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

February 9, 2024

Image-based Deep Learning for the time-dependent prediction of fresh concrete properties
Max Meyer, Amadeus Langer, Max Mehltretter, Dries Beyer, Max Coenen, Tobias Schack, Michael Haist, Christian Heipke
Deep Learning Concrete Workability
Deep Learning-Based Auto-Segmentation of Planning Target Volume for Total Marrow and Lymph Node Irradiation
Ricardo Coimbra Brioso, Damiano Dei, Nicola Lambri, Daniele Loiacono, Pietro Mancosu, Marta Scorsetti
Deep Learning Learning Based Lymph Node Contour Error Target Volume Intensity Modulated Radiotherapy Dual Contouring
Insomnia Identification via Electroencephalography
Olviya Udeshika, Dilshan Lakshitha, Nilantha Premakumara, Surangani Bandara
Deep Learning Brain Electroencephalography Neural Activity Sleep Health Specific Insomnia Aspect

February 8, 2024

A Study on Stock Forecasting Using Deep Learning and Statistical Models
Himanshu Gupta, Aditya Jaiswal
Deep Learning Deep Learning Model Study Feature LSTM Network Statistical Model Short Term Stock Price Forecasting
Investigating Reproducibility in Deep Learning-Based Software Fault Prediction
Adil Mukhtar, Dietmar Jannach, Franz Wotawa
Deep Learning Machine Learning Research Reproducibility Reproducibility Crisis
One-Stop Automated Diagnostic System for Carpal Tunnel Syndrome in Ultrasound Images Using Deep Learning
Jiayu Peng, Jiajun Zeng, Manlin Lai, Ruobing Huang, Dong Ni, Zhenzhou Li
Deep Learning Ultrasound Image Automatic Diagnosis Carpal Tunnel Syndrome
Heart disease risk prediction using deep learning techniques with feature augmentation
María Teresa García-Ordás, Martín Bayón-Gutiérrez, Carmen Benavides, Jose Aveleira-Mata, José Alberto Benítez-Andrades
Deep Learning Barzilai Borwein Technique Disease Prediction Feature Augmentation Cardiovascular Disease Risk Information Theoretic Detectability Cardiovascular Disease
Exploring the Impact of In-Browser Deep Learning Inference on Quality of User Experience and Performance
Qipeng Wang, Shiqi Jiang, Zhenpeng Chen, Xu Cao, Yuanchun Li, Aoyu Li, Ying Zhang, Yun Ma, Ting Cao, Xuanzhe Liu
Deep Learning Global Impact System Performance Quality Issue User Experience Exact Inference Quality of Experience

February 7, 2024

A Survey on Domain Generalization for Medical Image Analysis
Ziwei Niu, Shuyi Ouyang, Shiao Xie, Yen-wei Chen, Lanfen Lin
Deep Learning Timely Survey Domain Generalization Domain Shift Medical Image Analysis Domain Shift Problem
Impact of Dataset Properties on Membership Inference Vulnerability of Deep Transfer Learning
Marlon Tobaben, Hibiki Ito, Joonas Jälkö, Gauri Pradhan, Yuan He, Antti Honkela
Deep Learning Global Impact Membership Inference Attack Membership Inference Efficient Classification Membership Privacy Privacy Threat Dataset Level
BOWLL: A Deceptively Simple Open World Lifelong Learner
Roshni Kamath, Rupert Mitchell, Subarnaduti Paul, Kristian Kersting, Martin Mundt
Deep Learning Deep Neural Network Batch Normalization Lifelong Learning Open World Learning
Analyzing the Neural Tangent Kernel of Periodically Activated Coordinate Networks
Hemanth Saratchandran, Shin-Fang Chng, Simon Lucey
Neural Network Deep Learning Neural Tangent Kernel Periodic Activation Function Coordinate Network
The Role of LLMs in Sustainable Smart Cities: Applications, Challenges, and Future Directions
Amin Ullah, Guilin Qi, Saddam Hussain, Irfan Ullah, Zafar Ali
Large Language Model Deep Learning Technical Challenge Financial Application Future Direction Smart City Sustainable Urban Development Urban Change

February 6, 2024

IoT Network Traffic Analysis with Deep Learning
Mei Liu, Leon Yang
Deep Learning Machine Learning Internet of Thing Deep Learning Algorithm Internet of Thing Network Deep Anomaly Detection IoT Traffic
What limits performance of weakly supervised deep learning for chest CT classification?
Fakrul Islam Tushar, Vincent M. D'Anniballe, Geoffrey D. Rubin, Joseph Y. Lo
Deep Learning System Performance Weak Supervision Weakly Supervised Learning Chest X Ray Classification Accurate Disease Disease Label
Personality Trait Recognition using ECG Spectrograms and Deep Learning
Muhammad Mohsin Altaf, Saadat Ullah Khan, Muhammad Majd, Syed Muhammad Anwar
Deep Learning Personality Trait Electrocardiogram Signal Personality Classification Big Five Personality Personality Trait Recognition
Deep-Learning Estimation of Weight Distribution Using Joint Kinematics for Lower-Limb Exoskeleton Control
Clément Lhoste, Emek Barış Küçüktabak, Lorenzo Vianello, Lorenzo Amato, Matthew R. Short, Kevin Lynch, Jose L. Pons
Deep Learning Neural Network Weight Exoskeleton Technology Lower Limb Exoskeleton Weight Distribution Exoskeleton Control Exoskeleton Model
Deep Learning for Multivariate Time Series Imputation: A Survey
Jun Wang, Wenjie Du, Wei Cao, Keli Zhang, Wenjia Wang, Yuxuan Liang, Qingsong Wen
Deep Learning Timely Survey Multivariate Time Series Data Time Series Imputation Deep Imputation
DeepTraderX: Challenging Conventional Trading Strategies with Deep Learning in Multi-Threaded Market Simulations
Armand Mihai Cismaru
Deep Learning Stock Market Trading Strategy Multi Agent Market Market Simulator Efficient Market
A comparison between humans and AI at recognizing objects in unusual poses
Netta Ollikka, Amro Abbas, Andrea Perin, Markku Kilpeläinen, Stéphane Deny
Deep Learning Deep Network Arbitrary Object Real Human Vision System Recognition Benchmark Human Visual System Unusual Pose

Deep Learning

Papers

Image-based Deep Learning for the time-dependent prediction of fresh concrete properties

Deep Learning-Based Auto-Segmentation of Planning Target Volume for Total Marrow and Lymph Node Irradiation

Insomnia Identification via Electroencephalography

A Study on Stock Forecasting Using Deep Learning and Statistical Models

Investigating Reproducibility in Deep Learning-Based Software Fault Prediction

One-Stop Automated Diagnostic System for Carpal Tunnel Syndrome in Ultrasound Images Using Deep Learning

Heart disease risk prediction using deep learning techniques with feature augmentation

Exploring the Impact of In-Browser Deep Learning Inference on Quality of User Experience and Performance

A Survey on Domain Generalization for Medical Image Analysis

Impact of Dataset Properties on Membership Inference Vulnerability of Deep Transfer Learning

BOWLL: A Deceptively Simple Open World Lifelong Learner

Analyzing the Neural Tangent Kernel of Periodically Activated Coordinate Networks

The Role of LLMs in Sustainable Smart Cities: Applications, Challenges, and Future Directions

IoT Network Traffic Analysis with Deep Learning

What limits performance of weakly supervised deep learning for chest CT classification?

Personality Trait Recognition using ECG Spectrograms and Deep Learning

Deep-Learning Estimation of Weight Distribution Using Joint Kinematics for Lower-Limb Exoskeleton Control

Deep Learning for Multivariate Time Series Imputation: A Survey

DeepTraderX: Challenging Conventional Trading Strategies with Deep Learning in Multi-Threaded Market Simulations

A comparison between humans and AI at recognizing objects in unusual poses