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ORCID25th IRI 2025: San Jose, CA, USA
- 25th IEEE International Conference on Information Reuse and Integration and Data Science, IRI 2025, San Jose, CA, USA, August 6-8, 2025. IEEE 2025, ISBN 979-8-3315-9944-7
- A. A. Talha Talukder, Omar Alam, Akramul Azim:
Leveraging LLMs for Automatic Feature Extraction in Embedded Systems to Support Software Reuse. 1-6 - Naga Mamata Iluru, Nan Niu, Yitong Yang, Yinglin Wang:
A Meta-Learning Approach to Generating Functional Descriptions of Graphical User Interfaces. 7-12 - Viet-Anh Le-Minh, Hai Anh Tran, Huy-Hieu Nguyen, Nam-Thang Hoang, Truong X. Tran:
GRFuzz: A Deep Reinforcement Learning Approach to Python Library Fuzzing with GRPO. 13-18 - Shree Raksha Arsikere Pattabhi Ramu, Sandeep Reddivari:
Change Impact Analysis Using Machine Learning: A Systematic Literature Review. 19-24 - Daniel Knight, Tanmay Bhowmik:
Evaluation of a Conceptual Framework for the Resilience of Unit Test Suites to Refactoring. 25-30 - Jugal Gajjar, Kamalasankari Subramaniakuppusamy, Noha El Kachach:
MalCodeAI: Autonomous Vulnerability Detection and Remediation via Language Agnostic Code Reasoning. 31-36 - Shaian Khan, Mohammadreza Akbari Lor, Shu-Ching Chen, Mei-Ling Shyu, Amy Christiansen:
STCN-Ozone: A Graph-Based Spatiotemporal Forecasting Framework for Modeling Tropospheric Ozone. 37-42 - Nicholas Woolsey, Eric Rohli, David Sathiaraj:
An AI-Based Methodology for Digitizing Historical Tabular Data with High Accuracy. 43-48 - Muhy Eddin Za'ter, Sandy Yacoub Miguel, Majd Ghazi Batarseh:
Online Projected Gradient Descent for Grid Regulated Power Point Tracking Under Highly Fluctuating Weather and Load. 49-54 - Sangkeun Matthew Lee, Supriya Chinthavali, Narayan Bhusal, Viswadeep Lebakula, Jacob Morris, Giri Iyer:
Evaluating Multi-Weather Impacts on the U.S. Power Grid Reliability. 55-60 - Jainil Anilkumar Patel, Mohammadreza Akbari Lor, Shu-Ching Chen, Mei-Ling Shyu, Steven Luis
:
Media Impact Index for Disaster Vulnerability Assessment: A Thematic Classification and Vulnerability Indexing Framework. 61-66 - Jacob Morris, Sangkeun Matthew Lee, Supriya Chinthavali, Narayan Bhusal, Nasir Ahmed, Giri Iyer:
HexWeather: Hexagonal Spatial Data Aggregation for Weather-Driven Grid Resilience Analysis. 67-72 - Xiaoke Jia, Chad Roller, Chenggang Wang:
LLM-Rank: An Unsupervised Keyword Extraction Method Using Local Large Language Models. 73-78 - Victor Wen, Zedong Peng, Yusi Chen:
The AI Imitation Game: A Cognitive Comparison of Mimicry in Large Language Models. 79-84 - Devon L. Brown, Danda B. Rawat, Melissa C. LaDuke, Brian J. Lanigan:
Benchmarking Fine-Tuning Strategies for LLaMA: A Multi-Dimensional Evaluation for National Security Contexts. 85-90 - Esmaeil Shakeri, Behrouz H. Far:
Accelerating Drug Discovery with Deep Reinforcement Learning: Molecular Generation Using Deep Q-Network. 91-96 - Shrooq Algarni, Frederick T. Sheldon:
Course Recommender System Using Hybrid Machine Learning for Higher Education. 97-103 - Nicola Raffaele Di Mateo:
Automatic Scientific Discoveries Using a Public Collection of Characterized Semantic Predications. 104-109 - Calton Pu, Anmol Agarwal, Tianyu Chen, Lewis Faulk:
Information Integration in Social Science Research: Advances with LLMs in the NAIP Project. 110-115 - Lige Gan, Xiao Yue, Bryan Sandoval, Michael Boyd, Guangzhi Qu:
An Explainable AI Framework for Wire Crimping Specification Prediction and Toolset Family Identification. 116-121 - Hamza Ben Alla, Lydia Bouzar-Benlabiod:
Early Detection of Alzheimer's Using MRIs and Explainable 3D CNNs. 122-127 - Yina Hou, Shourav B. Rabbani, Liang Hong, Norou Diawara, Manar D. Samad:
Causal Explainability of Machine Learning in Heart Failure Prediction from Electronic Health Records. 128-134 - Saumya Dabhi, Faryaneh Poursardar:
Enhancing RAG with Domain-Specific Knowledge Graphs for Accurate Medical Data Retrieval. 135-136 - Rachel Lewis, Noah Tsigonis, Arghya Kusum Das:
Integrating Water Data to Empower Alaska's Rural Communities. 137-142 - Brennan Miller, Abdul Anouti, Erika Ardiles-Cruz, Yan Lu:
Physics-Informed Deep Learning with GLCM-Integrated Loss for Building Damage Assessment Using Remote Sensing. 143-147 - Khanh Linh Nguyen, Abishek Vijjeswarapu, Tapadhir Das, Houman Habibkhani:
Hierarchical ML for Adversarial Resiliency in Autonomous Vehicular Traffic Sign Recognition. 148-153 - Sungbin Im, Joonhwi Kim, Jungyu Choi, Jonghoon Lee, Taeeon Kwon, Byeongseop Park:
Design and Development of an Intelligent Search and Rescue System with Advanced Noise Reduction and Robust Localization. 154-155 - Lawrence Obiuwevwi, Krzysztof J. Rechowicz, Vikas Ashok, Sampath Jayarathna:
Toward Affordable and Non-Invasive Detection of Hypoglycemia: A Machine Learning Approach. 156-161 - K. M. Sajjadul Islam, Ayesha Siddika Nipu, Jiawei Wu, Praveen Madiraju:
LLM-Based Prompt Ensemble for Reliable Medical Entity Recognition from EHRs. 162-167 - Nevzat U. Demirseren, Sandeep Reddivari:
Tuned4You: A Machine Learning-Based Music Scoring Tool Using Health Data. 168-169 - Dileep Kumar Tellakula, Xiaoliang Wang:
Risk Factor Prediction of Chronic Kidney Disease. 170-171 - Akarsh K. Nair, Shanik Hubert Satheesh Kumar, Deepti Gupta:
Androids: Android-Based Intrusion Detection System Using Federated Learning. 172-177 - Huy-Hieu Nguyen, Nam-Thang Hoang, Hai Anh Tran, Tulika Mandal, Ruthvik Annareddy, Prithvi Choudhary, Truong X. Tran:
Efficient Federated Learning Convergence with Epoch Adaptation. 178-183 - Xiaohuan Bi, Xi Li:
Securing Federated Learning Against Backdoor Threats with Foundation Model Integration. 184-189 - Likhitha Annapurna Kavuri, Akshay Mhatre, Akarsh K. Nair, Deepti Gupta:
SecureFed: A Two-Phase Framework for Detecting Malicious Clients in Federated Learning. 190-195 - Yang Zhang, Yuan Feng, Yi Shang:
Self-Rectification Faster R-CNN: Enhancing Object Detection in Complex-Background Aerial Images. 196-201 - AKM Shahariar Azad Rabby, Chengcui Zhang:
dCrack: Enhancing Fine-Grained Crack Segmentation with Edge-Guided Attention. 202-207 - Zhenduo Zhai, Zhiguang Liu, Shiqi Wang, Yi Shang:
P-KESS: A Prior-Knowledge Enforced Semantic Segmentation Pipeline for UAV Imagery River Habitat Segmentation. 208-213 - Seung Yeop Ha, Jun-Seok Yun, Seung-Kyum Choi, Min Su Kim, Sanga Lee, Hong-In Won, Jong Pil Yun:
Text Coherence Based Test-Time Adaptation for Collaborative Robot Segmentation. 214-215 - Naciye Celebi, Qingzhong Liu:
Spatiotemporal Deepfake Video Detection: A Hybrid CNN-Transformer Approach with Frequency Analysis. 216-221 - Zahra Salekshahrezaee, Taghi M. Khoshgoftaar:
The Impact of Class Imbalance on Unsupervised Deep Anomaly Detection for Cognitive Data. 222-227 - Brittany Boles, Clemente Izurieta, Ann Marie Reinhold:
Connecting the Dots: An Integrated Vulnerability Knowledge Graph for Security Practitioners. 228-233 - Falong Fan, Xi Li:
PeerGuard: Defending Multi-Agent Systems Against Backdoor Attacks Through Mutual Reasoning. 234-239 - Jun-Yu Wu, Min-Yuh Day:
Med-TAMARA: Trust-Aware Multi-Agent Risk Assessment in Medical AI Dialogue. 240-245 - Chuan-Jie Lin, Li-May Sung, Chun-Kai Yang, Bo-Yi Jin:
Formosan Language Morphological Analyzer. 246-249 - Shih-Hung Wu, Tsung-Hsun Tsai:
Fine-Tuned Models for Hate Speech Detection: Assessing Generalization on Social Media. 250-255 - Duang-Kamol Buranasomphop:
Explainable Patterns of LLM Funding Behavior in Startup Funding Decisions. 256-259 - Yu-An Lin, Chao-Yin Lin, Yue-Shan Chang, Chen-Yu Chiang, Min-Yuh Day:
From Silence to Voice: Using Personalized AI Language Models to Improve Quality of Life for People with Speech Impediments. 260-263 - Po-Han Lee, Yu-Cheng Lin, Chan-Tung Ku, Chan Hsu, Pei-Cing Huang, Ping-Hsun Wu, Yihuang Kang:
LLM-Based Agents for Automated Confounder Discovery and Subgroup Analysis in Causal Inference. 265-270 - Jung-Hua Wang, Chang-Hong Wu, Ming-Jer Chen, Yu-Chiao Yi, Huai-Wen Chang, Rong-Yu Wu:
Quality Assessment of Embryo Development Based on EM-Aided Collaborative Learning. 271-276 - Peng-Yi Wu, Pei-Cing Huang, Ting-Yu Chen, Chantung Ku, Ming-Yen Lin, Yihuang Kang:
Towards Interpretable Renal Health Decline Forecasting via Multi-LMM Collaborative Reasoning Framework. 277-282 - Joy Ndirangu, Lydia Bouzar-Benlabiod:
Integrating Interpretability into Deep Learning Models for Mammogram-Based Breast Cancer Detection. 283-288 - Sulaiman Khan, Zubair Shah:
Longitudinal Analysis of Diabetes-Respiratory Distress Connections in Multimodal QBB Data Using Artificial Intelligence. 289-294 - Zahra Salekshahrezaee, Taghi M. Khoshgoftaar:
Unsupervised Cognitive Impairment Detection Using Convolutional Autoencoders and Isolation Forest. 295-300 - John T. Hancock, Robert K. L. Kennedy, Mary Anne Walauskis, Taghi M. Khoshgoftaar:
A New and Effective Technique for Unsupervised Labeling and Feature Selection with Applications in Healthcare Fraud Detection. 301-306 - Hsien-Tsung Lin, Pei-Cing Huang, Chan-Tung Ku, Chan Hsu, Pei-Xuan Shieh, Yihuang Kang:
Towards Simulating Social Influence Dynamics with LLM-Based Multi-Agents. 307-312 - Parag Anil Tamhankar, Nishchay Rikunj Patel, Manish Chowdary Kolla:
MultiRAG: A Fuzzy Logic-Driven Multi-Granularity Framework for Legal Document Generation. 313-318 - Somayeh Modaberi, Behrouz H. Far:
Benchmarking Transformer and Sequence Models for UWB Indoor Localization. 319-324 - Jessica Rawson, Sandeep Reddivari:
A ChatGPT-Powered Tool for Automating Context-Aware Acceptance Criteria Generation for User Stories. 325-330 - Harrison Thayer, Anand Panangadan:
zSHIFT: A Siamese Hierarchical Transformer Network for Zero Shot Time Series Forecasting. 331-336 - Kumushini Thennakoon, Yasasi Abeysinghe, Bhanuka Mahanama, Vikas Ashok, Sampath Jayarathna:
Beyond Gaze Overlap: Analyzing Joint Visual Attention Dynamics Using Egocentric Data. 337-342 - Bhanuka Mahanama, Vikas Ashok, Sampath Jayarathna:
Unsupervised Domain Adaptation for Appearance-Based Gaze Estimation. 343-348 - Zikun Fu, Chen Yang, Kourosh Davoudi, Ken Q. Pu:
Database Entity Recognition with Data Augmentation and Deep Learning. 349-354 - Mohammed Ouali, Radhwane Gherbaoui, Nacéra Benamrane:
Fusion-Based Clustering with Interaction Rate for Imbalanced and Chained Structures. 355-360 - Hammad Sheikh, Kiran George, Tabashir Nobari, Anand Panangadan:
Design and Development of a Real-Time Camera-Based Smart Cooking Assistant. 361-366 - Divya Tanwar, Tabashir Nobari, Pia Chaparro, Anand Panangadan:
Quantitative Evaluation of AI-Generated Recipes for Health Recommender Systems. 367-372 - Madison H. Munro, Manuel Ruiz-Aravena, Elizabeth A. Shanahan, Savanna Washburn, Ann Marie Reinhold:
Integrating Computational Text Analysis into Risk and Crisis Communication Development. 373-378
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last updated on 2025-11-26 00:46 CET by the dblp team
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