Cesare Furlanello

Orcid: 0000-0002-5384-3605

According to our database1, Cesare Furlanello authored at least 67 papers between 1992 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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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

AI Slipping on Tiles: Data Leakage in Digital Pathology.
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

MASS-UMAP: Fast and Accurate Analog Ensemble Search in Weather Radar Archives.
Remote. Sens., 2019

Evaluating reproducibility of AI algorithms in digital pathology with DAPPER.
PLoS Comput. Biol., 2019

MASS-UMAP: Fast and accurate analog ensemble search in weather radar archive.
CoRR, 2019

In-field grape berries counting for yield estimation using dilated CNNs.
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

Integrating deep and radiomics features in cancer bioimaging.
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

Phylogenetic convolutional neural networks in metagenomics.
BMC Bioinform., 2018

2017
A multiobjective deep learning approach for predictive classification in Neuroblastoma.
CoRR, 2017

Towards a scientific blockchain framework for reproducible data analysis.
CoRR, 2017

Towards meaningful physics from generative models.
CoRR, 2017

M-MS: A Multi-Modal Synchrony Dataset to Explore Dyadic Interaction in ASD.
Proceedings of the Advances in Intelligent Information Hiding and Multimedia Signal Processing, 2017

A heat wave forecast system for Europe.
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
Stereotypical Motor Movement Detection in Dynamic Feature Space.
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
Convolutional Neural Network for Stereotypical Motor Movement Detection in Autism.
CoRR, 2015

Community dynamics in connected time-dependent multilayer networks.
CoRR, 2015

The HIM glocal metric and kernel for network comparison and classification.
Proceedings of the 2015 IEEE International Conference on Data Science and Advanced Analytics, 2015

2014
A promoter-level mammalian expression atlas.
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Nat., 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
mlpy: Machine Learning Python
CoRR, 2012

A glocal distance for network comparison
CoRR, 2012

2011
A Machine Learning Pipeline for Discriminant Pathways Identification.
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

An introduction to spectral distances in networks.
Proceedings of the Neural Nets WIRN10, 2010

2008
Integrating gene expression profiling and clinical data.
Int. J. Approx. Reason., 2008

Algebraic stability indicators for ranked lists in molecular profiling.
Bioinform., 2008

Machine learning methods for predictive proteomics.
Briefings Bioinform., 2008

Efficient Feature Selection for PTR-MS Fingerprinting of Agroindustrial Products.
Proceedings of the Artificial Neural Networks, 2008

2007
Supervised classification of combined copy number and gene expression data.
J. Integr. Bioinform., 2007

Parallelizing AdaBoost by weights dynamics.
Comput. Stat. Data Anal., 2007

Deriving the Kernel from Training Data.
Proceedings of the Multiple Classifier Systems, 7th International Workshop, 2007

2006
Combining feature selection and DTW for time-varying functional genomics.
IEEE Trans. Signal Process., 2006

Proteome Profiling without Selection Bias.
Proceedings of the 19th IEEE International Symposium on Computer-Based Medical Systems (CBMS 2006), 2006

Strategies for containing an influenza pandemic: the case of Italy.
Proceedings of the 1st International ICST Conference on Bio Inspired Models of Network, 2006

2005
Semisupervised Learning for Molecular Profiling.
IEEE ACM Trans. Comput. Biol. Bioinform., 2005

Semisupervised Profiling of Gene Expressions and Clinical Data.
Proceedings of the Fuzzy Logic and Applications, 6th International Workshop, 2005

Machine Learning on Historic Air Photographs for Mapping Risk of Unexploded Bombs.
Proceedings of the Image Analysis and Processing, 2005

2004
Bias-Variance Control Via Hard Points Shaving.
Int. J. Pattern Recognit. Artif. Intell., 2004

Exact Bagging with k-Nearest Neighbour Classifiers.
Proceedings of the Multiple Classifier Systems, 5th International Workshop, 2004

2003
An accelerated procedure for recursive feature ranking on microarray data.
Neural Networks, 2003

Automatic model selection in cost-sensitive boosting.
Inf. Fusion, 2003

Entropy-based gene ranking without selection bias for the predictive classification of microarray data.
BMC Bioinform., 2003

2002
The Dynamics of AdaBoost Weights Tells You What's Hard to Classify
CoRR, 2002

Highlighting Hard Patterns via AdaBoost Weights Evolution.
Proceedings of the Multiple Classifier Systems, Third International Workshop, 2002

2001
Tuning Cost-Sensitive Boosting and Its Application to Melanoma Diagnosis.
Proceedings of the Multiple Classifier Systems, Second International Workshop, 2001

2000
Boosting of Tree-Based Classifiers for Predictive Risk Modeling in GIS.
Proceedings of the Multiple Classifier Systems, First International Workshop, 2000

1997
Speaker Normalization and Model Selection of Combined Neural Networks.
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
Connectionist Speaker Normalization with Generalized Resource Allocating Networks.
Proceedings of the Advances in Neural Information Processing Systems 7, 1994

1993
A memory-based approach to navigation.
Biol. Cybern., 1993

Memory-Based Navigation.
Proceedings of the 13th International Joint Conference on Artificial Intelligence. Chambéry, France, August 28, 1993

1992
Incremental Learning of Roughly Represented Concepts.
Proceedings of the IPMU '92, 1992


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