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23rd IRI 2022: San Diego, CA, USA
- 23rd IEEE International Conference on Information Reuse and Integration for Data Science, IRI 2022, San Diego, CA, USA, August 9-11, 2022. IEEE 2022, ISBN 978-1-6654-6603-5
- Can Li, Wenbo Wang, Bitty Balducci, Lingshu Hu, Matthew Gordon, Detelina Marinova, Yi Shang:
Deep Formality: Sentence Formality Prediction with Deep Learning. 1-5 - Emily J. Yang, Ying Jin:
Analysis of Student Emotional States in AP Courses through Social Media Based on Deep Learning. 6-11 - Umang Goenka, Param Patil, Kush Gosalia, Aaryan Jagetia:
Classification of Electroencephalograms during Mathematical Calculations Using Deep Learning. 12-17 - Xiaoliang Wang, Justin Lowery, Yongjin Lu, Wei-bang Chen, Shanshan Zhang, Zhenhua Wu:
Embracing Deep Learning for Crack Segmentation in SEM Images of Metal Additive Manufacturing. 18-19 - Victor Tran, Anand Panangadan:
Few-shot Time-Series Forecasting with Application for Vehicular Traffic Flow. 20-26 - Matthew Horak, Sowmya Chandrasekaran, Giovanni Tobar:
NLP Based Anomaly Detection for Categorical Time Series. 27-34 - Shaojun Ren, Chongyang Shi:
A News Recommendation Model Based on Time Awareness and News Relevance. 35-40 - Keming Wu, Faryaneh Poursardar:
Towards Undeceived: Fake Reviews Detection Models Comparison. 41-42 - Michael Kolisnyk, Matthew Kwiatkowski, Carson K. Leung, Benjamin J. Zacharias:
Analysis of Multi-Dimensional Road Accident Data for Disaster Management in Smart Cities. 43-48 - Tianyi Wang, Shu-Ching Chen:
Multi-Task Local-Global Graph Network for Flight Delay Prediction. 49-54 - Juhee Kim, Carson K. Leung, Nguyen Duy Thong Jase Tran, Tanisha Turner:
A Regression-Based Data Science Solution for Transportation Analytics. 55-60 - Payal Agarwal, Sandeep Reddivari, Kalyan Reddivari:
Fake News Detection: An Investigation based on Machine Learning. 61-62 - Zahra Salekshahrezaee, Joffrey L. Leevy, Taghi M. Khoshgoftaar:
A Class-Imbalanced Study with Feature Extraction via PCA and Convolutional Autoencoder. 63-68 - Samuel A. Ajila:
Multilayer Meta-Learning Approach to Forecasting Air Pollutants. 69-74 - DeMarcus Edwards, Danda B. Rawat, Brian M. Sadler:
Study of Adversarial Machine Learning for Enhancing Human Action Classification. 75-80 - Limin Ma, Ken Q. Pu:
Neural Network Accelerated Tuple Search For Relational Data. 81-82 - Shih-Hung Wu, Jia-Jun Lee:
An Automatic Evaluation Method for Open-domain Dialogue Based on BLEURT. 83-89 - Min-Yuh Day, Pei-Tz Chiu, Yung-Wei Teng, Chao-Lin Liu:
Developing Relation Types of Cryptocurrency Anti-Money Laundering Knowledge Graph. 90-94 - Wen-Kuo Chen, Lin Sheng Ling, Huang Yu Jie, Pantas H. Silaban, Yuni Kartika Sitanggang, Andri Dayarana K. Silalahi:
How Travel Vlogs on YouTube Influence Consumer Travel Behavior in Indonesia: Empirical Evidence from fsQCA. 95-100 - Serhan Demirci, Ahmad Muzakki Binamak, Muhammad Rafli Dwi Pradana, Achmad Akbar Hidayatulloh, Te-Yu Peng, Au Due Tang:
Does nationality affect eWOM? Factors affecting customer satisfaction and eWOM in Indonesian Online Clothing Brands. 101-105 - Kaihua Liu, Sandeep Reddivari, Kalyan Reddivari:
Artificial Intelligence in Software Requirements Engineering: State-of-the-Art. 106-111 - Kaibin Xie:
A Searching Mechanism for Services of IoT Applications. 112-117 - Sandeep Reddivari, Aaron Wilson:
Blockchain-Oriented Requirements Engineering: New Directions. 118-123 - William Vickers, Sandeep Reddivari, Kalyan Reddivari:
Evaluating Audio-to-Text utilizing Dragon in the Context of Just-in-Time Requirements. 124-125 - Brandon Chenze, Eugene Lee, Anand Panangadan:
Iterative Approach for Novel Entity Recognition of Foods in Social Media Messages. 126-131 - Yongjin Lu, Wei-bang Chen, Xiaoliang Wang, Ben Zimmerman:
Fully Automatic Top Coat Layer Recognition in Thermal Barrier Coating Images. 132-137 - Jukka Junttila, Anssi Sillanpää, Ville Lämsä:
Validation of Simulated Mechanical Vibration Data for Operational State Recognition System. 138-143 - Keeheon Lee, Eury Sohn, Kunhee Ryu, Seongmin Oh:
Counting Pixels for an Effective Axis Detection. 144-145 - Phillip Brown, Austin Brown, Maanak Gupta, Mahmoud Abdelsalam:
Online Malware Classification with System-Wide System Calls in Cloud IaaS. 146-151 - Neha Bhargava, Yves Junior Kwame Kamgaing, Ramazan Aygun:
ImpartialGAN: Fair and Unbiased Classification. 152-157 - Kollin Napier, Tanmay Bhowmik:
Text-Based Machine Learning Models for Cross-Domain Vulnerability Prediction: Why They may not be Effective? 158-163 - Kensuke Sumoto, Kenta Kanakogi, Hironori Washizaki, Naohiko Tsuda, Nobukazu Yoshioka, Yoshiaki Fukazawa, Hideyuki Kanuka:
Automatic labeling of the elements of a vulnerability report CVE with NLP. 164-165 - Esmaeil Shakeri, Trafford Crump, Ezekiel Weis, Roberto Souza, Behrouz Homayoun Far:
Using SHAP Analysis to Detect Areas Contributing to Diabetic Retinopathy Detection. 166-171 - Supriya Chinthavali, S. M. Shamimul Hasan, Srikanth B. Yoginath, Haowen Xu, Phil Nugent, Terry R. Jones, Cozmo Engebretsen, Joseph Olatt, Varisara Tansakul, Carter Christopher, Yarom Polsky:
An Alternative Timing and Synchronization Approach for Situational Awareness and Predictive Analytics. 172-177 - Esmaeil Shakeri, Anja Slama, Roberto Souza, Behrouz Homayoun Far:
COVID-19 Vaccine Infodemiology using Unsupervised Natural Language Processing. 178-183 - Duleep Rathgamage Don, Jonathan Boardman, Sudhashree Sayenju, Ramazan Aygun, Yifan Zhang, Bill Franks, Sereres Johnston, George Lee, Dan Sullivan, Girish Modgil:
Explainability Audit: An Automated Evaluation of Local Explainability in Rooftop Image Classification. 184-189 - Apoorva Bhatnagar, Min Chen:
Improving GIF Image Accessibility on Web. 190-191 - Bharat S. Rawal, Andrew Mentges, Shakaib Ahmad:
The Rise of Metaverse and Interoperability with Split-Protocol. 192-199 - Sophina Luitel, Mohd Anwar:
Audio Sentiment Analysis using Spectrogram and Bag-of- Visual- Words. 200-205 - Chandan Sai Chebrolu, Chung-Horng Lung, Samuel A. Ajila:
Dynamic Packet Filtering Using Machine Learning. 206-211 - François Blanc, Azhar Syed, Ali Mohammadi Esfahani, Sandeep Reddy Venna, Samuel A. Ajila:
A Deep Learning Sequential-based Model for Predicting Victories in Video Games. 212-213 - Yen-Hao Huang, Kevin Harryyanto, Che-Wei Tsai, Ratana Pornvattanavichai, Yi-Shin Chen:
Graph Knowledge Transfer for Offensive Language Identification with Graph Neural Networks. 216-221 - Julian Ziegler, Peter Reimann, Christoph Schulz, Florian Keller, Bernhard Mitschang:
A Graph Structure to Discover Patterns in Unstructured Processes of Product Development. 222-227 - Joshua Carberry, Haiping Xu:
Fine-Grained ICD Code Assignment Using Ontology-Based Classification. 228-233 - Ken Pu, Limin Ma:
Incremental Computation of Information Gain in Temporal Relational Streams. 234-235 - Justin M. Johnson, Taghi M. Khoshgoftaar:
Healthcare Provider Summary Data for Fraud Classification. 236-242 - John T. Hancock, Taghi M. Khoshgoftaar:
Optimizing Ensemble Trees for Big Data Healthcare Fraud Detection. 243-249 - Adnane Ait Nasser, Moulay A. Akhloufi:
Classification of CXR Chest Diseases by Ensembling Deep Learning Models. 250-255 - Takfarines Guergueb, Moulay A. Akhloufi:
Multi-Scale Deep Ensemble Learning for Melanoma Skin Cancer Detection. 256-261 - Adeyemi Fagbemi, Ramazan Aygun, Mahmut Karakaya, Nesrin Sahin:
Video Alignment of Lecture Notes Missing Corners. 262-269 - Yifan Wang, Xiaochuan Zheng, Tianda Fan:
Public Outlook on E-sports in China: A Content and Sentiment Analysis of Social Media. 270-277 - Sofeem Nasim, Mourad Oussalah, Tarja Outila, Johannes Jutila:
Smart Parking System with PlacePod, LoRaWAn IoT sensors and Android app. 278-284 - Alankrit Mishra, Nikhil Raj, Shubham Bodhe, Garima Bajwa:
Identifying universal safety signs using computer vision for an assistive feedback mobile application. 285-290 - Rafik Ghali, Moulay A. Akhloufi:
ARSeg: An Attention RegSeg Architecture for CXR Lung Segmentation. 291-296 - Md. Ariful Islam, Kowshik Nittala, Garima Bajwa:
Adding Explainability to Machine Learning Models to Detect Chronic Kidney Disease. 297-302 - Nooshan Sedaghati, Bahareh Abbasi:
Study of Metadata Impact on COVID-19 Detection using Convolutional Neural Networks. 303-308
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