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Materials Discovery With Machine Learning and Knowledge Discovery [PDF]
Frontiers in Chemistry, 2022 Machine learning and other artificial intelligence methods are gaining increasing prominence in chemistry and materials sciences, especially for materials design and discovery, and in data analysis of results generated by sensors and biosensors.
Osvaldo N. Oliveira +1 more
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Predicting Treatment Outcomes Using Explainable Machine Learning in Children with Asthma
Children, 2021 Asthma in children is a heterogeneous disease manifested by various phenotypes and endotypes. The level of disease control, as well as the effectiveness of anti-inflammatory treatment, is variable and inadequate in a significant portion of patients.
Mario Lovrić +5 more
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New Trends in Artificial Intelligence for Recommender Systems and Collaborative Filtering
Applied Sciences, 2023 In recent times, recommender systems (RSs) have been attracting a lot of attention from the research community because of their groundbreaking applications [...]
Diego Pérez-López +3 more
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Information, 2023 Superficially, read and spontaneous speech—the two main kinds of training data for automatic speech recognition—appear as complementary, but are equal: pairs of texts and acoustic signals. Yet, spontaneous speech is typically harder for recognition. This
Philipp Gabler +3 more
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Assessment of Immune Status Using Inexpensive Cytokines: A Literature Review and Learning Approaches
Sensors, 2022 The emergence of point-of-care (POC) testing has lately been promoted to deliver rapid, reliable medical tests in critical life-threatening situations, especially in resource-limited settings.
Noor Jamaludeen +6 more
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IEEE Access, 2022 Fraudulent financial statements (FFS) are the results of manipulating financial elements by overvaluing incomes, assets, sales, and profits while underrating expenses, debts, or losses.
Matin N. Ashtiani, Bijan Raahemi
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Bio-Inspired Feature Selection Algorithms With Their Applications: A Systematic Literature Review
IEEE Access, 2023 Based on the principles of the biological evolution of nature, bio-inspired algorithms are gaining popularity in developing robust techniques for optimization.
Tin H. Pham, Bijan Raahemi
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Applied Sciences, 2023 Recommender systems are challenged with providing accurate recommendations that meet the diverse preferences of users. The main information sources for these systems are the utility matrix and textual sources, such as item descriptions, users’ reviews ...
Thi-Linh Ho, Anh-Cuong Le, Dinh-Hong Vu
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Demographics and Personality Discovery on Social Media: A Machine Learning Approach
Information, 2021 This research proposes a new feature extraction algorithm using aggregated user engagements on social media in order to achieve demographics and personality discovery tasks. Our proposed framework can discover seven essential attributes, including gender
Sarach Tuomchomtam +1 more
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Enhancing Conversational Model With Deep Reinforcement Learning and Adversarial Learning
IEEE Access, 2023 This paper develops a Chatbot conversational model that is aimed to achieve two goals: 1) utilizing contextual information to generate accurate and relevant responses, and 2) implementing strategies to make conversations human-like.
Quoc-Dai Luong Tran +2 more
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