2021

• Andreas Kamilaris and Nicolò Botteghi, The Penetration of Internet of Things in Robotics: Towards a Web of Robotic Things, In Journal of Ambient Intelligence and Smart Environments (JAISE), vol. 12, no. 6, pp. 491-512, January 2021.

2020

• Jesper Provoost, Andreas KamilarisC and Kamilaris, Luc Wismans, Sander van der Drift and Maurice van Keulen, Predicting Parking Occupancy via Machine Learning in the Web of Things, In Internet of Things Journal, vol. 12, no. 100301, December 2020.
• Andreas Kamilaris, Immaculada Funes Mesa, Robert Savé, Felicidad De Herralde and Francesc X. Prenafeta-Boldú, Can animal manure be used to increase soil organic carbon stocks in the Mediterranean as a mitigation climate change strategy?, In Proc. of EnviroInfo, Nicosia, Cyprus, September 2020.
• Sarah Kentsch, Savvas Karatsiolis, Andreas Kamilaris, Luca Tomhave and Maximo Larry Lopez Caceres, Identification of Tree Species in Japanese Forests based on Aerial Photography and Deep Learning, In Proc. of EnviroInfo, Nicosia, Cyprus, September 2020.
• Andreas Kamilaris,
  Andries Engelbrecht, Andreas Pitsillides
  and Francesc X. Prenafeta-Boldu, Transfer of Manure as Fertilizer from Livestock Farms to Crop Fields: The Case of Catalonia, Computers and Electronics in Agriculture Journal, vol. 175, no. 105550, August 2020.
• Nicolò Botteghi and Andreas Kamilaris, Lior Sinai and Beril Sirmacek, Multi-Agent Path Planning of Robotic Swarms in Agricultural Fields, XXIVth International Society for Photogrammetry and Remote Sensing (ISPRS) Congress, June 2020.
• Andreas Kamilaris, Andries Engelbrecht, Andreas Pitsillides and Francesc X. Prenafeta-Boldu, Transfer of Manure from Livestock Farms to Crop Fields as Fertilizer using an Ant Inspired Approach, XXIVth International Society for Photogrammetry and Remote Sensing (ISPRS) Congress, June 2020.
• Jesper Provoost, Luc Wismans, Sander Van der Drift, Andreas Kamilaris and Maurice Van Keulen. Short Term Prediction of Parking Area states Using Real Time Data and Machine Learning Techniques. In Proc. of Transportation Research Board 2020 Annual Meeting, Washington D.C., USA, January 2020.

2019

• Savvas Karatsiolis and Christos N. Schizas, Conditional Generative Denoising Autoencoder, IEEE Transactions on Neural Networks and Learning Systems, December 2019.
• Carlos Granell, Andreas Kamilaris, Alexander Kotsev, Frank O. Ostermann and Sergio Trilles. Internet of Things in Geospatial Analytics (Book Chapter). Manual of Digital Earth, Springer. Huadong Guo, Michael F. Goodchild, and Alessandro Annoni (Editors), November 2019. (ISBN: 978-981-329-915-3)
• Andreas Kamilaris, Agusti Fonts and Francesc X. Prenafeta-Boldú. The Rise of Blockchain Technology in Agriculture and Food Supply Chains. In Trends in Food Science & Technology Journal, vol. 91, no. 1, pp. 640-652, September 2019.
• Andreas Kamilaris, Corjan van den Brik and Savvas Karatsiolis. Training Deep Learning Models via Synthetic Data: Application in Unmanned Aerial Vehicles. In the Workshop on Deep-learning based computer vision for UAV, Proc. of CAIP 2019, Salerno, Italy, September 2019.
• Min Ji, Lanfa Liu, Runlin Du and Manfred F. Buchroithner, A comparative study of texture and convolutional neural network features for detecting collapsed buildings after earthquakes using pre-and post-event satellite imagery, Remote Sensing 11(10), p.1202, May 2019.
• Yunyun Dong, Weili Jiao, Tengfei Long, Lanfa Liu, Guojin He, Chengjuan Gong and Yantao Guo, Local deep descriptor for remote sensing image feature matching, Remote Sensing 11(4), p. 430, February 2019.