Combining Spatial and Social Awareness in D2D Opportunistic Routing. - Ivan Oliveira Nunes; Clayson Celes; Igor Nunes; Pedro O. S. Vaz de Melo; Antonio A. F. Loureiro (IEEE Commun. Mag., 2018)

Hyperdimensional hashing: a robust and efficient dynamic hash table. - Mike Heddes; Igor Nunes; Tony Givargis; Alexandru Nicolau; Alexander V. Veidenbaum (DAC, 2022)

GraphHD: Efficient graph classification using hyperdimensional computing. - Igor Nunes; Mike Heddes; Tony Givargis; Alexandru Nicolau; Alexander V. Veidenbaum (DATE, 2022)

Torchhd: An Open-Source Python Library to Support Hyperdimensional Computing Research. - Mike Heddes; Igor Nunes; Pere Vergés; Dheyay Desai; Tony Givargis; Alexandru Nicolau (CoRR, 2022)

An Extension to Basis-Hypervectors for Learning from Circular Data in Hyperdimensional Computing. - Igor Nunes; Mike Heddes; Tony Givargis; Alexandru Nicolau (DAC, 2023)

DotHash: Estimating Set Similarity Metrics for Link Prediction and Document Deduplication. - Igor Nunes; Mike Heddes; Pere Vergés; Danny Abraham; Alexander V. Veidenbaum; Alex Nicolau; Tony Givargis (KDD, 2023)

Accelerating Permute and N-Gram Operations for Hyperdimensional Learning in Embedded Systems. - Pere Vergés; Igor Nunes; Mike Heddes; Tony Givargis; Alexandru Nicolau (RTCSA, 2023)

HDCC: A Hyperdimensional Computing compiler for classification on embedded systems and high-performance computing. - Pere Vergés; Mike Heddes; Igor Nunes; Tony Givargis; Alexandru Nicolau (CoRR, 2023)

Torchhd: An Open Source Python Library to Support Research on Hyperdimensional Computing and Vector Symbolic Architectures. - Mike Heddes; Igor Nunes; Pere Vergés; Denis Kleyko; Danny Abraham; Tony Givargis; Alexandru Nicolau; Alexander V. Veidenbaum (J. Mach. Learn. Res., 2023)

Molecular Classification Using Hyperdimensional Graph Classification. - Pere Vergés; Igor Nunes; Mike Heddes; Tony Givargis; Alexandru Nicolau (IJCNN, 2024)

Convolution and Cross-Correlation of Count Sketches Enables Fast Cardinality Estimation of Multi-Join Queries. - Mike Heddes; Igor Nunes; Tony Givargis; Alex Nicolau (Proc. ACM Manag. Data, 2024)

Hyperdimensional computing: a framework for stochastic computation and symbolic AI. - Mike Heddes; Igor Nunes; Tony Givargis; Alexandru Nicolau; Alexander V. Veidenbaum (J. Big Data, 2024)

A transient equivalence between Aldous-Broder and Wilson's algorithms and a two-stage framework for generating uniform spanning trees. - Igor Nunes; Giulio Iacobelli; Daniel Ratton Figueiredo (Discret. Math., 2025)

UruBots RoboCup Work Team Description Paper. - Hiago Sodre; Juan M. Deniz; Pablo Moraes; William Moraes; Igor Nunes; Vincent Sandin; Ahilen Mazondo; Santiago Fernández; Gabriel da Silva; Mónica Rodríguez; Sebastian Barcelona; Ricardo B. Grando (CoRR, 2025)

RoboCup Rescue 2025 Team Description Paper UruBots. - Kevin Farias; Pablo Ezequiel Moraes; Igor Nunes; Juan Deniz; Sebastian Barcelona; Hiago Sodre; William Moraes; Mónica Rodríguez; Ahilen Mazondo; Vincent Sandin; Gabriel da Silva; Victoria Saravia; et al. (CoRR, 2025)

Classification using hyperdimensional computing: a review with comparative analysis. - Pere Vergés; Mike Heddes; Igor Nunes; Denis Kleyko; Tony Givargis; Alexandru Nicolau (Artif. Intell. Rev., 2025)

UruBots Autonomous Cars Challenge Pro Team Description Paper for FIRA 2025. - Pablo Moraes; Mónica Rodríguez; Sebastian Barcelona; Angél da Silva; Santiago Fernández; Hiago Sodre; Igor Nunes; Bruna Guterres; Ricardo B. Grando (CoRR, 2025)