A strategy for short-term load forecasting by support vector regression machines E Ceperic, V Ceperic, A Baric
IEEE Transactions on Power Systems 28 (4), 4356-4364, 2013
535 2013 Integration of neural network-based symbolic regression in deep learning for scientific discovery S Kim, PY Lu, S Mukherjee, M Gilbert, L Jing, V Čeperić, M Soljačić
IEEE transactions on neural networks and learning systems 32 (9), 4166-4177, 2020
207 2020 Heuristic recurrent algorithms for photonic Ising machines C Roques-Carmes, Y Shen, C Zanoci, M Prabhu, F Atieh, L Jing, ...
Nature communications 11 (1), 249, 2020
124 2020 Accelerating recurrent Ising machines in photonic integrated circuits M Prabhu, C Roques-Carmes, Y Shen, N Harris, L Jing, J Carolan, ...
Optica 7 (5), 551-558, 2020
121 2020 On-chip optical convolutional neural networks H Bagherian, S Skirlo, Y Shen, H Meng, V Ceperic, M Soljacic
arXiv preprint arXiv:1808.03303, 2018
105 2018 Predictive and generative machine learning models for photonic crystals T Christensen, C Loh, S Picek, D Jakobović, L Jing, S Fisher, V Ceperic, ...
Nanophotonics 9 (13), 4183-4192, 2020
98 2020 Short-term forecasting of natural gas prices using machine learning and feature selection algorithms E Čeperić, S Žiković, V Čeperić
Energy 140, 893-900, 2017
92 2017 Modeling of analog circuits by using support vector regression machines V Ceperic, A Baric
Proceedings of the 2004 11th IEEE International Conference on Electronics …, 2004
39 2004 A symbolic regression-based modelling strategy of AC/DC rectifiers for RFID applications V Ceperic, N Bako, A Baric
Expert Systems with Applications 41 (16), 7061-7067, 2014
35 2014 Design and optimization of self-biased complementary folded cascode V Ceperic, Z Butkovic, A Baric
MELECON 2006-2006 IEEE Mediterranean Electrotechnical Conference, 145-148, 2006
32 2006 Recurrent sparse support vector regression machines trained by active learning in the time-domain V Ceperic, G Gielen, A Baric
Expert systems with applications 39 (12), 10933-10942, 2012
23 2012 Echo state networks for black-box modeling of integrated circuits M Magerl, V Ceperic, A Baric
IEEE transactions on computer-aided design of integrated circuits and …, 2015
22 2015 Photonic recurrent Ising sampler C Roques-Carmes, Y Shen, C Zanoci, M Prabhu, F Atieh, L Jing, ...
CLEO: QELS_Fundamental Science, FTu4C. 2, 2019
16 2019 Area-efficient differential Gaussian circuit for dedicated hardware implementations of Gaussian function based machine learning algorithms D Vrtaric, V Ceperic, A Baric
Neurocomputing 118, 329-333, 2013
15 2013 Sparse multikernel support vector regression machines trained by active learning V Ceperic, G Gielen, A Baric
Expert systems with applications 39 (12), 11029-11035, 2012
15 2012 Modelling of electromagnetic immunity of integrated circuits by artificial neural networks V Ceperic, A Baric
2009 20th International Zurich Symposium on Electromagnetic Compatibility …, 2009
15 2009 Reducing complexity of echo state networks with sparse linear regression algorithms V Ceperic, A Baric
2014 UKSim-AMSS 16th International Conference on Computer Modelling and …, 2014
14 2014 Sparse V Ceperic, G Gielen, A Baric
Soft computing 18 (6), 1113-1126, 2014
13 2014 A recurrent ising machine in a photonic integrated circuit M Prabhu, C Roques-Carmes, Y Shen, N Harris, L Jing, J Carolan, ...
arXiv preprint arXiv:1909.13877, 2019
9 2019 Black-box modelling of conducted electromagnetic immunity by support vector machines V Ceperic, G Gielen, A Baric
International Symposium on Electromagnetic Compatibility-EMC EUROPE, 1-6, 2012
7 2012 
Adrijan BaricUniversity of Zagreb Faculty of Electrical Engineering and ComputingE-mail megerősítve itt: fer.unizg.hr
