Original title: CAPCODRE: A Computational Systems Biology and Machine Learning-Based Approach to Predict Cognitive Disorder Risk in the Elderly Authors: Srilekha Mamidala As global life expectancy increases, so does the population of elderly individuals. Unfortunately,…
Tag: accuracy
Can EWasteNet Efficiently Classify E-Waste Images?
Original title: EWasteNet: A Two-Stream Data Efficient Image Transformer Approach for E-Waste Classification Authors: Niful Islam, Md. Mehedi Hasan Jony, Emam Hasan, Sunny Sutradhar, Atikur Rahman, Md. Motaharul Islam The article tackles the pressing issue…
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Does R²-Elimination & Bayesian Selection Boost Equation Learning Accuracy?
Original title: Improved identification accuracy in equation learning via comprehensive $\boldsymbol{R^2}$-elimination and Bayesian model selection Authors: Daniel Nickelsen, Bubacarr Bah In this article, researchers tackle the challenge of equation learning, where exhaustive exploration of all…
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Can Graph Neural Networks Enhance Content?
Original title: Content Augmented Graph Neural Networks Authors: Fatemeh Gholamzadeh Nasrabadi, AmirHossein Kashani, Pegah Zahedi, Mostafa Haghir Chehreghani In the world of graph neural networks, there’s a common hitch: as these networks process data, the…
Can Better Training Data and Algorithms Solve Deep Neural Network Issues?
Original title: Fixing the problems of deep neural networks will require better training data and learning algorithms Authors: Drew Linsley, Thomas Serre In their article, Bowers and team highlight a crucial issue: deep neural networks…
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Can MiniAnDE Handle Microarray Data?
Original title: MiniAnDE: a reduced AnDE ensemble to deal with microarray data Authors: Pablo Torrijos, José A. Gámez, José M. Puerta This article dives into tackling a tricky task: classifying datasets packed with variables but…