Mass Generation of Programming Learning Problems from Public Code Repositories by Oleg Sychev, Dmitry Shashkov

Get full text

Fine-Tuning Retrieval-Augmented Generation with an Auto-Regressive Language Model for Sentiment Analysis in Financial Reviews by Miehleketo Mathebula, Abiodun Modupe, Vukosi Marivate

Get full text

Evaluation of an Artificial Intelligence Model for Identification of Intracranial Hemorrhage Subtypes on Computed Tomography of the Head by James M. Hillis, Bernardo C. Bizzo, Isabella Newbury‐Chaet, Sarah F. Mercaldo, John K. Chin, Ankita Ghatak, Madeleine A. Halle, Eric L'Italien, Ashley L. MacDonald, Alex S. Schultz, Karen Buch, John Conklin, Stuart Pomerantz, Sandra Rincon, Keith J. Dreyer, William A. Mehan

Get full text

Information as Interpretation: Measuring Learning Behavior for Knowledge Insight by Kensuke Takii, Changhao Liang, Hiroaki Ogata

Get full text

The effect of student acceptance on learning outcomes: AI-generated short videos versus paper materials by Yidi Zhang, Margarida Lucas, Pedro Bem-haja, Luís Pedro

Get full text

The Fractality of Sentiment Arcs for Literary Quality Assessment: the Case of Nobel Laureates by Yuri Bizzoni, Pascale Moreira, Mads Rosendahl Thomsen, Kristoffer L. Nielbo

Get full text

Multi-Stage Image Aesthetic Assessment via Chain-of-Thought Reasoning by Zhenglang Jiang, Jianhao Liu, Hongming Li, Yue Liu, Yu Song

“…Image Aesthetic Assessment (IAA) is an crucial task in computer vision, aiming to quantify the aesthetic quality of images. …”
Get full text

ToxDL 2.0: Protein toxicity prediction using a pretrained language model and graph neural networks by Lin Zhu, Yi Fang, Shuting Liu, Hong-Bin Shen, Wesley De Neve, Xiaoyong Pan

“…Traditional experimental methods for protein toxicity evaluation are time-consuming, expensive, and labor-intensive, highlighting the requirement for efficient computational approaches. Recent advancements in language models and deep learning have significantly improved protein toxicity prediction, yet current models often lack the ability to integrate evolutionary and structural information, which is crucial for accurate toxicity assessment of proteins. …”
Get full text

Leveraging generative AI for course learning outcome categorization using Bloom's taxonomy by Omaima Almatrafi, Aditya Johri

Get full text

Sentiment Analysis of Product Reviews Using Machine Learning and Pre-Trained LLM by Pawanjit Singh Ghatora, Seyed Ebrahim Hosseini, Shahbaz Pervez, Muhammad Javed Iqbal, Nabil Shaukat

“…Sentiment analysis via artificial intelligence, i.e., machine learning and large language models (LLMs), is a pivotal tool that classifies sentiments within texts as positive, negative, or neutral. …”
Get full text

Leveraging AI-enabled mobile learning platforms to enhance the effectiveness of English teaching in universities by Shanshan Guo, Huzaina Binti Abdul Halim, Mohd Rashid Bin Mohd Saad

Get full text

A systematic assessment of sentiment analysis models on iraqi dialect-based texts by Hafedh Hameed Hussein, Amir Lakizadeh

Get full text

Incremental learning algorithm for dynamic evolution of domain specific vocabulary with its stability and plasticity analysis by Mansi Jain, Harmeet Kaur, Bhavna Gupta, Jaya Gera, Vandana Kalra

Get full text

Unveiling Arabic named entity recognition using natural language processing with artificial intelligence approach on Moroccan dialect by Wala Bin Subait, Nazir Ahmad, Muhammad Swaileh A. Alzaidi, Mohammed Alqahtani, Asma A. Alhashmi, Nojood O. Aljehane, Mohammed Alshahrani, Shoayee Dlaim Alotaibi

Get full text

A FIT4NER Generic Approach for Framework-Independent Medical Named Entity Recognition by Florian Freund, Philippe Tamla, Frederik Wilde, Matthias Hemmje

Get full text

Exploring the Impact of Computer-Supported Input Flooding and Input Enhancement on EFL Learners' Collaborative Oral Performance in Blended and Virtual Classes by Mojtaba Khademi, Fatemeh hemmati, Farzaneh Khodabandeh, Malihe Mousavi

Get full text

Enhancing Propaganda Detection in Arabic News Context Through Multi-Task Learning by Lubna Al-Henaki, Hend Al-Khalifa, Abdulmalik Al-Salman

Get full text

Implementation strategy of multimodal literacy text as a means to optimize literacy in Indonesian language lessons for elementary school students by Dimas Teguh Saputra, Laili Etika Rahmawati, Markhamah Markhamah

“… Multimodal literacy texts in Indonesian language learning in primary schools are needed to improve students' literacy skills holistically, along with the demands of the digital era that require students to understand various forms of visual, audio and digital-based texts. …”
Get full text

A Detailed Comparative Analysis of Automatic Neural Metrics for Machine Translation: BLEURT & BERTScore by Aniruddha Mukherjee, Vikas Hassija, Vinay Chamola, Karunesh Kumar Gupta

Get full text

Analytic Hierarchy Process for an Automated Evaluation of Learning Difficulties of Novice Programmers by Salvatore Venticinque, Alba Amato, Pietro Fusco, Francesco Palmieri

Get full text