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ICDM 2025: Washington, DC, USA - Workshops
- IEEE International Conference on Data Mining, ICDM 2025 - Workshops, Washington, DC, USA, November 12-15, 2025. IEEE 2025, ISBN 979-8-3315-8132-9
- Chenyang Li, Qin Li, Haimin Wang, Bo Shen:
Improving the Spatial Resolution of Gong Solar Images to GST Quality Using Deep Learning. 1-5 - Jeremy W. Turner, Cameron D. DiSomma, Xuechen Zhang, Lei Fan, Xiaokun Yang:
Hardware Generation for Quantum Gate Emulation and Acceleration. 1-6 - Anukesh Krishnankutty Ambika, Kshitij Tayal, Dan Lu:
FFTSF: Revisiting Sub-Seasonal Streamflow Forecasting with Simple Feedforward Network. 1-6 - Fanglue Zhang, Shufan Shen, Chao Bi, Li Su, Qingming Huang, Shuhui Wang:
SVDLoRA: Data-Driven Low-Rank Adaptation via Spectral Decomposition. 1-6 - Jonathan Yu, Jesse Yu:
Comparative Analysis of Graphcast and the Global Forecast System Using Real-Time Mesoscale Analysis. 1-5 - Rong Pan, Hongyue Sun, Xiaoyu Chen, Giulia Pedrielli, Jiapeng Huang:
Human Digital Twin, Precision Healthcare, Health Monitoring, Anomaly Detection, Statistical and Machine Learning Models. 1-6 - Kangwoo Yi, Bo Shen, Qin Li, Haimin Wang, Yong-Jae Moon, Jaewon Lee, Hwanhee Lee:
Comparing LSTM-Based Sequence-to-Sequence Forecasting Strategies for 24-Hour Solar Proton Flux Profiles Using GOES Data. 1-6 - Shumin Zhang
, Jingwei Li, Yunan Gao, Yuejin Li, Shijie Zhang, Xitong Li:
Mapping Research on Social Cognitive Bias in Large Language Models. 1-6 - Fengbin Chen, Liping Zhang, Tracy King:
TTNS: Dynamic Three-Tier Negative Sampling for Scalable Multi-Modal Search Ranking in Production. 1-6 - Melissa Matteo, Mahjabeen Tammana Abed, Xinghui Zhao:
Multimodal Learning with Intermediate Fusion for Enhanced Arrhythmia Classification. 1-6 - Starlika Bauskar, Jade Jiao, Narayanan Kannan, Alexander Kimm, Justin M. Baker, Matthew J. Tyler, Andrea L. Bertozzi, Anne M. Andrews:
Boltzmann Graph Ensemble Embeddings for Aptamer Libraries. 1-6 - Aman Shukla, Rishabh Kumar, Daniel Patrick Scantlebury:
Responsible Imputation of User Behavior Surveys via Mask-Aware Transformers. 1-6 - Tyler Cody, Peter A. Beling:
Measuring Resilience from Cascading Transfer Learning in Manufacturing Systems. 1-6 - Reza Mansouri
Autoregressive Surrogate Modeling of the Solar Wind with Spherical Fourier Neural Operator. 1-6 - Guann-Luen Chen, Li-Chieh Kung, Fanglan Chen, Chang-Tien Lu:
QoLScope: Efficient Visual Exploration of Housing-Centric Quality of Life. 1-6 - Büsra Çaliskan:
Class-Aware Hierarchical Feature Clustering for High-Dimensional Complex Ransomware Detection. 1-6 - J. M. Imtinan Uddin, Md Jubair Pantho, Hong Qin:
Quantifying Influenza Strain Dominance: A Differential Population Growth Rate Analysis Across Regions and Seasons. 1-10 - Keenan Powell, Rubayet Rongon, Xiaokun Yang, Xuechen Zhang:
Accelerating Deep-Learning Applications with Efficient Tensor Layout Management. 1-6 - Yuchao Zhang, Tianyu Xia:
Temporally-Aware Integration of Randomized Controlled Trials for Mitigating Hidden Confounding in Recommendations. 1-6 - Renata Tomaszewska:
Transformation of the Labour Market in the Age of Artificial Intelligence: AI-Driven Job Matching Platforms and New Employment Models. 1-6 - Mark Znidar, Blaz Mramor, Natalia Silberstein, Anze Alic, Martin Jakomin, Blaz Skrlj:
Multimodal Embedding Fusion for Scalable Context-First CTR. 1-6 - MahmudaAkter Keya, Mahnoor, Danica Blazanovic, Md. Tanvir Hasan, Ruimin Dai, Shuwen Wang:
Two-Stage Hierarchical Medical Text Classification Using Bio_ClinicalBERT. 11-18 - Jolanta Mizera-Pietraszko
Expert AI Algorithm for Reducing LDL Cholesterol Level. 19-26 - Ran Zhang, Tian Du, Xiao Wu, Zidan Chen, Ping Xu, Pengjiang Li, Xuezhi Wang, Pengfei Wang:
DrugBank-2025: An AI-Ready Next-Generation Dataset for Drug-Drug Interaction Prediction. 27-35 - Oluwatomisin Giwamogorewa, Julie D. Ries, Nathan Green:
Synthetic Gait Video Dataset Generation for Privacy-Preserving Gait Disorder Analysis. 36-40 - Runyang Jian, Zunhao Zhu, Yujia Shang, Yangbo Shen, Kunpeng Liu:
Privatar: A Privacy-Preserving Framework for LLM Agents. 41-47 - Kirill Rapatskikh, Dmitrii Kuznechenko, Mark Permyakov, Aleksander Boukhanovsky, Anna V. Kaluzhnaya:
LLM-Based Synthetic Tabular Data Generation and Curation for Privacy-Sensitive Scientific Applications. 48-57 - Roman Netrogolov, Irina Deeva:
Meta-Features Informed Wgan for Tabular Data. 58-67 - Ivan Dubrovsky, Kamil Fatkhiev, Anastasia Vepreva, Anastasia Orlova, Nina Gubina, Dina Shakirova, Rodion Golovinskii, Al Abbass Mohamed, Andrei Dmitrenko, Nikolay O. Nikitin, Anna V. Kalyuzhnaya:
ChemPaperBench: A Multi-Domain Benchmark for Literature-Grounded Chemical Reasoning of LLM-Based Multi-Agent Systems. 68-75 - Muhammad Behroze Hassan, Bayu Adhi Tama, Sanjay Purushotham, Vandana P. Janeja:
XCheck: A Consistency-Based Validation Framework for Englacial Layers Annotations. 76-85 - Eric W. Roginek, Joel A. Kulesza, Yijun Zhao:
Monte Carlo Synthetic Data Generation for Radiograph Denoising. 86-95 - Xiaoyan Han, Jin Ma, Jinghan Zhang, Kunpeng Liu, Feng Luo:
Understanding the Constraints of RAG-Based Medical LVLMs - A Case Study in Ophthalmic Report Generation. 96-102 - Ping Xu, Zaitian Wang, Zhirui Wang, Pengjiang Li, Ran Zhang, Gaoyang Li, Hanyu Xie, Jiajia Wang, Yuanchun Zhou, Pengfei Wang:
scUnified: An AI-Ready Standardized Resource for Single-Cell RNA Sequencing Analysis. 103-111 - Rakin Talukder, Hossein Shirazi, Ashmita Shishodia, Sabnam Pandit, Hajar Homayouni:
Transformer-Based Topic Mapping and GPT-Driven Hierarchical Taxonomy in Cardiovascular Research. 112-121 - Han Kyul Kim, Andy Skumanich
Imminent Dangers of Misinformation in Social Media Generated from Unmoderated LLMs. 122-127 - Xinyue Pan, Jadyn Park, Yuan Chang Leong:
LLM-Based Scoring of Narrative Memories Reveals That Emotional Arousal Enhances Central Information at the Expense of Peripheral Information. 128-136 - Christos Gkartzios, Evaggelia Pitoura, Panayiotis Tsaparas:
Modeling Network Formation with LLM Agents: The Role of Demographics and Personality. 137-146 - Weihong Qi, Fan Huang, Jisun An, Haewoon Kwak:
A Cross-Cultural Comparison of LLM-Based Public Opinion Simulation: Evaluating Chinese and U.S. Models on Diverse Societies. 147-156 - Rafal Kozik, Piotr Gocal, Michal Choras:
Innovative Graph-Based Analysis to Counter VAT Carousel and Credit Card Frauds. 157-165 - Francesco Zola, Jon Ander Medina, Andrea Venturi, Amaia Gil, Raul Orduna:
A Graph Machine Learning Approach for Detecting Topological Patterns in Transactional Graphs. 166-173 - Erfan Pirmorad:
Exploring the In-Context Learning Capabilities of LLMs for Money Laundering Detection in Financial Graphs. 174-177 - Sharif Al Mamun, Rakib Hossain, Md. Jobayer Rahman, Malay Kumar Devnath, Farhana Afroz, Lisan Al Amin:
Bayesian Modeling for Uncertainty Management in Financial Risk Forecasting and Compliance. 178-186 - Wesley Leeroy
AI-Enhanced Data Mining of Financial Domain: Methods and Applications. 187-196 - Mahender Rao Samperboyina, Shen-Shyang Ho:
Dynamic Graph Forecasting for Interacting Moving Objects via Multiplicative Interaction Networks. 197-205 - Susumu Naito
Deep Distance Measurement Method for Unsupervised Multivariate Time Series Similarity Retrieval. 206-214 - Li Xu:
Evolving Risks in US Healthcare Breaches. 215-222 - Nicholas Kuhn, Arvid Weyrauch, Muhammed Öz, Achim Streit, Markus Götz, Charlotte Debus:
A Comparative Study of Pruning Methods in Transformer-Based Time Series Forecasting. 223-228 - Agnes F. Liu, Yongxin Liu, Houbing Song, Alexander Ramirez:
An Integrated Survey on AI Paradigms for Physical Time Series Analysis. 229-237 - Sabrine Bouaziz
Rockfall Forecasting Using Ensemble Deep Learning and Temporal Gradient-Based Explanations. 238-247 - Nishan Khanal, Haoyu Li, Yong Zhuang:
InfoST: An Information-Theoretic Framework for Evaluating Spatio-Temporal Prediction. 248-254 - Abhina Premachandran Bindu, Greg Olmschenk, Zhigang Zhu:
Classification of Variable Stars Using Convolutional Neural Network. 255-264 - Nelvin Tan, Yu-Ching Shih, Dong Yang, Amol Salunkhe:
Flexible and Efficient Drift Detection Without Labels. 265-274 - Nicholas Tan Jerome, Nadia Aouadi, Christoph Köhler, Suren Chilingaryan, Andreas Kopmann:
Forecasting Source Stability in Scientific Experiments Using Temporal Learning Models: A Case Study from Tritium Monitoring. 275-284 - Jiazhen Hong, Geoffrey Mackellar, Soheila Ghane:
An Efficient Self-Supervised Framework for Long-Sequence EEG Modeling. 285-292 - Sathurgini Uthayakumar
Panelformer: An Enhanced Temporal Fusion Transformer for Robust Panel Time Series Forecasting. 293-302 - Kirill Zakharov
Realistic Controlled Time Series Generation with Variational Autoencoder. 303-312 - Azim Ahmadzadeh, Mahsa Khazaei, Elaina Rohlfing:
Beyond Point Matching: Evaluating Multiscale Dubuc Distance for Time Series Similarity. 313-322 - Omar Faruque, Sahara Ali, Xue Zheng, Jianwu Wang:
TS-CausalNN: Learning Temporal Causal Relations from Non-linear Non-stationary Time Series Data. 323-332 - Abdulfatah Bahbouh
Towards Label-Agnostic Forecasting: Adaptive Clustering for Heterogeneous Time Series. 333-339 - Binita Maity, Shrutimoy Das, Anirban Dasgupta:
Linear Programming Based Approximation to Individually Fair k-Clustering with Outliers. 340-347 - Sokrat Aldarmini, Mohamed Nafea:
Shapley-Value Based Feature Attribution for Explainability and Algorithmic Fairness: a Model-Agnostic Benchmark. 348-355 - Zifan Wang, Yi Zuo:
Reexamining Representativeness of TTD for Urban Traffic Carbon Emissions Based on Spatiotemporal Comparative Analysis with CVTD. 350-356 - Heng Lian, Lei Du, Jian Wu, Yi He:
AI-Driven Literature Mining for Intelligent Synthesis Design. 356-360 - Israel Olatunji Tijani, Oyinkansola Elizabeth Owoeye:
Ethics-by-Design for AI: Navigating the Double-Edged Scalpel. 361-366 - Bharti Meena, Joanna Skubisz, Harshit Rajgarhia, Nand Dave, Kiran Ganesh, Shivali Dalmia, Abhishek Mukherji, Vasudevan Sundarababu, Olga Pospelova:
Scalable Multilingual PII Annotation for Responsible AI in LLMs. 367-375 - Lilou Sicard-Noel, Ching-Seh Mike Wu:
Simple Beats Complex: Self-Monitoring Data Mining Pipelines for Robust AI Text Detection. 376-383 - Lige Gan, Jinzhao He, Xiao Yue, Guangzhi Qu:
Achieving Robust and Faithful Explanations via Conditional Pairwise Contrast. 384-391 - Pegah Mavaie, Neda Zarayeneh, Ravigopal Vennelakanti:
Automated Indicator Mining and Forecast-Ready Feature Engineering via LLMs: Application in Colocation Data Center Supply Chains. 392-400 - Mohammad Nour Al Awad
A Multimodal Conversational Agent for Tabular Data Analysis. 401-410 - Ananya Mantravadi, Shivali Dalmia, Abhishek Mukherji, Nand Dave, Anudha Mittal:
Contragen: a Multi-Agent Generation Framework for Enterprise Contradictions Detection. 411-420 - Jieer Ouyang, Xiaoneng Xiang, Zheng Wang, Yangkai Ding:
OTTER: Open-Tagging via Text-Image Representation for Multi-Modal Understanding. 421-430 - Huafu Li, Baosen Dong, Yonggang Zhao, Rong Gu, Bin Teng:
Harnessing Large Vision-Language Models for Intelligent Bid Evaluation. 431-439 - Shouvon Sarker, Lijun Qian, Xishuang Dong:
Integrating Non-Parametric Attention and Prompt Refinement to Enhance LLM-Based Text-to-SQL Without External Knowledge. 440-449 - Adam Ballew, Jingbo Wang, Shaogang Ren:
LLM Based Bayesian Optimization for Prompt Search. 450-458 - Md Sarwar Kamal, Sonia Farhana Nimmy, Madhumita Abhijeet Takalkar, Reza Rafeh, Mohammad Shohelur Rahman:
Explainable Digital Pathology: Interpreting Childhood Cancer Risk from Blood and Urine Tests. 459-467 - Syed Anas Ali, Muhammad Wasim Nawaz, Junaid Rashid, Ali Hamid Mahmood, Jungeun Kim, Muhammad Mahboob Ur Rahman, Qammer H. Abbasi:
PEFT QLORA-Based Fine-Tuning of Foundation Models for Vitals Estimation Using PPG and ECG-Based Medical IoT Data: A Feasibility Study. 468-477 - Sushant Kumar Ray, Ebad Shabbir, Rafiq Ali, Abdullah Mohammed, Samar Wazir:
Beyond Specialization: A Comprehensive Evaluation of General-Purpose Versus Medical Domain-Specific Large Language Models for Biomedical Question Answering. 478-484 - Jake R. Patock, Rinki Ratnapriya, Arko Barman:
A Graphical Method for Identifying Gene Clusters From RNA Sequencing Data. 485-492 - Nipun Joshi, Sanchit Baweja, Sandeep Kumar, Vikrant Shokeen, Amit Sharma, Vijeet Gahlawat:
A Comparative Study of Classical and Quantum Support Vector Machines for Multimodal Oral Cancer Detection. 493-499 - Zohaib Hasan Siddiqui, Dayam Nadeem, Mohammad Masudur Rahman, Mohammad Nadeem, Shahab Saquib Sohail, Beenish Moalla Chaudhry:
Surgeons Are Indian Males and Speech Therapists Are White Females: Auditing Biases in Vision-Language Models for Healthcare Professionals. 500-509 - Jay Vap, Reem Shehayib, Peter M. Kogge:
JORTs: Jenk's Optimization for Restrictive Training. 510-519 - Nikolay Butakov, Anton Vakhrushev, Maria Khodorchenko, Anastasiia Zakharova, Alexander Ryzhkov, Olga Plosskaya, Azamat Gainetdinov, Rinchin Damdinov, Dmitriy Alexandrov, Denis A. Nasonov, Maxim Savchenko:
Efficient Deadline-Constrained Scheduling and Hybrid Parallelism Optimization of Distributed AutoML Pipelines. 520-528 - Mohammad Ishtiaque Rahman, Md Razuan Hossain, Forhan Bin Emdad, S. M. Zobaer Alam, S. M. Sayem, Albina Alam, Kazi Saiful Islam:
A Game-Theoretic Foundation Framework for Query Strategy Optimization in Interactive Healthcare Information Retrieval. 529-538 - Dzmitry Pihulski, Karol Charchut, Viktoria Novogrodskaia, Jan Kocon:
LLMSQL: Upgrading WikiSQL for the LLM Era of Text-to-SQL. 539-548 - Sergey Teryoshkin, Denis A. Nasonov, Nikolay Butakov:
PARWOP: Optimization for Window Functions Partitioning. 549-558 - Anjali Jha, Wanqing Chen, Maxim Eckmann, Ian Stockwell, Jianwu Wang, Kai Sun:
LLM-Enhanced, Data-Driven Personalized and Equitable Clinician Scheduling: A Predict-Then-Optimize Approach. 559-567 - Md. Jobayer Rahman, Shamim Ahamed, Fahim Faisal Deepto, Marzia Zaman, Ashraful Islam, Farhana Sarker, Khondaker Abdullah Al Mamun:
A Benchmark and Optimization Framework for ML and LLM-Based Health Triage. 568-575 - Rhoda Nankabirwa, Vandana P. Janeja:
Community Member and Scientific Queries for Climate Resilience: An Assessment of the LLM Landscape. 576-585 - Akshay Peshave, Khondoker Hossain, James Kubricht, Ranjani Narayanan, Zachary Burpee, Anurag Agarwal:
Evaluating Large Language Models on Arithmetic and Interval Labeling Problems with Syntactic Perturbations. 586-595 - Francis Ndikum Nji, Vandana Janeja, Jianwu Wang:
B-TGAT: A BI-Directional Temporal Graph Attention Transformer for Clustering Multivariate Spatiotemporal Data. 596-605 - Vijayalakshmi Saravanan, Sai Karthik Navuluru, Khaled Z. Ibrahim, Lakshman Tamil:
AdaptiveStream: A Scalable Distributed Framework for Real-Time Change Point Detection in Data Streams. 606-615 - Moonsoo Park, Jeongseok Yun, Bohyung Kim:
PARAN: Persona-Augmented Review ANswering System on Food Delivery Review Dataset. 616-622 - Virgilio Maretto, Simone Cargiani, Francesca Antonazzi, Mitia Mambella, Antonio Giampaolo, Maria Ferraro, Stefania Ruggeri:
Azzurra: A Proof-of-Concept Avatar to Smoothly Interact with the Encyclopedia of Italian Cuisine. 623-632 - Vibhuti Dhar Khanduri, Mansi Goel, Lakshay Dabas, Harsh Kumar Agarwal:
Cross-Cultural Recipe Transformation Via Neural Network and Encoder-Based Models. 633-640 - Stefania Ruggeri, Francesca Antonazzi, Susanna Lelli, Mitia Mambella, Antonio Giampaolo, Cristina Giannetti, Virgilio Maretto:
The "Encyclopaedia of Italian Cuisine": An Authoritative Data Source for Computational Gastronomy of the Italian Culinary Heritage. 641-648 - Francesco Botto, Guadalupe Canahuate, Xinhua Zhang, Clifton D. Fuller, G. Elisabeta Marai:
FlavorCharter: Development of a Smartphone App for Quantifying Food Flavor. 649-656 - Hoonick Lee, Mogan Gim, Donghee Choi, Jaewoo Kang:
Culinary Class Wars: Evaluating LLMs Using ASH in Cuisine Transfer Task. 657-660 - Riddhi Jain, Manasi Patwardhan, Parijat Deshpande, Venkataramana Runkana:
Thought-for-Food: Reasoning Chain Induced Food Visual Question Answering. 661-670 - Viktoria Lobutova, Daria Chechueva, Valeria Odegova, Vladimir Vinogradov, Andrei Dmitrenko:
From Molecules to Aromas: 2D Chemical Maps Enable Accurate Prediction of Wine Flavors. 671-680 - Abdullah Toqeer
A Spatiotemporal Machine Learning Framework to Detect Woody Plant Encroachment into Hydrologically Altered Wetlands. 681-690 - Tanmoy Debnath
The Battle of the Titans: Comparing Three Leading Deep Learning Methods for 3D Medical Imaging. 691-700 - Md. Mujibur Rahman, Md. Mehedi Hasan, Quazi Mamun
Cost-Sensitive Machine Learning for Imbalanced Ride Demand Prediction. 701-709 - Md. Mehedi Hasan, Md. Mujibur Rahman, Quazi Mamun
Addressing Algorithmic Bias in Diabetes Care: A Multi-Modal Machine Learning Framework for Equitable Readmission Prediction. 710-719 - Md. Zahirul Islam, Noman Amin
Intra-Mode Encoding Complexity Reduction: Vision Transformer-Driven CU Partitioning for VVC. 720-727 - Md Sarwar Kamal
An Interpretable Federated Learning Framework for Secure Genomics. 728-737 - Jieh-Sheng Lee:
Patent-GRPO: Group Relative Policy Optimization for Patent Text Generation. 738-746 - Steve Huntsman:
Automatic Coherence-Driven Inference on Arguments. 747-756 - Sarah E. Ryan, Lingzi Hong:
The Challenges of Data Mining and A.I. for State Laws and Legislative Research: Recommendations for the Development of Legislative A.I. 757-766 - Moriya Dechtiar, Daniel Martin Katz, Mari Sundaresan, Sylvain Jaume, Hongming Wang:
GRAPH-GRPO-LEX: Contract Graph Modeling and Reinforcement Learning With Group Relative Policy Optimization. 767-776 - M. Mikail Demir, Muhammed Abdullah Canbaz:
Legal Argument Mining the TCA's Technology Undertaking Exception with Turkish BERT. 777-786 - Zhiyun Xue
Oral Cancer Detection by Using Tabular Data Synthesis and Classification. 787-793 - Yijun Zhao, Evan Madill, Akayou A. Kitessa, Benjamin Castle, Aakruti R. Katre, Tanuja Chitnis:
From Structured EHR Data to Narratives: Large Language Models for Early Prediction of Multiple Sclerosis Relapse. 794-801 - Yuka Tamura, Yasuko Matsubara, Tasuku Kimura, Ren Fujiwara, Tsuyoshi Sekitani, Sakaaki Machimura, Masayuki Endo, Tadashi Kimura, Yasushi Sakurai:
Discovery of Latent Dynamical Patterns in Biomedical Data. 802-811 - Hossein Naderi, Yuxia Huang, Taoran Ji, Ziba Abbasian:
Socio-Demographic and Spatial Determinants of Covid-19 Booster Uptake: a Graph Attention Network-Based Analysis. 812-818 - Lena Mondrejevski
X4FL: Explainability for Federated Learning in ICU Mortality Prediction. 819-826 - Pengfei Hu, Ming Fan, Xiaoxue Han, Chang Lu
Adaptive Graph Learning with Transformer for Multi-Reservoir Inflow Prediction. 827-835 - Daniel Saedi Nia
ESGF-Assistant: A Domain-Specific Large Language Model for Navigating Earth System Data. 836-845 - Bharat Sharma
Variational AutoEncoders Reveal Intensifying GPP Extremes in Continental United States Based on CESM2 Simulations. 853-862 - Thomas J. Vandal, Kate Duffy, Yoni Nachmany, Daniel McDuff:
Global Atmospheric Data Assimilation with Multi-Modal Masked Autoencoders. 863-872 - Belguutei Ariuntugs, Kehelwala Dewage Gayan Maduranga:
KriGNN: A Hybrid Kriging and Graph Neural Network Framework for Spatio-Temporal Air Pollution Forecasting. 873-882 - George Fatouros, Kostas Metaxas, John Soldatos, Manos Karathanassis:
MarketSenseAI 2.0: Enhancing Stock Analysis Through LLM Agents. 883-892 - Keyi Li, Can Liu, Lin Meng, Arpita Gang, Shubham Agrawal, Chiranjeet Chetia:
Generating Synthetic Financial Real-Time Payment Data Via Graph and Sequence Models. 893-900 - Yupeng Cao, Zhi Chen, Prashant Kumar, Qingyun Pei, Yangyang Yu, Haohang Li, Fabrizio Dimino, Lorenzo Ausiello, K. P. Subbalakshmi, Papa Momar Ndiaye:
RiskLabs: Predicting Financial Risk Using Large Language Model Based on Multimodal and Multi-Sources Data. 901-909 - Zheng-Chuan Su, Shiou-Chi Li, Jen-Wei Huang:
Volatility Prediction with Audio and Structure-Aware Text Embeddings in Earnings Conference Calls. 910-918 - Shuoling Liu, Yiran Shan, Hui Wu, Xiaoqian Sun, Jianqiu Deng, Xiangyu Wang:
Credit Risk Forecasting Through the Synergy of Large Language Models and Graph Learning. 919-926 - Si Shi, Hongxu Yuan, Huijie Li, Wuman Luo, Giovanni Pau:
Large Language Model-Guided Credit Scoring. 927-936 - Shusaku Tsumoto, Tomohiro Kimura, Shoji Hirano, Katsutoshi Yada:
Algebraic Analysis of Rule Mining Space. 937-946 - Rutuja Vaidya, Soumyadip Ghosh, Vaishali Paithankar Sadaphal:
GenEvalRefinEx: Architecture for Streamlining GenAI Efforts. 947-956 - Om Rai, Uday Chandra Bhookya, Kunal Jethuri, Raja Babu, Maitreya Natu:
Cloud Cost Optimization with Data Storytelling. 957-961 - Nirvan Ragoonath, Pryia Lackhan, Akash Bedasie, Amit Neil Ramkissoon
Identifying Fake Audio Using Social Media Metadata and Audio Features. 962-968 - Vikrant Shimpi, Maitreya Natu:
A Multidimensional Framework for Capacity Analysis. 969-976 - Steve Huntsman, Jewell Thomas:
Benchmarking Graph Construction by Large Language Models for Coherence-Driven Inference. 977-986 - Karukriti Kaushik Ghosh, Chiranjib Sur
DetoxNet: Toxicity Identification Using LLMs and Understanding its Drug-Origin for Model Fairness. 987-993 - Uras Varolgunes, Mengnan Du, Dantong Yu:
NPC-TAG: Node Prompts for Classification on Text Attributed Graphs with LLMs. 1000-1009 - Mohamed Bouguessa, Nairouz Mrabah, Youssef Amdouni:
Smooth Transitions in Graph Self-Supervision: Mitigating Feature Twist Across Abstraction Levels. 1010-1019 - Callum Cory, Miao Qiao, Diana Benavides-Prado, Yun Sing Koh:
Message-Passing Under Heterophily for Graph Classification. 1020-1029 - Haoyang Lyu, William Chang, Adrien Weihs, Andrea L. Bertozzi, P. Jeffrey Brantingham:
Mobile Sensor Placement for the 3-Coverage Problem in Confined Geometries. 1030-1035 - Nigel Stepp, Samuel D. Johnson, Jiejun Xu, Travis Hansen, Elizabeth Jurrus, Trevor Dobson:
Two-Stage Optimization Method for Large-Scale Multi-Target Multi-Satellite Tasking. 1036-1043 - Moqsadur Rahman, Monika Akbar, Joseph T. Aguayo, Mahmud Shahriar Hossain, Tina M. Ellis, Siddhartha Shankar Das, Mohammad Fakhruddin Babar, Monowar Hasan
ATT&CK to CVE: A Large-Scale Automated Knowledge Graph for Threat Intelligence. 1044-1054 - Shlok Gilda, Karsten Martiny, Justin Ho, Laura Tinnel, Grit Denker, Bonnie J. Dorr:
Navigating the Blue Nowhere: A Framework for Mapping Validated Adversarial Trajectories. 1055-1062 - Hossein Shokouhi-Nejad, Griffin Higgins
A Research and Development Portfolio of GNN Centric Malware Detection, Explainability, and Dataset Curation. 1070-1075 - Jakir Hossain, Sucheta Soundarajan, Ahmet Erdem Sariyüce:
Robustness of Truss Decomposition and Implications for GNN-Based Edge Classification. 1076-1085 - Xiaolin Yang, Anurag Yadav, Philip A. Wilsey:
Computing Persistent Homology Using Discrete Morse Theory. 1086-1095 - Qiya Yang, Xiuling Wang, Xiaoxi Liang, Yufei Ma, Guibo Luo, Yuesheng Zhu:
NodeNAR: Non-Autoregressive Graph Generation via Masked Sequence Modeling. 1103-1112 - Karthik Menon, Batool Arhamna Haider, Muhammad Arham, Kanwal Mehreen, Ram Mohan Rao Kadiyala, Muhammad Ali Shafique, Hamza Farooq:
Query Attribute Modeling: Improving Search Relevance with Semantic Search and Meta Data Filtering. 1113-1117 - Babaniyi Yusuf Olaniyi:
Enhancing Product Recommendations with Multi-Modal LLMs. 1118-1127 - Liping Zhang, Subhajit Sanyal, Tracy King:
CTMR: Cohort-Aware Transformer Multi-Objective Ranker for Personalized Debiased and Diversity-Aware Product Search. 1128-1134 - Bodhisatta Maiti, Debshree Chowdhury:
NoiseStat: A Lightweight Diagnostic Framework for Retrieval Robustness Under Noise. 1135-1139 - Kamal Taha:
Text Clustering with Large Language Models: Recent Advances, Applications, and Experimental Insights. 1140-1149 - Magzhan Kairanbay, Sayed Ahmed Khalaf, Ali Alshehab, Basaveswar Reddy Mora Reddy, Ahmed Bahar:
LLM-Enhanced Semantic Clustering for Predictive Industrial Incident Detection: A Zero-Shot Approach to Safety Analytics. 1150-1159 - Yuxuan Liu, Quanxue Gao, Jingjing Xue, Jing Li, Cheng Deng:
Orthogonal Semi-Nonnegative Tensor Factorization Based Tensorized Label Learning. 1160-1169 - Guangyu Yang, Xuhong Dong, Rui Wang, Quanxue Gao, Yu Duan:
Anchor Label Guided Co-Clustering via Multi-Anchor Graphs Fusion. 1170-1179 - Allen Detmer
New Topic Discovery Using LLM Analysis and Entropy Based Clustering of Short Texts. 1180-1189 - Zefang Liu, Arman Anwar:
AutoBnB-RAG: Enhancing Multi-Agent Incident Response with Retrieval-Augmented Generation. 1190-1199 - Christopher Beddies, Vincenzo Bonaiuto, Bernd Eylert, Stefan Kubica, Bernd Heimer:
Deterministic Network Vulnerability Test Generation Through Predictable Template Learning: A Systematic Evaluation. 1200-1209 - Lauren Brandt, Joshua D. Guttman, Andres Molina-Markham:
Autoformalization of Cryptographic Protocols. 1210-1216 - Steve Huntsman:
Coherence-Driven Inference for Cybersecurity. 1220-1229 - Giacomo Benedetti, Luca Caviglione, Michal Choras, Massimo Guarascio, Angelica Liguori, Giuseppe Manco, Antonino Rullo:
Days of Future Past: Towards Robust Detection of Malware Variants via LLM-Based Embedding Generation. 1230-1237 - Shota Sakamaki, Hiroki Kanezashi
Enhancing Graph-Based Advanced Persistent Threat Detection with LLM Sentence Embedding. 1238-1243 - Philippe Zotz, Beltran Fiz:
MISPerer: Evaluating LLM-Mediated Access to MISP via the Model Context Protocol. 1244-1249 - Han Wang, Murathan Kurfali, Alfonso Iacovazzi:
Benchmarking LLMS for Threat Level Determination. 1250-1257 - Aidan Wen, Norah A. Alzahrani, Jingzhi Jiang, Andrew Joe, Karen Shieh, Andy Zhang, Basel Alomair, David A. Wagner:
SeedAIchemy: LLM-Driven Seed Corpus Generation for Fuzzing. 1258-1267 - Yu-Zheng Lin, Sujan Ghimire, Abhiram Nandimandalam, Jonah Michael Camacho, Unnati Tripathi, Rony Macwan, Sicong Shao, Setareh Rafatirad, Rozhin Yasaei, Pratik Satam, Soheil Salehi:
LLM-HyPZ: Hardware Vulnerability Discovery Using an LLM-Assisted Hybrid Platform for Zero-Shot Knowledge Extraction and Refinement. 1268-1273 - Mudita Khurana, Raunak Jain:
SoK: Measuring what Matters for Closed-Loop Security Agents. 1274-1283 - Hamed Jelodar, Mohammad Meymani, Samita Bai, Roozbeh Razavi-Far, Ali A. Ghorbani:
SBAN: A Framework & Multi-Dimensional Dataset for Large Language Model Pre-Training and Software Code Mining. 1284-1290 - Anilson Monteiro, Sebastião Pais, Farzaneh Lashgari, Mehran Pourvahab:
An Explainable AI Approach to Detecting Linguistic Markers of Mental Health Risk in Toxic Online Discourse. 1291-1300 - Zexi Lin, Junrui Tian, Yi Dai, Yang Ding, Ling Feng:
Uncertainty Calibration in Social Media-Driven Online Continuous Suicide Risk Prediction. 1301-1308 - Sriram Atluri, Lu Liu:
Community Data Preparation of Reddit Eating Disorders Communities. 1309-1315 - Ratna Kandala, Akshata Kishore Moharir, Divya Arvinda Nayak:
From Explainability to Action: A Generative Operational Framework for Integrating XAI in Clinical Mental Health Screening. 1316-1325 - Qibin Sun, Shijie Zhang, Yunan Gao, Yuejin Li, Jingwei Li, Xitong Li:
Speech Feature Extraction and Selection for Mental Health Analysis: Methods, Tools, and Challenges. 1326-1335 - Yingzhi Tao
Macro-Level Correlational Analysis of Mental Disorders: Economy, Education, Society, and Technology Development. 1336-1343 - Jun Li, Qun Zhao:
Suicidal Comment Tree Dataset: Enhancing Risk Assessment and Prediction Through Contextual Analysis. 1351-1356 - Mohammad Akidul Hoque, Anuradha Choudhury, Jaime C. Acosta, Mahmud Shahriar Hossain
Data-Driven IDS Rule Generation for Detecting Malicious Traffic. 1357-1365 - Alabi Ahmed, Vandana Pursnani Janeja, Sanjay Purushotham:
Multi-Speaker Conversational Audio Deepfake: Taxonomy, Dataset and Pilot Study. 1373-1378 - Shivani Shukla, Himanshu Joshi:
Security Charter Effectiveness in Large Language Model Code Generation: A Multi-Phase Experimental Analysis Revealing Task-Dependent Responsiveness and Architectural Differences. 1379-1386 - Atousa Arzanipour, Rouzbeh Behnia, Reza Ebrahimi, Kaushik Dutta:
RAG Security and Privacy: Formalizing the Threat Model and Attack Surface. 1387-1394 - Lisan Al Amin, Vandana P. Janeja:
Reliable Audio Deepfake Detection in Variable Conditions via Quantum-Kernel SVMs. 1395-1403 - Guo Yutong, Wanying Wang, Yue Wu, Zichen Miao, Haoyu Wang:
TALENT: Table VQA via Augmented Language-Enhanced Natural-Text Transcription. 1404-1410 - Denisa A. O. Roberts, Lucas R. Roberts:
Smart Vision-Language Reasoners. 1411-1420 - Jonathan Grienay, Marina Reyboz, Martial Mermillod, Laurent Rodriguez, Benoît Miramond:
BrAMA: A Data-Efficient Brain-Inspired Architecture for Semi-Supervised Multi-Modal Association. 1421-1428 - Lele Cao
A Practical Synthesis of Detecting AI-Generated Textual, Visual, and Audio Content. 1429-1436 - Christopher Driggers-Ellis, Gabriel Ayoubi, Christan Grant:
OPTiCAL: An Abstract Positional Reasoning Benchmark for Vision Language Models. 1437-1441 - Saroj Basnet, Shafkat Farabi, Tharindu Ranasinghe, Diptesh Kanojia, Marcos Zampieri:
Evaluating Open-Source Vision-Language Models for Multimodal Sarcasm Detection. 1442-1447 - Jake S. Rhodes, Adam G. Rustad, Marshall S. Nielsen, Morgan Chase McClellan, Dallan Gardner, Dawson Hedges:
Guided Manifold Alignment With Geometry-Regularized Twin Autoencoders. 1454-1463 - Hoang-Bao Le, Allie Tran, Binh T. Nguyen, Liting Zhou, Cathal Gurrin:
UNION: A Lightweight Target Representation for Efficient Zero-Shot Image-Guided Retrieval with Optional Textual Queries. 1471-1479 - Yipeng Zhang, Hongjun Yu, Aritra Mandal, Canran Xu, Qunzhi Zhou, Zhe Wu:
Bridging Modality Gaps in e-Commerce Products via Vision-Language Alignment. 1480-1488 - Tushar Vatsa, Vibha Belavadi, Priya Shanmugasundaram, Suhas Suresha, Dewang Sultania:
FUSE: Failure-aware Usage of Subagent Evidence for MultiModal Search and Recommendation. 1489-1497 - Yu-Chen Lin, Sanat Sharma, Hari Manikandan, Jayant Kumar, Tracy Holloway King, Jing Zheng:
Scaling Multimodal Search and Recommendation with Small Language Models via Upside-Down Reinforcement Learning. 1498-1504 - Liping Zhang, Tracy Holloway King, Ravindra Sadaphule, Jayant Kumar, Fengbin Chen, BY Yu, Vipul Dalal:
PMMR: Query-Adaptive GEO-Personalized Multimodal Ranking for Creative Search at Scale. 1505-1512 - Kevin Robbins, Xiaotong Liu, Yu Wu, Le Sun, Grady McPeak, Abby Stylianou, Robert Pless:
Will It Zero-Shot?:Predicting Zero-Shot Classification Performance for Arbitrary Queries. 1513-1523 - Sebastian Kula
Innovative Approach to Use Large Language Models (LLM) for Continuous Annotation of Disinformation. 1524-1532 - Sumaita Sadia Rahman, Caio Batista de Melo:
Identifying Novel CAN Bus Attack Types at Runtime. 1533-1536 - Jiyeon Kim, Minji Seo, Eunsun Choi, Alexander W. Olson:
Predicting Interview Engagement in Real-Time Recruitment: Class Imbalance and Behavioral Feature Analysis. 1537-1545 - Ruitao Xue, Devki Nandan Jha, Tomasz Szydlo, Rajiv Ranjan:
STREAM-LAD: A Practical Streaming Lifelong Anomaly Detection Algorithm for IoT. 1546-1550 - Suresh Kumar Amalapuram, Bheemarjuna Reddy Tamma, Sumohana S. Channappayya:
Experimental Insights on Continual Learning for Network Intrusion Detection. 1551-1557 - Marília Maia, Lucas P. Damasceno, Roberto Corizzo, Charles C. Cavalcante, Zois Boukouvalas:
Class-Constrained Independent Vector Analysis for Discriminative Multimodal Representation Learning. 1558-1564 - Wenqian Yu, Jiaying Wu, Jinglu Hu:
From Full Data to Few: DQN-Driven SV Data Selection for One-Class SVM Anomaly Detection. 1565-1572 - Bartlomiej Moniak, Andrzej Brodzicki, Joanna Jaworek-Korjakowska:
ISIC Under Attack! Robustness of Skin Lesion Classifiers Under Adversarial Perturbations. 1573-1578 - Jiwon Park, Hayoung Oh:
MAMBA-PAD: Selective State Space Anomaly Detection with Channel-Wise Gating and Stabilized Dual-Objective Training. 1579-1585 - Jungi Lee, Jungkwon Kim, Chi Zhang, Kwangsun Yoo, Seok-Joo Byun:
Statistical Robustness in Anomaly Detection with Hard Rejection and Adaptive Weighting. 1586-1595 - Luis Olmos, Rashida Hasan
A Multi-Snapshot Sketching Framework for Anomaly Detection in Streaming Graphs. 1596-1605 - Zihao Li, Han Wang, Yingying Hu, Jianan Li, Fei Li, Qingshan Li:
Contrastive Reinforcement Learning for Robust Anomaly Detection with Limited Labels. 1606-1615 - Ashiqur Rahman
Proposing a Framework for Machine Learning Adoption on Legacy Systems. 1616-1623 - Yu Wang, Ran Jin, Lulu Kang
Robust Analysis for Resilient AI System. 1631-1641 - Xiaodong Jia, Tarek Yahia, Kody Haubeil, David Siegel, Donald Davis:
Integrating Vision Language, and Actions in Optical Inspections to Enable Closed-Loop Defect Identification and Remediation. 1641-1649 - Xuancheng Jin, Yingyan Zeng, Hui Liu, Ran Jin:
Contrastive Ensemble Active Learning for Data Quality Improvements for Resilient Manufacturing AI Model Prediction. 1650-1658 - Jimmy Pöhlmann, Anna Lopatkina, Paul Jungmann, Claudio Hartmann, Wolfgang Lehner:
A Reproducible Approach to Virtual Metrology. 1666-1675 - Manasi Patwardhan, Ayush Agarwal, Shabbirhussain Bhaisaheb, Aseem Arora, Lovekesh Vig, Sunita Sarawagi:
Retrieval and Augmentation of Domain Knowledge for Text-to-SQL Semantic Parsing. 1676-1685 - Ahmed Bahloul, Simon Malberg:
From Roots to Rewards: Dynamic Tree Reasoning with Reinforcement Learning. 1686-1695 - Ivan Perov, Anastasiia Filatova, Egor Timoschak, Denis A. Nasonov:
From Regulations to IDS: A Tool-Augmented LLM Pipeline for Automated BIM Rule Checks. 1696-1702 - Yufei Tao, Adam Hiatt, Rahul Seetharaman, Ameeta Agrawal:
"Lost-In-The-Later": Framework for Quantifying Contextual Grounding in Large Language Models. 1703-1712 - Misam Abbas:
Attribution Quality in AI-Generated Content: Benchmarking Style Embeddings and LLM Judges. 1713-1720 - Xiaofeng Zhu, Yunshen Zhou:
Agentic Meta-Orchestrator for Multi-Task Copilots. 1721-1730 - Huibin Tan, Mingyu Cao, Xihuai He, Long Lan, Wenjing Yang, Kedi Zhang:
Enhanced Semantic Alignment in Transformer Tracking via Position Learning. 1731-1739 - Zinan Wang:
Context-Aware Optimization of Large Language Models for Object-Oriented Programming: Strategies and Challenges. 1740-1747 - Guo Li
LESC-ODE: Lyapunov-Enhanced Neural ODE Controller for Stochastic Source Seeking. 1748-1752 - David Dymko, Stefan A. Robila:
Conclave: A Unified Platform for Real-Time Slurm Cluster Data Monitoring. 1753-1760 - Sichao Wang, Wenxue Zhang, Jinxuan Zhu, Zhenyu Wang, Yunqi Xia:
Infusing Structural Knowledge for Language Generation with Relational Graph Diffusion. 1761-1770 - Adam Kiersztyn, Dariusz Czerwinski, Krystyna Kiersztyn, Ernest Czermanski, Aneta Oniszczuk-Jastrzabek:
Predicting Vessel Movement Status Using Temporal-Spatial AIS Data and Machine Learning. 1776-1784 - Francisco Galuppo, Gianlucca L. Zuin, Adriano Alonso Veloso, Ram Rajagopal:
Learning Dispatch Policies for Hydrothermal Power Systems with Imperfect State Information and High Reinforcement. 1785-1793 - Karina Tarasieva, Sergei Evgenov
Optimisation of a Socio-Economic System for Increasing Residents' Satisfaction Level. 1794-1801 - Md Sultanul Islam Ovi, Mainul Hossain, Md Badsha Biswas:
Quantitative Currency Evaluation in Low-Resource Settings Through Pattern Analysis to Assist Visually Impaired Users. 1802-1811 - Rohit Chakraborty, Md. Monzurul Islam, Shriyank Somvanshi, Swastika Barua, Subasish Das:
Unmasking Vehicle Automation-Severity Interactions Through Multimodal Association Rules Mining. 1812-1820 - Waldemar Bauer
Non-Parametric Spectral Analysis of Slow Wave Activity in Resting-State EEG as a Biomarker of Dementia Risk. 1821-1828 - Guangzhi Su, Shuchang Huang, Yutong Ke, Zhuohang Liu, Long Qian, Kaizhu Huang:
SmoothGuard: Defending Multimodal Large Language Models with Noise Perturbation and Clustering Aggregation. 1829-1834 - Chengcheng Feng
TriLoRA: Enhancing Realistic Robustness of Low-Step Diffusion Sampling via Structured Low-Rank Adaptation. 1835-1842 - Yiming Lin, Shang Wang, Junkai Zhou, Qiufeng Wang, Xiao-Bo Jin, Kaizhu Huang:
Hyperbolic Structured Classification for Robust Single Positive Multi-Label Learning. 1843-1850 - Md Sarwar Kamal, Sonia Farhana Nimmy, Linkon Chowdhury, Ripon K. Chakrabortty:
Quantum-Based Data Structure for Medical Image Encoding. 1851-1860 - Jinghao Cao, Qi Li, Mengnan Du, Haimin Wang, Bo Shen:
Physics-Informed Attention-Enhanced Fourier Neural Operator for Solar Magnetic Field Extrapolations. 1866-1875 - Chetraj Pandey, Jinsu Hong, Anli Ji, Rafal A. Angryk, Berkay Aydin:
Ordinal Encoding as a Regularizer in Binary Loss for Solar Flare Prediction. 1890-1895 - Rimsha Hameed Syeda, Dustin Kempton
Cluster-Weighted Training of Deep Surrogate Models for Subgrid Turbulent Transport. 1896-1904 - Anli Ji, Pranjal Patil, Chetraj Pandey, Manolis K. Georgoulis, Berkay Aydin:
Enhancing Explainability in Solar Energetic Particle Event Prediction: A Global Feature Mapping Approach. 1905-1912 - Victor Solomon, Petrus C. Martens, Jingyu Liu, Rafal A. Angryk:
EdgeAttNet: Towards Barb-Aware Filament Segmentation. 1913-1922 - Aatiya Ali, Viacheslav Sadykov
Using ML-Based Regression Techniques to Mitigate Goes Energetic Proton Flux Data Contamination and Magnetospheric Effects. 1923-1930 - Sanjib K. C, Viacheslav M. Sadykov, Dustin Kempton
Nowcasting of Aviation Radiation Using Geospace Environment Properties: A Machine Learning Approach. 1931-1938 - Vignesh Kumar Pandian Sathia
Exploring Temporal and Regularization Frameworks for Atmospheric Wind Layer Prediction from Speckle Imaging. 1939-1946 - Aryiadna Yesmanchyk, Yan Xu, Jason T. L. Wang, Haodi Jiang, Chunhui Xu, Haimin Wang:
Out-of-Sample Validation of MagNet. 1947-1950 - Mahsa Khazaei, Azim Ahmadzadeh, Alexei Pevtsov, Luca Bertello, Alexander Pevtsov:
H-Alpha Anomalyzer: An Explainable Anomaly Detector for Solar H-Alpha Observations. 1951-1958 - Alexis Chalmers, Azim Ahmadzadeh:
Automatic Classification of Magnetic Chirality of Solar Filaments from H-Alpha Observations. 1959-1966 - Elaina Rohlfing, Azim Ahmadzadeh, V. Aparna:
Effectiveness of High-Dimensional Distance Metrics on Solar Flare Time Series. 1967-1975 - Jinsu Hong, Chetraj Pandey, Berkay Aydin:
Uncertainty-Aware Solar Flare Regression. 1976-1984 - Kun Zhao, Yang Du, Rhianna Zhang, Liang Zhan, Dongkuan Xu, Pengfei Gu, Haoteng Tang:
Who Matters More in Radiology Report Generation: Vision Encoders or Language Models? 1985-1989 - Yang Du, Siyuan Dai, Marcus Zhan, Guodong Liu, Paul M. Thompson, Heng Huang, Haoteng Tang:
Selective Channel-Quality-Guided EEG Denoising for Brain Disorder Prediction. 1990-1994 - Jing Zhang, Xiaowei Yu, Tong Chen, Chao Cao, Minheng Chen, Yan Zhuang, Yanjun Lyu, Lu Zhang, Li Su, Tianming Liu, Dajiang Zhu:
BrainNet-MoE: Brain-Inspired Mixture-of-Experts Learning for Neurological Disease Identification. 1995-2001 - Ehsan Shakeri, Matthias K. Gobbert, Vijay R. Sharma, Lei Ren, Ananta Chalise, Stephen W. Peterson, Jerimy C. Polf:
Geant4-Based Simulation and Image Reconstruction of Tc-99M for Radiopharmaceutical Imaging. 2002-2010 - Fabiha Islam, Kun Zhao, Bart Knijnenburg, Mei-Hsiu Chen, Alex D. Leow, Purushothaman Muthukanagaraj, Liang Zhan, Chao Shi:
Pretraining a Generative AI Model on CBT Sessions to Emulate Human Therapist Strategies: A Study Using the APA Psyctherapy Database. 2011-2014 - Qi Huang, Haoteng Tang, Han Tang
Quantitative Phosphocreatine Mapping with a Transformer-Based Regression Network. 2015-2019 - Siyuan Dai, Lunxiao Li, Kun Zhao, Eardi Lila, Paul K. Crane, Heng Huang, Dongkuan Xu, Haoteng Tang, Liang Zhan:
Why Text Prevails: Vision May Undermine Multimodal Medical Decision Making. 2020-2024 - Han Tang
SynM-FPP: Few-Shot Learning on Synthmorph-Based Motion Correction Framework for Myocardial First-Pass Perfusion. 2025-2032 - James Li, Andrew Woods, Ao Yuan:
Agentic AI for Disease-Aware Adaptive Multi-Omics Embedding: A Proof of Concept with PCA and Bulk RNA-Seq Data. 2033-2039 - Shuqin Ye, Xinjing Liu, Siwei Xu, Yongjun Huang, Xiaojie Wang, Ruifan Li:
A Generative Method with Elements Enhancement for Comparative Opinion Quintuple Extraction. 2040-2047 - Donghao Huang, Nicole Teo, Aparna Chekuru, Erin Deutschman, Zhaoxia Wang:
Deploying Reasoning LLMS for Sentiment Analysis: Architecture Trade-Offs on Consumer Hardware. 2048-2055 - Zihao Huang, Kelvin Du, Xulang Zhang, Rui Mao, Erik Cambria:
Combining LLM-Generated Knowledge Graphs with RAG for Financial Sentiment Extraction. 2056-2063 - Wiktoria Mieleszczenko-Kowszewicz, Beata Bajcar, Aleksander Szczesny, Maciej Markiewicz, Jolanta Babiak, Berenika Dyczek, Przemyslaw Kazienko:
Unraveling SITT: Social Influence Technique Taxonomy and Detection with LLMs. 2064-2073 - Sachin Bhat, Erik Cambria, Haibo Pen:
NMRet: A Memory-Augmented Retrieval Framework for Large Language Models. 2074-2083 - Mikolaj Langner, Jan Eliasz, Ewa Rudnicka, Jan Kocon:
Divide, Cache, Conquer: Dichotomic Prompting for Efficient Multi-Label LLM-Based Classification. 2084-2092 - Roberto Mansilla, Weiyao Meng, Gregor Milligan, Sam Smith:
Beyond Benchmarks: Interpretable Aspect-Based Sentiment Analysis for Actionable Insights from Customer Reviews. 2093-2100 - Sidney Suen, Ranjan Satapathy, Kenneth Kwok, Erik Cambria:
Multi-Layered Prompting of Small Language Models for Twitter Sentiment Analysis. 2101-2108 - M. Luqman Jamil, Sebastião Pais, Mar Ávila:
Fine-Tuning LLMs for Emotion Recognition Through Hierarchical Classification: Overcoming High-Cardinality Class Imbalance. 2109-2117 - Sadat Reza, Ben Choi, Kumaran Rajaram, Erik Cambria:
Neurosymbolic AI for Mining Public Opinions on Generative AI's Role in Firm Efficiency. 2118-2127 - Nicole Teo, Zhaoxia Wang:
Bias Detection and Mitigation in Large Language Models. 2138-2145 - Dzmitry Pihulski, Jan Kocon:
Language, Culture, and Ideology: Personalizing Offensiveness Detection in Political Tweets with Reasoning LLMs. 2146-2155 - Samuel Samuel, Donghao Huang, James Tan Yong Hong, Zhaoxia Wang:
Integrating LLM Sentiment Analysis into Machine Learning for Soccer Betting. 2156-2164 - Wil Bishop, Eleazar Leal, Le Gruenwald:
Subtrajectory Clustering with Machine Learning on Quantum Computers. 2165-2169 - Cristian Noriega Monsalve
Geospatial Data Mining for Turbine Layout and Energy Forecasting in Offshore Wind Farms. 2170-2178 - Christos Gunopulos, Evimaria Terzi:
Understanding NBA Team Formations and Plays. 2179-2184 - Brooklyn Berry, Gaukhar Nurbek, Juan Manuel Perez, Richard Tapia, Qi Lu, Yifeng Gao:
An Efficient Self-Supervised Learning Framework for Swarm Robot Trajectory Analysis. 2185-2189 - Rohit Sriram, Ranga Raju Vatsavai:
Efficient Multi-Domain Instance Segmentation with Modular Shared-Head Routing. 2190-2198 - Sai Vikas Amaraneni, Maloy Kumar Devnath, Shalini Srinivasa, Chhaya Kulkarni, Sudip Chakraborty, Vandana P. Janeja:
Predicting Antarctic Sea Ice with Scalable Deep Learning Models. 2199-2206 - Yang Zhao, Yuzhou Chen, Xinghua Shi:
Uncertainty Quantification of Conformalized Spatio-Temporal Graph Convolutional Network on Forecasting. 2207-2216 - Fanyu Meng, Ziwen Kan, Shahbaz Rezaei, Zhaodan Kong, Xin Chen, Xin Liu:
Implet: A Post-Hoc Subsequence Explainer for Time Series Models. 2217-2226 - Ivan P. Malashin, Igor S. Masich, Dmitry Martysyuk, Andrei P. Gantimurov, Aleksey S. Borodulin, Vladimir A. Nelyub, Vadim Tynchenko:
A Stochastic Diffusion Framework for Tabular Data Synthesis and Completion. 2227-2236 - Sonal Prabhune, Balaji Padmanabhan, Kaushik Dutta:
Measuring and Mitigating Gender Entropy Bias in Large Language Models. 2237-2246 - Pernille Matthews, Tommaso Amico, Arthur Zimek, Ira Assent:
DualEx: Dual-Space Clustering for Regional Explanations. 2247-2256 - Sebastian Szelest, Marek Pawlicki, Ryszard S. Choras, Rafal Kozik, Michal Choras:
SHAP Analyses in Feature-Based and Principal Component-Based Model. 2257-2266 - Sifeddine Sellami, Juba Agoun, Lamia Yessad, Auday Berro, Louenas Bounia:
Explainable Profiling of Sleep Disorders to Support Trustworthy Clinical Interventions. 2267-2276 - Safayat Bin Hakim, Houbing Herbert Song:
Synergizing Dynamic Symbolic Rules and Few-Shot Learning for Discrete Reasoning in Hybrid QA. 2277-2284 - Zhaoyang Wang, Junhua Wu, Xiaoshan Cui, Guangshun Li:
A Federated Meta-Learning Approach for Transactional Risk Behavior Identification. 2285-2290 - Mary Grace Dhooghe, Yan Zhou, Murat Kantarcioglu:
WHETSTONE: Honing Synthetic Data for Improved Downstream Fairness and Utility. 2291-2300 - Minh Nhat Vu, Ben Nebgen, Erik Skau, Geigh Zollicoffer, Juan Castorena, Kim Ø. Rasmussen, Boian S. Alexandrov, Manish Bhattarai:
LaFA: Latent Feature Attacks on Non-Negative Matrix Factorization. 2301-2309 - Xinyu Qin, Siyi Li, Yiyu Cai, Lu Wang:
Enhancing Counterfactual Explanations with Feasibility and Diversity. 2310-2319 - Guojun Tang, Jiayu Zhou, Mohammad Mamun, Steve Drew:
Lightweight and Robust Federated Data Valuation. 2320-2329 - Milad Sabouri, Masoud Mansoury, Kun Lin, Bamshad Mobasher:
Effectiveness of LLMs in Temporal User Profiling for Recommendation. 2330-2335 - Sepinood Haghighi, Pooya Moradian Zadeh:
Aspect-Aware Sentiment Interaction Modeling with DeBERTa for Enhanced Review-Based Recommendations. 2336-2343 - Liping Zhang, Tracy Holloway King, Ravindra Sadaphule, Jayant Kumar:
UWM3R: Uncertainty-Weighted Multi-Intent Experts for Direct-Deep Multimodal Ranking. 2344-2351 - Shuqi Qin, Yitong Liu, Xiaoqian Liu:
Adaptive Calibrated Doubly Robust Estimators for Debiased Recommendation. 2352-2357 - Xiaxin Yuan:
SemiSL-RDC: Semi-Supervised Rating Distribution Calibration via Pivot User for Debiasing Recommendation Systems. 2365-2371 - Jorge C. Chamby-Diaz, B. F. Purificação, Vinícius Carvalho Pereira, MinSoeng Kim:
User Ranking System Using Pareto Optimality and Usage Time Metrics. 2372-2381 - Junyou He, Lixi Deng, Huichao Guo, Ye Tang, Yong Li, Sulong Xu:
Adversarial Alignment and Disentanglement for Cross-Domain CTR Prediction with Domain-Encompassing Features. 2382-2391 - Anshuman Guha, Arjun Bali, Siddharth Kashiramka, Animesh Chaturvedi:
Token Optimized Indexing with Named Entity Extraction From Conversational Data Services. 2392-2399 - Haris Khan, Sadia Asif, Shumaila Asif:
Multi-Agent Framework for Controllable and Protected Generative Content Creation: Addressing Copyright and Provenance in AI-Generated Media. 2400-2403 - Maxim Suslov, Shivashish Khanna, Zirui Liu:
Spireeval: Transforming Gameplay into Sequential Datasets for LLM Decision-Making Analysis. 2404-2408 - Runyang Jian, Yujia Shang, Zunhao Zhu, Kunpeng Liu, Chongyu Bao, Xiaolan Liu:
CLMC: Code-Level Metacognition for LLM Agents. 2409-2414 - Linxi Wu:
Mitigating Copyright Violations in LLMs Via In-Context Role-Playing and Instructional Framing. 2415-2420 - Alexander Poon, Zhaozhuo Xu:
Building Self-Awareness of LLMs Over Weight Quantization. 2421-2424 - Jiayi Qiu:
SIFT: Scene-Imagination-Based Feature Reweighting. 2425-2432 - Mayur Prakash Gotmare, Ranga Raju Vatsavai:
Enhancing LLM Dialogue with Graph-Based Context, Style, and Sentiment Integration. 2433-2441 - Nitin Gupta, Biplav Srivastava, Vansh Nagpal, Siva Likitha Valluru, Kausik Lakkaraju, Zach Abdulrahman, Andrew Davison:
Promoting Nutrition Adherence with Convenience Using Group Recommendations and Multimodal Food Reasoning - Initial Results. 2442-2451 - Aleksandra Pawlicka, Renata Tomaszewska, Marek Pawlicki, Rafal Kozik, Michal Choras:
Generative AI in Workplaces Worldwide: Emerging Ethical Risks and Mitigation Guidelines. 2452-2459 - Yoga Harshitha Duddukuri
Compute-Efficient Prediction of Rhetorical Relations via Late Fusion of Semantic Perturbation and Attention Features. 2467-2471 - Runlong Yu, Xiaowei Jia:
Truth Without Comprehension: A Bluesky Agenda for Steering the Fourth Mathematical Crisis. 2472-2476 - Haoyu Wang, Tianci Liu, Fenglong Ma, Jing Gao:
Toward Generalizable, General-Purpose, and Multimodal Knowledge Editing for Foundation Models. 2477-2482 - Ojas Nimase, Yue Zhao, Yushun Dong:
Navigating Between Explainability and Extractability in Machine Learning as a Service. 2483-2487 - Song Wang, Jundong Li:
Dynamic, Efficient, and Generalizable Multi-Agent Communication for Large Language Models. 2488-2491 - Adithya Kulkarni, Haohui Wang, Wangzhi Zhan, Jianpeng Chen, Dawei Zhou:
The End of Trial-and-Error: A Vision for Generative Intelligence in Metamaterial Design. 2492-2496 - Kanghui Ning, Zijie Pan, Yushan Jiang, Anderson Schneider, Yuriy Nevmyvaka, Dongjin Song:
Towards Interpretable and Trustworthy Time Series Reasoning: A BlueSky Vision. 2497-2502 - Zhenglong Li, Yi Zhu, Jipeng Qiang:
SCIS-Demo: A Demonstration System for Semantically Guided Detection Evasion in LLM-Generated Text. 2503-2506 - Mohammad Mahdavi, Amirhosein Farahmand, Abolfazl Nadi:
Fact-Checking Sustainability Objectives Using Multimodal Retrieval-Augmented Generation. 2507-2510 - Saleh Afzoon, Amin Beheshti, Usman Naseem:
PersoPilot: An Adaptive AI-Copilot for Transparent Contextualized Persona Classification and Personalized Response Generation. 2511-2514 - Arun S. Maiya:
Generative AI for FFRDCs. 2515-2518 - Min-Huan Tsai, Chia-Chen Tsai, En-Zuo Huang, Pei-Xuan Li, Hsun-Ping Hsieh, Yu-Yin Wang, Tzu-Chang Lee:
GRIDS: A Geospatial AI System for Land Boundary Demarcation and Scheduling. 2519-2522 - Menghao Guo, Zeyi Sun, Siwei Xie, Jie Hu, Shanxin Sun, Xinhang Li, Lijie Wang, Linqing Feng, Jinling Jiang:
ADMP-LS: Agent-Based Dialogue and Mining Platform for Evidence-Grounded QA, Extraction, and Literature Review in Life Science. 2523-2526 - Haoying Zhang, Nicolas Anciaux, Benjamin Nguyen, José María de Fuentes:
TELESAFE: Monitoring Energy Consumption for Work-Life Boundaries in Telework. 2527-2530 - Yu Takahashi, Shun Takeuchi, Kexuan Xin, Guillaume Pelat, Yoshiaki Ikai, Junya Saito, Jonathan Vitale, Shlomo Berkovsky, Amin Beheshti:
Uncertainty-Aware Dynamic Knowledge Graphs for Reliable Question Answering. 2531-2534 - MohammadHossein Ahmadi, Amin Beheshti, Yuankai Qi, Sam Mokhtari, Maryam Khanian Najafabadi, Masako Dunn, Jonathan R. Clark:
Learning from Uncertainty: A Cloud-Based Active Learning for Detecting Bone Union in Mandibular Reconstruction. 2535-2538 - Peng Deng, Wanli Cai, Huiqi Hu, Minghao Zhao, Xuan Zhou:
HeteroDaseX: Accelerating Structured Data Analytics with a Heterogeneous Memory Cache. 2539-2542 - Barbara Hoffmann, Marcos Martínez Galindo, Ruben Mayer, Vanessa López Garcia, Thanh Lam Hoang:
Multimodal Structured Data to LLM Adaptation System. 2543-2547 - Lizhi Zhou, Jipeng Qiang, Zhicheng Fang, Jiahao Zhu, Yi Zhu, Xiaoye Ouyang:
MirrorGuard: A Multimodal Compliance Monitoring System for Livestreaming Ecommerce. 2548-2552 - Venkata Dhanush Kikkisetti, Suneela Maddineni, Patrick Y. Wu, Nathalie Japkowicz:
Emergent Racist Terminology Discovery. 2553-2556 - Junchang Xin, Mingcan Wang
Towards Lakehouse Federation in Computing Power Networks. 2557-2560 - Ashish Rana, Ammar Shaker, Sascha Saralajew, Takashi Suzuki, Kosuke Yasuda, Shintaro Kato, Toshikazu Wada, Toshiyuki Fujikawa, Toru Kikutsuji:
Prototype-Based Learning for Healthcare: A Demonstration of Interpretable AI. 2561-2564 - Lilong Liao, Yingjie Yan, Xiaojie Lin, Ali Braytee:
LaTeX-FC: Automating Latex Format Conversion Across Journals via LLMs. 2565-2568 - Gleb V. Solovev, Ivan Gurev, Anastasia Vepreva, Ivan Dubrovsky, Alina B. Zhidkovskaya, Kamil Fatkhiev, Elizaveta Lutsenko, Anastasia Orlova, Nina Gubina, Nikolay O. Nikitin, Andrei Dmitrenko, Anna V. Kalyuzhnaya:
ChemCoScientist: LLM-Based Multi-Agent Assistant for Automated Solving of Chemical Tasks Using Data-Driven Tools. 2569-2572 - Jeffrey Jenkins, Jonathan Nguyen, Lin-Ching Chang, Salam Daher
Automated 3D Wound Segmentation Using UV Based Feature Extraction and Deep Learning. 2573-2576 - Yannis Poulakis, Dimitris Petratos, Christos Doulkeridis:
PyClust: Building Meta-Learning Repositories for Clustering. 2577-2580 - Priyadarshini Tamilselvan, Gregory Bramble, Sola Shirai, Ken C. L. Wong, Md. Faisal Mahbub Chowdhury, Horst Samulowitz:
Agentic Control Center for Data Product Optimization. 2581-2584 - Jiacheng Ding, Cong Guo, Xiaofei Zhang:
ChronoConnect: Tracking Pathways Along Highly Dynamic Vertices in Temporal Graphs. 2589-2592 - Izhar Ali, Nicholas Bovee, Suraj Bitla, Gopi Krishna Patapanchala, Rajeshwari Gangoni, Shen-Shyang Ho:
Split Inference for Precision Agriculture. 2593-2596 - Yucong Dai, Lu Zhang, Feng Luo, Mashrur Chowdhury, Yongkai Wu:
FairAgent: Democratizing Fairness-Aware Machine Learning with LLM-Powered Agents. 2597-2601 - Kuan-Chieh Lo, Pranav Maneriker, Sriram Sai Ganesh, Dominik Winecki, Kelly Garrett, Ayaz Hyder, Arnab Nandi, Valerie L. Shalin, Shannon Bowen, Amit P. Sheth, Srinivasan Parthasarathy:
Crisis Observatory: Extracting Credible Signals During a Crisis in the Age of LLMs. 2602-2605 - Md. Faisal Mahbub Chowdhury, Nandana Mihindukulasooriya, Niharika S. D'Souza, Horst Samulowitz, Neeru Gupta, Tomasz Hanusiak, Michal Kapitonow:
Automatic Prompt Engineering with No Task Cues and No Tuning. 2606-2609 - Shubham Mohole, Sainyam Galhotra:
FAIR-SHEPHERD: An Interactive System for Auditable Fairness via Population-Grounded Surrogates. 2610-2613 - Christos Karanikolopoulos, Panagiotis Papadakos, Panayiotis Tsaparas:
PULSE - Polling Using LLM-based Sentiment Extraction. 2614-2617 - Zihan Guan, Hanyin Wang, Zhongliang Zhou, Qiaohui Zhou, Peining Tao, Junshui Ma:
PharmaData-Agent: A Specialized Agent for Pharmaceutical Data Analysis. 2618-2621 - Xinyue Zeng:
LensLLM: Unveiling Fine-Tuning Dynamics for LLM Selection. 2622-2631 - Jianpeng Chen:
MetamatBench: Integrating Heterogeneous Data, Computational Tools, and Visual Interface for Metamaterial Discovery. 2632-2644 - Ashish Kumar, Durga Toshniwal:
HiSLR: Sample-Specific Relationships in Hyperbolic Space for Hierarchical Text Classification. 2645-2652 - Dipak Meher, Carlotta Domeniconi:
Inside CORE-KG: Evaluating Structured Prompting and Coreference Resolution for Knowledge Graphs. 2653-2662 - Haohui Wang:
Artificial Long-Tail Intelligence. 2663-2672 - Shouvon Sarker, Xishuang Dong, Xiangfang Li, Lijun Qian:
Enhancing LLM Fine-Tuning for Text-to-SQLs by SQL Quality Measurement. 2673-2678 - Kevin Tang, Christopher Angel Peña Gonzalez, Nami Lieberman, Samantha Lee, Yuanwei Jin, Enyue Lu:
Change Detection and Land Cover Classification of Flooded Regions in UAVSAR Imagery Using Deep Learning. 2679-2688 - Cat Lewin, Rui Duan, Yugyung Lee:
Evaluating the Robustness of Invisible Watermarking Against Adversarial Attacks. 2689-2698 - Illya Gordyy
Can a Large Language Model Win a Kaggle Competition? 2699-2708 - Elizabeth Chen, Andrew Lee, Tanbir Sarowar, Xiaolin Chen:
Data-Driven Predictive Modeling of Microfluidic Cancer Cell Separation Using a Deterministic Lateral Displacement Device. 2709-2715 - Giselle Roman Barroso, Duy Ho, Luke Miller, Ahmed Alanazi, Yugyung Lee:
Trust-Aware Task Allocation With Quantum Optimization in Adversarial Multi-Agent Systems. 2716-2725 - Joseph Ko, Jaydine Stiles, Ahmed Alanazi, Luke Miller, Duy Ho, Yugyung Lee:
Resilient Multi-Agent Task Allocation Through Trust-Aware Quantum-Inspired Optimization. 2726-2735 - Brian Tekmen, Jason Yin, Qianqian Tong:
GEM-Style Constraints for PEFT with Dual Gradient Projection in LoRA. 2736-2743 - Joelle Dizon, Lauren Kwon, Caden Hicks, Ekincan Ufuktepe, Prasad Calyam, Kannappan Palaniappan:
InfectPrompt: Inducing Vulnerabilities in C/C++ Functions Using LLMs for GNN-Based Vulnerability Detection. 2744-2753 - Hamsini Gupta, Aswini Sivakumar, Huirong Fu, Yao Qiang:
PubMedRAG: Retrieval-Augmented Generation for Biomedical Question Answering. 2754-2762 - Areesh Sobhani, Qiuye He, Yugyung Lee:
Revisiting Vital Signs Inference Across Subjects with COTS mmWave Radar. 2770-2779 - Spencer Miles Buchanan, Jose Ramos, Cameron D. DiSomma, Yunxiang Zhang, Wenfeng Zhao, Xiaokun Yang:
Parameterized Hardware Generation for Mini-Float Summation-of-Absolute-Differences for AdderNet Based CNN Models. 2780-2785 - Angelo Calingo, Bikash Gautam, Peter L. Jin, Sidhya Pathak, Michelle Zhao, Hussam Fateen, Harrison Lewis, Matthias K. Gobbert, Vijay R. Sharma, Lei Ren, Ananta Chalise, Stephen W. Peterson, Jerimy C. Polf:
Large-Scale Optimizations in Proton Beam Radiotherapy by Neural Network Denoising of Robust Simulated Patient Data. 2786-2794 - James M. Wallace, Saad Hussaini, Mario M. Kubek:
Context-Aware Linking of Text Documents for Thematic Tracing. 2801-2806 - Andrew Lee, Mahir Mobarrat, Xiaolin Chen:
Periodicity-Enforced Neural Network for Designing Deterministic Lateral Displacement Devices. 2807-2815 - Danielle Murphy, Kevin Zhang, Caleb Parten, Autumn Sterling, Haoxiang Zhang, Xingyan Li, Jordan A. Caraballo-Vega, Jie Gong, Mark L. Carroll, Jianwu Wang:
Deep Learning Approaches for Cloud Property Retrieval: Comparing Foundation Model Fine-Tuning with Training From Scratch. 2816-2825 - Zach Lawrence, Jessica Yao, Chris Qin:
Deep Learning for Modeling and Dispatching Hybrid Wind Farm Power Generation. 2826-2835 - Elijah Sagaran, Martin Ha, Olena Molla, Shanlin Qian, Rahi Misra, Mario Giraldo, Rashida Hasan
A Comparative Analysis of Object Detection Models for Plant Leaf Counting Under Overlapping Foliage Conditions. 2836-2843 - Jamie Livers, Nicholas Johnson, Kyle Dylan Spurlock, Olfa Nasraoui:
When Splits Matter: Interpreting Disaster Tweet Classification Models. 2844-2851 - Owen Beabout, Abigail Dodd, Titus Murphy, Enyue Lu:
Mitigating Catastrophic Forgetting Using Improved Clustering-Based Episodic Memory. 2852-2859 - Camden Baucom, Imani Allah, Jelani Beaugris, Chloe Bogen, Rylee Brown, John Cheek, Kathleen Higgins, Erin Kendall, Charles Prince, Unzila Sakina, Riley Stacy, Sultana Yeasmin, Mohamed Ahmed, Rebecca Ansell, Lisa Singh:
Using Stance Detection Models to Improve Our Understanding of the Firearm Policy Debate on Social Media. 2860-2869 - Alex Liu, Haomin Zhuang, Olaf Wiest, Ying Cheng, Xiangliang Zhang:
Leveraging Hybrid Representations for Robust Molecular Property Prediction in Low-Data Regimes. 2870-2879 - Joseph Schmidt, Anthony Romano, Ademola Adesokan, Sanjay Madria:
CRISIS: Classification of Response Intent via Social Media for Improved Support. 2880-2889 - Matthew W. Chen, Yang Yan, Xinglei Shen, Hao Gao, Zhong Chen:
Probabilistic Prompts for Zero-Shot and Few-Shot Large Language Models: An Empirical Study of Patient-Reported Outcomes. 2897-2901 - Samaksh Bhargav, Zining Zhu:
Feature-Guided SAE Steering for Refusal-Rate Control using Contrasting Prompts. 2902-2907 - Eric C. Wang, Jason Parton:
Dimension Reduction Enhanced Boosting for Imbalanced Data Classification. 2908-2912 - Albert Li, Jacob Wu, Li Lei, Linda Shi, Fei Xia:
Hyperspectral Band Selection with Learnable Weights for Efficient Glioblastoma Detection. 2913-2917 - William Guo, Ana Smith, Adaku Uchendu:
Signature Vs. Substance: Evaluating the Balance of Adversarial Resistance and Linguistic Quality in Watermarking Large Language Models. 2918-2922 - Raymond Jiang, Abdullah Irfan Siddiqui, Srijit Bhattacharya, Mohammad Husain:
Performance Evaluation of Convolutional Neural Networks in Image-Based Malware Classification. 2923-2928 - Annie Wu:
Machine Learning-Based Classification of Transcriptional Gene Groups for Cancer Prognosis. 2929-2932 - Srikar Akundi:
AI-Powered Trait Analysis for Poisonous Mushroom Classification. 2933-2937 - Sarah Li, Ziyu Yao:
Evaluating the Effectiveness of Persona Simulation in Opinion Prediction with GPT-4.1. 2938-2942 - Medhashree Parhy, Dan Goldwasser:
Persona-Driven LLM Interaction in Stock Market Simulations. 2943-2948 - Dron Datta
Evaluating the Code Generation Capabilities of Popular Large Language Models for Front-End Web Development Using Neighborhood Pixel Similarity. 2949-2953 - Connor Lee, Bin Dong, Linsey Pang:
LLM Powered Sequential Recommender. 2954-2956 - Michael Liu, Qi Long, Inyoung Choi:
Graph-LLM for EHRs: Combining Temporal Graph Representations and LLM-Based Note Imputation for Clinical Predictions. 2957-2961 - Vivian Li, Manikandan Ravi, Manan Anjaria, Akhil Bheemreddy, Gail F. Forrest:
Systematic Comparison of Artifact Removal Techniques for Reliable Feature Extraction from scTS-Contaminated EMG. 2962-2966 - Jay Peng, Feifei Wang:
Integrative Transcriptomic and Functional Analysis of CRP-Induced Endothelial Dysfunction and Replication Stress. 2967-2972 - Neel Dhuruva:
Forecasting U.S. Recessions with Machine Learning: Evidence from Ten Economic Indicators, 1978-2025. 2973-2977 - Cooper Li, Zhihao Wang, Yiqun Xie:
Multimodal Foundation Models as Router Models for High-Resolution Aerial Image Segmentation. 2978-2982 - Sidh Jaddu, Jordan A. Caraballo-Vega, Jie Gong:
Predicting Vertical Cloud Type Structure with GOESABI Multi-Channel Passive Satellite Imagery Data Using Deep Learning and Foundation Models. 2983-2987 - Connor Lee, Arthon Greenspan, William Chang, Veronica Gomez-Godinez, Linda Shi:
Automated Analysis of Astrocyte Cell Connectivity After Laser Ablation Using Machine Learning and Path-Finding Algorithms. 2988-2992 - Christian Shun Jin, Xiaodong Qu:
EEG EyeNet: Strong, Insightful Baselines for Eye-Movement Prediction from EEG. 2993-2996 - Winston Zhang, Mia Lu:
Bringing Optimization to Everyone: Exploring LLMs as a Tool for Non-Experts and Students. 2997-3001 - Daniel G. Li, Can Li, Nickolay A. Krotkov:
Deep Learning to Denoise and Segment Air Pollutant Plumes. 3002-3006 - Duan D. Wang, Peng Xia, Huaxiu Yao:
Grounded Chest X-Ray Reasoning: Leveraging Visual Tools to Improve Medical Multimodal LLMs. 3007-3011 - Helen T. Qin:
Lost in Transcription: Influence of Dialect on Whisper's Performance. 3012-3016 - Reeti Rout
Data-Driven Weakly-Supervised Methods Successfully Denoise Diverse Biomedical Imaging Modalities. 3017-3021 - Avani Thakur, Aditya Narasimhan Sampath, Siddharth Krishnan:
An Agentic Framework for Social Event Forecasting: Approaches Using Causality Contextualized Chain of Thought. 3022-3026 - Amy Ma, Natasha Zhang Foutz, Ramon W. Breeden:
Mining Mobile Point-of-Interest Visit Data for Socioeconomic Insights. 3027-3031 - Victor W. Tang, Lan Cao:
AI or Humans: Who Understands Online Emotions Better? 3032-3036 - Christian Shun Jin, Stanley Zhan:
Interactive 3D Spine Modeling for Enhanced Doctor-Patient Communication and Health Literacy. 3037-3040 - Rhea Zhou:
Quantifying Biopharma Alliance Fragility Using a Strategic Shock Risk Index (SSRI). 3041-3045 - Andrew Meng, Zhiqian Chen:
Deep Gaussian Fusion Network for Traffic Prediction. 3046-3050 - Andrew J. Chen, Raymond Zhao, Lingjia Liu:
ESN-DAGMM: A Lightweight Framework for Unsupervised Time-Series Data Monitoring in 5G O-RAN Networks. 3051-3055 - Ethan Xu:
Dynamics of Fencer Rating Progression. 3056-3060 - Amanda Liang, Sarah Wu:
Heatwaves and Health Risks in New York City. 3061-3065 - Ayesha Faruki
Assessing Bias Within Diabetes Risk Prediction in Machine Learning Techniques. 3066-3071 - Anvitaa Rudharraju:
Interpretable Deep Learning Framework for the Diagnosis of Age-Related Macular Degeneration from Retinal Fundus Images. 3072-3075 - Andrew Liu, Chunxiao Lin, Daniel Rosen, Yang Yi:
Echo State Networks in Reservoir Computing: Foundations, Benchmarks, and Applications to Next-G Wireless Communication. 3076-3080 - Alina Liu, Christopher Hill, Jiachen Jiang, Zhihui Zhu:
Can Reasoning LLMs Eliminate Conformity in Multi-Agent Systems? 3081-3086 - Johnson Chen, Joshua Quintano, Yao Qiang:
FinFraud-LLM: Exploring Large Language Models for Financial Fraud Detection. 3087-3091 - Sierra S. Liu:
Assessing Cognitive Biases in LLMS for Judicial Decision Support: Virtuous Victim and Halo Effects. 3097-3101 - Caroline Fu, Max Ritter, Shengze Diao, Fang Jin:
Few-Shot Learning Meets Large Language Models: Mining Medicine Interventions from Reddit. 3102-3106 - Alexander Lu, Wangzhi Zhan, Jianpeng Chen, Dawei Zhou:
MetaRef: A Generalizable Physics-Aware Refinement Framework for Metamaterial Design. 3107-3111 - Jerry Wang, Bowen Jing, Baowei Fei:
Uncertainty Quantification in Deep Learning Based Breast Cancer Diagnosis Using Dynamic Contrast Enhanced MRI (DCE-MRI) and Treatment Response Assessment Maps (TRAMs). 3112-3116 - Irene Lu, Kaiwen Zhao, Emily Liu, Mandy Hung, Richard Song, Chris Lin, Andrew Cha, Yingying Zou, Linda Shi:
Hybrid BiLSTM-RF Framework for Lithium-Ion Battery State of Health and RUL Prediction. 3117-3121 - Joann Xie, Charita S. Potluri, Farah Chen, Rand Kingsford, Ashley Tamura
Application of Object Segmentation Model in Contact Angle Measurement for Hydrophobicity Determination. 3122-3125 - Mellanie Martin, Abdi Yamil Vicenciodelmoral, Xinghui Zhao:
Enhancing On-Chip Learning for RRAM Devices Through Evolutionary Theories. 3126-3131 - Max T. Yu, Anuththari Gamage, Junjie Luo:
Statistical Mining of Patient Reviews for Geographic Insights on Quality of Urological Care: A Pilot Study. 3132-3136 - Nathan He, Cody Chen:
Enhancing Radiographic Disease Detection with Metachex, a Context-Aware Multimodal Model. 3137-3141 - Ziqi Zhou, Hongming Chen, Chenhe Zhang, Chenrui Wu, Zichen Xu:
Efficient Semantic-based Video Segment Querying. 3142-3147 - Wenhao Hu, Junyi Zhang, Zhao Jin, Zichen Xu, Chengbin Hu, Pingye Wang:
Graph Perspective on Multi-Modal Streams Analysis and Prediction. 3148-3153 - Swarnika Joshi, Kshitij S. Jadhav:
Contrastive Retrieval Augmented in-Context Learning for Medical Classification Tasks with Imbalanced Data. 3154-3158 - Aryan Poduri:
Adaptive Execution Scheduler for DataDios SmartDiff. 3159-3162 - Atharva Kakatkar:
AI-Assisted Safe Drop Zone Identification for Human-Guided Drone Deliveries. 3163-3165 - Isabella Cho:
A Resnet and ViT-U-Net Hybrid Model for Accurate FVM Flooding Simulations. 3166-3170 - Sirichandana Yakkala
Predicting Residual Cognitive Deficit Post-Ischemic Stroke: An Imbalance-Aware Machine Learning Pipeline on EHR Data. 3171-3175 - Zakariyya Scavotto, Xiaoxue Han, Yue Ning:
Learning for Inflation Forecasting with Dynamic Feature Spaces. 3176-3181 - Lucas Yang, Heng Tan, Yu Yang:
Transforming Color Correction for Colorblindness with Hydrodynamic Modeling and Deep Learning-Based Validation. 3187-3191 - Ateef Mahmud:
A Critical Analysis of a Multi-Input Cnn Architecture for Quantum-Enhanced Forecasting. 3192-3196 - Isabel Xiong:
An Analysis of Gender-Based Differential Item Functioning in the PISA 2018 and 2022 Cycles. 3197-3201 - Srikar Kovvali:
SmartPharynx: A Camera-Based Smartphone System for Screening of Bacterial Pharyngitis with a Low-Shot CycleGAN and Custom CNN. 3202-3206 - Yuanheng Mao, Lillian Yang, Stephen Yang, Ethan Shao, Zihan Li:
DETECT: Data-Driven Evaluation of Treatments Enabled by Classification Transformers. 3207-3211 - Zeyuan Zhao, Yexiao He, Ang Li:
Privacy-First Triage Classification with Open-Weight LLMs: A Chain-of-Thought Distillation Approach. 3212-3216 - Shriraghav Ashok:
FS-PREM: A Physics-Aware Framework for Predicting Port Disruption. 3217-3221 - Jerod Zhao, Brian Hong:
Early Wildfire Detection with UAVs using a Frame Difference Method. 3222-3226 - Haiyi Liu, Yifang Qin, Ming Zhang:
QuizWhiz: An End-to-End AI-Powered Educational Platform for K-12 Intelligent Tutoring and Teaching Analytics. 3227-3231 - Sophia Sun, Vivian Foutz, Hanbing Xue:
Interpretable Feature Mining for AI Product Design. 3232-3237 - Praislin Peter, Rema M. Amawi, Khalil Al-Hussaeni, Naglaa S. Ashmawy:
An Empirical Approach Toward Understanding the Impact of Essential Oils on Alzheimer's Disease Progression. 3244-3249 - Caroline Zhao, Chuanren Liu:
Data Insights into Teen Consumer Trends: From Kaggle to Knoxville. 3250-3254 - Samson Mathew, Zonghua Gu:
Can Small Quantized VLMs Drive? An Experimental Evaluation of Small Quantized VLMs for Autonomous Driving. 3255-3262 - Rahul Das, Qiong Cheng:
GraphRAG-Augmented Mastery Modeling for Student Programming Learning Trajectory Prediction and Explanation Via Fuzzy Clustering. 3263-3268
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