output
20172024
most citedDual-stage optimizer for systematic overestimation adjustment applied to multi-objective genetic algorithms for biomarker selection

7 citations

5 papers

cs.CL2024

CovidLLM: A Robust Large Language Model with Missing Value Adaptation and Multi-Objective Learning Strategy for Predicting Disease Severity and Clinical Outcomes in COVID-19 Patients

Shengjun Zhu, Siyu Liu, Yang Li +9

Coronavirus Disease 2019 (COVID-19), which emerged in 2019, has caused millions of deaths worldwide. Although effective vaccines have been developed to mitigate severe symptoms, ce…

q-bio.QM2023★ 7 cited

Dual-stage optimizer for systematic overestimation adjustment applied to multi-objective genetic algorithms for biomarker selection

Luca Cattelani, Vittorio Fortino

The challenge in biomarker discovery using machine learning from omics data lies in the abundance of molecular features but scarcity of samples. Most feature selection methods in m…

cs.CV2018★ 2 cited

Deep Imbalanced Attribute Classification using Visual Attention Aggregation

Nikolaos Sarafianos, Xiang Xu, Ioannis A. Kakadiaris

For many computer vision applications, such as image description and human identification, recognizing the visual attributes of humans is an essential yet challenging problem. Its…

cs.CV2018★ 2 cited

Fully Associative Patch-based 1-to-N Matcher for Face Recognition

Lingfeng Zhang, Ioannis A. Kakadiaris

This paper focuses on improving face recognition performance by a patch-based 1-to-N signature matcher that learns correlations between different facial patches. A Fully Associativ…

cs.CV2017

Adaptive SVM+: Learning with Privileged Information for Domain Adaptation

Nikolaos Sarafianos, Michalis Vrigkas, Ioannis A. Kakadiaris

Incorporating additional knowledge in the learning process can be beneficial for several computer vision and machine learning tasks. Whether privileged information originates from…