Abraham J. Wyner

21 papers A* 2A 3B 2Journal 14

Year	Rank	Type	Title / Venue / Authors
2024	J	`jnl`	Entropy-Based Strategies for Multi-Bracket Pools. Entropy Ryan S. Brill, Abraham J. Wyner, Ian J. Barnett
2023	J	`jnl`	Introducing the Multi-Brackets Problem. CoRR Ryan S. Brill, Ian J. Barnett, Abraham J. Wyner
2022	J	`jnl`	Introducing Grid WAR: Rethinking WAR for Starting Pitchers. CoRR Ryan S. Brill, Abraham J. Wyner
2018	J	`jnl`	Making Sense of Random Forest Probabilities: a Kernel Perspective. CoRR Matthew Olson, Abraham J. Wyner
2018	A*	`conf`	Modern Neural Networks Generalize on Small Data Sets. NeurIPS Matthew Olson, Abraham J. Wyner, Richard Berk
2017	J	`jnl`	Explaining the Success of AdaBoost and Random Forests as Interpolating Classifiers. J. Mach. Learn. Res. Abraham J. Wyner, Matthew Olson, Justin Bleich, David Mease
2015	J	`jnl`	Explaining the Success of AdaBoost and Random Forests as Interpolating Classifiers. CoRR Abraham J. Wyner, Matthew Olson, Justin Bleich, David Mease
2013	J	`jnl`	Data Analysis with Bayesian Networks: A Bootstrap Approach CoRR Nir Friedman, Moisés Goldszmidt, Abraham J. Wyner
2012	B	`conf`	Partial Kelly portfolios and shrinkage estimators. ISIT Justin K. Rising, Abraham J. Wyner
2008	J	`jnl`	Evidence Contrary to the Statistical View of Boosting. J. Mach. Learn. Res. David Mease, Abraham J. Wyner
2007	J	`jnl`	Boosted Classification Trees and Class Probability/Quantile Estimation. J. Mach. Learn. Res. David Mease, Abraham J. Wyner, Andreas Buja
2005	B	`conf`	A statistical view of universal stock market portfolios. ISIT Cengiz Y. Belentepe, Abraham J. Wyner
2003	A	`conf`	On Boosting and the Exponential Loss. AISTATS Abraham J. Wyner
2002	J	`jnl`	Universal codes for finite sequences of integers drawn from a monotone distribution. IEEE Trans. Inf. Theory Dean P. Foster, Robert A. Stine, Abraham J. Wyner
2001	A*	`conf`	Boosting Noisy Data. ICML Abba Krieger, Chuan Long, Abraham J. Wyner
1999	A	`conf`	Data Analysis with Bayesian Networks: A Bootstrap Approach. UAI Nir Friedman, Moisés Goldszmidt, Abraham J. Wyner
1999	A	`conf`	On the application of the bootstrap for computing confidence measures on features of induced Bayesian networks. AISTATS Nir Friedman, Moisés Goldszmidt, Abraham J. Wyner
1998	J	`jnl`	Nonparametric Entropy Estimation for Stationary Processesand Random Fields, with Applications to English Text. IEEE Trans. Inf. Theory Ioannis Kontoyiannis, Paul H. Algoet, Yuri M. Suhov, Abraham J. Wyner
1998	J	`jnl`	On the Role of Pattern Matching in Information Theory. IEEE Trans. Inf. Theory Aaron D. Wyner, Jacob Ziv, Abraham J. Wyner
1997	J	`jnl`	The redundancy and distribution of the phrase lengths of the fixed-database Lempel-Ziv algorithm. IEEE Trans. Inf. Theory Abraham J. Wyner
1995	J	`jnl`	Improved redundancy of a version of the Lempel-Ziv algorithm. IEEE Trans. Inf. Theory Aaron D. Wyner, Abraham J. Wyner

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.