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Dynamic instance weighting boosts online learning for multi-cryptocurrency
4+ day, 21+ hour ago (76+ words) Cryptocurrencies are famous for their volatility, and that volatility has long been both a lure and a nightmare for anyone trying to predict where prices will go next. Now, a team of researchers in Italy and Slovenia has developed a…...
Topic-Sentiment Integration Enhances Social Network Communities Through
2+ week, 4+ day ago (694+ words) Content-Enriched Leiden Clustering Bioengineer.org...
Econometric and machine learning models improve volatility forecasting with
1+ week, 3+ day ago (61+ words) In the high-stakes world of financial forecasting, the assumption that bigger models and more data always yield better predictions has long gone unchallenged. But a new study published in Neural Computing and Applications turns that assumption on its head, demonstrating…...
Deep Learning Models Compared for Multi-Touch Attribution in Online
1+ week, 3+ day ago (861+ words) The digital advertising industry runs on a deceptively simple question: when a consumer clicks “buy,” which of the many advertisements they encountered along the way actually deserves the credit? A new comparative study, published in Information Systems Frontiers by researchers…...
M2IND spotlights manufacturing hurdles facing modern industry
5+ day, 10+ hour ago (950+ words) Bioengineer.org...
Graph-based social recommender suppresses redundant information for better
6+ day, 1+ hour ago (53+ words) Social media platforms have long promised that the people we connect with online can help us discover the things we will love next. The logic seems obvious: friends tend to share tastes, so what your friends like, you will probably…...
Recurrent networks with optimized metaheuristics detect click fraud
1+ week, 1+ day ago (33+ words) instances Bioengineer.org Subject of Research: Detection of click fraud in online advertising using recurrent neural networks whose hyperparameters are optimized by a modified metaheuristic algorithm....
New SHAP-McNemar feature selection method boosts machine learning credit
2+ week, 1+ day ago (85+ words) risk models Bioengineer.org The Algorithm That Explains Itself: Researchers Fuse Game Theory With a 1955 Statistics Test to Make AI Loan Decisions Trustworthy Subject of Research: A stepwise feature selection framework for machine learning-based credit risk modeling that integrates SHAP-based…...
Distilled sparsity-adaptive Mamba model boosts sequential recommendation
4+ day, 10+ hour ago (57+ words) Sequential recommendation systems—the algorithms that predict what a user will click, buy, or watch next based on the history of their past interactions—have long been dominated by stacked Transformer architectures. But a new study argues that these attention-heavy…...
Diamond-Studded Alloy Coating Delivers Dramatic Wear Resistance
1+ day, 7+ hour ago (70+ words) Scientists in China have found a way to lock superhard diamond particles into a high-entropy alloy coating so effectively that the material’s wear loss drops by more than 16 percent and its wear volume by over 40 percent compared with the alloy…...