Baris Akgün

According to our database, Baris Akgün authored at least 41 papers between 2009 and 2024.

Collaborative distances:

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

2024

Uncovering RL Integration in SSL Loss: Objective-Specific Implications for Data-Efficient RL.

Ömer Veysel Çagatan, Baris Akgün

CoRR, 2024

Location-Based Performance Management of Sales Teams.

Hande Kastan, Kerem Kasikci, Remziye Günes, Melih Güven, Murat Koras, Baris Akgün, Mehmet Gönen

Proceedings of the 32nd Signal Processing and Communications Applications Conference, 2024

2023

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

Ege Onat Özsüer, Baris Akgün, Fatma Güney

CoRR, 2023

Keyframe Demonstration Seeded and Bayesian Optimized Policy Search.

Onur Berk Töre, Farzin Negahbani, Baris Akgün

CoRR, 2023

A Reinforcement Learning based Collection Approach.

Ibrahim Tozlu, Elif Vardarli, Mert Pekey, Mehmet Gönen, Baris Akgün

Proceedings of the 31st Signal Processing and Communications Applications Conference, 2023

Implications of Node Selection in Decentralized Federated Learning.

Ahnaf Hannan Lodhi, Baris Akgün, Öznur Özkasap

Proceedings of the 31st Signal Processing and Communications Applications Conference, 2023

A Hybrid Text Classification Approach for Chatbots.

Attila Karaahmetoglu, Ugur Yigitoglu, Elif Vardarli, Erdem Ünal, Ugur Aydin, Murat Koras, Mehmet Gönen, Baris Akgün

Proceedings of the 31st Signal Processing and Communications Applications Conference, 2023

FLAGS Simulation Framework for Federated Learning Algorithms.

Ahnaf Hannan Lodhi, Toghrul Shamsizade, Omar Mohammad Al Asaad, Baris Akgün, Öznur Özkasap

Proceedings of the 14th International Conference on Network of the Future, 2023

Geolocation Risk Scores for Credit Scoring Models.

Erdem Ünal, Ugur Aydin, Murat Koras, Baris Akgün, Mehmet Gönen

Proceedings of the Machine Learning, Optimization, and Data Science, 2023

BarlowRL: Barlow Twins for Data-Efficient Reinforcement Learning.

Omer Veysel Cagatan, Baris Akgün

Proceedings of the Asian Conference on Machine Learning, 2023

2022

FLAGS framework for comparative analysis of Federated Learning algorithms.

Ahnaf Hannan Lodhi, Baris Akgün, Öznur Özkasap

Internet Things, 2022

Banking Order Classification and Information Extraction.

Veli Oguzalp Bakir, Ilhan Cagatay, Melih Güven, Murat Koras, Mehmet Gönen, Baris Akgün

Proceedings of the 30th Signal Processing and Communications Applications Conference, 2022

Corporate Network Analysis Based on Graph Learning.

Emre Atan, Ali Duymaz, Funda Sarisözen, Ugur Aydin, Murat Koras, Baris Akgün, Mehmet Gönen

Proceedings of the Machine Learning, Optimization, and Data Science, 2022

Learning Markerless Robot-Depth Camera Calibration and End-Effector Pose Estimation.

Bugra Can Sefercik, Baris Akgün

Proceedings of the Conference on Robot Learning, 2022

2021

Reward Learning From Very Few Demonstrations.

Cem Eteke, Dogancan Kebüde, Baris Akgün

IEEE Trans. Robotics, 2021

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

Farzin Negahbani, Onur Berk Töre, Fatma Güney, Baris Akgün

CoRR, 2021

ATM Allocation Using Decision Tree-Based Algorithms.

Hazal Hasret Yurdakul, Kerem Kasikci, Ilhan Cagatay, Melih Güven, Murat Koras, Baris Akgün, Mehmet Gönen

Proceedings of the 29th Signal Processing and Communications Applications Conference, 2021

2020

State-of-the-art Techniques in Deep Edge Intelligence.

Ahnaf Hannan Lodhi, Baris Akgün, Öznur Özkasap

CoRR, 2020

Distributed Deep Reinforcement Learning with Wideband Sensing for Dynamic Spectrum Access.

Umuralp Kaytaz, Seyhan Ucar, Baris Akgün, Sinem Coleri

Proceedings of the 2020 IEEE Wireless Communications and Networking Conference, 2020

Chain FL: Decentralized Federated Machine Learning via Blockchain.

Caner Korkmaz, Halil Eralp Kocas, Ahmet Uysal, Ahmed Masry, Öznur Özkasap, Baris Akgün

Proceedings of the 2020 Second International Conference on Blockchain Computing and Applications, 2020

2018

Mind in the Machine: Perceived Minds Induce Decision Change.

Deniz Lefkeli, Baris Akgün, Sahibzada Omar, Aansa Malik, Zeynep Gurhan Canli, Terry Eskenazi

CoRR, 2018

Flow From Motion: A Deep Learning Approach.

Cem Eteke, Hayati Havlucu, Nisa Irem Kirbaç, Mehmet Cengiz Onbasli, Aykut Coskun, Terry Eskenazi, Oguzhan Özcan, Baris Akgün

CoRR, 2018

Distributed landmark placement in P2P networks.

Sanaz Taheri Boshrooyeh, Öznur Özkasap, Baris Akgün

Proceedings of the 26th Signal Processing and Communications Applications Conference, 2018

Communicative Cues for Reach-to-Grasp Motions: From Humans to Robots.

Dogancan Kebüde, Cem Eteke, Tevfik Metin Sezgin, Baris Akgün

Proceedings of the 17th International Conference on Autonomous Agents and MultiAgent Systems, 2018

Flow State Feedback Through Sports Wearables: A Case Study on Tennis.

Hayati Havlucu, Terry Eskenazi, Baris Akgün, Mehmet Cengiz Onbasli, Aykut Coskun, Oguzhan Özcan

Proceedings of the 2018 on Designing Interactive Systems Conference 2018, 2018

2016

Robots learning actions and goals from everyday people.

Baris Akgün

PhD thesis, 2016

Simultaneously learning actions and goals from demonstration.

Baris Akgün, Andrea Thomaz

Auton. Robots, 2016

Grounding action parameters from demonstration.

Kalesha Bullard, Baris Akgün, Sonia Chernova, Andrea Lockerd Thomaz

Proceedings of the 25th IEEE International Symposium on Robot and Human Interactive Communication, 2016

Learning haptic affordances from demonstration and human-guided exploration.

Vivian Chu, Baris Akgün, Andrea Lockerd Thomaz

Proceedings of the 2016 IEEE Haptics Symposium, 2016

2015

An evaluation of GUI and kinesthetic teaching methods for constrained-keyframe skills.

Andrey Kurenkov, Baris Akgün, Andrea Lockerd Thomaz

Proceedings of the 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2015

Self-improvement of learned action models with learned goal models.

Baris Akgün, Andrea Lockerd Thomaz

Proceedings of the 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2015

Visual Case Retrieval for Interpreting Skill Demonstrations.

Tesca Fitzgerald, Keith McGreggor, Baris Akgün, Andrea Thomaz, Ashok K. Goel

Proceedings of the Case-Based Reasoning Research and Development, 2015

Streaming Linear Regression on Spark MLlib and MOA.

Baris Akgün, Sule Gündüz Ögüdücü

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.

Baris Akgün, Kalesha Bullard, Vivian Chu, Andrea Thomaz

Proceedings of the 2014 AAAI Fall Symposia, Arlington, Virginia, USA, November 13-15, 2014, 2014

2012

Keyframe-based Learning from Demonstration - Method and Evaluation.

Baris Akgün, Maya Cakmak, Karl Jiang, Andrea Lockerd Thomaz

Int. J. Soc. Robotics, 2012

Trajectories and keyframes for kinesthetic teaching: a human-robot interaction perspective.

Baris Akgün, Maya Cakmak, Jae Wook Yoo, Andrea Lockerd Thomaz

Proceedings of the International Conference on Human-Robot Interaction, 2012

Novel Interaction Strategies for Learning from Teleoperation.

Baris Akgün, Kaushik Subramanian, Andrea Lockerd Thomaz

Proceedings of the Robots Learning Interactively from Human Teachers, 2012

2011

Sampling heuristics for optimal motion planning in high dimensions.

Baris Akgün, Mike Stilman

Proceedings of the 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2011

Learning Tasks and Skills Together From a Human Teacher.

Baris Akgün, Kaushik Subramanian, Jaeeun Shim, Andrea Lockerd Thomaz

Proceedings of the Twenty-Fifth AAAI Conference on Artificial Intelligence, 2011

2010

Action Recognition Through an Action Generation Mechanism.

Baris Akgün, Doruk Tunaoglu, Erol Sahin

Proceedings of the Tenth International Conference on Epigenetic Robotics (EpiRob 2010), 2010

2009

Unsupervised learning of affordance relations on a humanoid robot.

Baris Akgün, Nilgün Dag, Tahir Bilal, Ilkay Atil, Erol Sahin

Proceedings of the 24th International Symposium on Computer and Information Sciences, 2009