Adria Mallol-Ragolta

45 papers A* 1A 5B 5C 1Misc 2Journal 20Unranked 11

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	Early Detection of ALS in Absence of Speech Impairments with Computer Audition. AIME (1) Adria Mallol-Ragolta, Monica González Machorro, Ricarda von Heynitz, Katia Scherzer, Isabell Cordts, Björn W. Schuller
2025	C	`conf`	ProtoCLAP - Prototypical Contrastive Language-Audio Pretraining. ASRU Adria Mallol-Ragolta, Björn W. Schuller
2025	J	`jnl`	Reading Smiles: Proxy Bias in Foundation Models for Facial Emotion Recognition. IEEE Access Iosif Tsangko, Andreas Triantafyllopoulos, Adria Mallol-Ragolta, Björn W. Schuller
2025	J	`jnl`	Reading Smiles: Proxy Bias in Foundation Models for Facial Emotion Recognition. CoRR Iosif Tsangko, Andreas Triantafyllopoulos, Adem Abdelmoula, Adria Mallol-Ragolta, Björn W. Schuller
2024	J	`jnl`	Affective Computing Has Changed: The Foundation Model Disruption. CoRR Björn W. Schuller, Adria Mallol-Ragolta, Alejandro Peña Almansa, Iosif Tsangko, Mostafa M. Amin, Anastasia Semertzidou, Lukas Christ, Shahin Amiriparian
2024	J	`jnl`	Coupling Sentiment and Arousal Analysis Towards an Affective Dialogue Manager. IEEE Access Adria Mallol-Ragolta, Björn W. Schuller
2024	—	`conf`	Personalised Anomaly Detectors and Prototypical Representations for Relapse Detection from Wearable-Based Digital Phenotyping. ICASSP Workshops Adria Mallol-Ragolta, Anika A. Spiesberger, Andreas Triantafyllopoulos, Björn W. Schuller
2024	—	`conf`	Towards Predicting Menstrual Cycle Phases Exploiting Paralinguistic Features. EMBC Anika A. Spiesberger, Adria Mallol-Ragolta, Andreas Triantafyllopoulos, Björn W. Schuller
2023	Misc	`conf`	COVID-19 Detection from Speech in Noisy Conditions. ICASSP Shuo Liu, Adria Mallol-Ragolta, Björn W. Schuller
2023	J	`jnl`	HEAR4Health: A blueprint for making computer audition a staple of modern healthcare. CoRR Andreas Triantafyllopoulos, Alexander Kathan, Alice Baird, Lukas Christ, Alexander Gebhard, Maurice Gerczuk, Vincent Karas, Tobias Hübner, Xin Jing, Shuo Liu, Adria Mallol-Ragolta, Manuel Milling, Sandra Ottl, Anastasia Semertzidou, Srividya Tirunellai Rajamani, Tianhao Yan, Zijiang Yang, Judith Dineley, Shahin Amiriparian, Katrin D. Bartl-Pokorny, Anton Batliner, Florian B. Pokorny, Björn W. Schuller
2023	J	`jnl`	HEAR4Health: a blueprint for making computer audition a staple of modern healthcare. Frontiers Digit. Health Andreas Triantafyllopoulos, Alexander Kathan, Alice Baird, Lukas Christ, Alexander Gebhard, Maurice Gerczuk, Vincent Karas, Tobias Hübner, Xin Jing, Shuo Liu, Adria Mallol-Ragolta, Manuel Milling, Sandra Ottl, Anastasia Semertzidou, Srividya Tirunellai Rajamani, Tianhao Yan, Zijiang Yang, Judith Dineley, Shahin Amiriparian, Katrin D. Bartl-Pokorny, Anton Batliner, Florian B. Pokorny, Björn W. Schuller
2023	A	`conf`	The MASCFLICHT Corpus: Face Mask Type and Coverage Area Recognition from Speech. INTERSPEECH Adria Mallol-Ragolta, Nils Urbach, Shuo Liu, Anton Batliner, Björn W. Schuller
2022	J	`jnl`	Audio Self-supervised Learning: A Survey. CoRR Shuo Liu, Adria Mallol-Ragolta, Emilia Parada-Cabaleiro, Kun Qian, Xin Jing, Alexander Kathan, Bin Hu, Björn W. Schuller
2022	J	`jnl`	Audio self-supervised learning: A survey. Patterns Shuo Liu, Adria Mallol-Ragolta, Emilia Parada-Cabaleiro, Kun Qian, Xin Jing, Alexander Kathan, Bin Hu, Björn W. Schuller
2022	—	`conf`	COVID-19 Detection Exploiting Self-Supervised Learning Representations of Respiratory Sounds. BHI Adria Mallol-Ragolta, Shuo Liu, Björn W. Schuller
2022	J	`jnl`	Capturing Time Dynamics From Speech Using Neural Networks for Surgical Mask Detection. IEEE J. Biomed. Health Informatics Shuo Liu, Adria Mallol-Ragolta, Tianhao Yan, Kun Qian, Emilia Parada-Cabaleiro, Bin Hu, Björn W. Schuller
2022	J	`jnl`	Continuous-Time Audiovisual Fusion with Recurrence vs. Attention for In-The-Wild Affect Recognition. CoRR Vincent Karas, Mani Kumar Tellamekala, Adria Mallol-Ragolta, Michel F. Valstar, Björn W. Schuller
2022	J	`jnl`	Face mask recognition from audio: The MASC database and an overview on the mask challenge. Pattern Recognit. Mostafa M. Mohamed, Mina A. Nessiem, Anton Batliner, Christian Bergler, Simone Hantke, Maximilian Schmitt, Alice Baird, Adria Mallol-Ragolta, Vincent Karas, Shahin Amiriparian, Björn W. Schuller
2022	A	`conf`	Multi-Type Outer Product-Based Fusion of Respiratory Sounds for Detecting COVID-19. INTERSPEECH Adria Mallol-Ragolta, Helena Cuesta, Emilia Gómez, Björn W. Schuller
2022	—	`conf`	Online Personalisation of Deep Mobile Activity Recognisers. iWOAR Manuel Milling, Ilhan Aslan, Moritz Berghofer, Adria Mallol-Ragolta, Utkarsh Kunwar, Björn Wolfgang Schuller
2022	J	`jnl`	Outer Product-Based Fusion of Smartwatch Sensor Data for Human Activity Recognition. Frontiers Comput. Sci. Adria Mallol-Ragolta, Anastasia Semertzidou, Maria Pateraki, Björn W. Schuller
2022	A*	`conf`	The ACM Multimedia 2022 Computational Paralinguistics Challenge: Vocalisations, Stuttering, Activity, & Mosquitoes. ACM Multimedia Björn W. Schuller, Anton Batliner, Shahin Amiriparian, Christian Bergler, Maurice Gerczuk, Natalie Holz, Pauline Larrouy-Maestri, Sebastian P. Bayerl, Korbinian Riedhammer, Adria Mallol-Ragolta, Maria Pateraki, Harry Coppock, Ivan Kiskin, Marianne Sinka, Stephen J. Roberts
2022	J	`jnl`	The ACM Multimedia 2022 Computational Paralinguistics Challenge: Vocalisations, Stuttering, Activity, & Mosquitoes. CoRR Björn W. Schuller, Anton Batliner, Shahin Amiriparian, Christian Bergler, Maurice Gerczuk, Natalie Holz, Pauline Larrouy-Maestri, Sebastian P. Bayerl, Korbinian Riedhammer, Adria Mallol-Ragolta, Maria Pateraki, Harry Coppock, Ivan Kiskin, Marianne Sinka, Stephen J. Roberts
2022	—	`conf`	Time-Continuous Audiovisual Fusion with Recurrence vs Attention for In-The-Wild Affect Recognition. CVPR Workshops Vincent Karas, Mani Kumar Tellamekala, Adria Mallol-Ragolta, Michel F. Valstar, Björn W. Schuller
2022	—	`conf`	Triplet Loss-Based Models for COVID-19 Detection from Vocal Sounds. EMBC Adria Mallol-Ragolta, Florian B. Pokorny, Katrin D. Bartl-Pokorny, Anastasia Semertzidou, Björn W. Schuller
2021	Misc	`conf`	A Novel Attention-Based Gated Recurrent Unit and its Efficacy in Speech Emotion Recognition. ICASSP Srividya Tirunellai Rajamani, Kumar T. Rajamani, Adria Mallol-Ragolta, Shuo Liu, Björn W. Schuller
2021	—	`conf`	COVID-19 Detection with a Novel Multi-Type Deep Fusion Method using Breathing and Coughing Information. EMBC Shuo Liu, Adria Mallol-Ragolta, Björn W. Schuller
2021	A	`conf`	Cough-Based COVID-19 Detection with Contextual Attention Convolutional Neural Networks and Gender Information. Interspeech Adria Mallol-Ragolta, Helena Cuesta, Emilia Gómez, Björn W. Schuller
2021	J	`jnl`	EIHW-MTG DiCOVA 2021 Challenge System Report. CoRR Adria Mallol-Ragolta, Helena Cuesta, Emilia Gómez, Björn W. Schuller
2021	J	`jnl`	EIHW-MTG: Second DiCOVA Challenge System Report. CoRR Adria Mallol-Ragolta, Helena Cuesta, Emilia Gómez, Björn W. Schuller
2021	J	`jnl`	Frustration recognition from speech during game interaction using wide residual networks. Virtual Real. Intell. Hardw. Meishu Song, Adria Mallol-Ragolta, Emilia Parada-Cabaleiro, Zijiang Yang, Shuo Liu, Zhao Ren, Ziping Zhao, Björn W. Schuller
2021	—	`conf`	The Filtering Effect of Face Masks in their Detection from Speech. EMBC Adria Mallol-Ragolta, Shuo Liu, Björn W. Schuller
2021	B	`conf`	harAGE: A Novel Multimodal Smartwatch-based Dataset for Human Activity Recognition. FG Adria Mallol-Ragolta, Anastasia Semertzidou, Maria Pateraki, Björn W. Schuller
2020	B	`conf`	A Curriculum Learning Approach for Pain Intensity Recognition from Facial Expressions. FG Adria Mallol-Ragolta, Shuo Liu, Nicholas Cummins, Björn W. Schuller
2020	J	`jnl`	Adversarial-based neural networks for affect estimations in the wild. CoRR Decky Aspandi, Adria Mallol-Ragolta, Björn W. Schuller, Xavier Binefa
2020	A	`conf`	An Investigation of Cross-Cultural Semi-Supervised Learning for Continuous Affect Recognition. INTERSPEECH Adria Mallol-Ragolta, Nicholas Cummins, Björn W. Schuller
2020	B	`conf`	Latent-Based Adversarial Neural Networks for Facial Affect Estimations. FG Decky Aspandi, Adria Mallol-Ragolta, Björn W. Schuller, Xavier Binefa
2020	J	`jnl`	MuSe 2020 - The First International Multimodal Sentiment Analysis in Real-life Media Challenge and Workshop. CoRR Lukas Stappen, Alice Baird, Georgios Rizos, Panagiotis Tzirakis, Xinchen Du, Felix Hafner, Lea Schumann, Adria Mallol-Ragolta, Björn W. Schuller, Iulia Lefter, Erik Cambria, Ioannis Kompatsiaris
2020	—	`conf`	MuSe 2020 Challenge and Workshop: Multimodal Sentiment Analysis, Emotion-target Engagement and Trustworthiness Detection in Real-life Media: Emotional Car Reviews in-the-wild. MuSe @ ACM Multimedia Lukas Stappen, Alice Baird, Georgios Rizos, Panagiotis Tzirakis, Xinchen Du, Felix Hafner, Lea Schumann, Adria Mallol-Ragolta, Björn W. Schuller, Iulia Lefter, Erik Cambria, Ioannis Kompatsiaris
2019	A	`conf`	A Hierarchical Attention Network-Based Approach for Depression Detection from Transcribed Clinical Interviews. INTERSPEECH Adria Mallol-Ragolta, Ziping Zhao, Lukas Stappen, Nicholas Cummins, Björn W. Schuller
2019	—	`conf`	AVEC 2019 Workshop and Challenge: State-of-Mind, Detecting Depression with AI, and Cross-Cultural Affect Recognition. AVEC@MM Fabien Ringeval, Björn W. Schuller, Michel F. Valstar, Nicholas Cummins, Roddy Cowie, Leili Tavabi, Maximilian Schmitt, Sina Alisamir, Shahin Amiriparian, Eva-Maria Meßner, Siyang Song, Shuo Liu, Ziping Zhao, Adria Mallol-Ragolta, Zhao Ren, Mohammad Soleymani, Maja Pantic
2019	J	`jnl`	AVEC 2019 Workshop and Challenge: State-of-Mind, Detecting Depression with AI, and Cross-Cultural Affect Recognition. CoRR Fabien Ringeval, Björn W. Schuller, Michel F. Valstar, Nicholas Cummins, Roddy Cowie, Leili Tavabi, Maximilian Schmitt, Sina Alisamir, Shahin Amiriparian, Eva-Maria Meßner, Siyang Song, Shuo Liu, Ziping Zhao, Adria Mallol-Ragolta, Zhao Ren, Mohammad Soleymani, Maja Pantic
2019	B	`conf`	Performance Analysis of Unimodal and Multimodal Models in Valence-Based Empathy Recognition. FG Adria Mallol-Ragolta, Maximilian Schmitt, Alice Baird, Nicholas Cummins, Björn W. Schuller
2019	J	`jnl`	Synchronization in Interpersonal Speech. Frontiers Robotics AI Shahin Amiriparian, Jing Han, Maximilian Schmitt, Alice Baird, Adria Mallol-Ragolta, Manuel Milling, Maurice Gerczuk, Björn W. Schuller
2018	B	`conf`	A Multimodal Approach for Predicting Changes in PTSD Symptom Severity. ICMI Adria Mallol-Ragolta, Svati Dhamija, Terrance E. Boult

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.