Asfa Jamil, Chirag Padubidri, Savvas Karatsiolis, Indrajit Kalita, Aytac Guley and Andreas Kamilaris,
GAEA - A Country-Scale Geospatial
Environmental Modelling Tool: Towards a Digital Twin for Real Estate, Proceedings of the 37th edition of Environmental Informatics (EnviroInfo 2023), Munich, Germany, October 2023.
Chirag Padubidri, Andreas Kamilaris, Alexis Charalambous, Andreas Lanitis and Marios Constantinides,
The Be-Hive Project - Counting Bee Traffic based on Deep Learning and Pose Estimation, International Conference on Intelligent Systems (IntelliSys), Amsterdam, The Netherlands, September 2023.
Andreas Kamilaris, Jean-Baptiste Filippi, Chirag Padubidri and Savvas Karatsiolis,
Examining the potential of mobile applications to assist people to escape wildfires in real-time, Fire Safety Journal, vol. 136, no. 103747, April, 2023. https://doi.org/10.1016/j.firesaf.2023.103747
Savvas Karatsiolis and Andreas Kamilaris,
A model-agnostic approach for generating Saliency Maps to explain inferred decisions of Deep Learning Models, International Conference on Computer Vision Theory and Applications, Lisbon, Portugal, February, 2023.
Savvas Karatsiolis, Chirag Padubidri and Andreas Kamilaris,
Exploiting Digital Surface Models for Inferring Super-Resolution for Remotely Sensed Images, IEEE Transactions on Geoscience and Remote Sensing Journal, vol. 60, October, 2022. https://doi.org/10.1109/TGRS.2022.3209340.
Jesper C. Provoost, Andreas Kamilaris, Gyözö Gidófalvi, Geert J. Heijenk and Luc JJ Wismans,
Improving Operational Efficiency In EV Ridepooling Fleets By Predictive Exploitation of Idle Times, arXiv preprint arXiv:2208.14852, August, 2022.. Christos Laoudias, Marios Raspopoulos, Stefanos Christoforou and Andreas Kamilaris,
Privacy-Preserving Presence Tracing for Pandemics Via Machine-to-Machine Exposure Notifications, 2nd IEEE Intl. Workshop on ALgorithms for Indoor Architectures and Systems (ALIAS 2022), Proceedings of the 23rd IEEE International Conference on Mobile Data Management (MDM 2022), Paphos, Cyprus, June, 2022. Suzanne J. Spink, Jacob W. Kamminga and Andreas Kamilaris,
Improving the Annotation Efficiency for Animal Activity Recognition using Active Learning, Proceedings of the 12th International Conference on Methods and Techniques in Behavioral Research (Measuring Behavior 2022), Kraków, Poland, May, 2022. Chirag Padubidri, Andreas Kamilaris and Savvas Karatsiolis,
Accurate Detection of Illegal Dumping Sites Using High Resolution Aerial Photography and Deep Learning, Workshop on Pervasive Smart Sustainable Cities (PerAwareCity), Proc. of the 20th IEEE PerCom, Pisa, Italy, March 2022. Ildar Rakhmatuiln, Andreas Kamilaris and Christian Andreasen,
Deep Neural Networks to Detect Weeds from Crops in Agricultural Environments in Real-Time: A Review, In Remote Sensing, vol. 13, no. 21, January 2022. https://doi.org/10.3390/rs13214486 2021
Andreas Kamilaris and Francesc X.Prenafeta-Boldú,
Examining the perspectives of using manure from livestock farms as fertilizer to crop fields based on a realistic simulation, In Computers and Electronics in Agriculture journal, vol. 191, no. 106486, December 2021. https://doi.org/10.1016/j.compag.2021.106486 Jochem Postmes, Nicolò Botteghi, Beril Sirmacek and Andreas Kamilaris,
A System for Efficient Path Planning and Target Assignment for Robotic Swarms in Agriculture, Proc. of the 11th International Conference on the Internet of Things (IoT 2021), St. Gallen, Switzerland, November, 2021. Philippos Isaia, Christos Laoudias, Andreas Kamilaris and Christos Panayiotou,
CovTracer-EN: The Ongoing Journey of Covid-19 Digital Contact Tracing in Cyprus, Proceedings of the 11th International Conference on Indoor Positioning and Indoor Navigation (IPIN), Lloret de Mar, Spain, November 2021. Indrajit Kalita, Savvas Karatsiolis and Andreas Kamilaris,
Land Use Change Detection Using Deep Siamese Neural Networks and Weakly Supervised Learning, Proceedings of the 9th International Conference on Computer Analysis of Images and Patterns (CAIP), Nicosia, Cyprus, September 2021. Chirag Padubidri, Andreas Kamilaris, Savvas Karatsiolis and Jacob Hamminga,
Counting Sea Lions and Elephants from Aerial Photography using Deep Learning with Density Maps, In Animal Biotelemetry Journal, vol. 9, no. 27, August 2021. https://doi.org/10.1186/s40317-021-00247-x Jelise Schokker, Andreas Kamilaris and Savvas Karatsiolis,
A review on Key Performance Indicators for Climate Change, Proceedings of the 35th edition of Environmental Informatics (EnviroInfo 2021), Berlin, Germany, September 2021. Savvas Karatsiolis, Andreas Kamilaris and Ian Cole,
IMG2nDSM: Height Estimation from Single Airborne RGB Images with Deep Learning, In Remote Sensing Journal, vol. 13, no. 12, pp. 2417, June 2021. https://doi.org/10.3390/rs13122417 Andreas Kamilaris, Jean-Baptiste Filippi, Chirag Padubidri, Jesper Provoost, Savvas Karatsiolis, Ian Cole, Wouter Couwenbergh and Evi Demetriou,
EscapeWildFire: Assisting People to Escape Wildfires in Real-Time, 6th IEEE International Workshop on Pervasive Context-Aware Smart Cities and Intelligent Transport System (PerAwareCity), Proc. of PerCom 2021, Kassel, Germany, March 2021. Andreas Kamilaris, Volker Wohlgemuth, Kostas Karatzas and Ioannis Athanasiadis (editors),
Advances and New Trends in Environmental Informatics. Digital Twins for Sustainability Book, Springer-Verlag, March 2021. Savvas Karatsiolis and Andreas Kamilaris,
Converting Image Labels to Meaningful and Information-Rich Embeddings, Proc. of the 10th International Conference on Pattern Recognition Applications and Methods (ICPRAM 2021), Vienna, Austria, February 2021. Andreas Kamilaris, Volker Wohlgemuth, Kostas Karatzas and Ioannis Athanasiadis (editors),
Environmental Informatics: New perspectives in Environmental Information Systems: Transport, Sensors, Recycling Book, Adjunct Proceedings of the 34th edition of EnviroInfo, Shaker Verlag, January,2021. Andreas Kamilaris, Ian Cole and Francesc X. Prenafeta-Boldú.
Blockchain in agriculture Book Chapter. Food Technology Disruptions Book, Elsevier, Charis Galanakis (Editor), January 2021. (ISBN: 9780128214749) 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 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-Boldu,
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, 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. (Online event) 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.