A Machine Learning Approach to Monitor Air Quality from Traffic and Weather Data

Claudio Rossi, Alessandro Farasin, Giacomo Falcone, Carlotta Castelluccio. A Machine Learning Approach to Monitor Air Quality from Traffic and Weather Data. In Emilio Calvanese Strinati, Dimitris Charitos, Ioannis Chatzigiannakis, Paolo Ciampolini, Francesca Cuomo, Paolo Di Lorenzo, Damianos Gavalas, Sten Hanke, Andreas Komninos, Georgios Mylonas, editors, Joint Proceeding of the Poster and Workshop Sessions of AmI-2019, the 2019 European Conference on Ambient Intelligence, Rome, Italy, November 13-15, 2019. Volume 2492 of CEUR Workshop Proceedings, pages 66-74, CEUR-WS.org, 2019. [doi]

@inproceedings{RossiFFC19a,
  title = {A Machine Learning Approach to Monitor Air Quality from Traffic and Weather Data},
  author = {Claudio Rossi and Alessandro Farasin and Giacomo Falcone and Carlotta Castelluccio},
  year = {2019},
  url = {http://ceur-ws.org/Vol-2492/paper8.pdf},
  researchr = {https://researchr.org/publication/RossiFFC19a},
  cites = {0},
  citedby = {0},
  pages = {66-74},
  booktitle = {Joint Proceeding of the Poster and Workshop Sessions of AmI-2019, the 2019 European Conference on Ambient Intelligence, Rome, Italy, November 13-15, 2019},
  editor = {Emilio Calvanese Strinati and Dimitris Charitos and Ioannis Chatzigiannakis and Paolo Ciampolini and Francesca Cuomo and Paolo Di Lorenzo and Damianos Gavalas and Sten Hanke and Andreas Komninos and Georgios Mylonas},
  volume = {2492},
  series = {CEUR Workshop Proceedings},
  publisher = {CEUR-WS.org},
}