Pittipol Kantavat

According to our database, Pittipol Kantavat authored at least 9 papers between 2008 and 2023.

Collaborative distances:

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

2023

Estimating QOL from Car View Scene using Deep Neural Network and Clustering Approach.

Naoki Watanabe, Yuji Iwahori, Shinji Fukui, Akihiko Okazaki, Pittipol Kantavat, Boonserm Kijsirikul, Hiroyuki Takeshita, Yoshitsugu Hayashi

Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 27th International Conference KES-2023, 2023

Spam Article Detection on Social Media Platform Using Deep Learning: Enhancing Content Integrity and User Experience.

Panuwat Chiawchansilp, Pittipol Kantavat

Proceedings of the 13th International Conference on Advances in Information Technology, 2023

Automated Stock Trading System using Technical Analysis and Deep Learning Models.

Weerapat Buachuen, Pittipol Kantavat

Proceedings of the 13th International Conference on Advances in Information Technology, 2023

Article Feed Recommendation System for Thai Social Media Application Using Article Context Based on Deep Learning.

Pannawit Athipatcharawat, Dhata Muangrux, Ekapol Chuangsuwanich, Pittipol Kantavat

Proceedings of the 13th International Conference on Advances in Information Technology, 2023

2022

The Bangkok Urbanscapes Dataset for Semantic Urban Scene Understanding Using Enhanced Encoder-Decoder With Atrous Depthwise Separable A1 Convolutional Neural Networks.

Kitsaphon Thitisiriwech, Teerapong Panboonyuen, Pittipol Kantavat, Yuji Iwahori, Boonserm Kijsirikul

IEEE Access, 2022

Deep Neural Network for Estimating Value of Quality of Life in Driving Scenes.

Shinji Fukui, Naoki Watanabe, Yuji Iwahori, Pittipol Kantavat, Boonserm Kijsirikul, Hiroyuki Takeshita, Yoshitsugu Hayashi, Akihiko Okazaki

Proceedings of the 11th International Conference on Pattern Recognition Applications and Methods, 2022

2021

Transforming YAWL Workflows with Time Constraints into Timed Automata.

Maruth Ravibanjurdkul, Pittipol Kantavat, Wiwat Vatanawood

Proceedings of the ICCCM 2021: 9th International Conference on Computer and Communications Management, Singapore, July 16, 2021

2018

Efficient Decision Trees for Multi-Class Support Vector Machines Using Entropy and Generalization Error Estimation.

Pittipol Kantavat, Boonserm Kijsirikul, Patoomsiri Songsiri, Ken-ichi Fukui, Masayuki Numao

Int. J. Appl. Math. Comput. Sci., 2018

2008

Combining Technical Analysis and Support Vector Machine for Stock Trading.

Pittipol Kantavat, Boonserm Kijsirikul

Proceedings of the 8th International Conference on Hybrid Intelligent Systems (HIS 2008), 2008