Thomas Mazzocco
Thomas Mazzocco
Universitą di Pisa
Verified email at
Cited by
Cited by
Sentic medoids: Organizing affective common sense knowledge in a multi-dimensional vector space
E Cambria, T Mazzocco, A Hussain, C Eckl
International Symposium on Neural Networks, 601-610, 2011
Application of multi-dimensional scaling and artificial neural networks for biologically inspired opinion mining
E Cambria, T Mazzocco, A Hussain
Biologically Inspired Cognitive Architectures 4, 41-53, 2013
Novel logistic regression models to aid the diagnosis of dementia
T Mazzocco, A Hussain
Expert Systems with Applications 39 (3), 3356-3361, 2012
A reassessed model for mechanistic prediction of bubble departure and lift off diameters
T Mazzocco, W Ambrosini, R Kommajosyula, E Baglietto
International Journal of Heat and Mass Transfer 117, 119-124, 2018
Towards imaca: Intelligent multimodal affective conversational agent
A Hussain, E Cambria, T Mazzocco, M Grassi, QF Wang, T Durrani
International Conference on Neural Information Processing, 656-663, 2012
Switching Between Different Ways to Think
E Cambria, T Mazzocco, A Hussain, T Durrani
Analysis of Verbal and Nonverbal Communication and Enactment. The Processing …, 2011
A novel mortality model for acute alcoholic hepatitis including variables recorded after admission to hospital
T Mazzocco, A Hussain, S Hussain, AA Shah
Computers in biology and medicine 44, 132-135, 2014
Self-Reported “Communication Technology” Usage in Patients Attending a Cardiology Outpatient Clinic in a Remote Regional Hospital
T Gandiya, A Dua, G King, T Mazzocco, A Hussain, SJ Leslie
Mary Ann Liebert, Inc. 140 Huguenot Street, 3rd Floor New Rochelle, NY 10801 USA, 2012
Sentic neural networks: A novel cognitive model for affective common sense reasoning
T Mazzocco, E Cambria, A Hussain, QF Wang
International Conference on Brain Inspired Cognitive Systems, 12-21, 2012
A side-effects mapping model in patients with lung, colorectal and breast cancer receiving chemotherapy
T Mazzocco, A Hussain
2011 IEEE 13th International Conference on e-Health Networking, Applications …, 2011
A more general Force Balance Model to predict Bubble Departure and Lift-off Diameters in flow boiling
R Kommajosyula, T Mazzocco, W Ambrosini, E Baglietto
APS Division of Fluid Dynamics Meeting Abstracts, D21. 001, 2016
Toward a novel predictive analysis framework for new-generation clinical decision support systems
T Mazzocco
University of Stirling, 2014
Reassessing bubble departure and liftoff diameters: a more consistent approach for improved generality
Neural networks for financial time series prediction
T Mazzocco
The system can't perform the operation now. Try again later.
Articles 1–14