Pubblicazioni

2023

  1. Andrea Pinna and Luca Massidda, "A Complete and High-Resolution Estimate of Sardinia’s Rooftop Photovoltaic Potential" Applied Sciences 13, 2023 no. 1: 7. https://doi.org/10.3390/app13010007

2022

  1. Marco Manolo Manca and  Luca Massidda, "Deep learning based non-intrusive load monitoring with low resolution data from smart meters", Commun. Appl. Ind. Math. 13 (1), 2022, 39–56, DOI: 10.2478/caim-2022-0004.
  2. M. Cogoni, G. Busonera, and F. Versaci, “Estimating peak-hour urban traffic congestion,” in Complex Networks 2022, ser. Complex Networks & Their Applications XI: Proceedings of The Eleventh International Conference on Complex Networks and their Applications: COMPLEX NETWORKS 2022, H. Cherifi, R. Mantegna, L. Rocha, C. Cherifi, and S. Miccichè,  Eds., vol. 1. Springer, 2022, to appear.
  3. M. Marrocu and L. Massidda, “Coupling a neural network with a spatial dowscaling procedure to improve probabilistic nowcast for urban rain radars,” under review in: Remote Sensing, MDPI, 2022.
  4. S. Farris, M. Marrocu, A. Seoni., S. Urru, M. G. Badas, L.Massidda, S. Manca, G. Pusceddu, F. Viola, and R. Deidda, “A downscaling-based nowcasting procedure by merging radar data with different space-time resolution,” in STAHY2022, 12th International Workshop on Statistical Hydrology, 17-20 September 2022, Chia, Sardinia (Italy), 2022.
  5. S. Korjani, F. Casu, A. Damiano, V. Pilloni, and A. Serpi, “An online energy management tool for sizing integrated PV-BESS systems for residential prosumers,” Applied Energy, vol. 313, p. 118765, 2022.

2021

  1. M. Cogoni and G. Busonera, “Stability of traffic breakup patterns in urban networks,” Physical Review E Rapid Communications, vol. 104, no. 1, p. L012301, 2021.
  2. R. Deidda, S. Farris, M. Badas, , M. Marrocu, L. Massidda, A. Seoni, S. Urru, and F. Viola, A downscaling framework for precipitation nowcasting by merging radar retrievals at different scales and resolutions, Proc. EGU General Assembly, 2021. https://doi.org/10.5194/egusphere-egu21-11062
  3. Fabio Bettio, Moonisa Ahsan, Fabio Marton, and Enrico Gobbetti. A novel approach for exploring annotated data with interactive lenses. Computer Graphics Forum, 40(3), 2021. Proc. EUROVIS 2021. To appear.
  4. Alberto Jaspe Villanueva, Moonisa Ahsan, Ruggero Pintus, Andrea Giachetti, and Enrico Gobbetti. Web-based Exploration of Annotated Multi-Layered Relightable Image Models. ACM Journal on Computing and Cultural Heritage, 14(2): 24:1-24:31, May 2021. https://doi.org/10.1145/3430846.

2020

  1. Giovanni Pintore, Marco Agus, and Enrico Gobbetti. AtlantaNet: Inferring the 3D Indoor Layout from a Single 360 Image beyond the Manhattan World Assumption. In Proc. ECCV, August 2020: 432-448. doi: 10.1007/978-3-030-58598-3_26
  2. Giovanni Pintore, Claudio Mura, Fabio Ganovelli, Lizeth Fuentes-Perez, Renato Pajarola, and Enrico Gobbetti. Automatic 3D Reconstruction of Structured Indoor Environments. In SIGGRAPH 2020 Courses. Pages 10:1-10:218, August 2020. https://doi.org/10.1145/3388769.3407469.
  3. Casu F., Korjani S., Pilloni V., Serpi A., Damiano A., Giusto D., Designing Nearly Zero Energy Buildings: a Recommendation Tool for Optimal Sizing of Renewable Energy Source Systems, in Proc. IEEE 2nd International Conference on Industrial Electronics for Sustainable Energy Systems (IESES 2020), Cagliari (Italy), Sept. 1-3, 2020, pp. 305-310, doi: 10.1109/IESES45645.2020.9210701.
  4. Korjani S., Serpi A., Damiano A., A Genetic Algorithm Approach for Sizing Integrated PV-BESS Systems for Prosumers, in Proc. IEEE 2nd International Conference on Industrial Electronics for Sustainable Energy Systems (IESES 2020), Cagliari (Italy), Sept. 1-3, 2020, pp. 151-156, doi: 10.1109/IESES45645.2020.9210700.
  5. Massidda L., Marrocu M., Manca S. Non-intrusive load disaggregation via a fully convolutional neural network: improving the accuracy on unseen household, 2020 2nd IEEE International Conference on Industrial Electronics for Sustainable Energy Systems (IESES), Cagliari, Italy, 2020, pp. 317-322, doi: 10.1109/IESES45645.2020.9210661.
  6. Pinna A., Massidda L. A Procedure for Complete Census Estimation of Rooftop Photovoltaic Potential in Urban Areas. Smart Cities 2020, 3, 873-893 (open access).
  7. Marrocu M, Massidda L. Performance Comparison between Deep Learning and Optical Flow-Based Techniques for Nowcast Precipitation from Radar Images. Forecasting. 2020; 2(2):194-210 (open access).
  8. Gaggero M., Busonera G., Pireddu L., Zanetti G, TDM Edge Gateway: A Flexible Microservice-Based Edge Gateway Architecture for Heterogeneous Sensors. In: Schwardmann U. et al. (eds) Euro-Par 2019: Parallel Processing Workshops. Euro-Par 2019. Lecture Notes in Computer Science, vol 11997. Springer, Cham, (First Online 29 May 2020), https://doi.org/10.1007/978-3-030-48340-1_10.
  9. Jose Díaz, Fabio Marton, Enrico Gobbetti, Interactive spatio-temporal exploration of massive time-Varying rectilinear scalar volumes based on a variable bit-rate sparse representation over learned dictionaries, Computers & Graphics, Volume 88, 2020, Pages 45-56, ISSN 0097-8493, https://doi.org/10.1016/j.cag.2020.03.002.
  10. Pintore, Giovanni and Mura, Claudio and Ganovelli, Fabio and Fuentes-Perez, Lizeth Joseline and Pajarola, Renato and Gobbetti, Enrico. State-of-the-art in Automatic 3D Reconstruction of Structured Indoor Environments, Computer Graphics Forum, 39(2) 2020, The Eurographics Association and John Wiley & Sons Ltd., Doi: 10.1111/cgf.14021.
  11. Massidda, L.; Marrocu, M.; Manca, S. Non-Intrusive Load Disaggregation by Convolutional Neural Network and Multilabel Classification. Appl. Sci. 2020, 10, 1454 (open access).

2019

  1. Piras M.E., Pireddu L., Moro M., Zanetti G. (2019) Container Orchestration on HPC Clusters. In: Weiland M., Juckeland G., Alam S., Jagode H. (eds) High Performance Computing. ISC High Performance 2019. Lecture Notes in Computer Science, vol 11887. Springer, Cham. https://doi.org/10.1007/978-3-030-34356-9_3
  2. Merlin, Gabriele, Ortu Daniele, Cherchi Gianmarco and Scateni Riccardo. Design and Implementation of a Visualization Tool for the in-depth Analysis of the Domestic Electricity Consumption. In Smart Tools and Applications in Computer Graphics - Eurographics Italian Chapter Conference, November 2019. Agus, Marco and Corsini, Massimiliano and Pintus, Ruggero (Editors). Doi: https://doi.org/10.2312/stag.20191368 (poster and demo).
  3. Jose Díaz, Fabio Marton, and Enrico Gobbetti. MTV-Player: Interactive Spatio-Temporal Exploration of Compressed Large-Scale Time-Varying Rectilinar Scalar Volumes. In Smart Tools and Applications in Computer Graphics - Eurographics Italian Chapter Conference, November 2019. Agus, Marco and Corsini, Massimiliano and Pintus, Ruggero (Editors). Doi: https://doi.org/10.2312/stag.20191358
  4. Alberto Jaspe Villanueva, Ruggero Pintus, Andrea Giachetti, and Enrico Gobbetti. Web-based Multi-layered Exploration of Annotated Image-based Shape and Material Models. In The 16th Eurographics Workshop on Graphics and Cultural Heritage, November 2019. S. Rizvic and K. Rodriguez Echavarria (Editors). Doi: https://doi.org/10.2312/gch.20191346
  5. Fabio Bettio, Giovanni Busonera, Marco Cogoni, Roberto Deidda, Mauro Del Rio, Massimo Gaggero, Enrico Gobbetti, Simone Leo, Simone Manca, Marino Marrocu, Luca Massidda, Fabio Marton, Marco Enrico Piras, Luca Pireddu, Gabriella Pusceddu, Alessandro Seoni, and Gianluigi Zanetti. TDM: un sistema aperto per l'acquisizione di dati, l'analisi e la simulazione su scala metropolitana. In Proc. GARR 2019 - Selected Papers, 2019 (video on GARR TV).
  6. Giovanni Pintore, Fabio Ganovelli, Alberto Jaspe Villanueva, and Enrico Gobbetti. Automatic modeling of cluttered multi-room floor plans from panoramic images. Computers Graphics Forum, 38(7), 2019.
  7. Enrico Gobbetti. Creation and Exploration of Reality-based Models. Computers Graphics Forum, 38(2): xvii, 2019.
  8. Fabio Marton, Marco Agus, and Enrico Gobbetti. A framework for GPU-accelerated exploration of massive time-varying rectilinear scalar volumes. Computer Graphics Forum, 38:53-66, 2019. Doi:10.1111/cgf.13671

2018

  1. Luca Massidda, Marino Marrocu. Smart Meter Forecasting from One Minute to One Year Horizons. Energies 2018, 11, 3520 (open access).
  2. Marco Agus, Enrico Gobbetti, Fabio Marton, Giovanni Pintore, and Pere-Pau Vázquez. Mobile Graphics. In 3DV Tutorials, September 2018. To appear.
  3. Luca Massidda, Marino Marrocu. Quantile Regression Post-Processing of Weather Forecast for Short-Term Solar Power Probabilistic Forecasting. Energies 2018, 11, 1763 (open access).
  4. S. Farris, A. Seoni, D. Ruggiu, S. Bertoldo, G. Perona, M. Allegretti, M. Marrocu, M.G. Badas, F. Viola, R. Deidda. First analyses of rainfall patterns retrieved by a newly installed X-band radar over the Metropolitan area of Cagliari (Sardinia, Italy). In 11th International Workshop on Precipitation in Urban Areas, Posters, December 2018. Poster
  5. Ulf Assarsson, Markus Billeter, Dan Dolonius, Elmar Eisemann, Alberto Jaspe Villanueva, Leonardo Scandolo, and Erik Sintor. Voxel DAGs and Multiresolution Hierarchies: From Large-Scale Scenes to Pre-computed Shadows. In Tobias Ritschel and Alexandru Telea, editors, Proc. EUROGRAPHICS Tutorials, April 2018. https://diglib.eg.org/handle/10.2312/egt20181028

2017

  1. Marco Agus, Enrico Gobbetti, Fabio Marton, Giovanni Pintore, and Pere-Pau Vázquez. 2017. Mobile Graphics. In SIGGRAPH Asia 2017 Courses (SA '17). ACM, New York, NY, USA, Article 12, 259 pages. DOI: https://doi.org/10.1145/3134472.3134483
  2. Marco Agus, Fabio Marton, Fabio Bettio, Markus Hadwiger, and Enrico Gobbetti. Data-driven analysis of virtual 3D exploration of a large sculpture collection in real-world museum exhibitions. ACM Journal on Computing and Cultural Heritage, 11(1): 2:1-2:20, December 2017. https://doi.org/10.1145/3099618.