hapca S (2017) Assessment of Miscanthus × giganteus derived biochar as copper and zinc adsorbent: Study of the effect of pyrolysis temperature, pH and hydrogen peroxide modification. Journal of Cleaner Production, 162, pp. 1285-1296. https://doi.org/10.1016/j.jclepro.2017.06.114

Conference Proceeding

The use of predictive models in dynamic treatment planning

Haraldsson S, Brynjolfsdottir RD, Woodward J, Siggeirsdottir K & Gudnason V (2017) The use of predictive models in dynamic treatment planning. In: 2017 IEEE Symposium on Computers and Communications (ISCC). IEEE Symposium on Computers and Communications (ISCC 2017), Heraklion, Greece, 03.07.2017-06.07.2017. Piscataway, NJ, USA: IEEE, pp. 242-247. https://doi.org/10.1109/ISCC.2017.8024536

Conference Proceeding

Preventing Frail and Elderly Hospital Admissions: Developing an Evaluation Framework for the "Closer to Home" Quality Improvement Programme in NHS Forth Valley

(2017) Preventing Frail and Elderly Hospital Admissions: Developing an Evaluation Framework for the "Closer to Home" Quality Improvement Programme in NHS Forth Valley. DH '17: International Conference on Digital Health, London United Kingdom, 02.07.2017-05.07.2017. ACM. https://dl.acm.org/doi/abs/10.1145/3079452.3079481; https://doi.org/10.1145/3079452.3079481

Conference Proceeding

Local Optima Networks for the Permutation Flowshop Scheduling Problem: Makespan vs. Total Flow Time

Hernando L, Daolio F, Veerapen N & Ochoa G (2017) Local Optima Networks for the Permutation Flowshop Scheduling Problem: Makespan vs. Total Flow Time. In: 2017 IEEE Congress on Evolutionary Computation (CEC). IEEE Congress on Evolutionary Computation 2017, San Sebastián, Spain, 05.06.2017-08.06.2017. Piscataway, NJ, USA: IEEE, pp. 1964-1971. https://doi.org/10.1109/CEC.2017.7969541

Conference Proceeding

Exploring Fitness and Edit Distance of Mutated Python Programs

Haraldsson S, Woodward J, Brownlee A & Cairns D (2017) Exploring Fitness and Edit Distance of Mutated Python Programs. In: McDermott J, Castelli M, Sekanina L, Haasdijk E & García-Sánchez P (eds.) Genetic Programming: 20th European Conference, EuroGP 2017, Amsterdam, The Netherlands, April 19-21, 2017, Proceedings. Lecture Notes in Computer Science, 10196. EuroGP 2017: Genetic Programming, Amsterdam, The Netherlands, 19.04.2017-21.04.2017. Cham: Springer International Publishing, pp. 19-34. https://doi.org/10.1007/978-3-319-55696-3_2

Conference Proceeding

Understanding Phase Transitions with Local Optima Networks: Number Partitioning as a Case Study

Ochoa G, Veerapen N, Daolio F & Tomassini M (2017) Understanding Phase Transitions with Local Optima Networks: Number Partitioning as a Case Study. In: Bin H & Lopez-Ibanez M (eds.) Evolutionary Computation in Combinatorial Optimization. EvoCOP 2017. Lecture Notes in Computer Science, 10197. 17th European Conference on Evolutionary Computation in Combinatorial Optimisation (EvoCOP), Amsterdam, The Netherlands, 19.04.2017-21.04.2017. Cham, Switzerland: Springer. https://doi.org/10.1007/978-3-319-55453-2_16

Article

Readiness for Delivering Digital Health at Scale: Lessons From a Longitudinal Qualitative Evaluation of a National Digital Health Innovation Program in the United Kingdom

Lennon MR, Bouamrane M, Devlin AM, O'Connor S, O'Donnell C, Chetty U, Agbakoba R, Bikker A, Grieve E, Finch T, Watson N, Wyke S & Mair FS (2017) Readiness for Delivering Digital Health at Scale: Lessons From a Longitudinal Qualitative Evaluation of a National Digital Health Innovation Program in the United Kingdom. Journal of Medical Internet Research, 19 (2), p. e42. https://www.jmir.org/2017/2/e42; https://doi.org/10.2196/jmir.6900

Conference Proceeding

Lung cancer detection using Local Energy-based Shape Histogram (LESH) feature extraction and cognitive machine learning techniques

Wajid S, Hussain A, Huang K & Boulila W (2017) Lung cancer detection using Local Energy-based Shape Histogram (LESH) feature extraction and cognitive machine learning techniques. In: 2016 IEEE 15th International Conference on Cognitive Informatics & Cognitive Computing (ICCI*CC). 2016 IEEE 15th International Conference on Cognitive Informatics & Cognitive Computing (ICCI*CC), Palo Alto, CA, USA, 22.08.2016-23.08.2016. Piscataway, NJ, USA: IEEE, pp. 359-366. https://doi.org/10.1109/ICCI-CC.2016.7862060

Conference Proceeding

A new fast large neighbourhood search for service network design with asset balance constraints

Bai R, Woodward J & Subramanian N (2017) A new fast large neighbourhood search for service network design with asset balance constraints. In: 2016 IEEE Symposium Series on Computational Intelligence (SSCI). 2016 IEEE Symposium Series on Computational Intelligence (SSCI), Athens, Greece, 06.12.2016-09.12.2016. Piscataway, NJ, USA: Institute of Electrical and Electronic Engineers, Inc. https://doi.org/10.1109/SSCI.2016.7850084

Conference Proceeding

Convolutional MKL based multimodal emotion recognition and sentiment analysis

Poria S, Chaturvedi I, Cambria E & Hussain A (2017) Convolutional MKL based multimodal emotion recognition and sentiment analysis. In: Bonchi F, Domingo-Ferrer J, Baeza-Yates R, Zhou Z & Wu X (eds.) Proceedings - IEEE 16th International Conference on Data Mining, ICDM 2016. 2016 IEEE 16th International Conference on Data Mining, Barcelona, Spain, 12.12.2016-15.12.2016. Los Alamitos, CA, USA: IEEE Computer Society, pp. 439-448. https://doi.org/10.1109/ICDM.2016.178

Conference Proceeding

Learning to semantically segment high-resolution remote sensing images

Nogueira K, Dalla Mura M, Chanussot J, Schwartz WR & dos Santos JA (2016) Learning to semantically segment high-resolution remote sensing images. In: 2016 23rd International Conference on Pattern Recognition (ICPR) Proceedings. 2016 23rd International Conference on Pattern Recognition (ICPR), Cancun, Mexico, 04.12.2016-08.12.2016. Piscataway, NJ: IEEE, pp. 3566-3571. https://doi.org/10.1109/icpr.2016.7900187

Conference Proceeding

Sparse interpolation and rational approximation

Cuyt A & Lee W (2016) Sparse interpolation and rational approximation. In: Hardin D, Lubinsky D & Simanek B (eds.) Modern Trends in Constructive Function Theory. Contemporary Mathematics, 661. Constructive Functions 2014 - Conference in Honor of Ed Saff's 70th Birthday, Nashville, TN, USA, 26.05.2014-30.05.2014. Providence, RI, USA: American Mathematical Society, pp. 229-242. https://bookstore.ams.org/conm-661

Conference Proceeding

TermPicker: Enabling the reuse of vocabulary terms by exploiting data from the linked open data cloud

Schaible J, Gottron T & Scherp A (2016) TermPicker: Enabling the reuse of vocabulary terms by exploiting data from the linked open data cloud. In: Sack H, Blomqvist E, d'Aquin M, Ghidini C & Paolo Ponzetto S (eds.) The Semantic Web. Latest Advances and New Domains. ESWC 2016. Lecture Notes in Computer Science, 9678. European Semantic Web Conference 2016, Heraklion, Greece, 29.05.2016-02.06.2016. Cham, Switzerland: Springer Verlag, pp. 101-117. https://doi.org/10.1007/978-3-319-34129-3_7

Conference Proceeding

Comparing vocabulary term recommendations using association rules and learning to rank: A user study

Schaible J, Szekely P & Scherp A (2016) Comparing vocabulary term recommendations using association rules and learning to rank: A user study. In: Sack H, Blomqvist E, d'Aquin M, Ghidini C, Paolo Ponzetto S & Lange C (eds.) The Semantic Web. Latest Advances and New Domains. ESWC 2016, volume 9678. Lecture Notes in Computer Science, 9678. European Semantic Web Conference (ESWC) 2016, Crete, Greece, 29.05.2016-02.06.2016. Cham, Switzerland: Springer Verlag, pp. 214-230. https://doi.org/10.1007/978-3-319-34129-3_14

Conference Proceeding

A short-time Prony method for the detection of transients

Cuyt A, Lee W & Tsai M (2016) A short-time Prony method for the detection of transients. In: Papadrakakis M, Papadopoulos V, Stefanou G & Plevris V (eds.) ECCOMAS Congress 2016 - VII European Congress on Computational Methods in Applied Sciences and Engineering Proceedings. VII European Congress on Computational Methods in Applied Sciences and Engineering (ECCOMAS Congress 2016), Crete Island, Greece, 05.06.2016-10.06.2016. Athens, Greece: Institute of Structural Analysis and Antiseismic Research, National Technical University of Athens, pp. 4313-4321. https://www.eccomas2016.org/proceedings/pdf/7676.pdf

Conference Proceeding

Profiling vs. time vs. content: What does matter for top-k publication recommendation based on Twitter profiles?

Nishioka C & Scherp A (2016) Profiling vs. time vs. content: What does matter for top-k publication recommendation based on Twitter profiles?. In: Proceedings of the 16th ACM/IEEE-CS on Joint Conference on Digital Libraries (JCDL '16), volume 2016-September. 16th ACM/IEEE-CS Joint Conference on Digital Libraries, Newark, NJ, USA, 19.06.2016-23.06.2016. Piscataway, NJ, USA: ACM, pp. 171-180. https://doi.org/10.1145/2910896.2910898

Conference Proceeding

Comparing tweet classifications by authors' hashtags, machine learning, and human annotators

Nishioka C, Scherp A & Dellschaft K (2016) Comparing tweet classifications by authors' hashtags, machine learning, and human annotators. In: 2015 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT), volume 1. 2015 International Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT), 06.12.2015-09.12.2015. Singapore: Institute of Electrical and Electronics Engineers, pp. 67-74. https://doi.org/10.1109/WI-IAT.2015.69

Conference Proceeding

Information-theoretic analysis of entity dynamics on the linked open data cloud

Nishioka C & Scherp A (2016) Information-theoretic analysis of entity dynamics on the linked open data cloud. In: Demidova E, Dietze S, Szymański J & Breslin J (eds.) Dataset Profiling and Federated Search for Linked Data: Proceedings of the 3rd International Workshop on Dataset PROFIling and fEderated Search for Linked Data (PROFILES '16) co-located with the 13th ESWC 2016 Conference, volume 1597. CEUR Workshop Proceedings, 1597. PROFILES 2016: 3rd International Workshop on Dataset Profiling and Federated Search for Linked Data, Anissaras, Greece, 30.05.2016-30.05.2016. Aachen, Germany: CEUR Workshop Proceedings. http://ceur-ws.org/Vol-1597/

Conference Proceeding

Qualitative analysis of vocabulary evolution on the linked open data cloud

Abdel-Qader M & Scherp A (2016) Qualitative analysis of vocabulary evolution on the linked open data cloud. In: Demidova E, Dietze S, Szymański J & Breslin J (eds.) Proceedings of the 3rd International Workshop on Dataset PROFIling and fEderated Search for Linked Data (PROFILES '16) co-located with the 13th ESWC 2016 Conference, volume 1597. CEUR Workshop Proceedings, 1597. Dataset Profiling and Federated Search for Linked Data: 3rd International Workshop on Dataset Profiling and Federated Search for Linked Data (PROFILES '16), Anissaras, Greece, 30.05.2016-30.05.2016. Aachen, Germany: CEUR Workshop Proceedings. http://ceur-ws.org/Vol-1597/

Conference Proceeding

ELLIS: Interactive exploration of Linked Data on the level of induced schema patterns

Gottron T, Knauf M, Scherp A & Schaible J (2016) ELLIS: Interactive exploration of Linked Data on the level of induced schema patterns. In: Thalhammer A, Cheng G & Gunaratna K (eds.) Summarizing and Presenting Entities and Ontologies: Proceedings of the 2nd International Workshop on Summarizing and Presenting Entities and Ontologies (SumPre 2016) co-located with the 13th Extended Semantic Web Conference (ESWC 2016), volume 1605. CEUR Workshop Proceedings, 1605. SumPre 2016 - 2nd International Workshop on Summarizing and Presenting Entities and Ontologies, 30.05.2016-30.05.2016. Anissaras: CEUR Workshop Proceedings. http://ceur-ws.org/Vol-1605/

Conference Proceeding

Reference point hyperplane trees

Connor R (2016) Reference point hyperplane trees. In: Amsaleg L, Houle M & Schubert E (eds.) Similarity Search and Applications. SISAP 2016. Lecture Notes in Computer Science, 9939. International Conference on Similarity Search and Applications, SISAP 2016, Tokyo, Japan, 24.10.2016-26.10.2016. Cham, Switzerland: Springer, pp. 65-78. https://doi.org/10.1007/978-3-319-46759-7_5

Conference Proceeding

A tale of four metrics

Connor R (2016) A tale of four metrics. In: Amsaleg L, Houle M & Schubert E (eds.) Similarity Search and Applications. SISAP 2016. Lecture Notes in Computer Science, 9939. 9th International Conference on Similarity Search and Applications, SISAP 2016, Tokyo, Japan, 24.10.2016-26.10.2016. Cham, Switzerland: Springer, pp. 210-217. https://doi.org/10.1007/978-3-319-46759-7_16

Conference Proceeding

Supermetric search with the four-point property

Connor R, Vadicamo L, Cardillo FA & Rabitti F (2016) Supermetric search with the four-point property. In: Amsaleg L, Houle M & Schubert E (eds.) Similarity Search and Applications. SISAP 2016. Lecture Notes in Computer Science, 9939. International Conference on Similarity Search and Applications, SISAP 2016, Tokyo, Japan, 24.10.2016-26.10.2016. Cham, Switzerland: Springer, pp. 51-64. https://doi.org/10.1007/978-3-319-46759-7_4

Conference Proceeding

A Dataflow IR for Memory Efficient RIPL Compilation to FPGAs

Stewart R, Michaelson G, Bhowmik D, Garcia P & Wallace A (2016) A Dataflow IR for Memory Efficient RIPL Compilation to FPGAs. In: Díaz-Martín J, Carretero J, Garcia-Blas J, Gergel V, Voevodin V, Meyerov I, Rico-Gallego J, Alonso P, Durillo J, Garcia Sánchez J, Lastovetsky A, Marozzo F, Liu Q, Bhuiyan Z & Fürlinger K (eds.) Algorithms and Architectures for Parallel Processing. ICA3PP 2016. Lecture Notes in Computer Science, 10049. ICA3PP 2016: Algorithms and Architectures for Parallel Processing, Granada, Spain, 14.12.2016-16.12.2016. Cham, Switzerland: Springer International Publishing, pp. 174-188. https://doi.org/10.1007/978-3-319-49956-7_14

Conference Proceeding

The Multi-Funnel Structure of TSP Fitness Landscapes: A Visual Exploration

Ochoa G, Veerapen N, Whitley D & Burke E (2016) The Multi-Funnel Structure of TSP Fitness Landscapes: A Visual Exploration. In: Bonnevay S, Legrand P, Monmarché N, Lutton E & Schoenauer M (eds.) Artificial Evolution: 12th International Conference, Evolution Artificielle, EA 2015, Lyon, France, October 26-28, 2015. Revised Selected Papers. Lecture Notes in Computer Science, 9554. International Conference on Artificial Evolution (EA-2015), Lyon, France, 26.10.2015-28.10.2015. Cham, Switzerland: Springer, pp. 1-13. https://doi.org/10.1007/978-3-319-31471-6_1

Conference Proceeding

Opening the Black Box: Analysing MLP Functionality Using Walsh Functions

Swingler K (2016) Opening the Black Box: Analysing MLP Functionality Using Walsh Functions. In: Merelo J, Rosa A, Cadenas J, Dourado A, Madani K & Filipe J (eds.) Computational Intelligence. Studies in Computational Intelligence, 620. International Joint Conference on Computational Intelligence (IJCCI) 2014, Rome, Italy, 22.10.2014-24.10.2014. Cham, Switzerland: Springer, pp. 303-323. https://doi.org/10.1007/978-3-319-26393-9_18

Conference Proceeding

Mining Markov Network Surrogates for Value-Added Optimisation

Brownlee A (2016) Mining Markov Network Surrogates for Value-Added Optimisation. In: Friedrich T (ed.) GECCO '16 Companion Proceedings of the 2016 on Genetic and Evolutionary Computation Conference Companion. Genetic and Evolutionary Computation Conference GECCO’16, Denver, CO, USA, 20.07.2016-24.07.2016. New York: ACM, pp. 1267-1274. https://doi.org/10.1145/2908961.2931711

Conference Proceeding

Additional Dimensions to the Study of Funnels in Combinatorial Landscapes

Ochoa G & Veerapen N (2016) Additional Dimensions to the Study of Funnels in Combinatorial Landscapes. In: GECCO '16 Proceedings of the 2016 Genetic and Evolutionary Computation Conference 2016. The 2016 Genetic and Evolutionary Computation Conference (GECCO 2016), Denver, Colorado, USA, 20.07.2016-24.07.2016. New York, NY, USA: ACM, pp. 373-380. http://dl.acm.org/citation.cfm?id=2908820&CFID=827599008&CFTOKEN=74602334; https://doi.org/10.1145/2908812.2908820

Conference Proceeding

TCP Goes to Hollywood

McQuistin S, Perkins C & Fayed M (2016) TCP Goes to Hollywood. In: NOSSDAV '16 Proceedings of the 26th International Workshop on Network and Operating Systems Support for Digital Audio and Video. 26th ACM Workshop on Network and Operating Systems Support for Digital Audio and Video, NOSSDAV 2016, Klagenfurt, Austria, 10.05.2016-13.05.2016. New York: ACM, pp. 25-30. https://doi.org/10.1145/2910642.2910648

Conference Proceeding

Building a Better Mouse Maze

Enright J & Faben JD (2016) Building a Better Mouse Maze. In: Demaine ED E & Grandoni F (eds.) 8th International Conference on Fun with Algorithms, FUN 2016, June 8–10, 2016, La Maddalena, Italy. LIPIcs: Leibniz International Proceedings in Informatics. 8th International Conference on Fun with Algorithms, La Maddalena, Italy, 08.06.2016-10.06.2016. Saarbrucken/Wadern, Germany: Dagstuhl Publishing, pp. 15:1-15:12. http://www2.idsia.ch/cms/fun16/; https://doi.org/10.4230/LIPIcs.FUN.2016.15

Conference Proceeding

A Targeted Estimation of Distribution Algorithm Compared to Traditional Methods in Feature Selection

Neumann G & Cairns D (2016) A Targeted Estimation of Distribution Algorithm Compared to Traditional Methods in Feature Selection. In: Madani K, Dourado A, Rosa A, Filipe J & Kacprzyk J (eds.) Computational Intelligence: Revised and Selected Papers of the International Joint Conference, IJCCI 2013, Vilamoura, Portugal, September 20-22, 2013. Studies in Computational Intelligence, 613. 5th International Joint Conference on Computational Intellegience, IJCCI 2013, Vilamoura, Portugal, 20.09.2013-22.09.2013. Cham, Switzerland: Springer, pp. 83-103. http://link.springer.com/chapter/10.1007/978-3-319-23392-5_5; https://doi.org/10.1007/978-3-319-23392-5_5

Conference Proceeding

GP vs GI: if you can't beat them, join them

Woodward J, Johnson C & Brownlee A (2016) GP vs GI: if you can't beat them, join them. In: Friedrich T (ed.) GECCO '16 Companion Proceedings of the 2016 on Genetic and Evolutionary Computation Conference Companion. Genetic and Evolutionary Computation Conference, GECCO-2016, Denver, CO, USA, 20.07.2016-24.07.2016. New York: ACM, pp. 1155-1156. https://doi.org/10.1145/2908961.2931694

Conference Proceeding

Evals is not enough: why we should report wall-clock time

Woodward J, Brownlee A & Johnson C (2016) Evals is not enough: why we should report wall-clock time. In: Friedrich T (ed.) GECCO '16 Companion Proceedings of the 2016 on Genetic and Evolutionary Computation Conference Companion. GECCO 2016: Genetic and Evolutionary Computation Conference, Denver, CO, USA, 20.07.2016-24.07.2016. New York: ACM, pp. 1157-1158. https://doi.org/10.1145/2908961.2931695

Conference Proceeding

Connecting automatic parameter tuning, genetic programming as a hyper-heuristic and genetic improvement programming

Woodward J, Johnson C & Brownlee A (2016) Connecting automatic parameter tuning, genetic programming as a hyper-heuristic and genetic improvement programming. In: Friedrich T (ed.) GECCO '16 Companion Proceedings of the 2016 on Genetic and Evolutionary Computation Conference Companion. GECCO 2016: Genetic and Evolutionary Computation Conference, Denver, CO, USA, 20.07.2016-24.07.2016. New York: ACM, pp. 1357-1358. https://doi.org/10.1145/2908961.2931728

Conference Proceeding

Deep and sparse learning in speech and language processing: An overview

Wang D, Zhou Q & Hussain A (2016) Deep and sparse learning in speech and language processing: An overview. In: Liu C, Hussain A, Luo B, Tan K, Zeng Y & Zhang Z (eds.) Advances in Brain Inspired Cognitive Systems. BICS 2016. Lecture Notes in Computer Science, 10023. BICS 2016: 8th International Conference on Brain-Inspired Cognitive Systems, Beijing, China, 28.11.2016-30.11.2016. Cham, Switzerland: Springer, pp. 171-183. https://doi.org/10.1007/978-3-319-49685-6_16