Idx_Testolin

A comparison of feature extraction methods for prediction of neuropsychological scores from functional connectivity data of stroke patients

Calesella, F., Testolin, A., De Filippo De Grazia, M., & Zorzi, M. (2021). A comparison of feature extraction methods for prediction of neuropsychological scores from functional connectivity data of stroke patients. Brain Informatics, 8(1), 1-13.

PDF document icon Calesella et al - Brain Informatics - 2021.pdf — PDF document, 3.33 MB (3487234 bytes)

A Developmental Approach for Training Deep Belief Networks

Zambra, M., Testolin, A., & Zorzi, M. (2023). A developmental approach for training deep belief networks. Cognitive Computation, 15(1), 103-120.

PDF document icon Zambra et al. - 2022 - Cognitive Computation.pdf — PDF document, 4.43 MB (4649860 bytes)

A HMM-based Pre-training Approach for Sequential Data

Pasa, L., Testolin, A. & Sperduti, A. (2014). A HMM-based pre-training approach for sequential data. European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, Bruges (BE)

PDF document icon es2014-166.pdf — PDF document, 1.21 MB (1267386 bytes)

A machine learning approach to QoE-based video admission control and resource allocation in wireless systems

Testolin, A., Zanforlin, M., De Filippo De Grazia, M., Munaretto, D., Zanella, A., Zorzi, M. & Zorzi, M. (2014). A machine learning approach to QoE-based video admission control and resource allocation in wireless systems. IEEE IFIP Annual Mediterranean Ad Hoc Networking Workshop, Piran (SL)

PDF document icon 2014 - Testolin et al. - IEEE IFIP Annual Mediterranean Ad Hoc Networking Workshop.pdf — PDF document, 801 KB (820669 bytes)

An emergentist perspective on the origin of number sense

Zorzi, M., & Testolin, A. (2018). An emergentist perspective on the origin of number sense. Phil. Trans. R. Soc. B, 373(1740), 20170043.

PDF document icon Zorzi, Testolin - 2018 - PTRS-B.pdf — PDF document, 918 KB (940317 bytes)

Assessment of Sequential Boltzmann Machines on a Lexical Processing Task

Testolin, A., Sperduti, A., Stoianov, I., & Zorzi, M. (2012). Assessment of Sequential Boltzmann Machines on a Lexical Processing Task. European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning - ESANN.

PDF document icon Testolin et al. ESANN. 2012.pdf — PDF document, 198 KB (203477 bytes)

Automated detection of dolphin whistles with convolutional networks and transfer learning

Nur Korkmaz, B., Diamant, R., Danino, G., & Testolin, A. (2023). Automated detection of dolphin whistles with convolutional networks and transfer learning. Frontiers in Artificial Intelligence, 6, 1099022.

PDF document icon Korkmaz et al. - Frontiers in AI - 2023.pdf — PDF document, 893 KB (914497 bytes)

AUV navigation using cues in the sand ripples

Shalev, H., Nagar, L., Abu, A., Testolin, A., & Diamant, R. (2023). AUV navigation using cues in the sand ripples. Autonomous Robots, 47(1), 95-107.

PDF document icon Shalev et al. 2022 - Autonomous Robots.pdf — PDF document, 2.66 MB (2789328 bytes)

Bilingualism advantage in handwritten character recognition: A deep learning investigation on Persian and Latin scripts

Sadeghi, Z. Testolin, A. and Zorzi, M. (2017). Bilingualism advantage in handwritten character recognition: A deep learning investigation on Persian and Latin scripts. 7th International Conference on Computer and Knowledge Engineering (ICCKE).

PDF document icon SadeghiTestolinZorzi_ICCKE_final.pdf — PDF document, 394 KB (403970 bytes)

Cognition-based networks: applying cognitive science to wireless networking

Badia, L., Munaretto, D., Testolin, A., Zanella, A., Zorzi, M. & Zorzi, M. (2014). Cognition-based networks: applying cognitive science to wireless networking. IEEE International Symposium on a World of Wireless, Mobile and Multimedia Networks, Sydney (AUS)

PDF document icon 2014 - Badia et al. - IEEE International Symposium on a World of Wireless, Mobile and Multimedia Networks.pdf — PDF document, 308 KB (315574 bytes)

Cognition-based networks: a new perspective on network optimization using learning and distributed intelligence

Zorzi, M., Zanella, A., Testolin, A. , De Filippo De Grazia, M., and Zorzi, M. (2015). Cognition-based networks: a new perspective on network optimization using learning and distributed intelligence. IEEE Access, vol. 3, pg. 1512–1530.

PDF document icon Zorzi_et_al-2015.pdf — PDF document, 5.74 MB (6017614 bytes)

Combining Denoising Autoencoders and Dynamic Programming for Acoustic Detection and Tracking of Underwater Moving Targets

Testolin, A., & Diamant, R. (2020). Combining Denoising Autoencoders and Dynamic Programming for Acoustic Detection and Tracking of Underwater Moving Targets. Sensors, 20(10), 2945.

PDF document icon TestolinDiamant-Sensors-2020.pdf — PDF document, 8.96 MB (9396271 bytes)

Publications, Alberto Testolin