Taridzo Chomutare

24 papers B 4C 1Misc 1Journal 5Unranked 13

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A roadmap for federated learning projects using health data to guide sustainable artificial intelligence development in the European Union. Int. J. Medical Informatics Janne Kommusaar, Silja Elunurm, Taridzo Chomutare, Mari Kangasniemi, Sanna Salanterä, Laura-Maria Peltonen
2025	—	`conf`	Implementing a Nordic-Baltic Federated Health Data Network: A Case Report. MedInfo Taridzo Chomutare, Aleksandar Babic, Laura-Maria Peltonen, Silja Elunurm, Peter Lundberg, Arne Jönsson, Emma Eneling, Ciprian-Virgil Gerstenberger, Troels Siggaard, Raivo Kolde, Oskar Jerdhaf, Martin Hansson, Alexandra Makhlysheva, Miroslav Muzny, Erik Ylipää, Søren Brunak, Hercules Dalianis
2024	J	`jnl`	A multinational study on artificial intelligence adoption: Clinical implementers' perspectives. Int. J. Medical Informatics Luis Marco-Ruiz, Miguel Angel Tejedor Hernandez, Phuong Dinh Ngo, Alexandra Makhlysheva, Therese Olsen Svenning, Kari Dyb, Taridzo Chomutare, Carlos Fernández-Llatas, Jorge Muñoz-Gama, Maryam Tayefi
2024	J	`jnl`	Artificial intelligence to improve clinical coding practice in Scandinavia: a crossover randomized controlled trial. CoRR Taridzo Chomutare, Therese Olsen Svenning, Miguel Angel Tejedor Hernandez, Phuong Dinh Ngo, Andrius Budrionis, Kaisa Markljung, Lill Irene Hind, Torbjørn Torsvik, Karl Øyvind Mikalsen, Aleksandar Babic, Hercules Dalianis
2024	—	`conf`	Building Bridges for Federated Learning in Healthcare: Review on Approaches for Common Data Model Development. Nursing Informatics Hanna von Gerich, Taridzo Chomutare, Laura-Maria Peltonen
2024	J	`jnl`	Implementing a Nordic-Baltic Federated Health Data Network: a case report. CoRR Taridzo Chomutare, Aleksandar Babic, Laura-Maria Peltonen, Silja Elunurm, Peter Lundberg, Arne Jönsson, Emma Eneling, Ciprian-Virgil Gerstenberger, Troels Siggaard, Raivo Kolde, Oskar Jerdhaf, Martin Hansson, Alexandra Makhlysheva, Miroslav Muzny, Erik Ylipää, Søren Brunak, Hercules Dalianis
2022	—	`conf`	Combining deep learning and fuzzy logic to predict rare ICD-10 codes from clinical notes. ICDH Taridzo Chomutare, Andrius Budrionis, Hercules Dalianis
2021	—	`conf`	Clinical Notes De-Identification: Scoping Recent Benchmarks for n2c2 Datasets. ICIMTH Taridzo Chomutare
2020	—	`conf`	De-Identifying Swedish EHR Text Using Public Resources in the General Domain. MIE Taridzo Chomutare, Kassaye Yitbarek Yigzaw, Andrius Budrionis, Alexandra Makhlysheva, Fred Godtliebsen, Hercules Dalianis
2020	C	`conf`	Healthcare and data privacy requirements for e-health cloud: A qualitative analysis of clinician perspectives. HealthCom Taridzo Chomutare, Kassaye Yitbarek Yigzaw, Sílvia Delgado Olabarriaga, Alexandra Makhlysheva, Marcela Tuler de Oliveira, Line Silsand, Dagmar Krefting, Thomas Penzel, Christiaan Hillen, Johan Gustav Bellika
2019	—	`conf`	Building a De-identification System for Real Swedish Clinical Text Using Pseudonymised Clinical Text. LOUHI@EMNLP Hanna Berg, Taridzo Chomutare, Hercules Dalianis
2016	—	`conf`	Effectiveness of an Internet Community for Severely Obese Women. Nursing Informatics Taridzo Chomutare, Eirik Årsand, Gunnar Hartvigsen
2016	—	`conf`	Play and Learn: Developing a Social Game for Children with Diabetes. ICIMTH Taridzo Chomutare, Svein-Gunnar Johansen, Eirik Årsand, Gunnar Hartvigsen
2016	—	`conf`	Serious Game Co-Design for Children with Type 1 Diabetes. ICIMTH Taridzo Chomutare, Svein-Gunnar Johansen, Gunnar Hartvigsen, Eirik Årsand
2015	B	`conf`	Mining Symptoms of Severe Mood Disorders in Large Internet Communities. CBMS Taridzo Chomutare, Eirik Årsand, Gunnar Hartvigsen
2014	—	`conf`	Patient similarity using network structure properties in online communities. BHI Taridzo Chomutare
2014	B	`conf`	Social Network Analysis to Delineate Interaction Patterns That Predict Weight Loss Performance. CBMS Taridzo Chomutare, Anna Xu, M. Sriram Iyengar
2014	B	`conf`	Systematic Review of Behavioral Obesity Interventions and Their Persuasive Qualities. PERSUASIVE Anna Xu, Taridzo Chomutare, M. Sriram Iyengar
2014	—	`conf`	Text Classification to Automatically Identify Online Patients Vulnerable to Depression. MindCare Taridzo Chomutare
2013	J	`jnl`	Characterizing development patterns of health-care social networks. Netw. Model. Anal. Health Informatics Bioinform. Taridzo Chomutare, Eirik Årsand, Gunnar Hartvigsen
2013	Misc	`conf`	Designing a diabetes mobile application with social network support. HIC Taridzo Chomutare, Naoe Tatara, Eirik Årsand, Gunnar Hartvigsen
2012	—	`conf`	Social Media and Games as Self-management Tools for Children and Adolescents with Type 1 Diabetes Mellitus. HEALTHINF J. Lauritzen, Eirik Årsand, Alexander Horsch, Luis Fernández-Luque, Taridzo Chomutare, Johan Gustav Bellika, Ole K. Hejlesen, Gunnar Hartvigsen
2012	B	`conf`	Temporal Community Structure Patterns in Diabetes Social Networks. ASONAM Taridzo Chomutare, Eirik Årsand, Gunnar Hartvigsen
2011	—	`conf`	Mobile Peer Support in Diabetes. MIE Taridzo Chomutare, Eirik Årsand, Gunnar Hartvigsen

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.