Baris Akgün

Orcid: 0000-0002-4079-6889

Affiliations:
  • Koç University, Department of Computer Engineering , Istanbul, Turkey
  • Georgia Institute of Technology, College of Computing, Atlanta, GA, USA (PhD 2015)


According to our database1, Baris Akgün authored at least 39 papers between 2009 and 2023.

Collaborative distances:

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2023
Privileged to Predicted: Towards Sensorimotor Reinforcement Learning for Urban Driving.
CoRR, 2023

BarlowRL: Barlow Twins for Data-Efficient Reinforcement Learning.
CoRR, 2023

Keyframe Demonstration Seeded and Bayesian Optimized Policy Search.
CoRR, 2023

A Reinforcement Learning based Collection Approach.
Proceedings of the 31st Signal Processing and Communications Applications Conference, 2023

Implications of Node Selection in Decentralized Federated Learning.
Proceedings of the 31st Signal Processing and Communications Applications Conference, 2023

A Hybrid Text Classification Approach for Chatbots.
Proceedings of the 31st Signal Processing and Communications Applications Conference, 2023

FLAGS Simulation Framework for Federated Learning Algorithms.
Proceedings of the 14th International Conference on Network of the Future, 2023

Geolocation Risk Scores for Credit Scoring Models.
Proceedings of the Machine Learning, Optimization, and Data Science, 2023

2022
FLAGS framework for comparative analysis of Federated Learning algorithms.
Internet Things, 2022

Banking Order Classification and Information Extraction.
Proceedings of the 30th Signal Processing and Communications Applications Conference, 2022

Corporate Network Analysis Based on Graph Learning.
Proceedings of the Machine Learning, Optimization, and Data Science, 2022

Learning Markerless Robot-Depth Camera Calibration and End-Effector Pose Estimation.
Proceedings of the Conference on Robot Learning, 2022

2021
Reward Learning From Very Few Demonstrations.
IEEE Trans. Robotics, 2021

Frustum Fusion: Pseudo-LiDAR and LiDAR Fusion for 3D Detection.
CoRR, 2021

ATM Allocation Using Decision Tree-Based Algorithms.
Proceedings of the 29th Signal Processing and Communications Applications Conference, 2021

2020
State-of-the-art Techniques in Deep Edge Intelligence.
CoRR, 2020

Distributed Deep Reinforcement Learning with Wideband Sensing for Dynamic Spectrum Access.
Proceedings of the 2020 IEEE Wireless Communications and Networking Conference, 2020

Chain FL: Decentralized Federated Machine Learning via Blockchain.
Proceedings of the 2020 Second International Conference on Blockchain Computing and Applications, 2020

2018
Mind in the Machine: Perceived Minds Induce Decision Change.
CoRR, 2018

Flow From Motion: A Deep Learning Approach.
CoRR, 2018

Distributed landmark placement in P2P networks.
Proceedings of the 26th Signal Processing and Communications Applications Conference, 2018

Communicative Cues for Reach-to-Grasp Motions: From Humans to Robots.
Proceedings of the 17th International Conference on Autonomous Agents and MultiAgent Systems, 2018

Flow State Feedback Through Sports Wearables: A Case Study on Tennis.
Proceedings of the 2018 on Designing Interactive Systems Conference 2018, 2018

2016
Robots learning actions and goals from everyday people.
PhD thesis, 2016

Simultaneously learning actions and goals from demonstration.
Auton. Robots, 2016

Grounding action parameters from demonstration.
Proceedings of the 25th IEEE International Symposium on Robot and Human Interactive Communication, 2016

Learning haptic affordances from demonstration and human-guided exploration.
Proceedings of the 2016 IEEE Haptics Symposium, 2016

2015
An evaluation of GUI and kinesthetic teaching methods for constrained-keyframe skills.
Proceedings of the 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2015

Self-improvement of learned action models with learned goal models.
Proceedings of the 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2015

Visual Case Retrieval for Interpreting Skill Demonstrations.
Proceedings of the Case-Based Reasoning Research and Development, 2015

Streaming Linear Regression on Spark MLlib and MOA.
Proceedings of the 2015 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2015

2014
An HRI Approach to Learning from Demonstration.
Proceedings of the 2014 AAAI Fall Symposia, Arlington, Virginia, USA, November 13-15, 2014, 2014

2012
Keyframe-based Learning from Demonstration - Method and Evaluation.
Int. J. Soc. Robotics, 2012

Trajectories and keyframes for kinesthetic teaching: a human-robot interaction perspective.
Proceedings of the International Conference on Human-Robot Interaction, 2012

Novel Interaction Strategies for Learning from Teleoperation.
Proceedings of the Robots Learning Interactively from Human Teachers, 2012

2011
Sampling heuristics for optimal motion planning in high dimensions.
Proceedings of the 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2011

Learning Tasks and Skills Together From a Human Teacher.
Proceedings of the Twenty-Fifth AAAI Conference on Artificial Intelligence, 2011

2010
Action Recognition Through an Action Generation Mechanism.
Proceedings of the Tenth International Conference on Epigenetic Robotics (EpiRob 2010), 2010

2009
Unsupervised learning of affordance relations on a humanoid robot.
Proceedings of the 24th International Symposium on Computer and Information Sciences, 2009


  Loading...