Results 81 to 90 of about 250,329 (273)

Fault Localization from the Semantic Code Search Perspective

ACM Transactions on Software Engineering and Methodology
The software development process is characterized by an iterative cycle of continuous functionality implementation and debugging, essential for the enhancement of software quality and adaptability to changing requirements. This process incorporates two isolatedly studied tasks: Code Search (CS), which retrieves reference code from a code ...
Yihao Qin, Shangwen Wang, Yan Lei, Zhuo Zhang, Bo Lin, Xin Peng, Jun Ma, Liqian Chen, Xiaoguang Mao   +8 more
openaire   +3 more sources

Interpreting Arabic Transformer Models: A Study on XAI Interpretability for Quranic Semantic Search Models

Jordanian Journal of Computers and Information Technology
Transformers have shown their effectiveness in various machine learning tasks. However, their "black box" nature often obscures their decision-making processes, particularly in Arabic, posing a barrier to their broader adoption and trust.
Ahmad M. Mustafa, Saja Nakhleh, Rama Irsheidat, Raneem Alruosan   +3 more
doaj   +1 more source

Composite Correlation Quantization for Efficient Multimodal Retrieval

, 2016
Efficient similarity retrieval from large-scale multimodal database is pervasive in modern search engines and social networks. To support queries across content modalities, the system should enable cross-modal correlation and computation-efficient ...
Besag J., Wang J., Wang Q., Weiss Y., Wu B., Zhang D., Zhang T., Zhao F., Zhen Y.   +8 more
core   +1 more source

Leveraging Artificial Intelligence and Large Language Models for Cancer Immunotherapy

Advanced Science, EarlyView.
Cancer immunotherapy faces challenges in predicting treatment responses and understanding resistance mechanisms. Artificial intelligence (AI) and machine learning (ML) offer powerful solutions for cancer immunotherapy in patient stratification, biomarker discovery, treatment strategy optimization, and foundation model development.
Xinchao Wu, Mengtao Sun, Lusheng Li, Jieqiong Wang, Shibiao Wan   +4 more
wiley   +1 more source

Steps Towards Semantic Code Search

, 2021
Code search can be a core activity in software development for enhancing productivity. Developers commonly reuse existing source code fragments by searching for codebases available in local or global repositories. Code search helps developers ease the implementation by supplying code snippets to reuse or understand specific concepts deeper during ...
openaire   +1 more source

LLM Agents Improve Semantic Code Search

Code Search is a key task that many programmers often have to perform while developing solutions to problems. Current methodologies suffer from an inability to perform accurately on prompts that contain some ambiguity or ones that require additional context relative to a code-base. We introduce the approach of using Retrieval Augmented Generation (RAG)
Jain, Sarthak, Dora, Aditya, Sam, Ka Seng, Singh, Prabhat   +3 more
openaire   +2 more sources

INB3P: A Multi‐Modal and Interpretable Co‐Attention Framework Integrating Property‐Aware Explanations and Memory‐Bank Contrastive Fusion for Blood–Brain Barrier Penetrating Peptide Discovery

Advanced Science, EarlyView.
INB3P is a multimodal framework for blood–brain barrier‐penetrating peptide prediction under extreme data scarcity and class imbalance. By combining physicochemical‐guided augmentation, sequence–structure co‐attention, and imbalance‐aware optimization, it improves predictive performance and interpretability.
Jingwei Lv, Qianyang Wu, Jian Liu, Binlu Yang, Yuanhao Li, Junlin Xu, Yajie Meng, Leyi Wei, Zilong Zhang, Quan Zou, Xiulai Li, Feifei Cui   +11 more
wiley   +1 more source

A Metadata-Enabled Scientific Discourse Platform [PDF]

, 2010
Scientific papers and scientific conferences are still, despite the emergence of several new dissemination technologies, the de-facto standard in which scientific knowledge is consumed and discussed.
Chenu-Abente, Ronald, Giunchiglia, Fausto, Kharkevich, Uladzimir, Xu, Hao   +3 more
core  

The Role of Artificial Intelligence in Medication Management for Older Adults: A Systematic Review

AGING MEDICINE, EarlyView.
Artificial intelligence enhances medication management for older adults by improving adherence, personalizing treatment, and predicting risks. Despite benefits, challenges remain in usability, trust, ethics, and system integration. Successful adoption requires user‐centered design, ethical safeguards, and seamless healthcare integration to ensure safe,
Dipak Chandra Das, Moustaq Karim Khan Rony, Shovit Dutta, MD. Sami Al Zubair Zujbe, Tapan Bhattacharjee, Niloy Debnath, Shabbir Abdullah Maruf, Chowdhury Galib Mortuza, Farhana Rahman, Akash Das   +9 more
wiley   +1 more source

Disentangling the relationships between denomination of origin regulatory councils activities and Spanish wineries' export performance

Agribusiness, EarlyView.
Abstract World markets for quality differentiated agri‐food products are highly competitive, presenting significant challenges for firms aiming to compete effectively. Government agencies and business organizations often implement various export promotion policies to address these challenges.
Nicolás Depetris‐Chauvin, Marta Fernández‐Olmos   +1 more
wiley   +1 more source