5.1k citations · 6.5k across the 21 of their papers we have counts for
22 papers
A model-agnostic approach for generating Saliency Maps to explain inferred decisions of Deep Learning Models
Savvas Karatsiolis, Andreas Kamilaris
The widespread use of black-box AI models has raised the need for algorithms and methods that explain the decisions made by these models. In recent years, the AI research community…
Improving Operational Efficiency In EV Ridepooling Fleets By Predictive Exploitation of Idle Times
Jesper C. Provoost, Andreas Kamilaris, Gyözö Gidófalvi +2
In ridepooling systems with electric fleets, charging is a complex decision-making process. Most electric vehicle (EV) taxi services require drivers to make egoistic decisions, lea…
Exploiting Digital Surface Models for Inferring Super-Resolution for Remotely Sensed Images
Savvas Karatsiolis, Chirag Padubidri, Andreas Kamilaris
Despite the plethora of successful Super-Resolution Reconstruction (SRR) models applied to natural images, their application to remote sensing imagery tends to produce poor results…
Focusing on Shadows for Predicting Heightmaps from Single Remotely Sensed RGB Images with Deep Learning
Savvas Karatsiolis, Andreas Kamilaris
Estimating the heightmaps of buildings and vegetation in single remotely sensed images is a challenging problem. Effective solutions to this problem can comprise the stepping stone…
EscapeWildFire: Assisting People to Escape Wildfires in Real-Time
Andreas Kamilaris, Jean-Baptiste Filippi, Chirag Padubidri +5
Over the past couple of decades, the number of wildfires and area of land burned around the world has been steadily increasing, partly due to climatic changes and global warming. T…
Blockchain in agriculture
Andreas Kamilaris, Ian Cole, Francesc X. Prenafeta-Boldu
Blockchain is an emerging digital technology allowing ubiquitous financial transactions among distributed untrusted parties, without the need of intermediaries such as banks. This…
Investigation of the Cyprus donkey milk bacterial diversity by 16SrDNA high-throughput sequencing in a Cyprus donkey farm
P. Papademas, E. Kamilari, M. Aspri +4
The interest in milk originating from donkeys is growing worldwide due to its claimed functional and nutritional properties, especially for sensitive population groups, such as inf…
The pursuit of beauty: Converting image labels to meaningful vectors
Savvas Karatsiolis, Andreas Kamilaris
A challenge of the computer vision community is to understand the semantics of an image, in order to allow image reconstruction based on existing high-level features or to better a…
Can animal manure be used to increase soil organic carbon stocks in the Mediterranean as a mitigation climate change strategy?
Andreas Kamilaris, Immaculada Funes Mesa, Robert Savé +2
Soil organic carbon (SOC) plays an important role on improving soil conditions and soil functions. Increasing land use changes have induced an important decline of SOC content at g…
Identification of Tree Species in Japanese Forests based on Aerial Photography and Deep Learning
Sarah Kentsch, Savvas Karatsiolis, Andreas Kamilaris +2
Natural forests are complex ecosystems whose tree species distribution and their ecosystem functions are still not well understood. Sustainable management of these forests is of hi…
Transfer of Manure as Fertilizer from Livestock Farms to Crop Fields: The Case of Catalonia
Andreas Kamilaris, Andries Engelbrecht, Andreas Pitsillides +1
Intensive livestock production might have a negative environmental impact, by producing large amounts of animal manure, which, if not properly managed, can contaminate nearby water…
Transfer of Manure from Livestock Farms to Crop Fields as Fertilizer using an Ant Inspired Approach
Andreas Kamilaris, Andries Engelbrecht, Andreas Pitsillides +1
Intensive livestock production might have a negative environmental impact, by producing large amounts of animal excrements, which, if not properly managed, can contaminate nearby w…
Characterizing Halloumi cheese bacterial communities through metagenomic analysis
Eleni Kamilari, Dimitrios A. Anagnostopoulos, Photis Papademas +2
Halloumi is a semi hard cheese produced in Cyprus for centuries and its popularity has significantly risen over the past years. High throughput sequencing (HTS) was applied in the…
The Penetration of Internet of Things in Robotics: Towards a Web of Robotic Things
Andreas Kamilaris, Nicolo Botteghi
As the Internet of Things (IoT) penetrates different domains and application areas, it has recently entered also the world of robotics. Robotics constitutes a modern and fast-evolv…
Short Term Prediction of Parking Area states Using Real Time Data and Machine Learning Techniques
Jesper Provoost, Luc Wismans, Sander Van der Drift +2
Public road authorities and private mobility service providers need information derived from the current and predicted traffic states to act upon the daily urban system and its spa…
The Rise of Blockchain Technology in Agriculture and Food Supply Chains
Andreas Kamilaris, Agusti Fonts, Francesc X. Prenafeta-Boldu
Blockchain is an emerging digital technology allowing ubiquitous financial transactions among distributed untrusted parties, without the need of intermediaries such as banks. This…
Training Deep Learning Models via Synthetic Data: Application in Unmanned Aerial Vehicles
Andreas Kamilaris, Corjan van den Brink, Savvas Karatsiolis
This paper describes preliminary work in the recent promising approach of generating synthetic training data for facilitating the learning procedure of deep learning (DL) models, w…
Disaster Monitoring using Unmanned Aerial Vehicles and Deep Learning
Andreas Kamilaris, Francesc X. Prenafeta-Boldú
Monitoring of disasters is crucial for mitigating their effects on the environment and human population, and can be facilitated by the use of unmanned aerial vehicles (UAV), equipp…
Geospatial Analysis and Internet of Things in Environmental Informatics
Andreas Kamilaris, Frank Ostermann
Geospatial analysis offers large potential for better understanding, modelling and visualizing our natural and artificial ecosystems, using Internet of Things as a pervasive sensin…
A Review on the Application of Natural Computing in Environmental Informatics
Andreas Kamilaris
Natural computing offers new opportunities to understand, model and analyze the complexity of the physical and human-created environment. This paper examines the application of nat…
Deep learning in agriculture: A survey
Andreas Kamilaris, Francesc X. Prenafeta-Boldu
Deep learning constitutes a recent, modern technique for image processing and data analysis, with promising results and large potential. As deep learning has been successfully appl…
SpEnD: Linked Data SPARQL Endpoints Discovery Using Search Engines
Semih Yumusak, Erdogan Dogdu, Halife Kodaz +1
In this study, a novel metacrawling method is proposed for discovering and monitoring linked data sources on the Web. We implemented the method in a prototype system, named SPARQL…