Alireza Khanshan

11 papers B 1Journal 3Unranked 7
YearRankTypeTitle / Venue / Authors
2025 — conf
An Exploration to Enhance Response Rate and Sampling Density During ESM Experiments by Online Supervised Learning and Edge Computing on Smartwatches.
INTERACT (2)
Alireza Khanshan, Pieter Van Gorp, Panos Markopoulos
2024 J jnl
Evaluation of Code Generation for Simulating Participant Behavior in Experience Sampling Method by Iterative In-Context Learning of a Large Language Model.
Proc. ACM Hum. Comput. Interact.
Alireza Khanshan, Pieter Van Gorp, Panos Markopoulos
2024 — conf
GameBus on FHIR.
MIE
Cunliang Geng, Alireza Khanshan, Pieter Van Gorp
2023 — conf
A Case Study of Data-Enabled Design for Cardiac Telemonitoring.
ECCE
Alireza Khanshan, Lars Giling, Panos Markopoulos, Pieter Van Gorp
2023 B conf
Comparative Evaluation of Touch-Based Input Techniques for Experience Sampling on Smartwatches.
MUM
Panos Markopoulos, Alireza Khanshan, Sven Bormans, Gabriella Tisza, Ling Kang, Pieter Van Gorp
2023 — conf
Exploring the Feasibility of Data-Driven Emotion Modeling for Human Digital Twins.
PETRA
Catarina Dias De Oliveira, Alireza Khanshan, Pieter Van Gorp
2023 — conf
Simulating Participant Behavior in Experience Sampling Method Research.
CHI Extended Abstracts
Alireza Khanshan, Pieter Van Gorp, Panos Markopoulos
2022 — conf
Experiencer: An Open-Source Context-Sensitive Wearable Experience Sampling Tool.
PervasiveHealth
Alireza Khanshan, Pieter Van Gorp, Panos Markopoulos
2022 — conf
From Simulation to Reality and Back Again: A Hybrid Approach to Estimate the Compliance of ESM Study Participants to Different ESM Protocols.
EICS (Workshops)
Alireza Khanshan
2020 J jnl
Actionable knowledge discovery from social networks using causal structures of structural features.
J. Intell. Fuzzy Syst.
Nasrin Kalanat, Alireza Khanshan, Eynollah Khanjari
2020 J jnl
Extracting Actionable Knowledge From Social Networks Using Structural Features.
IEEE Access
Nasrin Kalanat, Eynollah Khanjari, Alireza Khanshan