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Uros Lotric
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Journal Articles
- 2021
- [j10]Ratko Pilipovic, Vladimir Risojevic, Janko Bozic, Patricio Bulic, Uros Lotric:
An Approximate GEMM Unit for Energy-Efficient Object Detection. Sensors 21(12): 4195 (2021) - [j9]Ratko Pilipovic, Patricio Bulic, Uros Lotric:
A Two-Stage Operand Trimming Approximate Logarithmic Multiplier. IEEE Trans. Circuits Syst. I Regul. Pap. 68(6): 2535-2545 (2021) - 2017
- [j8]Uros Lotric, Patricio Bulic:
Logarithmic Arithmetic for Low-Power Adaptive Control Systems. Circuits Syst. Signal Process. 36(9): 3564-3584 (2017) - [j7]Davor Sluga, Uros Lotric:
Quadratic Mutual Information Feature Selection. Entropy 19(4): 157 (2017) - 2014
- [j6]Davor Sluga, Tomaz Curk, Blaz Zupan, Uros Lotric:
Heterogeneous computing architecture for fast detection of SNP-SNP interactions. BMC Bioinform. 15: 216 (2014) - 2013
- [j5]Matija Cankar, Matej Artac, Marjan Sterk, Uros Lotric, Bostjan Slivnik:
Co-Allocation with Collective Requests in Grid Systems. J. Univers. Comput. Sci. 19(3): 282-300 (2013) - 2012
- [j4]Uros Lotric, Patricio Bulic:
Applicability of approximate multipliers in hardware neural networks. Neurocomputing 96: 57-65 (2012) - 2010
- [j3]Catarina Silva, Uros Lotric, Bernardete Ribeiro, Andrej Dobnikar:
Distributed Text Classification With an Ensemble Kernel-Based Learning Approach. IEEE Trans. Syst. Man Cybern. Part C 40(3): 287-297 (2010) - 2005
- [j2]Uros Lotric, Andrej Dobnikar:
Predicting time series using neural networks with wavelet-based denoising layers. Neural Comput. Appl. 14(1): 11-17 (2005) - 2004
- [j1]Uros Lotric:
Wavelet based denoising integrated into multilayered perceptron. Neurocomputing 62: 179-196 (2004)
Conference and Workshop Papers
- 2013
- [c8]Davor Sluga, Uros Lotric:
Generalized Information-Theoretic Measures for Feature Selection. ICANNGA 2013: 189-197 - 2011
- [c7]Uros Lotric, Patricio Bulic:
Logarithmic Multiplier in Hardware Implementation of Neural Networks. ICANNGA (1) 2011: 158-168 - 2009
- [c6]Uros Lotric, Andrej Dobnikar:
Parallel Implementations of Recurrent Neural Network Learning. ICANNGA 2009: 99-108 - 2008
- [c5]Catarina Silva, Bernardete Ribeiro, Uros Lotric, Andrej Dobnikar:
Distributed Ensemble Learning in Text Classification. ICEIS (2) 2008: 420-423 - 2007
- [c4]Mira Trebar, Uros Lotric:
Predicting Mechanical Properties of Rubber Compounds with Neural Networks and Support Vector Machines. ICANNGA (2) 2007: 254-261 - 2005
- [c3]Catarina Silva, Bernardete Ribeiro, Uros Lotric:
Speeding-up text categorization in a grid computing environment. ICMLA 2005 - 2003
- [c2]Uros Lotric, Andrej Dobnikar:
Recurrent neural network with integrated wavelet based denoising unit. ICANNGA 2003: 38-42 - 1999
- [c1]Uros Lotric, Andrej Dobnikar:
Using Smoothing Splines in Time Series Prediction with Neural Networks. ICANNGA 1999: 121-126
Editorship
- 2011
- [e2]Andrej Dobnikar, Uros Lotric, Branko Ster:
Adaptive and Natural Computing Algorithms - 10th International Conference, ICANNGA 2011, Ljubljana, Slovenia, April 14-16, 2011, Proceedings, Part I. Lecture Notes in Computer Science 6593, Springer 2011, ISBN 978-3-642-20281-0 [contents] - [e1]Andrej Dobnikar, Uros Lotric, Branko Ster:
Adaptive and Natural Computing Algorithms - 10th International Conference, ICANNGA 2011, Ljubljana, Slovenia, April 14-16, 2011, Proceedings, Part II. Lecture Notes in Computer Science 6594, Springer 2011, ISBN 978-3-642-20266-7 [contents]
Coauthor Index
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