Ralf Eggeling - RankMe

16 papers A* 1A 4Journal 6Unranked 4

Year	Rank	Type	Title / Venue / Authors
2024	J	`jnl`	Transfer Learning for T-Cell Response Prediction. CoRR Josua Stadelmaier, Brandon Malone, Ralf Eggeling
2019	J	`jnl`	Algorithms for learning parsimonious context trees. Mach. Learn. Ralf Eggeling, Ivo Grosse, Mikko Koivisto
2019	J	`jnl`	Learning Bayesian networks with local structure, mixed variables, and exact algorithms. Int. J. Approx. Reason. Topi Talvitie, Ralf Eggeling, Mikko Koivisto
2019	A	`conf`	On Structure Priors for Learning Bayesian Networks. AISTATS Ralf Eggeling, Jussi Viinikka, Aleksis Vuoksenmaa, Mikko Koivisto
2019	J	`jnl`	Weighted elastic net for unsupervised domain adaptation with application to age prediction from DNA methylation data. Bioinform. Lisa Handl, Adrin Jalali, Michael Scherer, Ralf Eggeling, Nico Pfeifer
2018	—	`conf`	Finding Optimal Bayesian Networks with Local Structure. PGM Topi Talvitie, Ralf Eggeling, Mikko Koivisto
2018	A	`conf`	Intersection-Validation: A Method for Evaluating Structure Learning without Ground Truth. AISTATS Jussi Viinikka, Ralf Eggeling, Mikko Koivisto
2017	J	`jnl`	InMoDe: tools for learning and visualizing intra-motif dependencies of DNA binding sites. Bioinform. Ralf Eggeling, Ivo Grosse, Jan Grau
2016	A	`conf`	Pruning Rules for Learning Parsimonious Context Trees. UAI Ralf Eggeling, Mikko Koivisto
2015	A*	`conf`	Dealing with small data: On the generalization of context trees. ICML Ralf Eggeling, Mikko Koivisto, Ivo Grosse
2015	J	`jnl`	Inferring intra-motif dependencies of DNA binding sites from ChIP-seq data. BMC Bioinform. Ralf Eggeling, Teemu Roos, Petri Myllymäki, Ivo Grosse
2014	—	`—`	Learning inhomogeneous parsimonious Markov models with application to DNA sequence analysis Ralf Eggeling
2014	A	`conf`	Robust learning of inhomogeneous PMMs. AISTATS Ralf Eggeling, Teemu Roos, Petri Myllymäki, Ivo Grosse
2013	—	`conf`	Extended Sunflower Hidden Markov Models for the recognition of homotypic cis-regulatory modules}. GCB Ioana M. Lemnian, Ralf Eggeling, Ivo Grosse
2013	—	`conf`	Inhomogeneous Parsimonious Markov Models. ECML/PKDD (1) Ralf Eggeling, André Gohr, Pierre-Yves Bourguignon, Edgar Wingender, Ivo Grosse
2011	—	`conf`	Bayesian Prediction of DNA Binding Sites Using Parsimonious Markov Models. Informatiktage Ralf Eggeling

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.