Uz augšu

Mājaslapa

Publikācijas / Publications

[2016b] Zuters, J., Valeinis, J., Karnitis, G., Karnitis, E. Modelling of adequate costs of utilities services. Communications in Computer and Information Science, Proceedings of the 22nd International Conference, ICIST 2016, Druskininkai, Lithuania, October 13-15, 2016, pp 3-17

[2016a] Bobinaite, V., Zuters, J. Modelling Electricity Price Expectations in a Day-Ahead Market: A Case of Latvia. Economics and Business. Volume 29, Issue 1, Pages 12–26, ISSN (Online) 2256-0394, ISSN (Print) 1407-7337, DOI: 10.1515/eb-2016-0017, September 2016

[2015] Janis Zuters. Sequence Q-Learning: a Memory-Based Method Towards Solving POMDP. Proceedings of the 20th International Conference on Methods and Models in Automation and Robotics (MMAR 2015), Miedzyzdroje, Poland, August 24-27, 2015, pp. 495-500, ISBN 978-1-4799-8701-6

[2014] Janis Zuters. Naive Augmenting Q-Learning to Process Feature-Based Representations of States. Proceedings of The 22th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN 2014), Bruges, Belgium, April 23-26, 2014, pp. 117-122, ISBN 978-287419095-7

[2012b] Niedritis, A., Zuters, J., Niedrite, L. Document Performance measurement framework with indicator life-cycle support. CEUR Workshop Proceedings, Volume 924, 2012, Pages 115-127

[2012a] Janis Zuters. The Coupled-Weight Neural Reinforcement Algorithm. Proceeding of the 3rd International Conference on Mathematical Models for Engineering Science (MMES '12), Paris, France December 2-4, 2012. In: Recent Advances in Systems Science and Mathematical Modelling, WSEAS, 2012, pp. 234-239

[2011c] Janis Zuters. Near Real-time Data Warehousing with Multi-stage Trickle & Flip. Proceedings of the 10th International Conference on Perspectives in Business Information Research (BIR 2011), Riga, Latvia, October 2011. In: Lecture Notes in Business Information Processing, vol. 90 (LNBIP 90), Edited by J. Grabis and M. Kirikova, Springer-Verlag Berlin Heidelberg, 2011, pp. 73-82

[2011b] Janis Zuters. CN2-R: Faster CN2 with Randomly Generated Complexes. Proceedings of the 16th International Conference on Methods and Models in Automation and Robotics (MMAR 2011), Miedzyzdroje, Poland, August 22-25, 2011. In: CFP11MMA-CDR (IEEE), pp. 306-309

[2011a] Janis Zuters. Spiking Neural Networks to Detect Temporal Patterns. Frontiers in Artificial Intelligence and Applications, vol. 224, Databases and Information Systems VI - Selected Papers from the Eighth International Baltic Conference, DB&IS 2010, Edited by Janis Barzdins, Marite Kirikova, IOS Press, 2011, pp. 369-379

[2010b] Janis Zuters. The Role of Random Spikes and Concurrent Input Layers in Spiking Neural Networks. Proceedings of the 9th International Baltic Conference on Databases and Information Systems (Baltic DB&IS 2010), Riga, Latvia, July 5-7, 2010, pp. 229-242

[2010a] Janis Zuters. Realizing Undelayed N-Step TD Prediction with Neural Networks. Proceedings of the 15th IEEE Mediterranean Electrotechnical Conference (MELECON 2010), Valletta, Malta, April 26-28, 2010, pp. 102-106

[2009] Janis Zuters. Spiking Neural Networks to Detect Temporal Patterns. Frontiers in Artificial Intelligence and Applications, vol. 187, Databases and Information Systems V - Selected Papers from the Eighth International Baltic Conference (DB&IS 2008), Edited by Hele-Mai Haav, Ahto Kalja, 2009, pp. 131-142 (Extension of [2008])

[2008] Jānis Zuters. Learning With Adaptive Layer Activation in Spiking Neural Networks. Proceedings of the 8th International Baltic Conference on Databases and Information Systems (Baltic DB&IS 2008), Tallinn, Estonia, June 2-5, 2008, pp. 117-128

[2007] Jānis Zuters. Neural Networks to Enrich Fitness Function in a GA-based School Timetabling Model. WSEAS TRANSACTIONS on INFORMATION SCIENCE and APPLICATIONS, Issue 2, Volume 4, February 2007, ISSN 1790-0832, pp. 346-353 (Extension of [2006d])

[2006d] Jānis Zuters. Effect of Using Neural Networks in GA-Based School Timetabling. Proceedings of the 5th WSEAS Int. Conf. on Computational Intelligence, Man-Machine Systems and Cybernetics (CIMMACS 2006), Venice, Italy, November 20-22, 2006, pp. 117-122 

[2006c] Jānis Zuters. An Ensemble of Neural Networks as Part of a GA-based Model to Solve the School Timetabling Problem. Communications of the 7th International Baltic Conference on Databases and Information Systems (Baltic DB&IS 2006), Vilnius, Lithuania, July 3-6, 2006, pp. 175-182

[2006b] Jānis Zuters. A Supervised Learning Process Using Randomly Generated Training Patterns to Obtain an Evaluative Neural Network. WSEAS TRANSACTIONS on INFORMATION SCIENCE and APPLICATIONS, Issue 4, Volume 3, April 2006, ISSN 1790-0832, pp. 825-831 (Extension of [2006a])

[2006a] Jānis Zuters. Towards Multi-Layer Perceptron as an Evaluator Through Randomly Generated Training Patterns. Proceedings of the 5th WSEAS International Conference on Artificial Intelligence, Knowledge Engineering and Data Bases (AIKED 2006), Madrid, Spain, February 15-17, 2006, pp. 254-258

[2005b] Jānis Zuters. An Extension of Multi-Layer Perceptron Based on Layer-Topology. Proceedings of the 5th International Enformatika Conference’05. Prague, Czech Republic, August 26-28, 2005, pp. 178-181

[2005a] Jānis Zuters. An Adaptable Computational Model for Scheduling Training Sessions. Annual Proceedings of Vidzeme University College “ICTE in Regional Development” (presented at the 6th Conference on the Baltic Studies in Europe, June 17-19, 2005, Valmiera, Latvia), 2005, pp. 110-113