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ORCIDICDM 2024: Abu Dhabi, UAE - Workshops
- IEEE International Conference on Data Mining, ICDM 2024 - Workshops, Abu Dhabi, United Arab Emirates, December 9, 2024. IEEE 2024, ISBN 979-8-3315-3063-1
- Abhishek Kulkarni, Sumit Kumar Dutta, Sivaram Prasad Mudunuri, Kamiya Motwani, Rahul Ghosh:
From Connections to Conversions: Enhanced Product Knowledge Graph Embeddings for E-commerce Recommendations. 1-8 - Hyunseok Seung
, Jaewoo Lee, Hyunsuk Ko:
An Adaptive Method Stabilizing Activations for Enhanced Generalization. 9-16 - Yong Shi, Ruijie Xu, Zhiquan Qi:
Outlier Exposure in Visual Industrial Anomaly Detection - Survey. 17-24 - Yong Shi, Mengjin Lyu, Zhiquan Qi:
Structure Aware Loss for Deep Unsupervised Industrial Image Registration. 25-32 - Linzi Zhang:
Detecting Multi-Modal Fake AIGC from the Perspective of Emotional Manipulation Purpose. 33-39 - Heng Lian, Yi He:
Urban Functional Zone Delineation Aided by Vision Foundation Models. 40-43 - Lujia Lv, Di Wu, Yangyi Xia, Jia Wu, Xiaojing Liu, Yi He:
Differential Evolution Integrated Hybrid Deep Learning Model for Object Detection in Pre-made Dishes. 44-50 - Saori Matsunaga, Genta Yoshimura:
Efficient and High-Quality Formal Verification for Decision Tree Ensembles. 51-58 - Sakib Shahriar, Rozita Dara:
PriSM: Privacy-Preserving Social Media Text Processing and Analytics Framework. 59-66 - Zhiqiang Wang, Yiran Pang, Yanbin Lin, Xingquan Zhu:
Adaptable and Reliable Text Classification using Large Language Models. 67-74 - Kadhim Hayawi, Sakib Shahriar:
Care-by-Design: Enhancing Customer Experience through Empathetic AI Chatbots. 75-81 - Venkataramana Kini, Charlie Xu, Ravi Divvela, Unmesh Phadke, Fei Wang, Zhen Wen:
Customer Engagement Journey Driven Propensity Model for Home Page Composition. 82-88 - Andrew Starnes, Clayton G. Webster:
Mamba for Scalable and Efficient Personalized Recommendations. 89-96 - Lester David Dsouza, Jamal Abdul Nasir, Muhammad Mohsin Kamal, Lena Connolly:
Leveraging Large Language Models for Predicting Stock Option Valuation and Financial Risk Mitigation. 97-105 - Nathaniel Lee, Noel Ngu, Harshdeep Singh Sahdev, Pramod Motaganahall, Al Mehdi Saadat Chowdhury, Bowen Xi, Paulo Shakarian:
Metal Price Spike Prediction via a Neurosymbolic Ensemble Approach. 106-110 - Baptiste Lefort, Eric Benhamou, Jean-Jacques Ohana, Beatrice Guez, David Saltiel:
Sentiment Score of Bloomberg Market Wraps with ChatGPT. 111-116 - Shuoling Liu, Gaoguo Jia, Dongsheng Gu, Liyuan Chen, Qiang Yang:
The Chain of Narrative Framework: Advancing Controllable Generation of Financial Themes. 117-124 - Shameem Puthiya Parambath, Saleh Abdullah M. Alfahad, Christos Anagnostopoulos, Kostas Kolomvatsos:
Sequential Block Elimination for Dynamic Pricing. 125-129 - Jian Zhang, Zemin Xu, Lifang Liu, Zhanfeng Shen, Yue Cui, Yongdong Zhang:
Multi-Agent Based Casual Triple Extraction For Factuality Evaluation Using Large Language Models. 130-136 - Faseela Abdullakutty, Somaya Al-Máadeed, Usman Naseem:
Context-Aware Offensive Meme Detection: A Multi-Modal Zero-Shot Approach with Caption-Enhanced Classification. 137-145 - Ali Anaissi, Ali Braytee, Junaid Akram:
Fine-Tuning LLMs for Reliable Medical Question-Answering Services. 146-153 - Md. Mithun Hossain, Md Shakil Hossain, Sudipto Chaki, Md. Saifur Rahman, Mohammad Ali Moni:
Bengali Cyberbullying: Detection, Categorization, and Gender Bias Analysis. 154-163 - Cheng Qian, Xianglong Shi, Shanshan Yao, Yichen Liu, Fengming Zhou, Zishu Zhang, Junaid Akram, Ali Braytee, Ali Anaissi:
Optimized Biomedical Question-Answering Services with LLM and Multi-BERT Integration. 164-173 - Hariram Veeramani, Surendrabikram Thapa, Mohammad Salman, Mohammad Ali Moni, Usman Naseem:
UMML: Layout-aware Text-Image Fusion for Unified Multilingual Multimodal Learning. 174-182 - Yinghui Zhang, Tailin Chen, Yuchen Zhang, Zeyu Fu:
Enhanced Multimodal Hate Video Detection via Channel-wise and Modality-wise Fusion. 183-190 - Sharareh Alipour, Sobhan Ebrahimi:
A New Index for Computer Science Conferences and Its Applications: The S-Index. 191-196 - Aniket Bhanderi, Raj Bhatnagar:
Incremental Gaussian Mixture Clustering for Data Streams. 197-204 - Jakub Klikowski, Michal Wozniak:
Non-stationary Imbalanced Data Stream Classification with Weighted One-Class Ensemble. 205-212 - Joanna Komorniczak, Pawel Ksieniewicz:
Classification of Recurrent Concepts with Metafeature-based Model Selection. 213-220 - Marek Pawlicki, Aleksandra Pawlicka, Ryszard S. Choras, Rafal Kozik, Michal Choras:
Semi-Supervised Learning Trumps Active Learning in Cold-Starting Netflow-Based AI Network Intrusion Detection Systems on Scarce and Difficult Data. 221-228 - Amal Saadallah:
Online Adaptive Local Interpretable Tree Ensembles for Time Series Forecasting. 229-237 - Weronika Wegier, Maciej Maczynski, Michal Wozniak:
Changing Lineup Classifier Ensemble for Drifting Imbalanced Data Streams. 238-245 - Pawel Zyblewski, Leandro L. Minku:
Cross-Modality Clustering-based Self-Labeling for Multimodal Data Classification. 246-253 - Marco Di Gennaro, Francesco Panebianco, Marco Pianta, Stefano Zanero, Michele Carminati:
Amatriciana: Exploiting Temporal GNNs for Robust and Efficient Money Laundering Detection. 254-261 - Oscar M. Granados, Olmer Garcia-Bedoya, Edwin González:
GAN+ABM to Simulate Suspicious Money Laundering Trajectories. 262-269 - Aikaterini Karampasi, Panagiotis I. Radoglou-Grammatikis, Marek Pawlicki, Ryszard Choras, Ramon Martín de Pozuelo, Panagiotis G. Sarigiannidis, Damian Puchalski, Aleksandra Pawlicka, Rafal Kozik, Michal Choras:
Towards Transparent AI-Powered Cybersecurity in Financial Systems: The Deployment of Federated Learning and Explainable AI in the CaixaBank pilot. 270-277 - Ivan P. Malashin, Igor S. Masich, Aleksei S. Borodulin, Vladimir Viktorovich Bukhtoyarov, Vladimir A. Nelyub, Vadim Tynchenko:
Anomaly Detection in Financial Data Using GA-Optimized MLP Models. 278-285 - Bo Qu, Zhurong Wang, Minghao Gu, Daisuke Yagi, Yang Zhao, Yinan Shan, Frank Zahradnik:
Multi-task CNN Behavioral Embedding Model For Transaction Fraud Detection. 286-292 - M. Luqman Jamil, Sebastião Pais, Andrés Caro, João Cordeiro:
Emotion Retrieval Using Generative Models: An Exploratory Study. 293-299 - Mark Kim, Arno Puder, Craig Hayward, Hui Yang:
Foundation Models for Course Equivalency Evaluation. 300-306 - Yaqi Wang, Haipei Xu:
SRSA: A Cost-Efficient Strategy-Router Search Agent for Real-world Human-Machine Interactions. 307-316 - Daniyal Kazempour, Claudius Zelenka, Atakan Kara, Andreas Lohrer, Peer Kröger:
Do good scores imply good embeddings? On the necessity of inspecting manifold learning evaluation results by multiple criteria. 317-324 - Daniyal Kazempour, Claudius Zelenka, Artjom Mukhamedov, Peer Kröger:
Not the same, yet similar? - On commonalities and differences between VQPCA and ORCLUS. 325-332 - Yamonporn Thummanusarn, Ata Kabán:
Data Complexity via Random Projection. 333-340 - Anuarag Yadav, Rohit P. Singh, Philip A. Wilsey:
Resource Efficient Delaunay Triangulation for Higher Dimensional Topological Studies. 341-348 - Taehyung Yu, Soo Yong Lee, Hyunjin Hwang, Kijung Shin:
Prediction Is NOT Classification: On Formulation and Evaluation of Hyperedge Prediction. 349-356 - Shajina Anand:
Trust-based positional forgery detection in AI-driven autonomous intersection management using hybrid graph-based reinforcement learning. 357-363 - Rafal Kozik, Szymon Bus, Grzegorz Gawdzik, Marek Pawlicki, Aleksandra Pawlicka, Michal Choras:
Real-world Application Facilitating Trustworthy Human-Robot Collaboration with Innovative Explainable Neuro-symbolic Reasoning. 364-371 - Tien Anh Tran, Sathishkumar Veerappampalayam Easwaramoorthy:
Energy-efficiency Management Framework of a Ship based on Data Classification Technique. 372-377 - Shahed Hossain, Md. Zahid Hasan, Risul Islam Jim, Taslima Ferdaus Shuva, Md. Tanvir Rahman, Abdullah Al-Mamun Bulbul, Risala Tasin Khan, M. Shamim Kaiser, Mohammad Ali Moni:
GDRNet: A Novel Graph Neural Network Architecture for Diabetic Retinopathy Detection. 378-387 - Gunasekaran Raja, Selvam Essaky, Surya Raj Muthu, Babith Sarish Suresh, Jaehyuk Cho, Seohyun Yoo, Sathishkumar Veerappampalayam Easwaramoorthy:
CardioNetFusion: A Deep Learning and Explainable AI Integrated System for Cardiovascular Disease Detection. 388-395 - Sathishkumar Veerappampalayam Easwaramoorthy, Neelakandan Subramani, Angela Siew-Hoong Lee:
Smart Contract-Driven Pandemic Management Using Blockchain Technology and Artificial Intelligence. 396-404 - Zhipeng Yin, Sameeksha Agarwal, Ayesha Kashif, Matthew Gonzalez, Zichong Wang, Suqing Liu, Zhen Liu, Yanzhao Wu, Ian Stockwell, Weifeng Xu, Puqing Jiang, Xingyu Zhang, Wenbin Zhang:
Accessible Health Screening Using Body Fat Estimation by Image Segmentation. 405-414 - Anagha Ani, Erik Cambria:
Multilingual Sentiment Analysis for Investigating Perceptions of Globalization. 415-422 - Teddy Ferdinan, Jan Kocon, Przemyslaw Kazienko:
Into the Unknown: Self-Learning Large Language Models. 423-432 - Donghao Huang, Xiuju Fu, Xiaofeng Yin, Haibo Pen, Zhaoxia Wang:
Automating Maritime Risk Data Collection and Identification Leveraging Large Language Models. 433-439 - Sadegh Jafari, Mahsa Farsouni Nezhad, Melika Nobakhtian, Arash Chaichi Mellatshahi, Amirmohammad Kazemeini:
A Silent Voice: A Bilingual Longitudinal Analysis of Mahsa Amini's Movement Tweet. 440-444 - Jinjing Jiang, Nicole Anne Teo Huiying, Haibo Pen, Seng-Beng Ho, Zhaoxia Wang:
Converting Vocal Performances into Sheet Music Leveraging Large Language Models. 445-452 - Agnieszka Karlinska, Piotr Milkowski, Paulina Czwordon-Lis, Bartlomiej Koptyra, Jan Kocon:
Comprehensive Sentiment Analysis of Polish Book Reviews Using Large and Small Language Models. 453-462 - Bartlomiej Koptyra, Marcin Oleksy, Ewa Dzieciol, Jan Kocon:
Small Language Models for Emotion Recognition in Polish Stock Market Investor Opinions. 463-470 - Pragati Maheshwary, Qiawen Liu, Rui Mao:
Investigating the Role of Metaphors in Human-AI Conversation and Engagement. 471-478 - Keane Ong, Rui Mao, Deeksha Varshney, Ranjan Satapathy, Erik Cambria, Gianmarco Mengaldo:
Sentiment Analysis on Climate Change for Sustainable Investment. 479-486 - Zounachuan Sun, Ranjan Satapathy, Daixue Guo, Bo Li, Xinyuan Liu, Yangchen Zhang, Cheng-Ann Tan, Ricardo Shirota Filho, Rick Siow Mong Goh:
Information Extraction: Unstructured to Structured for ESG Reports. 487-495 - Jayant Teotia, Xulang Zhang, Rui Mao, Erik Cambria:
Evaluating Vision Language Models in Detecting Learning Engagement. 496-502 - Wihan van der Heever, Ranjan Satapathy, Erik Cambria, Rick Siow Mong Goh:
Neurosymbolic AI for Mining Key Aspects of Socially Responsible Investing. 503-510 - Stanislaw Wozniak, Bartlomiej Koptyra, Arkadiusz Janz, Przemyslaw Kazienko, Jan Kocon:
Personalized Large Language Models. 511-520 - Kaicheng Xue, Xulang Zhang, Rui Mao, Erik Cambria:
Understanding the Hidden State of Language Models from the Perspective of Sentiment Analysis. 521-528 - Ines Hadjadji, Nour El Islem Karabadji, Hassina Seridi, Naouel Manaa, Mohamed Elati, Wajdi Dhifli:
Optimizing MLP Network Structure for Classification Problems Using PSO and Dominating Vertex Set. 529-534 - Simão Paredes, Teresa Rocha, Sónia Sousa, Jorge Henriques, José Sousa, Lino Gonçalves:
Trust in Machine Learning Models: Global and Individual Assessment. 535-542 - Aleksandra Pawlicka, Marek Pawlicki, Dagmara Jaroszewska-Choras, Rafal Kozik, Michal Choras:
Enhancing Clinical Trust: The Role of AI Explainability in Transforming Healthcare. 543-549 - José Sousa, Simão Paredes, Jorge Henriques, Lino Gonçalves, Teresa Rocha:
Pointwise reliability metrics for machine learning model predictions: three different approaches. 550-555 - João Trovão, Jorge Henriques, Lorena Petrella, Madalena Trindade, João Loureiro:
Pointwise Reliability Assessment: Density vs. Local Fit Methods. 556-563 - Zhan Zhao, Paulo Gil, João Loureiro, Lorena Petrella, Jorge Henriques:
Reliability assessment of models for risk stratification: A knowledge-based approach. 564-571 - Sandeep Chougule, Vaishali Sadaphal:
Generative-Graph Method for Project Duration Estimation. 572-579 - Robert B. Gommerman, Eiji Motohashi:
A Comparative Analysis of User-Generated Content Across Gaming Platforms Using Deep Learning-Based Topic Modeling. 580-587 - Genki Katsumata, Eiji Motohashi:
Prediction and Interpretation of Vacancy Duration in Rental Properties Using Geographic Data. 588-594 - Masaya Oirase, Eisuke Kita:
Data Augmentation Using Generative AI In Tomato Leaf Lesion Classification Problems. 595-599 - Satya Narayana Samudrala, Uday Chandra Bhookya, Maitreya Natu:
Mining patterns for proactive management of procure-to-pay exceptions. 600-605 - Aakash Swami, Narendhar Gugulothu, Tirumala V, Sanjay Bhat:
A Data-Driven Approach for Ancillary Bundle Recommendation to Segmented Users. 606-612 - Shusaku Tsumoto, Tomohiro Kimura, Shoji Hirano, Katsutoshi Yada:
Temporal Data Mining in AI-based Patient Navigation Service. 613-621 - Katsutoshi Yada, Tomoya Ikeda, Genki Yoshida, Takahiro Hakozaki, Ken Matsumoto, Shusaku Tsumoto:
Covid-19 and Multichannel Customers. 622-625 - Nao Yuasa, Daisuke Minamisawa, Ayana Takai, Masaya Oirase, Eisuke Kita:
Discrimination Of Brown Spot Leaf Disease From RGB Data Of Image. 626-631 - Maraz Mia, Mir Mehedi A. Pritom, Tariqul Islam, Kamrul Hasan:
Visually Analyze SHAP Plots to Diagnose Misclassifications in ML-based Intrusion Detection. 632-641 - Krishna Yadav, Harshit Chaubey, Rajesh Sah:
Enhancing IoT Intrusion Detection through Vertical Federated Learning and Latent Space Mapping. 642-649 - Yiwei Zhang, Rouzbeh Behnia, Attila A. Yavuz, Reza Ebrahimi, Elisa Bertino:
Uncovering Attacks and Defenses in Secure Aggregation for Federated Deep Learning. 650-656 - Hajar Homayouni, Hamed Aghayarzadeh, Indrakshi Ray, Hossein Shirazi:
Anomaly Detection and Interpretation from Tabular Data Using Transformer Architecture. 657-664 - Cong Li, Qingqing Long, Yuanchun Zhou, Meng Xiao:
SCREADER: Prompting Large Language Models to Interpret scRNA-seq Data. 665-672 - Jolanta Mizera-Pietraszko, Jolanta Tancula:
Heisenberg Algebra Implementation to AAG Algorithm for Secure Data Transfer in IoT Networks. 673-681 - Jolanta Mizera-Pietraszko, Jolanta Tancula:
Formal Classifier of a Rhythmic Structure Model for Inference about Linguistic Text Properties. 682-687 - Dagyeong Na, Junseok Kwon:
MRDiff: Time Series Anomaly Detection Using Multi-level Reconstruction Diffusion. 688-695 - Pawel Parczyk, Tobiasz Puslecki, Robert Burduk:
On the classification of weather based on the production of photovoltaic installations. 696-703 - Beomsu Kim, Sangbum Kim, Minchan Kim, Joonyoung Yi, Sungjoo Ha, Suhyun Lee, Youngsoo Lee, Gihoon Yeom, Buru Chang, Gihun Lee:
CUPID: A Real-Time Session-Based Reciprocal Recommendation System for a One-on-One Social Discovery Platform. 704-713 - Wutao Wei, Sara Isaac, Alex Ting, Yuanqi Wang, Ke Zhu, Sophine Zhang:
Measuring the user experience on network assurance. 714-717 - Trang Do, Richard Kim, Scott Auerbach, Warren M. Casey, Andrew A. Rooney, Guojing Cong:
Cross-tissue, Cross-platform Prediction and Validation of Toxicogenomics Profiles with Deep Learning and Clustering. 718-725 - Collin Leiber, Niklas Strauß, Matthias Schubert, Thomas Seidl:
Dying Clusters Is All You Need - Deep Clustering With an Unknown Number of Clusters. 726-733 - Zeinab Sadat Sadrolhefazi, Hadi Zare, Seyyed Amir Asghari, Parham Moradi, Mahdi Jalili:
Unsupervised Graph-Based Anomaly Detection Using Variational Autoencoder. 734-741 - Cédric Noel, Jang Schiltz:
Finite Mixture Models for an underlying zero-one inflated Beta Distribution. 742-747 - Malgorzata Charytanowicz, Kajetan Perzanowski, Maciej Januszczak, Aleksandra Woloszyn-Galeza, Maria Sobczuk, Piotr Kulczycki:
A New Approach Towards Identification of Individuals Belonging to Different Subpopulations Using Machine Learning Models and CLC Data. 748-755 - Chetan Mahajan, Rajat C. Shinde, Gérald Fenoy, Surya S. Durbha:
Landslide-as-a-Service: Standards-driven Landslide Mapping Framework using Machine Learning and GeoDataCube. 756-761 - Jiechao Gao, Yuangang Li, Syeda Faiza Ahmed:
Fed-LDR: Federated Local Data-infused Graph Creation with Node-centric Model Refinement. 762-769 - Sohei Kodama, Shin Ando:
Neighborhood Spatio-temporal Self-Attention for Crowd Flow Prediction. 770-777 - Md Mahin, Aparna Budhavarapu, Karima Elgarroussi, Ernst L. Leiss, Christoph F. Eick:
Sirius: A Density-based Colocation Mining Framework for Sets of Continuous Spatial Variables. 778-785 - Harshitaa Yarramsetti, Kritika Javali, Mukund Logasundar, Richard Li, Ranga Raju Vatsavai:
A Deep Learning Based Cloud Imputation Framework. 786-793 - Han Qiao:
Deep Entire Space Cross Networks for Estimating Treatment Effect Under Unmeasured Confounding. 794-799 - Xinghang Hu:
M3-InvRL: Multimedia Model Merging Invariant Representation Learning for Recommendation. 800-804 - Haotian Wang, Hao Zou, Xueguang Zhou, Shangwen Wang, Long Lan, Wenjing Yang, Peng Cui:
Learning Feasible Causal Algorithmic Recourse without Prior Structure. 805-813 - Meilin Wang, Wei Huang, Zheng Zhang:
Projection Pursuit Based Density Ratio Estimation. 814-819 - Tianjun Yao, Yongqiang Shen, Zhiqiang Shen, Kun Zhang:
Learning Invariant Features on Graphs by Disentangling Spurious Features. 820-827 - Chunyuan Zheng, Taojun Hu, Chuan Zhou, Xiao-Hua Zhou:
UMVUE-DR: Uniformly Minimum Variance Unbiased Doubly Robust Learning with Reduced Bias and Variance for Debiased Recommendation. 828-832 - Kamil Szyc, Tomasz Walkowiak, Henryk Maciejewski:
Beyond Overall Accuracy: Exploring Per-Class Performance Reveals Robustness and Safety Gaps in Deep Models. 833-841 - Jan Wasilewski, Michal Wozniak, Bartosz Krawczyk:
Combining Active Learning and Self-Labeling for Deep Learning from Data Streams. 842-849 - Lisa Chabrier, Anton Crombach, Sergio Peignier, Christophe Rigotti:
Detecting gene regulatory network rewiring as changes in marker regulatory associations using only single-cell gene expression data. 850-858 - Akash Choudhuri, Philip Polgreen, Alberto M. Segre, Bijaya Adhikari:
Summarizing Clinical Notes using LLMs for ICU Bounceback and Length-of-Stay Prediction. 859-866 - Marco Fuchs:
Structural Breakpoint Detection in Noisy Time Series Using an Augmented Matrix Profile Index. 867-876 - Zhichao Yu, Simon James Fong, Liming Zhang, Tengyue Li, Xin Zhang:
Automated Detection and Quantitative Assessment of Extranodal Extension in Lymph Node Breast Tumors Using Dual-Tier Deep Learning and Density-Based Contour Algorithms. 877-886 - Matvey Gerasyov, Dmitrii Kiselev, Maxim Beketov, Ilya Makarov:
VIA AI: Reliable Deep Reinforcement Learning for Traffic Signal Control. 887-890 - Xiachong Lin, Arian Prabowo, Imran Razzak, Hao Xue, Matthew Amos, Sam Behrens, Flora D. Salim:
BiTSA: Leveraging Time Series Foundation Model for Building Energy Analytics. 891-894 - Ildar Nurgaliev, Andre Kuzminykh, Andrey V. Savchenko, Ilya Makarov:
Go-Kart Racing Simulator for Reinforcement Learning with Augmented Sim2Real Adaptation. 895-898 - Maxim Novopoltsev, Aleksandr Tulenkov, Ruslan Murtazin, Roman Akhidov, Iuliia Zemtsova, Emilia Bojarskaja, Daria Bondarenko, Andrey V. Savchenko, Ilya Makarov:
Video-based learning of sign languages: one pre-train to fit them all. 899-902 - Nikita Severin, Aleksei Ziablitsev, Yulia Savelyeva, Valeriy Tashchilin, Ivan Bulychev, Mikhail Yushkov, Artem Kushneruk, Amaliya Zaryvnykh, Dmitrii Kiselev, Andrey V. Savchenko, Ilya Makarov:
LLM-KT: A Versatile Framework for Knowledge Transfer from Large Language Models to Collaborative Filtering. 903-906 - Tong Xie, Hanzhi Zhang, Shaozhou Wang, Yuwei Wan, Imran Razzak, Chunyu Kit, Wenjie Zhang, Bram Hoex:
ByteScience: Bridging Unstructured Scientific Literature and Structured Data with Auto Fine-tuned Large Language Model in Token Granularity. 907-911
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