Daniel Baier - RankMe

53 papers C 4Journal 12Unranked 28

Year	Rank	Type	Title / Venue / Authors
2026	—	`conf`	Keys in Flux: A Forensic Perspective on Implementation Diversity in Cryptographic Protocols. DFDS Daniel Baier, Julian Lengersdorff
2024	—	`conf`	CPAchecker 2.3 with Strategy Selection - (Competition Contribution). TACAS (3) Daniel Baier, Dirk Beyer, Po-Chun Chien, Marek Jankola, Matthias Kettl, Nian-Ze Lee, Thomas Lemberger, Marian Lingsch Rosenfeld, Martin Spiessl, Henrik Wachowitz, Philipp Wendler
2024	J	`jnl`	Forensic implications of stacked file systems. Forensic Sci. Int. Digit. Investig. Jan-Niclas Hilgert, Martin Lambertz, Daniel Baier
2024	J	`jnl`	One-stage product-line design heuristics: an empirical comparison. OR Spectr. Daniel Baier, Sascha Voekler
2024	J	`jnl`	Software Verification with CPAchecker 3.0: Tutorial and User Guide (Extended Version). CoRR Daniel Baier, Dirk Beyer, Po-Chun Chien, Marie-Christine Jakobs, Marek Jankola, Matthias Kettl, Nian-Ze Lee, Thomas Lemberger, Marian Lingsch Rosenfeld, Henrik Wachowitz, Philipp Wendler
2024	—	`conf`	Software Verification with CPAchecker 3.0: Tutorial and User Guide. FM (2) Daniel Baier, Dirk Beyer, Po-Chun Chien, Marie-Christine Jakobs, Marek Jankola, Matthias Kettl, Nian-Ze Lee, Thomas Lemberger, Marian Lingsch Rosenfeld, Henrik Wachowitz, Philipp Wendler
2024	J	`jnl`	TLS key material identification and extraction in memory: Current state and future challenges. Forensic Sci. Int. Digit. Investig. Daniel Baier, Alexander Basse, Jan-Niclas Hilgert, Martin Lambertz
2023	J	`jnl`	[Solution] Algorithmic Heap Layout Manipulation in the Linux Kernel. J. Syst. Res. Max Jens Ufer, Daniel Baier
2021	—	`conf`	JavaSMT 3: Interacting with SMT Solvers in Java. CAV (2) Daniel Baier, Dirk Beyer, Karlheinz Friedberger
2020	J	`jnl`	Predicting brand confusion in imagery markets based on deep learning of visual advertisement content. Adv. Data Anal. Classif. Atsuho Nakayama, Daniel Baier
2019	—	`ch.`	Digital Technologies for Ordering and Delivering Fashion: How Baur Integrates the Customer's Point of View. Digitalization Cases Daniel Baier, Alexandra Rese, Nikita Nonenmacher, Steve Treybig, Benjamin Bressem
2018	C	`conf`	Conversational User Interfaces for Online Shops? A Categorization of Use Cases. ICIS Daniel Baier, Alexandra Rese, Maximilian Röglinger
2018	J	`jnl`	Relating brand confusion to ad similarities and brand strengths through image data analysis and classification. Adv. Data Anal. Classif. Daniel Baier, Sarah Frost
2017	J	`jnl`	Guest Editors' Introduction: Smart Interaction with Consumers: From Co-Creation to Smart Partnership. Int. J. Electron. Commer. Eleonora Pantano, Constantinos-Vasilios Priporas, Daniel Baier
2015	C	`conf`	Towards Lifestyle Segmentation via Uploaded Images from Surveys and Social Networks. ICIS Ines Daniel, Daniel Baier
2014	—	`conf`	Market Oriented Product Design and Pricing: Effects of Intra-Individual Varying Partworths. ECDA Stephanie Löffler, Daniel Baier
2013	—	`conf`	A Game Theoretic Product Design Approach Considering Stochastic Partworth Functions. ECDA Daniel Krausche, Daniel Baier
2013	—	`conf`	A Statistical Software Package for Image Data Analysis in Marketing. ECDA Thomas Böttcher, Daniel Baier, Robert Naundorf
2013	—	`conf`	Combination of Distances and Image Features for Clustering Image Data Bases. ECDA Sarah Frost, Daniel Baier
2013	—	`ch.`	Comparing Earth Mover's Distance and its Approximations for Clustering Images. Algorithms from and for Nature and Life Sarah Frost, Daniel Baier
2013	—	`ch.`	Lifestyle Segmentation Based on Contents of Uploaded Images Versus Ratings of Items. Algorithms from and for Nature and Life Ines Daniel, Daniel Baier
2013	—	`ch.`	Logic Based Conjoint Analysis Using the Commuting Quantum Query Language. Algorithms from and for Nature and Life Ingo Schmitt, Daniel Baier
2013	—	`conf`	Multivariate Landing Page Optimization Using Hierarchical Bayes Choice-Based Conjoint. ECDA Stefanie Schreiber, Daniel Baier
2013	—	`conf`	Preference Measurement in Complex Product Development: A Comparison of Two-Staged SEM Approaches. ECDA Jörgen Eimecke, Daniel Baier
2013	—	`ch.`	Product Design Optimization Using Ant Colony And Bee Algorithms: A Comparison. Algorithms from and for Nature and Life Sascha Voekler, Daniel Krausche, Daniel Baier
2013	—	`conf`	Ratings-/Rankings-Based Versus Choice-Based Conjoint Analysis for Predicting Choices. ECDA Daniel Baier, Marcin Pelka, Aneta Rybicka, Stefanie Schreiber
2013	—	`conf`	What Is in a Like? Preference Aggregation on the Social Web. ECDA Adrian Giurca, Daniel Baier, Ingo Schmitt
2012	C	`conf`	Adaptive Conjoint Analysis. Training Data: Knowledge or Beliefs?. FedCSIS Adrian Giurca, Ingo Schmitt, Daniel Baier
2012	—	`conf`	Can Adaptive Conjoint Analysis perform in a Preference Logic Framework? KESE@ECAI Adrian Giurca, Ingo Schmitt, Daniel Baier
2012	—	`conf`	Image Feature Selection for Market Segmentation: A Comparison of Alternative Approaches. GfKl Susanne Rumstadt, Daniel Baier
2012	J	`jnl`	Image data analysis and classification in marketing. Adv. Data Anal. Classif. Daniel Baier, Ines Daniel, Sarah Frost, Robert Naundorf
2012	—	`conf`	Solving Product Line Design Optimization Problems Using Stochastic Programming. GfKl Sascha Voekler, Daniel Baier
2012	J	`jnl`	Special issue on data analysis and classification in marketing - preface by the guest editors. Adv. Data Anal. Classif. Daniel Baier, Reinhold Decker
2012	—	`conf`	The Validity of Conjoint Analysis: An Investigation of Commercial Studies Over Time. GfKl Sebastian Selka, Daniel Baier, Peter Kurz
2011	C	`conf`	Performing Conjoint Analysis within a Logic-based Framework. FedCSIS Adrian Giurca, Ingo Schmitt, Daniel Baier
2010	—	`conf`	Image Clustering for Marketing Purposes. GfKl Daniel Baier, Ines Daniel
2010	—	`conf`	Improving the Validity of Conjoint Analysis by Additional Data Collection and Analysis Steps. GfKl Sebastian Selka, Daniel Baier, Michael Brusch
2010	—	`conf`	Lead User Identification in Conjoint Analysis Based Product Design. GfKl Alexander Sänn, Daniel Baier
2008	—	`conf`	Analyzing the Stability of Price Response Functions: Measuring the Influence of Different Parameters in a Monte Carlo Comparison. GfKl Michael Brusch, Daniel Baier
2008	—	`conf`	Designing Products Using Quality Function Deployment and Conjoint Analysis: A Comparison in a Market for Elderly People. GfKl Samah Abu-Assab, Daniel Baier
2008	—	`conf`	Real Options in the Assessment of New Products. GfKl Said Esber, Daniel Baier
2007	—	`conf`	Conjoint Analysis for Complex Services Using Clusterwise Hierarchical Bayes Procedures. GfKl Michael Brusch, Daniel Baier
2007	—	`conf`	Scenario Evaluation Using Two-mode Clustering Approaches in Higher Education. GfKl Matthias J. Kaiser, Daniel Baier
2005	—	`book`	Data Analysis and Decision Support Daniel Baier, Reinhold Decker, Lars Schmidt-Thieme
2005	—	`conf`	Improving the Predictive Validity of Quality Function Deployment by Conjoint Analysis: A Monte Carlo Comparison. OR Daniel Baier, Michael Brusch
2005	—	`ch.`	Linking Quality Function Deployment and Conjoint Analysis for New Product Design. Data Analysis and Decision Support Daniel Baier, Michael Brusch
2005	—	`ch.`	Stages, Gates, and Conflicts in New Product Development: A Classification Approach. Data Analysis and Decision Support Alexandra Rese, Daniel Baier, Ralf Woll
2005	—	`conf`	System Dynamics Based Prediction of New Product Diffusion: An Evaluation. OR Sabine Schmidt, Daniel Baier
2003	—	`conf`	Elektronische Marktplätze in der Bauwirtschaft. Innovationen im E-Business Matthias Koch, Daniel Baier
2002	—	`conf`	E-Business in Energieversorgungsunternehmen. Modelle im E-Business Matthias Koch, Claudia Meng, Daniel Baier
1995	J	`jnl`	Positioning analysis using knowledge-based support. Ann. Oper. Res. Daniel Baier, Wolfgang Gaul, Frank Wartenberg
1994	J	`jnl`	Comparing proposals for the solution of data analysis problems in a knowledge-based system. Ann. Oper. Res. Wolfgang Gaul, Frank Wartenberg, Daniel Baier
1994	—	`—`	Konzipierung und Realisierung einer Unterstützung des kombinierten Einsatzes von Methoden bei der Positionierungsanalyse. Daniel Baier

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.