Search Results - "Marginean, Anca"

Predicting the Geoeffectiveness of CMEs Using Machine Learning by Pricopi, Andreea-Clara, Paraschiv, Alin Razvan, Besliu-Ionescu, Diana, Marginean, Anca-Nicoleta

“…Coronal mass ejections (CMEs) are the most geoeffective space weather phenomena, being associated with large geomagnetic storms, and having the potential to…”
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Diabetic Macular Edema Optical Coherence Tomography Biomarkers Detected with EfficientNetV2B1 and ConvNeXt by Suciu, Corina Iuliana, Marginean, Anca, Suciu, Vlad-Ioan, Muntean, George Adrian, Nicoară, Simona Delia

“…(1) Background: Diabetes mellitus (DM) is a growing challenge, both for patients and physicians, in order to control the impact on health and prevent…”
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The Predictive Capabilities of Artificial Intelligence-Based OCT Analysis for Age-Related Macular Degeneration Progression-A Systematic Review by Muntean, George Adrian, Marginean, Anca, Groza, Adrian, Damian, Ioana, Roman, Sara Alexia, Hapca, Mădălina Claudia, Muntean, Maximilian Vlad, Nicoară, Simona Delia

“…The era of artificial intelligence (AI) has revolutionized our daily lives and AI has become a powerful force that is gradually transforming the field of…”
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A Qualitative Evaluation of ChatGPT4 and PaLM2's Response to Patient's Questions Regarding Age-Related Macular Degeneration by Muntean, George Adrian, Marginean, Anca, Groza, Adrian, Damian, Ioana, Roman, Sara Alexia, Hapca, Mădălina Claudia, Sere, Anca Mădălina, Mănoiu, Roxana Mihaela, Muntean, Maximilian Vlad, Nicoară, Simona Delia

“…Patient compliance in chronic illnesses is essential for disease management. This also applies to age-related macular degeneration (AMD), a chronic acquired…”
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Reliable Learning with PDE-Based CNNs and DenseNets for Detecting COVID-19, Pneumonia, and Tuberculosis from Chest X-Ray Images by Marginean, Anca Nicoleta, Muntean, Delia Doris, Muntean, George Adrian, Priscu, Adelina, Groza, Adrian, Slavescu, Radu Razvan, Timbus, Calin Lucian, Munteanu, Gabriel Zeno, Morosanu, Cezar Octavian, Cosnarovici, Maria Margareta, Pintea, Camelia-M.

“…It has recently been shown that the interpretation by partial differential equations (PDEs) of a class of convolutional neural networks (CNNs) supports…”
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CoNtRol: an open source framework for the analysis of chemical reaction networks by Donnell, Pete, Banaji, Murad, Marginean, Anca, Pantea, Casian

“…We introduce CoNtRol, a web-based framework for analysis of chemical reaction networks (CRNs). It is designed to be both extensible and simple to use,…”
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A Machine Learning Enhanced Approach for Automated Sunquake Detection in Acoustic Emission Maps by Mercea, Vanessa, Paraschiv, Alin Razvan, Lacatus, Daniela Adriana, Marginean, Anca, Besliu-Ionescu, Diana

“…Sunquakes are seismic emissions visible on the solar surface, associated with some solar flares. Although discovered in 1998, they have only recently become a…”
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Artificial Intelligence for Personalised Ophthalmology Residency Training by Muntean, George Adrian, Groza, Adrian, Marginean, Anca, Slavescu, Radu Razvan, Steiu, Mihnea Gabriel, Muntean, Valentin, Nicoara, Simona Delia

“…Residency training in medicine lays the foundation for future medical doctors. In real-world settings, training centers face challenges in trying to create…”
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Brave new world: Artificial Intelligence in teaching and learning by Groza, Adrian, Marginean, Anca

“…We exemplify how Large Language Models are used in both teaching and learning. We also discuss the AI incidents that have already occurred in the education…”
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Understanding Cooking Recipes' Structure Using Grammars by Ilies, Andreea, Marginean, Anca Nicoleta

“…The main objective of this research is to understand the structure of cooking recipes using context free grammars, and to build corresponding parse trees for…”
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Blending rules and ontology in argumentation by Marginean, A.

“…It is good to know, but to know how to mix what you know is even better. We propose an argumentative manner for dealing with knowledge from different sources…”
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Predicting Structure & Clarity of software projects with Machine Learning by BOGDAN, Darius Mihnea, MARGINEAN, Anca

“…The software development domain is very dynamic and only around 28% of the projects that follow project management methodologies stay on schedule. This paper…”
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Medical Question Entailment based on Textual Inference and Fine-tuned BioMed-RoBERTa by Monea, Andreea Maria, Marginean, Anca Nicoleta

“…Information understanding and retrieval have al-ways been a challenge in natural language processing (NLP), especially in specific domains like the medical…”
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Low-dimensional Representation of OCT Volumes with Supervised Contrastive Learning by Marginean, Anca, Bianca, Vesa, Nicoara, Simona Delia, Muntean, George

“…Eye diseases can nowadays be investigated with non-invasive OCT (Optical Coherence Tomography) tests which result in cross-sectional pictures of the retina. We…”
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Ensemble of Artificial Neural Networks for Aspect Based Sentiment Analysis by Onaciu, Andreea, Nicoleta Marginean, Anca

“…Aspect Based Sentiment Analysis is a natural language processing task. The goal of this task is to extract sentiments expressed in online reviews about…”
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COVID-19 spread forecast using recurrent auto-encoders by Beche, Radu, Baila, Romina, Marginean, Anca

“…Since December 2019, the COVID-19 disease has become one of the most concerning issues across the Globe. The world has experienced serious prevention measures,…”
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Understanding pedestrian behaviour with pose estimation and recurrent networks by Marginean, Anca, Brehar, Raluca, Negru, Mihai

“…Early detection of pedestrians, quick understanding of their behavior and prediction of their intention are of extreme importance in the quest to the 5th level…”
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Exploring Early Estimation of Treatment Needs for Age-Related Macular Degeneration Patients Using Easily Generated Features by Marginean, Anca, Muntean, George Adrian, Bucur, Alexandra Ioana, Nicoara, Simona Delia

“…Age-Related Macular Degeneration (AMD), a leading cause of vision loss in older adults, poses a significant challenge in developing personalized treatment…”
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A Machine Learning Enhanced Approach for Automated Sunquake Detection in Acoustic Emission Maps by Mercea, Vanessa, Paraschiv, Alin Razvan, Lacatus, Daniela Adriana, Marginean, Anca, Besliu-Ionescu, Diana

“…Sunquakes are seismic emissions visible on the solar surface, associated with some solar flares. Although discovered in 1998, they have only recently become a…”
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Predicting the Geoeffectiveness of CMEs Using Machine Learning by Pricopi, Andreea-Clara, Paraschiv, Alin Razvan, Besliu-Ionescu, Diana, Marginean, Anca-Nicoleta

“…Coronal mass ejections (CMEs) are the most geoeffective space weather phenomena, being associated with large geomagnetic storms, having the potential to cause…”
Get full text