Phylo2Vec: A Vector Representation for Binary Trees
Matthew J. Penn, Neil Scheidwasser, Mark P. Khurana, David A. Duchêne, Christl A. Donnelly, Samir Bhatt
A Concept at Work: A Review of Motivations, Operationalizations, and Conclusions in VR Research about Presence
Cleo Xiao, Difeng Yu, Kasper Hornbæk, Joanna Bergström
Tendon Vibration for Creating Movement Illusions in Virtual Reality
Mantas Cibulskis, Difeng Yu, Erik S. Mortensen, Waseem Hassan, Mark S. Christensen, Joanna Bergström
Ultrasound can deliver chemical stimulants to the skin and modulate their perception
Tor-Salve Dalsgaard, Arpit Bhatia, Lei Gao, Ryuji Hirayama, Sriram Subramanian, Joanna Bergström, Kasper Hornbæk
Deriving Selection Techniques for GUIs based on the Multiple Process Model
Difeng Yu, James Roberts, Kasper Hornbæk, Joanna Bergström
CHIIR '25: Proceedings of the 2025 ACM SIGIR Conference on Human Information Interaction and Retrieval
2025
From Queries to Candidates: Exploring Search and Source Interaction Behavior of Recruiters
Toine Bogers, Mesut Kaya, Maria Gäde
Bayesian Inference of Phylogenetic Distances: Revisiting the Eigenvalue Approach
Matthew J. Penn, Neil Scheidwasser, Christl A. Donnelly, David A. Duchêne, Samir Bhatt
Exploring Bidirectional Bounds for Minimax-Training of Energy-Based Models
Cong Geng, Jia Wang, Li Chen, Zhiyong Gao, Jes Frellsen, Søren Hauberg
CreepyCoCreator? Investigating AI Representation Modes for 3D Object Co-Creation in Virtual Reality
Julian Rasch, Julia Töws, Teresa Hirzle, Florian Müller, Martin Schmitz
SweetBERT: exploring BERT-based models for IUPAC glycan nomenclature modeling
Irene Rubia-Rodríguez, Henrik Nielsen, Garry P. Gippert, Kristian Barrett, Bernard Henrissat, Ole Winther
Foundation models of protein sequences: A brief overview
Andreas Bjerregaard, Peter M. Groth, Søren Hauberg, Anders Krogh, Wouter Boomsma
ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
2025
How Redundant Is the Transformer Stack in Speech Representation Models?
Teresa Dorszewski, Albert K. Jacobsen, Lenka Tětková, Lars K. Hansen
Pattern Recognition. ICPR 2024 International Workshops and Challenges (ICPR 2024)
2025
Verifying Machine Unlearning with Explainable AI
Àlex P. Vidal, Anders S. Johansen, Mohammad N. S. Jahromi, Sergio Escalera, Kamal Nasrollahi, Thomas B. Moeslund
The Conditional Cauchy-Schwarz Divergence with Applications to Time-Series Data and Sequential Decision Making
Shujian Yu, Hongming Li, Sigurd Løkse, Robert Jenssen, José C. Príncipe
SynDARin: Synthesising Datasets for Automated Reasoning in Low-Resource Languages
Gayane Ghazaryan, Erik Arakelyan, Pasquale Minervini, Isabelle Augenstein
REPEAT: Improving Uncertainty Estimation in Representation Learning Explainability
Kristoffer K. Wickstrøm, Thea Brüsch, Michael C. Kampffmeyer, Robert Jenssen
PePR: Performance Per Resource Unit as a Metric to Promote Small-scale Deep Learning
Raghavendra Selvan, Bob Pepin, Christian Igel, Gabrielle Samuel, Erik B. Dam
InteDisUX: intepretation-guided discriminative user-centric explanation for time series
Hung V. Tran, Zichi Zhang, Tuan D. Pham, Ngoc P. Doan, Anh-Tuan Hoang, Peixin Li, Hans Vandierendonck, Ira Assent, Thai S. Mai
FreqRISE: Explaining time series using frequency masking
Thea Brüsch, Kristoffer K. Wickstrøm, Mikkel N. Schmidt, Tommy S. Alstrøm, Robert Jenssen
Evaluating Input Feature Explanations through a Unified Diagnostic Evaluation Framework
Jingyi Sun, Pepa Atanasova, Isabelle Augenstein
Bounding Boxes and Probabilistic Graphical Models
Mia Siemon, Thomas B. Moeslund, Barry Norton, Kamal Nasrollahi
Assessing the Efficacy of Classical and Deep Neuroimaging Biomarkers in Early Alzheimer’s Disease Diagnosis
Milla E. Nielsen, Mads Nielsen, Mostafa M. Ghazi
Prior and Posterior Networks: A Survey on Evidential Deep Learning Methods For Uncertainty Estimation
Dennis T. Ulmer, Christian Hardmeier, Jes Frellsen
AMAES: Augmented Masked Autoencoder Pretraining on Public Brain MRI Data for 3D-Native Segmentation
Asbjørn Munk, Jakob Ambsdorf, Sebastian Llambias, Mads Nielsen
An improved analysis of per-sample and per-update clipping in federated learning
Bo Li, Xiaowen Jiang, Mikkel N. Schmidt, Tommy S. Alstrøm, Sebastian U. Stich
76-100 of 532