Carla Ippoliti

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All published works

Action	Title	Year	Authors
+ PDF Chat	Spotting Virus From Satellites: Modeling the Circulation of West Nile Virus Through Graph Neural Networks	2023	Lorenzo Bonicelli Angelo Porrello Stefano Vincenzi Carla Ippoliti Federica Iapaolo Annamaria Conte Simone Calderara
+	Spotting Virus from Satellites: Modeling the Circulation of West Nile Virus Through Graph Neural Networks	2022	Lorenzo Bonicelli Angelo Porrello Stefano Vincenzi Carla Ippoliti Federica Iapaolo Annamaria Conte Simone Calderara
+ PDF Chat	The color out of space: learning self-supervised representations for Earth Observation imagery	2021	Stefano Vincenzi Angelo Porrello Pietro Buzzega Marco Cipriano Pietro Fronte Roberto Cuccu Carla Ippoliti Annamaria Conte Simone Calderara
+ PDF Chat	Predicting WNV Circulation in Italy Using Earth Observation Data and Extreme Gradient Boosting Model	2020	Luca Candeloro Carla Ippoliti Federica Iapaolo Federica Monaco Daniela Morelli Roberto Cuccu Pietro Fronte Simone Calderara Stefano Vincenzi Angelo Porrello
+	The color out of space: learning self-supervised representations for Earth Observation imagery	2020	Stefano Vincenzi Angelo Porrello Pietro Buzzega Marco Cipriano Pietro Fronte Roberto Cuccu Carla Ippoliti Annamaria Conte Simone Calderara
+	The color out of space: learning self-supervised representations for Earth Observation imagery	2020	Stefano Vincenzi Angelo Porrello Pietro Buzzega Marco Cipriano Pietro Fronte Roberto Cuccu Carla Ippoliti Annamaria Conte Simone Calderara
+	Spotting insects from satellites: modeling the presence of Culicoides imicola through Deep CNNs.	2019	Stefano Vincenzi Angelo Porrello Pietro Buzzega Annamaria Conte Carla Ippoliti Luca Candeloro Alessio Di Lorenzo Andrea Capobianco Dondona Simone Calderara
+ PDF Chat	Spotting Insects from Satellites: Modeling the Presence of Culicoides Imicola Through Deep CNNs	2019	Angelo Porrello Stefano Vincenzi Pietro Buzzega Simone Calderara Annamaria Conte Carla Ippoliti Luca Candeloro Alessio Di Lorenzo Andrea Capobianco Dondona
+	Spotting insects from satellites: modeling the presence of Culicoides imicola through Deep CNNs	2019	Stefano Vincenzi Angelo Porrello Pietro Buzzega Annamaria Conte Carla Ippoliti Luca Candeloro Alessio Di Lorenzo Andrea Capobianco Dondona Simone Calderara
+	Development of an active risk-based surveillance strategy for avian influenza in Cuba	2014	E Ferrer Pastor Alfonso Carla Ippoliti Marta Pérez-Abeledo Paolo Calistri Pedro Blanco Annamaria Conte Bianca V. Sanchez Osvaldo Fonseca‐Rodríguez María Irian Percedo
+	EPISTIS - Remote sensing tools to study the epidemiology and space/time dynamics of diseases	2008	Sabine Vanhuysse Marius Gilbert Thibaud Rigot Patrick Mardulyn Peter Van den Bossche Claudia De Pus Éric F. Lambin Elisabeth Dion Guy Hendrickx Eva De Clercq

Common Coauthors

Coauthor	Papers Together
Annamaria Conte	11
Simone Calderara	9
Stefano Vincenzi	9
Angelo Porrello	9
Pietro Buzzega	6
Pietro Fronte	4
Roberto Cuccu	4
Luca Candeloro	4
Marco Cipriano	3
Andrea Capobianco Dondona	3
Federica Iapaolo	3
Alessio Di Lorenzo	3
Lorenzo Bonicelli	2
Paolo Calistri	2
María Irian Percedo	1
Éric F. Lambin	1
Daniela Morelli	1
Éléonore Wolff	1
Peter Van den Bossche	1
Armando Giovannini	1
Patrick Mardulyn	1
K. Coetzer	1
Guy Hendrickx	1
L. Van Schalkwyk	1
E Ferrer	1
O Fernández	1
Pedro Blanco	1
Marta Pérez-Abeledo	1
Antonio Pérez	1
Els Ducheyne	1
Pastor Alfonso	1
Nicola D’Alterio	1
Claudia De Pus	1
Elisabeth Dion	1
Bianca V. Sanchez	1
Marius Gilbert	1
Thibaud Rigot	1
Sabine Vanhuysse	1
Osvaldo Fonseca‐Rodríguez	1
Eva De Clercq	1
Maria Goffredo	1
Federica Monaco	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+ PDF Chat	Deep Residual Learning for Image Recognition	2016	Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun	5
+ PDF Chat	Bigearthnet: A Large-Scale Benchmark Archive for Remote Sensing Image Understanding	2019	Gencer Sümbül Marcela Charfuelàn Begüm Demir Volker Markl	5
+ PDF Chat	Deep Learning Approach for Building Detection in Satellite Multispectral Imagery	2018	Geesara Kulathunga Ilya Afanasyev	4
+ PDF Chat	An early start of West Nile virus seasonal transmission: the added value of One Heath surveillance in detecting early circulation and triggering timely response in Italy, June to July 2018	2018	Flavia Riccardo Federica Monaco Antonino Bella Giovanni Savini Francesca Russo Roberto Cagarelli M. Dottori Caterina Rizzo Giulietta Venturi Marco Di Luca	3
+ PDF Chat	ImageNet Large Scale Visual Recognition Challenge	2015	Olga Russakovsky Jia Deng Hao Su Jonathan Krause Sanjeev Satheesh Sean Ma Zhiheng Huang Andrej Karpathy Aditya Khosla Michael S. Bernstein	3
+ PDF Chat	Spotting Insects from Satellites: Modeling the Presence of Culicoides Imicola Through Deep CNNs	2019	Angelo Porrello Stefano Vincenzi Pietro Buzzega Simone Calderara Annamaria Conte Carla Ippoliti Luca Candeloro Alessio Di Lorenzo Andrea Capobianco Dondona	3
+	Spotting insects from satellites: modeling the presence of Culicoides imicola through Deep CNNs.	2019	Stefano Vincenzi Angelo Porrello Pietro Buzzega Annamaria Conte Carla Ippoliti Luca Candeloro Alessio Di Lorenzo Andrea Capobianco Dondona Simone Calderara	3
+ PDF Chat	Colorization as a Proxy Task for Visual Understanding	2017	Gustav Larsson Michael Maire Gregory Shakhnarovich	2
+ PDF Chat	Tile2Vec: Unsupervised Representation Learning for Spatially Distributed Data	2019	Neal Jean Sherrie Wang Anshul Samar George Azzari David B. Lobell Stefano Ermon	2
+ PDF Chat	Identifying the Environmental Conditions Favouring West Nile Virus Outbreaks in Europe	2015	Matteo Marcantonio Annapaola Rizzoli Markus Metz Roberto Rosà Giovanni Marini Elizabeth A. Chadwick Markus Neteler	2
+ PDF Chat	Predictive Modeling of West Nile Virus Transmission Risk in the Mediterranean Basin: How Far from Landing?	2013	Véronique Chevalier Annelise Tran Bernard Durand	2
+	In-domain representation learning for remote sensing	2019	Maxim Neumann André Susano Pinto Xiaohua Zhai Neil Houlsby	2
+	Explainable Artificial Intelligence: Understanding, Visualizing and Interpreting Deep Learning Models	2017	Wojciech Samek Thomas Wiegand Klaus‐Robert Müller	2
+	Very Deep Convolutional Networks for Large-Scale Image Recognition	2014	Karen Simonyan Andrew Zisserman	2
+	Attention-based Deep Multiple Instance Learning	2018	Maximilian Ilse Jakub M. Tomczak Max Welling	2
+ PDF Chat	Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification	2015	Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun	2
+	An Empirical Evaluation of Generic Convolutional and Recurrent Networks for Sequence Modeling	2018	Shaojie Bai J. Zico Kolter Vladlen Koltun	2
+ PDF Chat	Going deeper with convolutions	2015	Christian Szegedy Wei Liu Yangqing Jia Pierre Sermanet Scott Reed Dragomir Anguelov Dumitru Erhan Vincent Vanhoucke Andrew Rabinovich	2
+ PDF Chat	Towards better exploiting convolutional neural networks for remote sensing scene classification	2016	Keiller Nogueira Otávio A. B. Penatti Jefersson A. dos Santos	2
+ PDF Chat	Spatio-temporal patterns of distribution of West Nile virus vectors in eastern Piedmont Region, Italy	2011	Donal Bisanzio Mario Giacobini Luigi Bertolotti Andrea Mosca Luca Balbo Uriel Kitron Gonzalo M. Vázquez-Prokopec	2
+ PDF Chat	Revisiting Self-Supervised Visual Representation Learning	2019	Alexander Kolesnikov Xiaohua Zhai Lucas Beyer	2
+	Classifying Signals on Irregular Domains via Convolutional Cluster Pooling	2019	Angelo Porrello Davide Abati Simone Calderara Rita Cucchiara	2
+	Classifying Signals on Irregular Domains via Convolutional Cluster Pooling	2019	Angelo Porrello Davide Abati Simone Calderara Rita Cucchiara	2
+	Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift	2015	Sergey Ioffe Christian Szegedy	2
+ PDF Chat	Unsupervised Learning of Visual Representations by Solving Jigsaw Puzzles	2016	Mehdi Noroozi Paolo Favaro	2
+	What makes ImageNet good for transfer learning	2016	Minyoung Huh Pulkit Agrawal Alexei A. Efros	2
+	Fully Convolutional Networks for Dense Semantic Labelling of High-Resolution Aerial Imagery	2016	Jamie Sherrah	2
+	Tackling Climate Change with Machine Learning	2019	David Rolnick Priya L. Donti Lynn H. Kaack Kelly Kochanski Alexandre Lacoste Kris Sankaran Andrew Slavin Ross Nikola Milojevic-Dupont Natasha Jaques Anna Waldman‐Brown	2
+	Semi-Supervised Classification with Graph Convolutional Networks	2016	Thomas Kipf Max Welling	2
+ PDF Chat	Split-Brain Autoencoders: Unsupervised Learning by Cross-Channel Prediction	2017	Richard Zhang Phillip Isola Alexei A. Efros	2
+ PDF Chat	Grad-CAM: Visual Explanations from Deep Networks via Gradient-Based Localization	2017	Ramprasaath R. Selvaraju Michael Cogswell Abhishek Das Ramakrishna Vedantam Devi Parikh Dhruv Batra	2
+ PDF Chat	Learning Diverse Image Colorization	2017	Aditya Deshpande Jiajun Lu Mao-Chuang Yeh Min Jin Chong David Forsyth	2
+	Semi-Supervised Classification with Graph Convolutional Networks	2016	Thomas Kipf Max Welling	2
+	Predicting Missing Values in Spatio-Temporal Remote Sensing Data	2018	Florian Gerber Rogier de Jong Michael E. Schaepman Gabriela Schaepman‐Strub Reinhard Furrer	1
+ PDF Chat	Cascaded Recurrent Neural Networks for Hyperspectral Image Classification	2019	Renlong Hang Qingshan Liu Danfeng Hong Pedram Ghamisi	1
+	XGBoost	2016	Tianqi Chen Carlos Guestrin	1
+ PDF Chat	Spectral-spatial classification of hyperspectral image using autoencoders	2013	Zhouhan Lin Yushi Chen Zhao Xing Gang Wang	1
+ PDF Chat	The color out of space: learning self-supervised representations for Earth Observation imagery	2021	Stefano Vincenzi Angelo Porrello Pietro Buzzega Marco Cipriano Pietro Fronte Roberto Cuccu Carla Ippoliti Annamaria Conte Simone Calderara	1
+	A multiscale graph convolutional network for change detection in homogeneous and heterogeneous remote sensing images	2021	Junzheng Wu Biao Li Yao Qin Weiping Ni Han Zhang Ruigang Fu Yuli Sun	1
+ PDF Chat	Unsupervised Visual Representation Learning by Context Prediction	2015	Carl Doersch Abhinav Gupta Alexei A. Efros	1
+	Tackling Climate Change with Machine Learning	2019	David Rolnick Priya L. Donti Lynn H. Kaack Kelly Kochanski Alexandre Lacoste Kris Sankaran Andrew Slavin Ross Nikola Milojevic-Dupont Natasha Jaques Anna Waldman‐Brown	1
+	What makes ImageNet good for transfer learning?	2016	Minyoung Huh Pulkit Agrawal Alexei A. Efros	1
+	Graph Attention Networks	2017	Petar Veličković Guillem Cucurull Arantxa Casanova Adriana Romero Píetro Lió Yoshua Bengio	1
+	Risk-based surveillance of avian influenza in switzerland : insights into poultry farm determinants and contact networks	2011	Lena Fiebig	1
+ PDF Chat	Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks	2016	Shaoqing Ren Kaiming He Ross Girshick Jian Sun	1
+	Spectral Networks and Locally Connected Networks on Graphs	2013	Joan Bruna Wojciech Zaremba Arthur Szlam Yann LeCun	1
+	Ranking via Sinkhorn Propagation	2011	Ryan P. Adams Richard S. Zemel	1
+	Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift	2015	Sergey Ioffe Christian Szegedy	1
+ PDF Chat	Concerning nonnegative matrices and doubly stochastic matrices	1967	Richard Sinkhorn Paul Knopp	1
+	A remote sensing and GIS-assisted landscape epidemiology approach to West Nile virus	2013	Sean G. Young Jason A. Tullis Jackson Cothren	1