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

March 15, 2024

Deep Learning for Multi-Level Detection and Localization of Myocardial Scars Based on Regional Strain Validated on Virtual Patients
Müjde Akdeniz, Claudia Alessandra Manetti, Tijmen Koopsen, Hani Nozari Mirar, Sten Roar Snare, Svein Arne Aase, Joost Lumens, Jurica Šprem, Kristin Sarah McLeod
Deep Learning Virtual Doctor Atrial Scar Myocardial Strain
CoReEcho: Continuous Representation Learning for 2D+time Echocardiography Analysis
Fadillah Adamsyah Maani, Numan Saeed, Aleksandr Matsun, Mohammad Yaqub
Deep Learning Echocardiography Dataset Continuous Image Representation Echocardiogram Video Dimensional Echocardiography
Cardiac valve event timing in echocardiography using deep learning and triplane recordings
Benjamin Strandli Fermann, John Nyberg, Espen W. Remme, Jahn Frederik Grue, Helén Grue, Roger Håland, Lasse Lovstakken, Håvard Dalen, Bjørnar Grenne, Svein Arne Aase, Sten Roar Snar, Andreas Østvik
Deep Learning Event Detection Transesophageal Echocardiography
Prediction of Vessel Arrival Time to Pilotage Area Using Multi-Data Fusion and Deep Learning
Xiaocai Zhang, Xiuju Fu, Zhe Xiao, Haiyan Xu, Xiaoyang Wei, Jimmy Koh, Daichi Ogawa, Zheng Qin
Deep Learning Human Prediction Temporal Convolutional Network Residual Model Data Fusion Vessel Trajectory Departure Time Pattern
Shifting Focus: From Global Semantics to Local Prominent Features in Swin-Transformer for Knee Osteoarthritis Severity Assessment
Aymen Sekhri, Marouane Tliba, Mohamed Amine Kerkouri, Yassine Nasser, Aladine Chetouani, Alessandro Bruno, Rachid Jennane
Deep Learning Computer Vision Swin Transformer Local Feature Selective Focus Knee Osteoarthritis Global Semantics

March 14, 2024

Empowering Healthcare through Privacy-Preserving MRI Analysis
Al Amin, Kamrul Hasan, Saleh Zein-Sabatto, Deo Chimba, Liang Hong, Imtiaz Ahmed, Tariqul Islam
Deep Learning Healthcare System Sensitive Patient Robust Ensemble Federated Ensemble
Cloud gap-filling with deep learning for improved grassland monitoring
Iason Tsardanidis, Alkiviadis Koukos, Vasileios Sitokonstantinou, Thanassis Drivas, Charalampos Kontoes
Deep Learning Time Series Cloud Computing Vegetation Index
depyf: Open the Opaque Box of PyTorch Compiler for Machine Learning Researchers
Kaichao You, Runsheng Bai, Meng Cao, Jianmin Wang, Ion Stoica, Mingsheng Long
Deep Learning Machine Learning Pytorch Model Small Container
Emotional Intelligence Through Artificial Intelligence : NLP and Deep Learning in the Analysis of Healthcare Texts
Prashant Kumar Nag, Amit Bhagat, R. Vishnu Priya, Deepak kumar Khare
Deep Learning Artificial Intelligence Sentiment Analysis NLP Field Medical Text Emotion Classification Emotional Intelligence
Region-based U-net for accelerated training and enhanced precision in deep brain segmentation
Mengyu Li, Magnus Magnusson, Thilo van Eimeren, Lotta M. Ellingsen
Deep Learning U Net Multidimensional Local Precision Rate Faster Training Manual Segmentation Neural Structure Whole Brain Segmentation
Deep Limit Order Book Forecasting
Antonio Briola, Silvia Bartolucci, Tomaso Aste
Deep Learning Limit Order Book Trading Signal
Design of an basis-projected layer for sparse datasets in deep learning training using gc-ms spectra as a case study
Yu Tang Chang, Shih Fang Chen
Deep Learning Case Study Sparse Data Projection Matrix GC EI M Spectrum Sparse Communication

March 13, 2024

Using Deep Learning for Morphological Classification in Pigs with a Focus on Sanitary Monitoring
Eduardo Bedin, Junior Silva Souza, Gabriel Toshio Hirokawa Higa, Alexandre Pereira, Charles Kiefer, Newton Loebens, Hemerson Pistori
Deep Learning CNN Network Human Driving Focus Mathematical Morphology Pig Body
Federated Data Model
Xiao Chen, Shunan Zhang, Eric Z. Chen, Yikang Liu, Lin Zhao, Terrence Chen, Shanhui Sun
Deep Learning Synthetic Data Robust Deep Data Diversity Federated Data
SLCF-Net: Sequential LiDAR-Camera Fusion for Semantic Scene Completion using a 3D Recurrent U-Net
Helin Cao, Sven Behnke
Deep Learning Semantic Scene Completion LiDAR Camera Fusion 3D U Net Depth Prior
Deep Learning for In-Orbit Cloud Segmentation and Classification in Hyperspectral Satellite Data
Daniel Kovac, Jan Mucha, Jon Alvarez Justo, Jiri Mekyska, Zoltan Galaz, Krystof Novotny, Radoslav Pitonak, Jan Knezik, Jonas Herec, Tor Arne Johansen
Deep Learning Classification Code Cloud Detection 2 Dimensional Convolutional Neural Network Cloud Segmentation
Self-Supervised Learning for Covariance Estimation
Tzvi Diskin, Ami Wiesel
Deep Learning Self Supervised Learning Foundation Model Covariance Conditioning Covariance Estimation Adaptive Detection
A Sophisticated Framework for the Accurate Detection of Phishing Websites
Asif Newaz, Farhan Shahriyar Haq, Nadim Ahmed
Deep Learning Accurate Detection Phishing Email
Research on the Application of Deep Learning-based BERT Model in Sentiment Analysis
Yichao Wu, Zhengyu Jin, Chenxi Shi, Penghao Liang, Tong Zhan
Deep Learning Application Proficiency Sentiment Analysis BERT Model DH Research BERT Based Sentiment Analysis Task
Advancing Security in AI Systems: A Novel Approach to Detecting Backdoors in Deep Neural Networks
Khondoker Murad Hossain, Tim Oates
Deep Learning Deep Neural Network Backdoor Attack AI System Novel Approach Security Related Backdoor Detection Independent Vector

Deep Learning

Papers

Deep Learning for Multi-Level Detection and Localization of Myocardial Scars Based on Regional Strain Validated on Virtual Patients

CoReEcho: Continuous Representation Learning for 2D+time Echocardiography Analysis

Cardiac valve event timing in echocardiography using deep learning and triplane recordings

Prediction of Vessel Arrival Time to Pilotage Area Using Multi-Data Fusion and Deep Learning

Shifting Focus: From Global Semantics to Local Prominent Features in Swin-Transformer for Knee Osteoarthritis Severity Assessment

Empowering Healthcare through Privacy-Preserving MRI Analysis

Cloud gap-filling with deep learning for improved grassland monitoring

depyf: Open the Opaque Box of PyTorch Compiler for Machine Learning Researchers

Emotional Intelligence Through Artificial Intelligence : NLP and Deep Learning in the Analysis of Healthcare Texts

Region-based U-net for accelerated training and enhanced precision in deep brain segmentation

Deep Limit Order Book Forecasting

Design of an basis-projected layer for sparse datasets in deep learning training using gc-ms spectra as a case study

Using Deep Learning for Morphological Classification in Pigs with a Focus on Sanitary Monitoring

Federated Data Model

SLCF-Net: Sequential LiDAR-Camera Fusion for Semantic Scene Completion using a 3D Recurrent U-Net

Deep Learning for In-Orbit Cloud Segmentation and Classification in Hyperspectral Satellite Data

Self-Supervised Learning for Covariance Estimation

A Sophisticated Framework for the Accurate Detection of Phishing Websites

Research on the Application of Deep Learning-based BERT Model in Sentiment Analysis

Advancing Security in AI Systems: A Novel Approach to Detecting Backdoors in Deep Neural Networks