Publications

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Therapeutic educational robot enhancing social interactions in the management of obesity, Prosperi, E., Guidi G., Napoli C., Gnessi L., and Iocchi L. , FRONTIERS IN ROBOTICS AND AI, Volume {9}, Number {False}, p.895039-False, (2022)
Therapeutic educational robot enhancing social interactions in the management of obesity, Prosperi, E., Guidi G., Napoli C., Gnessi L., and Iocchi L. , FRONTIERS IN ROBOTICS AND AI, Volume {9}, Number {False}, p.895039-False, (2022)
Deep Spatial Affordance Hierarchy: Spatial Knowledge Representation for Planning in Large-scale Environments, Pronobis, Andrzej, Riccio Francesco, and Rao Rajesh P. N. , (2017)
Explainable AI in drug discovery: self-interpretable graph neural network for molecular property prediction using concept whitening, Proietti, Michela, Ragno Alessio, La Rosa Biagio, Ragno Rino, and Capobianco Roberto , MACHINE LEARNING, Volume {False}, Number {False}, p.False-False, (2023)
Memory Replay For Continual Learning With Spiking Neural Networks, Proietti, Michela, Ragno Alessio, and Capobianco Roberto , Volume {False}, Number {False}, p.1-6, (2023)
Ligand-based and structure-based studies to develop predictive models for SARS-CoV-2 main protease inhibitors through the 3d-qsar.com portal}, Proia, Eleonora, Ragno Alessio, Antonini Lorenzo, Sabatino Manuela, Mladenović Milan, Capobianco Roberto, and Ragno Rino , JOURNAL OF COMPUTER-AIDED MOLECULAR DESIGN, Volume {36}, Number {7}, p.483-505, (2022)
Ligand-based and structure-based studies to develop predictive models for SARS-CoV-2 main protease inhibitors through the 3d-qsar.com portal}, Proia, Eleonora, Ragno Alessio, Antonini Lorenzo, Sabatino Manuela, Mladenović Milan, Capobianco Roberto, and Ragno Rino , JOURNAL OF COMPUTER-AIDED MOLECULAR DESIGN, Volume {36}, Number {7}, p.483-505, (2022)
Ligand-based and structure-based studies to develop predictive models for SARS-CoV-2 main protease inhibitors through the 3d-qsar.com portal}, Proia, Eleonora, Ragno Alessio, Antonini Lorenzo, Sabatino Manuela, Mladenović Milan, Capobianco Roberto, and Ragno Rino , JOURNAL OF COMPUTER-AIDED MOLECULAR DESIGN, Volume {36}, Number {7}, p.483-505, (2022)
Ligand-based and structure-based studies to develop predictive models for SARS-CoV-2 main protease inhibitors through the 3d-qsar.com portal}, Proia, Eleonora, Ragno Alessio, Antonini Lorenzo, Sabatino Manuela, Mladenović Milan, Capobianco Roberto, and Ragno Rino , JOURNAL OF COMPUTER-AIDED MOLECULAR DESIGN, Volume {36}, Number {7}, p.483-505, (2022)
Ligand-based and structure-based studies to develop predictive models for SARS-CoV-2 main protease inhibitors through the 3d-qsar.com portal}, Proia, Eleonora, Ragno Alessio, Antonini Lorenzo, Sabatino Manuela, Mladenović Milan, Capobianco Roberto, and Ragno Rino , JOURNAL OF COMPUTER-AIDED MOLECULAR DESIGN, Volume {36}, Number {7}, p.483-505, (2022)
Disambiguating Localization Symmetry through a Multi-Clustered Particle Filtering, Previtali, Fabio, Gemignani Guglielmo, Iocchi Luca, and Nardi Daniele , IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems, p.283-288, (2015)
Predicting Future Agent Motions for Dynamic Environments, Previtali, Fabio, Bordallo Alejandro, Iocchi Luca, and Ramamoorthy Subramanian , 15th {IEEE} International Conference on Machine Learning and Applications, {ICMLA} 2016, Anaheim, CA, USA, December 18-20, 2016, p.94–99, (2016)
Predicting Future Agent Motions for Dynamic Environments, Previtali, Fabio, Bordallo Alejandro, Iocchi Luca, and Ramamoorthy Subramanian , Volume {False}, Number {False}, p.94-99, (2016)
PTracking: Distributed Multi-Agent Multi-Object Tracking through Multi-Clustered Particle Filtering, Previtali, Fabio, and Iocchi Luca , Volume {False}, Number {False}, p.110-115, (2015)
IRL-based Prediction of Goals for Dynamic Environments, Previtali, Fabio, Bordallo Alejandro, and Ramamoorthy Subramanian , IEEE International Conference on Robotics and Automation, (2015)
Fusione di dati distribuita per il tracciamento di oggetti multipli da parte di multipli agenti, Previtali, Fabio , (2011)
A distributed approach for real-time multi-camera multiple object tracking, Previtali, Fabio, Bloisi Domenico D., and Iocchi Luca , Machine Vision and Applications, p.1–10, (2017)
PTracking: Distributed Multi-Agent Multi-Object Tracking through Multi-Clustered Particle Filtering, Previtali, Fabio, and Iocchi Luca , IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems, p.110-115, (2015)
Fusione di dati distribuita per il tracciamento di oggetti multipli da parte di multipli agenti, Previtali, Fabio , (2011)
Disambiguating localization symmetry through a Multi-Clustered Particle Filtering, Previtali, Fabio, Gemignani Guglielmo, Iocchi Luca, and Nardi Daniele , Volume {False}, Number {False}, p.283-288, (2015)
A distributed approach for real-time multi-camera multiple object tracking, Previtali, Fabio, Bloisi Domenico Daniele, and Iocchi Luca , MACHINE VISION AND APPLICATIONS, Volume {28}, Number {2-3}, p.421-430, (2017)
Building an Aerial-Ground Robotics System for Precision Farming: An Adaptable Solution, Pretto, A., Aravecchia S., Burgard W., Chebrolu N., Dornhege C., Falck T., Fleckenstein F. V., Fontenla A., Imperoli M., Khanna R., et al. , IEEE ROBOTICS AND AUTOMATION MAGAZINE, Volume {False}, Number {False}, p.False-False, (2020)
Calibration and performance evaluation of low-cost IMUs, Pretto, A., and Grisetti G. , Proc. of: 20th IMEKO TC4 International Symposium, p.429–434, (2014)
Building an Aerial-Ground Robotics System for Precision Farming: An Adaptable Solution, Pretto, A., Aravecchia S., Burgard W., Chebrolu N., Dornhege C., Falck T., Fleckenstein F. V., Fontenla A., Imperoli M., Khanna R., et al. , IEEE ROBOTICS AND AUTOMATION MAGAZINE, Volume {False}, Number {False}, p.False-False, (2020)
Fast and accurate crop and weed identification with summarized train sets for precision agriculture, Potena, C., Nardi D., and Pretto A. , Volume {531}, Number {False}, p.105-121, (2017)
Joint Vision-Based Navigation, Control and Obstacle Avoidance for UAVs in Dynamic Environments, Potena, Ciro, Nardi Daniele, and Pretto Alberto , Volume {False}, Number {False}, p.1-7, (2019)
Effective target aware visual navigation for UAVs, Potena, Ciro, Nardi Daniele, and Pretto Alberto , Volume {False}, Number {False}, p.False-False, (2017)
Joint Vision-Based Navigation, Control and Obstacle Avoidance for UAVs in Dynamic Environments, Potena, Ciro, Nardi Daniele, and Pretto Alberto , Volume {False}, Number {False}, p.1-7, (2019)
Robotics for Precision Agriculture @DIAG, Potena, Ciro, Fawakherji Mulham, Carbone Carlos, Imperoli Marco, Nardi Daniele, and Pretto Alberto , Italian Conference on Robotics and Intelligent Machines(I-RIM), (2019)
Effective target aware visual navigation for UAVs, Potena, Ciro, Nardi Daniele, and Pretto Alberto , Volume {False}, Number {False}, p.False-False, (2017)
Non-linear model predictive control with adaptive time-mesh refinement, Potena, Ciro, Corte Bartolomeo Della, Nardi Daniele, Grisetti Giorgio, and Pretto Alberto , Volume {False}, Number {False}, p.74-80, (2018)
Fast and Accurate Crop and Weed Identification with Summarized Train Sets for Precision Agriculture, Potena, Ciro, Nardi Daniele, and Pretto Alberto , Proc. of 14th International Conference on Intelligent Autonomous Systems (IAS-14), (2016)
Robotics for Precision Agriculture @DIAG, Potena, Ciro, Fawakherji Mulham, Carlos Carbone, Imperoli Marco, Nardi Daniele, and Pretto Alberto , Volume {False}, Number {False}, p.False-False, (2019)
Non-linear model predictive control with adaptive time-mesh refinement, Potena, Ciro, Corte Bartolomeo Della, Nardi Daniele, Grisetti Giorgio, and Pretto Alberto , Volume {False}, Number {False}, p.74-80, (2018)
Fast and accurate crop and weed identification with summarized train sets for precision agriculture, Potena, C., Nardi D., and Pretto A. , Volume {531}, Number {False}, p.105-121, (2017)
AgriColMap: Aerial-Ground Collaborative 3D Mapping for Precision Farming, Potena, Ciro, Khanna Raghav, Nieto Juan, Siegwart Roland, Nardi Daniele, and Pretto Alberto , IEEE ROBOTICS AND AUTOMATION LETTERS, Volume {4}, Number {2}, p.1085-1092, (2019)
Non-linear model predictive control with adaptive time-mesh refinement, Potena, Ciro, Corte Bartolomeo Della, Nardi Daniele, Grisetti Giorgio, and Pretto Alberto , Volume {False}, Number {False}, p.74-80, (2018)
AgriColMap: Aerial-Ground Collaborative 3D Mapping for Precision Farming, Potena, Ciro, Khanna Raghav, Nieto Juan, Siegwart Roland, Nardi Daniele, and Pretto Alberto , IEEE Robotics and Automation Letters, Volume 4, Number 2, p.1085–1092, (2019)
Fast and accurate crop and weed identification with summarized train sets for precision agriculture, Potena, C., Nardi D., and Pretto A. , Volume {531}, Number {False}, p.105-121, (2017)
Plane extraction for indoor place recognition, Potena, Ciro, Pretto Alberto, Bloisi Domenico Daniele, and Nardi Daniele , Volume {9386}, Number {False}, p.530-540, (2015)
Robotics for Precision Agriculture @DIAG, Potena, Ciro, Fawakherji Mulham, Carlos Carbone, Imperoli Marco, Nardi Daniele, and Pretto Alberto , Volume {False}, Number {False}, p.False-False, (2019)
Robotics for Precision Agriculture @DIAG, Potena, Ciro, Fawakherji Mulham, Carlos Carbone, Imperoli Marco, Nardi Daniele, and Pretto Alberto , Volume {False}, Number {False}, p.False-False, (2019)
Plane Extraction for Indoor Place Recognition, Potena, Ciro, Pretto Alberto, Bloisi Domenico D., and Nardi Daniele , Advanced Concepts for Intelligent Vision Systems, Volume 9386, p.530-540, (2015)
Joint Vision-Based Navigation, Control and Obstacle Avoidance for UAVs in Dynamic Environments, Potena, Ciro, Nardi Daniele, and Pretto Alberto , Volume {False}, Number {False}, p.1-7, (2019)
AgriColMap: Aerial-Ground Collaborative 3D Mapping for Precision Farming, Potena, Ciro, Khanna Raghav, Nieto Juan, Siegwart Roland, Nardi Daniele, and Pretto Alberto , IEEE ROBOTICS AND AUTOMATION LETTERS, Volume {4}, Number {2}, p.1085-1092, (2019)
A ROS-Based Framework for Simulation and Benchmarking of Multi-robot Patrolling Algorithms, Portugal, D., Iocchi L., and Farinelli A. , Volume {False}, Number {False}, p.3-28, (2019)
Analysis pre and post covid-19 pandemic rorschach test data of using em algorithms and gmm models, Ponzi, Valerio, Russo Samuele, Agata Wajda, Rafa Brociek, and Napoli Christian , Volume {3360}, Number {False}, p.55-63, (2022)
Psychoeducative social robots for an healthier lifestyle using artificial intelligence: a case-study, Ponzi, Valerio, Russo Samuele, Bianco Valerio, Napoli Christian, and Agata Wajda , Volume {3118}, Number {False}, p.26-33, (2021)
A Real-time Hand Gesture Recognition System for Human-Computer and Human-Robot Interaction, Ponzi, V., Iacobelli E., Napoli C., and Starczewski J. , Volume {3398}, Number {False}, p.52-58, (2022)
A Comparative Study of Machine Learning Approaches for Autism Detection in Children from Imaging Data, Ponzi, V., Russo S., Wajda A., and Napoli C. , Volume {3398}, Number {False}, p.9-15, (2022)

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