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David Atienza
David Atienza Alonso
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- affiliation: Swiss Federal Institute of Technology in Lausanne, Switzerland
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2020 – today
- 2024
- [j126]Una Pale, Tomás Teijeiro, Sylvain Rheims, Philippe Ryvlin, David Atienza:
Combining general and personal models for epilepsy detection with hyperdimensional computing. Artif. Intell. Medicine 148: 102754 (2024) - [j125]Hojjat Karami, David Atienza, Anisoara Ionescu:
TEE4EHR: Transformer event encoder for better representation learning in electronic health records. Artif. Intell. Medicine 154: 102903 (2024) - [j124]Cristian Tirelli, Juan Sapriza, Rubén Rodríguez Álvarez, Lorenzo Ferretti, Benoît W. Denkinger, Giovanni Ansaloni, Jose Angel Miranda, David Atienza, Laura Pozzi:
SAT-Based Exact Modulo Scheduling Mapping for Resource-Constrained CGRAs. ACM J. Emerg. Technol. Comput. Syst. 20(3): 8:1-8:26 (2024) - [j123]Qunyou Liu, Darong Huang, Luis Costero, Marina Zapater, David Atienza:
Intermediate Address Space: virtual memory optimization of heterogeneous architectures for cache-resident workloads. ACM Trans. Archit. Code Optim. 21(3): 50:1-50:23 (2024) - [j122]Saleh Baghersalimi, Tomás Teijeiro, Amir Aminifar, David Atienza:
Decentralized Federated Learning for Epileptic Seizures Detection in Low-Power Wearable Systems. IEEE Trans. Mob. Comput. 23(5): 6392-6407 (2024) - [j121]Darong Huang, Luis Costero, David Atienza:
An Evaluation Framework for Dynamic Thermal Management Strategies in 3D MultiProcessor System-on-Chip Co-Design. IEEE Trans. Parallel Distributed Syst. 35(11): 2161-2176 (2024) - [j120]Darong Huang, Luis Costero, Ali Pahlevan, Marina Zapater, David Atienza:
CloudProphet: A Machine Learning-Based Performance Prediction for Public Clouds. IEEE Trans. Sustain. Comput. 9(4): 661-676 (2024) - [j119]Pengbo Yu, Flavio Ponzina, Alexandre Levisse, Mohit Gupta, Dwaipayan Biswas, Giovanni Ansaloni, David Atienza, Francky Catthoor:
An Energy Efficient Soft SIMD Microarchitecture and Its Application on Quantized CNNs. IEEE Trans. Very Large Scale Integr. Syst. 32(6): 1018-1031 (2024) - [c244]Darong Huang, Luis Costero, David Atienza:
Is the powersave governor really saving power? CCGrid 2024: 273-283 - [c243]Nicolò Carpentieri, Juan Sapriza, Pasquale Davide Schiavone, Daniele Jahier Pagliari, David Atienza, Maurizio Martina, Alessio Burrello:
Performance evaluation of acceleration of convolutional layers on OpenEdgeCGRA. CF (Companion) 2024 - [c242]Ian O'Connor, Sara Mannaa, Alberto Bosio, Bastien Deveautour, Damien Deleruyelle, Tetiana Obukhova, Cédric Marchand, Jens Trommer, Çigdem Çakirlar, Bruno Neckel Wesling, Thomas Mikolajick, Oskar Baumgartner, Mischa Thesberg, David Pirker, Christoph Lenz, Zlatan Stanojevic, Markus Karner, Guilhem Larrieu, Sylvain Pelloquin, Konstantinous Moustakas, Jonas Müller, Giovanni Ansaloni, Alireza Amirshahi, David Atienza, Jean-Luc Rouas, Leila Ben Letaifa, Georgeta Bordeall, Charles Brazier, Chhandak Mukherjee, Marina Deng, Yifan Wang, Marc François, Houssem Rezgui, Reveil Lucas, Cristell Maneux:
FVLLMONTI: The 3D Neural Network Compute Cube $(N^{2}C^{2})$ Concept for Efficient Transformer Architectures Towards Speech-to-Speech Translation. DATE 2024: 1-6 - [c241]Alireza Amirshahi, Giovanni Ansaloni, David Atienza:
Accelerator-Driven Data Arrangement to Minimize Transformers Run-Time on Multi-Core Architectures. PARMA-DITAM 2024: 2:1-2:13 - [c240]Anna Burdina, Gabriel Catel Torres, Pasquale Davide Schiavone, Miguel Peón Quirós, Giovanni Ansaloni, David Atienza, Marina Zapater:
Cross-layer Exploration of 2.5D Energy-Efficient Heterogeneous Chiplets Integration: From System Simulation to Open Hardware. ISLPED 2024: 1-6 - [c239]Hossein Taji, Jose Miranda, Miguel Peón Quirós, David Atienza:
Energy-Efficient Frequency Selection Method for Bio-Signal Acquisition in AI/ML Wearables. ISLPED 2024: 1-6 - [c238]Pengbo Yu, Flavio Ponzina, Alexandre Levisse, Dwaipayan Biswas, Giovanni Ansaloni, David Atienza, Francky Catthoor:
DBFS: Dynamic Bitwidth-Frequency Scaling for Efficient Software-defined SIMD. ISVLSI 2024: 204-209 - [i45]Simone Machetti, Pasquale Davide Schiavone, Thomas Christoph Müller, Miguel Peón Quirós, David Atienza:
X-HEEP: An Open-Source, Configurable and Extendible RISC-V Microcontroller for the Exploration of Ultra-Low-Power Edge Accelerators. CoRR abs/2401.05548 (2024) - [i44]Corey Lammie, Flavio Ponzina, Yuxuan Wang, Joshua Klein, Marina Zapater, Irem Boybat, Abu Sebastian, Giovanni Ansaloni, David Atienza:
LionHeart: A Layer-based Mapping Framework for Heterogeneous Systems with Analog In-Memory Computing Tiles. CoRR abs/2401.09420 (2024) - [i43]Hojjat Karami, Mary-Anne Hartley, David Atienza, Anisoara Ionescu:
TimEHR: Image-based Time Series Generation for Electronic Health Records. CoRR abs/2402.06318 (2024) - [i42]Hojjat Karami, David Atienza, Anisoara Ionescu:
TEE4EHR: Transformer Event Encoder for Better Representation Learning in Electronic Health Records. CoRR abs/2402.06367 (2024) - [i41]Cristian Tirelli, Juan Sapriza, Rubén Rodríguez Álvarez, Lorenzo Ferretti, Benoît W. Denkinger, Giovanni Ansaloni, Jose Angel Miranda Calero, David Atienza, Laura Pozzi:
SAT-based Exact Modulo Scheduling Mapping for Resource-Constrained CGRAs. CoRR abs/2402.12834 (2024) - [i40]Jonathan Dan, Una Pale, Alireza Amirshahi, William Cappelletti, Thorir Mar Ingolfsson, Xiaying Wang, Andrea Cossettini, Adriano Bernini, Luca Benini, Sándor Beniczky, David Atienza, Philippe Ryvlin:
SzCORE: A Seizure Community Open-source Research Evaluation framework for the validation of EEG-based automated seizure detection algorithms. CoRR abs/2402.13005 (2024) - [i39]Nicolò Carpentieri, Juan Sapriza, Pasquale Davide Schiavone, Daniele Jahier Pagliari, David Atienza, Maurizio Martina, Alessio Burrello:
Performance evaluation of acceleration of convolutional layers on OpenEdgeCGRA. CoRR abs/2403.01236 (2024) - [i38]Daniel Vázquez, Jose Miranda, Alfonso Rodríguez, Andrés Otero, Pasquale Davide Schiavone, David Atienza:
STRELA: STReaming ELAstic CGRA Accelerator for Embedded Systems. CoRR abs/2404.12503 (2024) - [i37]Christodoulos Kechris, Jonathan Dan, Jose Miranda, David Atienza:
KID-PPG: Knowledge Informed Deep Learning for Extracting Heart Rate from a Smartwatch. CoRR abs/2405.09559 (2024) - [i36]Christodoulos Kechris, Jérôme Thevenot, Tomás Teijeiro, Vincent A. Stadelmann, Nicola A. Maffiuletti, David Atienza:
Acoustical Features as Knee Health Biomarkers: A Critical Analysis. CoRR abs/2405.15085 (2024) - [i35]Lara Orlandic, Jonathan Dan, Jérôme Thevenot, Tomás Teijeiro, Alain Sauty, David Atienza:
How to Count Coughs: An Event-Based Framework for Evaluating Automatic Cough Detection Algorithm Performance. CoRR abs/2406.01529 (2024) - [i34]Dimitrios Samakovlis, Stefano Albini, Rubén Rodríguez Álvarez, Denisa-Andreea Constantinescu, Pasquale Davide Schiavone, Miguel Peón Quirós, David Atienza:
BiomedBench: A benchmark suite of TinyML biomedical applications for low-power wearables. CoRR abs/2406.03886 (2024) - [i33]Michele Caon, Clément Choné, Pasquale Davide Schiavone, Alexandre Levisse, Guido Masera, Maurizio Martina, David Atienza:
Scalable and RISC-V Programmable Near-Memory Computing Architectures for Edge Nodes. CoRR abs/2406.14263 (2024) - [i32]José L. Risco-Martín, J. Manuel Colmenar, David Atienza, J. Ignacio Hidalgo:
Simulation of high-performance memory allocators. CoRR abs/2406.15776 (2024) - [i31]José L. Risco-Martín, David Atienza, J. Manuel Colmenar, Oscar Garnica:
A parallel evolutionary algorithm to optimize dynamic memory managers in embedded systems. CoRR abs/2407.09555 (2024) - [i30]Christodoulos Kechris, Jonathan Dan, Jose Miranda, David Atienza:
DC is all you need: describing ReLU from a signal processing standpoint. CoRR abs/2407.16556 (2024) - [i29]Alireza Amirshahi, Maedeh H. Toosi, Siamak Mohammadi, Stefano Albini, Pasquale Davide Schiavone, Giovanni Ansaloni, Amir Aminifar, David Atienza:
MetaWearS: A Shortcut in Wearable Systems Lifecycle with Only a Few Shots. CoRR abs/2408.01988 (2024) - [i28]Christodoulos Kechris, Jonathan Dan, Jose Miranda, David Atienza:
Don't Think It Twice: Exploit Shift Invariance for Efficient Online Streaming Inference of CNNs. CoRR abs/2408.03223 (2024) - 2023
- [j118]Silvio Zanoli, Giovanni Ansaloni, Tomás Teijeiro, David Atienza:
Event-based sampled ECG morphology reconstruction through self-similarity. Comput. Methods Programs Biomed. 240: 107712 (2023) - [j117]Lara Orlandic, Tomás Teijeiro, David Atienza:
A semi-supervised algorithm for improving the consistency of crowdsourced datasets: The COVID-19 case study on respiratory disorder classification. Comput. Methods Programs Biomed. 241: 107743 (2023) - [j116]Silvio Zanoli, Flavio Ponzina, Tomás Teijeiro, Alexandre Levisse, David Atienza:
An Error-Based Approximation Sensing Circuit for Event-Triggered Low-Power Wearable Sensors. IEEE J. Emerg. Sel. Topics Circuits Syst. 13(2): 489-501 (2023) - [j115]Elisabetta De Giovanni, Tomás Teijeiro, Grégoire P. Millet, David Atienza:
Adaptive R-Peak Detection on Wearable ECG Sensors for High-Intensity Exercise. IEEE Trans. Biomed. Eng. 70(3): 941-953 (2023) - [j114]Joshua Klein, Irem Boybat, Yasir Mahmood Qureshi, Martino Dazzi, Alexandre Levisse, Giovanni Ansaloni, Marina Zapater, Abu Sebastian, David Atienza:
ALPINE: Analog In-Memory Acceleration With Tight Processor Integration for Deep Learning. IEEE Trans. Computers 72(7): 1985-1998 (2023) - [j113]Benoît Walter Denkinger, Miguel Peón Quirós, Mario Konijnenburg, David Atienza, Francky Catthoor:
Acceleration of Control Intensive Applications on Coarse-Grained Reconfigurable Arrays for Embedded Systems. IEEE Trans. Computers 72(9): 2548-2560 (2023) - [j112]Halima Najibi, Alexandre Levisse, Giovanni Ansaloni, Marina Zapater, Miroslav Vasic, David Atienza:
Thermal and Voltage-Aware Performance Management of 3-D MPSoCs With Flow Cell Arrays and Integrated SC Converters. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 42(1): 2-15 (2023) - [j111]Flavio Ponzina, Marco Rios, Alexandre Levisse, Giovanni Ansaloni, David Atienza:
Overflow-free Compute Memories for Edge AI Acceleration. ACM Trans. Embed. Comput. Syst. 22(5s): 121:1-121:23 (2023) - [j110]Marco Rios, Flavio Ponzina, Alexandre Levisse, Giovanni Ansaloni, David Atienza:
Bit-Line Computing for CNN Accelerators Co-Design in Edge AI Inference. IEEE Trans. Emerg. Top. Comput. 11(2): 358-372 (2023) - [j109]Alireza Amirshahi, Anthony Hitchcock Thomas, Amir Aminifar, Tajana Rosing, David Atienza:
M2D2: Maximum-Mean-Discrepancy Decoder for Temporal Localization of Epileptic Brain Activities. IEEE J. Biomed. Health Informatics 27(1): 202-214 (2023) - [j108]Sergi Abadal, Robert Guirado, Hamidreza Taghvaee, Akshay Jain, Elana Pereira de Santana, Peter Haring Bolívar, Mohamed Saeed, Renato Negra, Zhenxing Wang, Kun-Ta Wang, Max Christian Lemme, Joshua Klein, Marina Zapater, Alexandre Levisse, David Atienza, Davide Rossi, Francesco Conti, Martino Dazzi, Geethan Karunaratne, Irem Boybat, Abu Sebastian:
Graphene-Based Wireless Agile Interconnects for Massive Heterogeneous Multi-Chip Processors. IEEE Wirel. Commun. 30(4): 162-169 (2023) - [c237]Baichuan Huang, Renato Zanetti, Azra Abtahi, David Atienza, Amir Aminifar:
EpilepsyNet: Interpretable Self-Supervised Seizure Detection for Low-Power Wearable Systems. AICAS 2023: 1-5 - [c236]Rafael Medina, Joshua Kein, Giovanni Ansaloni, Marina Zapater, Sergi Abadal, Eduard Alarcón, David Atienza:
System-Level Exploration of In-Package Wireless Communication for Multi-Chiplet Platforms. ASP-DAC 2023: 561-566 - [c235]Alireza Amirshahi, Joshua Alexander Harrison Klein, Giovanni Ansaloni, David Atienza:
TiC-SAT: Tightly-Coupled Systolic Accelerator for Transformers. ASP-DAC 2023: 657-663 - [c234]Hojjat Karami, Anisoara Ionescu, David Atienza:
Point-process-based Representation Learning for Electronic Health Records. BHI 2023: 1-4 - [c233]Pasquale Davide Schiavone, Simone Machetti, Miguel Peón Quirós, Jose Miranda, Benoît W. Denkinger, Thomas Christoph Müller, Ruben Rodríguez, Saverio Nasturzio, David Atienza Alonso:
X-HEEP: An Open-Source, Configurable and Extendible RISC-V Microcontroller. CF 2023: 379-380 - [c232]Rubén Rodríguez Álvarez, Benoît W. Denkinger, Juan Sapriza, Jose Angel Miranda Calero, Giovanni Ansaloni, David Atienza Alonso:
An Open-Hardware Coarse-Grained Reconfigurable Array for Edge Computing. CF 2023: 391-392 - [c231]Xavier Ouvrard, Miguel Peón Quirós, David Atienza:
Special Session: Challenges and Opportunities for Sustainable Multi-Scale Computing Systems. CODES+ISSS 2023: 24-27 - [c230]Michael T. Niemier, Xiaobo Sharon Hu, Liu Liu, Mohammad Mehdi Sharifi, Ian O'Connor, David Atienza, Giovanni Ansaloni, Can Li, Asif Khan, Daniel C. Ralph:
Cross Layer Design for the Predictive Assessment of Technology-Enabled Architectures. DATE 2023: 1-10 - [c229]Lara Orlandic, Jérôme Thevenot, Tomás Teijeiro, David Atienza:
A Multimodal Dataset for Automatic Edge-AI Cough Detection. EMBC 2023: 1-7 - [c228]Una Pale, Tomás Teijeiro, David Atienza:
Importance of methodological choices in data manipulation for validating epileptic seizure detection models. EMBC 2023: 1-7 - [c227]Nataliya Yakymets, Renato Zanetti, Adrian M. Ionescu, David Atienza:
Model-Based ISO 14971 Risk Management of EEG-Based Medical Devices. EMBC 2023: 1-7 - [c226]Grégoire Eggermann, Marco Rios, Giovanni Ansaloni, Sani R. Nassif, David Atienza:
A 16-bit Floating-Point Near-SRAM Architecture for Low-power Sparse Matrix-Vector Multiplication. VLSI-SoC 2023: 1-6 - [c225]Rafael Medina, Darong Huang, Giovanni Ansaloni, Marina Zapater, David Atienza:
REMOTE: Re-thinking Task Mapping on Wireless 2.5D Systems-on-Package for Hotspot Removal. VLSI-SoC 2023: 1-6 - [c224]Hossein Taji, Jose Miranda, Miguel Peón Quirós, Szabolcs Balási, David Atienza:
Dynamic Scheduling for Event-Driven Embedded Industrial Applications. VLSI-SoC 2023: 1-6 - [d9]Lara Orlandic, Jérôme Thevenot, Tomás Teijeiro, David Atienza:
A Multimodal Dataset for Automatic Edge-AI Cough Detection. Zenodo, 2023 - [i27]Una Pale, Tomás Teijeiro, David Atienza:
Importance of methodological choices in data manipulation for validating epileptic seizure detection models. CoRR abs/2302.10672 (2023) - [i26]Una Pale, Tomás Teijeiro, David Atienza:
Combining General and Personalized Models for Epilepsy Detection with Hyperdimensional Computing. CoRR abs/2303.14745 (2023) - [i25]Jingwei Sun, Zhixu Du, Anna Dai, Saleh Baghersalimi, Alireza Amirshahi, David Atienza, Yiran Chen:
Robust and IP-Protecting Vertical Federated Learning against Unexpected Quitting of Parties. CoRR abs/2303.18178 (2023) - [i24]Darong Huang, Luis Costero, Ali Pahlevan, Marina Zapater, David Atienza:
CloudProphet: A Machine Learning-Based Performance Prediction for Public Clouds. CoRR abs/2309.16333 (2023) - [i23]Alireza Amirshahi, Giovanni Ansaloni, David Atienza:
Accelerator-driven Data Arrangement to Minimize Transformers Run-time on Multi-core Architectures. CoRR abs/2312.13000 (2023) - 2022
- [j107]David Atienza, Concha Bielza, Pedro Larrañaga:
PyBNesian: An extensible python package for Bayesian networks. Neurocomputing 504: 204-209 (2022) - [j106]David Atienza, Concha Bielza, Pedro Larrañaga:
Semiparametric Bayesian networks. Inf. Sci. 584: 564-582 (2022) - [j105]Flavio Ponzina, Simone Machetti, Marco Rios, Benoît Walter Denkinger, Alexandre Levisse, Giovanni Ansaloni, Miguel Peón Quirós, David Atienza:
A Hardware/Software Co-Design Vision for Deep Learning at the Edge. IEEE Micro 42(6): 48-54 (2022) - [j104]Farnaz Forooghifar, Amir Aminifar, Leila Cammoun, Ilona Wisniewski, Carolina Ciumas, Philippe Ryvlin, David Atienza:
A Self-Aware Epilepsy Monitoring System for Real-Time Epileptic Seizure Detection. Mob. Networks Appl. 27(2): 677-690 (2022) - [j103]Renato Zanetti, Adriana Arza, Amir Aminifar, David Atienza:
Real-Time EEG-Based Cognitive Workload Monitoring on Wearable Devices. IEEE Trans. Biomed. Eng. 69(1): 265-277 (2022) - [j102]Niloofar Momeni, Adriana Arza Valdés, João Rodrigues, Carmen Sandi, David Atienza:
CAFS: Cost-Aware Features Selection Method for Multimodal Stress Monitoring on Wearable Devices. IEEE Trans. Biomed. Eng. 69(3): 1072-1084 (2022) - [j101]Darong Huang, Ali Pahlevan, Marina Zapater, David Atienza:
COCKTAIL: Multicore Co-Optimization Framework With Proactive Reliability Management. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 41(2): 386-399 (2022) - [j100]Arman Iranfar, Marina Zapater, David Atienza:
Multiagent Reinforcement Learning for Hyperparameter Optimization of Convolutional Neural Networks. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 41(4): 1034-1047 (2022) - [j99]Federico Terraneo, Alberto Leva, William Fornaciari, Marina Zapater, David Atienza:
3D-ICE 3.0: Efficient Nonlinear MPSoC Thermal Simulation With Pluggable Heat Sink Models. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 41(4): 1062-1075 (2022) - [j98]Darong Huang, Ali Pahlevan, Luis Costero, Marina Zapater, David Atienza:
Reinforcement Learning-Based Joint Reliability and Performance Optimization for Hybrid-Cache Computing Servers. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 41(12): 5596-5609 (2022) - [j97]Saleh Baghersalimi, Tomás Teijeiro, David Atienza, Amir Aminifar:
Personalized Real-Time Federated Learning for Epileptic Seizure Detection. IEEE J. Biomed. Health Informatics 26(2): 898-909 (2022) - [j96]Fabio Dell'Agnola, Ping-Keng Jao, Adriana Arza, Ricardo Chavarriaga, José del R. Millán, Dario Floreano, David Atienza:
Machine-Learning Based Monitoring of Cognitive Workload in Rescue Missions With Drones. IEEE J. Biomed. Health Informatics 26(9): 4751-4762 (2022) - [j95]Kawsar Haghshenas, Ali Pahlevan, Marina Zapater, Siamak Mohammadi, David Atienza:
MAGNETIC: Multi-Agent Machine Learning-Based Approach for Energy Efficient Dynamic Consolidation in Data Centers. IEEE Trans. Serv. Comput. 15(1): 30-44 (2022) - [c223]Una Pale, Tomás Teijeiro, David Atienza:
ExG Signal Feature Selection Using Hyperdimensional Computing Encoding. BIBM 2022: 1688-1693 - [c222]Flavio Ponzina, Miguel Peón Quirós, Giovanni Ansaloni, David Atienza:
An Accuracy-Driven Compression Methodology to Derive Efficient Codebook-Based CNNs. COINS 2022: 1-6 - [c221]Benoît W. Denkinger, Miguel Peón Quirós, Mario Konijnenburg, David Atienza, Francky Catthoor:
VWR2A: a very-wide-register reconfigurable-array architecture for low-power embedded devices. DAC 2022: 895-900 - [c220]Lorenzo Ferretti, Giovanni Ansaloni, Renaud Marquis, Tomás Teijeiro, Philippe Ryvlin, David Atienza, Laura Pozzi:
INCLASS: Incremental Classification Strategy for Self-Aware Epileptic Seizure Detection. DATE 2022: 1449-1454 - [c219]Una Pale, Tomás Teijeiro, David Atienza:
Exploration of Hyperdimensional Computing Strategies for Enhanced Learning on Epileptic Seizure Detection. EMBC 2022: 4076-4082 - [c218]Halima Najibi, Alexandre Levisse, Giovanni Ansaloni, Marina Zapater, David Atienza:
Thermal and Power-Aware Run-time Performance Management of 3D MPSoCs with Integrated Flow Cell Arrays. ACM Great Lakes Symposium on VLSI 2022: 223-228 - [c217]Marco Rios, Flavio Ponzina, Giovanni Ansaloni, Alexandre Levisse, David Atienza:
Error Resilient In-Memory Computing Architecture for CNN Inference on the Edge. ACM Great Lakes Symposium on VLSI 2022: 249-254 - [c216]William Andrew Simon, Una Pale, Tomás Teijeiro, David Atienza:
HDTorch: Accelerating Hyperdimensional Computing with GP-GPUs for Design Space Exploration. ICCAD 2022: 83:1-83:8 - [c215]Rafael Medina, Joshua Kein, Yasir Mahmood Qureshi, Marina Zapater, Giovanni Ansaloni, David Atienza:
Full System Exploration of On-Chip Wireless Communication on Many-Core Architectures. LASCAS 2022: 1-4 - [p3]Marco Aldinucci, David Atienza, Federico Bolelli, Mónica Caballero, Iacopo Colonnelli, José Flich, Jon Ander Gómez, David González, Costantino Grana, Marco Grangetto, Simone Leo, Pedro López, Dana Oniga, Roberto Paredes, Luca Pireddu, Eduardo Quiñones, Tatiana Silva, Enzo Tartaglione, Marina Zapater:
The DeepHealth Toolkit: A Key European Free and Open-Source Software for Deep Learning and Computer Vision Ready to Exploit Heterogeneous HPC and Cloud Architectures. Technologies and Applications for Big Data Value 2022: 183-202 - [d8]David Atienza, Concha Bielza, Javier Diaz-Rozo, Pedro Larrañaga:
Anomaly Detection with Laser Heat Treatment Thermal Videos. IEEE DataPort, 2022 - [i22]Una Pale, Tomás Teijeiro, David Atienza:
Exploration of Hyperdimensional Computing Strategies for Enhanced Learning on Epileptic Seizure Detection. CoRR abs/2201.09759 (2022) - [i21]Benoît Walter Denkinger, Miguel Peón Quirós, Mario Konijnenburg, David Atienza, Francky Catthoor:
VWR2A: A Very-Wide-Register Reconfigurable-Array Architecture for Low-Power Embedded Devices. CoRR abs/2204.05009 (2022) - [i20]Una Pale, Tomás Teijeiro, David Atienza:
Hyperdimensional computing encoding for feature selection on the use case of epileptic seizure detection. CoRR abs/2205.07654 (2022) - [i19]Joshua Klein, Irem Boybat, Yasir Mahmood Qureshi, Martino Dazzi, Alexandre Levisse, Giovanni Ansaloni, Marina Zapater, Abu Sebastian, David Atienza:
ALPINE: Analog In-Memory Acceleration with Tight Processor Integration for Deep Learning. CoRR abs/2205.10042 (2022) - [i18]William Andrew Simon, Una Pale, Tomás Teijeiro, David Atienza:
HDTorch: Accelerating Hyperdimensional Computing with GP-GPUs for Design Space Exploration. CoRR abs/2206.04746 (2022) - [i17]Saleh Baghersalimi, Alireza Amirshahi, Farnaz Forooghifar, Tomás Teijeiro, Amir Aminifar, David Atienza:
Many-to-One Knowledge Distillation of Real-Time Epileptic Seizure Detection for Low-Power Wearable Internet of Things Systems. CoRR abs/2208.00885 (2022) - [i16]Lara Orlandic, Tomás Teijeiro, David Atienza:
A Semi-Supervised Algorithm for Improving the Consistency of Crowdsourced Datasets: The COVID-19 Case Study on Respiratory Disorder Classification. CoRR abs/2209.04360 (2022) - [i15]Marco Rios, Flavio Ponzina, Alexandre Levisse, Giovanni Ansaloni, David Atienza:
Bit-Line Computing for CNN Accelerators Co-Design in Edge AI Inference. CoRR abs/2209.06108 (2022) - [i14]Pengbo Yu, Alexandre Levisse, Mohit Gupta, Timon Evenblij, Giovanni Ansaloni, Francky Catthoor, David Atienza:
A Soft SIMD Based Energy Efficient Computing Microarchitecture. CoRR abs/2212.09358 (2022) - 2021
- [j94]Valentin Gabeff, Tomás Teijeiro, Marina Zapater, Leila Cammoun, Sylvain Rheims, Philippe Ryvlin, David Atienza:
Interpreting deep learning models for epileptic seizure detection on EEG signals. Artif. Intell. Medicine 117: 102084 (2021) - [j93]Ramon Canal, Carles Hernández, Rafael Tornero, Alessandro Cilardo, Giuseppe Massari, Federico Reghenzani, William Fornaciari, Marina Zapater, David Atienza, Ariel Oleksiak, Wojciech Piatek, Jaume Abella:
Predictive Reliability and Fault Management in Exascale Systems: State of the Art and Perspectives. ACM Comput. Surv. 53(5): 95:1-95:32 (2021) - [j92]Giulio Masinelli, Fabio Dell'Agnola, Adriana Arza Valdés, David Atienza:
SPARE: A Spectral Peak Recovery Algorithm for PPG Signals Pulsewave Reconstruction in Multimodal Wearable Devices. Sensors 21(8): 2725 (2021) - [j91]Yasir Mahmood Qureshi, William Andrew Simon, Marina Zapater, Katzalin Olcoz, David Atienza:
Gem5-X: A Many-core Heterogeneous Simulation Platform for Architectural Exploration and Optimization. ACM Trans. Archit. Code Optim. 18(4): 44:1-44:27 (2021) - [j90]Fabio Dell'Agnola, Una Pale, Rodrigo Marino, Adriana Arza, David Atienza:
MBioTracker: Multimodal Self-Aware Bio-Monitoring Wearable System for Online Workload Detection. IEEE Trans. Biomed. Circuits Syst. 15(5): 994-1007 (2021) - [j89]Damián Pascual, Alireza Amirshahi, Amir Aminifar, David Atienza, Philippe Ryvlin, Roger Wattenhofer:
EpilepsyGAN: Synthetic Epileptic Brain Activities With Privacy Preservation. IEEE Trans. Biomed. Eng. 68(8): 2435-2446 (2021) - [j88]Flavio Ponzina, Miguel Peón Quirós, Andreas Burg, David Atienza:
E2CNNs: Ensembles of Convolutional Neural Networks to Improve Robustness Against Memory Errors in Edge-Computing Devices. IEEE Trans. Computers 70(8): 1199-1212 (2021) - [j87]