Summary of Dataset Condensation Driven Machine Unlearning, by Junaid Iqbal Khan
Dataset Condensation Driven Machine Unlearningby Junaid Iqbal KhanFirst submitted to arxiv on: 31 Jan 2024CategoriesMain:…
Summary of Determination Of Trace Organic Contaminant Concentration Via Machine Classification Of Surface-enhanced Raman Spectra, by Vishnu Jayaprakash et al.
Determination of Trace Organic Contaminant Concentration via Machine Classification of Surface-Enhanced Raman Spectraby Vishnu Jayaprakash,…
Summary of An Experiment on Feature Selection Using Logistic Regression, by Raisa Islam et al.
An Experiment on Feature Selection using Logistic Regressionby Raisa Islam, Subhasish Mazumdar, Rakibul IslamFirst submitted…
Summary of Decentralised, Collaborative, and Privacy-preserving Machine Learning For Multi-hospital Data, by Congyu Fang et al.
Decentralised, Collaborative, and Privacy-preserving Machine Learning for Multi-Hospital Databy Congyu Fang, Adam Dziedzic, Lin Zhang,…
Summary of Mp-sl: Multihop Parallel Split Learning, by Joana Tirana et al.
MP-SL: Multihop Parallel Split Learningby Joana Tirana, Spyros Lalis, Dimitris ChatzopoulosFirst submitted to arxiv on:…
Summary of Cnn-fl For Biotechnology Industry Empowered by Internet-of-bionano Things and Digital Twins, By Mohammad (behdad) Jamshidi et al.
CNN-FL for Biotechnology Industry Empowered by Internet-of-BioNano Things and Digital Twinsby Mohammad, Jamshidi, Dinh Thai…
Summary of Multi-group Learning For Hierarchical Groups, by Samuel Deng and Daniel Hsu
Multi-group Learning for Hierarchical Groupsby Samuel Deng, Daniel HsuFirst submitted to arxiv on: 1 Feb…
Summary of An Accurate and Low-parameter Machine Learning Architecture For Next Location Prediction, by Calvin Jary and Nafiseh Kahani
An Accurate and Low-Parameter Machine Learning Architecture for Next Location Predictionby Calvin Jary, Nafiseh KahaniFirst…
Summary of Spatial-temporal-demand Clustering For Solving Large-scale Vehicle Routing Problems with Time Windows, by Christoph Kerscher and Stefan Minner
Spatial-temporal-demand clustering for solving large-scale vehicle routing problems with time windowsby Christoph Kerscher, Stefan MinnerFirst…
Summary of Interactive and Intelligent Root Cause Analysis in Manufacturing with Causal Bayesian Networks and Knowledge Graphs, by Christoph Wehner et al.
Interactive and Intelligent Root Cause Analysis in Manufacturing with Causal Bayesian Networks and Knowledge Graphsby…