Can Kavaklioglu

According to our database, Can Kavaklioglu authored at least 17 papers between 2007 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Linear programming-based solution methods for constrained partially observable Markov decision processes.

Robert K. Helmeczi, Can Kavaklioglu, Mucahit Cevik

Appl. Intell., October, 2023

A multi-objective constrained partially observable Markov decision process model for breast cancer screening.

Robert K. Helmeczi, Can Kavaklioglu, Mucahit Cevik, Davood Pirayesh Neghab

Oper. Res., 2023

Assessing the impact of emergency department short stay units using length-of-stay prediction and discrete event simulation.

Mucahit Cevik, Can Kavaklioglu, Fahad Razak, Amol A. Verma, Ayse Basar

CoRR, 2023

2022

A replication study on implicit feedback recommender systems with application to the data visualization recommendation.

Parisa Lak, Aysun Bozanta, Can Kavaklioglu, Mucahit Cevik, Ayse Basar, Martin Petitclerc, Graham J. Wills

Expert Syst. J. Knowl. Eng., 2022

Linear programming-based solution methods for constrained POMDPs.

Can Kavaklioglu, Robert Helmeczi, Mucahit Cevik

CoRR, 2022

A multi-objective constrained POMDP model for breast cancer screening.

Can Kavaklioglu, Mucahit Cevik, Robert Helmeczi, Davood Pirayesh Neghab

CoRR, 2022

Scalable grid-based approximation algorithms for partially observable Markov decision processes.

Can Kavaklioglu, Mucahit Cevik

Concurr. Comput. Pract. Exp., 2022

Courier routing and assignment for food delivery service using reinforcement learning.

Aysun Bozanta, Mucahit Cevik, Can Kavaklioglu, Eray Mert Kavuk, Ayse Tosun, Sibel B. Sonuc, Alper Duranel, Ayse Basar

Comput. Ind. Eng., 2022

2020

Partially observable Markov decision process to generate policies in software defect management.

Shirin Akbarinasaji, Can Kavaklioglu, Ayse Basar, Adam Neal

J. Syst. Softw., 2020

2019

Deep Learning Approaches for Sentiment Analysis on Financial Microblog Dataset.

Savas Yildirim, Dhanya Jothimani, Can Kavaklioglu, Ayse Basar

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

2018

Classification of "Hot News" for Financial Forecast Using NLP Techniques.

Savas Yildirim, Dhanya Jothimani, Can Kavaklioglu, Ayse Basar

Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

Financial Networks: A Study of the Toronto Stock Exchange.

Dhanya Jothimani, Can Kavaklioglu, Ayse Basar

Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

Topic Detection and Document Similarity on Financial News.

Saeede Sadat Asadi Kakhki, Can Kavaklioglu, Ayse Bener

Proceedings of the Advances in Artificial Intelligence, 2018

2017

A probabilistic approach for modelling user preferences in recommender systems: a case study on IBM watson analytics.

Parisa Lak, Can Kavaklioglu, Mefta Sadat, Martin Petitclerc, Graham J. Wills, Andriy V. Miranskyy, Ayse Basar Bener

Proceedings of the 27th Annual International Conference on Computer Science and Software Engineering, 2017

2013

Optimal contraction order of multiple tensors.

Can Kavaklioglu, Ali Taylan Cemgil

Proceedings of the 21st Signal Processing and Communications Applications Conference, 2013

2012

Parallel generalized tensor multiplication.

Can Kavaklioglu, Ali Taylan Cemgil

Proceedings of the 20th Signal Processing and Communications Applications Conference, 2012

2007

A Type-2 Fuzzy Planner with Semi Qualitative World Model for Robocup Domain.

Can Kavaklioglu, Okyay Kaynak

Proceedings of the IEEE Conference on Automation Science and Engineering, 2007