Decebal Constantin Mocanu

Cited by

	All	Since 2016
Citations	1403	1273
h-index	19	18
i10-index	30	27

320

160

240

2014201520162017201820192020202126 95 91 130 200 238 311 294

Public access

View all

12 articles

1 article

available

not available

Based on funding mandates

Co-authors

Antonio LiottaProfessor at Faculty of Computer Science, University of Bozen-Bolzano, ItalyVerified email at unibz.it
Elena MocanuAssistant Professor, University of TwenteVerified email at utwente.nl
Maria Torres VegaPostdoctoral researcher, Ghent UniversityVerified email at ugent.be
Madeleine GibescuProfessor of Intermittent Renewable Energy, Utrecht UniversityVerified email at uu.nl
Mykola PechenizkiyEindhoven University of TechnologyVerified email at tue.nl
Phuong H. NguyenEindhoven University of TechnologyVerified email at tue.nl
Haitham Bou-AmmarReinforcement Learning Team Leader @ Huawei London & H. Assistant Professor @ UCLVerified email at huawei.com
Georgios ExarchakosElectrical Engineering, Eindhoven University of TechnologyVerified email at tue.nl
Peter StoneProfessor of Computer Science, The University of Texas at AustinVerified email at cs.utexas.edu
Shiwei LiuPh.D. of Department of Mathematics and Computer Science, Eindhoven University of TechnologyVerified email at tue.nl
Karl TuylsResearch Scientist, Google DeepMind and Professor of computer science, University of LiverpoolVerified email at google.com
Gerhard WeissProfessor of Computer Science and Artificial Intelligence, Maastricht UniversityVerified email at maastrichtuniversity.nl
Kurt DriessensAssociate Professor, Maastricht UniversityVerified email at maastrichtuniversity.nl
Eric EatonUniversity of PennsylvaniaVerified email at cis.upenn.edu
Ghada SokarPhD candidate, Eindhoven University of TechnologyVerified email at tue.nl
Anil YamanPostdoctoral Researcher, Korea Advanced Institute of Science and TechnologyVerified email at kaist.ac.kr
Giancarlo FortinoFull Professor of Computer Engineering, Università della Calabria. Highly Cited Researcher 2020Verified email at unical.it
Michael E. WebberENGIE and The University of Texas at AustinVerified email at mail.utexas.edu
J.G. Slootweghoogleraar Smart Grids, Technische Universiteit EindhovenVerified email at tue.nl
Matthew E. TaylorAssociate Professor, University of AlbertaVerified email at ualberta.ca

Decebal Constantin Mocanu

Assistant Professor at University of Twente, Eindhoven University of Technology

Verified email at utwente.nl - Homepage

artificial intelligence sparse neural networks scalable deep learning continual learning evolutionary computing


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
On-line building energy optimization using deep reinforcement learning E Mocanu, DC Mocanu, PH Nguyen, A Liotta, ME Webber, M Gibescu, ... IEEE transactions on smart grid 10 (4), 3698-3708, 2018	240	2018
Scalable training of artificial neural networks with adaptive sparse connectivity inspired by network science DC Mocanu, E Mocanu, P Stone, PH Nguyen, M Gibescu, A Liotta Nature communications (19 June 2018) 9 (1), 1-12, 2017	200	2017
An automated measure of mdp similarity for transfer in reinforcement learning HB Ammar, E Eaton, ME Taylor, DC Mocanu, K Driessens, G Weiss, ... Workshops at the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014	66	2014
A topological insight into restricted Boltzmann machines DC Mocanu, E Mocanu, PH Nguyen, M Gibescu, A Liotta Machine Learning 104 (2), 243--270, 2016	61	2016
Deep learning for quality assessment in live video streaming MT Vega, DC Mocanu, J Famaey, S Stavrou, A Liotta IEEE signal processing letters 24 (6), 736-740, 2017	54	2017
Automatically mapped transfer between reinforcement learning tasks via three-way restricted boltzmann machines HB Ammar, DC Mocanu, ME Taylor, K Driessens, K Tuyls, G Weiss Joint European Conference on Machine Learning and Knowledge Discovery in …, 2013	51*	2013
Factored four way conditional restricted boltzmann machines for activity recognition DC Mocanu, HB Ammar, D Lowet, K Driessens, A Liotta, G Weiss, K Tuyls Pattern Recognition Letters 66, 100-108, 2015	48*	2015
Factored Four Way Conditional Restricted Boltzmann Machines for Activity Recognition (Type B Paper) DC Mocanu, HB Ammar, D Lowet, K Driessens, A Liotta, G Weiss, K Tuyls Proceedings of the 27th Benelux Conference on Artificial Intelligence …, 2015	43*	2015
Short-long term anomaly detection in wireless sensor networks based on machine learning and multi-parameterized edit distance F Cauteruccio, G Fortino, A Guerrieri, A Liotta, DC Mocanu, C Perra, ... Information Fusion 52, 13-30, 2019	42	2019
Big IoT data mining for real-time energy disaggregation in buildings DC Mocanu, E Mocanu, PH Nguyen, M Gibescu, A Liotta 2016 IEEE International Conference on Systems, Man, and Cybernetics (SMC …, 2016	40	2016
DEEP LEARNING FOR OBJECTIVE QUALITY ASSESSMENT OF 3D IMAGES DC Mocanu, G Exarchakos, A Liotta IEEE International Conference on Image Processing (ICIP), 2014	40	2014
Predictive no-reference assessment of video quality MT Vega, DC Mocanu, S Stavrou, A Liotta Signal Processing: Image Communication 52, 20-32, 2017	36	2017
When does lower bitrate give higher quality in modern video services? DC Mocanu, A Liotta, A Ricci, MT Vega, G Exarchakos 2014 IEEE Network Operations and Management Symposium (NOMS), 1-5, 2014	35	2014
No-reference video quality measurement: added value of machine learning DC Mocanu, J Pokhrel, JP Garella, J Seppänen, E Liotou, M Narwaria Journal of Electronic Imaging 24 (6), 061208, 2015	31	2015
Towards ABAC Policy Mining from Logs with Deep Learning DC Mocanu, F Turkmen, A Liotta 18th International Multiconference, IS 2015, Intelligent Systems, Ljubljana …, 2015	31	2015
Reduced Reference Image Quality Assessment via Boltzmann Machines DC Mocanu, G Exarchakos, HB Ammar, A Liotta	30	2015
Sparse evolutionary deep learning with over one million artificial neurons on commodity hardware S Liu, DC Mocanu, ARR Matavalam, Y Pei, M Pechenizkiy Neural Computing and Applications (6 July 2020) 33 (7), 2589-2604, 2019	28	2019
An experimental survey of no-reference video quality assessment methods MT Vega, V Sguazzo, DC Mocanu, A Liotta International Journal of Pervasive Computing and Communications, 2016	27	2016
Instantaneous video quality assessment for lightweight devices A Liotta, DC Mocanu, V Menkovski, L Cagnetta, G Exarchakos Proceedings of International Conference on Advances in Mobile Computing …, 2013	27	2013
Cognitive No-Reference Video Quality Assessment for Mobile Streaming Services MT Vega, E Giordano, DC Mocanu, D Tjondronegoro, A Liotta Quality of Multimedia Experience (QoMEX), 1-6, 2015	23*	2015

The system can't perform the operation now. Try again later.

Articles 1–20

Citations per year

Duplicate citations

Merged citations

Add co-authorsCo-authors

Follow this author

Cited by

Co-authors