Cesare Furlanello
Orcid: 0000-0002-5384-3605
According to our database1,
Cesare Furlanello
authored at least 67 papers
between 1992 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
-
on zbmath.org
-
on orcid.org
On csauthors.net:
Bibliography
2024
Exploring Physiological Responses in Virtual Reality-based Interventions for Autism Spectrum Disorder: A Data-Driven Investigation.
CoRR, 2024
2022
histolab: A Python library for reproducible Digital Pathology preprocessing with automated testing.
SoftwareX, December, 2022
Accurate species identification of food-contaminating beetles with quality-improved elytral images and deep learning.
Frontiers Artif. Intell., 2022
2020
Sensors for Continuous Monitoring of Surgeon's Cognitive Workload in the Cardiac Operating Room.
Sensors, 2020
Comparison of Wearable and Clinical Devices for Acquisition of Peripheral Nervous System Signals.
Sensors, 2020
Deep representation learning of electronic health records to unlock patient stratification at scale.
npj Digit. Medicine, 2020
Proceedings of the Pattern Recognition. ICPR International Workshops and Challenges, 2020
Feasibility of Healthcare Providers' Autonomic Activation Recognition in Real-Life Cardiac Surgery Using Noninvasive Sensors.
Proceedings of the HCI International 2020 - Late Breaking Posters, 2020
Autonomic Activity and Surgical Flow Disruptions in Healthcare Providers during Cardiac Surgery.
Proceedings of the IEEE Conference on Cognitive and Computational Aspects of Situation Management, 2020
2019
pyphysio: A physiological signal processing library for data science approaches in physiology.
SoftwareX, 2019
Remote. Sens., 2019
PLoS Comput. Biol., 2019
CoRR, 2019
High Resolution Forecasting of Heat Waves impacts on Leaf Area Index by Multiscale Multitemporal Deep Learning.
CoRR, 2019
A deep learning model to recognize food contaminating beetle species based on elytra fragments.
Comput. Electron. Agric., 2019
Proceedings of the IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, 2019
2018
Deep learning for automatic stereotypical motor movement detection using wearable sensors in autism spectrum disorders.
Signal Process., 2018
Novelty Detection using Deep Normative Modeling for IMU-Based Abnormal Movement Monitoring in Parkinson's Disease and Autism Spectrum Disorders.
Sensors, 2018
2017
A multiobjective deep learning approach for predictive classification in Neuroblastoma.
CoRR, 2017
Proceedings of the Advances in Intelligent Information Hiding and Multimedia Signal Processing, 2017
Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017
Coupling early warning services, crowdsourcing, and modelling for improved decision support and wildfire emergency management.
Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017
2016
Proceedings of the IEEE International Conference on Data Mining Workshops, 2016
Applying Deep Learning to Stereotypical Motor Movement Detection in Autism Spectrum Disorders.
Proceedings of the IEEE International Conference on Data Mining Workshops, 2016
2015
CoRR, 2015
Proceedings of the 2015 IEEE International Conference on Data Science and Advanced Analytics, 2015
2014
Entropy Dynamics of Community Alignment in the Italian Parliament Time-Dependent Network.
CoRR, 2014
2013
minerva and minepy: a C engine for the MINE suite and its R, Python and MATLAB wrappers.
Bioinform., 2013
2012
2011
Proceedings of the Computational Intelligence Methods for Bioinformatics and Biostatistics, 2011
2010
A machine learning pipeline for quantitative phenotype prediction from genotype data.
BMC Bioinform., 2010
Proceedings of the Neural Nets WIRN10, 2010
2008
Int. J. Approx. Reason., 2008
Bioinform., 2008
Proceedings of the Artificial Neural Networks, 2008
2007
J. Integr. Bioinform., 2007
Proceedings of the Multiple Classifier Systems, 7th International Workshop, 2007
2006
IEEE Trans. Signal Process., 2006
Proceedings of the 19th IEEE International Symposium on Computer-Based Medical Systems (CBMS 2006), 2006
Proceedings of the 1st International ICST Conference on Bio Inspired Models of Network, 2006
2005
IEEE ACM Trans. Comput. Biol. Bioinform., 2005
Proceedings of the Fuzzy Logic and Applications, 6th International Workshop, 2005
Proceedings of the Image Analysis and Processing, 2005
2004
Int. J. Pattern Recognit. Artif. Intell., 2004
Proceedings of the Multiple Classifier Systems, 5th International Workshop, 2004
2003
Neural Networks, 2003
Entropy-based gene ranking without selection bias for the predictive classification of microarray data.
BMC Bioinform., 2003
2002
Proceedings of the Multiple Classifier Systems, Third International Workshop, 2002
2001
Proceedings of the Multiple Classifier Systems, Second International Workshop, 2001
2000
Proceedings of the Multiple Classifier Systems, First International Workshop, 2000
1997
Connect. Sci., 1997
1995
Application of Generalized Radial Basis Functions In Speaker Normalization and Identification.
Proceedings of the 1995 IEEE International Symposium on Circuits and Systems, ISCAS 1995, Seattle, Washington, USA, April 30, 1995
1994
Proceedings of the Advances in Neural Information Processing Systems 7, 1994
1993
Memory-Based Navigation.
Proceedings of the 13th International Joint Conference on Artificial Intelligence. Chambéry, France, August 28, 1993
1992
Proceedings of the IPMU '92, 1992