Not stated in source
2026 Needs review
Available
- Author
- Rasyad Bimasatya
- University
- Not available
- Country
- Indonesia
- Main specialisation
- Deep Learning & Neural Networks › Transformers
Latar belakang. Pesatnya pertumbuhan e-commerce di Indonesia meningkatkan volume ulasan produk emosional yang sulit dianalisis secara manual. Meskipun model BERT hasil fine-tuning terbukti efektif, pendekatannya memerlukan banyak data berlabel dan sumber daya…
PhD
2026 Verified
- Author
- Quang Anh Nguyen
- University
- Not available
- Country
- France
- Main specialisation
- Natural Language Processing › Few-Shot / Zero-Shot Learning
Zero/Few-shot learning appliqué à la classification de textes Les institutions financières s'appuient de plus en plus sur des données textuelles non structurées, pour surveiller le risque de crédit. Leur volume et l'hétérogénéité rendent l'analyse manuelle com…
Not stated in source
2026 Needs review
- Author
- George Mihaila
- University
- Not available
- Country
- United States
- Main specialisation
- Deep Learning & Neural Networks › Transformers
Transformer-based models have revolutionized natural language processing while becoming increasingly opaque in their decision-making processes. As these systems deploy in high-stakes domains such as healthcare, legal decision-making, and content moderation, th…
Not stated in source
2026 Needs review
- Author
- Yunjiao Bai
- University
- Rutgers University
- Country
- United States
- Main specialisation
- Deep Learning & Neural Networks › Transformers
Most traditional classification methods process each data point in isolation, ignoring the structural information embedded in the relationships among data points. This dissertation develops the contrastive attention transformer, a novel classification architec…
Not stated in source
2026 Needs review
- Author
- Dean Kulik
- University
- Not available
- Country
- Not available
- Main specialisation
- Natural Language Processing › Large Language Models
Counter-Rotating Aperture Resolution: A Formal Stream-Processing Model for SHA-256 Recurrence, Root-Cover Coupling, and Transformer Language Attention Driven By Dean A. Kulik May 2026 Abstract This paper formalizes Counter-Rotating Aperture Resolution (CRAR):…
Not stated in source
2026 Needs review
- Author
- Sabrina M. Lopez
- University
- Not available
- Country
- United States
- Main specialisation
- Deep Learning & Neural Networks › Transformers
Artificial Neural Networks (ANNs) are among the leading computational frameworks for approximating human visual processing across a range of visual tasks. Despite this, a notable gap remains between human and ANN performance in tasks that require social percep…
Not stated in source
2026 Needs review
- Author
- Alice Neimantaite
- University
- Gothenburg University
- Country
- Sweden
- Main specialisation
- AI in Healthcare › Medical Image Analysis
Diffuse lower-grade gliomas (dLGG) are slowly growing primary brain tumors. Patients with dLGG represent a heterogeneous group with various symptoms, diverse progression of the disease as well as survival length. Collecting multidimensional patient data gives…
Not stated in source
2026 Needs review
- Author
- Md. Sohan Biswas
- University
- Not available
- Country
- Not available
- Main specialisation
- AI in Healthcare › Medical Image Analysis
The goal of this thesis is to solve the significant problem of inter-observer variability-induced diagnostic delays by presenting a sophisticated deep learning system for automated brain tumor diagnosis utilizing MRI imagery. Pituitary adenoma, extra-axial men…
Not stated in source
2026 Needs review
Available
- Author
- Hassan Khan
- University
- University of Eastern Finland
- Country
- Finland
- Main specialisation
- Deep Learning & Neural Networks › Transformers
Brain tumors are among the most serious categories of neurological disease, with accurate classification from magnetic resonance imaging (MRI) playing a critical role in treatment planning and patient outcomes.Manual interpretation of MRI scans by radiologists…
Not stated in source
2026 Needs review
Available
- Author
- Ozgur Guldogan
- University
- Not available
- Country
- United States
- Main specialisation
- Natural Language Processing › Large Language Models
Machine learning systems increasingly make decisions with long-term consequences for individuals and society. Designing trustworthy machine learning systems therefore requires going beyond static accuracy and one-shot fairness criteria. Decisions may alter fut…
Not stated in source
2026 Needs review
- Author
- Tim Wang
- University
- Not available
- Country
- United States
- Main specialisation
- Computer Vision › Face Recognition
Introduction Machine learning systems have increasingly taken control of making high-stake decisions about people’s lives. This can include who advances in a hiring pipeline, who is released before trial, or whose face a security camera flag. The reason behind…
Not stated in source
2026 Needs review
- Author
- Sathvik Murli
- University
- Rutgers University
- Country
- United States
- Main specialisation
- Deep Learning & Neural Networks › Convolutional Neural Networks
Spiking Neural Networks (SNNs) offer a biologically grounded alternative to conventional Artificial Neural Networks by replacing continuous activations with discrete, asynchronous spike events, while Graph Neural Networks (GNNs) provide a principled way to lea…
