About
For an overview of my publications, students, teaching, etc., see my homepage: http://home.simula.no/~paalh/
Visiting address: SimulaMet, Stensberggata 27, 0170 Oslo
(https://www.simulamet.no/about/contact)
Fields of study
Academic disciplines
Computer technology Forensic psychology Information and communication technology Communication and distributed systems Information and communication systems Information and communication science Gastroenterology Mathematics and natural scienses Simulation, visualisation, signal processing, image analysis Sports medicine
Subject areas
Informatics Distributed multimedia systems Communication Data communication Distributed multimedia Communication systems Operating systems
Research projects
Completed research projects
-
Professionals interviewing maltreated children supported via artificial avatars
The project proposes to develop a new digital interview-training program drawing on expertise in developmental psychology and artificial intelligence
Publications and research
Scientific publications
Houshmand Sarkhoosh, Mehdi;
Gautam, Sushant
; Midoglu, Cise; Sabet, Saeed Shafiee; Kupka, Tomas;
Halvorsen, Pål
(2025).
HockeyRink: A Dataset for Precise Ice Hockey Rink Keypoint Mapping and Analytics.
Engelbrecht, Herman; Rossi, Silvia; Gunkel, Simon N. B. (Ed.).
MMSys '25: Proceedings of the 16th ACM Multimedia Systems Conference.
Association for Computing Machinery (ACM).
https://doi.org/10.1145/3712676.3718338
Houshmand Sarkhoosh, Mehdi;
Gautam, Sushant
; Midoglu, Cise; Sabet, Saeed Shafiee; Kupka, Tomas;
Halvorsen, Pål
(2025).
HockeyAI: A Multi-Class Ice Hockey Dataset for Object Detection.
Engelbrecht, Herman; Rossi, Silvia; Gunkel, Simon N. B. (Ed.).
MMSys '25: Proceedings of the 16th ACM Multimedia Systems Conference.
Association for Computing Machinery (ACM).
https://doi.org/10.1145/3712676.3718335
Houshmand Sarkhoosh, Mehdi;
Gautam, Sushant
; Midoglu, Cise; Sabet, Saeed Shafiee; Kupka, Tomas;
Halvorsen, Pål
(2025).
HockeyOrient: A Dataset for Ice Hockey Player Orientation Classification.
Engelbrecht, Herman; Rossi, Silvia; Gunkel, Simon N. B. (Ed.).
MMSys '25: Proceedings of the 16th ACM Multimedia Systems Conference.
Association for Computing Machinery (ACM).
https://doi.org/10.1145/3712676.3718342
Borgli, Hanna; Stensland, Håkon Kvale;
Halvorsen, Pål
(2025).
Automatic Prompt Generation Using Class Activation Maps for Foundational Models: A Polyp Segmentation Case Study.
Machine Learning and Knowledge Extraction.
Vol. 7.
https://doi.org/10.3390/make7010022
Brubacher, Sonja P; Powell, Martine;
Sinkerud Johnson, Miriam
; Cano, Cayetana López; Zohaib Hassan, Syed; Riegler, Michael;
Riegler, Michael Alexander
;
Halvorsen, Pål
;
Baugerud, Gunn Astrid
(2025).
Experts' Views on Artifical Intelligence-Based Child Chatbots to Train Investigative Interviewing Skills.
Applied Cognitive Psychology.
Vol. 39.
https://doi.org/10.1002/acp.70048
Papachrysos, Nikolaos; Smedsrud, Pia Helen; Ånonsen, Kim Vidar; Berstad, Tor Jan; Espeland, Håvard; Petlund, Andreas; Hedenström, Per;
Halvorsen, Pål
; Varkey, Jonas;
Hammer, Hugo Lewi
;
Riegler, Michael Alexander
; de Lange, Thomas
(2025).
A comparative study benchmarking colon polyp with computer-aided detection (CADe) software.
DEN Open.
Vol. 5.
https://doi.org/10.1002/deo2.70061
Garcia-Ceja, Enrique; Stautland, Andrea;
Riegler, Michael
;
Halvorsen, Pål
; Hinojosa, Salvador; Ochoa-Ruiz, Gilberto; Berle, Jan Øystein; Førland, Wenche; Mjeldheim, Kristin; Ødegaard, Ketil Joachim; Jakobsen, Petter
(2025).
OBF-Psychiatric, a motor activity dataset of patients diagnosed with major depression, schizophrenia, and ADHD.
Scientific Data.
Vol. 12.
https://doi.org/10.1038/s41597-025-04384-3
Chatterjee, Ayan; Thambawita, Vajira L B;
Riegler, Michael
;
Halvorsen, Pål
(2025).
Supervised Anomaly Detection in Univariate Time-Series Using 1D Convolutional Siamese Networks.
IEEE Access.
Vol. 13.
https://doi.org/10.1109/ACCESS.2025.3561375
Torpmann-Hagen, Birk Sebastian Frostelid;
Riegler, Michael Alexander
;
Halvorsen, Pål
; Johansen, Dag
(2025).
Runtime Verification for Visual Deep Learning Systems With Loss Prediction.
IEEE Access.
https://doi.org/10.1109/ACCESS.2025.3552157
Lien, Le; Nguyen, Thu;
Riegler, Michael Alexander
;
Halvorsen, Pål
; Nguyen, Binh
(2025).
Multimodal missing data in healthcare: A comprehensive review and future directions.
Computer Science Review.
Vol. 56.
https://doi.org/10.1016/j.cosrev.2024.100720