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Arman Iranfar
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- affiliation: Swiss Federal Institute of Technology Lausanne (EPFL), Lausanne, Switzerland
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2020 – today
- 2024
- [c14]Philipp Denzel, Stefan Brunner, Yann Billeter, Oliver Forster, Carmen Frischknecht-Gruber, Monika Reif, Frank-Peter Schilling, Joanna Weng, Ricardo Chavarriaga, Amin Amini, Marco Repetto, Arman Iranfar:
Towards the Certification of AI-based Systems. SDS 2024: 84-91 - 2022
- [j5]Arman Iranfar
, Marina Zapater
Multiagent Reinforcement Learning for Hyperparameter Optimization of Convolutional Neural Networks. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 41(4): 1034-1047 (2022) - 2021
- [c13]Arman Iranfar, Adriana Arza, David Atienza:
ReLearn: A Robust Machine Learning Framework in Presence of Missing Data for Multimodal Stress Detection from Physiological Signals*. EMBC 2021: 535-541 - [i1]Arman Iranfar, Adriana Arza, David Atienza:
ReLearn: A Robust Machine Learning Framework in Presence of Missing Data for Multimodal Stress Detection from Physiological Signals. CoRR abs/2104.14278 (2021) - 2020
- [j4]Luis Costero
Resource Management for Power-Constrained HEVC Transcoding Using Reinforcement Learning. IEEE Trans. Parallel Distributed Syst. 31(12): 2834-2850 (2020) - [c12]Arman Iranfar, Federico Terraneo
Dynamic Thermal Management with Proactive Fan Speed Control Through Reinforcement Learning. DATE 2020: 418-423
2010 – 2019
- 2019
- [c11]Arman Iranfar, Ali Pahlevan, Marina Zapater, David Atienza:
Enhancing Two-Phase Cooling Efficiency through Thermal-Aware Workload Mapping for Power-Hungry Servers. DATE 2019: 66-71 - [c10]Luis Costero
MAMUT: Multi-Agent Reinforcement Learning for Efficient Real-Time Multi-User Video Transcoding. DATE 2019: 558-563 - [c9]Arman Iranfar, Wellington Silva de Souza, Marina Zapater, Katzalin Olcoz
A Machine Learning-Based Framework for Throughput Estimation of Time-Varying Applications in Multi-Core Servers. VLSI-SoC 2019: 211-216 - [c8]Wellington Silva de Souza, Arman Iranfar, Anderson B. N. da Silva, Marina Zapater, Samuel Xavier de Souza
A QoS and Container-Based Approach for Energy Saving and Performance Profiling in Multi-Core Servers. VLSI-SoC 2019: 230-231 - 2018
- [j3]José Flich
Exploring manycore architectures for next-generation HPC systems through the MANGO approach. Microprocess. Microsystems 61: 154-170 (2018) - [j2]Arman Iranfar
TheSPoT: Thermal Stress-Aware Power and Temperature Management for Multiprocessor Systems-on-Chip. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 37(8): 1532-1545 (2018) - [j1]Arman Iranfar
Machine Learning-Based Quality-Aware Power and Thermal Management of Multistream HEVC Encoding on Multicore Servers. IEEE Trans. Parallel Distributed Syst. 29(10): 2268-2281 (2018) - [c7]Arman Iranfar, Ali Pahlevan, Marina Zapater
Online efficient bio-medical video transcoding on MPSoCs through content-aware workload allocation. DATE 2018: 949-954 - [c6]Arman Iranfar, William Andrew Simon, Marina Zapater
A Machine Learning-Based Strategy for Efficient Resource Management of Video Encoding on Heterogeneous MPSoCs. ISCAS 2018: 1-5 - 2017
- [c5]Arman Iranfar, Marina Zapater
A machine learning-based approach for power and thermal management of next-generation video coding on MPSoCs: work-in-progress. CODES+ISSS 2017: 14:1-14:2 - [c4]José Flich
MANGO: Exploring Manycore Architectures for Next-GeneratiOn HPC Systems. DSD 2017: 478-485 - [c3]Arman Iranfar, Federico Terraneo
Thermal characterization of next-generation workloads on heterogeneous MPSoCs. SAMOS 2017: 286-291 - 2015
- [c2]Mehdi Kamal, Arman Iranfar, Ali Afzali-Kusha, Massoud Pedram:
A thermal stress-aware algorithm for power and temperature management of MPSoCs. DATE 2015: 954-959 - [c1]Arman Iranfar, Soheil Nazar Shahsavani, Mehdi Kamal, Ali Afzali-Kusha:
A heuristic machine learning-based algorithm for power and thermal management of heterogeneous MPSoCs. ISLPED 2015: 291-296
Coauthor Index
aka: David Atienza Alonso
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