Saket Joshi - RankMe

24 papers A* 7B 2Journal 11Unranked 4

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Scaling laws in wearable human activity recognition. CoRR Tom Hoddes, Alex Bijamov, Saket Joshi, Daniel Roggen, Ali Etemad, Robert Harle, David Racz
2024	J	`jnl`	Explainable models via compression of tree ensembles. Mach. Learn. Siwen Yan, Sriraam Natarajan, Saket Joshi, Roni Khardon, Prasad Tadepalli
2022	J	`jnl`	Explainable Models via Compression of Tree Ensembles. CoRR Siwen Yan, Sriraam Natarajan, Saket Joshi, Roni Khardon, Prasad Tadepalli
2019	B	`conf`	Neural Networks for Relational Data. ILP Navdeep Kaur, Gautam Kunapuli, Saket Joshi, Kristian Kersting, Sriraam Natarajan
2019	J	`jnl`	Neural Networks for Relational Data. CoRR Navdeep Kaur, Gautam Kunapuli, Saket Joshi, Kristian Kersting, Sriraam Natarajan
2014	J	`jnl`	Probabilistic Relational Planning with First Order Decision Diagrams. CoRR Saket Joshi, Roni Khardon
2014	J	`jnl`	Relational learning helps in three-way classification of Alzheimer patients from structural magnetic resonance images of the brain. Int. J. Mach. Learn. Cybern. Sriraam Natarajan, Baidya Nath Saha, Saket Joshi, Adam Edwards, Tushar Khot, Elizabeth M. Davenport, Kristian Kersting, Christopher T. Whitlow, Joseph A. Maldjian
2013	B	`conf`	Accelerating Imitation Learning in Relational Domains via Transfer by Initialization. ILP Sriraam Natarajan, Phillip Odom, Saket Joshi, Tushar Khot, Kristian Kersting, Prasad Tadepalli
2013	—	`conf`	Relational Markov Decision Processes: Promise and Prospects. StarAI@AAAI Saket Joshi, Roni Khardon, Prasad Tadepalli, Alan Fern, Aswin Raghavan
2013	—	`conf`	Solving Relational MDPs with Exogenous Events and Additive Rewards. ECML/PKDD (1) Saket Joshi, Roni Khardon, Prasad Tadepalli, Aswin Raghavan, Alan Fern
2013	J	`jnl`	Solving Relational MDPs with Exogenous Events and Additive Rewards. CoRR Saket Joshi, Roni Khardon, Prasad Tadepalli, Aswin Raghavan, Alan Fern
2012	—	`conf`	A Machine Learning Pipeline for Three-Way Classification of Alzheimer Patients from Structural Magnetic Resonance Images of the Brain. ICMLA (1) Sriraam Natarajan, Saket Joshi, Baidya Nath Saha, Adam Edwards, Tushar Khot, Elizabeth Moody, Kristian Kersting, Christopher T. Whitlow, Joseph A. Maldjian
2012	A*	`conf`	Abstract planning for reactive robots. ICRA Saket Joshi, Paul W. Schermerhorn, Roni Khardon, Matthias Scheutz
2012	—	`conf`	Accelarating Imitation Learning in Relational Domains via Transfer by Initialization. StarAI@UAI Sriraam Natarajan, Phillip Odom, Saket Joshi, Tushar Khot, Kristian Kersting, Prasad Tadepalli
2012	A*	`conf`	Planning in Factored Action Spaces with Symbolic Dynamic Programming. AAAI Aswin Raghavan, Saket Joshi, Alan Fern, Prasad Tadepalli, Roni Khardon
2011	J	`jnl`	Decision-theoretic planning with generalized first-order decision diagrams. Artif. Intell. Saket Joshi, Kristian Kersting, Roni Khardon
2011	J	`jnl`	First Order Decision Diagrams for Relational MDPs CoRR Chenggang Wang, Saket Joshi, Roni Khardon
2011	A*	`conf`	Imitation Learning in Relational Domains: A Functional-Gradient Boosting Approach. IJCAI Sriraam Natarajan, Saket Joshi, Prasad Tadepalli, Kristian Kersting, Jude W. Shavlik
2011	J	`jnl`	Probabilistic Relational Planning with First Order Decision Diagrams. J. Artif. Intell. Res. Saket Joshi, Roni Khardon
2010	A*	`conf`	Self-Taught Decision Theoretic Planning with First Order Decision Diagrams. ICAPS Saket Joshi, Kristian Kersting, Roni Khardon
2009	A*	`conf`	Generalized First Order Decision Diagrams for First Order Markov Decision Processes. IJCAI Saket Joshi, Kristian Kersting, Roni Khardon
2008	J	`jnl`	First Order Decision Diagrams for Relational MDPs. J. Artif. Intell. Res. Chenggang Wang, Saket Joshi, Roni Khardon
2008	A*	`conf`	Stochastic Planning with First Order Decision Diagrams. ICAPS Saket Joshi, Roni Khardon
2007	A*	`conf`	First Order Decision Diagrams for Relational MDPs. IJCAI Chenggang Wang, Saket Joshi, Roni Khardon

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.