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Can Kavaklioglu
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2020 – today
- 2023
- [j6]Robert K. Helmeczi, Can Kavaklioglu, Mucahit Cevik:
Linear programming-based solution methods for constrained partially observable Markov decision processes. Appl. Intell. 53(19): 21743-21769 (2023) - [j5]Robert K. Helmeczi, Can Kavaklioglu
, Mucahit Cevik
A multi-objective constrained partially observable Markov decision process model for breast cancer screening. Oper. Res. 23(2): 30 (2023) - [i3]Mucahit Cevik, Can Kavaklioglu, Fahad Razak, Amol A. Verma, Ayse Basar:
Assessing the impact of emergency department short stay units using length-of-stay prediction and discrete event simulation. CoRR abs/2308.02730 (2023) - 2022
- [j4]Aysun Bozanta, Mucahit Cevik, Can Kavaklioglu, Eray Mert Kavuk, Ayse Tosun, Sibel B. Sonuc, Alper Duranel, Ayse Basar
Courier routing and assignment for food delivery service using reinforcement learning. Comput. Ind. Eng. 164: 107871 (2022) - [j3]Can Kavaklioglu
Scalable grid-based approximation algorithms for partially observable Markov decision processes. Concurr. Comput. Pract. Exp. 34(5) (2022) - [j2]Parisa Lak, Aysun Bozanta
A replication study on implicit feedback recommender systems with application to the data visualization recommendation. Expert Syst. J. Knowl. Eng. 39(4) (2022) - [i2]Can Kavaklioglu, Mucahit Cevik, Robert Helmeczi, Davood Pirayesh Neghab:
A multi-objective constrained POMDP model for breast cancer screening. CoRR abs/2206.05370 (2022) - [i1]Can Kavaklioglu, Robert Helmeczi, Mucahit Cevik:
Linear programming-based solution methods for constrained POMDPs. CoRR abs/2206.14081 (2022) - 2020
- [j1]Shirin Akbarinasaji, Can Kavaklioglu, Ayse Basar
Partially observable Markov decision process to generate policies in software defect management. J. Syst. Softw. 163: 110518 (2020)
2010 – 2019
- 2019
- [c8]Savas Yildirim, Dhanya Jothimani, Can Kavaklioglu, Ayse Basar
Deep Learning Approaches for Sentiment Analysis on Financial Microblog Dataset. IEEE BigData 2019: 5581-5584 - 2018
- [c7]Saeede Sadat Asadi Kakhki
Topic Detection and Document Similarity on Financial News. Canadian AI 2018: 322-328 - [c6]Dhanya Jothimani
Financial Networks: A Study of the Toronto Stock Exchange. IEEE BigData 2018: 4684-4691 - [c5]Savas Yildirim, Dhanya Jothimani
Classification of "Hot News" for Financial Forecast Using NLP Techniques. IEEE BigData 2018: 4719-4722 - 2017
- [c4]Parisa Lak, Can Kavaklioglu, Mefta Sadat, Martin Petitclerc, Graham J. Wills, Andriy V. Miranskyy, Ayse Basar Bener:
A probabilistic approach for modelling user preferences in recommender systems: a case study on IBM watson analytics. CASCON 2017: 38-47 - 2013
- [c3]Can Kavaklioglu, Ali Taylan Cemgil
Optimal contraction order of multiple tensors. SIU 2013: 1-4 - 2012
- [c2]Can Kavaklioglu, Ali Taylan Cemgil
Parallel generalized tensor multiplication. SIU 2012: 1-4
2000 – 2009
- 2007
- [c1]Can Kavaklioglu, Okyay Kaynak
A Type-2 Fuzzy Planner with Semi Qualitative World Model for Robocup Domain. CASE 2007: 795-799
Coauthor Index
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