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ORCID24th IRI 2023: Bellevue, WA, USA
- 24th IEEE International Conference on Information Reuse and Integration for Data Science, IRI 2023, Bellevue, WA, USA, August 4-6, 2023. IEEE 2023, ISBN 979-8-3503-3458-6
- Shan Suthaharan, Lee Daniel M. W., Min Zhang, Ethan A. Rossi:
Microsaccade Segmentation using Directional Variance Analysis and Artificial Neural Networks. 1-6 - Yuba Raj Siwakoti
, Danda B. Rawat:
Investigating Security Vulnerability Related to Exposure and TLS Ecosystem in IoT Devices. 7-12 - Hayri Durmaz, Mehmet Keskinöz:
On the Improvements of Mouse Dynamics Based Continuous User Authentication. 13-19 - Chan Hsu, Chan-Tung Ku, Yuwen Wang, Minchen Hsieh, Jun-Ting Wu, Yunhsiang Hsieh, PoFeng Chang, Yimin Lu, Yihuang Kang:
A Teacher-Student Knowledge Distillation Framework for Enhanced Detection of Anomalous User Activity. 20-21 - Anvaya Rai, Brejesh Lall, Astha Zalani, Raghawendra Prakash Singh, Shikha Srivastava:
InPosNet: Context Aware DNN for Visual SLAM. 22-27 - Yongiin Lu, Wei-bang Chen, Zanyah Ailsworth, Xiaoliang Wang, Chengcui Zhang, Kaixuan Li:
Hybrid Convolutional Autoencoder-Hierarchical Clustering Algorithm To Reveal Image Spam Sources. 28-33 - Radhwane Gherbaoui, Nacéra Benamrane, Mohammed Ouali:
A New Similarity Measure and Hierarchical Clustering Approach to Color Image Segmentation. 34-39 - Somayeh Ghanbarzadeh, Hamid Palangi, Yan Huang, Radames Cruz Moreno, Hamed Khanpour:
Improving the Reusability of Pre-trained Language Models in Real-world Applications. 40-45 - Abdullah Aldumaykhi, Saad Otai, Abdulkareem Alsudais:
Comparing Open Arabic Named Entity Recognition Tools. 46-51 - Aurek Chattopadhyay, Ganesh Malla, Nan Niu, Tanmay Bhowmik, Juha Savolainen:
Completeness of Natural Language Requirements: A Comparative Study of User Stories and Feature Descriptions. 52-57 - Zedong Peng, Mahima Dahiya, Tessneem Khalil, Nan Niu, Tanmay Bhowmik, Yilong Yang:
Resource-Centric Goal Model Slicing for Detecting Feature Interactions. 58-63 - Alex Li, Munehiro Fukuda:
Agent-Based Parallelization of a Multi-Dimensional Semantic Database Model. 64-69 - Asuka Tai, Koki Yoshioka, Hiroshi Dozono:
Multiple Objective optimization of Stock Portfolio Using Evolutionary Computation under COVID-19. 70-75 - Yun-Cheng Tsai, Jun-Hao Chen:
Enhancing Model Explainability in Financial Trading Using Training Aid Samples: A CNN-Based Candlestick Pattern Recognition Approach. 76-82 - Shih-Hung Wu, Xie-Sheng Hong:
Integrating Sarcastic Language Datasets in Various Standards for Sarcasm Detection. 83-90 - Hsiao-Chuan Liu, Min-Yuh Day, Chih-Chien Wang:
Speech-to-speech Low-resource Translation. 91-95 - Meng-Che Tsai, Kuo-Chung Chu, Yi-Xian Li:
Building and Validating a Clinical Ultrasound Image Reporting Model. 96-100 - James McCoy, Atul Rawal, Danda B. Rawat:
Ensemble Learning for UAV Detection: Developing a Multi-Class Multimodal Dataset. 101-106 - Fei Zhao, Chengcui Zhang, Nitesh Saxena, Dan S. Wallach, AKM Shahariar Azad Rabby:
Ballot Tabulation Using Deep Learning. 107-114 - Kurt Pichler, Julian Brunthaler, Wolfgang Lubowski, Patryk Grabski, Veronika Putz, Sandra Breitenberger, Christian Kastl:
State Classification in Injection Molding Cycles using Transformation of Acceleration Data into Images. 115-120 - Huanjing Wang, Qianxin Liang, John T. Hancock, Taghi M. Khoshgoftaar:
Enhancing Credit Card Fraud Detection Through a Novel Ensemble Feature Selection Technique. 121-126 - Anvaya Rai, Brejesh Lall, Astha Zalani, Raghawendra Prakash Singh, Shikha Srivastava:
Optimal latent space for Low-shot Face Recognition. 127-133 - Sanjeev Roka, Danda B. Rawat:
Fine Tuning Vision Transformer Model for Facial Emotion Recognition: Performance Analysis for Human-Machine Teaming. 134-139 - Yasasi Abeysinghe, Bhanuka Mahanama, Gavindya Jayawardena, Mohan Sunkara, Vikas Ashok, Sampath Jayarathna:
Gaze Analytics Dashboard for Distributed Eye Tracking. 140-145 - Dipanwita Thakur, Sandip Roy, Suparna Biswas, Edmond S. L. Ho, Samiran Chattopadhyay, Sachin Shetty:
A Novel Smartphone-Based Human Activity Recognition Approach using Convolutional Autoencoder Long Short-Term Memory Network. 146-153 - Rui Ma, Yudong Tao, Mohamed M. Khodeiry, Karam A. Alawa, Mei-Ling Shyu, Richard K. Lee:
Enhancing Noisy Binary Search Efficiency through Deep Reinforcement Learning. 154-159 - Bhavya Mehta, Vijay Kharche, Sandeep S. Udmale:
Accelerating the Search for Stable Full Heusler Compounds through Machine Learning. 160-165 - Koki Yoshioka, Gen Niina, Hiroshi Dozono:
The Method of Making the Low-dimensional Map that Preserves the Distance Relationships from Selected Data Point. 166-172 - Karishma Rahman, Clemente Izurieta:
An Approach to Testing Banking Software Using Metamorphic Relations. 173-178 - Gang Xiao, Jiahuan Fei, Dongliu Li, Cece Wang, Zhenbo Cheng, Jiawei Lu:
MRHN: Hypergraph Convolutional Network for Web API Recommendation. 179-184 - Kuan-Wei Wu, Tz-Huan Hsu, Yen-Hao Huang, Yi-Shin Chen, Ho-Lung Wang, Bing-Jing Hsieh, Chi-Hung Hsu:
LeCAR: Leveraging Context for Enhanced Automotive Specification Retrieval. 185-190 - Tanmay Bhowmik, Anh Quoc Do, Hayden Lam, Md Rayhan Amin, Gary L. Bradshaw, Nan Niu:
On the Way to a Framework for Evaluating Creativity in Requirements Engineering. 191-198 - Amani Alzahrani, Tahani Baabdullah, Aeman Almotairi, Danda B. Rawat:
A Hybrid Deep Learning Architecture for Misinformation Detection on Social Media. 199-204 - Mohammad Shiri, Oleksii Dubovyk, Golbarg Roghaniaraghi, Sampath Jayarathna:
Meme it Up: Patterns of Emoji Usage on Twitter. 205-210 - Sangkeun Lee, Jong Choi, Gs Jung, Anika Tabassum, Nils M. Stenvig, Supriya Chinthavali:
Predicting Power Outage During Extreme Weather Events with EAGLE-I and NWS Datasets. 211-212 - Kayla Pineda, Anne M. Perrotti, Faryaneh Poursardar, Danielle Graber, Sampath Jayarathna:
Using BERT to Understand TikTok Users' ADHD Discussion. 213-214 - Esmaeil Shakeri, Emad Mohammed, Trafford Crump, Ezekiel Weis, Carol L. Shields, Sandor R. Ferenczy, Behrouz H. Far:
Deep Learning-Based Detection and Classification of Uveal Melanoma Using Convolutional Neural Networks and SHAP Analysis. 215-220 - Bathsheba Farrow, Sampath Jayarathna:
A Serverless Electroencephalogram Data Retrieval and Preprocessing Framework. 221-226 - Da Tan, Carson K. Leung, Katrina Dotzlaw, Ryan Dotzlaw, Adam G. M. Pazdor, Sean Szturm:
A Data Science Solution for Analyzing Long COVID Cases. 227-232 - Xiaoliang Wang, Yongjin Lu, Wei-bang Chen, Dominic Baker:
A Deep Learning Based Method for Vitreous Hemorrhage Recognition in Fundoscopic Images. 233-234 - Ke Feng, Dahai Liu, Yongxin Liu, Hong Liu, Houbing Song:
GraphDAC: A Graph-Analytic Approach to Dynamic Airspace Configuration. 235-241 - Henry Toal, Arghya Kusum Das:
Variability and Trend Analysis of a Grid-Scale Solar Photovoltaic Array above the Arctic Circle. 242-247 - Shawn J. Lanting, Carson K. Leung, Khush Bhrugesh Patel, Sanskar Raval, Liza Yashin:
A Transportation Analytic Solution for Predicting Flight Cancellations. 248-253 - Yiding Song, Chun Hei Leung:
Large-Scale Analysis of Wikipedia's Link Structure and its Applications in Learning Path Construction. 254-260 - Debojyoti Pal, Tanushree Meena, Sudipta Roy:
A Fully Connected Reproducible SE-UResNet for Multiorgan Chest Radiographs Segmentation. 261-266 - Joffrey L. Leevy, John T. Hancock, Taghi M. Khoshgoftaar:
Assessing One-Class and Binary Classification Approaches for Identifying Medicare Fraud. 267-272 - Soumeya Demil, Lydia Bouzar-Benlabiod, Guy Paillet:
Cost Efficient Mammogram Segmentation and Classification with NeuroMem® Chip for Breast Cancer Detection. 273-278 - Malek Malkawi, Reda Alhajj:
Real-time web-based International Flight Tickets Recommendation System via Apache Spark. 279-282 - Shibo Ji, Bo Yang:
Sequence Separation-Based Modeling of Denoised Implicit Feedback Behavior. 283-288 - Zedong Peng, Juha Savolainen, Jianzhang Zhang, Nan Niu:
"What You See Is What You Test": Recommending Features from GUIs for Requirements-Based Testing. 289-294 - Dipto Biswas, Joon-Min Gil:
Research Paper Classification and Recommendation System based-on Fine-Tuning BERT. 295-296 - Snehashis Chakraborty, Komal Kumar, Pailla Balakrishna Reddy, Tanushree Meena, Sudipta Roy:
An Explainable AI based Clinical Assistance Model for Identifying Patients with the Onset of Sepsis. 297-302 - Robert K. L. Kennedy, Zahra Salekshahrezaee, Taghi M. Khoshgoftaar:
Unsupervised Anomaly Detection of Class Imbalanced Cognition Data Using an Iterative Cleaning Method. 303-308 - Tanushree Meena, Anwesh Kabiraj, Pailla Balakrishna Reddy, Sudipta Roy:
Weakly Supervised Confidence Aware Probabilistic CAM multi-Thorax Anomaly Localization Network. 309-314
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