A Collaborative Spatial Decision Support System for the Capacitated Vehicle Routing Problem on a Tabletop Display. - Nikolaos Ploskas; Ioannis Athanasiadis; Jason Papathanasiou; Nikolaos Samaras (EWG-DSS, 2014)

A Tangible Collaborative Decision Support System for Various Variants of the Vehicle Routing Problem. - Nikolaos Ploskas; Ioannis Athanasiadis; Jason Papathanasiou; Nikolaos Samaras (ICDSST, 2015)

An Interactive Spatial Decision Support System Enabling Co-Located Collaboration using Tangible User Interfaces for the Multiple Capacitated Facility Location Problem. - Nikolaos Ploskas; Ioannis Athanasiadis; Jason Papathanasiou; Nikolaos Samaras (Int. J. Decis. Support Syst. Technol., 2015)

A Framework of Transfer Learning in Object Detection for Embedded Systems. - Ioannis Athanasiadis; Panagiotis Mousouliotis; Loukas Petrou (CoRR, 2018)

Enhancing Robot-Assisted WEEE Disassembly Through Optimizing Automated Detection of Small Components. - Ioannis Athanasiadis; Athanasios Psaltis; Apostolos Axenopoulos; Petros Daras (ECCV Workshops (4), 2020)

VisDrone-DET2020: The Vision Meets Drone Object Detection in Image Challenge Results. - Dawei Du; Longyin Wen; Pengfei Zhu 001; Heng Fan 001; Qinghua Hu; Haibin Ling; Mubarak Shah; Junwen Pan; Apostolos Axenopoulos; Arne Schumann; Athanasios Psaltis; Ayush Jain; et al. (ECCV Workshops (4), 2020)

Efficient Fine-Grained Object Detection for Robot-Assisted WEEE Disassembly. - Ioannis Athanasiadis; Athanasios Psaltis; Apostolos Axenopoulos; Petros Daras (Living Machines, 2020)

Learning Long-Term Crop Management Strategies with CyclesGym. - Matteo Turchetta; Luca Corinzia; Scott Sussex; Amanda Burton; Juan Herrera; Ioannis Athanasiadis; Joachim M. Buhmann; Andreas Krause 001 (NeurIPS, 2022)

Evaluating Digital Tools for Sustainable Agriculture using Causal Inference. - Ilias Tsoumas; Georgios Giannarakis; Vasileios Sitokonstantinou; Alkiviadis Koukos; Dimitra Loka; Nikolaos S. Bartsotas; Charalampos Kontoes; Ioannis Athanasiadis (CoRR, 2022)

Evaluating Digital Agriculture Recommendations with Causal Inference. - Ilias Tsoumas; Georgios Giannarakis; Vasileios Sitokonstantinou; Alkiviadis Koukos; Dimitra Loka; Nikolaos S. Bartsotas; Charalampos Kontoes; Ioannis Athanasiadis (AAAI, 2023)

DKM: Dense Kernelized Feature Matching for Geometry Estimation. - Johan Edstedt; Ioannis Athanasiadis; Mårten Wadenbäck; Michael Felsberg (CVPR, 2023)

Causality and Explainability for Trustworthy Integrated Pest Management. - Ilias Tsoumas; Vasileios Sitokonstantinou; Georgios Giannarakis; Evagelia Lampiri; Christos Athanassiou; Gustau Camps-Valls; Charalampos Kontoes; Ioannis Athanasiadis (CoRR, 2023)

Causal machine learning for sustainable agroecosystems. - Vasileios Sitokonstantinou; Emiliano Díaz Salas Porras; Jordi Cerdà-Bautista; Maria Piles; Ioannis Athanasiadis; Hannah Kerner; Giulia Martini; Lily-belle Sweet; Ilias Tsoumas; Jakob Zscheischler; Gustau Camps-Valls (CoRR, 2024)

Prior Learning in Introspective VAEs. - Ioannis Athanasiadis; Shashi Nagarajan; Fredrik Lindsten; Michael Felsberg (CoRR, 2024)

Prior Learning in Introspective VAEs. - Ioannis Athanasiadis; Fredrik Lindsten; Michael Felsberg (Trans. Mach. Learn. Res., 2025)

Interactive Double Deep Q-network: Integrating Human Interventions and Evaluative Predictions in Reinforcement Learning of Autonomous Driving. - Alkis Sygkounas; Ioannis Athanasiadis; Andreas Persson; Michael Felsberg; Amy Loutfi (CoRR, 2025)

Model Stitching by Functional Latent Alignment. - Ioannis Athanasiadis; Anmar Karmush; Michael Felsberg (CoRR, 2025)

Positive-Unlabeled Learning for Control Group Construction in Observational Causal Inference. - Ilias Tsoumas; Dimitrios Bormpoudakis; Vasileios Sitokonstantinou; Athanasios Askitopoulos; Andreas Kalogeras; Charalampos Kontoes; Ioannis Athanasiadis (CoRR, 2025)

Neural Ordinary Differential Equations for Learning and Extrapolating System Dynamics Across Bifurcations. - Eva van Tegelen; George van Voorn; Ioannis Athanasiadis; Peter van Heijster (CoRR, 2025)