CORTEXA
← Browse

Vincenzo Stoico

3 papers indexed

arxivcs.ARcs.LGcs.NEcs.PF2026-07-16

Toward Energy-Efficient and Low-Power Arrhythmia Detection for Wearable Devices

Floriaan Bulten, Yawar Rasheed, Arlene John, Vincenzo Stoico, Ghayoor Gillani

Cardiovascular diseases are the leading cause of death worldwide, and conditions such as arrhythmia often require long-term monitoring for effective detection and diagnosis. However, current wearable monitoring devices are bulky, uncomfortable, and typically rely on clinicians to…

View free PDFSource page
arxivcs.SEcs.AIcs.PF2026-07-10

Attention to Detail: Evaluating Energy, Performance, and Accuracy Trade-offs Across vLLM Configurations

Nada Zine, Tristan Coignion, Vincenzo Stoico, Clément Quinton, Ivano Malavolta, Romain Rouvoy, et al.

Large Language Models are reshaping how software is developed and maintained. They are typically deployed in production using inference engines such as vLLM, which can efficiently serve pre-trained, highly configurable models. While prior work has focused on model architectures a…

View free PDFSource page
arxivcs.SEcs.AIcs.LG2026-07-07

Static Metrics Are Insufficient: Predicting Java Method Energy Usage with Execution Time

Muhammad Imran, Vincenzo Stoico, Ivano Malavolta

The increasing energy demand of software systems is raising concerns about their environmental impact and associated costs. Reasoning on energy usage early in the development flow has the potential to significantly reduce the overall energy usage of a software system, as it allow…

View free PDFSource page