Selahattin Akkas

According to our database, Selahattin Akkas authored at least 10 papers between 2019 and 2024.

Collaborative distances:

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

2024

GNNShap: Fast and Accurate GNN Explanations using Shapley Values.

Selahattin Akkas, Ariful Azad

CoRR, 2024

2022

High-performance iterative dataflow abstractions in Twister2: TSet.

Pulasthi Wickramasinghe, Niranda Perera, Supun Kamburugamuve, Kannan Govindarajan, Vibhatha Abeykoon, Chathura Widanage, Ahmet Uyar, Gurhan Gunduz, Selahattin Akkas, Geoffrey C. Fox

Concurr. Comput. Pract. Exp., 2022

Twister2 Cross-platform resource scheduler for big data.

Ahmet Uyar, Gurhan Gunduz, Supun Kamburugamuve, Pulasthi Wickramasinghe, Chathura Widanage, Kannan Govindarajan, Niranda Perera, Vibhatha Abeykoon, Selahattin Akkas, Geoffrey C. Fox

Concurr. Comput. Pract. Exp., 2022

JGCL: Joint Self-Supervised and Supervised Graph Contrastive Learning.

Selahattin Akkas, Ariful Azad

Proceedings of the Companion of The Web Conference 2022, Virtual Event / Lyon, France, April 25, 2022

2021

Intel Optane DCPMM and Serverless Computing.

Ahmet Uyar, Selahattin Akkas, Jiayu Li, Judy Fox

CoRR, 2021

Rank Position Forecasting in Car Racing.

Bo Peng, Jiayu Li, Selahattin Akkas, Takuya Araki, Ohno Yoshiyuki, Judy Qiu

Proceedings of the 35th IEEE International Parallel and Distributed Processing Symposium, 2021

2020

Rank Position Forecasting in Car Racing.

Bo Peng, Jiayu Li, Selahattin Akkas, Fugang Wang, Takuya Araki, Ohno Yoshiyuki, Judy Qiu

CoRR, 2020

2019

HarpGBDT: Optimizing Gradient Boosting Decision Tree for Parallel Efficiency.

Bo Peng, Judy Qiu, Langshi Chen, Jiayu Li, Miao Jiang, Selahattin Akkas, Egor Smirnov, Ruslan Israfilov, Sergey Khekhnev, Andrey Nikolaev

Proceedings of the 2019 IEEE International Conference on Cluster Computing, 2019

A Fast Video Image Detection using TensorFlow Mobile Networks for Racing Cars.

Selahattin Akkas, Sahaj Singh Maini, Judy Qiu

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

Streaming Machine Learning Algorithms with Big Data Systems.

Vibhatha Abeykoon, Gregor von Laszewski, Supun Kamburugamuve, Kannan Govindarajan, Pulasthi Wickramasinghe, Chathura Widanage, Niranda Perera, Ahmet Uyar, Gurhan Gunduz, Selahattin Akkas

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