Text summarization based on semantic graphs: an abstract meaning representation graph-to-text deep learning approach
Springer » Journal of Big Data
by Panagiotis Kouris, Georgios Alexandridis and Andreas Stafylopatis
2d ago
Nowadays, due to the constantly growing amount of textual information, automatic text summarization constitutes an important research area in natural language processing. In this work, we present a novel frame ..read more
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Emotion AWARE: an artificial intelligence framework for adaptable, robust, explainable, and multi-granular emotion analysis
Springer » Journal of Big Data
by Gihan Gamage, Daswin De Silva, Nishan Mills, Damminda Alahakoon and Milos Manic
5d ago
Emotions are fundamental to human behaviour. How we feel, individually and collectively, determines how humanity evolves and advances into our shared future. The rapid digitalisation of our personal, social an ..read more
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Examining ALS: reformed PCA and random forest for effective detection of ALS
Springer » Journal of Big Data
by Abdullah Alqahtani, Shtwai Alsubai, Mohemmed Sha and Ashit Kumar Dutta
5d ago
ALS (Amyotrophic Lateral Sclerosis) is a fatal neurodegenerative disease of the human motor system. It is a group of progressive diseases that affects the nerve cells in the brain and spinal cord that control ..read more
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Exploring AI-driven approaches for unstructured document analysis and future horizons
Springer » Journal of Big Data
by Supriya V. Mahadevkar, Shruti Patil, Ketan Kotecha, Lim Way Soong and Tanupriya Choudhury
1w ago
In the current industrial landscape, a significant number of sectors are grappling with the challenges posed by unstructured data, which incurs financial losses amounting to millions annually. If harnessed eff ..read more
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New custom rating for improving recommendation system performance
Springer » Journal of Big Data
by Tora Fahrudin and Dedy Rahman Wijaya
2w ago
Recommendation system is currently attracting the interest of many explorers. Various new businesses have surfaced with the rise of online marketing (E-Commerce) in response to Covid-19 pandemic. This phenomen ..read more
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Optimization-based convolutional neural model for the classification of white blood cells
Springer » Journal of Big Data
by Tulasi Gayatri Devi and Nagamma Patil
2w ago
White blood cells (WBCs) are one of the most significant parts of the human immune system, and they play a crucial role in diagnosing the characteristics of pathologists and blood-related diseases. The charact ..read more
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Feature reduction for hepatocellular carcinoma prediction using machine learning algorithms
Springer » Journal of Big Data
by Ghada Mostafa, Hamdi Mahmoud, Tarek Abd El-Hafeez and Mohamed E. ElAraby
2w ago
Hepatocellular carcinoma (HCC) is a highly prevalent form of liver cancer that necessitates accurate prediction models for early diagnosis and effective treatment. Machine learning algorithms have demonstrated ..read more
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Advanced RIME architecture for global optimization and feature selection
Springer » Journal of Big Data
by Ruba Abu Khurma, Malik Braik, Abdullah Alzaqebah, Krishna Gopal Dhal, Robertas Damaševičius and Bilal Abu-Salih
2w ago
The article introduces an innovative approach to global optimization and feature selection (FS) using the RIME algorithm, inspired by RIME-ice formation. The RIME algorithm employs a soft-RIME search strategy ..read more
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Data oversampling and imbalanced datasets: an investigation of performance for machine learning and feature engineering
Springer » Journal of Big Data
by Muhammad Mujahid, EROL Kına, Furqan Rustam, Monica Gracia Villar, Eduardo Silva Alvarado, Isabel De La Torre Diez and Imran Ashraf
1M ago
The classification of imbalanced datasets is a prominent task in text mining and machine learning. The number of samples in each class is not uniformly distributed; one class contains a large number of samples ..read more
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Advancing machine learning with OCR2SEQ: an innovative approach to multi-modal data augmentation
Springer » Journal of Big Data
by Michael Lowe, Joseph D. Prusa, Joffrey L. Leevy and Taghi M. Khoshgoftaar
1M ago
OCR2SEQ represents an innovative advancement in Optical Character Recognition (OCR) technology, leveraging a multi-modal generative augmentation strategy to overcome traditional limitations in OCR systems. Thi ..read more
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