Yagya Raj Pandeya

16 papers Journal 11Unranked 5

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Deep Dive Into Music Videos: Hierarchical Emotion Recognition With Rich Audio and Visual Features. Int. J. Intell. Syst. Yagya Raj Pandeya, Ashim Gelal, Harish Chandra Bhandari, Priya Pandey
2025	J	`jnl`	Local Herb Identification Using Transfer Learning: A CNN-Powered Mobile Application for Nepalese Flora. CoRR Prajwal Thapa, Mridul Sharma, Jinu Nyachhyon, Yagya Raj Pandeya
2024	J	`jnl`	GlocalEmoNet: An optimized neural network for music emotion classification and segmentation using timbre and chroma features. Multim. Tools Appl. Yagya Raj Pandeya, Joonwhoan Lee
2023	J	`jnl`	Deep Learning based Tomato Disease Detection and Remedy Suggestions using Mobile Application. CoRR Yagya Raj Pandeya, Samin Karki, Ishan Dangol, Nitesh Rajbanshi
2023	J	`jnl`	High-Resolution Representation Learning and Recurrent Neural Network for Singing Voice Separation. Circuits Syst. Signal Process. Bhuwan Bhattarai, Yagya Raj Pandeya, Jie You, Arjun Kumar Lamichhane, Joonwhoan Lee
2021	—	`conf`	An Incremental Learning for Plant Disease classification. ICTC Bhuwan Bhattarai, Yagya Raj Pandeya, Joonwhoan Lee
2021	J	`jnl`	An Instance Segmentation Model for Strawberry Diseases Based on Mask R-CNN. Sensors Usman Afzaal, Bhuwan Bhattarai, Yagya Raj Pandeya, Joonwhoan Lee
2021	—	`conf`	Deep Learning-based Face Mask Detection Using Automated GUI for COVID-19. ICMLT Bhuwan Bhattarai, Yagya Raj Pandeya, Joonwhoan Lee
2021	J	`jnl`	Deep learning-based late fusion of multimodal information for emotion classification of music video. Multim. Tools Appl. Yagya Raj Pandeya, Joonwhoan Lee
2021	J	`jnl`	Deep-Learning-Based Multimodal Emotion Classification for Music Videos. Sensors Yagya Raj Pandeya, Bhuwan Bhattarai, Joonwhoan Lee
2021	—	`conf`	Multi-modal, Multi-task and Multi-label for Music Genre Classification and Emotion Regression. ICTC Yagya Raj Pandeya, Jie You, Bhuwan Bhattarai, Joonwhoan Lee
2021	—	`conf`	Music Emotion Classification with Deep Neural Nets. ICMLT Yagya Raj Pandeya, Bhuwan Bhattarai, Joonwhoan Lee
2020	J	`jnl`	Parallel Stacked Hourglass Network for Music Source Separation. IEEE Access Bhuwan Bhattarai, Yagya Raj Pandeya, Joonwhoan Lee
2020	—	`conf`	Sound Event Detection in Cowshed using Synthetic Data and Convolutional Neural Network. ICTC Yagya Raj Pandeya, Bhuwan Bhattarai, Joonwhoan Lee
2020	J	`jnl`	Visual Object Detector for Cow Sound Event Detection. IEEE Access Yagya Raj Pandeya, Bhuwan Bhattarai, Joonwhoan Lee
2018	J	`jnl`	Domestic Cat Sound Classification Using Transfer Learning. Int. J. Fuzzy Log. Intell. Syst. Yagya Raj Pandeya, Joonwhoan Lee

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.