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ORCIDBaris Akgün
Person information
- unicode name: Bariş Akgün
- affiliation: Koç University, Department of Computer Engineering , Istanbul, Turkey
- affiliation (PhD 2015): Georgia Institute of Technology, College of Computing, Atlanta, GA, USA
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Books and Theses
- 2016
[b1]Baris Akgün:
Robots learning actions and goals from everyday people. Georgia Institute of Technology, Atlanta, GA, USA, 2016
Journal Articles
- 2022
- [j4]Ahnaf Hannan Lodhi
, Baris Akgün, Öznur Özkasap:
FLAGS framework for comparative analysis of Federated Learning algorithms. Internet Things 20: 100638 (2022) - 2021
- [j3]Cem Eteke, Dogancan Kebüde, Baris Akgün:
Reward Learning From Very Few Demonstrations. IEEE Trans. Robotics 37(3): 893-904 (2021) - 2016
- [j2]Baris Akgün, Andrea Thomaz:
Simultaneously learning actions and goals from demonstration. Auton. Robots 40(2): 211-227 (2016) - 2012
- [j1]Baris Akgün, Maya Cakmak, Karl Jiang, Andrea Lockerd Thomaz:
Keyframe-based Learning from Demonstration - Method and Evaluation. Int. J. Soc. Robotics 4(4): 343-355 (2012)
Conference and Workshop Papers
- 2023
- [c28]Omer Veysel Cagatan, Baris Akgün:
BarlowRL: Barlow Twins for Data-Efficient Reinforcement Learning. ACML 2023: 201-216 - [c27]Erdem Ünal, Ugur Aydin, Murat Koras, Baris Akgün, Mehmet Gönen:
Geolocation Risk Scores for Credit Scoring Models. LOD (2) 2023: 34-44 - [c26]Ahnaf Hannan Lodhi, Toghrul Shamsizade, Omar Mohammad Al Asaad, Baris Akgün, Öznur Özkasap:
FLAGS Simulation Framework for Federated Learning Algorithms. NoF 2023: 123-125 - [c25]Attila Karaahmetoglu, Ugur Yigitoglu, Elif Vardarli, Erdem Ünal, Ugur Aydin, Murat Koras, Mehmet Gönen, Baris Akgün:
A Hybrid Text Classification Approach for Chatbots. SIU 2023: 1-4 - [c24]Ahnaf Hannan Lodhi, Baris Akgün, Öznur Özkasap:
Implications of Node Selection in Decentralized Federated Learning. SIU 2023: 1-4 - [c23]Ibrahim Tozlu, Elif Vardarli, Mert Pekey, Mehmet Gönen, Baris Akgün:
A Reinforcement Learning based Collection Approach. SIU 2023: 1-4 - 2022
- [c22]Bugra Can Sefercik, Baris Akgün:
Learning Markerless Robot-Depth Camera Calibration and End-Effector Pose Estimation. CoRL 2022: 1586-1595 - [c21]Emre Atan, Ali Duymaz, Funda Sarisözen, Ugur Aydin, Murat Koras, Baris Akgün, Mehmet Gönen:
Corporate Network Analysis Based on Graph Learning. LOD (1) 2022: 268-278 - [c20]Veli Oguzalp Bakir, Ilhan Cagatay, Melih Güven, Murat Koras, Mehmet Gönen, Baris Akgün:
Banking Order Classification and Information Extraction. SIU 2022: 1-4 - 2021
- [c19]Hazal Hasret Yurdakul, Kerem Kasikci, Ilhan Cagatay, Melih Güven, Murat Koras, Baris Akgün, Mehmet Gönen:
ATM Allocation Using Decision Tree-Based Algorithms. SIU 2021: 1-4 - 2020
- [c18]Caner Korkmaz, Halil Eralp Kocas, Ahmet Uysal, Ahmed Masry, Öznur Özkasap, Baris Akgün:
Chain FL: Decentralized Federated Machine Learning via Blockchain. BCCA 2020: 140-146 - [c17]Umuralp Kaytaz, Seyhan Ucar, Baris Akgün, Sinem Coleri:
Distributed Deep Reinforcement Learning with Wideband Sensing for Dynamic Spectrum Access. WCNC 2020: 1-6 - 2018
- [c16]Hayati Havlucu, Terry Eskenazi, Baris Akgün, Mehmet Cengiz Onbasli, Aykut Coskun, Oguzhan Özcan:
Flow State Feedback Through Sports Wearables: A Case Study on Tennis. Conference on Designing Interactive Systems 2018: 1025-1039 - [c15]Dogancan Kebüde, Cem Eteke, Tevfik Metin Sezgin, Baris Akgün:
Communicative Cues for Reach-to-Grasp Motions: From Humans to Robots. AAMAS 2018: 874-882 - [c14]Sanaz Taheri Boshrooyeh, Öznur Özkasap, Baris Akgün:
Distributed landmark placement in P2P networks. SIU 2018: 1-4 - 2016
- [c13]Vivian Chu, Baris Akgün, Andrea Lockerd Thomaz:
Learning haptic affordances from demonstration and human-guided exploration. HAPTICS 2016: 119-125 - [c12]Kalesha Bullard, Baris Akgün, Sonia Chernova, Andrea Lockerd Thomaz:
Grounding action parameters from demonstration. RO-MAN 2016: 253-260 - 2015
- [c11]Baris Akgün, Sule Gündüz Ögüdücü:
Streaming Linear Regression on Spark MLlib and MOA. ASONAM 2015: 1244-1247 - [c10]Tesca Fitzgerald, Keith McGreggor, Baris Akgün, Andrea Thomaz, Ashok K. Goel:
Visual Case Retrieval for Interpreting Skill Demonstrations. ICCBR 2015: 119-133 - [c9]Andrey Kurenkov, Baris Akgün, Andrea Lockerd Thomaz:
An evaluation of GUI and kinesthetic teaching methods for constrained-keyframe skills. IROS 2015: 3608-3613 - [c8]Baris Akgün, Andrea Lockerd Thomaz:
Self-improvement of learned action models with learned goal models. IROS 2015: 5259-5264 - 2014
- [c7]Baris Akgün, Kalesha Bullard, Vivian Chu, Andrea Thomaz:
An HRI Approach to Learning from Demonstration. AAAI Fall Symposia 2014 - 2012
- [c6]Baris Akgün, Kaushik Subramanian, Andrea Lockerd Thomaz:
Novel Interaction Strategies for Learning from Teleoperation. AAAI Fall Symposium: Robots Learning Interactively from Human Teachers 2012 - [c5]Baris Akgün, Maya Cakmak, Jae Wook Yoo, Andrea Lockerd Thomaz:
Trajectories and keyframes for kinesthetic teaching: a human-robot interaction perspective. HRI 2012: 391-398 - 2011
- [c4]Baris Akgün, Kaushik Subramanian, Jaeeun Shim, Andrea Lockerd Thomaz:
Learning Tasks and Skills Together From a Human Teacher. AAAI 2011: 1868-1869 - [c3]Baris Akgün, Mike Stilman:
Sampling heuristics for optimal motion planning in high dimensions. IROS 2011: 2640-2645 - 2010
- [c2]Baris Akgün, Doruk Tunaoglu, Erol Sahin:
Action Recognition Through an Action Generation Mechanism. EpiRob 2010 - 2009
- [c1]Baris Akgün, Nilgün Dag, Tahir Bilal, Ilkay Atil, Erol Sahin:
Unsupervised learning of affordance relations on a humanoid robot. ISCIS 2009: 254-259
Informal and Other Publications
- 2023
- [i9]Onur Berk Töre, Farzin Negahbani, Baris Akgün:
Keyframe Demonstration Seeded and Bayesian Optimized Policy Search. CoRR abs/2301.08184 (2023) - [i8]Omer Veysel Cagatan, Baris Akgün:
BarlowRL: Barlow Twins for Data-Efficient Reinforcement Learning. CoRR abs/2308.04263 (2023) - [i7]Ege Onat Özsüer, Baris Akgün, Fatma Güney:
Privileged to Predicted: Towards Sensorimotor Reinforcement Learning for Urban Driving. CoRR abs/2309.09756 (2023) - 2022
- [i6]Ahnaf Hannan Lodhi, Baris Akgün, Öznur Özkasap:
FLAGS Framework for Comparative Analysis of Federated Learning Algorithms. CoRR abs/2212.07179 (2022) - [i5]Bugra Can Sefercik, Baris Akgün:
Learning Markerless Robot-Depth Camera Calibration and End-Effector Pose Estimation. CoRR abs/2212.07567 (2022) - 2021
- [i4]Farzin Negahbani, Onur Berk Töre, Fatma Güney, Baris Akgün:
Frustum Fusion: Pseudo-LiDAR and LiDAR Fusion for 3D Detection. CoRR abs/2111.04780 (2021) - 2020
- [i3]Ahnaf Hannan Lodhi, Baris Akgün, Öznur Özkasap:
State-of-the-art Techniques in Deep Edge Intelligence. CoRR abs/2008.00824 (2020) - 2018
- [i2]Cem Eteke, Hayati Havlucu, Nisa Irem Kirbaç, Mehmet Cengiz Onbasli, Aykut Coskun, Terry Eskenazi, Oguzhan Özcan, Baris Akgün:
Flow From Motion: A Deep Learning Approach. CoRR abs/1803.09689 (2018) - [i1]Deniz Lefkeli, Baris Akgün, Sahibzada Omar, Aansa Malik, Zeynep Gurhan Canli, Terry Eskenazi:
Mind in the Machine: Perceived Minds Induce Decision Change. CoRR abs/1811.00876 (2018)
Coauthor Index
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