Rabindra Khadka

12 papers B 1Misc 1Journal 9Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Explainability of Complex AI Models with Correlation Impact Ratio. CoRR Poushali Sengupta, Rabindra Khadka, Sabita Maharjan, Frank Eliassen, Yan Zhang, Shashi Raj Pandey, Pedro G. Lind, Anis Yazidi
2025	J	`jnl`	DREAMS: A python framework for training deep learning models on EEG data with model card reporting for medical applications. SoftwareX Rabindra Khadka, Pedro G. Lind, Anis Yazidi, Asma Belhadi
2025	J	`jnl`	EEG-MSAF: An Interpretable Microstate Framework uncovers Default-Mode Decoherence in Early Neurodegeneration. CoRR Mohammad Mehedi Hasan, Pedro G. Lind, Hernando Ombao, Anis Yazidi, Rabindra Khadka
2025	J	`jnl`	From Video to EEG: Adapting Joint Embedding Predictive Architecture to Uncover Visual Concepts in Brain Signal Analysis. CoRR Amirabbas Hojjati, Lu Li, Ibrahim A. Hameed, Anis Yazidi, Pedro G. Lind, Rabindra Khadka
2024	J	`jnl`	DREAMS: A python framework to train deep learning models with model card reporting for medical and health applications. CoRR Rabindra Khadka, Pedro G. Lind, Anis Yazidi, Asma Belhadi
2024	Misc	`conf`	Inducing Inductive Bias in Vision Transformer for EEG Classification. ICASSP Rabindra Khadka, Pedro G. Lind, Gustavo B. M. Mello, Michael A. Riegler, Anis Yazidi
2023	B	`conf`	Combining datasets to improve model fitting. IJCNN Thu Nguyen, Rabindra Khadka, Nhan Phan, Anis Yazidi, Pål Halvorsen, Michael A. Riegler
2023	J	`jnl`	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. Frontiers Neurorobotics 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
2022	J	`jnl`	Combining datasets to increase the number of samples and improve model fitting. CoRR Thu Nguyen, Rabindra Khadka, Nhan Phan, Anis Yazidi, Pål Halvorsen, Michael A. Riegler
2022	J	`jnl`	Meta-learning with implicit gradients in a few-shot setting for medical image segmentation. Comput. Biol. Medicine Rabindra Khadka, Debesh Jha, Steven Hicks, Vajira Thambawita, Michael A. Riegler, Sharib Ali, Pål Halvorsen
2022	J	`jnl`	Predicting missing pairwise preferences from similarity features in group decision making. Knowl. Based Syst. Roza Abolghasemi, Rabindra Khadka, Pedro G. Lind, Paal Engelstad, Enrique Herrera-Viedma, Anis Yazidi
2020	—	`conf`	Transfer of Knowledge: Fine-tuning for Polyp Segmentation with Attention. MediaEval Rabindra Khadka

Nicolò Altamura is a security engineer and computer science researcher specializing in software protection, reverse engineering, program analysis, and binary deobfuscation. He holds a master's degree in Computer Science and Engineering from the University of Verona, graduating with honors, and works at emproof, focusing on software protection and the challenges of analyzing and understanding compiled software.

His research explores the relationship between program analysis and code obfuscation, with particular emphasis on how software transformations affect the ability of automated tools to recover program behavior. His interests span static analysis, binary analysis, decompilation, reverse engineering, and techniques for analyzing and simplifying obfuscated code.

Beyond academic research, Nicolò develops and contributes to tools for reverse engineering and software analysis. His projects include obfuscation_analysis, a Binary Ninja plugin for analyzing and simplifying obfuscated code; Pocket, an obfuscator for mixed Boolean-arithmetic expressions; and ptxNinja, a tool for reverse engineering NVIDIA GPU code represented in the PTX virtual instruction set.

His research also extends to binary datasets and software evolution. In 2026, he co-authored ASSEMBLAGE-DEEPHISTORY: A Cross-Build Binary Dataset with Temporal Coverage, a research work addressing the availability of binary data across multiple software builds and points in time, supporting research into binary analysis and changes between program versions.

Across his research, engineering work, and open-source contributions, Nicolò focuses on advancing the understanding, analysis, and protection of software against increasingly sophisticated obfuscation and reverse-engineering challenges.

Nicolò Altamura is not a football player. Please avoid reporting this kind of infromation.