Publications

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C
Capturing Frame-Like Object Descriptors in Human Augmented Mapping, Faridghasemnia, M., Vanzo A., and Nardi D. , Volume {11946}, Number {False}, p.392-404, (2019)
Capturing Frame-Like Object Descriptors in Human Augmented Mapping, Faridghasemnia, M., Vanzo A., and Nardi D. , Volume {11946}, Number {False}, p.392-404, (2019)
Companion Robots: The Hallucinatory Danger of Human-Robot Interactions, P. Lucidi, Bisconti, and Nardi D. , Volume {False}, Number {False}, p.17-22, (2018)
Cooperative Multi-agent Deep Reinforcement Learning in a 2 Versus 2 Free-Kick Task, Ocana, J. M. Catacor, Riccio F., Capobianco R., and Nardi D. , Volume {11531}, Number {False}, p.44-57, (2019)
Cooperative multi-agent deep reinforcement learning in soccer domains, Ocana, Jim Martin Cat, Capobianco R., Riccio F., and Nardi D. , Volume {4}, Number {False}, p.1865-1867, (2019)
Cooperative multi-agent deep reinforcement learning in soccer domains, Ocana, Jim Martin Cat, Capobianco R., Riccio F., and Nardi D. , Volume {4}, Number {False}, p.1865-1867, (2019)
Cooperative multi-agent deep reinforcement learning in soccer domains, Ocana, Jim Martin Cat, Capobianco R., Riccio F., and Nardi D. , Volume {4}, Number {False}, p.1865-1867, (2019)
Coordination and Cooperation in Robot Soccer, Suriani, V., Antonioni E., Riccio F., and Nardi D. , Volume {False}, Number {False}, p.215-227, (2021)
D
Data Augmentation Using GANs for Crop/Weed Segmentation in Precision Farming, Fawakherji, M., Potena C., Prevedello I., Pretto A., Bloisi D. D., and Nardi D. , Volume {False}, Number {False}, p.279-284, (2020)
Deep Convolutional Pixel-wise Labeling for Skin Lesion Image Segmentation, Youssef, A., Bloisi D. D., Muscio M., Pennisi A., Nardi D., and Facchiano A. , Volume {False}, Number {False}, p.1-6, (2018)
Deep learning-based pixel-wise lesion segmentation on oral squamous cell carcinoma images, Martino, F., Bloisi D. D., Pennisi A., Fawakherji M., Ilardi G., Russo D., Nardi D., Staibano S., and Merolla F. , APPLIED SCIENCES, Volume {10}, Number {22}, p.1-14, (2020)
Deep learning-based pixel-wise lesion segmentation on oral squamous cell carcinoma images, Martino, F., Bloisi D. D., Pennisi A., Fawakherji M., Ilardi G., Russo D., Nardi D., Staibano S., and Merolla F. , APPLIED SCIENCES, Volume {10}, Number {22}, p.1-14, (2020)
Developing a Questionnaire to Evaluate Customers' Perception in the Smart City Robotic Challenge, Wang, L., Iocchi L., Marrella A., and Nardi D. , Volume {False}, Number {False}, p.1-6, (2019)
A Discussion about Explainable Inference on Sequential Data via Memory-Tracking, La Rosa, B., Capobianco R., and Nardi D. , Volume {3078}, Number {False}, p.33-44, (2022)
A Discussion about Explainable Inference on Sequential Data via Memory-Tracking, La Rosa, B., Capobianco R., and Nardi D. , Volume {3078}, Number {False}, p.33-44, (2022)
Dynamic UAV swarm deployment for non-uniform coverage: Robotics track, Albani, D., Manoni T., Nardi D., and Trianni V. , Volume {1}, Number {False}, p.523-531, (2018)
E
Emotional machines: The next revolution, Franzoni, V., Milani A., Nardi D., and Vallverdu J. , WEB INTELLIGENCE, Volume {17}, Number {1}, p.1-7, (2019)
F
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)
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)
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)
Field coverage and weed mapping by UAV swarms, Albani, D., Nardi D., and Trianni V. , Volume {False}, Number {False}, p.4319-4325, (2017)
Field coverage and weed mapping by UAV swarms, Albani, D., Nardi D., and Trianni V. , Volume {False}, Number {False}, p.4319-4325, (2017)
Field coverage for weed mapping: Toward experiments with a UAV swarm, Albani, D., Manoni T., Arik A., Nardi D., and Trianni V. , Volume {289}, Number {False}, p.132-146, (2019)
On Field Gesture-Based Robot-to-Robot Communication with NAO Soccer Players, Di Giambattista, V., Fawakherji M., Suriani V., Bloisi D. D., and Nardi D. , Volume {11531}, Number {False}, p.367-375, (2019)
The future of Cybersecurity in Italy: Strategic focus area, Baldoni, R., De Nicola R., Prinetto P., Anglano C., Aniello L., Antinori A., Armando A., Aversa R., Baldi Marco, Barili A., et al. , Volume {False}, Number {False}, p.1-228, (2018)
L
LOOP: Iterative learning for optimistic planning on robots, Riccio, F., Capobianco R., and Nardi D. , ROBOTICS AND AUTONOMOUS SYSTEMS, Volume {136}, Number {False}, p.103693-False, (2021)
S
Simulation of near infrared sensor in unity for plant-weed segmentation classification, Carbone, C., Potena C., and Nardi D. , Proceedings of the 10th International Conference on Simulation and Modeling Methodologies, Technologies and Applications, Volume {1}, Number {Proceedings of the 10th International Conference on Simulation and Modeling Methodologies, Technologies and Applications}, p.81-90, (2020)

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