| A survey of hybrid ANN/HMM models for automatic speech recognition E Trentin, M Gori Neurocomputing 37 (1-4), 91-126, 2001 | 305 | 2001 |
| Pattern classification and clustering: A review of partially supervised learning approaches F Schwenker, E Trentin Pattern Recognition Letters 37, 4-14, 2014 | 253 | 2014 |
| Networks with trainable amplitude of activation functions E Trentin Neural Networks 14 (4-5), 471-493, 2001 | 120 | 2001 |
| Robust combination of neural networks and hidden Markov models for speech recognition E Trentin, M Gori IEEE Transactions on Neural Networks 14 (6), 1519-1531, 2003 | 112 | 2003 |
| Emotion recognition from speech signals via a probabilistic echo-state network E Trentin, S Scherer, F Schwenker Pattern Recognition Letters 66, 4-12, 2015 | 65 | 2015 |
| Techniques for dealing with incomplete data: a tutorial and survey M Aste, M Boninsegna, A Freno, E Trentin Pattern Analysis and Applications 18, 1-29, 2015 | 52 | 2015 |
| Combination of supervised and unsupervised learning for training the activation functions of neural networks I Castelli, E Trentin Pattern Recognition Letters 37, 178-191, 2014 | 36 | 2014 |
| Neural-based downlink scheduling algorithm for broadband wireless networks P Fiengo, G Giambene, E Trentin Computer communications 30 (2), 207-218, 2007 | 26 | 2007 |
| Parzen neural networks: Fundamentals, properties, and an application to forensic anthropology E Trentin, L Lusnig, F Cavalli Neural Networks 97, 137-151, 2018 | 24 | 2018 |
| Hybrid random fields A Freno, E Trentin Springer, 2011 | 23 | 2011 |
| Recursive neural networks for density estimation over generalized random graphs M Bongini, L Rigutini, E Trentin IEEE Transactions on Neural Networks and Learning Systems 29 (11), 5441-5458, 2018 | 22 | 2018 |
| Unsupervised nonparametric density estimation: A neural network approach E Trentin, A Freno 2009 International Joint Conference on Neural Networks, 3140-3147, 2009 | 18 | 2009 |
| Connectionist speaker normalization with generalized resource allocating networks C Furlanello, D Giuliani, E Trentin Advances in neural information processing systems 7, 1994 | 17 | 1994 |
| Partially supervised learning for pattern recognition F Schwenker, E Trentin Pattern Recognition Letters 37, 1-3, 2014 | 16 | 2014 |
| Scalable pseudo-likelihood estimation in hybrid random fields A Freno, E Trentin, M Gori Proceedings of the 15th ACM SIGKDD international conference on Knowledge …, 2009 | 16 | 2009 |
| Neural networks for speech recognition E Trentin, Y Bengio, C Furlanello, R De Mori Spoken Dialogues with Computers, 311-361, 1998 | 16 | 1998 |
| Soft-constrained neural networks for nonparametric density estimation E Trentin Neural Processing Letters 48 (2), 915-932, 2018 | 13 | 2018 |
| Supervised and unsupervised co-training of adaptive activation functions in neural nets I Castelli, E Trentin Partially Supervised Learning: First IAPR TC3 Workshop, PSL 2011, Ulm …, 2012 | 12 | 2012 |
| Off the mainstream: advances in neural networks and machine learning for pattern recognition E Trentin, F Schwenker, N El Gayar, HM Abbas Neural Processing Letters 48, 643-648, 2018 | 11 | 2018 |
| Use of pattern recognition and neural networks for non-metric sex diagnosis from lateral shape of calvarium: an innovative model for computer-aided diagnosis in forensic and … F Cavalli, L Lusnig, E Trentin International journal of legal medicine 131 (3), 823-833, 2017 | 11 | 2017 |
