Rajmonda Sulo Caceres

34 papers A* 2C 2Misc 4Journal 16Unranked 9

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	Accelerated Discovery of Set Cover Solutions via Graph Neural Networks. CPAIOR (2) Zohair Shafi, Benjamin A. Miller, Tina Eliassi-Rad, Rajmonda Sulo Caceres
2025	J	`jnl`	Radar2Shape: 3D Shape Reconstruction from High-Frequency Radar using Multiresolution Signed Distance Functions. CoRR Neel Sortur, Justin Goodwin, Purvik Patel, Luis Enrique Martinez Jr, Tzofi Klinghoffer, Rajmonda Sulo Caceres, Robin Walters
2025	Misc	`conf`	Reducing the Sensitivity of Neural Physics Simulators to Mesh Topology via Pretraining. ICASSP Nathan Vaska, Justin Goodwin, Robin Walters, Rajmonda Sulo Caceres
2025	J	`jnl`	Reducing the Sensitivity of Neural Physics Simulators to Mesh Topology via Pretraining. CoRR Nathan Vaska, Justin Goodwin, Robin Walters, Rajmonda Sulo Caceres
2023	J	`jnl`	GRASP: Accelerating Shortest Path Attacks via Graph Attention. CoRR Zohair Shafi, Benjamin A. Miller, Ayan Chatterjee, Tina Eliassi-Rad, Rajmonda Sulo Caceres
2023	J	`jnl`	Graph-SCP: Accelerating Set Cover Problems with Graph Neural Networks. CoRR Zohair Shafi, Benjamin A. Miller, Tina Eliassi-Rad, Rajmonda Sulo Caceres
2022	J	`jnl`	Antibody Representation Learning for Drug Discovery. CoRR Lin Li, Esther Gupta, John Spaeth, Leslie Shing, Tristan Bepler, Rajmonda Sulo Caceres
2022	J	`jnl`	Artificial intelligence for synthetic biology. Commun. ACM Mohammed Eslami, Aaron Adler, Rajmonda Sulo Caceres, Joshua G. Dunn, Nancy Kelley-Loughnane, Vanessa A. Varaljay, Héctor García Martín
2022	J	`jnl`	System Analysis for Responsible Design of Modern AI/ML Systems. CoRR Virginia H. Goodwin, Rajmonda Sulo Caceres
2021	J	`jnl`	Selective network discovery via deep reinforcement learning on embedded spaces. Appl. Netw. Sci. Peter Morales, Rajmonda Sulo Caceres, Tina Eliassi-Rad
2019	—	`conf`	Deep Reinforcement Learning for Task-Driven Discovery of Incomplete Networks. COMPLEX NETWORKS (1) Peter Morales, Rajmonda Sulo Caceres, Tina Eliassi-Rad
2019	J	`jnl`	Deep Reinforcement Learning for Task-driven Discovery of Incomplete Networks. CoRR Peter Morales, Rajmonda Sulo Caceres, Tina Eliassi-Rad
2019	A*	`conf`	Incompleteness in Networks: Biases, Skewed Results, and Some Solutions. KDD Tina Eliassi-Rad, Rajmonda Sulo Caceres, Timothy LaRock
2017	J	`jnl`	A supervised approach to time scale detection in dynamic networks. CoRR Benjamin Fish, Rajmonda Sulo Caceres
2017	C	`conf`	Challenges and Solutions with Alignment and Enrichment of Word Embedding Models. NLDB Cem Safak Sahin, Rajmonda Sulo Caceres, Brandon Oselio, William M. Campbell
2017	J	`jnl`	Consistent Alignment of Word Embedding Models. CoRR Cem Safak Sahin, Rajmonda Sulo Caceres, Brandon Oselio, William M. Campbell
2017	J	`jnl`	Graph Model Selection via Random Walks. CoRR Lin Li, William M. Campbell, Rajmonda Sulo Caceres
2017	Misc	`conf`	Network discovery using content and homophily. ICASSP Steven Thomas Smith, Rajmonda Sulo Caceres, Kenneth D. Senne, Molly McMahon, Timothy Greer
2016	—	`conf`	A Reverse Approach to Named Entity Extraction and Linking in Microposts. #Microposts Kara Greenfield, Rajmonda Sulo Caceres, Michael Coury, Kelly Geyer, Youngjune Gwon, Jason Matterer, Alyssa C. Mensch, Cem Safak Sahin, Olga Simek
2016	J	`jnl`	Current and Future Challenges in Mining Large Networks: Report on the Second SDM Workshop on Mining Networks and Graphs. SIGKDD Explor. Lawrence B. Holder, Rajmonda Sulo Caceres, David F. Gleich, E. Jason Riedy, Maleq Khan, Nitesh V. Chawla, Ravi Kumar, Yinghui Wu, Christine Klymko, Tina Eliassi-Rad, B. Aditya Prakash
2016	J	`jnl`	Detectability of small communities in multilayer and temporal networks: Eigenvector localization, layer aggregation, and time series discretization. CoRR Dane Taylor, Rajmonda Sulo Caceres, Peter J. Mucha
2016	—	`conf`	Intersection and convex combination in multi-source spectral planted cluster detection. GlobalSIP Benjamin A. Miller, Rajmonda Sulo Caceres, Steven Thomas Smith
2016	J	`jnl`	Model Selection Framework for Graph-based data. CoRR Rajmonda Sulo Caceres, Leah Weiner, Matthew C. Schmidt, Benjamin A. Miller, William M. Campbell
2015	—	`conf`	Control of epidemics on graphs. CDC Christopher Ho, Mykel J. Kochenderfer, Vineet Mehta, Rajmonda Sulo Caceres
2015	—	`conf`	Handling Oversampling in Dynamic Networks Using Link Prediction. ECML/PKDD (2) Benjamin Fish, Rajmonda Sulo Caceres
2015	J	`jnl`	Handling oversampling in dynamic networks using link prediction. CoRR Benjamin Fish, Rajmonda Sulo Caceres
2015	Misc	`conf`	Improved hidden clique detection by optimal linear fusion of multiple adjacency matrices. ACSSC Himanshu Nayar, Benjamin A. Miller, Kelly Geyer, Rajmonda Sulo Caceres, Steven Thomas Smith, Raj Rao Nadakuditi
2015	Misc	`conf`	Residuals-based subgraph detection with cue vertices. ACSSC Benjamin A. Miller, Stephen Kelley, Rajmonda Sulo Caceres, Steven Thomas Smith
2014	C	`conf`	Evaluating topic quality using model clustering. CIDM Vineet Mehta, Rajmonda Sulo Caceres, Kevin M. Carter
2014	A*	`conf`	Latent community discovery through enterprise user search query modeling. SIGIR Kevin M. Carter, Rajmonda Sulo Caceres, Ben Priest
2011	—	`conf`	Temporal Scale of Processes in Dynamic Networks. ICDM Workshops Rajmonda Sulo Caceres, Tanya Y. Berger-Wolf, Robert Grossman
2010	—	`conf`	Meaningful selection of temporal resolution for dynamic networks. MLG@KDD Rajmonda Sulo Caceres, Tanya Y. Berger-Wolf, Robert Grossman
2008	—	`ch.`	Discovering Emergent Behavior from Network Packet Data. Next Generation of Data Mining Robert L. Grossman, Michal Sabala, Yunhong Gu, Anushka Anand, Matt Handley, Rajmonda Sulo Caceres, Lee Wilkinson
2008	—	`conf`	The Impact of Structural Changes on Predictions of Diffusion in Networks. ICDM Workshops Mayank Lahiri, Arun S. Maiya, Rajmonda Sulo Caceres, Habiba, Tanya Y. Berger-Wolf

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.