Benjamin A. Carterette

19 papers A* 5A 7Journal 7

Year	Rank	Type	Title / Venue / Authors
2024	J	`jnl`	ForTune: Running Offline Scenarios to Estimate Impact on Business Metrics. CoRR Georges Dupret, Konstantin Sozinov, Carmen Barcena Gonzalez, Ziggy Zacks, Amber Yuan, Benjamin A. Carterette, Manuel Mai, Shubham Bansal, Gwo Liang Lien, Andrey Gatash, Roberto Sanchis-Ojeda, Mounia Lalmas
2023	J	`jnl`	A Comparison of Methods for Treatment Assignment with an Application to Playlist Generation. Inf. Syst. Res. Carlos Fernández-Loría, Foster J. Provost, Jesse Anderton, Benjamin A. Carterette, Praveen Chandar
2023	A	`conf`	Calibrated Recommendations as a Minimum-Cost Flow Problem. WSDM Himan Abdollahpouri, Zahra Nazari, Alex Gain, Clay Gibson, Maria Dimakopoulou, Jesse Anderton, Benjamin A. Carterette, Mounia Lalmas, Tony Jebara
2022	A*	`conf`	Choice of Implicit Signal Matters: Accounting for User Aspirations in Podcast Recommendations. WWW Zahra Nazari, Praveen Chandar, Ghazal Fazelnia, Catherine M. Edwards, Benjamin A. Carterette, Mounia Lalmas
2022	A	`conf`	Variational User Modeling with Slow and Fast Features. WSDM Ghazal Fazelnia, Eric Simon, Ian Anderson, Benjamin A. Carterette, Mounia Lalmas
2021	A	`conf`	Leveraging Semantic Information to Facilitate the Discovery of Underserved Podcasts. CIKM Maryam Aziz, Alice Wang, Aasish Pappu, Hugues Bouchard, Yu Zhao, Benjamin A. Carterette, Mounia Lalmas
2021	A*	`conf`	Neural Instant Search for Music and Podcast. KDD Helia Hashemi, Aasish Pappu, Mi Tian, Praveen Chandar, Mounia Lalmas, Benjamin A. Carterette
2020	J	`jnl`	A Topological Method for Comparing Document Semantics. CoRR Yuqi Kong, Fanchao Meng, Benjamin A. Carterette
2020	A*	`conf`	Counterfactual Evaluation of Slate Recommendations with Sequential Reward Interactions. KDD James McInerney, Brian Brost, Praveen Chandar, Rishabh Mehrotra, Benjamin A. Carterette
2020	A*	`conf`	Do podcasts and music compete with one another? Understanding users' audio streaming habits. WWW Ang Li, Alice Wang, Zahra Nazari, Praveen Chandar, Benjamin A. Carterette
2020	A	`conf`	Investigating Listeners' Responses to Divergent Recommendations. RecSys Rishabh Mehrotra, Chirag Shah, Benjamin A. Carterette
2020	J	`jnl`	Methods for Individual Treatment Assignment: An Application and Comparison for Playlist Generation. CoRR Carlos Fernandez, Foster J. Provost, Jesse Anderton, Benjamin A. Carterette, Praveen Chandar
2020	A*	`conf`	Model Selection for Production System via Automated Online Experiments. NeurIPS Zhenwen Dai, Praveen Chandar, Ghazal Fazelnia, Benjamin A. Carterette, Mounia Lalmas
2020	J	`jnl`	The Engagement-Diversity Connection: Evidence from a Field Experiment on Spotify. CoRR David Holtz, Benjamin A. Carterette, Praveen Chandar, Zahra Nazari, Henriette Cramer, Sinan Aral
2019	A	`conf`	Recommendations in a marketplace. RecSys Rishabh Mehrotra, Benjamin A. Carterette
2017	A	`conf`	Learning to Rate Clinical Concepts Using Simulated Clinician Feedback. IUI Mohammad R. Alsulmi, Benjamin A. Carterette
2013	A	`conf`	Time Based Feedback and Query Expansion for Twitter Search. ECIR Naveen Kumar, Benjamin A. Carterette
2012	J	`jnl`	Multiple testing in statistical analysis of systems-based information retrieval experiments. ACM Trans. Inf. Syst. Benjamin A. Carterette
2008	J	`jnl`	Low-cost and robust evaluation of information retrieval systems. SIGIR Forum Benjamin A. Carterette

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.