| 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 |
| A digital implementation of extreme learning machines for resource-constrained devices E Ragusa, C Gianoglio, P Gastaldo, R Zunino IEEE Transactions on Circuits and Systems II: Express Briefs 65 (8), 1104-1108, 2018 | 29 | 2018 |
| A survey on deep learning in image polarity detection: Balancing generalization performances and computational costs E Ragusa, E Cambria, R Zunino, P Gastaldo Electronics 8 (7), 783, 2019 | 27 | 2019 |
| Spam detection of Twitter traffic: A framework based on random forests and non-uniform feature sampling C Meda, E Ragusa, C Gianoglio, R Zunino, A Ottaviano, E Scillia, ... 2016 IEEE/ACM International Conference on Advances in Social Networks …, 2016 | 24 | 2016 |
| A design strategy for the efficient implementation of random basis neural networks on resource-constrained devices E Ragusa, C Gianoglio, R Zunino, P Gastaldo Neural Processing Letters 51 (2), 1611-1629, 2020 | 22 | 2020 |
| Design and deployment of an image polarity detector with visual attention E Ragusa, T Apicella, C Gianoglio, R Zunino, P Gastaldo Cognitive Computation, 1-13, 2022 | 18 | 2022 |
| A novel learning strategy for the trade-off between accuracy and computational cost: a touch modalities classification case study C Gianoglio, E Ragusa, P Gastaldo, M Valle IEEE Sensors Journal 22 (1), 659-670, 2021 | 18 | 2021 |
| Image polarity detection on resource-constrained devices E Ragusa, C Gianoglio, R Zunino, P Gastaldo IEEE Intelligent Systems 35 (6), 50-57, 2020 | 15 | 2020 |
| Learning with similarity functions: a novel design for the extreme learning machine P Gastaldo, F Bisio, C Gianoglio, E Ragusa, R Zunino Neurocomputing 261, 37-49, 2017 | 15 | 2017 |
| Balancing computational complexity and generalization ability: a novel design for ELM E Ragusa, P Gastaldo, R Zunino, E Cambria Neurocomputing 401, 405-417, 2020 | 14 | 2020 |
| 1-D convolutional neural networks for touch modalities classification C Gianoglio, E Ragusa, R Zunino, M Valle 2021 28th IEEE international conference on electronics, circuits, and …, 2021 | 12 | 2021 |
| Hardware-aware affordance detection for application in portable embedded systems E Ragusa, C Gianoglio, S Dosen, P Gastaldo IEEE Access 9, 123178-123193, 2021 | 12 | 2021 |
| Random-based networks with dropout for embedded systems E Ragusa, C Gianoglio, R Zunino, P Gastaldo Neural Computing and Applications 33, 6511-6526, 2021 | 12 | 2021 |
| Learning with similarity functions: a tensor-based framework E Ragusa, P Gastaldo, R Zunino, E Cambria Cognitive Computation 11, 31-49, 2019 | 11 | 2019 |
| Online predictive maintenance monitoring adopting convolutional neural networks C Gianoglio, E Ragusa, P Gastaldo, F Gallesi, F Guastavino Energies 14 (15), 4711, 2021 | 10 | 2021 |
| T-rexnet—a hardware-aware neural network for real-time detection of small moving objects A Canepa, E Ragusa, R Zunino, P Gastaldo Sensors 21 (4), 1252, 2021 | 10 | 2021 |
| Cognitive insights into sentic spaces using principal paths E Ragusa, P Gastaldo, R Zunino, MJ Ferrarotti, W Rocchia, S Decherchi Cognitive Computation 11, 656-675, 2019 | 10 | 2019 |
| Text-image sentiment analysis Q Chen, E Ragusa, I Chaturvedi, E Cambria, R Zunino International Conference on Computational Linguistics and Intelligent Text …, 2018 | 9 | 2018 |
| Emotion recognition on edge devices: Training and deployment V Pandelea, E Ragusa, T Apicella, P Gastaldo, E Cambria Sensors 21 (13), 4496, 2021 | 8 | 2021 |
| Data-driven video grasping classification for low-power embedded system E Ragusa, C Gianoglio, R Zunino, P Gastaldo 2019 26th IEEE International Conference on Electronics, Circuits and Systems …, 2019 | 8 | 2019 |
Paolo GastaldoAssociate Professor, University of GenoaDirección de correo verificada de unige.it
