Rabindra Khadka

According to our database, Rabindra Khadka authored at least 10 papers between 2020 and 2025.

Collaborative distances:

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

2025

From Video to EEG: Adapting Joint Embedding Predictive Architecture to Uncover Visual Concepts in Brain Signal Analysis.

Amirabbas Hojjati, Lu Li, Ibrahim A. Hameed, Anis Yazidi, Pedro G. Lind, Rabindra Khadka

CoRR, July, 2025

DREAMS: A python framework for training deep learning models on EEG data with model card reporting for medical applications.

Rabindra Khadka, Pedro G. Lind, Anis Yazidi, Asma Belhadi

SoftwareX, 2025

2024

DREAMS: A python framework to train deep learning models with model card reporting for medical and health applications.

Rabindra Khadka, Pedro G. Lind, Anis Yazidi, Asma Belhadi

CoRR, 2024

Inducing Inductive Bias in Vision Transformer for EEG Classification.

Rabindra Khadka, Pedro G. Lind, Gustavo B. M. Mello, Michael A. Riegler, Anis Yazidi

Proceedings of the IEEE International Conference on Acoustics, 2024

2023

Intelligent digital tools for screening of brain connectivity and dementia risk estimation in people affected by mild cognitive impairment: the AI-Mind clinical study protocol.

Ira R. J. Hebold Haraldsen, Christoffer Hatlestad-Hall, Camillo Marra, Hanna Renvall, Fernando Maestú, Jorge Acosta-Hernández, Soraya Alfonsin, Vebjørn Andersson, Abhilash Anand, Victor Ayllón, Aleksandar Babic, Asma Belhadi, Cindy Birck, Ricardo Bruña, Naike Caraglia, Claudia Carrarini, Erik Christensen, Americo Cicchetti, Signe Daugbjerg, Rossella Di Bidino, Ana Diaz-Ponce, Ainar Drews, Guido Maria Giuffrè, Jean Georges, Pedro Gil-Gregorio, Dianne Gove, Tim M. Govers, Harry Hallock, Marja Hietanen, Lone Holmen, Jaakko Hotta, Samuel Kaski, Rabindra Khadka, Antti S. Kinnunen, Anne M. Koivisto, Shrikanth Kulashekhar, Denis Larsen, Mia Liljeström, Pedro G. Lind, Alberto Marcos Dolado, Serena Elizabeth Marshall, Susanne Merz, Francesca Miraglia, Juha Montonen, Ville Mäntynen, Anne Rita Øksengård, Javier Olazarán, Teemu Paajanen, José M. Peña, Luís Peña, Daniel lrabien Peniche, Ana S. Pérez, Mohamed Radwan, Federico Ramírez-Toraño, Andrea Rodríguez-Pedrero, Timo Saarinen, Mario Salas-Carrillo, Riitta Salmelin, Sonia C. Sousa, Abdillah Suyuthi, Mathias Toft, Pablo Toharia, Thomas Tveitstøl, Mats Tveter, Ramesh Upreti, Robin J. Vermeulen, Fabrizio Vecchio, Anis Yazidi, Paolo Maria Rossini

Frontiers Neurorobotics, June, 2023

Combining datasets to improve model fitting.

Thu Nguyen, Rabindra Khadka, Nhan Phan, Anis Yazidi, Pål Halvorsen, Michael A. Riegler

Proceedings of the International Joint Conference on Neural Networks, 2023

2022

Predicting missing pairwise preferences from similarity features in group decision making.

Roza Abolghasemi, Rabindra Khadka, Pedro G. Lind, Paal Engelstad, Enrique Herrera-Viedma, Anis Yazidi

Knowl. Based Syst., 2022

Combining datasets to increase the number of samples and improve model fitting.

Thu Nguyen, Rabindra Khadka, Nhan Phan, Anis Yazidi, Pål Halvorsen, Michael A. Riegler

CoRR, 2022

Meta-learning with implicit gradients in a few-shot setting for medical image segmentation.

Rabindra Khadka, Debesh Jha, Steven Hicks, Vajira Thambawita, Michael A. Riegler, Sharib Ali, Pål Halvorsen

Comput. Biol. Medicine, 2022

2020

Transfer of Knowledge: Fine-tuning for Polyp Segmentation with Attention.

Rabindra Khadka

Proceedings of the Working Notes Proceedings of the MediaEval 2020 Workshop, 2020