:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Regan, Kyle M., McLoughlin, Michael, Bryden, Wayne A., Arce, Gonzalo R.
Format:	Preprint
Published:	2025
Subjects:	Machine Learning I.2.6; I.5.4; J.3
Online Access:	https://arxiv.org/abs/2511.17446
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

HAELT: A Hybrid Attentive Ensemble Learning Transformer Framework for High-Frequency Stock Price Forecasting
by: Bui, Thanh Dan
Published: (2025)

KinetiDiff: Docking-Guided Diffusion for De Novo ACVR1 Inhibitor Design in Fibrodysplasia Ossificans Progressiva
by: Patel, Aaryan
Published: (2026)

Energy Injection Identification enabled Disaggregation with Deep Multi-Task Learning
by: Wang, Xudong, et al.
Published: (2025)

Deep Learning with Self-Attention and Enhanced Preprocessing for Precise Diagnosis of Acute Lymphoblastic Leukemia from Bone Marrow Smears in Hemato-Oncology
by: Maruf, Md., et al.
Published: (2025)

Closing the SNAP Gap: Identifying Under-Enrollment in High-Poverty ZIP Codes
by: Ray, Auyona
Published: (2025)

Learning Alternative Ways of Performing a Task
by: Nieves, David, et al.
Published: (2024)

Inductive transfer learning from regression to classification in ECG analysis
by: Jayasundara, Ridma, et al.
Published: (2025)

In-situ Autoguidance: Eliciting Self-Correction in Diffusion Models
by: Gu, Enhao, et al.
Published: (2025)

EEG Sleep Stage Classification with Continuous Wavelet Transform and Deep Learning
by: Gashti, Mehdi Zekriyapanah, et al.
Published: (2025)

RG-TTA: Regime-Guided Meta-Control for Test-Time Adaptation in Streaming Time Series
by: Kumar, Indar, et al.
Published: (2026)

Sparse Concept Bottleneck Models: Gumbel Tricks in Contrastive Learning
by: Semenov, Andrei, et al.
Published: (2024)

Causal Portfolio Optimization: Principles and Sensitivity-Based Solutions
by: Dominguez, Alejandro Rodriguez
Published: (2025)

Causal PDE-Control Models for Dynamic Portfolio Optimization with Latent Drivers
by: Dominguez, Alejandro Rodriguez
Published: (2025)

Fine-tuning Pre-trained Audio Models for COVID-19 Detection: A Technical Report
by: de Brito, Daniel Oliveira, et al.
Published: (2025)

Classification of Cattle Behavior and Detection of Heat (Estrus) using Sensor Data
by: Dhakshinamoorthy, Druva, et al.
Published: (2025)

Product Design Using Generative Adversarial Network: Incorporating Consumer Preference and External Data
by: Li, Hui, et al.
Published: (2024)

Solar Forecasting with Causality: A Graph-Transformer Approach to Spatiotemporal Dependencies
by: Niu, Yanan, et al.
Published: (2025)

PRISMA: Preference-Reinforced Self-Training Approach for Interpretable Emotionally Intelligent Negotiation Dialogues
by: Kajare, Prajwal Vijay, et al.
Published: (2026)

propella-1: Multi-Property Document Annotation for LLM Data Curation at Scale
by: Idahl, Maximilian, et al.
Published: (2026)

Segmentation of Non-Small Cell Lung Carcinomas: Introducing DRU-Net and Multi-Lens Distortion
by: Oskouei, Soroush, et al.
Published: (2024)

Deep Learning-Based Early-Stage IR-Drop Estimation via CNN Surrogate Modeling
by: Bhadana, Ritesh
Published: (2026)

BenthiCat: An opti-acoustic dataset for advancing benthic classification and habitat mapping
by: Rajani, Hayat, et al.
Published: (2025)

Robust and Clinically Reliable EEG Biomarkers: A Cross Population Framework for Generalizable Parkinson's Disease Detection
by: Rasmussen, Nicholas R., et al.
Published: (2026)

AgenticPruner: MAC-Constrained Neural Network Compression via LLM-Driven Strategy Search
by: Esmat, Shahrzad, et al.
Published: (2026)

PI-TTA: Physics-Informed Source-Free Test-Time Adaptation for Robust Human Activity Recognition on Mobile Devices
by: Li, Changyu, et al.
Published: (2026)

Automated Multi-Class Crop Pathology Classification via Convolutional Neural Networks: A Deep Learning Approach for Real-Time Precision Agriculture
by: Suri, Sourish, et al.
Published: (2025)

Uncertainty-Aware Transfer Learning for Cross-Building Energy Forecasting: Toward Robust and Scalable District-Level Energy Management
by: Zaregarizi, Shadmehr, et al.
Published: (2026)

AI-Augmented Pollen Recognition in Optical and Holographic Microscopy for Veterinary Imaging
by: Warshaneyan, Swarn S., et al.
Published: (2025)

Automated Pollen Recognition in Optical and Holographic Microscopy Images
by: Warshaneyan, Swarn Singh, et al.
Published: (2025)

MoPFormer: Motion-Primitive Transformer for Wearable-Sensor Activity Recognition
by: Zhang, Hao, et al.
Published: (2025)

Kolmogorov-Arnold Attention: Is Learnable Attention Better For Vision Transformers?
by: Maity, Subhajit, et al.
Published: (2025)

Synthesizing EEG Signals from Event-Related Potential Paradigms with Conditional Diffusion Models
by: Klein, Guido, et al.
Published: (2024)

Maternal and Fetal Health Status Assessment by Using Machine Learning on Optical 3D Body Scans
by: Cheng, Ruting, et al.
Published: (2025)

Identifying Autism-Related Neurobiomarkers Using Hybrid Deep Learning Models
by: Chen, Ashley
Published: (2025)

Passive Underwater Acoustic Signal Separation based on Feature Decoupling Dual-path Network
by: Liu, Yucheng, et al.
Published: (2025)

Optimal Transport-Guided Source-Free Adaptation for Face Anti-Spoofing
by: Li, Zhuowei, et al.
Published: (2025)

Lessons Learned from Deploying Adaptive Machine Learning Agents with Limited Data for Real-time Cell Culture Process Monitoring
by: Khuat, Thanh Tung, et al.
Published: (2025)

Uncertainty Quantification Using Ensemble Learning and Monte Carlo Sampling for Performance Prediction and Monitoring in Cell Culture Processes
by: Khuat, Thanh Tung, et al.
Published: (2024)

Quantum-Enhanced Analysis and Grading of Vocal Performance
by: Agarwal, Rohan
Published: (2025)

Cytoarchitecture in Words: Weakly Supervised Vision-Language Modeling for Human Brain Microscopy
by: Sutton, Matthew, et al.
Published: (2026)