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

October 28, 2024

Diagnostic Performance of Deep Learning for Predicting Gliomas' IDH and 1p/19q Status in MRI: A Systematic Review and Meta-Analysis
Somayeh Farahani, Marjaneh Hejazi, Mehnaz Tabassum, Antonio Di Ieva, Neda Mahdavifar, Sidong Liu
Deep Learning Magnetic Resonance Imaging Radiomics Feature Brain Tumor Biomarker Selection Diagnostic Accuracy MRI Data Isocitrate Dehydrogenase Mutation
Deep Recurrent Stochastic Configuration Networks for Modelling Nonlinear Dynamic Systems
Gang Dang, Dianhui Wang
Deep Learning Reservoir Computing Nonlinear Model Stochastic Configuration Network
Deep Learning for Medical Text Processing: BERT Model Fine-Tuning and Comparative Study
Jiacheng Hu, Yiru Cang, Guiran Liu, Meiqi Wang, Weijie He, Runyuan Bao
Deep Learning Comparative Study BERT Model Text Summarization Clinical Text Medical Text Fine Tuned BERT Medical Text Summarization
GPRec: Bi-level User Modeling for Deep Recommenders
Yejing Wang, Dong Xu, Xiangyu Zhao, Zhiren Mao, Peng Xiang, Ling Yan, Yao Hu, Zijian Zhang, Xuetao Wei, Qidong Liu
Deep Learning Individual Representation Recommendation Quality User Modeling Specific Preference Group Wise Prediction Model

October 27, 2024

Deep Learning Based Dense Retrieval: A Comparative Study
Ming Zhong, Zhizhi Wu, Nanako Honda
Deep Learning Comparative Study Dense Retrieval Retrieval Performance Dense Retriever Online Tokenizer Dense Passage Retrieval
Deep Learning, Machine Learning -- Digital Signal and Image Processing: From Theory to Application
Weiche Hsieh, Ziqian Bi, Junyu Liu, Benji Peng, Sen Zhang, Xuanhe Pan, Jiawei Xu, Jinlang Wang, Keyu Chen, Caitlyn Heqi Yin, Pohsun Feng, Yizhu Wen, Tianyang Wang, Ming Li, Jintao Ren, Qian Niu, Silin Chen, Ming Liu
Deep Learning Machine Learning Computer Vision Theoretical Understanding Image Processing Signal Processing Digital Modulation

October 26, 2024

October 25, 2024

Enhancing Battery Storage Energy Arbitrage with Deep Reinforcement Learning and Time-Series Forecasting
Manuel Sage, Joshua Campbell, Yaoyao Fiona Zhao
Deep Learning LeArning Abstract Deep Reinforcement Learning Time Series Forecasting Deep Q Network Deep Reinforcement Energy Storage Electricity Price Energy Arbitrage
Resolving Domain Shift For Representations Of Speech In Non-Invasive Brain Recordings
Jeremiah Ridge, Oiwi Parker Jones
Deep Learning Speech Analysis Domain Shift Meaningful Representation Accurate Decoding Neural Recording Non Invasive Magnetoencephalography Data
Towards Robust Out-of-Distribution Generalization: Data Augmentation and Neural Architecture Search Approaches
Haoyue Bai
Deep Learning Native Robustness Data Augmentation Robust Architecture
Arabic Music Classification and Generation using Deep Learning
Mohamed Elshaarawy, Ashrakat Saeed, Mariam Sheta, Abdelrahman Said, Asem Bakr, Omar Bahaa, Walid Gomaa
Deep Learning Faithful Generation MEL Spectrogram
A Review of Deep Learning Approaches for Non-Invasive Cognitive Impairment Detection
Muath Alsuhaibani, Ali Pourramezan Fard, Jian Sun, Farida Far Poor, Peter S. Pressman, Mohammad H. Mahoor
Deep Learning Narrative Review Non Invasive Cognitive Impairment Facial Analysis Cognitive Decline
Deep Learning for Classification of Inflammatory Bowel Disease Activity in Whole Slide Images of Colonic Histopathology
Amit Das, Tanmay Shukla, Naofumi Tomita, Ryland Richards, Laura Vidis, Bing Ren, Saeed Hassanpour
Deep Learning Classification Code Whole Slide Image Pathologist Assessment Ulcerative Colitis
On the Application of Deep Learning for Precise Indoor Positioning in 6G
Sai Prasanth Kotturi, Anil Kumar Yerrapragada, Sai Prasad, Radha Krishna Ganti
Deep Learning Application Proficiency Accurate Localization Accuracy Improvement Impulse Response Line of Sight
Analysis of Financial Risk Behavior Prediction Using Deep Learning and Big Data Algorithms
Haowei Yang, Zhan Cheng, Zhaoyang Zhang, Yuanshuai Luo, Shuaishuai Huang, Ao Xiang
Deep Learning General Analysis Big Data Risk Prediction
TBBC: Predict True Bacteraemia in Blood Cultures via Deep Learning
Kira Sam
Deep Learning Machine Learning Model Sepsis Prediction Standard Sepsis Sepsis Treatment PhysioNet Sepsis Challenge Paper

October 24, 2024

Deep Insights into Cognitive Decline: A Survey of Leveraging Non-Intrusive Modalities with Deep Learning Techniques
David Ortiz-Perez, Manuel Benavent-Lledo, Jose Garcia-Rodriguez, David Tomás, M. Flores Vizcaya-Moreno
Deep Learning Timely Survey Estimation Task Multimodal Model Non Invasive Cognitive Decline
Multi-Class Abnormality Classification in Video Capsule Endoscopy Using Deep Learning
Arnav Samal, Ranya Batsyas
Deep Learning Convolutional Neural Network Deep Learning Approach Capsule Endoscopy Traditional CNNs Disease Detection Model Video Capsule Endoscopy

Deep Learning

Papers

Diagnostic Performance of Deep Learning for Predicting Gliomas' IDH and 1p/19q Status in MRI: A Systematic Review and Meta-Analysis

Deep Recurrent Stochastic Configuration Networks for Modelling Nonlinear Dynamic Systems

Deep Learning for Medical Text Processing: BERT Model Fine-Tuning and Comparative Study

GPRec: Bi-level User Modeling for Deep Recommenders

Deep Learning Based Dense Retrieval: A Comparative Study

Deep Learning, Machine Learning -- Digital Signal and Image Processing: From Theory to Application

Infectious Disease Forecasting in India using LLM's and Deep Learning

DeepMIDE: A Multivariate Spatio-Temporal Method for Ultra-Scale Offshore Wind Energy Forecasting

A Multi-Modal Non-Invasive Deep Learning Framework for Progressive Prediction of Seizures

Enhancing Battery Storage Energy Arbitrage with Deep Reinforcement Learning and Time-Series Forecasting

Resolving Domain Shift For Representations Of Speech In Non-Invasive Brain Recordings

Towards Robust Out-of-Distribution Generalization: Data Augmentation and Neural Architecture Search Approaches

Arabic Music Classification and Generation using Deep Learning

A Review of Deep Learning Approaches for Non-Invasive Cognitive Impairment Detection

Deep Learning for Classification of Inflammatory Bowel Disease Activity in Whole Slide Images of Colonic Histopathology

On the Application of Deep Learning for Precise Indoor Positioning in 6G

Analysis of Financial Risk Behavior Prediction Using Deep Learning and Big Data Algorithms

TBBC: Predict True Bacteraemia in Blood Cultures via Deep Learning

Deep Insights into Cognitive Decline: A Survey of Leveraging Non-Intrusive Modalities with Deep Learning Techniques

Multi-Class Abnormality Classification in Video Capsule Endoscopy Using Deep Learning