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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
, Davood Pirayesh Neghab:
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
, Mucahit Cevik
:
Scalable grid-based approximation algorithms for partially observable Markov decision processes. Concurr. Comput. Pract. Exp. 34(5) (2022) - [j2]Parisa Lak, Aysun Bozanta
, Can Kavaklioglu, Mucahit Cevik, Ayse Basar
, Martin Petitclerc, Graham J. Wills:
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
, Adam Neal:
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
, Can Kavaklioglu, Ayse Bener
:
Topic Detection and Document Similarity on Financial News. Canadian AI 2018: 322-328 - [c6]Dhanya Jothimani
, Can Kavaklioglu, Ayse Basar
:
Financial Networks: A Study of the Toronto Stock Exchange. IEEE BigData 2018: 4684-4691 - [c5]Savas Yildirim, Dhanya Jothimani
, Can Kavaklioglu, Ayse Basar
:
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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