Learning from potential disinformation introduces specific cognitive biases, causing individuals to systematically deviate from an idealized Bayesian updating strategy.
Researchers have developed a new "emotionally aware" AI-based model for classifying mental health conditions, which could ...
Bayesian classification techniques form a cornerstone of data mining, combining probabilistic modelling with statistical inference to deliver transparent and computationally efficient classifiers. At ...
In light of recent global shocks and rising external volatility, there is a growing need to effectively monitor short-term economic fluctuations, especially in countries with limited access to ...
Email is a vital tool for communication in today’s world; however, spam emails have emerged as a major challenge. These unsolicited messages from unknown sources often fill inboxes, disrupting ...
ABSTRACT: Since transformer-based language models were introduced in 2017, they have been shown to be extraordinarily effective across a variety of NLP tasks including but not limited to language ...
Abstract: Multi-robot systems offer significant advantages for autonomously exploring large-scale, unknown environments. A critical challenge in these applications, however, is ensuring the safety of ...
Abstract: Human activity recognition (HAR) has been gaining attention in recent years as a result of its many applications in health, sports, entertainment, and surveillance. Due to the current ...
Identifying lithology is crucial for geological exploration, and the adoption of artificial intelligence is progressively becoming a refined approach to automate this process. A key feature of this ...
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