Ioannis Athanasiadis

According to our database, Ioannis Athanasiadis authored at least 19 papers between 2014 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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, July, 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, July, 2025

Model Stitching by Functional Latent Alignment.

Ioannis Athanasiadis, Anmar Karmush, Michael Felsberg

CoRR, May, 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, May, 2025

Prior Learning in Introspective VAEs.

Ioannis Athanasiadis, Fredrik Lindsten, Michael Felsberg

Trans. Mach. Learn. Res., 2025

2024

Prior Learning in Introspective VAEs.

Ioannis Athanasiadis, Shashi Nagarajan, Fredrik Lindsten, Michael Felsberg

CoRR, 2024

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

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

DKM: Dense Kernelized Feature Matching for Geometry Estimation.

Johan Edstedt, Ioannis Athanasiadis, Mårten Wadenbäck, Michael Felsberg

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Evaluating Digital Agriculture Recommendations with Causal Inference.

Ilias Tsoumas, Georgios Giannarakis, Vasileios Sitokonstantinou, Alkiviadis Koukos, Dimitra Loka, Nikolaos S. Bartsotas, Charalampos Kontoes, Ioannis Athanasiadis

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

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

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

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2020

Efficient Fine-Grained Object Detection for Robot-Assisted WEEE Disassembly.

Ioannis Athanasiadis, Athanasios Psaltis, Apostolos Axenopoulos, Petros Daras

Proceedings of the Biomimetic and Biohybrid Systems - 9th International Conference, 2020

VisDrone-DET2020: The Vision Meets Drone Object Detection in Image Challenge Results.

Dawei Du, Longyin Wen, Pengfei Zhu, Heng Fan, Qinghua Hu, Haibin Ling, Mubarak Shah, Junwen Pan, Apostolos Axenopoulos, Arne Schumann, Athanasios Psaltis, Ayush Jain, Bin Dong, Changlin Li, Chen Chen, Chengzhen Duan, Chongyang Zhang, Daniel Stadler, Dheeraj Reddy Pailla, Dong Yin, Faizan Khan, Fanman Meng, Guangyu Gao, Guosheng Zhang, Hansheng Chen, Hao Zhou, Haonian Xie, Heqian Qiu, Hongliang Li, Ioannis Athanasiadis, Jincai Cui, Jingkai Zhou, Jong Hwan Ko, Joo Chan Lee, Jun Yu, Jungyeop Yoo, Lars Wilko Sommer, Lu Xiong, Michael Schleiss, Ming-Hsuan Yang, Mingyu Liu, Minjian Zhang, Murari Mandal, Petros Daras, Pratik Narang, Qiong Liu, Qiu Shi, Qizhang Lin, Rohit Ramaprasad, Sai Wang, Sarvesh Mehta, Shuai Li, Shuqin Huang, Sungtae Moon, Taijin Zhao, Ting Sun, Wei Guo, Wei Tian, Weida Qin, Weiping Yu, Wenxiang Lin, Xi Zhao, Xiaogang Jia, Xin He, Xingjie Zhao, Xuanxin Liu, Yan Ding, Yan Luo, Yang Xiao, Yi Wang, Yingjie Liu, Yongwoo Kim, Yu Sun, Yuehan Yao, Yuyao Huang, Zehui Gong, Zhenyu Xu, Zhipeng Luo, Zhiguo Cao, Zhiwei Wei, Zhongjie Fan, Zichen Song, Ziming Liu

Proceedings of the Computer Vision - ECCV 2020 Workshops, 2020

Enhancing Robot-Assisted WEEE Disassembly Through Optimizing Automated Detection of Small Components.

Ioannis Athanasiadis, Athanasios Psaltis, Apostolos Axenopoulos, Petros Daras

Proceedings of the Computer Vision - ECCV 2020 Workshops, 2020

2018

A Framework of Transfer Learning in Object Detection for Embedded Systems.

Ioannis Athanasiadis, Panagiotis Mousouliotis, Loukas Petrou

CoRR, 2018

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 Tangible Collaborative Decision Support System for Various Variants of the Vehicle Routing Problem.

Nikolaos Ploskas, Ioannis Athanasiadis, Jason Papathanasiou, Nikolaos Samaras

Proceedings of the Decision Support Systems V - Big Data Analytics for Decision Making, 2015

2014

A Collaborative Spatial Decision Support System for the Capacitated Vehicle Routing Problem on a Tabletop Display.

Nikolaos Ploskas, Ioannis Athanasiadis, Jason Papathanasiou, Nikolaos Samaras

Proceedings of the Decision Support Systems IV - Information and Knowledge Management in Decision Processes, 2014