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

November 24, 2024

An investigation into the performances of the Current state-of-the-art Naive Bayes, Non-Bayesian and Deep Learning Based Classifier for Phishing Detection: A Survey
Tosin Ige, Christopher Kiekintveld, Aritran Piplai, Amy Waggler, Olukunle Kolade, Bolanle Hafiz Matti
Deep Learning Simple Classifier Bayesian Perspective Naive Bayes Deep Learning Classifier Anti Phishing Phishing Email
Mapping waterways worldwide with deep learning
Matthew Pierson, Zia Mehrabi
Deep Learning Earth System Digital Elevation Model River Network

November 23, 2024

On the importance of local and global feature learning for automated measurable residual disease detection in flow cytometry data
Lisa Weijler, Michael Reiter, Pedro Hermosilla, Margarita Maurer-Granofszky, Michael Dworzak
Deep Learning Importance Aware Global Feature Flow Cytometry Residual Disease
Deep Learning for THz Channel Estimation and Beamforming Prediction via Sub-6GHz Channel
Sagnik Bhattacharya, Abhishek K. Gupta
Deep Learning THz Image Beam Prediction Wireless Channel
Maximizing the Impact of Deep Learning on Subseasonal-to-Seasonal Climate Forecasting: The Essential Role of Optimization
Yizhen Guo, Tian Zhou, Wanyi Jiang, Bo Wu, Liang Sun, Rong Jin
Deep Learning Optimization Purpose Global Impact Integral Role Numerical Weather Prediction Forecasting Analysis Climate Forecasting

November 21, 2024

Enhancing Medical Image Segmentation with Deep Learning and Diffusion Models
Houze Liu, Tong Zhou, Yanlin Xiang, Aoran Shen, Jiacheng Hu, Junliang Du
Deep Learning Diffusion Model Full Model Medical Image Segmentation Diffusion Explainer Segmentation Network Medical Image Datasets Segmentation Accuracy
Deep Learning Approach for Enhancing Oral Squamous Cell Carcinoma with LIME Explainable AI Technique
Samiha Islam, Muhammad Zawad Mahmud, Shahran Rahman Alve, Md. Mejbah Ullah Chowdhury
Deep Learning Deep Learning Approach Deep Learning Architecture Local Interpretable Model Agnostic Explanation Diagnostic Accuracy Oral Cancer
Uterine Ultrasound Image Captioning Using Deep Learning Techniques
Abdennour Boulesnane, Boutheina Mokhtari, Oumnia Rana Segueni, Slimane Segueni
Deep Learning Convolutional Neural Network Medical Image Ultrasound Image Gated Recurrent Unit Lung Ultrasound
Deep Learning for Cross-Border Transaction Anomaly Detection in Anti-Money Laundering Systems
Qian Yu, Zhen Xu, Zong Ke
Deep Learning Fraud Detection Money Laundering
FLRNet: A Deep Learning Method for Regressive Reconstruction of Flow Field From Limited Sensor Measurements
Phong C. H. Nguyen, Joseph B. Choi, Quang-Trung Luu
Deep Learning Flow Mood Flow Field Limited Sensing Flow Field Reconstruction
AutoMixQ: Self-Adjusting Quantization for High Performance Memory-Efficient Fine-Tuning
Changhai Zhou, Shiyang Zhang, Yuhua Zhou, Zekai Liu, Shichao Weng
Large Language Model Deep Learning End to End High Performance Memory Efficient Fine Tuning LLM Framework

November 19, 2024

Barttender: An approachable & interpretable way to compare medical imaging and non-imaging data
Ayush Singla, Shakson Isaac, Chirag J. Patel
Deep Learning Medical Image Interpretable Way Imaging Technique Feature Transformation Generative Transformer Model BART Based Deep Learning Non Image Data
Deep Learning-Driven Heat Map Analysis for Evaluating thickness of Wounded Skin Layers
Devakumar GR, JB Kaarthikeyan, Dominic Immanuel T, Sheena Christabel Pravin
Deep Learning Skin Image Location Heatmaps Heatmap Based Method Thickness Profile
DLBacktrace: A Model Agnostic Explainability for any Deep Learning Models
Vinay Kumar Sankarapu, Chintan Chitroda, Yashwardhan Rathore, Neeraj Kumar Singh, Pratinav Seth
Deep Learning Full Model Inherent Interpretability Interpretability Method Model Agnostic Explanation Model Transparency Built in Interpretability
Leadsee-Precip: A Deep Learning Diagnostic Model for Precipitation
Weiwen Ji, Jin Feng, Yueqi Liu, Yulu Qiu, Hua Gao
Deep Learning Numerical Weather Prediction Global Weather Weather Prediction Model Dense Optical Flow Precipitation Forecasting Precipitation Associated
The Hermeneutic Turn of AI: Is the Machine Capable of Interpreting?
Remy Demichelis
Neural Network Deep Learning Artificial Intelligence New Machine Digital Computing Machine Translated Sensemaking Tool
Motif Channel Opened in a White-Box: Stereo Matching via Motif Correlation Graph
Ziyang Chen, Yongjun Zhang, Wenting Li, Bingshu Wang, Yong Zhao, C. L. Philip Chen
Deep Learning Autonomous Driving Stereo Matching White Box Jamdani Motif Motif Discovery Correlation Graph

Deep Learning

Papers

An investigation into the performances of the Current state-of-the-art Naive Bayes, Non-Bayesian and Deep Learning Based Classifier for Phishing Detection: A Survey

Mapping waterways worldwide with deep learning

On the importance of local and global feature learning for automated measurable residual disease detection in flow cytometry data

Deep Learning for THz Channel Estimation and Beamforming Prediction via Sub-6GHz Channel

Maximizing the Impact of Deep Learning on Subseasonal-to-Seasonal Climate Forecasting: The Essential Role of Optimization

The Power of Types: Exploring the Impact of Type Checking on Neural Bug Detection in Dynamically Typed Languages

Dimension-independent rates for structured neural density estimation

Ex Uno Pluria: Insights on Ensembling in Low Precision Number Systems

Enhancing Medical Image Segmentation with Deep Learning and Diffusion Models

Deep Learning Approach for Enhancing Oral Squamous Cell Carcinoma with LIME Explainable AI Technique

Uterine Ultrasound Image Captioning Using Deep Learning Techniques

Deep Learning for Cross-Border Transaction Anomaly Detection in Anti-Money Laundering Systems

FLRNet: A Deep Learning Method for Regressive Reconstruction of Flow Field From Limited Sensor Measurements

AutoMixQ: Self-Adjusting Quantization for High Performance Memory-Efficient Fine-Tuning

Barttender: An approachable & interpretable way to compare medical imaging and non-imaging data

Deep Learning-Driven Heat Map Analysis for Evaluating thickness of Wounded Skin Layers

DLBacktrace: A Model Agnostic Explainability for any Deep Learning Models

Leadsee-Precip: A Deep Learning Diagnostic Model for Precipitation

The Hermeneutic Turn of AI: Is the Machine Capable of Interpreting?

Motif Channel Opened in a White-Box: Stereo Matching via Motif Correlation Graph