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

July 24, 2024

Preliminary study on artificial intelligence methods for cybersecurity threat detection in computer networks based on raw data packets
Aleksander Ogonowski, Michał Żebrowski, Arkadiusz Ćwiek, Tobiasz Jarosiewicz, Konrad Klimaszewski, Adam Padee, Piotr Wasiuk, Michał Wójcik
Deep Learning Deep Learning Algorithm Intrusion Detection Preliminary Study Threat Detection Computer Network Artificial Intelligence Method Real World Attack
Establishing Causal Relationship Between Whole Slide Image Predictions and Diagnostic Evidence Subregions in Deep Learning
Tianhang Nan, Yong Ding, Hao Quan, Deliang Li, Lisha Li, Guanghong Zhao, Xiaoyu Cui
Deep Learning Causal Inference Multiple Instance Learning Causal Relation Slide Level Image Prediction Decision Region
An Efficient and Flexible Deep Learning Method for Signal Delineation via Keypoints Estimation
Adrian Atienza, Jakob Bardram, Sadasivan Puthusserypady
Deep Learning High Efficiency Canine Electrocardiogram Keypoint Estimation Signal Identification Flexible Recurrent Network Electrocardiogram Delineation

July 23, 2024

Deep Learning for Pancreas Segmentation: a Systematic Review
Andrea Moglia, Matteo Cavicchioli, Luca Mainardi, Pietro Cerveri
Deep Learning Systematic Review Multi Organ Segmentation Fetal Liver Pancreas Segmentation
Deep Learning based Key Information Extraction from Business Documents: Systematic Literature Review
Alexander Rombach, Peter Fettke
Deep Learning Systematic Literature Review Human Machine Key Information Extraction
Estimating Environmental Cost Throughout Model's Adaptive Life Cycle
Vishwesh Sangarya, Richard Bradford, Jung-Eun Kim
Deep Learning Full Model Model Architecture Indexing Method Eco Toll
Research on Adverse Drug Reaction Prediction Model Combining Knowledge Graph Embedding and Deep Learning
Yufeng Li, Wenchao Zhao, Bo Dang, Xu Yan, Weimin Wang, Min Gao, Mingxuan Xiao
Deep Learning Knowledge Graph DH Research Drug Feature Adverse Drug Adverse Drug Reaction
Advancing Brain Imaging Analysis Step-by-step via Progressive Self-paced Learning
Yanwu Yang, Hairui Chen, Jiesi Hu, Xutao Guo, Ting Ma
Deep Learning Brain MRI Disease Neuroimaging Initiative Self Paced Learning Brain Image Analysis

July 22, 2024

AI for Handball: predicting and explaining the 2024 Olympic Games tournament with Deep Learning and Large Language Models
Florian Felice
Deep Learning Artificial Intelligence Deep Learning Model Handball Match
Model editing for distribution shifts in uranium oxide morphological analysis
Davis Brown, Cody Nizinski, Madelyn Shapiro, Corey Fallon, Tianzhixi Yin, Henry Kvinge, Jonathan H. Tu
Deep Learning Deep Learning Model Full Model Distribution Shift Morphological Analysis Nuclear Fuel
Beyond Size and Class Balance: Alpha as a New Dataset Quality Metric for Deep Learning
Josiah Couch, Rima Arnaout, Ramy Arnaout
Deep Learning Training Data Size Matter Alpha MEPOL Dataset Diversity Diversity Score Dataset Quality Class Balancing
Automated Road Safety: Enhancing Sign and Surface Damage Detection with AI
Davide Merolla, Vittorio Latorre, Antonio Salis, Gianluca Boanelli
Deep Learning Artificial Intelligence Road Network Cultural Sign Road Damage
Deep Learning for Economists
Melissa Dell
Deep Learning Deep Neural Network Deep Learning Model Image Corpus

July 20, 2024

MedMAE: A Self-Supervised Backbone for Medical Imaging Tasks
Anubhav Gupta, Islam Osman, Mohamed S. Shehata, John W. Braun
Deep Learning Self Supervised Pre Trained Model Medical Image Datasets Medical Imaging Task Imaging Task
Enhancing Wildfire Forecasting Through Multisource Spatio-Temporal Data, Deep Learning, Ensemble Models and Transfer Learning
Ayoub Jadouli, Chaker El Amrani
Deep Learning Transfer Learning Ensemble Model Temporal Data SpatioTemporal Data Wildfire Forecasting Wildfire Prediction Meteorological Satellite

July 19, 2024

Frontiers of Deep Learning: From Novel Application to Real-World Deployment
Rui Xie
Language Model Deep Learning Natural Language Processing Deep Learning Model Transformer Network New Frontier Real World Deployment Novel Application
Patch-based Intuitive Multimodal Prototypes Network (PIMPNet) for Alzheimer's Disease classification
Lisa Anita De Santi, Jörg Schlötterer, Meike Nauta, Vincenzo Positano, Christin Seifert
Deep Learning Alzheimer'S Disease Disease Classification Structural MRI Brain Structure Part Prototype Network
Advanced Predictive Modeling for Enhanced Mortality Prediction in ICU Stroke Patients Using Clinical Data
Armin Abdollahi, Negin Ashrafi, Maryam Pishgar
Deep Learning Stroke Detection Mortality Prediction Stroke Patient Intensive Care Unit Mortality
Revisiting the Disequilibrium Issues in Tackling Heart Disease Classification Tasks
Thao Hoang, Linh Nguyen, Khoi Do, Duong Nguyen, Viet Dung Nguyen
Deep Learning Data Imbalance Behavioral Signal Imbalanced Dataset Logarithmic Loss
Efficient and Safe Contact-rich pHRI via Subtask Detection and Motion Estimation using Deep Learning
Pouya P. Niaz, Engin Erzin, Cagatay Basdogan
Deep Learning High Efficiency Robot Person Motion Estimation Physical Human Robot Interaction Admittance Control Force Sensor Intention Recognition Contact Interaction

Deep Learning

Papers

Preliminary study on artificial intelligence methods for cybersecurity threat detection in computer networks based on raw data packets

Establishing Causal Relationship Between Whole Slide Image Predictions and Diagnostic Evidence Subregions in Deep Learning

An Efficient and Flexible Deep Learning Method for Signal Delineation via Keypoints Estimation

Deep Learning for Pancreas Segmentation: a Systematic Review

Deep Learning based Key Information Extraction from Business Documents: Systematic Literature Review

Estimating Environmental Cost Throughout Model's Adaptive Life Cycle

Research on Adverse Drug Reaction Prediction Model Combining Knowledge Graph Embedding and Deep Learning

Advancing Brain Imaging Analysis Step-by-step via Progressive Self-paced Learning

AI for Handball: predicting and explaining the 2024 Olympic Games tournament with Deep Learning and Large Language Models

Model editing for distribution shifts in uranium oxide morphological analysis

Beyond Size and Class Balance: Alpha as a New Dataset Quality Metric for Deep Learning

Automated Road Safety: Enhancing Sign and Surface Damage Detection with AI

Deep Learning for Economists

MedMAE: A Self-Supervised Backbone for Medical Imaging Tasks

Enhancing Wildfire Forecasting Through Multisource Spatio-Temporal Data, Deep Learning, Ensemble Models and Transfer Learning

Frontiers of Deep Learning: From Novel Application to Real-World Deployment

Patch-based Intuitive Multimodal Prototypes Network (PIMPNet) for Alzheimer's Disease classification

Advanced Predictive Modeling for Enhanced Mortality Prediction in ICU Stroke Patients Using Clinical Data

Revisiting the Disequilibrium Issues in Tackling Heart Disease Classification Tasks

Efficient and Safe Contact-rich pHRI via Subtask Detection and Motion Estimation using Deep Learning