#featureselection — Search

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Check out the Statistics Globe Hub: statisticsglobe.com/hub The Statistics Globe Hub is an ongoing learning program that helps you stay up to date with statistics, data science, AI, and programming using R and Python. #randomforest #featureselection #machinelearning #datascience #rstats #statisticsglobehub

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MAKE_MDPI @MAKE_MDPI · Mar 17

📉📊 Top Cited Paper in Issue 2 of 2024 in MAKE Effective Data Reduction Using Discriminative Feature Selection Based on Principal Component Analysis 🔗 Read the full papemdpi.com/2504-4990/6/2/…9vQ #FeatureSelection #FeatureReduction #PCA #SingularValueDecompositiXN1

Applied Sciences MDPI @Applsci · Mar 12

#highlycited paper 📚Impacts of #FeatureSelection on Predicting Machine Failures by Machine Learning Algorithms mdpi.com/2076-3417/14/8…QV 👨‍🔬by Francisco Elânio Bezerra et al. 🏫FEI University #machinelearning #machinefaiEJZu9

Biomimetics @Biomim_MDPI · Mar 10

🐞 This study introduces BGOA-TVG, a binary grasshopper optimization algorithm using time-varying Gaussian transfer functions for more effective feature selection. �mdpi.com/2313-7673/9/3/…aC #Biomimetics #MachineLearning #FeatureSelection #SwarmIntelligencXf

Applied Sciences MDPI @Applsci · Mar 10

📢 #highlycited paper 📚 MFCC Selection by LASSO for #HoneyBee Classification mdpi.com/2076-3417/14/2…fGL 👨‍🔬 by Urszula Libal et al. 🏫 Wrocław University of Science and Technology and Technology #featureselection #soundprocehySm11

Future Internet_MDPI @FutureInternet6 · Mar 5

📢 MDPIfutureinternet [Top Cited Papers in 2025] 🚩Title: Efficient Distributed Denial of Service Attack Detection in #InternetofVehicles Using Gini Index #FeatureSelection and #FederatedLearning 📌Views: 2649 📌Citations: 1mdpi.com/1999-5903/17/1…hPSlW #DD@oS @ComSciMath_LHKAo

Inventions @inventions_MDPI · Feb 6

✨Interesting Read ✨ 📑Early-Stage Identification of Powdery Mildew Levels for Cucurbit Plants in Open-Field Conditions Based on Texture Descriptors 👩‍🔬Rivera-Romero, C.A. et al. mdpi.com/2411-5134/9/1/8ZxHR #StatisticalTests #FeatureExtraction #FeatureSelection #ConfusionMatKRHf

paras chauhan @paras_chauhan70 · Feb 3

Day 41 | Curse of Dimensionality More features ≠ better models. High dimensions → sparsity → poor distance learning. Solution: • Feature Selection • Feature Extraction Learn to reduce before you predict. #MachineLearning #FeatureSelection

IJIMAI @IJIMAI_journal · Jan 27

🔍📊 Using Archimedes’ Optimization Algorithm (AOA), researchers found optimal feature subsets to boost classification accuracy across 16 benchmark datasets, outperforming SCA, WOA, BAO & MFO. #MachineLearning #DataMining #FeatureSelection #AIdoi.org/10.9781/ijimai…glY

Mayank Verma @idkhowcuriousim · Jan 21

Day 44/100: The Golden Features: Constructing the Input Vector linkedin.com/posts/mayerust… #FeatureSelection #DataScience #Numpy #MachineLearning #CyberSecurity #ShadowGuard #100DaysOfCode @KirkDBorne @GoogleAI

#featureselection #datascience #numpy #machinelearning #cybersecurity #shadowguard #100daysofcode...

Day 44/100: The Golden Features: Constructing the Input Vector Data Science isn't just about collecting features; it's about selecting the right ones. Today, I finalized the feature set for ShadowG...

From linkedin.com

Hadas Benisty @HBenisty · Jan 18

1/ I am thrilled to share that Shira Lifshitz will present our paper at AAAI (oral + poster)! This was a collaborative effort with Ron Meir (EE, Technion), @gmishne (UC San Diego), and @Ofirlin (BIU). #AAAI #UnsupervisedLearning #FeatureSelection #GraphLearning #DataScience

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İsmail AÇAR @ismail_acr2763 · Jan 13

Yüksek Lisans Tez Çalışmamı bu bağlantıdan dinleyebilirsiniz... drive.google.com/file/d/1Kv5q83… #yapayzeka #yapayzekaoptimizasyon #featureselection #öznitelikseçimi #metasezgiselalgoritmalar

İsmail AÇAR @ismail_acr2763 · Jan 12

"Metasezgisel Algoritmalarla Öznitelik Seçimi Yöntemlerinin İncelenmesi ve Uygulanması" başlıklı yüksek lisans tezimi savunarak mezun oldum. Tez sürecindeki katkılarından ve ilgisinden dolayı danışman hocam Prof.Dr. İbrahim Berkan AYDİLEK'e teşekkür ediyorum.

AIQuantumAndScienceNews @AIQuantumLifeEx · Jan 8

MAFS: Multi-head Attention Feature Selection for High-Dimensional Data via Deep Fusion of Filter Methods Preprint: This study introduces a multi-head attention fea… arxiv.org/abs/2601.02668 #AI #FeatureSelection #DeepLearning #MachineLearning #Preprint #Arxiv #ScienceNews

MAFS: Multi-head Attention Feature Selection for High-Dimensional...

Feature selection is essential for high-dimensional biomedical data, enabling stronger predictive performance, reduced computational cost, and improved interpretability in precision medicine...

From arxiv.org

Information MDPI @InformationMDPI · Dec 18, 2025

🔍 Read #HighlyCitedArticle "A Survey on Feature Selection Techniques Based on Filtering Methods for Cyber Attack Detection" by Yang Lyu, Yaokai Feng and Kouichi Sakurai. See more details at:doi.org/10.3390/info14…R #CyberSecurity #FeatureSelection #ML @ComSciMath_Mdpij