Extracting Actionable Knowledge From Social Networks Using Structural Features. - Nasrin Kalanat; Eynollah Khanjari; Alireza Khanshan (IEEE Access, 2020)

Actionable knowledge discovery from social networks using causal structures of structural features. - Nasrin Kalanat; Alireza Khanshan; Eynollah Khanjari (J. Intell. Fuzzy Syst., 2020)

From Simulation to Reality and Back Again: A Hybrid Approach to Estimate the Compliance of ESM Study Participants to Different ESM Protocols. - Alireza Khanshan (EICS (Workshops), 2022)

Experiencer: An Open-Source Context-Sensitive Wearable Experience Sampling Tool. - Alireza Khanshan; Pieter Van Gorp; Panos Markopoulos 001 (PervasiveHealth, 2022)

Simulating Participant Behavior in Experience Sampling Method Research. - Alireza Khanshan; Pieter Van Gorp; Panos Markopoulos 001 (CHI Extended Abstracts, 2023)

A Case Study of Data-Enabled Design for Cardiac Telemonitoring. - Alireza Khanshan; Lars Giling; Panos Markopoulos 001; Pieter Van Gorp (ECCE, 2023)

Comparative Evaluation of Touch-Based Input Techniques for Experience Sampling on Smartwatches. - Panos Markopoulos 001; Alireza Khanshan; Sven Bormans; Gabriella Tisza; Ling Kang; Pieter Van Gorp (MUM, 2023)

Exploring the Feasibility of Data-Driven Emotion Modeling for Human Digital Twins. - Catarina Dias De Oliveira; Alireza Khanshan; Pieter Van Gorp (PETRA, 2023)

GameBus on FHIR. - Cunliang Geng; Alireza Khanshan; Pieter Van Gorp (MIE, 2024)

Evaluation of Code Generation for Simulating Participant Behavior in Experience Sampling Method by Iterative In-Context Learning of a Large Language Model. - Alireza Khanshan; Pieter Van Gorp; Panos Markopoulos 001 (Proc. ACM Hum. Comput. Interact., 2024)