The effects of appearance and motion of virtual characters on emotional reactivity. - Christos Mousas; Dimitris Anastasiou; Ourania Spantidi (Comput. Hum. Behav., 2018)

TLTk: A Toolbox for Parallel Robustness Computation of Temporal Logic Specifications. - Joseph Cralley; Ourania Spantidi; Bardh Hoxha; Georgios Fainekos (RV, 2020)

Frequency-based Power Efficiency Improvement of CNNs on Heterogeneous IoT Computing Systems. - Ourania Spantidi; Ioannis Galanis; Iraklis Anagnostopoulos (WF-IoT, 2020)

Control Variate Approximation for DNN Accelerators. - Georgios Zervakis 001; Ourania Spantidi; Iraklis Anagnostopoulos; Hussam Amrouch; Jörg Henkel (DAC, 2021)

Reliability-Aware Quantization for Anti-Aging NPUs. - Sami Salamin; Georgios Zervakis 001; Ourania Spantidi; Iraklis Anagnostopoulos; Jörg Henkel; Hussam Amrouch (DATE, 2021)

Efficient Resource Management of Clustered Multi-Processor Systems Through Formal Property Exploration. - Ourania Spantidi; Iraklis Anagnostopoulos; Georgios Fainekos (DATE, 2021)

Positive/Negative Approximate Multipliers for DNN Accelerators. - Ourania Spantidi; Georgios Zervakis 001; Iraklis Anagnostopoulos; Hussam Amrouch; Jörg Henkel (ICCAD, 2021)

Online frequency-based performance and power estimation for clustered multi-processor systems. - Shivam Kundan; Ourania Spantidi; Iraklis Anagnostopoulos (Comput. Electr. Eng., 2021)

Fair Scheduling Through Collaborative Filtering on Multicore Systems. - Ourania Spantidi; Theodoros Marinakis; Iraklis Anagnostopoulos (ISCAS, 2022)

How much is too much error? Analyzing the impact of approximate multipliers on DNNs. - Ourania Spantidi; Iraklis Anagnostopoulos (ISQED, 2022)

Thermal-Aware Design for Approximate DNN Accelerators. - Georgios Zervakis 001; Iraklis Anagnostopoulos; Sami Salamin; Ourania Spantidi; Isai Roman-Ballesteros; Jörg Henkel; Hussam Amrouch (IEEE Trans. Computers, 2022)

Energy-Efficient DNN Inference on Approximate Accelerators Through Formal Property Exploration. - Ourania Spantidi; Georgios Zervakis 001; Iraklis Anagnostopoulos; Jörg Henkel (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2022)

Automated Energy-Efficient DNN Compression under Fine-Grain Accuracy Constraints. - Ourania Spantidi; Iraklis Anagnostopoulos (DATE, 2023)

The Perfect Match: Selecting Approximate Multipliers for Energy-Efficient Neural Network Inference. - Ourania Spantidi; Iraklis Anagnostopoulos (HPSR, 2023)

Synthesizing Play-Ready VR Scenes with Natural Language Prompts Through GPT API. - Lazaros Rafail Kouzelis; Ourania Spantidi (ISVC (2), 2023)

Targeting DNN Inference Via Efficient Utilization of Heterogeneous Precision DNN Accelerators. - Ourania Spantidi; Georgios Zervakis 001; Sami Alsalamin; Isai Roman-Ballesteros; Jörg Henkel; Hussam Amrouch; Iraklis Anagnostopoulos (IEEE Trans. Emerg. Top. Comput., 2023)

Toward Dynamic NPC Interactions: Integrating GPT-Driven Agents in 3D Virtual Environments. - Jorde Stojanov; Lazaros Rafail Kouzelis; Ourania Spantidi (ISVC (2), 2024)

Leveraging Image Difficulty for Run-Time Adaptive DNN Inference on Embedded Devices. - Vasileios Pentsos; Ourania Spantidi; Georgios Zervakis 001; Iraklis Anagnostopoulos (ISCAS, 2025)

Approximate Multiplier Mapping for Unfairness Mitigation in Energy-Efficient DNNs. - Ourania Spantidi; Georgios Zervakis 001; Jörg Henkel; Iraklis Anagnostopoulos (ISCAS, 2025)

Leveraging Highly Approximated Multipliers in DNN Inference. - Georgios Zervakis 001; Fabio Frustaci; Ourania Spantidi; Iraklis Anagnostopoulos; Hussam Amrouch; Jörg Henkel (IEEE Access, 2025)

Impact of GPT-Driven Teaching Assistants in VR Learning Environments. - Kaitlyn Tracy; Ourania Spantidi (IEEE Trans. Learn. Technol., 2025)