Geraldine Dawson

17 papers A* 1A 1Journal 11Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	—	`conf`	28.4 The Sensing, Computing, and Devices Opportunities of Computational Behavioral Phenotype: An Autism Spectrum Disorder Case Study. ISSCC Guillermo Sapiro, Matías Di Martino, Geraldine Dawson
2024	J	`jnl`	A conditional multi-label model to improve prediction of a rare outcome: An illustration predicting autism diagnosis. J. Biomed. Informatics Wei A. Huang, Matthew Engelhard, Marika Coffman, Elliot D. Hill, Qin Weng, Abby Scheer, Gary Maslow, Ricardo Henao, Geraldine Dawson, Benjamin Alan Goldstein
2024	—	`conf`	Digital Phenotyping based on a Mobile App Identifies Distinct and Overlapping Features in Children Diagnosed with Autism versus ADHD. UIST (Adjunct Volume) Vikram Aikat, Pradeep Raj Krishnappa Babu, Kimberly L. H. Carpenter, J. Matías Di Martino, Steven Espinosa, Naomi Davis, Lauren Franz, Marina Spanos, Geraldine Dawson, Guillermo Sapiro
2024	—	`conf`	Large-scale Validation of a Scalable and Portable Behavioral Digital Screening Tool for Autism at Home. CHI Extended Abstracts Pradeep Raj Krishnappa Babu, J. Matías Di Martino, Kimberly L. H. Carpenter, Scott Compton, Naomi Davis, Brian Eichner, Steven Espinosa, Lauren Franz, Sam Perochon, Geraldine Dawson, Guillermo Sapiro
2023	J	`jnl`	A tablet-based game for the assessment of visual motor skills in autistic children. npj Digit. Medicine Sam Perochon, J. Matías Di Martino, Kimberly L. H. Carpenter, Scott Compton, Naomi Davis, Steven Espinosa, Lauren Franz, Amber D. Rieder, Connor Sullivan, Guillermo Sapiro, Geraldine Dawson
2023	J	`jnl`	Enhancing early autism prediction based on electronic records using clinical narratives. J. Biomed. Informatics Junya Chen, Matthew Engelhard, Ricardo Henao, Samuel Berchuck, Brian Eichner, Eliana M. Perrin, Guillermo Sapiro, Geraldine Dawson
2023	J	`jnl`	Exploring Complexity of Facial Dynamics in Autism Spectrum Disorder. IEEE Trans. Affect. Comput. Pradeep Raj Krishnappa Babu, J. Matías Di Martino, Zhuoqing Chang, Sam Perochon, Kimberly L. H. Carpenter, Scott Compton, Steven Espinosa, Geraldine Dawson, Guillermo Sapiro
2021	J	`jnl`	A Scalable Off-the-Shelf Framework for Measuring Patterns of Attention in Young Children and Its Application in Autism Spectrum Disorder. IEEE Trans. Affect. Comput. Matthieu Bovery, Geraldine Dawson, Jordan Hashemi, Guillermo Sapiro
2021	J	`jnl`	Adversarial Factor Models for the Generation of Improved Autism Diagnostic Biomarkers. CoRR William E. Carson IV, Dmitry Yu. Isaev, Samantha Major, Guillermo Sapiro, Geraldine Dawson, David E. Carlson
2021	J	`jnl`	Computer Vision Analysis for Quantification of Autism Risk Behaviors. IEEE Trans. Affect. Comput. Jordan Hashemi, Geraldine Dawson, Kimberly L. H. Carpenter, Kathleen Campbell, Qiang Qiu, Steven Espinosa, Samuel Marsan, Jeffrey P. Baker, Helen Link Egger, Guillermo Sapiro
2019	A	`conf`	On Target Shift in Adversarial Domain Adaptation. AISTATS Yitong Li, Michael Murias, Samantha Major, Geraldine Dawson, David E. Carlson
2019	J	`jnl`	On Target Shift in Adversarial Domain Adaptation. CoRR Yitong Li, Michael Murias, Samantha Major, Geraldine Dawson, David E. Carlson
2018	J	`jnl`	Automatic emotion and attention analysis of young children at home: a ResearchKit autism feasibility study. npj Digit. Medicine Helen Link Egger, Geraldine Dawson, Jordan Hashemi, Kimberly L. H. Carpenter, Steven Espinosa, Kathleen Campbell, Samuel Brotkin, Jana Schaich Borg, Qiang Qiu, Mariano Tepper, Jeffrey P. Baker, Richard A. Bloomfield Jr., Guillermo Sapiro
2018	A*	`conf`	Extracting Relationships by Multi-Domain Matching. NeurIPS Yitong Li, Michael Murias, Geraldine Dawson, David E. Carlson
2017	—	`conf`	Targeting EEG/LFP Synchrony with Neural Nets. NIPS Yitong Li, Michael Murias, Samantha Major, Geraldine Dawson, Kafui Dzirasa, Lawrence Carin, David E. Carlson
2016	J	`jnl`	A scalable app for measuring autism risk behaviors in young children: A technical validity and feasibility study. EAI Endorsed Trans. Scalable Inf. Syst. Jordan Hashemi, Kathleen Campbell, Kimberly L. H. Carpenter, Adrianne Harris, Qiang Qiu, Mariano Tepper, Steven Espinosa, Jana Schaich Borg, Samuel Marsan, A. Robert Calderbank, Jeffrey P. Baker, Helen Link Egger, Geraldine Dawson, Guillermo Sapiro
2011	J	`jnl`	fMRI evidence of neural abnormalities in the subcortical face processing system in ASD. NeuroImage Natalia M. Kleinhans, Todd L. Richards, L. Clark Johnson, Kurt E. Weaver, Jessica Greenson, Geraldine Dawson, Elizabeth H. Aylward

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.