Cesare Furlanello

71 papers A* 1B 3C 3Misc 2Journal 44Unranked 18

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Characterizing motion artifacts in functional near-infrared spectroscopy signals using ground-truth movement information and computer vision. Biomed. Signal Process. Control. Andrea Bizzego, Alessandro Carollo, Seraphina Fong, Cesare Furlanello, Gianluca Esposito
2024	J	`jnl`	Exploring Physiological Responses in Virtual Reality-based Interventions for Autism Spectrum Disorder: A Data-Driven Investigation. CoRR Gianpaolo Alvari, Ersilia Vallefuoco, Melanie Cristofolini, Elio Salvadori, Marco Dianti, Alessia Moltani, Davide Dal Castello, Paola Venuti, Cesare Furlanello
2022	J	`jnl`	Accurate species identification of food-contaminating beetles with quality-improved elytral images and deep learning. Frontiers Artif. Intell. Halil Bisgin, Tanmay Bera, Leihong Wu, Hongjian Ding, Neslihan Bisgin, Zhichao Liu, Monica Pava-Ripoll, Amy Barnes, James F. Campbell, Himansi Vyas, Cesare Furlanello, Weida Tong, Joshua Xu
2022	J	`jnl`	histolab: A Python library for reproducible Digital Pathology preprocessing with automated testing. SoftwareX Alessia Marcolini, Nicole Bussola, Ernesto Arbitrio, Mohamed Amgad, Giuseppe Jurman, Cesare Furlanello
2020	—	`conf`	AI Slipping on Tiles: Data Leakage in Digital Pathology. ICPR Workshops (1) Nicole Bussola, Alessia Marcolini, Valerio Maggio, Giuseppe Jurman, Cesare Furlanello
2020	Misc	`conf`	Autonomic Activity and Surgical Flow Disruptions in Healthcare Providers during Cardiac Surgery. CogSIMA Lauren R. Kennedy-Metz, Andrea Bizzego, Roger D. Dias, Cesare Furlanello, Gianluca Esposito, Marco A. Zenati
2020	J	`jnl`	Comparison of Wearable and Clinical Devices for Acquisition of Peripheral Nervous System Signals. Sensors Andrea Bizzego, Giulio Gabrieli, Cesare Furlanello, Gianluca Esposito
2020	J	`jnl`	Deep Representation Learning of Electronic Health Records to Unlock Patient Stratification at Scale. CoRR Isotta Landi, Benjamin S. Glicksberg, Hao-Chih Lee, Sarah T. Cherng, Giulia Landi, Matteo Danieletto, Joel T. Dudley, Cesare Furlanello, Riccardo Miotto
2020	J	`jnl`	Deep representation learning of electronic health records to unlock patient stratification at scale. npj Digit. Medicine Isotta Landi, Benjamin S. Glicksberg, Hao-Chih Lee, Sarah T. Cherng, Giulia Landi, Matteo Danieletto, Joel T. Dudley, Cesare Furlanello, Riccardo Miotto
2020	—	`conf`	Feasibility of Healthcare Providers' Autonomic Activation Recognition in Real-Life Cardiac Surgery Using Noninvasive Sensors. HCI (48) Lauren R. Kennedy-Metz, Andrea Bizzego, Roger D. Dias, Cesare Furlanello, Gianluca Esposito, Marco A. Zenati
2020	J	`jnl`	Sensors for Continuous Monitoring of Surgeon's Cognitive Workload in the Cardiac Operating Room. Sensors Lauren R. Kennedy-Metz, Roger D. Dias, Srey Rithy, Geoffrey Rance, Cesare Furlanello, Marco A. Zenati
2019	J	`jnl`	A deep learning model to recognize food contaminating beetle species based on elytra fragments. Comput. Electron. Agric. Leihong Wu, Zhichao Liu, Tanmay Bera, Hongjian Ding, Darryl Langley, Amy Barnes, Cesare Furlanello, Valerio Maggio, Weida Tong, Joshua Xu
2019	J	`jnl`	Evaluating reproducibility of AI algorithms in digital pathology with DAPPER. PLoS Comput. Biol. Andrea Bizzego, Nicole Bussola, Marco Chierici, Valerio Maggio, Margherita Francescatto, Luca Cima, Marco Cristoforetti, Giuseppe Jurman, Cesare Furlanello
2019	J	`jnl`	High Resolution Forecasting of Heat Waves impacts on Leaf Area Index by Multiscale Multitemporal Deep Learning. CoRR Andrea Gobbi, Marco Cristoforetti, Giuseppe Jurman, Cesare Furlanello
2019	J	`jnl`	In-field grape berries counting for yield estimation using dilated CNNs. CoRR Luca Coviello, Marco Cristoforetti, Giuseppe Jurman, Cesare Furlanello
2019	C	`conf`	Integrating deep and radiomics features in cancer bioimaging. CIBCB Andrea Bizzego, Nicole Bussola, D. Salvalai, Marco Chierici, Valerio Maggio, Giuseppe Jurman, Cesare Furlanello
2019	J	`jnl`	MASS-UMAP: Fast and Accurate Analog Ensemble Search in Weather Radar Archives. Remote. Sens. Gabriele Franch, Giuseppe Jurman, Luca Coviello, Marta Pendesini, Cesare Furlanello
2019	J	`jnl`	MASS-UMAP: Fast and accurate analog ensemble search in weather radar archive. CoRR Gabriele Franch, Giuseppe Jurman, Luca Coviello, Marta Pendesini, Cesare Furlanello
2019	J	`jnl`	pyphysio: A physiological signal processing library for data science approaches in physiology. SoftwareX Andrea Bizzego, Alessandro Battisti, Giulio Gabrieli, Gianluca Esposito, Cesare Furlanello
2018	J	`jnl`	Deep learning for automatic stereotypical motor movement detection using wearable sensors in autism spectrum disorders. Signal Process. Nastaran Mohammadian Rad, Seyed Mostafa Kia, Calogero Zarbo, Twan van Laarhoven, Giuseppe Jurman, Paola Venuti, Elena Marchiori, Cesare Furlanello
2018	J	`jnl`	Novelty Detection using Deep Normative Modeling for IMU-Based Abnormal Movement Monitoring in Parkinson's Disease and Autism Spectrum Disorders. Sensors Nastaran Mohammadian Rad, Twan van Laarhoven, Cesare Furlanello, Elena Marchiori
2018	J	`jnl`	Phylogenetic convolutional neural networks in metagenomics. BMC Bioinform. Diego Fioravanti, Ylenia Giarratano, Valerio Maggio, Claudio Agostinelli, Marco Chierici, Giuseppe Jurman, Cesare Furlanello
2017	—	`conf`	A heat wave forecast system for Europe. IEEE BigData Andrea Gobbi, Azra Alikadic, Kaisa Riikka Ylinen, Federico Angaramo, Cesare Furlanello
2017	J	`jnl`	A multiobjective deep learning approach for predictive classification in Neuroblastoma. CoRR Valerio Maggio, Marco Chierici, Giuseppe Jurman, Cesare Furlanello
2017	—	`conf`	Coupling early warning services, crowdsourcing, and modelling for improved decision support and wildfire emergency management. IEEE BigData Conrad Bielski, V. O'Brien, C. Whitmore, Kaisa Riikka Ylinen, I. Juga, Pertti Nurmi, Juha Pekka Kilpinen, I. Porras, J. M. Sole, P. Gamez, M. Navarro, Azra Alikadic, Andrea Gobbi, Cesare Furlanello, Gunter Zeug, M. Weirathe, J. Martinez, R. Yuste, S. Castro, V. Moreno, T. Velin, Claudio Rossi
2017	J	`jnl`	Deep Learning for Automatic Stereotypical Motor Movement Detection using Wearable Sensors in Autism Spectrum Disorders. CoRR Nastaran Mohammadian Rad, Seyed Mostafa Kia, Calogero Zarbo, Twan van Laarhoven, Giuseppe Jurman, Paola Venuti, Elena Marchiori, Cesare Furlanello
2017	—	`conf`	M-MS: A Multi-Modal Synchrony Dataset to Explore Dyadic Interaction in ASD. IIH-MSP (1) Gabriele Calabrò, Andrea Bizzego, Stefano Cainelli, Cesare Furlanello, Paola Venuti
2017	J	`jnl`	Phylogenetic Convolutional Neural Networks in Metagenomics. CoRR Diego Fioravanti, Ylenia Giarratano, Valerio Maggio, Claudio Agostinelli, Marco Chierici, Giuseppe Jurman, Cesare Furlanello
2017	J	`jnl`	Towards a scientific blockchain framework for reproducible data analysis. CoRR Cesare Furlanello, Manlio De Domenico, Giuseppe Jurman, Nicole Bussola
2017	J	`jnl`	Towards meaningful physics from generative models. CoRR Marco Cristoforetti, Giuseppe Jurman, Andrea I. Nardelli, Cesare Furlanello
2016	—	`conf`	Applying Deep Learning to Stereotypical Motor Movement Detection in Autism Spectrum Disorders. ICDM Workshops Nastaran Mohammadian Rad, Cesare Furlanello
2016	—	`conf`	Stereotypical Motor Movement Detection in Dynamic Feature Space. ICDM Workshops Nastaran Mohammadian Rad, Seyed Mostafa Kia, Calogero Zarbo, Giuseppe Jurman, Paola Venuti, Cesare Furlanello
2015	J	`jnl`	Community dynamics in connected time-dependent multilayer networks. CoRR Marco Cristoforetti, Marco Guerini, Giuseppe Jurman, Cesare Furlanello
2015	J	`jnl`	Convolutional Neural Network for Stereotypical Motor Movement Detection in Autism. CoRR Nastaran Mohammadian Rad, Andrea Bizzego, Seyed Mostafa Kia, Giuseppe Jurman, Paola Venuti, Cesare Furlanello
2015	B	`conf`	The HIM glocal metric and kernel for network comparison and classification. DSAA Giuseppe Jurman, Roberto Visintainer, Michele Filosi, Samantha Riccadonna, Cesare Furlanello
2014	J	`jnl`	Entropy Dynamics of Community Alignment in the Italian Parliament Time-Dependent Network. CoRR Gabriele Lami, Marco Cristoforetti, Giuseppe Jurman, Cesare Furlanello, Tommaso Furlanello
2013	J	`jnl`	minerva and minepy: a C engine for the MINE suite and its R, Python and MATLAB wrappers. Bioinform. Davide Albanese, Michele Filosi, Roberto Visintainer, Samantha Riccadonna, Giuseppe Jurman, Cesare Furlanello
2012	J	`jnl`	A glocal distance for network comparison CoRR Giuseppe Jurman, Roberto Visintainer, Samantha Riccadonna, Michele Filosi, Cesare Furlanello
2012	J	`jnl`	mlpy: Machine Learning Python CoRR Davide Albanese, Roberto Visintainer, Stefano Merler, Samantha Riccadonna, Giuseppe Jurman, Cesare Furlanello
2011	—	`conf`	A Machine Learning Pipeline for Discriminant Pathways Identification. CIBB Annalisa Barla, Giuseppe Jurman, Roberto Visintainer, Margherita Squillario, Michele Filosi, Samantha Riccadonna, Cesare Furlanello
2010	J	`jnl`	A machine learning pipeline for quantitative phenotype prediction from genotype data. BMC Bioinform. Giorgio Guzzetta, Giuseppe Jurman, Cesare Furlanello
2010	—	`conf`	An introduction to spectral distances in networks. WIRN Giuseppe Jurman, Roberto Visintainer, Cesare Furlanello
2008	J	`jnl`	Algebraic stability indicators for ranked lists in molecular profiling. Bioinform. Giuseppe Jurman, Stefano Merler, Annalisa Barla, Silvano Paoli, Antonio Galea, Cesare Furlanello
2008	—	`conf`	Efficient Feature Selection for PTR-MS Fingerprinting of Agroindustrial Products. ICANN (2) Pablo M. Granitto, Franco Biasioli, Cesare Furlanello, Flavia Gasperi
2008	J	`jnl`	Integrating gene expression profiling and clinical data. Int. J. Approx. Reason. Silvano Paoli, Giuseppe Jurman, Davide Albanese, Stefano Merler, Cesare Furlanello
2008	J	`jnl`	Machine learning methods for predictive proteomics. Briefings Bioinform. Annalisa Barla, Giuseppe Jurman, Samantha Riccadonna, Stefano Merler, Marco Chierici, Cesare Furlanello
2007	—	`conf`	Deriving the Kernel from Training Data. MCS Stefano Merler, Giuseppe Jurman, Cesare Furlanello
2007	J	`jnl`	Parallelizing AdaBoost by weights dynamics. Comput. Stat. Data Anal. Stefano Merler, Bruno Caprile, Cesare Furlanello
2007	J	`jnl`	Supervised classification of combined copy number and gene expression data. J. Integr. Bioinform. Samantha Riccadonna, Giuseppe Jurman, Stefano Merler, Silvano Paoli, Alessandro Quattrone, Cesare Furlanello
2006	J	`jnl`	Combining feature selection and DTW for time-varying functional genomics. IEEE Trans. Signal Process. Cesare Furlanello, Stefano Merler, Giuseppe Jurman
2006	B	`conf`	Proteome Profiling without Selection Bias. CBMS Annalisa Barla, Bettina Irler, Stefano Merler, Giuseppe Jurman, Silvano Paoli, Cesare Furlanello
2006	—	`conf`	Strategies for containing an influenza pandemic: the case of Italy. BIONETICS Stefano Merler, Giuseppe Jurman, Cesare Furlanello, Caterina Rizzo, Antonino Bella, Marco Massari, Marta Luisa Ciofi degli Atti
2005	Misc	`conf`	Machine Learning on Historic Air Photographs for Mapping Risk of Unexploded Bombs. ICIAP Stefano Merler, Cesare Furlanello, Giuseppe Jurman
2005	J	`jnl`	Semisupervised Learning for Molecular Profiling. IEEE ACM Trans. Comput. Biol. Bioinform. Cesare Furlanello, Maria Serafini, Stefano Merler, Giuseppe Jurman
2005	—	`conf`	Semisupervised Profiling of Gene Expressions and Clinical Data. WILF Silvano Paoli, Giuseppe Jurman, Davide Albanese, Stefano Merler, Cesare Furlanello
2004	J	`jnl`	Bias-Variance Control Via Hard Points Shaving. Int. J. Pattern Recognit. Artif. Intell. Stefano Merler, Bruno Caprile, Cesare Furlanello
2004	—	`conf`	Exact Bagging with k-Nearest Neighbour Classifiers. Multiple Classifier Systems Bruno Caprile, Stefano Merler, Cesare Furlanello, Giuseppe Jurman
2003	J	`jnl`	An accelerated procedure for recursive feature ranking on microarray data. Neural Networks Cesare Furlanello, Maria Serafini, Stefano Merler, Giuseppe Jurman
2003	J	`jnl`	Automatic model selection in cost-sensitive boosting. Inf. Fusion Stefano Merler, Cesare Furlanello, Barbara Larcher, Andrea Sboner
2003	J	`jnl`	Entropy-based gene ranking without selection bias for the predictive classification of microarray data. BMC Bioinform. Cesare Furlanello, Maria Serafini, Stefano Merler, Giuseppe Jurman
2003	B	`conf`	Gene selection and classification by entropy-based recursive feature elimination. IJCNN Cesare Furlanello, Maria Serafini, Stefano Merler, Giuseppe Jurman
2002	—	`conf`	Highlighting Hard Patterns via AdaBoost Weights Evolution. Multiple Classifier Systems Bruno Caprile, Cesare Furlanello, Stefano Merler
2002	J	`jnl`	The Dynamics of AdaBoost Weights Tells You What's Hard to Classify CoRR Bruno Caprile, Cesare Furlanello, Stefano Merler
2001	—	`conf`	Tuning Cost-Sensitive Boosting and Its Application to Melanoma Diagnosis. Multiple Classifier Systems Stefano Merler, Cesare Furlanello, Barbara Larcher, Andrea Sboner
2000	—	`conf`	Boosting of Tree-Based Classifiers for Predictive Risk Modeling in GIS. Multiple Classifier Systems Cesare Furlanello, Stefano Merler
1997	J	`jnl`	Speaker Normalization and Model Selection of Combined Neural Networks. Connect. Sci. Cesare Furlanello, Diego Giuliani, Edmondo Trentin, Stefano Merler
1995	C	`conf`	Application of Generalized Radial Basis Functions In Speaker Normalization and Identification. ISCAS Cesare Furlanello, Diego Giuliani, Edmondo Trentin, Daniele Falavigna
1994	—	`conf`	Connectionist Speaker Normalization with Generalized Resource Allocating Networks. NIPS Cesare Furlanello, Diego Giuliani, Edmondo Trentin
1993	J	`jnl`	A memory-based approach to navigation. Biol. Cybern. Bruno Crespi, Cesare Furlanello, Luigi Stringa
1993	A*	`conf`	Memory-Based Navigation. IJCAI Bruno Crespi, Cesare Furlanello, Luigi Stringa
1992	C	`conf`	Incremental Learning of Roughly Represented Concepts. IPMU Anio O. Arigoni, Cesare Furlanello, Vittorio Maniezzo