Unsupervised learning of affordance relations on a humanoid robot. - Baris Akgün; Nilgün Dag; Tahir Bilal; Ilkay Atil; Erol Sahin (ISCIS, 2009)

Action Recognition Through an Action Generation Mechanism. - Baris Akgün; Doruk Tunaoglu; Erol Sahin (EpiRob, 2010)

Learning Tasks and Skills Together From a Human Teacher. - Baris Akgün; Kaushik Subramanian; Jaeeun Shim; Andrea Lockerd Thomaz (AAAI, 2011)

Sampling heuristics for optimal motion planning in high dimensions. - Baris Akgün; Mike Stilman (IROS, 2011)

Novel Interaction Strategies for Learning from Teleoperation. - Baris Akgün; Kaushik Subramanian; Andrea Lockerd Thomaz (AAAI Fall Symposium: Robots Learning Interactively from Human Teachers, 2012)

Trajectories and keyframes for kinesthetic teaching: a human-robot interaction perspective. - Baris Akgün; Maya Cakmak; Jae Wook Yoo; Andrea Lockerd Thomaz (HRI, 2012)

Keyframe-based Learning from Demonstration - Method and Evaluation. - Baris Akgün; Maya Cakmak; Karl Jiang; Andrea Lockerd Thomaz (Int. J. Soc. Robotics, 2012)

An HRI Approach to Learning from Demonstration. - Baris Akgün; Kalesha Bullard; Vivian Chu; Andrea Thomaz (AAAI Fall Symposia, 2014)

Streaming Linear Regression on Spark MLlib and MOA. - Baris Akgün; Sule Gündüz Ögüdücü (ASONAM, 2015)

Visual Case Retrieval for Interpreting Skill Demonstrations. - Tesca Fitzgerald; Keith McGreggor; Baris Akgün; Andrea Thomaz; Ashok K. Goel 001 (ICCBR, 2015)

Self-improvement of learned action models with learned goal models. - Baris Akgün; Andrea Lockerd Thomaz (IROS, 2015)

An evaluation of GUI and kinesthetic teaching methods for constrained-keyframe skills. - Andrey Kurenkov; Baris Akgün; Andrea Lockerd Thomaz (IROS, 2015)

Learning haptic affordances from demonstration and human-guided exploration. - Vivian Chu; Baris Akgün; Andrea Lockerd Thomaz (HAPTICS, 2016)

Grounding action parameters from demonstration. - Kalesha Bullard; Baris Akgün; Sonia Chernova; Andrea Lockerd Thomaz (RO-MAN, 2016)

Simultaneously learning actions and goals from demonstration. - Baris Akgün; Andrea Thomaz (Auton. Robots, 2016)

Robots learning actions and goals from everyday people. - Baris Akgün (2016)

Flow State Feedback Through Sports Wearables: A Case Study on Tennis. - Hayati Havlucu; Terry Eskenazi; Baris Akgün; Mehmet Cengiz Onbasli; Aykut Coskun; Oguzhan Özcan (Conference on Designing Interactive Systems, 2018)

Communicative Cues for Reach-to-Grasp Motions: From Humans to Robots. - Dogancan Kebüde; Cem Eteke; Tevfik Metin Sezgin; Baris Akgün (AAMAS, 2018)

Distributed landmark placement in P2P networks. - Sanaz Taheri Boshrooyeh; Öznur Özkasap; Baris Akgün (SIU, 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)

Mind in the Machine: Perceived Minds Induce Decision Change. - Deniz Lefkeli; Baris Akgün; Sahibzada Omar; Aansa Malik; Zeynep Gurhan Canli; Terry Eskenazi (CoRR, 2018)

Chain FL: Decentralized Federated Machine Learning via Blockchain. - Caner Korkmaz; Halil Eralp Kocas; Ahmet Uysal; Ahmed Masry; Öznur Özkasap; Baris Akgün (BCCA, 2020)

Distributed Deep Reinforcement Learning with Wideband Sensing for Dynamic Spectrum Access. - Umuralp Kaytaz; Seyhan Ucar; Baris Akgün; Sinem Coleri (WCNC, 2020)

State-of-the-art Techniques in Deep Edge Intelligence. - Ahnaf Hannan Lodhi; Baris Akgün; Öznur Özkasap (CoRR, 2020)

ATM Allocation Using Decision Tree-Based Algorithms. - Hazal Hasret Yurdakul; Kerem Kasikci; Ilhan Cagatay; Melih Güven; Murat Koras; Baris Akgün; Mehmet Gönen (SIU, 2021)

Frustum Fusion: Pseudo-LiDAR and LiDAR Fusion for 3D Detection. - Farzin Negahbani; Onur Berk Töre; Fatma Güney; Baris Akgün (CoRR, 2021)

Reward Learning From Very Few Demonstrations. - Cem Eteke; Dogancan Kebüde; Baris Akgün (IEEE Trans. Robotics, 2021)

Learning Markerless Robot-Depth Camera Calibration and End-Effector Pose Estimation. - Bugra Can Sefercik; Baris Akgün (CoRL, 2022)

Corporate Network Analysis Based on Graph Learning. - Emre Atan; Ali Duymaz; Funda Sarisözen; Ugur Aydin; Murat Koras; Baris Akgün; Mehmet Gönen (LOD (1), 2022)

Banking Order Classification and Information Extraction. - Veli Oguzalp Bakir; Ilhan Cagatay; Melih Güven; Murat Koras; Mehmet Gönen; Baris Akgün (SIU, 2022)

FLAGS framework for comparative analysis of Federated Learning algorithms. - Ahnaf Hannan Lodhi; Baris Akgün; Öznur Özkasap (Internet Things, 2022)

BarlowRL: Barlow Twins for Data-Efficient Reinforcement Learning. - Omer Veysel Cagatan; Baris Akgün (ACML, 2023)

Geolocation Risk Scores for Credit Scoring Models. - Erdem Ünal; Ugur Aydin; Murat Koras; Baris Akgün; Mehmet Gönen (LOD (2), 2023)

FLAGS Simulation Framework for Federated Learning Algorithms. - Ahnaf Hannan Lodhi; Toghrul Shamsizade; Omar Mohammad Al Asaad; Baris Akgün; Öznur Özkasap (NoF, 2023)

A Hybrid Text Classification Approach for Chatbots. - Atilla Karaahmetoglu; Ugur Yigitoglu; Elif Vardarli; Erdem Ünal; Ugur Aydin; Murat Koras; Mehmet Gönen; Baris Akgün (SIU, 2023)

Implications of Node Selection in Decentralized Federated Learning. - Ahnaf Hannan Lodhi; Baris Akgün; Öznur Özkasap (SIU, 2023)

A Reinforcement Learning based Collection Approach. - Ibrahim Tozlu; Elif Vardarli; Mert Pekey; Mehmet Gönen; Baris Akgün (SIU, 2023)

Keyframe Demonstration Seeded and Bayesian Optimized Policy Search. - Onur Berk Töre; Farzin Negahbani; Baris Akgün (CoRR, 2023)

Privileged to Predicted: Towards Sensorimotor Reinforcement Learning for Urban Driving. - Ege Onat Özsüer; Baris Akgün; Fatma Güney (CoRR, 2023)

Identifying Potential Key Point-of-Sale Customers Using Network Centrality. - Emir Yalçin; Kerem Kasikci; Remziye Günes; Melih Güven; Murat Koras; Baris Akgün; Mehmet Gönen (LOD (2), 2024)

Location-Based Performance Management of Sales Teams. - Hande Kastan; Kerem Kasikci; Remziye Günes; Melih Güven; Murat Koras; Baris Akgün; Mehmet Gönen (SIU, 2024)

Uncovering RL Integration in SSL Loss: Objective-Specific Implications for Data-Efficient RL. - Ömer Veysel Çagatan; Baris Akgün (CoRR, 2024)

Efficient, interpretable and automated feature engineering for bank data. - Atilla Karaahmetoglu; Mehmet Yildiz; Erdem Ünal; Ugur Aydin; Murat Koras; Baris Akgün (Big Data Res., 2025)