Results 11 to 20 of about 59,683 (118)

NASca and NASes: Two Monolingual Pre-Trained Models for Abstractive Summarization in Catalan and Spanish

Applied Sciences, 2021
Most of the models proposed in the literature for abstractive summarization are generally suitable for the English language but not for other languages.
Vicent Ahuir, Lluís-F. Hurtado, José Ángel González, Encarna Segarra   +3 more
doaj   +1 more source

Multimodal Classification of Teaching Activities from University Lecture Recordings

Applied Sciences, 2022
The way of understanding online higher education has greatly changed due to the worldwide pandemic situation. Teaching is undertaken remotely, and the faculty incorporate lecture audio recordings as part of the teaching material. This new online teaching–
Oscar Sapena, Eva Onaindia
doaj   +1 more source

Is Your Model Sensitive? SPEDAC: A New Resource for the Automatic Classification of Sensitive Personal Data

IEEE Access, 2023
In recent years, there has been an exponential growth of applications, including dialogue systems, that handle sensitive personal information. This has brought to light the extremely important issue of personal data protection in virtual environments ...
Gaia Gambarelli, Aldo Gangemi, Rocco Tripodi   +2 more
doaj   +1 more source

Transformer-Based Deep Learning Model for Coffee Bean Classification

Journal of Applied Informatics and Computing
Coffee is one of the most popular beverage commodities consumed worldwide. The process of selecting high-quality coffee beans plays a vital role in ensuring that the resulting coffee has superior taste and aroma.
Imam Ekowicaksono, I Wayan Wiprayoga Wisesa, Vita Fitriani   +2 more
doaj   +1 more source

Evaluating the Effectiveness of Time Series Transformers for Demand Forecasting in Retail

Mathematics
This study investigates the effectiveness of Transformer-based models for retail demand forecasting. We evaluated vanilla Transformer, Informer, Autoformer, PatchTST, and temporal fusion Transformer (TFT) against traditional baselines like AutoARIMA and ...
José Manuel Oliveira, Patrícia Ramos
doaj   +1 more source

Multiple objectives escaping bird search optimization and its application in stock market prediction based on transformer model

Scientific Reports
Stock market prediction has long attracted the attention of academia and industry due to its potential for substantial financial returns. Despite the availability of various forecasting methods, such as CNN, LSTM, BiLSTM, GRU, and Transformer, the ...
Dedai Wei, Zimo Wang, Minyu Qiu, Juntao Yu, Jiaquan Yu, Yurun Jin, Xinye Sha, Kaichen Ouyang   +7 more
doaj   +1 more source

Hybrid Transformer Architectures With Diverse Audio Features for Deepfake Speech Classification

IEEE Access
The rise of synthetic speech technologies has triggered growing concerns about the increasing difficulty in distinguishing between real and fake voices.
Khalid Zaman, Islam J. A. M. Samiul, Melike Sah, Cem Direkoglu, Shogo Okada, Masashi Unoki   +5 more
doaj   +1 more source

A Study on Deep Learning Performances of Identifying Images’ Emotion: Comparing Performances of Three Algorithms to Analyze Fashion Items

Applied Sciences
Emotion recognition using AI has garnered significant attention in recent years, particularly in areas such as fashion, where understanding consumer sentiment can drive more personalized and effective marketing strategies.
Gaeun Lee, Seoyun Yi, Jongtae Lee
doaj   +1 more source

Transformers in EEG Analysis: A Review of Architectures and Applications in Motor Imagery, Seizure, and Emotion Classification

Sensors
Transformers have rapidly influenced research across various domains. With their superior capability to encode long sequences, they have demonstrated exceptional performance, outperforming existing machine learning methods.
Elnaz Vafaei, Mohammad Hosseini
doaj   +1 more source

Natural Language Processing for Sentiment Analysis in Socialmedia Techniques and Case Studies [PDF]

ITM Web of Conferences
Social media platforms have become a significant medium for expressing opinions, emotions, and sentiments, making sentiment analysis a crucial task in Natural Language Processing (NLP).
Veluswamy Anusha Sowbarnika, A Nagamani, M SilpaRaj, D Yobu, M Ashwitha, V Mangaiyarkaras   +5 more
doaj   +1 more source