Bagus Tris Atmaja

35 papers C 5Misc 2Journal 14Unranked 14

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	A Comparison of Solicited and Longitudinal Cough Sounds for Tuberculosis Detection. APSIPA Aprianto Dwi Prasetyo, Bagus Tris Atmaja, Dhany Arifianto, Sakriani Sakti
2025	—	`conf`	Dementia Prediction From Speech Signal Using Optimized Prosodic Features. APSIPA Bagus Tris Atmaja, Sakriani Sakti
2025	J	`jnl`	Nkululeko 1.0: A Python package to predict speaker characteristics with a high-level interface. J. Open Source Softw. Felix Burkhardt, Bagus Tris Atmaja
2025	—	`conf`	Pathological Voice Detection From Sustained Vowels: Handcrafted vs. Self-supervised Learning. ICASSP Workshops Bagus Tris Atmaja, Akira Sasou
2025	—	`conf`	Performance-Weighted Ensemble Learning for Speech Classification. ICAIIC Bagus Tris Atmaja, Akira Sasou, Felix Burkhardt
2024	—	`conf`	Check Your Audio Data: Nkululeko for Bias Detection. O-COCOSDA Felix Burkhardt, Bagus Tris Atmaja, Anna Derington, Florian Eyben, Björn W. Schuller
2024	C	`conf`	Evaluating Hyperparameter Optimization for Machinery Anomalous Sound Detection. TENCON Bagus Tris Atmaja
2024	—	`conf`	Feature-wise Optimization and Performance-weighted Multimodal Fusion for Social Perception Recognition. MuSe@ACM Multimedia Bagus Tris Atmaja
2024	C	`conf`	Multi-Label Emotion Share Regression from Speech Using Pre-Trained Self-Supervised Learning Models. TENCON Bagus Tris Atmaja, Akira Sasou
2024	—	`conf`	Uncertainty-Based Ensemble Learning for Speech Classification. O-COCOSDA Bagus Tris Atmaja, Akira Sasou, Felix Burkhardt
2023	—	`conf`	Ensembling Multilingual Pre-Trained Models for Predicting Multi-Label Regression Emotion Share from Speech. APSIPA ASC Bagus Tris Atmaja, Akira Sasou
2023	J	`jnl`	Ensembling Multilingual Pre-Trained Models for Predicting Multi-Label Regression Emotion Share from Speech. CoRR Bagus Tris Atmaja, Akira Sasou
2023	Misc	`conf`	Evaluating Variants of wav2vec 2.0 on Affective Vocal Burst Tasks. ICASSP Bagus Tris Atmaja, Akira Sasou
2023	—	`conf`	Multilingual, Cross-lingual, and Monolingual Speech Emotion Recognition on EmoFilm Dataset. APSIPA ASC Bagus Tris Atmaja, Akira Sasou
2022	J	`jnl`	Cross-dataset COVID-19 Transfer Learning with Cough Detection, Cough Segmentation, and Data Augmentation. CoRR Bagus Tris Atmaja, Zanjabila, Suyanto, Akira Sasou
2022	J	`jnl`	Effect of different splitting criteria on the performance of speech emotion recognition. CoRR Bagus Tris Atmaja, Akira Sasou
2022	J	`jnl`	Effects of Data Augmentations on Speech Emotion Recognition. Sensors Bagus Tris Atmaja, Akira Sasou
2022	J	`jnl`	Evaluating Self-Supervised Speech Representations for Speech Emotion Recognition. IEEE Access Bagus Tris Atmaja, Akira Sasou
2022	—	`conf`	Jointly Predicting Emotion, Age, and Country Using Pre-Trained Acoustic Embedding. ACIIW Bagus Tris Atmaja, Zanjabila, Akira Sasou
2022	J	`jnl`	Lab-scale Vibration Analysis Dataset and Baseline Methods for Machinery Fault Diagnosis with Machine Learning. CoRR Bagus Tris Atmaja, Haris Ihsannur, Suyanto, Dhany Arifianto
2022	J	`jnl`	Sentiment Analysis and Emotion Recognition from Speech Using Universal Speech Representations. Sensors Bagus Tris Atmaja, Akira Sasou
2022	J	`jnl`	Speech Emotion and Naturalness Recognitions With Multitask and Single-Task Learnings. IEEE Access Bagus Tris Atmaja, Akira Sasou, Masato Akagi
2022	J	`jnl`	Survey on bimodal speech emotion recognition from acoustic and linguistic information fusion. Speech Commun. Bagus Tris Atmaja, Akira Sasou, Masato Akagi
2022	J	`jnl`	Two-stage dimensional emotion recognition by fusing predictions of acoustic and text networks using SVM. CoRR Bagus Tris Atmaja, Masato Akagi
2021	—	`conf`	Automatic Naturalness Recognition from Acted Speech Using Neural Networks. APSIPA ASC Bagus Tris Atmaja, Akira Sasou, Masato Akagi
2021	C	`conf`	Effect of different splitting criteria on the performance of speech emotion recognition. TENCON Bagus Tris Atmaja, Akira Sasou
2021	J	`jnl`	Two-stage dimensional emotion recognition by fusing predictions of acoustic and text networks using SVM. Speech Commun. Bagus Tris Atmaja, Masato Akagi
2020	—	`conf`	Deep Multilayer Perceptrons for Dimensional Speech Emotion Recognition. APSIPA Bagus Tris Atmaja, Masato Akagi
2020	—	`conf`	Improving Valence Prediction in Dimensional Speech Emotion Recognition Using Linguistic Information. O-COCOSDA Bagus Tris Atmaja, Masato Akagi
2020	Misc	`conf`	Multitask Learning and Multistage Fusion for Dimensional Audiovisual Emotion Recognition. ICASSP Bagus Tris Atmaja, Masato Akagi
2020	C	`conf`	On The Differences Between Song and Speech Emotion Recognition: Effect of Feature Sets, Feature Types, and Classifiers. TENCON Bagus Tris Atmaja, Masato Akagi
2020	C	`conf`	Predicting Valence and Arousal by Aggregating Acoustic Features for Acoustic-Linguistic Information Fusion. TENCON Bagus Tris Atmaja, Yasuhiro Hamada, Masato Akagi
2020	J	`jnl`	The Effect of Silence Feature in Dimensional Speech Emotion Recognition. CoRR Bagus Tris Atmaja, Masato Akagi
2019	—	`conf`	Speech Emotion Recognition Using Speech Feature and Word Embedding. APSIPA Bagus Tris Atmaja, Kiyoaki Shirai, Masato Akagi
2012	J	`jnl`	Fusion of artificial neural network and fuzzy system for short term weather forecasting. Int. J. Inf. Commun. Technol. Budiman P. A. Rohman, Bagus Tris Atmaja, Syahroni Hidayat

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.