6 citations · 12 across the 6 of their papers we have counts for
7 papers
Enhancing Genetic Algorithms with Graph Neural Networks: A Timetabling Case Study
Laura-Maria Cornei, Mihaela-Elena Breabăn
This paper investigates the impact of hybridizing a multi-modal Genetic Algorithm with a Graph Neural Network for timetabling optimization. The Graph Neural Network is designed to…
Exploring the potential of prototype-based soft-labels data distillation for imbalanced data classification
Radu-Andrei Rosu, Mihaela-Elena Breaban, Henri Luchian
Dataset distillation aims at synthesizing a dataset by a small number of artificially generated data items, which, when used as training data, reproduce or approximate a machine le…
Analyzing domain shift when using additional data for the MICCAI KiTS23 Challenge
George Stoica, Mihaela Breaban, Vlad Barbu
Using additional training data is known to improve the results, especially for medical image 3D segmentation where there is a lack of training material and the model needs to gener…
COVID Detection in Chest CTs: Improving the Baseline on COV19-CT-DB
Radu Miron, Cosmin Moisii, Sergiu Dinu +1
The paper presents a comparative analysis of three distinct approaches based on deep learning for COVID-19 detection in chest CTs. The first approach is a volumetric one, involving…
Revealing Lung Affections from CTs. A Comparative Analysis of Various Deep Learning Approaches for Dealing with Volumetric Data
Radu Miron, Cosmin Moisii, Mihaela Breaban
The paper presents and comparatively analyses several deep learning approaches to automatically detect tuberculosis related lesions in lung CTs, in the context of the ImageClef 202…
SOM-Guided Evolutionary Search for Solving MinMax Multiple-TSP
Vlad-Ioan Lupoaie, Ivona-Alexandra Chili, Mihaela Elena Breaban +1
Multiple-TSP, also abbreviated in the literature as mTSP, is an extension of the Traveling Salesman Problem that lies at the core of many variants of the Vehicle Routing problem of…
Tackling Dynamic Vehicle Routing Problem with Time Windows by means of Ant Colony System
Raluca Necula, Mihaela Breaban, Madalina Raschip
The Dynamic Vehicle Routing Problem with Time Windows (DVRPTW) is an extension of the well-known Vehicle Routing Problem (VRP), which takes into account the dynamic nature of the p…