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ORCID25th WISE 2024: Doha, Qatar - Part IV
- Mahmoud Barhamgi
, Hua Wang, Xin Wang:
Web Information Systems Engineering - WISE 2024 - 25th International Conference, Doha, Qatar, December 2-5, 2024, Proceedings, Part IV. Lecture Notes in Computer Science 15439, Springer 2025, ISBN 978-981-96-0572-9
Learning and Optimization
- Takumi Ito, Atsuki Maruta, Makoto P. Kato, Sumio Fujita:
PR-Rank: A Parameter Regression Approach for Learning-to-Rank Model Adaptation Without Target Domain Data. 3-18 - Hongtao Sun, Libin Zheng, Jian Yin:
Weighted Linear Regression with Optimized Gap for Learned Index. 19-33 - Kai Liu, Mengting Song, Wenjie Xu, Keyao Li, Min Peng, Gang Tian:
TAKE: Tracing Associative Empathy Keywords for Generating Empathetic Responses Based on Graph Attention. 34-48 - Senthil Ganesan Yuvaraj, Boualem Benatallah, Hamid Reza Motahari-Nezhad, Fethi Rabhi:
Intent Identification Using Few-Shot and Active Learning with User Feedback. 49-59 - Abdullah Alsuhaibani, Imran Razzak, Shoaib Jameel, Xianzhi Wang, Guandong Xu:
CLIMB: Imbalanced Data Modelling Using Contrastive Learning with Limited Labels. 60-75 - Ye Lu, Ji Zhang, Ting Yu, Gaoming Yang:
Equivariant Diffusion-Based Sequential Hypergraph Neural Networks with Co-attention Fusion for Information Diffusion Prediction. 76-89 - Mohammad Zavid Parvez, Md. Rafiqul Islam, Md Zahid Islam:
CL3: A Collaborative Learning Framework for the Medical Data Ensuring Data Privacy in the Hyperconnected Environment. 90-100 - Nadir Guermoudi, Houcine Matallah, Amin Mesmoudi, Seif-Eddine Benkabou, Allel Hadjali:
Selectivity Estimation for Spatial Filters Using Optimizer Feedback: A Machine Learning Perspective. 101-115 - Benjamin Zi Hao Zhao, Junda Lu, Xiaowei Zhou, Dinusha Vatsalan, Muhammad Ikram, Mohamed Ali Kâafar:
On Adversarial Training with Incorrect Labels. 116-132 - Moncef Garouani, Franck Ravat, Nathalie Vallès-Parlangeau:
Model Lake : A New Alternative for Machine Learning Models Management and Governance. 133-144 - Zi-Yang Bo, Dan-Ting Duan, Qiang Yang, Xu-Dong Gao, Peilan Xu, Xin Lin, Zhen-Yu Lu, Jun Zhang:
A Benchmark Test Suite for Multiple Traveling Salesmen Problem with Pivot Cities. 145-157
Large Language Models and Their Applications
- Ruoyu Wang, Xiaoxuan Li, Lina Yao:
Deconfounded Causality-Aware Parameter-Efficient Fine-Tuning for Problem-Solving Improvement of LLMs. 161-176 - Xiaoxuan Li, Yao Liu, Ruoyu Wang, Lina Yao:
Regularized Multi-LLMs Collaboration for Enhanced Score-Based Causal Discovery. 177-188 - Muhammad Mudassar Yamin, Ehtesham Hashmi, Basel Katt:
Combining Uncensored and Censored LLMs for Ransomware Generation. 189-202 - Sharjeel Tahir, Jumana Abu-Khalaf, Syed Afaq Ali Shah, Judith Johnson:
Therapying Outside the Box: Innovating the Implementation and Evaulation of CBT in Therapeutic Artificial Agents. 203-213 - Yassir Lairgi, Ludovic Moncla, Rémy Cazabet, Khalid Benabdeslem, Pierre Cléau:
iText2KG: Incremental Knowledge Graphs Construction Using Large Language Models. 214-229 - Yuan-Chen Chang, Esma Aïmeur:
"Is this Site Legit?": LLMs for Scam Website Detection. 230-245 - Omar Mussa, Omer Farooq Rana, Benoit Goossens, Pablo Orozco ter Wengel, Charith Perera:
Towards Enhancing Linked Data Retrieval in Conversational UIs Using Large Language Models. 246-261 - Ahmad Sakor, Kuldeep Singh, Maria-Esther Vidal:
BioLinkerAI: Capturing Knowledge Using LLMs to Enhance Biomedical Entity Linking. 262-272 - Ada Bagozi, Devis Bianchini, Michele Melchiori, Anisa Rula:
Enhancing LLMs Contextual Knowledge with Ontologies for Personalised Food Recommendation. 273-283 - Shuting Yang, Zehui Liu, Wolfgang Mayer, Ningpei Ding, Ying Wang, Yu Huang, Pengfei Wu, Wanli Li, Lin Li, Hong-Yu Zhang, Zaiwen Feng:
ShizishanGPT: An Agricultural Large Language Model Integrating Tools and Resources. 284-298
AI Applications
- Weichen Bi, Zijian Shao, Yudong Han, Jiaqi Du, Yuan Wei, Lijuan Guo, Tianchen Wu, Shuang Li, Yun Ma:
Web-Based AI Assistant for Medical Imaging: A Case Study on Predicting Spontaneous Preterm Birth via Ultrasound Images. 301-312 - Xiaohan Zhang, Xiaolong Chen, Wei Han, Xiaohui Huang, Yunliang Chen, Jianxin Li, Lizhe Wang:
Satellite-Driven Deep Learning Algorithm for Bathymetry Extraction. 313-325 - Ubaid Azam, Imran Razzak, Shelly Vishwakarma, Hakim Hacid, Dell Zhang, Shoaib Jameel:
Would You Trust an AI Doctor? Building Reliable Medical Predictions with Kernel Dropout Uncertainty. 326-337 - Seyed Shahabadin Nasabeh, Santiago Meliá, Barbara Leporini, Diana Gadzhimusieva:
Empowering Visual Navigation: A Deep-Learning Solution for Enhanced Accessibility and Safety Among the Visually Impaired. 338-348 - Laldja Ziani, Anis Chawki Abbes, Mohamed Essaid Khanouche, Parisa Ghodous:
A Transformer and LSTM Model for Electricity Consumption Forecasting and User's Behavior Influence. 349-363 - Amal Alharbi, Samaher Alozayri:
Enhancing Customer Service Efficiency in the Holy Makkah Municipality Using Machine Learning. 364-374 - Mohammad Mominur Rahman, Areej Babiker, Raian Ali:
Motivation, Concerns, and Attitudes Towards AI: Differences by Gender, Age, and Culture. 375-391 - Amjad Rattrout, Hussein Younis, Ahmad Bsiesy:
DefectClassifierX: A Cross-Platform Automated Pattern Classification System for Wafer Defects. 392-405 - Ibtissem Khedher, Nora Faci, Sami Faïz:
Safe-Path: A Perspective on Next-Generation Road Safety Recommendations. 406-420 - Angela Moufarrej, Abdulkader Fatouh, Joe Tekli:
Unsupervised and Dynamic Dendrogram-Based Visualization of Medical Data. 421-439 - Asma Mansour, Olfa Besbes, Takoua Abdellatif:
Federated Deep Learning Models for Stroke Prediction. 440-454
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