Lailil Muflikhah

14 papers Journal 6Unranked 8

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	A Hybrid Soft Voting and Stacking-Based Meta-Learning Approach for Sentiment Analysis of Bangkalan Batik. Knowl. Eng. Data Sci. Moh. Imron Wahyudi, Lailil Muflikhah, Rizal Setya Perdana
2025	J	`jnl`	Enhanced Alzheimer's Diagnosis Using Multimodal Data: A Comparative Study of CNN Architectures. Int. J. Online Biomed. Eng. Lailil Muflikhah, Galih Restu Baihaqi, Shafatyra Shalsadilla, Achmad Ridok, Sri Soenarti
2025	J	`jnl`	High Performance of LSTM on Dengue Shock Syndrome Detection Using DNA Sequence Encoding Methods. Int. J. Online Biomed. Eng. Lailil Muflikhah, Agustin Iskandar, Novanto Yudistira, Bambang Nurdewanto
2025	—	`conf`	IDiffPose: Equilibrium Substitution for Lightweight Diffusion-Graph-Based Pose Estimation. MMAsia Nugroho Wicaksono, Lailil Muflikhah, Novanto Yudistira
2024	J	`jnl`	High Performance for Predicting Diabetic Nephropathy Using Stacking Regression of Ensemble Learning Method. Int. J. Online Biomed. Eng. Lailil Muflikhah, Amira G. Nurfansepta, Fitra Abdurrachman Bachtiar, Dian E. Ratnawati
2024	J	`jnl`	Hybrid of DiffStride and Spectral Pooling in Convolutional Neural Networks. CoRR Sulthan Rafif, Mochamad Arfan Ravy Wahyu Pratama, Mohammad Faris Azhar, Ahmad Mustafidul Ibad, Lailil Muflikhah, Novanto Yudistira
2023	—	`conf`	Application of Artificial Intelligence for Maternal and Child Disorders in Indonesia: A Review. AsiaSim (1) Diva Kurnianingtyas, Indriati, Lailil Muflikhah
2023	—	`conf`	Deep Learning Approach for High Recall Pneumonia Classification with Swin Transformer and L2 Regularization. SIET Krisna Pinasthika, Erika Yussi Sofyanda, Silfiatul Ulumiyah, Lailil Muflikhah
2023	—	`conf`	Hybrid of DiffStride and Spectral Pooling in Convolutional Neural Networks. SIET Sulthan Rafif, Mohammad Faris Azhar, Mochamad Arfan Ravy Wahyu Pratama, Ahmad Mustafidul Ibad, Novanto Yudistira, Lailil Muflikhah
2023	—	`conf`	Up Sampling Data in Bagging Tree Classification and Regression Decision Tree Method for Dengue Shock Syndrome Detection. AsiaSim (1) Lailil Muflikhah, Agustin Iskandar, Novanto Yudistira, Bambang Nur Dewanto, Isbat Uzzin Nadhori, Lisa Khoirun Nisa
2022	—	`conf`	Classification Comparison of Activity Distraction Detection in Car Driving. SIET Fitra Abdurrachman Bachtiar, Ferry Ardianto Rismawan, Erland Hilman Fuadi, Novanto Yudistira, Lailil Muflikhah
2022	J	`jnl`	Implementation of Discourse Network Analysis Related to News regarding PT Pertamina's Consumer Needs, Satisfaction, and Engagement. Int. J. Math. Math. Sci. Adji Achmad Rinaldo Fernandes, Solimun Solimun, Lailil Muflikhah
2022	—	`conf`	Indonesian Stock Prices Prediction using Bidirectional Long Short-Term Memory. SIET I Gede Angga Dinata, Novanto Yudistira, Lailil Muflikhah
2020	—	`conf`	Improving Performance for Prediction of Hepatocellular Carcinoma Using Stacking Method of Support Vector Machine. IICST Lailil Muflikhah, Agus Wahyu Widodo, Wayan Firdaus Mahmudy, Solimun

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.