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Ourania Spantidi
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Year
The effects of appearance and motion of virtual characters on emotional reactivity
C Mousas, D Anastasiou, O Spantidi
Computers in Human behavior 86, 99-108, 2018
982018
Control variate approximation for DNN accelerators
G Zervakis, O Spantidi, I Anagnostopoulos, H Amrouch, J Henkel
2021 58th acm/ieee design automation conference (dac), 481-486, 2021
312021
Positive/negative approximate multipliers for DNN accelerators
O Spantidi, G Zervakis, I Anagnostopoulos, H Amrouch, J Henkel
2021 IEEE/ACM International Conference On Computer Aided Design (ICCAD), 1-9, 2021
252021
Thermal-aware design for approximate DNN accelerators
G Zervakis, I Anagnostopoulos, S Salamin, O Spantidi, ...
IEEE Transactions on Computers 71 (10), 2687-2697, 2022
202022
Tltk: A toolbox for parallel robustness computation of temporal logic specifications
J Cralley, O Spantidi, B Hoxha, G Fainekos
Runtime Verification: 20th International Conference, RV 2020, Los Angeles …, 2020
192020
Targeting dnn inference via efficient utilization of heterogeneous precision dnn accelerators
O Spantidi, G Zervakis, S Alsalamin, I Roman-Ballesteros, J Henkel, ...
IEEE Transactions on Emerging Topics in Computing 11 (1), 112-125, 2022
182022
Reliability-aware quantization for anti-aging NPUs
S Salamin, G Zervakis, O Spantidi, I Anagnostopoulos, J Henkel, ...
2021 Design, Automation & Test in Europe Conference & Exhibition (DATE …, 2021
162021
Frequency-based power efficiency improvement of CNNs on heterogeneous IoT computing systems
O Spantidi, I Galanis, I Anagnostopoulos
2020 IEEE 6th World Forum on Internet of Things (WF-IoT), 1-6, 2020
142020
Online frequency-based performance and power estimation for clustered multi-processor systems
S Kundan, O Spantidi, I Anagnostopoulos
Computers & Electrical Engineering 90, 106971, 2021
82021
Energy-efficient dnn inference on approximate accelerators through formal property exploration
O Spantidi, G Zervakis, I Anagnostopoulos, J Henkel
IEEE Transactions on Computer-Aided Design of Integrated Circuits and …, 2022
62022
How much is too much error? Analyzing the impact of approximate multipliers on DNNs
O Spantidi, I Anagnostopoulos
2022 23rd International Symposium on Quality Electronic Design (ISQED), 1-6, 2022
52022
Synthesizing play-ready VR scenes with natural language prompts through GPT API
LR Kouzelis, O Spantidi
International Symposium on Visual Computing, 15-26, 2023
42023
Automated energy-efficient dnn compression under fine-grain accuracy constraints
O Spantidi, I Anagnostopoulos
2023 Design, Automation & Test in Europe Conference & Exhibition (DATE), 1-6, 2023
42023
Dynamic image difficulty-aware dnn pruning
V Pentsos, O Spantidi, I Anagnostopoulos
Micromachines 14 (5), 908, 2023
32023
Efficient resource management of clustered multi-processor systems through formal property exploration
O Spantidi, I Anagnostopoulos, G Fainekos
2021 Design, Automation & Test in Europe Conference & Exhibition (DATE …, 2021
32021
The Perfect Match: Selecting Approximate Multipliers for Energy-Efficient Neural Network Inference
O Spantidi, I Anagnostopoulos
2023 IEEE 24th International Conference on High Performance Switching and …, 2023
22023
Enhancing historical extended reality experiences: Prompt engineering strategies for AI-generated dialogue
LR Kouzelis, O Spantidi
Applied Sciences 14 (15), 6405, 2024
12024
Leveraging Highly Approximated Multipliers in DNN Inference
G Zervakis, F Frustaci, O Spantidi, I Anagnostopoulos, H Amrouch, ...
arXiv preprint arXiv:2412.16757, 2024
2024
Toward Dynamic NPC Interactions: Integrating GPT-Driven Agents in 3D Virtual Environments
J Stojanov, LR Kouzelis, O Spantidi
International Symposium on Visual Computing, 199-211, 2024
2024
Resource-Aware Optimization Techniques for Machine Learning Inference on Heterogeneous Embedded Systems
O Spantidi
Southern Illinois University at Carbondale, 2023
2023
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Articles 1–20