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ORCIDMehmet Haklidir
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2020 – today
- 2024
[j4]Alistair Knott
, Dino Pedreschi, Toshiya Jitsuzumi, Susan Leavy, David M. Eyers, Tapabrata Chakraborti, Andrew Trotman, Sundar Sundareswaran, Ricardo Baeza-Yates, Przemyslaw Biecek, Adrian Weller, Paul D. Teal, Subhadip Basu, Mehmet Haklidir, Virginia Morini, Stuart Russell, Yoshua Bengio:
AI content detection in the emerging information ecosystem: new obligations for media and tech companies. Ethics Inf. Technol. 26(4): 63 (2024)- [j3]Alistair Knott, Dino Pedreschi, Toshiya Jitsuzumi, Susan Leavy, David M. Eyers, Tapabrata Chakraborti, Andrew Trotman, Sundar Sundareswaran, Ricardo Baeza-Yates, Przemyslaw Biecek, Adrian Weller, Paul D. Teal, Subhadip Basu, Mehmet Haklidir, Virginia Morini, Stuart Russell, Yoshua Bengio:
Correction: AI content detection in the emerging information ecosystem: new obligations for media and tech companies. Ethics Inf. Technol. 26(4): 71 (2024) - [i2]Gülsüm Tuba Çibuk Girgin, Emre Girgin, Yigit Yildirim, Emre Ugur, Mehmet Haklidir:
Bidirectional Human Interactive AI Framework for Social Robot Navigation. CoRR abs/2404.04069 (2024) - 2023
- [c9]Havvanur Dervisoglu, Burak Ülver, Rabia Arkan Yurtoglu, Rusen Halepmollasi, Mehmet Haklidir:
A Comparative Study on Cloud-based and Edge-Based Digital Twin Frameworks for Prediction of Cardiovascular Disease. ICT4AWE 2023: 159-169 - [c8]Murat Delibalta, Ismail Bilgen, F. Canan Pembe, Erman Kiremit, Hilal Irkil, Mehmet Haklidir:
Load Weight Estimation in Washing Machine Using Soft Sensors with Machine Learning Techniques. SIU 2023: 1-4 - [c7]Mahmut Lutfullah Özbilen, Elif Özcan, Mustafa Berk Keles, Merve Zeybel, Havanur Dervisoglu, Aslinur Dogan, Mehmet Haklidir:
Big Data Analytics for Anomaly Detection in Blockchain. SIU 2023: 1-4 - [c6]Burak Ülver, Rabia Arkan Yurtoglu, Havvanur Dervisoglu, Rusen Halepmollasi, Mehmet Haklidir:
Federated Learning in Predicting Heart Disease. SIU 2023: 1-4 - [i1]Ilknur Dönmez, Mehmet Haklidir:
A proposed new metric for the conceptual diversity of a text. CoRR abs/2312.16548 (2023) - 2022
- [b1]Mehmet Haklidir:
Deep reinforcement learning for partially observable markov decision processes (Kısmi gözlemlenebilir markov karar süreçleri için derin pekiştirmeli öğrenme). İstanbul Technical University, Turkey, 2022 - [c5]Sencer Melih Deniz, Hamraz Javaheri, Juan Felipe Vargas, Dogan Urgun, Fariza Sabit, Mahmut Tok, Mehmet Haklidir, Bo Zhou, Paul Lukowicz:
Prediction of Lifted Weight Category Using EEG Equipped Headgear. BHI 2022: 1-7 - [c4]Tahir Sari, Mert Sever, Arda Taha Candan, Gülsüm Tuba Çibuk Girgin, Emre Girgin, Mehmet Haklidir:
Cloud Assisted Connected and Automated Mobility System Architecture Design and Experimental Verification: The 5G-MOBIX Autonomous Truck Routing Use Case. IV 2022: 1374-1380 - [c3]Mehmet Haklidir, Hakan Temeltas:
Autonomous Driving Systems for Decision-Making Under Uncertainty Using Deep Reinforcement Learning. SIU 2022: 1-4 - 2021
- [j2]Mehmet Haklidir, Hakan Temeltas:
Guided Soft Actor Critic: A Guided Deep Reinforcement Learning Approach for Partially Observable Markov Decision Processes. IEEE Access 9: 159672-159683 (2021)
2000 – 2009
- 2009
- [j1]Mehmet Haklidir, Isa Tasdelen:
Modeling, simulation and fuzzy control of an anthropomorphic robot arm by using Dymola. J. Intell. Manuf. 20(2): 177-186 (2009) - [c2]Mehmet Haklidir, Deniz Aldogan, Isa Tasdelen, Semuel Franko:
Modeling, Simulation and Feedback Linearization Control of Nonlinear Surface Vessels. ICINCO-SPSMC 2009: 92-97 - 2008
- [c1]Levent Senyurek, Seniha Koksal, Hakki Murat Genç, Deniz Aldogan, Mehmet Haklidir:
Implementation of Fuzzy Control for Surface Platforms in a Computer Generated Forces Toolkit. CIMCA/IAWTIC/ISE 2008: 832-837
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last updated on 2024-11-07 21:32 CET by the dblp team
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