Summary of Deep Learning in Image Classification: Evaluating Vgg19’s Performance on Complex Visual Data, by Weijie He et al.
Deep Learning in Image Classification: Evaluating VGG19’s Performance on Complex Visual Databy Weijie He, Tong…
Summary of Few-shot Metric Domain Adaptation: Practical Learning Strategies For An Automated Plant Disease Diagnosis, by Shoma Kudo et al.
Few-shot Metric Domain Adaptation: Practical Learning Strategies for an Automated Plant Disease Diagnosisby Shoma Kudo,…
Summary of Optimizing Large Language Models with An Enhanced Lora Fine-tuning Algorithm For Efficiency and Robustness in Nlp Tasks, by Jiacheng Hu et al.
Optimizing Large Language Models with an Enhanced LoRA Fine-Tuning Algorithm for Efficiency and Robustness in…
Summary of Three-class Text Sentiment Analysis Based on Lstm, by Yin Qixuan
Three-Class Text Sentiment Analysis Based on LSTMby Yin QixuanFirst submitted to arxiv on: 23 Dec…
Summary of Identifying Cyberbullying Roles in Social Media, by Manuel Sandoval et al.
Identifying Cyberbullying Roles in Social Mediaby Manuel Sandoval, Mohammed Abuhamad, Patrick Furman, Mujtaba Nazari, Deborah…
Summary of Machine Learning-based Automated Assessment Of Intracorporeal Suturing in Laparoscopic Fundoplication, by Shekhar Madhav Khairnar et al.
Machine Learning-Based Automated Assessment of Intracorporeal Suturing in Laparoscopic Fundoplicationby Shekhar Madhav Khairnar, Huu Phong…
Summary of Ef-net: a Deep Learning Approach Combining Word Embeddings and Feature Fusion For Patient Disposition Analysis, by Nafisa Binte Feroz et al.
EF-Net: A Deep Learning Approach Combining Word Embeddings and Feature Fusion for Patient Disposition Analysisby…
Summary of The Multiplex Classification Framework: Optimizing Multi-label Classifiers Through Problem Transformation, Ontology Engineering, and Model Ensembling, by Mauro Nievas Offidani et al.
The Multiplex Classification Framework: optimizing multi-label classifiers through problem transformation, ontology engineering, and model ensemblingby…
Summary of Comparative Analysis Of Machine Learning-based Imputation Techniques For Air Quality Datasets with High Missing Data Rates, by Sen Yan et al.
Comparative Analysis of Machine Learning-Based Imputation Techniques for Air Quality Datasets with High Missing Data…
Summary of Rare Event Detection in Imbalanced Multi-class Datasets Using An Optimal Mip-based Ensemble Weighting Approach, by Georgios Tertytchny et al.
Rare Event Detection in Imbalanced Multi-Class Datasets Using an Optimal MIP-Based Ensemble Weighting Approachby Georgios…