Menu

.Publikacijos_MT

Prof. dr. Minijos Tamošiūnaitės

PAGRINDINIŲ MOKSLINIŲ PUBLIKACIJŲ
S Ą R A Š A S

1. Wörgötter, F., Geib, Ch., Tamošiūnaitė, M., Aksoy, E., Piater, J., Xiong, H., Ude, A., Nemec, B., Kraft, D., Krüger, N., Wächter, M., Asfour, T. 2015. ‘Structural bootstrapping – A novel, generative mechanism for faster and more efficient acquisition of action knowledge’, IEEE Transactions on Autonomous Mental Development, Vol 7, No 2, p. 140-154 .
2. Aksoy, E., Tamosiunaite, M., Wörgötter, F. 2015. ‘Model-Free Incremental Learning of the Semantics of Manipulation Actions’, Robotics and Autonomous Systems, Vol 71, p. 118-133.
3. Wörgötter, F., Aksoy, E., Krüger, N., Piater, J., Ude, A., Tamošiūnaitė, M. 2013. ‘A simple ontology of manipulation actions based on hand-object relations’, IEEE transactions on autonomous mental development,Vol. 5, No. 2, p. 117-134.
4. Kulvičius, T., Biehl, M., Aein, M., Tamošiūnaitė, M., Wörgötter, F. 2013. ‘Interaction learning for dynamic movement primitives used in cooperative robotic tasks’, Robotics and autonomous systems,. Vol. 61, Iss. 12, p. 1450-1459.
5. Ning, K., Kulvičius, T., Tamošiūnaitė, M., Wörgötter, F. 2012. ‘A novel trajectory generation method for robot control’,  Journal of intelligent & robotic systems,Vol. 68, Iss. 2, p. 165-184.
6. Demčenko, A., Tamošiūnaitė, M., Vidugirienė, A., Jakevičius, L. 2012. ‘Estimation of lane marker parameters with high correlation to steering signal’, IEEE transactions on intelligent transportation systems, Vol. 13, No. 2, p. 962-967.
7. Ainge, J., Tamošiūnaitė, M., Wörgötter, F., Dudchenko, P. 2012. ‘Hippocampal place cells encode intended destination, and not a discriminative stimulus, in a conditional T-Maze task’, Vol. 22, Iss. 3, p. 534-543.
8. Kulvičius, T., Ning, K., Tamošiūnaitė, M., Wörgötter, F. 2012. ‘Joining movement sequences : modified dynamic movement primitives for robotics applications exemplified on handwriting’, IEEE transactions on robotics : a publication of the IEEE Robotics and Automation Society, Vol. 28, No. 1, p. 145-157.
9. Tamošiunaite, M., Nemec, B., Ude, A., Wörgötter, F. 2011. ‘Learning to pour with a robot arm combining goal and shape learning for dynamic movement primitives’,Robotics and autonomous systems, Vol. 59, Iss. 11, p. 910-922.
10. Aksoy, E., Dellen, B., Tamošiunaite, M, Wörgötter, F. 2011. ‘Execution of a dual-object (pushing) action with semantic event chains’, IEEE-RAS : 11th international conference on Humanoid robots, Bled, Slovenia, October 26-28, 2011, p. 576-583.
11. Kulvicius, T., Ning, K., Tamošiunaite, M., Wörgötter, F. 2011. ‘Modified dynamic movement primitives for joining movement sequences’, IEEE international conference on Robotics and automation, Shanghai international conference center May 9-13, 2011, Shanghai, China, p. 2275-2280.
12. Markelic, I., Kjer-Nielsen, A., Pauwels, K., Baunegaard, L., Chumerin, N., Vidugiriene, A., Tamošiunaite, M., Rotter, A., Hulle, M., Krüger, N., Wörgötter, F. 2011. ‘The Driving school system: learning basic driving skills from a teacher in a real car’, IEEE transactions on intelligent transportation systems, vol. 12, no. 4,p. 1135-1146.
13. Ning, K., Kulvicius, T., Tamošiunaite, M., Wörgötter, F. 2011. ‘Accurate position and velocity control for trajectories based on dynamic movement primitives’, ICRA 2011 : IEEE international conference on Robotics and automation, Shanghai international conference center May 9-13, 2011, Shanghai, China, p. 5006-5011.
14. Tamošiunaite, M., Markelic, I., Kulvicius, T., Wörgötter, F. 2011. ‘Generalizing objects by analyzing language’, IEEE-RAS : 11th international conference on Humanoid robots, Bled, Slovenia, October 26-28, 2011, p. 557-563.
15. Kulvicius, T., Kolodziejski, Ch., Tamošiunaite, M., Porr, B., Wörgötter, F. 2010. ‘Behavioral analysis of differential hebbian learning in closed-loop systems’, Biological Cybernetics, Vol. 103, no. 4, p. 255-271.
16. Tamošiūnaitė, M., Asfour, T., Wörgötter, F. 2009. ‘Learning to reach by reinforcement learning using a receptive field based function approximation approach with continuous actions’, Biological Cybernetics, vol. 100, no. 3, pp. 249-260.
17. Kolodziejski, Ch., Porr, B., Tamosiunaite, M. Woergoetter, F. 2009. ‘On the asymptotic equivalence between differential Hebbian and temporal difference learning using a local third factor’. Advances in Neural Information Processing Systems 21. eds. Koller D., Schuurmans D, Bengio Y. and Bottou L., pp. 857-864.
18. Nemec, B., Tamosiunaite, M., Woergoetter, F., Ude, A. 2009. ‘Task adaptation through exploration and action sequencing’, Proceedings of 9th IEEE-RAS International Conference on Humanoid Robots Humanoids2009, pp. 610-616.
19. Vidugirienė A., Demčenko, A., Tamošiūnaitė, M. 2009. ‘Steering angle prediction using neural networks and look-up table for different drivers’, Proceedings of SPIE – The International Society for Optical Engineering [elektroninis išteklius] : Photonics applications in Astronomy, Communications, Industry, and High-Energy Physics Experimen pp. 1-6.
20. Tamošiūnaitė, M., Ainge, J., Kulvicius, T., Bernd, P., Dudchenko, P. and Wörgötter, F. 2008. ‘Path-finding in real and simulated rats: On the usefulness of forgetting and frustration for navigation learning’. J Comp Neurosci, vol. 25, no. 3, pp. 562-582
21. Kulvicius, T., Tamošiūnaitė, M., Ainge, J., Dudchenko, P. and Wörgötter, F. 2008. ‘Odor supported place cell model and goal navigation in rodents’. J Comp Neurosci, Vol. 25, no. 3, pp. 481-500
22. Urbonavičienė, G., Urbonavičius, S., Vorum, H., Blužaitė, I., Jaruševičius, G., Honore, B., Tamošiūnaitė, M. 2008. ‘Evaluation of Prognostic Clinical and ECG Parameters in Patients after Myocardial Infarction by Applying Logistic Regression Method’. Pacing and clinical electrophysiology (PACE), vol. 31, Iss. 11, pp. 1391-1398.
23. Venclovienė, J., Tamošiūnaitė, M., Urbonavičienė, G., Kaminskienė, S., Bertašienė, Z., Unikas, R., Blužaitė, I. 2008. ‘A Risk Score for Estimating Coronary Artery Disease in Different-age Patients’. Elektronika ir elektrotechnika (= Electronics and Electrical Engineering), nr. 4(84), pp. 67-70.
24. Demčenko, A., Tamošiūnaitė, M., Vidugirienė, A., Saudargienė, A. 2008. ‘Vehicle’s Steering Signal Predictions Using Neural Networks’, 2008 IEEE Intelligent Vehicles Symposium, 2008, Eindhoven, Netherlands, June 4-6, 2008, New York, USA, p. 338-343.
25. Markelic, I., Kulvicius, T., Tamosiunaite, M. Wörgötter, F. 2008. ‘Anticipatory Driving for a Robot-Car Based on Supervised Learning’. Proceedings of ABiALS 2008, pp. 267-282
26. Vidugirienė, A., Demčenko, A., Tamošiūnaitė, M. 2008. ‘Extraction and investigation of lane marker parameters for steering signal prediction‘, Proceedings of the 12th international conference, Transport Means, October 23-24, Kaunas, 2008, p.142-146.
27. Tamošiūnaitė, M., Porr, B., Wörgötter, F. 2007. ‘Self-influencing synaptic plasticity: Recurrent changes of synaptic weights can lead to specific functional properties’. Journal of Computational Neuroscience, vol. 23, no. 1, August 2007 , pp. 113-127
28. Tamošiūnaitė, M., Porr, B., Wörgötter, F. 2007. ‘Developing velocity sensitivity in a model neuron by local synaptic plasticity’, Biological Cybernetics, vol. 96, no. 5,  pp. 507-518.
29. Ainge, J.A. , Tamošiūnaitė, M, Wörgötter, F, Dudchenko, P.A. 2007. ‘ Hippocampal CA1 place cells encode intended destination on a maze with multiple choice points’, Journal of Neuroscience, vol. 27, no. 36, pp. 9769-9779.
30. Vidugirienė, A., Tamošiūnaitė, M. 2007. ‘Parameter Analysis for Steering Angle Prediction Using Neural Networks‘, Proceedings of the 11th international conference, Transport Means, October 18th, Kaunas, 2007, p.111-113.
31. Tamošiūnaitė, M, Porr, B, Wörgötter, F. 2006. ‘Temporally changing synaptic plasticity’, In. Y. Weiss and B. Schoelkopf and J. Platt Eds., Advances in Neural Information Processing Systems, vol. 18, MIT Press, Cambridge, MA, p. 1337-1344.
32. Urbonavičienė, G., Gargasas, L., Aržanauskiene, R., Bertašiene, Z., Tamošiūnaitė, M., Blužaitė, I.  2006. ‘Suvidurkintos signalo EKG, širdies ritmo variabilumo, QT intervalo ir T kilpos parametrų įvertinimas, prognozuojant mirštamumą dviejų metų po miokardo infarkto laikotarpiu’, Elektronika ir elektrotechnika, vol. 70, no. 6, pp. 32-43.
33. Kulvičius, T, Tamošiūnaitė, M., Vaišnys, R. 2005. ‘T Wave Alternans Features for Automated Detection’, Informatica, vol. 16, no. 4, pp. 587-602.
34. Tamošiūnaitė, M., Urbonavičienė, G., Vainoras, A., Gargasas, L., Kaminskienė, S., Blužaitė, I., Rickli, H. 2005. ‘Influence of Deep Breathing on Heart Rate Variability in Patients with Ischemic Heart Disease’, Elektronika ir elektrotechnika, vol. 59, 2005, pp. 33-37.
35. Radziukynienė I., Šurkutė A., Kazlauskienė A., Tamošiūnaitė M. 2005. ‘Analysis of Lithuanian Speech Sound Lengths and Pitch for Prosody Generation’. Proceedings of The Second Baltic Conference on Human Language Technologies, K.Langemets, P. Penjam eds. April 4-5, 2005, Tallinn, Estonia, 2005, pp. 323-328.
36. Blužas, J, Bastys, A., Gargasas, L., Tamošiūnaitė, M., Kaminskienė, S., Маtiukas, A., Urbonavčienė, G., Jurkonis, V., Vaišnys, R. 2004, ‘Kardiosignalų automatinė analizė ischeminei širdies likai diagnozuoti’ (Rusiškai), Kardiologiia, vol. 44, no 2, pp. 8-10.
37. Kaminskienė, S., Urbonavičienė, G., Barauskienė, G., Tamošiūnaitė, M., Blužaitė, I. 2004, ‘Consequence of T Loop Morphology Change for Patients with Coronary Artery Stenosis’, Elektronika ir elektrotechnika, vol. 52, no. 3, pp. 56-58.
38. Tamošiūnaitė, M., Raudys, Š. 2003, ‘A Neural Network Based Investigation of High Frequency Components of the ECG’, in Neural Networks and Soft Computing, eds. L.Rutkovski, J.Kacprzyk, Physica-Verlag, pp. 492-497.
39. Jakaitienė, A., Tamošiūnaitė, M. 2003, ‘Lithuanian Economic Growth Parameters Prediction Using Neural Networks’ (in Lithuanian), Lithuanian Mathematical Journal, vol. 43, pp. 635-639.
40. Tamošiūnaitė, M., Ardaravičiūtė, R., Pukaitė, A., Vaišnys, R., Blužaitė, I. 2003, ‘Applicability of Linear Methods for Electrocardiogram-Based Modeling’, Elektronika ir elektrotechnika, vol. 45, no. 3, 2003, p. 7-11.
41.  Tamošiūnaitė, M., Kučinskas, D., Urbonavičienė, G. & Blužaitė, I. 2002, ‘Vector¬cardiographic Analysis: Investigation of T Loop Morphology for Risk Stratification after Myocardial Infarction’, Elektronika ir elektrotechnika, vol. 37, no. 2, pp. 23-25.
42. Matiukas, A., Kaminskienė, S., Jurkonis, V., Gargasas, L., Blužas, J., Kornej., J., Vaišnys, R. & Tamošiūnaitė, M. 2002, ‘Comparison of Coronary Angiographic and ECG Diagnostic Methods for Ischemic Heart Disease Patients’, Elektronika ir elektrotechnika, vol. 38, no. 3, pp 15-17.
43. Tamošiūnaitė, M., Vaišnys, R., Kulvičius, T., Urbonavičienė, G., Kaminskienė, S. & Blužaitė, I. 2002, ‘Search for T Wave Alternans by Multiplicative Factor Method’ in Analysis of Biomedical Signals and Images: Proceedings of 16-th International EURASIP Conference Biosignal, 26-28 June 2002, Brno, Czech Republic, pp. 103-105.
44. Gelmanas, G, Kaminskienė, S., Jurkonis, V., Gargasas, L., Blužas, J., Blužaitė, I., Matiukas, A. & Tamošiūnaitė, M. 2001, ‘Biophysical Analysis as a Noninvasive Method of Blood Circulation Estimation in Coronary Arteries’, Electronics and Electrical Engineering, vol. 32, no. 3, pp. 83-86.
45. Tamošiūnaitė, M & Pranckevičienė, E. 2001, ‘Application of the Biologically Inspired Network for Electroence¬phalogram Analysis’, in Computational Intelligence: Theory and Applications, ed B.Reusch, LNCS 2206, Springer, Berlin, pp. 18-27.
46.  Bastys, A., Blužas, J., Matiukas, A., Povilonis, E., Tamošiūnaitė, M., Urbonavičienė, G. & Vaišnys, R. 2001, ‘Sudden Death Prediction Based on Heart Rate Variability and Electrical Cardiac Axis Position’, Lithuanian Journal of Cardiology, vol. 7, no. 2, pp. 10-17.
47. Urbonavičienė, G., Tamošiūnaitė, M., Jogminas, D., Blužaitė, I., Plisienė, J., Kaminskienė, S. & Leonavičiūtė, A. 2001, ‘T Wave Variability: Methods for Detection’ (in Lithuanian), Seminars in Cardiology, vol. 7, no. 4., pp. 68-70.
48. Bastys, A.,  Blužaitė, I., Blužas, J., Kaminskienė, S., Matiukas, A., Tamošiūnaitė, M., Urbonavičienė, G. & Vaišnys, R. 2001, ‘Computerized Approach for Revealing Coronary Artery Stenosis’ in Heart Disease: New Trends in Research, Diagnosis and Treatment, ed A.Kimchi, Medimond, Englewood, pp. 375-379.
49. Tamošiūnaitė, M. & Pranckevičienė, E. 2001, ‘Automatic Electroencephalogram Analysis Using the Biologically Inspired Architecture of Neural Networks’ in Neural Networks and Expert Systems in Medicine and Healthcare: Proceedings of the 4th International Conference on Neural Networks and Expert Systems in Medicine and Healthcare NNESMED, 20-22 June 2001, Milos Island, Greece, pp. 443-446.
50.  Tamošiūnaitė M. & Raudys, Š. 2001, ‘A Neural Network Based on ECG ST Segment Prediction Accuracy for Classification of Ventricular Fibrillation’ in Neural Networks and Artificial Intelligence: Proceedings of the 2nd International Conference on Neural Networks and Artificial Intelligence, October 2-5 2001, Minsk, Belarus, pp. 100-103.
51. Tamošiūnaitė, M., Vaišnys, R., Jogminas, D., Kulvičius, T., Urbonavičienė, G., Plisienė, J. & Blužas, J. 2001, ‘Problems of T Wave Alternans Detection in Rest ECG’ in Biomedical Engineering: Proceedings of the International Conference on Biomedical Engineering, 18-19 October, 2001 Kaunas, Lithuania, pp. 11-14.
52. Bastys, A., Blužas, J., Kaminskienė, S., Matiukas, A., Tamošiūnaitė, M., Urbonavičienė, G. & Vaišnys, R. 2001, ‘SVD in ECG-Based Detection of Coronary Artery Stenosis in ECG’ (in Lithuanian), in Biomedical Engineering: Proceedings of the International Conference on Biomedical Engineering, 18-19 October, 2001 Kaunas, Lithuania, pp. 15-18.
53. Pranckevičienė, E. & Tamošiūnaitė, M. 2001, ‘A Method of Inferring Hierarchical Structure of Data by Clustering’  in Biomedical Engineering: Proceedings of the International Conference on Biomedical Engineering, 18-19 October, 2001 Kaunas, Lithuania, pp. 36-39.
54. Raudys, Š. & Tamošiūnaitė, M. 2000, ‘Biologically Inspired Architecture of Feedforward Networks for Signal Classification’ in Advances in Pattern Recognition, eds F.J.Ferri, J.M.Inesta, A.Amin & P.Pudil, LNCS 1876, Springer, Berlin, pp. 727-736.
55. Blužas, J., Gargasas, L., Vainoras A., Korsakas, S., Kirmonas, A., Ruseckas, R., Miškinis, V., Blužaitė, I., Urbonavičienė, G., Vaišnys, R., Tamošiūnaitė, M., Šimkevičius, J, Bastys, A., Meškauskas, T. & Matiukas, A. 2000, ‘Medicine in Electronics: Hearts and Integrated Circuits’, Electronics and Electrical Engineering, vol. 25, no. 2, pp. 54-62.
56. Urbonavičienė, G., Blužaitė, I., Blužas, J., Kaminskienė, S., Matiukas, A., Tamošiūnaitė, M. & Vaišnys, R. 2000, ‘Ventricular Late Potential Parameters after Myocardial Infarction’, Seminars in Cardiology, vol. 6, no. 3, pp. 45-47.
57. Meškauskas, T, Vaišnys, R., Matiukas, A., Tamošiūnaitė, M., Blužaitė, I., Urbonavičienė G.  & Blužas, J. 2000, ‘Spectral Slope Analysis for Sudden Death Prediction’, Lithuanian Journal of Cardiology, vol. 7, no.1, pp. 42-50.
58. Urbonavičienė, G., Blužaitė, I., Blužas, J., Jurelevičienė, G., Kaminskienė, S., Matiukas, A.,  Ruseckas, R., Širvytė, R., Tamošiūnaitė, M, & Pavilionis, E. 2000, ‘Parameters of Late Potentials and Heart Rate Variability after Myocardial Infarction in the Case of Various Number of Arteries with Aterosclerotic Lesions’, Lithuanian Journal of Cardiology, vol. 7, no. 3, pp. 74-77.
59. E.Pranckevičienė & M.Tamošiūnaitė. 2000, ‘Improvement of Classification of EEG Segments by a Voting-Based Procedure’ in Biomedical Engineering: Proceedings of the International Conference on Biomedical Engineering, 19-20 October, 2000 Kaunas, Lithuania, pp. 91-95.
60. Matiukas, A., Urbonavičienė, G., Kaminskienė, S., Blužas, J., Meškauskas, T., Pavilonis, E., Tamošiūnaitė, M. & Vaišnys, R. 2000, ‘New Approaches for ECG Analysis and Their Ability to Predict Risk of Sudden Cardiac Death’ in Analysis of Biomedical Signals and Images: Proceedings of 15-th International EURASIP Conference Biosignal, 23-25 June 2000, Brno, Czech Republic, pp. 156-158.
61. Blužas, J., Blužaitė, I., Matiukas, A., Meškauskas, T., Skučas, M., Tamošiūnaitė, M Urbonavičienė, G & Vaišnys, R. 1999, ‘Sudden Death from Ischemic Heart Disease: Seeking for Mathematics-Based Solutions’ (in Lithuanian), Lithuanian Journal of Cardiology, vol. 6, no. 1, pp. 157-160.