Robust Fast Subclass Discriminant Analysis. - Kateryna Chumachenko; Alexandros Iosifidis; Moncef Gabbouj (EUSIPCO, 2020)

Incremental Fast Subclass Discriminant Analysis. - Kateryna Chumachenko; Jenni Raitoharju; Moncef Gabbouj; Alexandros Iosifidis (ICIP, 2020)

Machine Learning Based Analysis of Finnish World War II Photographers. - Kateryna Chumachenko; Anssi Männistö; Alexandros Iosifidis; Jenni Raitoharju (IEEE Access, 2020)

Learning to ignore: rethinking attention in CNNs. - Firas Laakom; Kateryna Chumachenko; Jenni Raitoharju; Alexandros Iosifidis; Moncef Gabbouj (BMVC, 2021)

Ensembling Object Detectors for Image and Video Data Analysis. - Kateryna Chumachenko; Jenni Raitoharju; Alexandros Iosifidis; Moncef Gabbouj (ICASSP, 2021)

Speed-up and multi-view extensions to subclass discriminant analysis. - Kateryna Chumachenko; Jenni Raitoharju; Alexandros Iosifidis; Moncef Gabbouj (Pattern Recognit., 2021)

Weighted Edit Distance for Country Code Recognition in License Plates. - Kateryna Chumachenko; Alexandros Iosifidis; Moncef Gabbouj (EUSIPCO, 2022)

Self-attention fusion for audiovisual emotion recognition with incomplete data. - Kateryna Chumachenko; Alexandros Iosifidis; Moncef Gabbouj (ICPR, 2022)

Self-Attention Neural Bag-of-Features. - Kateryna Chumachenko; Alexandros Iosifidis; Moncef Gabbouj (MLSP, 2022)

Feedforward neural networks initialization based on discriminant learning. - Kateryna Chumachenko; Alexandros Iosifidis; Moncef Gabbouj (Neural Networks, 2022)

Improving Unimodal Inference with Multimodal Transformers. - Kateryna Chumachenko; Alexandros Iosifidis; Moncef Gabbouj (CoRR, 2023)

MMA-DFER: MultiModal Adaptation of unimodal models for Dynamic Facial Expression Recognition in-the-wild. - Kateryna Chumachenko; Alexandros Iosifidis; Moncef Gabbouj (CVPR Workshops, 2024)

Uimt: A Framework for Improving Unimodal Inference via Multimodal Training. - Kateryna Chumachenko; Alexandros Iosifidis; Moncef Gabbouj (ICIP, 2024)

Machine Learning Methods for Heterogeneous Data: Multimodal deep learning and dimensionality reduction. - Kateryna Chumachenko (2024)

Éclair - Extracting Content and Layout with Integrated Reading Order for Documents. - Ilia Karmanov; Amala Sanjay Deshmukh; Lukas Voegtle; Philipp Fischer; Kateryna Chumachenko; Timo Roman; Jarno Seppänen; Jupinder Parmar; Joseph Jennings; Andrew Tao; Karan Sapra (CoRR, 2025)

Nemotron-H: A Family of Accurate and Efficient Hybrid Mamba-Transformer Models. - Aaron Blakeman; Aarti Basant; Abhinav Khattar; Adithya Renduchintala; Akhiad Bercovich; Aleksander Ficek; Alexis Bjorlin; Ali Taghibakhshi; Amala Sanjay Deshmukh; Ameya Sunil Mahabaleshwarkar; Andrew Tao; Anna Shors; et al. (CoRR, 2025)