Deep Learning

Deep learning, a subfield of machine learning, focuses on training artificial neural networks with multiple layers to extract complex patterns from data. Current research emphasizes improving model robustness against noisy or adversarial inputs, exploring efficient architectures like Vision Transformers and convolutional LSTMs for various tasks (e.g., image classification, time series forecasting), and integrating physics-informed approaches for enhanced interpretability and reliability. These advancements are significantly impacting diverse fields, from automated industrial inspection and medical image analysis to improved weather forecasting and more efficient content moderation systems.

Papers

December 20, 2024

SeagrassFinder: Deep Learning for Eelgrass Detection and Coverage Estimation in the Wild
Jannik Elsäßer, Laura Weihl, Veronika Cheplygina, Lisbeth Tangaa Nielsen
Deep Learning Estimation Task Higher Coverage Rate
Fair Distributed Machine Learning with Imbalanced Data as a Stackelberg Evolutionary Game
Sebastian Niehaus, Ingo Roeder, Nico Scherf
Deep Learning Machine Learning Imbalanced Data Data Imbalance Evolutionary Game Dynamic Weight
Mamba-based Deep Learning Approaches for Sleep Staging on a Wireless Multimodal Wearable System without Electroencephalography
Andrew H. Zhang, Alex He-Mo, Richard Fei Yin, Chunlin Li, Yuzhi Tang, Dharmendra Gurve, Nasim Montazeri Ghahjaverestan, Maged Goubran, Bo Wang, Andrew S. P. Lim
Deep Learning Brain Electroencephalography Wearable Sensor Data Sleep Staging Wireless System Mamba Based Model Wearable System
Music Genre Classification: Ensemble Learning with Subcomponents-level Attention
Yichen Liu, Abhijit Dasgupta, Qiwei He
Deep Learning Human Attention Ensemble Learning Music Information Retrieval Music Classification
RESQUE: Quantifying Estimator to Task and Distribution Shift for Sustainable Model Reusability
Vishwesh Sangarya, Jung-Eun Kim
Deep Learning Distribution Shift Related Task Linear Estimator Reusable Data Exhaust Model Reuse Representation Shift

December 19, 2024

Exploring Machine Learning Engineering for Object Detection and Tracking by Unmanned Aerial Vehicle (UAV)
Aneesha Guna, Parth Ganeriwala, Siddhartha Bhattacharyya
Deep Learning Unmanned Aerial Vehicle Autonomous System Web Tracking Perception System
Corn Ear Detection and Orientation Estimation Using Deep Learning
Nathan Sprague, John Evans, Michael Mardikes
Deep Learning Orientation Estimation Growth Monitoring Maize Plant Ear Recognition
Answer Set Networks: Casting Answer Set Programming into Deep Learning
Arseny Skryagin, Daniel Ochs, Phillip Deibert, Simon Kohaut, Devendra Singh Dhami, Kristian Kersting
Deep Learning Graph Neural Network Answer Set Programming
Deep Learning Based Recalibration of SDSS and DESI BAO Alleviates Hubble and Clustering Tensions
Rahul Shah, Purba Mukherjee, Soumadeep Saha, Utpal Garain, Supratik Pal
Deep Learning Conflict Classification Self Recalibration

December 18, 2024

TopView: Vectorising road users in a bird's eye view from uncalibrated street-level imagery with deep learning
Mohamed R Ibrahim
Deep Learning Computer Vision Best View Street Level City Typology Vanishing Point
SAFERec: Self-Attention and Frequency Enriched Model for Next Basket Recommendation
Oleg Lashinin, Denis Krasilnikov, Aleksandr Milogradskii, Marina Ananyeva
Deep Learning Self Attention Effective Recommendation Next Item Item Relevance Basket Recommendation
RadField3D: A Data Generator and Data Format for Deep Learning in Radiation-Protection Dosimetry for Medical Applications
Felix Lehner, Pasquale Lombardo, Susana Castillo, Oliver Hupe, Marcus Magnor
Deep Learning Data Generation Medical Application Radiation Source Geant4 Simulation Radiation Mapping
Federated Unlearning Model Recovery in Data with Skewed Label Distributions
Xinrui Yu, Wenbin Pei, Bing Xue, Qiang Zhang
Deep Learning Raw Data Class Imbalance Harmful Unlearning Label Distribution Federated Unlearning Unlearning Model

December 17, 2024

Wind Speed Forecasting Based on Data Decomposition and Deep Learning Models: A Case Study of a Wind Farm in Saudi Arabia
Yasmeen Aldossary, Nabil Hewahi, Abdulla Alasaadi
Deep Learning Wind Turbine Wind Speed Traffic Speed Wind Data Wavelet Decomposition Wind Farm
Deep Learning for Resilient Adversarial Decision Fusion in Byzantine Networks
Kassem Kallas
Deep Learning Network Programming Byzantine Seal Decision Level Fusion Robust Decision Byzantine Fault
Exploring AI-Enabled Cybersecurity Frameworks: Deep-Learning Techniques, GPU Support, and Future Enhancements
Tobias Becher, Simon Torka
Deep Learning Single GPU Barzilai Borwein Technique Feature Enhancement Cyber Defense
License Plate Detection and Character Recognition Using Deep Learning and Font Evaluation
Zahra Ebrahimi Vargoorani, Ching Yee Suen
Neural Network Deep Learning Character Recognition License Plate Faster R CNN Text Evaluation
Numerical Pruning for Efficient Autoregressive Models
Xuan Shen, Zhao Song, Yufa Zhou, Bo Chen, Jing Liu, Ruiyi Zhang, Ryan A. Rossi, Hao Tan, Tong Yu, Xiang Chen, Yufan Zhou, Tong Sun, Pu Zhao, Yanzhi Wang, Jiuxiang Gu
Deep Learning Efficient Model Pruned Model Free Pruning

December 16, 2024

Deep-learning-based identification of individual motion characteristics from upper-limb trajectories towards disorder stage evaluation
Tim Sziburis, Susanne Blex, Tobias Glasmachers, Ioannis Iossifidis
Deep Learning Motion Pattern Physical Rehabilitation Upper Limb Multiple Stage
Deep Learning for Hydroelectric Optimization: Generating Long-Term River Discharge Scenarios with Ensemble Forecasts from Global Circulation Models
Julio Alberto Silva Dias
Deep Learning Ensemble Forecast Climate Pattern Hydropower Plant General Circulation Model

Deep Learning

Papers

SeagrassFinder: Deep Learning for Eelgrass Detection and Coverage Estimation in the Wild

Fair Distributed Machine Learning with Imbalanced Data as a Stackelberg Evolutionary Game

Mamba-based Deep Learning Approaches for Sleep Staging on a Wireless Multimodal Wearable System without Electroencephalography

Music Genre Classification: Ensemble Learning with Subcomponents-level Attention

RESQUE: Quantifying Estimator to Task and Distribution Shift for Sustainable Model Reusability

Exploring Machine Learning Engineering for Object Detection and Tracking by Unmanned Aerial Vehicle (UAV)

Corn Ear Detection and Orientation Estimation Using Deep Learning

Answer Set Networks: Casting Answer Set Programming into Deep Learning

Deep Learning Based Recalibration of SDSS and DESI BAO Alleviates Hubble and Clustering Tensions

TopView: Vectorising road users in a bird's eye view from uncalibrated street-level imagery with deep learning

SAFERec: Self-Attention and Frequency Enriched Model for Next Basket Recommendation

RadField3D: A Data Generator and Data Format for Deep Learning in Radiation-Protection Dosimetry for Medical Applications

Federated Unlearning Model Recovery in Data with Skewed Label Distributions

Wind Speed Forecasting Based on Data Decomposition and Deep Learning Models: A Case Study of a Wind Farm in Saudi Arabia

Deep Learning for Resilient Adversarial Decision Fusion in Byzantine Networks

Exploring AI-Enabled Cybersecurity Frameworks: Deep-Learning Techniques, GPU Support, and Future Enhancements

License Plate Detection and Character Recognition Using Deep Learning and Font Evaluation

Numerical Pruning for Efficient Autoregressive Models

Deep-learning-based identification of individual motion characteristics from upper-limb trajectories towards disorder stage evaluation

Deep Learning for Hydroelectric Optimization: Generating Long-Term River Discharge Scenarios with Ensemble Forecasts from Global Circulation Models