A comprehensive evaluation benchmarks Large Language Models with traditional machine learning algorithms for automatic news classification is done on three standard news classification datasets: BBC News, 20 Newsgroups, and AG News. We implement traditional mo…
Clinical coding, the act of translating clinical transcripts into standardised diagnostic and procedural codes, is an essential statistics and billing tool in hospitals around the world. Despite it carrying a lot of weight in the capitalist healthcare system f…
Actualmente, las aplicaciones de visión por computadora, que incluyen la conducción autónoma, la detección de fallas, la imagenología médica y la teledetección, son cada vez más frecuentes y necesitan mecanismos de segmentación o clasificación de píxeles más p…
Road accidents remain a major global concern, with driver drowsiness and delayed reaction times recognized as key contributing factors. This thesis advances driver-monitoring research by developing multimodal approaches that integrate electroencephalography (E…
Multimodal artificial intelligence (AI) is a cutting-edge technique that integrates diverse modalities, such as imaging and textual data, to enhance classification and regression tasks. This dissertation focuses on the integration, comparison, and evaluation o…
Medical reports are essential for conveying conclusions and diagnoses from medical scans, such as X-ray scans, in order to proceed with the patient’s treatment. Especially lung X-rays, which are used in diagnosing and treating diseases such as pneumonia, pulmo…
Generative Artificial Intelligence (Gen-AI) is a rapidly evolving field focused on developing models that can generate realistic and novel content, from text to images. Recent advancements such as ChatGPT and DALL-E have revolutionized domains like Natural Lan…
Η Επεξεργασία Φυσικής Γλώσσας (NLP) για επιχειρηματικά και χρηματοοικονομικά κείμενα (Hahn et al., 2018; Chen et al., 2022) αποτελεί ένα ταχέως αναπτυσσόμενο ερευνητικό πεδίο που εφαρμόζει υπολογιστικές τεχνικές σε κείμενα όπως εταιρικά έγγραφα, αναφορές αναλυ…
Transformers and Large Language Models have achieved incredible performance in deep learning, especially in natural language processing, and a precise understanding of the internal mechanisms driving their success is essential. We first provide an empirical an…
The unpredictability and inherent complexities of financial markets pose persistent challenges in accurately forecasting stock prices. Recent innovations in deep learning methodologies, specifically the integration of technical analysis with linguistic process…
Inventory management and operation planning in retail sector involve accurate demand forecasting as a key element of the process. Linear models and tree-based models are typical examples of traditional forecasting models that may not work well in capturing com…
Readability assessment is a crucial task in natural language processing (NLP), with wide reaching implications in education, accessibility, and language learning. While prior research has primarily focused on predicting readability levels, this work shifts the…
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قد يخطئ المساعد أحياناً، فراجع المصادر المرفقة.
