Deep Learning’s Anomaly Detection Supremacy May Be an Illusion, Study Finds
A reproducibility study of 18 influential papers finds that data leakage, silently modified datasets, and underspecified baselines have inflated claims ...
A reproducibility study of 18 influential papers finds that data leakage, silently modified datasets, and underspecified baselines have inflated claims ...
A new open-source benchmark called towerbench brings frozen evaluation protocols, paired bootstrap statistics and rolling-origin windows to recommender system testing, ...
A new machine learning study shows that the amount of intrinsic disorder in a gene's protein product can help distinguish ...
Researchers have built a reuse-aware, package-level fault prediction model for Java applications that pairs architectural metrics with SHAP and LIME ...
Researchers in Nigeria trained four machine learning models to predict gamma radiation doses across a steel dumpsite in Katsina State, ...
A scientometric analysis of 1,758 studies maps how artificial intelligence is being integrated with building information modeling across real estate ...
Researchers at the University of Calabria have developed RLAX, a reinforcement learning framework that identifies compact, interpretable feature subspaces explaining ...
By merging bulk and single-cell RNA sequencing with machine learning and lab experiments, researchers have identified smooth muscle cells as ...
A new convolutional architecture called MRTFNet combines multi-resolution temporal embeddings with frequency-domain modeling to outperform Transformer-based models on most long-term ...
A 92-day Melbourne trial found that an AI-powered automated pollen counter matched manual microscopy for grass pollen and the low, ...
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© 2026 Scienmag - Science Magazine