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Ozsel Kilinc
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2020 – today
- 2024
- [i9]M. Esat Kalfaoglu, Halil Ibrahim Öztürk, Ozsel Kilinc, Alptekin Temizel:
TopoMaskV2: Enhanced Instance-Mask-Based Formulation for the Road Topology Problem. CoRR abs/2409.11325 (2024) - 2023
- [i8]M. Esat Kalfaoglu, Halil Ibrahim Öztürk, Ozsel Kilinc, Alptekin Temizel:
TopoMask: Instance-Mask-Based Formulation for the Road Topology Problem via Transformer-Based Architecture. CoRR abs/2306.05419 (2023) - 2022
- [j2]Ozsel Kilinc, Giovanni Montana:
Reinforcement learning for robotic manipulation using simulated locomotion demonstrations. Mach. Learn. 111(2): 465-486 (2022) - 2020
- [i7]Ozsel Kilinc, Giovanni Montana:
Follow the Object: Curriculum Learning for Manipulation Tasks with Imagined Goals. CoRR abs/2008.02066 (2020)
2010 – 2019
- 2019
- [i6]Ozsel Kilinc, Yang Hu, Giovanni Montana:
Reinforcement Learning for Robotic Manipulation using Simulated Locomotion Demonstrations. CoRR abs/1910.07294 (2019) - 2018
- [j1]Ozsel Kilinc, Ismail Uysal:
GAR: An efficient and scalable graph-based activity regularization for semi-supervised learning. Neurocomputing 296: 46-54 (2018) - [c3]Ozsel Kilinc, Ismail Uysal:
Learning Latent Representations in Neural Networks for Clustering through Pseudo Supervision and Graph-based Activity Regularization. ICLR (Poster) 2018 - [i5]Ozsel Kilinc, Ismail Uysal:
Learning Latent Representations in Neural Networks for Clustering through Pseudo Supervision and Graph-based Activity Regularization. CoRR abs/1802.03063 (2018) - [i4]Ozsel Kilinc, Giovanni Montana:
Multi-agent Deep Reinforcement Learning with Extremely Noisy Observations. CoRR abs/1812.00922 (2018) - 2017
- [b1]Ozsel Kilinc:
Graph-based Latent Embedding, Annotation and Representation Learning in Neural Networks for Semi-supervised and Unsupervised Settings. University of South Florida, Tampa, USA, 2017 - [i3]Ozsel Kilinc, Ismail Uysal:
Deep Clustering using Auto-Clustering Output Layer. CoRR abs/1702.08648 (2017) - [i2]Ozsel Kilinc, Ismail Uysal:
Clustering-based Source-aware Assessment of True Robustness for Learning Models. CoRR abs/1704.00158 (2017) - [i1]Ozsel Kilinc, Ismail Uysal:
GAR: An efficient and scalable Graph-based Activity Regularization for semi-supervised learning. CoRR abs/1705.07219 (2017) - 2015
- [c2]Ozsel Kilinc, Alexander Dalzell, Ismail Uluturk, Ismail Uysal:
Inertia Based Recognition of Daily Activities with ANNs and Spectrotemporal Features. ICMLA 2015: 733-738 - [c1]Ozsel Kilinc, Ismail Uysal:
Source-Aware Partitioning for Robust Cross-Validation. ICMLA 2015: 1083-1088
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last updated on 2024-10-15 21:34 CEST by the dblp team
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