Can Kavaklioglu

17 papers Journal 9Unranked 8
YearRankTypeTitle / Venue / Authors
2023 J jnl
A multi-objective constrained partially observable Markov decision process model for breast cancer screening.
Oper. Res.
Robert K. Helmeczi, Can Kavaklioglu, Mucahit Cevik, Davood Pirayesh Neghab
2023 J jnl
Assessing the impact of emergency department short stay units using length-of-stay prediction and discrete event simulation.
CoRR
Mucahit Cevik, Can Kavaklioglu, Fahad Razak, Amol Verma, Ayse Basar
2023 J jnl
Linear programming-based solution methods for constrained partially observable Markov decision processes.
Appl. Intell.
Robert K. Helmeczi, Can Kavaklioglu, Mucahit Cevik
2022 J jnl
A multi-objective constrained POMDP model for breast cancer screening.
CoRR
Can Kavaklioglu, Mucahit Cevik, Robert Helmeczi, Davood Pirayesh Neghab
2022 J jnl
A replication study on implicit feedback recommender systems with application to the data visualization recommendation.
Expert Syst. J. Knowl. Eng.
Parisa Lak, Aysun Bozanta, Can Kavaklioglu, Mucahit Cevik, Ayse Basar, Martin Petitclerc, Graham J. Wills
2022 J jnl
Courier routing and assignment for food delivery service using reinforcement learning.
Comput. Ind. Eng.
Aysun Bozanta, Mucahit Cevik, Can Kavaklioglu, Eray Mert Kavuk, Ayse Tosun, Sibel B. Sonuc, Alper Duranel, Ayse Basar
2022 J jnl
Linear programming-based solution methods for constrained POMDPs.
CoRR
Can Kavaklioglu, Robert Helmeczi, Mucahit Cevik
2022 J jnl
Scalable grid-based approximation algorithms for partially observable Markov decision processes.
Concurr. Comput. Pract. Exp.
Can Kavaklioglu, Mucahit Cevik
2020 J jnl
Partially observable Markov decision process to generate policies in software defect management.
J. Syst. Softw.
Shirin Akbarinasaji, Can Kavaklioglu, Ayse Basar, Adam Neal
2019 — conf
Deep Learning Approaches for Sentiment Analysis on Financial Microblog Dataset.
IEEE BigData
Savas Yildirim, Dhanya Jothimani, Can Kavaklioglu, Ayse Basar
2018 — conf
Classification of "Hot News" for Financial Forecast Using NLP Techniques.
IEEE BigData
Savas Yildirim, Dhanya Jothimani, Can Kavaklioglu, Ayse Basar
2018 — conf
Financial Networks: A Study of the Toronto Stock Exchange.
IEEE BigData
Dhanya Jothimani, Can Kavaklioglu, Ayse Basar
2018 — conf
Topic Detection and Document Similarity on Financial News.
Canadian AI
Saeede Sadat Asadi Kakhki, Can Kavaklioglu, Ayse Bener
2017 — conf
A probabilistic approach for modelling user preferences in recommender systems: a case study on IBM watson analytics.
CASCON
Parisa Lak, Can Kavaklioglu, Mefta Sadat, Martin Petitclerc, Graham J. Wills, Andriy V. Miranskyy, Ayse Basar Bener
2013 — conf
Optimal contraction order of multiple tensors.
SIU
Can Kavaklioglu, Ali Taylan Cemgil
2012 — conf
Parallel generalized tensor multiplication.
SIU
Can Kavaklioglu, Ali Taylan Cemgil
2007 — conf
A Type-2 Fuzzy Planner with Semi Qualitative World Model for Robocup Domain.
CASE
Can Kavaklioglu, Okyay Kaynak