Collective intelligence in medical diagnosis systems: A case study. - Gandhi Hernández-Chan; Edgar Eduardo Ceh-Varela; José Luis Sánchez-Cervantes; Marisol Villanueva-Escalante; Alejandro Rodríguez González; Yuliana Pérez-Gallardo (Comput. Biol. Medicine, 2016)

A Counter Medication Classifier Using Machine Learning and Computer Vision Techniques. - Edgar Eduardo Ceh-Varela; Gandhi Hernández-Chan; Marisol Villanueva-Escalante; Giner Alor-Hernández; José Luis Sánchez-Cervantes (Res. Comput. Sci., 2017)

Recommending Packages of Multi-Criteria Items to Groups. - Edgar Eduardo Ceh-Varela; Huiping Cao (ICWS, 2019)

Recommending novel and relevant reviews to expand users' knowledge about a product. - Edgar Eduardo Ceh-Varela; Huiping Cao (WI/IAT, 2020)

Multi-criteria and Review-Based Overall Rating Prediction. - Edgar Eduardo Ceh-Varela; Huiping Cao; Tuan M. V. Le (PAKDD (2), 2021)

Composite Recommendations with Heterogeneous Graphs. - Naomi Rohrbaugh; Edgar Eduardo Ceh-Varela (SIMBig, 2021)

Performance Evaluation of Aggregation-based Group Recommender Systems for Ephemeral Groups. - Edgar Eduardo Ceh-Varela; Huiping Cao; Hady W. Lauw (ACM Trans. Intell. Syst. Technol., 2022)

Uncovering Water Research with Natural Language Processing. - Edgar Eduardo Ceh-Varela; Essa Imhmed (COMPSAC, 2023)

Evaluation of the Performance Impact of SPM Allocation on a Novel Scratchpad Memory. - Essa Imhmed; Edgar Eduardo Ceh-Varela; Jonathan E. Cook 001; Caleb Parten (COMPSAC, 2023)

Application of Project-Based Learning to a Software Engineering course in a hybrid class environment. - Edgar Eduardo Ceh-Varela; Carlos Canto-Bonilla; Dhimitraq Duni (Inf. Softw. Technol., 2023)

A Mobile App Leveraging NLP Techniques for Sci-Fi Book Recommendations. - Edgar Eduardo Ceh-Varela; Essa Imhmed; Drey Smith (J. Comput. Sci. Coll., 2024)

Fostering Code Quality Practices Among Undergraduate Novice Programmers. - Essa Imhmed; Edgar Eduardo Ceh-Varela; Hashim Abu-gellban; Scott Kilgore (J. Comput. Sci. Coll., 2024)

Boosting Stock Predictions with Sentiment Analysis and Deep Learning Models. - Sarbagya Ratna Shakya; Edgar Eduardo Ceh-Varela; Soneya Shakya; Caleb Parten; Zhaoxian Zhou (ICAIC, 2025)