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

September 26, 2024

A Survey on Neural Architecture Search Based on Reinforcement Learning
Wenzhu Shao
Reinforcement Learning Deep Learning Timely Survey Neural Architecture Search Hyperparameter Optimization Deep Learning Architecture Optimal Hyperparameters
Predicting Anchored Text from Translation Memories for Machine Translation Using Deep Learning Methods
Richard Yue, John E. Ortega
Deep Learning Machine Translation Neural Machine Translation Translation Memory
Intelligent Energy Management: Remaining Useful Life Prediction and Charging Automation System Comprised of Deep Learning and the Internet of Things
Biplov Paneru, Bishwash Paneru, DP Sharma Mainali
Deep Learning Machine Learning Good Thing IOT Technology Energy Management Useful Life IoT System Battery Datasets
DREAMS: A python framework to train deep learning models with model card reporting for medical and health applications
Rabindra Khadka, Pedro G Lind, Anis Yazidi, Asma Belhadi
Deep Learning Deep Learning Model Brain Electroencephalography EEG Data Healthcare Application Software Framework Drilling Robot Model Card
Predicting the Stay Length of Patients in Hospitals using Convolutional Gated Recurrent Deep Learning Model
Mehdi Neshat, Michael Phipps, Chris A. Browne, Nicole T. Vargas, Seyedali Mirjalili
Deep Learning Patient Friendly Language Healthcare Facility Long Duration Hospital Length

September 25, 2024

An Integrated Deep Learning Framework for Effective Brain Tumor Localization, Segmentation, and Classification from Magnetic Resonance Images
Pandiyaraju V, Shravan Venkatraman, Abeshek A, Aravintakshan S A, Pavan Kumar S, Madhan S
Deep Learning Classification Code Segmentation Based Approach Tumor Segmentation Magnetic Resonance Image Medical Artificial Intelligence Glioblastoma Multiforme
Classification of Gleason Grading in Prostate Cancer Histopathology Images Using Deep Learning Techniques: YOLO, Vision Transformers, and Vision Mamba
Amin Malekmohammadi, Ali Badiezadeh, Seyed Mostafa Mirhassani, Parisa Gifani, Majid Vafaeezadeh
Deep Learning Vision Transformer Classification Code Gleason Grade
Deep Learning and Machine Learning, Advancing Big Data Analytics and Management: Handy Appetizer
Benji Peng, Xuanhe Pan, Yizhu Wen, Ziqian Bi, Keyu Chen, Ming Li, Ming Liu, Qian Niu, Junyu Liu, Jinlang Wang, Sen Zhang, Jiawei Xu, Pohsun Feng
Deep Learning Machine Learning Big Data
Efficient Feature Interactions with Transformers: Improving User Spending Propensity Predictions in Gaming
Ved Prakash, Kartavya Kothari
Deep Learning Transformer Megatron Decepticons Video Game Feature Interaction Consumption Data Rich Interaction Fantasy Football
Informed deep hierarchical classification: a non-standard analysis inspired approach
Lorenzo Fiaschi, Marco Cococcioni
Deep Learning Constructive Approach Hybrid Deep Learning Comprehensive Analysis Hierarchical Classification
A parametric framework for kernel-based dynamic mode decomposition using deep learning
Konstantinos Kevopoulos, Dongwei Ye
Deep Learning High Dimensional Dynamic Mode Decomposition Parametric Model Surrogate Modelling
Let There Be Light: Robust Lensless Imaging Under External Illumination With Deep Learning
Eric Bezzam, Stefan Peters, Martin Vetterli
Deep Learning Light Work Natural Illumination Image Recovery Lensless Imaging Lensless Camera
The Effect of Lossy Compression on 3D Medical Images Segmentation with Deep Learning
Anvar Kurmukov, Bogdan Zavolovich, Aleksandra Dalechina, Vladislav Proskurov, Boris Shirokikh
Deep Learning Deep Neural Network Mixed Effect Image Compression 3D Medical Image Segmentation Deep Learning Application Lossy Compression Segmentation Quality
Ascend HiFloat8 Format for Deep Learning
Yuanyong Luo, Zhongxing Zhang, Richard Wu, Hu Liu, Ying Jin, Kai Zheng, Minmin Wang, Zhanying He, Guipeng Hu, Luyao Chen, Tianchi Hu, Junsong Wang, Minqi Chen, Mikhaylov Dmitry, Korviakov Vladimir, Bobrin Maxim, Yuhao Hu, Guanfu Chen, Zeyi Huang
Deep Learning Data Encoding Novel Encoding FP8 Format Floating Point Format

September 24, 2024

Proactive Schemes: A Survey of Adversarial Attacks for Social Good
Vishal Asnani, Xi Yin, Xiaoming Liu
Deep Learning Timely Survey Adversarial Attack Deep Learning Model Deep Learning Technology ProActive Behavior
Deep Learning for Precision Agriculture: Post-Spraying Evaluation and Deposition Estimation
Harry Rogers, Tahmina Zebin, Grzegorz Cielniak, Beatriz De La Iglesia, Ben Magri
Deep Learning Precision Agriculture Post Hoc Spatial Pattern Disaster Imagery Coating Chamber
Segmentation Strategies in Deep Learning for Prostate Cancer Diagnosis: A Comparative Study of Mamba, SAM, and YOLO
Ali Badiezadeh, Amin Malekmohammadi, Seyed Mostafa Mirhassani, Parisa Gifani, Majid Vafaeezadeh
Deep Learning Medical Image Analysis Prostate Cancer Accurate Segmentation Segmentation Method YOLO Shake Hand Elev Vision Sam Mamba UNet
Generative 3D Cardiac Shape Modelling for In-Silico Trials
Andrei Gasparovici, Alex Serban
Deep Learning Neural Field Motion Tracking Human Mesh Silico Study
LTNtorch: PyTorch Implementation of Logic Tensor Networks
Tommaso Carraro, Luciano Serafini, Fabio Aiolli
Deep Learning Neuro Symbolic Practical Implementation Fuzzy Logic Learning Framework Logic Tensor Network
Deep Learning Techniques for Automatic Lateral X-ray Cephalometric Landmark Detection: Is the Problem Solved?
Hongyuan Zhang, Ching-Wei Wang, Hikam Muzakky, Juan Dai, Xuguang Li, Chenglong Ma, Qian Wu, Xianan Cui, Kunlun Xu, Pengfei He, Dongqian Guo, Xianlong Wang, Hyunseok Lee, Zhangnan Zhong, Zhu Zhu, Bingsheng Huang
Deep Learning Right Problem Cephalometric Landmark Cephalometric Analysis

Deep Learning

Papers

A Survey on Neural Architecture Search Based on Reinforcement Learning

Predicting Anchored Text from Translation Memories for Machine Translation Using Deep Learning Methods

Intelligent Energy Management: Remaining Useful Life Prediction and Charging Automation System Comprised of Deep Learning and the Internet of Things

DREAMS: A python framework to train deep learning models with model card reporting for medical and health applications

Predicting the Stay Length of Patients in Hospitals using Convolutional Gated Recurrent Deep Learning Model

An Integrated Deep Learning Framework for Effective Brain Tumor Localization, Segmentation, and Classification from Magnetic Resonance Images

Classification of Gleason Grading in Prostate Cancer Histopathology Images Using Deep Learning Techniques: YOLO, Vision Transformers, and Vision Mamba

Deep Learning and Machine Learning, Advancing Big Data Analytics and Management: Handy Appetizer

Efficient Feature Interactions with Transformers: Improving User Spending Propensity Predictions in Gaming

Informed deep hierarchical classification: a non-standard analysis inspired approach

A parametric framework for kernel-based dynamic mode decomposition using deep learning

Let There Be Light: Robust Lensless Imaging Under External Illumination With Deep Learning

The Effect of Lossy Compression on 3D Medical Images Segmentation with Deep Learning

Ascend HiFloat8 Format for Deep Learning

Proactive Schemes: A Survey of Adversarial Attacks for Social Good

Deep Learning for Precision Agriculture: Post-Spraying Evaluation and Deposition Estimation

Segmentation Strategies in Deep Learning for Prostate Cancer Diagnosis: A Comparative Study of Mamba, SAM, and YOLO

Generative 3D Cardiac Shape Modelling for In-Silico Trials

LTNtorch: PyTorch Implementation of Logic Tensor Networks

Deep Learning Techniques for Automatic Lateral X-ray Cephalometric Landmark Detection: Is the Problem Solved?