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2020 – today
- 2024
[c8]Manuel E. Segura, Pere Vergés, Justin Tian Jin Chen, Ramesh Arangott, Angela Kristine Garcia, Laura Garcia Reynoso, Alexandru Nicolau, Tony Givargis, Sergio Gago Masagué:
Enhanced Detection of Transdermal Alcohol Levels Using Hyperdimensional Computing on Embedded Devices. IJCNN 2024: 1-8- [c7]Pere Vergés, Igor Nunes, Mike Heddes, Tony Givargis, Alexandru Nicolau:
Molecular Classification Using Hyperdimensional Graph Classification. IJCNN 2024: 1-8 - [i5]Pere Vergés, Igor Nunes, Mike Heddes, Tony Givargis, Alexandru Nicolau:
Molecular Classification Using Hyperdimensional Graph Classification. CoRR abs/2403.12307 (2024) - [i4]Manuel E. Segura, Pere Vergés, Justin Tian Jin Chen, Ramesh Arangott, Angela Kristine Garcia, Laura Garcia Reynoso, Alexandru Nicolau, Tony Givargis, Sergio Gago Masagué
:
Enhanced Detection of Transdermal Alcohol Levels Using Hyperdimensional Computing on Embedded Devices. CoRR abs/2403.12323 (2024) - 2023
- [j1]Mike Heddes, Igor Nunes, Pere Vergés, Denis Kleyko, Danny Abraham, Tony Givargis, Alexandru Nicolau, Alexander V. Veidenbaum:
Torchhd: An Open Source Python Library to Support Research on Hyperdimensional Computing and Vector Symbolic Architectures. J. Mach. Learn. Res. 24: 255:1-255:10 (2023) - [c6]Francesc Lordan, Gabriel Puigdemunt, Pere Vergés, Javier Conejero, Jorge Ejarque, Rosa M. Badia:
Hierarchical Management of Extreme-Scale Task-Based Applications. Euro-Par 2023: 111-124 - [c5]Pere Vergés, Tony Givargis, Alexandru Nicolau:
RefineHD: Accurate and Efficient Single-Pass Adaptive Learning Using Hyperdimensional Computing. ICRC 2023: 1-8 - [c4]Igor Nunes, Mike Heddes, Pere Vergés, Danny Abraham, Alexander V. Veidenbaum, Alex Nicolau, Tony Givargis:
DotHash: Estimating Set Similarity Metrics for Link Prediction and Document Deduplication. KDD 2023: 1758-1769 - [c3]Pere Vergés, Igor Nunes, Mike Heddes, Tony Givargis, Alexandru Nicolau:
Accelerating Permute and N-Gram Operations for Hyperdimensional Learning in Embedded Systems. RTCSA 2023: 253-260 - [i3]Pere Vergés, Mike Heddes, Igor Nunes, Tony Givargis, Alexandru Nicolau:
HDCC: A Hyperdimensional Computing compiler for classification on embedded systems and high-performance computing. CoRR abs/2304.12398 (2023) - [i2]Igor Nunes, Mike Heddes, Pere Vergés, Danny Abraham, Alexander V. Veidenbaum, Alexandru Nicolau, Tony Givargis:
DotHash: Estimating Set Similarity Metrics for Link Prediction and Document Deduplication. CoRR abs/2305.17310 (2023) - 2022
- [c2]Pere Vergés, Francesc Lordan, Jorge Ejarque, Rosa M. Badia:
Task-Level Checkpointing System for Task-Based Parallel Workflows. Euro-Par Workshops 2022: 251-262 - [i1]Mike Heddes, Igor Nunes, Pere Vergés, Dheyay Desai, Tony Givargis, Alexandru Nicolau:
Torchhd: An Open-Source Python Library to Support Hyperdimensional Computing Research. CoRR abs/2205.09208 (2022) - 2020
- [c1]Pere Vergés Boncompte, Marta R. Costa-jussà:
Multilingual Neural Machine Translation: Case-study for Catalan, Spanish and Portuguese Romance Languages. WMT@EMNLP 2020: 447-450
Coauthor Index
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