Search Results - "Khadka, Rabindra"

Unleashing the potential of fNIRS with machine learning: classification of fine anatomical movements to empower future brain-computer interface by Khan, Haroon, Khadka, Rabindra, Sultan, Malik Shahid, Yazidi, Anis, Ombao, Hernando, Mirtaheri, Peyman

“…In this study, we explore the potential of using functional near-infrared spectroscopy (fNIRS) signals in conjunction with modern machine-learning techniques…”
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Meta-learning with implicit gradients in a few-shot setting for medical image segmentation by Khadka, Rabindra, Jha, Debesh, Hicks, Steven, Thambawita, Vajira, Riegler, Michael A., Ali, Sharib, Halvorsen, Pål

“…Widely used traditional supervised deep learning methods require a large number of training samples but often fail to generalize on unseen datasets. Therefore,…”
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Predicting missing pairwise preferences from similarity features in group decision making by Abolghasemi, Roza, Khadka, Rabindra, Lind, Pedro G., Engelstad, Paal, Viedma, Enrique Herrera, Yazidi, Anis

“…In group decision-making (GDM), fuzzy preference relations (FPRs) refer to pairwise preferences in the form of a matrix. Within the field of GDM, the problem…”
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Emission of white-light in cubic Y4Zr3O12:Yb3+ induced by a continuous infrared laser by González, Federico, Khadka, Rabindra, López-Juárez, Rigoberto, Collins, John, Di Bartolo, Baldassare

“…In this work nanostructured powders with nominal composition Y4Zr3O12, undoped and doped at Yb3+ 1 mol%, were synthesized by the polymerizable complex method…”
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Inducing Inductive Bias in Vision Transformer for EEG Classification by Khadka, Rabindra, Lind, Pedro G., Mello, Gustavo, Riegler, Michael A., Yazidi, Anis

“…Human brain signals are highly complex and dynamic in nature. Electroencephalogram (EEG) devices capture some of this complexity, both in space and in time,…”
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Structural, mechanical, thermal and optical properties of Yb, Pr-doped Y4Zr3O12 ceramics by González, Federico, López-Juárez, Rigoberto, Orozco-Hernández, Hector D., Zarate-Medina, Juan, Khadka, Rabindra, Collins, John, Di Bartolo, Baldassare

“…In the present work, Y4Zr3O12 bulk ceramics doped with Yb3+ and Pr3+ were characterized to assess their structural, mechanical, thermal and optical properties…”
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Surface Plasmon Polariton: Dispersion and Excitation by Khadka, Rabindra

“…Surface Plasmon Polaritons (SPPs) are the excitation of the electromagnetic field at the interface between metal and dielectric due to coupling of surface…”
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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 by Haraldsen, Ira H, Hatlestad-Hall, Christoffer, Marra, Camillo, Renvall, Hanna, Maestú, Fernando, Acosta-Hernández, Jorge, Alfonsin, Soraya, Andersson, Vebjørn, Anand, Abhilash, Ayllón, Victor, Babic, Aleksandar, Belhadi, Asma, Birck, Cindy, Bruña, Ricardo, Caraglia, Naike, Carrarini, Claudia, Christensen, Erik, Cicchetti, Americo, Daugbjerg, Signe, Di Bidino, Rossella, Diaz-Ponce, Ana, Drews, Ainar, Giuffrè, Guido Maria, Georges, Jean, Gil-Gregorio, Pedro, Gove, Dianne, Govers, Tim M, Hallock, Harry, Hietanen, Marja, Holmen, Lone, Hotta, Jaakko, Kaski, Samuel, Khadka, Rabindra, Kinnunen, Antti S, Koivisto, Anne M, Kulashekhar, Shrikanth, Larsen, Denis, Liljeström, Mia, Lind, Pedro G, Marcos Dolado, Alberto, Marshall, Serena, Merz, Susanne, Miraglia, Francesca, Montonen, Juha, Mäntynen, Ville, Øksengård, Anne Rita, Olazarán, Javier, Paajanen, Teemu, Peña, José M, Peña, Luis, Peniche, Daniel Lrabien, Perez, Ana S, Radwan, Mohamed, Ramírez-Toraño, Federico, Rodríguez-Pedrero, Andrea, Saarinen, Timo, Salas-Carrillo, Mario, Salmelin, Riitta, Sousa, Sonia, Suyuthi, Abdillah, Toft, Mathias, Toharia, Pablo, Tveitstøl, Thomas, Tveter, Mats, Upreti, Ramesh, Vermeulen, Robin J, Vecchio, Fabrizio, Yazidi, Anis, Rossini, Paolo Maria

“…More than 10 million Europeans show signs of mild cognitive impairment (MCI), a transitional stage between normal brain aging and dementia stage memory…”
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DREAMS: A python framework to train deep learning models with model card reporting for medical and health applications by Khadka, Rabindra, Lind, Pedro G, Yazidi, Anis, Belhadi, Asma

“…Electroencephalography (EEG) data provides a non-invasive method for researchers and clinicians to observe brain activity in real time. The integration of deep…”
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Combining datasets to increase the number of samples and improve model fitting by Nguyen, Thu, Khadka, Rabindra, Phan, Nhan, Yazidi, Anis, Halvorsen, Pål, Riegler, Michael A

“…For many use cases, combining information from different datasets can be of interest to improve a machine learning model's performance, especially when the…”
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Combining datasets to improve model fitting by Nguyen, Thu, Khadka, Rabindra, Phan, Nhan, Yazidi, Anis, Halvorsen, Pal, Riegler, Michael A.

“…For many use cases, combining information from different datasets can be of interest to improve a machine learning model's performance, especially when the…”
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