Federico Girosi

23 papers A* 2B 1C 1Misc 1Journal 15Unranked 3

Year	Rank	Type	Title / Venue / Authors
2021	J	`jnl`	Multichannel mixture models for time-series analysis and classification of engagement with multiple health services: An application to psychology and physiotherapy utilization patterns after traffic accidents. Artif. Intell. Medicine Nazanin Esmaili, Quinlan D. Buchlak, Massimo Piccardi, Bernie Kruger, Federico Girosi
2020	J	`jnl`	A clinical coding recommender system. Knowl. Based Syst. Mani Suleiman, Haydar Demirhan, Leanne Boyd, Federico Girosi, Vural Aksakalli
2020	J	`jnl`	Deep Generative Modeling in Network Science with Applications to Public Policy Research. CoRR Gavin S. Hartnett, Raffaele Vardavas, Lawrence Baker, Michael Chaykowsky, C. Ben Gibson, Federico Girosi, David P. Kennedy, Osonde A. Osoba
2020	J	`jnl`	Incorporation of expert knowledge in the statistical detection of diagnosis related group misclassification. Int. J. Medical Informatics Mani Suleiman, Haydar Demirhan, Leanne Boyd, Federico Girosi, Vural Aksakalli
2017	J	`jnl`	A new generation of Primary Care Service Areas or general practice catchment areas. Trans. GIS Soumya Mazumdar, Ludovico Pinzari, Nasser Bagheri, Paul Konings, Federico Girosi, Ian McRae
2017	C	`conf`	Digital Knowledge Ecosystem for Empowering Users to Self-manage Diabetes Through Context Specific Actionable Information. GPC Maneesh Mathai, Athula Ginige, Uma Srinivasan, Federico Girosi
2016	—	`conf`	Joint Prediction of Chronic Conditions Onset: Comparing Multivariate Probits with Multiclass Support Vector Machines. COPA Shima Ghassem Pour, Federico Girosi
2000	B	`conf`	On the Noise Model of Support Vector Machines Regression. ALT Massimiliano Pontil, Sayan Mukherjee, Federico Girosi
1999	J	`jnl`	Generalization bounds for function approximation from scattered noisy data. Adv. Comput. Math. Partha Niyogi, Federico Girosi
1999	Misc	`conf`	Sparse correlation kernel reconstruction. ICASSP Constantine Papageorgiou, Federico Girosi, Tomaso A. Poggio
1998	J	`jnl`	A Sparse Representation For Function Approximation. Neural Comput. Tomaso A. Poggio, Federico Girosi
1998	J	`jnl`	An Equivalence Between Sparse Approximation And Support Vector Machines. Neural Comput. Federico Girosi
1998	J	`jnl`	Incorporating prior information in machine learning by creating virtual examples. Proc. IEEE Partha Niyogi, Federico Girosi, Tomaso A. Poggio
1997	J	`jnl`	Comparing support vector machines with Gaussian kernels to radial basis function classifiers. IEEE Trans. Signal Process. Bernhard Schölkopf, Kah Kay Sung, Christopher J. C. Burges, Federico Girosi, Partha Niyogi, Tomaso A. Poggio, Vladimir Vapnik
1997	A*	`conf`	Training Support Vector Machines: an Application to Face Detection. CVPR Edgar Osuna, Robert M. Freund, Federico Girosi
1996	J	`jnl`	On the Relationship between Generalization Error, Hypothesis Complexity, and Sample Complexity for Radial Basis Functions. Neural Comput. Partha Niyogi, Federico Girosi
1995	J	`jnl`	Regularization Theory and Neural Networks Architectures. Neural Comput. Federico Girosi, Michael J. Jones, Tomaso A. Poggio
1991	J	`jnl`	Parallel and Deterministic Algorithms from MRFs: Surface Reconstruction. IEEE Trans. Pattern Anal. Mach. Intell. Davi Geiger, Federico Girosi
1990	—	`conf`	Extensions of a Theory of Networks for Approximation and Learning. NIPS Federico Girosi, Tomaso A. Poggio, Bruno Caprile
1990	J	`jnl`	Networks for approximation and learning. Proc. IEEE Tomaso A. Poggio, Federico Girosi
1990	A*	`conf`	Parallel and deterministic algorithms from MRFs: surface reconstruction and integration. ECCV Davi Geiger, Federico Girosi
1989	—	`conf`	Coupled Markov Random Fields and Mean Field Theory. NIPS Davi Geiger, Federico Girosi
1989	J	`jnl`	Representation Properties of Networks: Kolmogorov's Theorem Is Irrelevant. Neural Comput. Federico Girosi, Tomaso A. Poggio

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.