Items where Subject is "Q Science > QA Mathematics (inc Computing science) > QA 76 Software, computer programming, > QA76.87 Neural computers, neural networks"

Library of Congress Subject Areas (56970)
- Q Science (15994)
  - QA Mathematics (inc Computing science) (6062)
    - QA 76 Software, computer programming, (3665)
      - QA76.87 Neural computers, neural networks (82)

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Number of items at this level: 80.

A

Alexandridis, Antonios, Kampouridis, Michael, Cramer, Sam (2017) A Comparison between Wavelet Networks and Genetic Programming in the Context of Temperature Derivatives. International Journal of Forecasting, 33 (1). pp. 21-47. ISSN 0169-2070. (doi:10.1016/j.ijforecast.2016.07.002) (KAR id:57441)

Alexandridis, Antonis, Zapranis, Achilleas (2014) Wavelet Neural Networks: With Applications in Financial Engineering, Chaos, and Classification. John Wiley & Sons, New Jersey, USA, 264 pp. ISBN 978-1-118-59252-6. (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:41084)

Altuncu, Enes, Franqueira, Virginia N. L., Li, Shujun (2022) Deepfake: Definitions, Performance Metrics and Standards, Datasets and Benchmarks, and a Meta-Review. arXiv, . (Submitted) (doi:10.48550/arXiv.2208.10913) (KAR id:97945)

Androvitsaneas, V. P., Alexandridis, Antonis, Gonos, I. F., Dounias, G (2014) Wavelet neural networks for ground resistance estimation. In: International Conference on High Voltage Engineering and Application, 8-11 September, 2014, Poznan, Poland. (KAR id:43497)

Androvitsaneas, V. P., Alexandridis, Antonis, Gonos, I. F., Dounias, G, Stathopoulos, I. A. (2016) Wavelet Neural Network Methodology for Ground Resistance Forecasting. Electric Power Systems Research, 140 . pp. 288-295. ISSN 0378-7796. (doi:10.1016/j.epsr.2016.06.013) (KAR id:55889)

Asensio-Cubero, Javier, Gan, John Q., Palaniappan, Ramaswamy (2013) Extracting optimal tempo-spatial features using local discriminant bases and common spatial patterns for brain computer interfacing. Biomedical Signal Processing and Control, 8 (6). pp. 772-778. ISSN 1746-8094. (doi:10.1016/j.bspc.2013.07.004) (KAR id:50390)

B

Bai, Lu, Yeung, Chris, Efstratiou, Christos, Chikomo, Moyra (2019) Motion2Vector: Unsupervised Learning in Human Activity Recognition Using Wrist-Sensing Data. In: CPD 2019: THE 2nd Workshop on Combining Physical and Data-Driven Knowledge in Ubiquitous Computing, in conjunction with Ubicomp'19, 9 Sep 2019. (KAR id:76275)

C

Canuto, Anne, Fairhurst, Michael, Howells, Gareth (2003) Enhancing Multi-Neural Systems through the use of Hybrid Structures. In: Neural Networks, 2004. Proceedings. 2003 IEEE International Joint Conference on. . IEEE ISBN 0-7803-7898-9. (doi:10.1109/IJCNN.2003.1223364) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:59312)

Canuto, Anne, Howells, Gareth, Fairhurst, Michael (1999) A Comparative Performance Evaluation of the RePart Neuro-Fuzzy Network. In: Sixth UK Workshop on Fuzzy Systems, 1999, Uxbridge, UK. (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:59315)

Canuto, Anne, Howells, Gareth, Fairhurst, Michael (2000) Network Combination Strategies for a Hybrid Neuro-Fuzzy Multi-Expert System. In: 8th International Conference on Information Processing and Management of Uncertants in Knowledge Based Systems. (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:59313)

Champion, Théophile, Bowman, Howard, Grzes, Marek (2022) Branching Time Active Inference: empirical study and complexity class analysis. Neural Networks, 152 . pp. 450-466. ISSN 0893-6080. (doi:10.1016/j.neunet.2022.05.010) (KAR id:98200)

Champion, Théophile, Da Costa, Lancelot, Bowman, Howard, Grześ, Marek (2022) Branching Time Active Inference: The theory and its generality. Neural Networks, 151 . pp. 295-316. ISSN 0893-6080. (doi:10.1016/j.neunet.2022.03.036) (KAR id:93990)

D

de Lemos, Rogerio, Grzes, Marek (2019) Self-adaptive Artificial Intelligence. In: 2019 IEEE/ACM 14th International Symposium on Software Engineering for Adaptive and Self-Managing Systems (SEAMS). . IEEE, New York, NY, USA ISBN 978-1-72813-368-3. (doi:10.1109/SEAMS.2019.00028) (KAR id:73259)

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Falk, Michael (2021) Artificial Stupidity. Interdisciplinary Science Reviews, 46 (1-2). pp. 36-52. ISSN 0308-0188. (doi:10.1080/03080188.2020.1840219) (KAR id:82585)

Ferrario, Andrea, Palyanov, Andrey, Koutsikou, Stella, Li, Wenchang, Soffe, Stephen R., Roberts, Alan, Borisyuk, Roman (2021) From decision to action: Detailed modelling of frog tadpoles reveals neuronal mechanisms of decision-making and reproduces unpredictable swimming movements in response to sensory signals. PLoS Computational Biology, . ISSN 1553-734X. E-ISSN 1553-7358. (doi:10.1371/journal.pcbi.1009654) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:91904)

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Ghasemi, Jamal and Ghaderi, Reza and Karami Mollaei, Mohamed Reza and Hojjatoleslami, Ali (2011) Separation of Brain Tissues in MRI based on Multi-Dimensional FCM and Spatial Information. In: 2011 Eighth International Conference on Fuzzy Systems and Knowledge Discovery (FSKD). IEEE, 247 -251. ISBN 978-1-61284-180-9. E-ISBN 978-1-61284-181-6. (doi:10.1109/FSKD.2011.6019589) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:27766)

Greenhow, Keith and Johnson, Colin G. (2014) Region Based Image Preprocessor for Feed-Forward Perceptron Based Systems. In: Zeng, Zhigang and Li, Yangmin and King, Irwin, eds. Advances in Neural Networks – ISNN 2014 11th International Symposium on Neural Networks. Lecture Notes in Computer Science . Springer, Cham, Switzerland, pp. 414-422. ISBN 978-3-319-12435-3. E-ISBN 978-3-319-12436-0. (doi:10.1007/978-3-319-12436-0_46) (Access to this publication is currently restricted. You may be able to access a copy if URLs are provided) (KAR id:51436)

Greenhow, Keith, Johnson, Colin G. (2015) Regioned Downsample for ANN Image Classification: Alternate Selection Methods. In: 2015 SAI Intelligent Systems Conference (IntelliSys). . pp. 793-797. IEEE, Red Hood, NY, USA ISBN 978-1-4673-7607-5. (doi:10.1109/IntelliSys.2015.7361231) (KAR id:70994)

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Harris, Lee, Grzes, Marek (2019) Comparing Explanations between Random Forests and Artificial Neural Networks. In: Proceedings of the 2019 IEEE International Conference on Systems, Man, and Cybernetics (IEEE SMC). . IEEE (doi:10.1109/SMC.2019.8914321) (KAR id:75472)

Hojjatoleslami, Ali, Kittler, Josef (1996) Detection of clusters of microcalcifications using a K-nearest neighbour classifier. Digital Mammography, IEE Colloquium on, (10/1). (doi:10.1049/ic:19960493) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:27758)

Howells, Gareth and Fairhurst, Michael and Bisset, D.L. (1995) GCN: The Generalised Convergent Network. In: Fifth International Conference on Image Processing and its Applications, 1995. International Conference on Image Processing and its Applications . IEEE. ISBN 0-85296-642-3. (doi:10.1049/cp:19950735) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:59319)

Howells, Gareth, Rahman, Ahmad Fuad Rezaur, Fairhurst, Michael, Bisset, D.L. (1997) Clifford Networks: Novel Neural Architectures for Multi-Dimensional Data. In: Sixth IEE International Conference on Image Processing and its Applications (IPA), Jul 1997, Dublin, Ireland. (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:59317)

Howells, Gareth, Sirlantzis, Konstantinos (2009) A Framework for the Merger and Practical Exploitation of Formal Logic and Artificial Neural Networks. In: Ao, Sio Long and Gelman, Leonid and Hukins, David W.L. and Hunter, Andrew and Korsunsky, A.M., eds. World Congress on Engineering 2009. Lecture Notes in Engineering and Computer Science , 1 and. pp. 19-24. International Association for Engineers ISBN 978-988-17012-5-1. (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:23137)

Howells, Gareth, Sirlantzis, Konstantinos (2008) Improving Robotic System Robustness via a Generalised Formal Artificial Neural System. In: 2008 ECSIS Symposium on Learning and Adaptive Behaviour in Robotic Systems (LAB-RS 2008), Edinburgh, UK. . pp. 23-28. IEEE Computer Society (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:15487)

Howells, Gareth and Sirlantzis, Konstantinos (2010) A Proposal for Integrating Formal Logic and Artificial Neural Systems: A Practical Exploration. In: Ao, S.-I and Gelman, L., eds. Electronic Engineering and Computing Technology. Lecture Notes in Electrical Engineering, 60 . Springer, Netherlands, pp. 297-308. ISBN 978-90-481-8775-1. (doi:http://doi.dx.org/10.1007/978-90-481-8776-8_26) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:26239)

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Javarone, Marco A., Marinazzo, Daniele (2018) Dilution of Ferromagnets via a Random Graph-Based Strategy. Complexity, 2018 . Article ID 2845031. ISSN 1076-2787. (doi:10.1155/2018/2845031) (KAR id:66766)

Johnson, Colin G. (2019) Solving the Rubik’s Cube with Learned Guidance Functions. In: Proceedings of the 2018 IEEE Symposium Series on Computational Intelligence. . pp. 2082-2089. ISBN 978-1-5386-9277-6. E-ISBN 978-1-5386-9276-9. (doi:10.1109/SSCI.2018.8628626) (KAR id:69595)

Johnson, Colin G. (2019) Stepwise Evolutionary Learning using Deep Learned Guidance Functions. In: Bramer, Max and Petridis, Miltos, eds. Lecture Notes in Artificial Intelligence. Artificial Intelligence XXXVI: 39th SGAI International Conference on Artificial Intelligence, AI 2019, Cambridge, UK, December 17–19, 2019, Proceedings. Lecture Notes in Computer Science , 11927. Springer ISBN 978-3-030-34884-7. (doi:10.1007/978-3-030-34885-4_4) (KAR id:78198)

Jones, Keenan, Altuncu, Enes, Franqueira, Virginia N. L., Wang, Yichao, Li, Shujun (2022) A Comprehensive Survey of Natural Language Generation Advances from the Perspective of Digital Deception. arXiv, . (Submitted) (doi:10.48550/arXiv.2208.05757) (KAR id:97944)

Jones, Keenan, Nurse, Jason R. C., Li, Shujun (2022) Are You Robert or RoBERTa? Deceiving Online Authorship Attribution Models Using Neural Text Generators. In: 16th International AAAI Conference on Web and Social Media (ICWSM-22), 6-9 June 2022, Atlanta, USA. (KAR id:93628)

Jordanous, Anna (2010) A-Fitness-Function-for-Creativity-in-Jazz-Improvisation-and-Beyond (Jordanous 2010) - code. github Java code. (KAR id:42882)

Jordanous, Anna (2010) A fitness function for creativity in jazz improvisation and beyond. In: International Conference on Computational Creativity, 2010, Lisbon, Portugal. (KAR id:42372)

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Kanjo, Eiman, Younis, Eman M.G., Ang, Chee Siang (2018) Deep Learning Analysis of Mobile Physiological, Environmental and Location Sensor Data for Emotion Detection. Information Fusion, 49 . pp. 46-56. ISSN 1566-2535. (doi:10.1016/j.inffus.2018.09.001) (KAR id:68930)

Kittler, Josef and Hojjatoleslami, Ali (1998) A weighted Combination of Classifiers Employing Shared and Distinct Representation. In: 1998 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. IEEE. ISBN 0-8186-8497-6. (doi:10.1109/CVPR.1998.698715) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:27749)

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Langroudi, George, Jordanous, Anna, Li, Ling (2020) Music Emotion Capture: Ethical issues around emotion-based music generation. In: Brain. Cognition. Emotion. Music., 20-21 May 2020, Canterbury, UK (online). (KAR id:81490)

Langroudi, George, Jordanous, Anna, Li, Ling (2018) Music Emotion Capture: sonifying emotions in EEG data. In: Emotion Modelling and Detection in Social Media and Online Interaction symposium at the AISB 2018 Convention, 4-6 April 2018, Liverpool, UK. (KAR id:66564)

Laszuk, Dawid, Cadenas, Jose O., Nasuto, Slawomir J. (2016) EMD performance comparison: single vs double floating points. International journal of signal processing systems, 4 (4). pp. 349-353. ISSN 2315-4535. (doi:10.18178/ijsps.4.4.349-353) (KAR id:57350)

Laszuk, Dawid, Cadenas, Jose O., Nasuto, Slawomir J. (2016) On the Phase Coupling of Two Components Mixing in Empirical Mode Decomposition. Advances in Data Science and Adaptive Analysis, 8 (1). Article Number 1650004. ISSN 2424-922X. E-ISSN 2424-9238. (doi:10.1142/S2424922X16500042) (KAR id:57663)

Li, Ling, Xia, Yili, Jelfs, Beth, Cao, Jianting, Mandic, Danilo P. (2012) Modelling of brain consciousness based on collaborative adaptive filters. Neurocomputing, 76 (1). pp. 36-43. ISSN 0925-2312. (doi:10.1016/j.neucom.2011.05.038) (KAR id:93737)

Liu, Wenbin and Sirlantzis, Konstantinos (2009) SSC Minimization Algorithms. In: Floudas, C. and Pardalos, P., eds. Encyclopaedia of Optimization (2nd ed.). Springer Verlag, pp. 3662-3665. ISBN 978-0-387-74758-3. (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:27497)

Liza, Farhana Ferdousi, Grzes, Marek (2018) Improving Language Modelling with Noise Contrastive Estimation. In: The Thirty-Second AAAI Conference on Artificial Intelligence. . pp. 5277-5284. AAAI Press, Palo Alto, California, USA ISBN 978-1-57735-800-8. (KAR id:65147)

Lorrentz, Pierre, Howells, Gareth, McDonald-Maier, Klaus D. (2008) An Analysis of Hardware Configurations for an Adaptive Weightless Neural Network. In: Ao, S.I. and Gelman, Len and Hukins, David W.L. and Hunter, Andrew and Korsunsky, A.M., eds. World Congress On Engineering 2008, VOLS I-II. Lecture Notes in Engineering and Computer Science , I-II. pp. 66-71. IAE, INT ASSOC ENGINEERS-IAENG, UNIT1, 1-F, 37-39 HUNG TO ROAD, KWUN TONG, HONG KONG, 00000, PEOPLES R CHINA ISBN 978-988-98671-9-5. (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:14765)

Lorrentz, Pierre and Howells, Gareth and McDonald-Maier, Klaus D. (2008) An FPGA Based Adaptive Weightless Neural Network Hardware. In: Keymeulen, Didier and Arslan, Tughrul and Seuss, Martin and Stoica, Adrian and Erdogan, Ahmet T. and Merodio, David, eds. 2008 NASA/ESA Conference on Adaptive Hardware and Systems. IEEE, pp. 220-227. ISBN 978-0-7695-3166-3. (doi:10.1109/AHS.2008.19) (KAR id:14766)

Lorrentz, Pierre, Howells, Gareth, McDonald-Maier, Klaus D. (2009) FPGA-Based Enhanced Probabilistic Convergent Weightless Network for Human Iris Recognition. In: Proc. 17th European Conference on Artificial Neutal Networks (ESANN 2009). . (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:24301)

Lorrentz, Pierre, Howells, Gareth, McDonald-Maier, Klaus D. (2009) A Fingerprint Identification System Using Adaptive FPGA - Based Enhanced Probabilistic Convergent Network. In: Fourth NASA/ESA Conference on Adaptive Hardware and Systems (AHS-2009), San Francisco, USA, August 2009. . (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:23142)

Lorrentz, Pierre, Howells, Gareth, McDonald-Maier, Klaus D. (2009) An Identification System for Fingerprints utilising Enhanced Probabilistic Convergent Network. In: Proc. Fourth NASA/ESA Conference on Adaptive Hardware and Systems (AHS-2009). . (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:24297)

Lorrentz, Pierre, Howells, Gareth, McDonald-Maier, Klaus D. (2010) Model Learning from Weights by the Adaptive Enhanced Probabilistic Convergent Network. In: Proc. 18th European Symposium on Artificial Neural Networks (ESANN). . (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:24225)

Lorrentz, Pierre, Howells, Gareth, McDonald-Maier, Klaus D. (2010) A Novel Weightless Artificial Neural Based Multi-Classifier for Complex Classifications. Neural Process Letters, 31 . pp. 25-44. (doi:10.1007/s11063-009-9125-1) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:24224)

Lorrentz, Pierre, Howells, Gareth, McDonald-Maier, Klaus D. (2011) An advanced combination strategy for multi-classifiers employed in large multi-class problem domains. Journal of Applied Soft Computing, 11 (2). pp. 2151-2163. ISSN 1568-4946. (doi:10.1016/j.asoc.2010.07.014) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:35688)

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McElroy, Ben, Howells, Gareth (2011) Automated Adaptation of Input and Output Data for a Weightless Artificial Neural Network. International Journal of Database Theory and Application, 4 (3). pp. 49-58. ISSN 2005-4270. (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:28353)

McElroy, Ben, Howells, Gareth (2010) Evaluating the Application of Simple Weightless Networks to Complex Patterns. In: Proc. International Conference on Emerging Security Technologies (EST 2010), Canterbury, UK. . (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:26245)

McElroy, Ben, Howells, Gareth (2011) Improved Adaptive Meta-Network Design Employing Genetic Algorithm Techniques. In: Proc. 8th International Conference on Informatics in Control, Automation and Robotics. . (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:28063)

McElroy, Ben, Howells, Gareth (2011) Neural Network Tuning using Genetic Algorithms for Robot Obstacle Avoidance. In: Proc. 14th IASTED International Conference on Artificial Intelligence and Soft Computing. . (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:28064)

Mohamed, Elhassan and Sirlantzis, Konstantinos and Howells, Gareth (2019) Application of Transfer Learning for Object Detection on Manually Collected Data. In: Intelligent Systems and Applications volume 1. Advances in Intelligent Systems and Computing book series, Intel . Springer, pp. 913-931. ISBN 978-3-030-29515-8. E-ISBN 978-3-030-29516-5. (doi:10.1007/978-3-030-29516-5_69) (Access to this publication is currently restricted. You may be able to access a copy if URLs are provided) (KAR id:74066)

Mohamed, Elhassan, Sirlantzis, Konstantinos, Howells, Gareth, Hoque, Sanaul (2022) Optimisation of Deep Learning Small-Object Detectors with Novel Explainable Verification. Sensors, 22 . pp. 1-23. E-ISSN 1424-8220. (doi:10.3390/s22155596) (KAR id:95957)

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Nguyen, Huy Le, Chu, Dominique (2022) Incremental Neural Synthesis for Spiking Neural Networks. In: 2022 IEEE Symposium Series On Computational Intelligence. . (In press) (Access to this publication is currently restricted. You may be able to access a copy if URLs are provided) (KAR id:97546)

Nguyen, Son T., Johnson, Colin G. (2013) Protein Secondary Structure Prediction using an Optimised Bayesian Classification Neural Network. In: Proceedings of the 5th International Joint Conference on Computational Intelligence - Volume 1: NCTA. . pp. 451-457. Science and Technology Publications, Setúbal, Portugal ISBN 978-989-8565-77-8. (doi:10.5220/0004538604510457) (KAR id:71007)

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Palaniappan, Ramaswamy and Andrews, Samraj and Sillitoe, Ian and Sihra, Tarsem and Paramesran, Raveendran (2015) Improving the Feature Stability and Classification Performance of Bimodal Brain and Heart Biometrics. In: Advances in Signal Processing and Intelligent Recognition Systems. Springer, pp. 176-185. ISBN 21945357. (doi:10.1007/978-3-319-28658-7_15) (KAR id:54539)

Pan, Shi, Hoque, Sanaul, Deravi, Farzin (2022) An Attention-Guided Framework for Explainable Biometric Presentation Attack Detection. Sensors, 22 (9). Article Number 3365. ISSN 1424-8220. (doi:10.3390/s22093365) (KAR id:94750)

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Rahman, Ahmad Fuad Rezaur, Howells, Gareth, Fairhurst, Michael (1999) Clifford Network: A Novel Application in Character Recognition. In: International Conference on Advances in Intelligent Data Analysis (AIDA), Jun 1999, Rochester, USA. (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:59314)

Raza, Ali, Tran, Kim Phuc, Koehl, Ludovic, Li, Shujun (2022) Designing ECG Monitoring Healthcare System with Federated Transfer Learning and Explainable AI. Knowledge-Based Systems, 236 . Article Number 107763. ISSN 0950-7051. (doi:10.1016/j.knosys.2021.107763) (KAR id:92005)

Rizzi Raymundo, C., Johnson, C. G., Vargas, P. A. (2015) An Architecture for Emotional and Context-Aware Associative Learning for Robot Companions. In: 2015 24th IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN). . pp. 31-36. IEEE (doi:10.1109/ROMAN.2015.7333699) (KAR id:56882)

Rizzi Raymundo, Caroline, Johnson, Colin G., Fabris, Fabio, Vargas, Patricia A. (2016) A Situation-Aware Fear Learning (SAFEL) Model for Robots. Neurocomputing, 221 . pp. 32-47. ISSN 0925-2312. (doi:10.1016/j.neucom.2016.09.035) (KAR id:58076)

Rizzi Raymundo, Caroline and Johnson, Colin Graeme (2014) An Artificial Synaptic Plasticity Mechanism for Classical Conditioning with Neural Networks. In: Zeng, Zhigang and Li, Yangmin and King, Irwin, eds. Advances in Neural Networks – ISNN 2014 11th International Symposium on Neural Networks. Lecture Notes in Computer Science . Springer, Cham, Switzerland, pp. 213-221. ISBN 978-3-319-12435-3. E-ISBN 978-3-319-12436-0. (doi:10.1007/978-3-319-12436-0_24) (KAR id:51428)

Rizzi, Caroline and Johnson, Colin G. and Vargas, Patricia (2018) Fear Learning for Flexible Decision Making in RoboCup: A Discussion. In: Akiyama, Hidehisa and Obst, Oliver and Sammut, Claude and Tonidandel, Flavio, eds. RoboCup 2017: Robot World Cup XXI. Lecture Notes in Artificial Intelligence, 11175 . Springer, Germany, pp. 59-70. ISBN 978-3-030-00307-4. E-ISBN 978-3-030-00308-1. (doi:10.1007/978-3-030-00308-1_5) (KAR id:69611)

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Sartain, P., Hopkins, Andrew B.T., McDonald-Maier, Klaus D., Howells, Gareth (2008) A Framework for Self-Diagnosis and Condition Monitoring of Embedded Hardware using a SOM-Based Classifier. In: Third NASA/ESA Conference on Adaptive Hardware and Systems (AHS-2008). . (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:13304)

Sawicki, Piotr, Grzes, Marek, Jordanous, Anna, Brown, Dan, Peeperkorn, Max (2022) Training GPT-2 to represent two Romantic-era authors: challenges, evaluations and pitfalls. In: 13th International Conference on Computational Creativity. . (In press) (KAR id:94992)

Sirlantzis, Konstantinos (1997) Beyond point prediction in time series forecasting: bounding uncertainty using artificial neural networks. In: 4th Balkan Conference on Operational Research. . p. 19. (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:53319)

Sirlantzis, Konstantinos (1998) Interval forecasting using artificial neural networks trained with Monte Carlo Markov Chain methods. In: 18th International Symposium on Forecasting. . p. 58. International Institute of Forecasters (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:53317)

Sirlantzis, Konstantinos (1998) Monte Carlo Markov Chain methods for multiple hypotheses fusion. In: The Royal Statistical Society International Conference. . p. 179. (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:53318)

Sirlantzis, Konstantinos (1997) Using artificial neural networks to monitor the influence of initial conditions in stochastic chaotic systems. In: 5th Panhellenic Conference on Non-linear Dynamics and Complexity. . (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:53320)

Sirlantzis, Konstantinos, Howells, Gareth, Gherman, B. (2009) Novel Modular Weightless Neural Architectures for Biometrics-Based Recognition. In: 17th European Symposium on Artificial Neural Networks (ESANN 2009), Bruges, Belgium, April 2009. . (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:23141)

Sirlantzis, Konstantinos and Howells, Gareth and Paschalakis, Stavros (1999) A functional neural network prototype for multidimensional data analysis. In: Seventh International Conference on Image Processing And Its Applications, 1999. IEEE, pp. 98-102. ISBN 0-85296-717-9. (doi:10.1049/cp:19990289) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:16623)

Sirlantzis, Konstantinos, Siriopoulos, Costas (1993) Randomness and Chaos in the Athens Stock Exchange Returns. In: Bulletin of the Greek Banks Association. 39-40. pp. 63-66. (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:53322)

Su, Li, Gomez, Rodolfo, Bowman, Howard (2014) Analysing neurobiological models using communicating automata. Formal Aspects of Computing, 26 (6). pp. 1169-1204. ISSN 0934-5043. (doi:10.1007/s00165-014-0294-y) (Access to this publication is currently restricted. You may be able to access a copy if URLs are provided) (KAR id:47880)

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Xu, Yang, Guo, Jie, Qiu, Weidong, Huang, Zheng, Altuncu, Enes, Li, Shujun (2022) “Comments Matter and The More The Better!”: Improving Rumor Detection with User Comments. In: TrustCom 2022 (21st IEEE International Conference on Trust, Security and Privacy in Computing and Communications), November 2022, Wuhan, China. (In press) (KAR id:97593)

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