Extreme learning machines [trends & controversies] E Cambria, GB Huang, LLC Kasun, H Zhou, CM Vong, J Lin, J Yin, Z Cai, ... IEEE intelligent systems 28 (6), 30-59, 2013 | 440 | 2013 |
Bayesian network based extreme learning machine for subjectivity detection I Chaturvedi, E Ragusa, P Gastaldo, R Zunino, E Cambria Journal of The Franklin Institute 355 (4), 1780-1797, 2018 | 166 | 2018 |
An ELM-based model for affective analogical reasoning E Cambria, P Gastaldo, F Bisio, R Zunino Neurocomputing 149, 443-455, 2015 | 140 | 2015 |
Tactile-data classification of contact materials using computational intelligence S Decherchi, P Gastaldo, RS Dahiya, M Valle, R Zunino IEEE Transactions on Robotics 27 (3), 635-639, 2011 | 109 | 2011 |
Efficient digital implementation of extreme learning machines for classification S Decherchi, P Gastaldo, A Leoncini, R Zunino IEEE Transactions on Circuits and Systems II: Express Briefs 59 (8), 496-500, 2012 | 100 | 2012 |
Circular-ELM for the reduced-reference assessment of perceived image quality S Decherchi, P Gastaldo, R Zunino, E Cambria, J Redi Neurocomputing 102, 78-89, 2013 | 93 | 2013 |
Color distribution information for the reduced-reference assessment of perceived image quality JA Redi, P Gastaldo, I Heynderickx, R Zunino IEEE Transactions on Circuits and Systems for Video Technology 20 (12), 1757 …, 2010 | 86 | 2010 |
Objective quality assessment of displayed images by using neural networks P Gastaldo, R Zunino, I Heynderickx, E Vicario Signal processing: Image communication 20 (7), 643-661, 2005 | 73 | 2005 |
Active haptic perception in robots: a review L Seminara, P Gastaldo, SJ Watt, KF Valyear, F Zuher, F Mastrogiovanni Frontiers in neurorobotics 13, 467142, 2019 | 72 | 2019 |
Supporting visual quality assessment with machine learning P Gastaldo, R Zunino, J Redi EURASIP Journal on Image and Video Processing 2013, 1-15, 2013 | 62 | 2013 |
Objective quality assessment of MPEG-2 video streams by using CBP neural networks P Gastaldo, S Rovetta, R Zunino IEEE Transactions on Neural Networks 13 (4), 939-947, 2002 | 59 | 2002 |
A tensor-based approach to touch modality classification by using machine learning P Gastaldo, L Pinna, L Seminara, M Valle, R Zunino Robotics and Autonomous Systems 63, 268-278, 2015 | 52 | 2015 |
A machine learning approach for Twitter spammers detection C Meda, F Bisio, P Gastaldo, R Zunino 2014 international carnahan conference on security technology (iccst), 1-6, 2014 | 52 | 2014 |
Neural projection techniques for the visual inspection of network traffic Á Herrero, E Corchado, P Gastaldo, R Zunino Neurocomputing 72 (16-18), 3649-3658, 2009 | 51 | 2009 |
A tensor-based pattern-recognition framework for the interpretation of touch modality in artificial skin systems P Gastaldo, L Pinna, L Seminara, M Valle, R Zunino IEEE Sensors Journal 14 (7), 2216-2225, 2014 | 43 | 2014 |
Neural networks for the no-reference assessment of perceived quality P Gastaldo, R Zunino Journal of Electronic Imaging 14 (3), 033004-033004-11, 2005 | 43 | 2005 |
Combining ELM with random projections P Gastaldo, R Zunino, E Cambria, S Decherchi IEEE intelligent systems 28 (6), 46-48, 2013 | 38 | 2013 |
Image quality assessment by using neural networks P Carrai, I Heynderickz, P Gastaldo, R Zunino 2002 IEEE International Symposium on Circuits and Systems (ISCAS) 5, V-V, 2002 | 35 | 2002 |
Electronic skin: achievements, issues and trends L Seminara, L Pinna, A Ibrahim, L Noli, M Capurro, S Caviglia, P Gastaldo, ... Procedia Technology 15, 549-558, 2014 | 34 | 2014 |
No-reference quality assessment of JPEG images by using CBP neural networks P Gastaldo, G Parodi, J Redi, R Zunino Artificial Neural Networks–ICANN 2007: 17th International Conference, Porto …, 2007 | 34 | 2007 |