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 16, 2024

TPFL: Tsetlin-Personalized Federated Learning with Confidence-Based Clustering
Rasoul Jafari Gohari, Laya Aliahmadipour, Ezat Valipour
Deep Learning Machine Learning Personalized Federated Learning Personalization Method
Research and Design of a Financial Intelligent Risk Control Platform Based on Big Data Analysis and Deep Machine Learning
Shuochen Bi, Yufan Lian, Ziyue Wang
Deep Learning Product Design DH Research Big Data Financial Reinforcement Learning Financial Dataset Risk Detection

September 15, 2024

Recent advances in deep learning and language models for studying the microbiome
Binghao Yan, Yunbi Nam, Lingyao Li, Rebecca A. Deek, Hongzhe Li, Siyuan Ma
Language Model Deep Learning Recent Advance Microbiome Datasets Microbiome Research
Enhancing Lesion Segmentation in PET/CT Imaging with Deep Learning and Advanced Data Preprocessing Techniques
Jiayi Liu, Qiaoyi Xue, Youdan Feng, Tianming Xu, Kaixin Shen, Chuyun Shen, Yuhang Shi
Deep Learning Computed Tomography Whole Body Data Preprocessing Preprocessing Method PET Dog Augmentation Pipeline

September 14, 2024

Deep Learning Under Siege: Identifying Security Vulnerabilities and Risk Mitigation Strategies
Jamal Al-Karaki, Muhammad Al-Zafar Khan, Mostafa Mohamad, Dababrata Chowdhury
Deep Learning Artificial Intelligence Security Vulnerability Deep Learning Technology Military Application Security Challenge
A Dynamic Weighting Strategy to Mitigate Worker Node Failure in Distributed Deep Learning
Yuesheng Xu, Arielle Carr
Deep Learning Stochastic Gradient Descent Convergence Rate Distributed Learning Straggler Mitigation Critical Node Weighting Strategy Dynamic Weighting

September 13, 2024

Are Sparse Neural Networks Better Hard Sample Learners?
Qiao Xiao, Boqian Wu, Lu Yin, Christopher Neil Gadzinski, Tianjin Huang, Mykola Pechenizkiy, Decebal Constantin Mocanu
Deep Learning Deep Neural Network Sparse Neural Network Dense Model
PINNfluence: Influence Functions for Physics-Informed Neural Networks
Jonas R. Naujoks, Aleksander Krasowski, Moritz Weckbecker, Thomas Wiegand, Sebastian Lapuschkin, Wojciech Samek, René P. Klausen
Deep Learning Physic Informed Neural Network Partial Differential Equation Influence Function Reg PINNs Fluid Flow
Trimming the Risk: Towards Reliable Continuous Training for Deep Learning Inspection Systems
Altaf Allah Abbassi, Houssem Ben Braiek, Foutse Khomh, Thomas Reid
Deep Learning High Quality Risk Description Variational Auto Visual Inspection Rule Based Continual Training Quality Inspection Vision Based Industrial Inspection
Recent Trends in Modelling the Continuous Time Series using Deep Learning: A Survey
Mansura Habiba, Barak A. Pearlmutter, Mehrdad Maleki
Deep Learning Timely Survey Time Series Recent Trend Continuous Variable
Task-Specific Data Preparation for Deep Learning to Reconstruct Structures of Interest from Severely Truncated CBCT Data
Yixing Huang, Fuxin Fan, Ahmed Gomaa, Andreas Maier, Rainer Fietkau, Christoph Bert, Florian Putz
Deep Learning Cone Beam Computed Tomography Simple Structure Cone Beam Computed Tomography Data Data Preparation

September 12, 2024

COMEX Copper Futures Volatility Forecasting: Econometric Models and Deep Learning
Zian Wang, Xinyi Lu
Deep Learning Volatility Forecasting GARCH Model Stochastic Volatility Econometric Model
Digital Volumetric Biopsy Cores Improve Gleason Grading of Prostate Cancer Using Deep Learning
Ekaterina Redekop, Mara Pleasure, Zichen Wang, Anthony Sisk, Yang Zong, Kimberly Flores, William Speier, Corey W. Arnold
Deep Learning Deep Feature Prostate Cancer Pathology Image Biopsy Core Gleason Grade
Deep Multimodal Learning with Missing Modality: A Survey
Renjie Wu, Hu Wang, Hsiang-Ting Chen, Gustavo Carneiro
Deep Learning Comprehensive Survey Multimodal Learning Missing Modality Multimodal Deep Learning

September 11, 2024

Deep Learning of Dynamic Systems using System Identification Toolbox(TM)
Tianyu Dai, Khaled Aljanaideh, Rong Chen, Rajiv Singh, Alec Stothert, Lennart Ljung
Deep Learning Nonlinear Model Reduced Order System Identification Dynamic Modeling Neural State Space Model
Deep Learning for predicting rate-induced tipping
Yu Huang, Sebastian Bathiany, Peter Ashwin, Niklas Boers
Deep Learning Tipping Point Dynamic Shift
KKT-Informed Neural Network
Carmine Delle Femine
Deep Learning Optimization Problem Convex Optimization Optimality Criterion Neural Network Based
PaveSAM Segment Anything for Pavement Distress
Neema Jakisa Owor, Yaw Adu-Gyamfi, Armstrong Aboah, Mark Amo-Boateng
Deep Learning Pavement Distress Pavement Damage Detection
TLD-READY: Traffic Light Detection -- Relevance Estimation and Deployment Analysis
Nikolai Polley, Svetlana Pavlitska, Yacin Boualili, Patrick Rohrbeck, Paul Stiller, Ashok Kumar Bangaru, J. Marius Zöllner
Deep Learning Autonomous Vehicle Open Domain Software Deployment Relevance Modeling Traffic Light Detection
Deep Learning Techniques for Hand Vein Biometrics: A Comprehensive Review
Mustapha Hemis, Hamza Kheddar, Sami Bourouis, Nasir Saleem
Deep Learning Comprehensive Review Biometric Identification Palm Vein

Deep Learning

Papers

TPFL: Tsetlin-Personalized Federated Learning with Confidence-Based Clustering

Research and Design of a Financial Intelligent Risk Control Platform Based on Big Data Analysis and Deep Machine Learning

Recent advances in deep learning and language models for studying the microbiome

Enhancing Lesion Segmentation in PET/CT Imaging with Deep Learning and Advanced Data Preprocessing Techniques

Deep Learning Under Siege: Identifying Security Vulnerabilities and Risk Mitigation Strategies

A Dynamic Weighting Strategy to Mitigate Worker Node Failure in Distributed Deep Learning

Are Sparse Neural Networks Better Hard Sample Learners?

PINNfluence: Influence Functions for Physics-Informed Neural Networks

Trimming the Risk: Towards Reliable Continuous Training for Deep Learning Inspection Systems

Recent Trends in Modelling the Continuous Time Series using Deep Learning: A Survey

Task-Specific Data Preparation for Deep Learning to Reconstruct Structures of Interest from Severely Truncated CBCT Data

COMEX Copper Futures Volatility Forecasting: Econometric Models and Deep Learning

Digital Volumetric Biopsy Cores Improve Gleason Grading of Prostate Cancer Using Deep Learning

Deep Multimodal Learning with Missing Modality: A Survey

Deep Learning of Dynamic Systems using System Identification Toolbox(TM)

Deep Learning for predicting rate-induced tipping

KKT-Informed Neural Network

PaveSAM Segment Anything for Pavement Distress

TLD-READY: Traffic Light Detection -- Relevance Estimation and Deployment Analysis

Deep Learning Techniques for Hand Vein Biometrics: A Comprehensive Review