Can Kavaklioglu

Publication Activity (10 Years)

Years Active: 2007-2023
Publications (10 Years): 14

Top Topics

Discrete Event Simulation

Linear Programming

Top Venues

Expert Syst. J. Knowl. Eng.

Publications

Robert K. Helmeczi, Can Kavaklioglu, Mucahit Cevik
Linear programming-based solution methods for constrained partially observable Markov decision processes. Appl. Intell. 53 (19) (2023)
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 (2023)
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) (2023)
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)
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 (2022)
Can Kavaklioglu, Mucahit Cevik
Scalable grid-based approximation algorithms for partially observable Markov decision processes. Concurr. Comput. Pract. Exp. 34 (5) (2022)
Can Kavaklioglu, Robert Helmeczi, Mucahit Cevik
Linear programming-based solution methods for constrained POMDPs. CoRR (2022)
Can Kavaklioglu, Mucahit Cevik, Robert Helmeczi, Davood Pirayesh Neghab
A multi-objective constrained POMDP model for breast cancer screening. CoRR (2022)
Shirin Akbarinasaji, Can Kavaklioglu, Ayse Basar, Adam Neal
Partially observable Markov decision process to generate policies in software defect management. J. Syst. Softw. 163 (2020)
Savas Yildirim, Dhanya Jothimani, Can Kavaklioglu, Ayse Basar
Deep Learning Approaches for Sentiment Analysis on Financial Microblog Dataset. IEEE BigData (2019)
Savas Yildirim, Dhanya Jothimani, Can Kavaklioglu, Ayse Basar
Classification of "Hot News" for Financial Forecast Using NLP Techniques. IEEE BigData (2018)
Dhanya Jothimani, Can Kavaklioglu, Ayse Basar
Financial Networks: A Study of the Toronto Stock Exchange. IEEE BigData (2018)
Saeede Sadat Asadi Kakhki, Can Kavaklioglu, Ayse Bener
Topic Detection and Document Similarity on Financial News. Canadian Conference on AI (2018)
Parisa Lak, Can Kavaklioglu, Mefta Sadat, Martin Petitclerc, Graham 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)
Can Kavaklioglu, Ali Taylan Cemgil
Optimal contraction order of multiple tensors. SIU (2013)
Can Kavaklioglu, Ali Taylan Cemgil
Parallel generalized tensor multiplication. SIU (2012)
Can Kavaklioglu, Okyay Kaynak
A Type-2 Fuzzy Planner with Semi Qualitative World Model for Robocup Domain. CASE (2007)