Fethiye Irmak Dogan

Orcid: 0000-0002-1733-7019

According to our database1, Fethiye Irmak Dogan authored at least 17 papers between 2016 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Links

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Bibliography

2024
Explainability for Human-Robot Collaboration.
Proceedings of the Companion of the 2024 ACM/IEEE International Conference on Human-Robot Interaction, 2024

2023
Semantic Scene Understanding for Human-Robot Interaction.
Proceedings of the Companion of the 2023 ACM/IEEE International Conference on Human-Robot Interaction, 2023

2022
Leveraging explainability for understanding object descriptions in ambiguous 3D environments.
Frontiers Robotics AI, 2022

Improving Visual Question Answering by Leveraging Depth and Adapting Explainability.
Proceedings of the 31st IEEE International Conference on Robot and Human Interactive Communication, 2022

Interactive Disambiguation for Behavior Tree Execution.
Proceedings of the 21st IEEE-RAS International Conference on Humanoid Robots, 2022

Asking Follow-Up Clarifications to Resolve Ambiguities in Human-Robot Conversation.
Proceedings of the ACM/IEEE International Conference on Human-Robot Interaction, 2022

2021
Leveraging Explainability for Comprehending Referring Expressions in the Real World.
CoRR, 2021

Using Depth for Improving Referring Expression Comprehension in Real-World Environments.
CoRR, 2021

Open Challenges on Generating Referring Expressions for Human-Robot Interaction.
CoRR, 2021

2020
The impact of adding perspective-taking to spatial referencing during human-robot interaction.
Robotics Auton. Syst., 2020

2019
Learning to Generate Unambiguous Spatial Referring Expressions for Real-World Environments.
Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019

Crowdsourcing a self-evolving dialog graph.
Proceedings of the 1st International Conference on Conversational User Interfaces, 2019

2018
CINet: A Learning Based Approach to Incremental Context Modeling in Robots.
Proceedings of the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2018

A Deep Incremental Boltzmann Machine for Modeling Context in Robots.
Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

2017
A Learning Based Approach to Incremental Context Modeling in Robots.
CoRR, 2017

A Deep Incremental Boltzmann Machine for Modeling Context in Robots.
CoRR, 2017

2016
A robust normalization method for fMRI data for brain decoding.
Proceedings of the 24th Signal Processing and Communication Application Conference, 2016


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