Chen He

According to our database, Chen He authored at least 9 papers between 2016 and 2024.

Collaborative distances:

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

2024

A Pilot Study Comparing ChatGPT and Google Search in Supporting Visualization Insight Discovery.

Chen He, Robin Welsch, Giulio Jacucci

Proceedings of the Joint Proceedings of the ACM IUI 2024 Workshops co-located with the 29th Annual ACM Conference on Intelligent User Interfaces (IUI 2024), 2024

VMS: Interactive Visualization to Support the Sensemaking and Selection of Predictive Models.

Chen He, Vishnu Raj, Hans Moen, Tommi Gröhn, Chen Wang, Laura-Maria Peltonen, Saila Koivusalo, Pekka Marttinen, Giulio Jacucci

Proceedings of the 29th International Conference on Intelligent User Interfaces, 2024

2023

Interactive visual facets to support fluid exploratory search.

Chen He, Luana Micallef, Baris Serim, Tung Thanh Vuong, Tuukka Ruotsalo, Giulio Jacucci

J. Vis., February, 2023

2022

Characterizing Visualization Insights through Entity-Based Interaction: An Exploratory Study.

Chen He, Tung Thanh Vuong, Giulio Jacucci

CoRR, 2022

2021

Characterizing the Quality of Insight by Interactions: A Case Study.

Chen He, Luana Micallef, Liye He, Gopal Peddinti, Tero Aittokallio, Giulio Jacucci

IEEE Trans. Vis. Comput. Graph., 2021

2018

Improving genomics-based predictions for precision medicine through active elicitation of expert knowledge.

Iiris Sundin, Tomi Peltola, Luana Micallef, Homayun Afrabandpey, Marta Soare, Muntasir Mamun Majumder, Pedram Daee, Chen He, Baris Serim, Aki S. Havulinna, Caroline Heckman, Giulio Jacucci, Pekka Marttinen, Samuel Kaski

Bioinform., 2018

2017

MediSyn: uncertainty-aware visualization of multiple biomedical datasets to support drug treatment selection.

Chen He, Luana Micallef, ZiaurRehman Tanoli, Samuel Kaski, Tero Aittokallio, Giulio Jacucci

BMC Bioinform., 2017

2016

Interactive recommender systems: A survey of the state of the art and future research challenges and opportunities.

Chen He, Denis Parra, Katrien Verbert

Expert Syst. Appl., 2016

Scalable Exploration of Relevance Prospects to Support Decision Making.

Katrien Verbert, Karsten Seipp, Chen He, Denis Parra, Chirayu Wongchokprasitti, Peter Brusilovsky

Proceedings of the Joint Workshop on Interfaces and Human Decision Making for Recommender Systems co-located with ACM Conference on Recommender Systems (RecSys 2016), 2016