Pattern-based dual learning for point-of-interest (POI) recommendation. - Tipajin Thaipisutikul; Yi-Cheng Chen (Ind. Manag. Data Syst., 2020)

Automated Classification of Criminal and Violent Activities in Thailand from Online News Articles. - Tipajin Thaipisutikul; Suppawong Tuarob; Siripen Pongpaichet; Amornsri Amornvatcharapong; Timothy K. Shih (KST, 2021)

A Context-Aware POI Recommendation. - Tipajin Thaipisutikul; Ying-Nong Chen (TENCON, 2021)

A novel context-aware recommender system based on a deep sequential learning approach (CReS). - Tipajin Thaipisutikul; Timothy K. Shih (Neural Comput. Appl., 2021)

Detailed analysis of Ethereum network on transaction behavior, community structure and link prediction. - Anwar Said; Muhammad Umar Janjua; Saeed-Ul Hassan; Zeeshan Muzammal; Tania Saleem; Tipajin Thaipisutikul; Suppawong Tuarob; Raheel Nawaz (PeerJ Comput. Sci., 2021)

Feature Line Embedding Based on Support Vector Machine for Hyperspectral Image Classification. - Ying-Nong Chen; Tipajin Thaipisutikul; Chin-Chuan Han; Tzu-Jui Liu; Kuo-Chin Fan (Remote. Sens., 2021)

MDPrePost-Net: A Spatial-Spectral-Temporal Fully Convolutional Network for Mapping of Mangrove Degradation Affected by Hurricane Irma 2017 Using Sentinel-2 Data. - Ilham Jamaluddin; Tipajin Thaipisutikul; Ying-Nong Chen; Chi-Hung Chuang; Chih-Lin Hu (Remote. Sens., 2021)

A collaborative filtering recommendation system with dynamic time decay. - Yi-Cheng Chen; Lin Hui; Tipajin Thaipisutikul (J. Supercomput., 2021)

Multivariate time series analysis on variables that influence pandemic expansion. - Tipajin Thaipisutikul; Chih-Yang Lin; Sheng-Chih Chen (JCSSE, 2022)

Beyond fear go viral: A machine learning study on infodemic detection during covid-19 pandemic. - Tipajin Thaipisutikul; Timothy K. Shih; Avirmed Enkhbat; Wisnu Aditya; Huang-Chia Shih; Pattanasak Mongkolwat (KST, 2022)

Single-Head Lifelong Learning Based on Distilling Knowledge. - Yen-Hsiang Wang; Chih-Yang Lin; Tipajin Thaipisutikul; Timothy K. Shih (IEEE Access, 2022)

Language-agnostic deep learning framework for automatic monitoring of population-level mental health from social networks. - Thanapon Noraset; Krittin Chatrinan; Tanisa Tawichsri; Tipajin Thaipisutikul; Suppawong Tuarob (J. Biomed. Informatics, 2022)

Novel Spatio-Temporal Continuous Sign Language Recognition Using an Attentive Multi-Feature Network. - Wisnu Aditya; Timothy K. Shih; Tipajin Thaipisutikul; Arda Satata Fitriajie; Munkhjargal Gochoo; Fitri Utaminingrum; Chih-Yang Lin (Sensors, 2022)

Exploiting Long- and Short-Term Preferences for Deep Context-Aware Recommendations. - Tipajin Thaipisutikul; Timothy K. Shih; Avirmed Enkhbat; Wisnu Aditya (IEEE Trans. Comput. Soc. Syst., 2022)

A Learning-Based POI Recommendation With Spatiotemporal Context Awareness. - Yi-Cheng Chen; Tipajin Thaipisutikul; Timothy K. Shih (IEEE Trans. Cybern., 2022)

Forecasting National-Level Self-Harm Trends With Social Networks. - Suppawong Tuarob; Krittin Chatrinan; Thanapon Noraset; Tanisa Tawichsri; Tipajin Thaipisutikul (IEEE Access, 2023)

An Improved Speed Estimation Using Deep Homography Transformation Regression Network on Monocular Videos. - Ervin Yohannes; Chih-Yang Lin; Timothy K. Shih; Tipajin Thaipisutikul; Avirmed Enkhbat; Fitri Utaminingrum (IEEE Access, 2023)

A secure annuli CAPTCHA system. - Jie Zhang; Min-Yen Tsai; Kotcharat Kitchat; Min-Te Sun; Kazuya Sakai; Wei-Shinn Ku; Thattapon Surasak; Tipajin Thaipisutikul (Comput. Secur., 2023)

A deep feature-level fusion model for masked face identity recommendation system. - Tipajin Thaipisutikul; Phonarnun Tatiyamaneekul; Chih-Yang Lin; Suppawong Tuarob (J. Ambient Intell. Humaniz. Comput., 2023)

Utilizing AI and Natural Language Processing to Predict Supreme Court Decisions in Thailand. - Rungpilin Anantathanavit; Jomchai Chongthanakorn; Warisa Kongsantinart; Pisit Praiwattana; Tipajin Thaipisutikul (KST, 2024)

Towards Drug Discovery: A Comparative Study of Machine Learning-enhanced QSAR Prediction. - Supawit Phimonjit; Sutthiphon Thankam; Pawaris Techahongsa; Tipajin Thaipisutikul (KST, 2024)

Lightweight Brain Tumor Diagnosis via Knowledge Distillation. - Rungpilin Anantathanavit; Farchan Hakim Raswa; Tipajin Thaipisutikul; Jia-Ching Wang (MAPR, 2024)

C3D-LSTM: a novel convolution-3D-based LSTM for link prediction in dynamic social networks. - Yi-Cheng Chen; Tipajin Thaipisutikul (Int. J. Web Grid Serv., 2024)

Multi-hop Video Super Resolution with Long-Term Consistency (MVSRGAN). - Wisnu Aditya; Timothy K. Shih; Tipajin Thaipisutikul; Chih-Yang Lin (Multim. Tools Appl., 2024)

An improved deep sequential model for context-aware POI recommendation. - Tipajin Thaipisutikul; Ying-Nong Chen (Multim. Tools Appl., 2024)

Automatic detection of nostril and key markers in images. - Kittikan Charoenjai; Worapan Kusakunniran; Tipajin Thaipisutikul; Nutcha Yodrabum; Irin Chaikangwan (Intell. Syst. Appl., 2024)