Power-based localization in correlated log-normal fading aided by conditioning measurements. - George Arvanitakis; Florian Kaltenberger; Ioannis Dagres; Andreas Polydoros; Adrian Kliks (EuCNC, 2015)

Broadband wireless channel measurements for high speed trains. - Florian Kaltenberger; Auguste Byiringiro; George Arvanitakis; Riadh Ghaddab; Dominique Nussbaum; Raymond Knopp; Marion Berbineau; Yann Cocheril; Henri Philippe; Eric Pierre Simon (ICC, 2015)

An Analytical Model for Flow-Level Performance of Large, Randomly Placed Small Cell Networks. - George Arvanitakis; Thrasyvoulos Spyropoulos; Florian Kaltenberger (GLOBECOM, 2016)

Potential for Discrimination in Online Targeted Advertising. - Till Speicher; Muhammad Ali 014; Giridhari Venkatadri; Filipe Nunes Ribeiro; George Arvanitakis; Fabrício Benevenuto; Krishna P. Gummadi; Patrick Loiseau; Alan Mislove (FAT, 2018)

Energy vs QoE Tradeoff of Dense Mobile Networks. - George Arvanitakis; Florian Kaltenberger (ICNC, 2018)

An Analytical Model for Flow-Level Performance in Heterogeneous Wireless Networks. - George Arvanitakis; Thrasyvoulos Spyropoulos; Florian Kaltenberger (IEEE Trans. Wirel. Commun., 2018)

The Price of Local Fairness in Multistage Selection. - Vitalii Emelianov 001; George Arvanitakis; Nicolas Gast; Krishna P. Gummadi; Patrick Loiseau (IJCAI, 2019)

Variational Information Bottleneck for Unsupervised Clustering: Deep Gaussian Mixture Embedding. - Yigit Ugur; George Arvanitakis; Abdellatif Zaidi (Entropy, 2020)

Fairness in Network-Friendly Recommendations. - Theodoros Giannakas; Pavlos Sermpezis; Anastasios Giovanidis; Thrasyvoulos Spyropoulos; George Arvanitakis (WOWMOM, 2021)

MAMOTH: An Earth Observational Data-Driven Model for Mosquitoes Abundance Prediction. - Argyro Tsantalidou; Elisavet Parselia; George Arvanitakis; Katerina Kyratzi; Sandra Gewehr; Athena Vakali; Charalampos Kontoes (Remote. Sens., 2021)

Practical Insights on Incremental Learning of New Human Physical Activity on the Edge. - George Arvanitakis; Jingwei Zuo; Mthandazo Ndhlovu; Hakim Hacid (DSAA, 2023)

On Handling Catastrophic Forgetting for Incremental Learning of Human Physical Activity on the Edge. - Jingwei Zuo; George Arvanitakis; Hakim Hacid (EDBT, 2023)

Exploration and Mitigation of the Impact of Lighting Conditions on Multi-spectral Image Classification. - Savvas Sifnaios; Ioannis Zorzos; George Arvanitakis; Fotios K. Konstantinidis; Georgios Tsimiklis; Angelos Amditis (IST, 2023)

A Data Driven Approach for Analyzing the Effect of Climate Change on Mosquito Abundance in Europe. - Argyro Tsantalidou; George Arvanitakis; Aristeidis K. Georgoulias; Dimitris Akritidis; Prodromos Zanis; Diletta Fornasiero; Daniel Wohlgemuth; Charalampos Kontoes (Remote. Sens., 2023)

MAGNETO: Edge AI for Human Activity Recognition - Privacy and Personalization. - Jingwei Zuo; George Arvanitakis; Mthandazo Ndhlovu; Hakim Hacid (EDBT, 2024)

A Latent Space Metric for Enhancing Prediction Confidence in Earth Observation Data. - Ioannis Pitsiorlas; Argyro Tsantalidou; George Arvanitakis; Marios Kountouris; Charalambos Kontoes (IGARSS, 2024)

A Chained Approach to Predict West Nile Virus Outbreaks in Fine Temporal Granularity via Satellite Data. - Dimitrios Saindis; George Arvanitakis; Charalampos Kontoes (IGARSS, 2024)

Wood-based sorting system for wood valorisation purposes. - Ioannis Zorzos; Fotios K. Konstantinidis; Georgios Arvanitakis; Georgios Tsimiklis; Angelos Amditis (ISM, 2024)

Trustworthy Intrusion Detection: Confidence Estimation Using Latent Space. - Ioannis Pitsiorlas; George Arvanitakis; Marios Kountouris (WiOpt, 2024)

A Deep Learning Approach for Pixel-level Material Classification via Hyperspectral Imaging. - Savvas Sifnaios; George Arvanitakis; Fotios K. Konstantinidis; Georgios Tsimiklis; Angelos Amditis; Panayiotis Frangos (CoRR, 2024)

Machine Learning-Driven Classification of Polyethylene (HDPE, LDPE) via Raman Spectroscopy. - Evangelos Stergiou; Fotios K. Konstantinidis; C. Stefani; George Arvanitakis; Georgios Tsimiklis; Angelos Amditis (ICPRAM, 2025)