Patrick Hemmer

37 papers A* 4A 1C 4Journal 22Unranked 6

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Complementarity in human-AI collaboration: concept, sources, and evidence. Eur. J. Inf. Syst. Patrick Hemmer, Max Schemmer, Niklas Kühl, Michael Vössing, Gerhard Satzger
2025	J	`jnl`	Fine-Grained Appropriate Reliance: Human-AI Collaboration with a Multi-Step Transparent Decision Workflow for Complex Task Decomposition. CoRR Gaole He, Patrick Hemmer, Michael Vössing, Max Schemmer, Ujwal Gadiraju
2025	J	`jnl`	Human Delegation Behavior in Human-AI Collaboration: The Effect of Contextual Information. Proc. ACM Hum. Comput. Interact. Philipp Spitzer, Joshua Holstein, Patrick Hemmer, Michael Vössing, Niklas Kühl, Dominik Martin, Gerhard Satzger
2025	J	`jnl`	Towards Understanding AI Delegation: The Role of Self-Efficacy and Visual Processing Ability. ACM Trans. Interact. Intell. Syst. Monika Westphal, Patrick Hemmer, Michael Vössing, Max Schemmer, Sebastian Vetter, Gerhard Satzger
2025	J	`jnl`	When Thinking Pays Off: Incentive Alignment for Human-AI Collaboration. CoRR Joshua Holstein, Patrick Hemmer, Gerhard Satzger, Wei Sun
2024	J	`jnl`	Complementarity in Human-AI Collaboration: Concept, Sources, and Evidence. CoRR Patrick Hemmer, Max Schemmer, Niklas Kühl, Michael Vössing, Gerhard Satzger
2024	J	`jnl`	On the Effect of Contextual Information on Human Delegation Behavior in Human-AI collaboration. CoRR Philipp Spitzer, Joshua Holstein, Patrick Hemmer, Michael Vössing, Niklas Kühl, Dominik Martin, Gerhard Satzger
2024	A*	`conf`	Redefining the Laparoscopic Spatial Sense: AI-Based Intra- and Postoperative Measurement from Stereoimages. AAAI Leopold Müller, Patrick Hemmer, Moritz Queisner, Igor M. Sauer, Simeon Allmendinger, Johannes Jakubik, Michael Vössing, Niklas Kühl
2024	—	`conf`	The Role of Cognitive Styles for Explainable AI. ECIS Lara Riefle, Patrick Hemmer, Carina Benz, Michael Vössing
2023	A	`conf`	Human-AI Collaboration: The Effect of AI Delegation on Human Task Performance and Task Satisfaction. IUI Patrick Hemmer, Monika Westphal, Max Schemmer, Sebastian Vetter, Michael Vössing, Gerhard Satzger
2023	J	`jnl`	Human-AI Collaboration: The Effect of AI Delegation on Human Task Performance and Task Satisfaction. CoRR Patrick Hemmer, Monika Westphal, Max Schemmer, Sebastian Vetter, Michael Vössing, Gerhard Satzger
2023	—	`conf`	Improving the Efficiency of Human-in-the-Loop Systems: Adding Artificial to Human Experts. Wirtschaftsinformatik Johannes Jakubik, Daniel Weber, Patrick Hemmer, Michael Vössing, Gerhard Satzger
2023	J	`jnl`	Improving the Efficiency of Human-in-the-Loop Systems: Adding Artificial to Human Experts. CoRR Johannes Jakubik, Daniel Weber, Patrick Hemmer, Michael Vössing, Gerhard Satzger
2023	A*	`conf`	Learning to Defer with Limited Expert Predictions. AAAI Patrick Hemmer, Lukas Thede, Michael Vössing, Johannes Jakubik, Niklas Kühl
2023	J	`jnl`	Learning to Defer with Limited Expert Predictions. CoRR Patrick Hemmer, Lukas Thede, Michael Vössing, Johannes Jakubik, Niklas Kühl
2023	J	`jnl`	Navigating the Synthetic Realm: Harnessing Diffusion-based Models for Laparoscopic Text-to-Image Generation. CoRR Simeon Allmendinger, Patrick Hemmer, Moritz Queisner, Igor M. Sauer, Leopold Müller, Johannes Jakubik, Michael Vössing, Niklas Kühl
2023	J	`jnl`	Redefining the Laparoscopic Spatial Sense: AI-based Intra- and Postoperative Measurement from Stereoimages. CoRR Leopold Müller, Patrick Hemmer, Moritz Queisner, Igor M. Sauer, Simeon Allmendinger, Johannes Jakubik, Michael Vössing, Niklas Kühl
2023	C	`conf`	Towards Effective Human-AI Decision-Making: The Role of Human Learning in Appropriate Reliance on AI Advice. ICIS Max Schemmer, Andrea Bartos, Philipp Spitzer, Patrick Hemmer, Niklas Kühl, Jonas Liebschner, Gerhard Satzger
2023	J	`jnl`	Towards Effective Human-AI Decision-Making: The Role of Human Learning in Appropriate Reliance on AI Advice. CoRR Max Schemmer, Andrea Bartos, Philipp Spitzer, Patrick Hemmer, Niklas Kühl, Jonas Liebschner, Gerhard Satzger
2022	C	`conf`	A Meta-Analysis of the Utility of Explainable Artificial Intelligence in Human-AI Decision-Making. AIES Max Schemmer, Patrick Hemmer, Maximilian Nitsche, Niklas Kühl, Michael Vössing
2022	J	`jnl`	A Meta-Analysis on the Utility of Explainable Artificial Intelligence in Human-AI Decision-Making. CoRR Max Schemmer, Patrick Hemmer, Maximilian Nitsche, Niklas Kühl, Michael Vössing
2022	A*	`conf`	Designing a Human-in-the-Loop System for Object Detection in Floor Plans. AAAI Johannes Jakubik, Patrick Hemmer, Michael Vössing, Benedikt Blumenstiel, Andrea Bartos, Kamilla Mohr
2022	—	`conf`	Factors that Influence the Adoption of Human-AI Collaboration in Clinical Decision-Making. ECIS Patrick Hemmer, Max Schemmer, Lara Riefle, Nico Rosellen, Michael Vössing, Niklas Kühl
2022	J	`jnl`	Factors that influence the adoption of human-AI collaboration in clinical decision-making. CoRR Patrick Hemmer, Max Schemmer, Lara Riefle, Nico Rosellen, Michael Vössing, Niklas Kühl
2022	A*	`conf`	Forming Effective Human-AI Teams: Building Machine Learning Models that Complement the Capabilities of Multiple Experts. IJCAI Patrick Hemmer, Sebastian Schellhammer, Michael Vössing, Johannes Jakubik, Gerhard Satzger
2022	J	`jnl`	Forming Effective Human-AI Teams: Building Machine Learning Models that Complement the Capabilities of Multiple Experts. CoRR Patrick Hemmer, Sebastian Schellhammer, Michael Vössing, Johannes Jakubik, Gerhard Satzger
2022	—	`conf`	Instance Selection Mechanisms for Human-in-the-Loop Systems in Few-Shot Learning. Wirtschaftsinformatik Johannes Jakubik, Benedikt Blumenstiel, Michael Vössing, Patrick Hemmer
2022	J	`jnl`	Instance Selection Mechanisms for Human-in-the-Loop Systems in Few-Shot Learning. CoRR Johannes Jakubik, Benedikt Blumenstiel, Michael Vössing, Patrick Hemmer
2022	J	`jnl`	On the Effect of Information Asymmetry in Human-AI Teams. CoRR Patrick Hemmer, Max Schemmer, Niklas Kühl, Michael Vössing, Gerhard Satzger
2022	C	`conf`	On the Influence of Cognitive Styles on Users' Understanding of Explanations. ICIS Lara Riefle, Patrick Hemmer, Carina Benz, Michael Vössing, Jannik Pries
2022	J	`jnl`	On the Influence of Cognitive Styles on Users' Understanding of Explanations. CoRR Lara Riefle, Patrick Hemmer, Carina Benz, Michael Vössing, Jannik Pries
2022	J	`jnl`	Should I Follow AI-based Advice? Measuring Appropriate Reliance in Human-AI Decision-Making. CoRR Max Schemmer, Patrick Hemmer, Niklas Kühl, Carina Benz, Gerhard Satzger
2022	—	`conf`	Utilizing Active Machine Learning for Quality Assurance: A Case Study of Virtual Car Renderings in the Automotive Industry. HICSS Patrick Hemmer, Niklas Kühl, Jakob Schoeffer
2021	—	`conf`	Human-AI Complementarity in Hybrid Intelligence Systems: A Structured Literature Review. PACIS Patrick Hemmer, Max Schemmer, Michael Vössing, Niklas Kühl
2021	J	`jnl`	Utilizing Active Machine Learning for Quality Assurance: A Case Study of Virtual Car Renderings in the Automotive Industry. CoRR Patrick Hemmer, Niklas Kühl, Jakob Schöffer
2020	C	`conf`	DEAL: Deep Evidential Active Learning for Image Classification. ICMLA Patrick Hemmer, Niklas Kühl, Jakob Schöffer
2020	J	`jnl`	DEAL: Deep Evidential Active Learning for Image Classification. CoRR Patrick Hemmer, Niklas Kühl, Jakob Schöffer

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.