Submissions from 2025
Opinion Mining on Offshore Wind Energy for Environmental Engineering, Isabele Bittencourt, Aparna S. Varde, and Pankaj Lal (2025)
Automated Regulatory Classification of Mobile Medical Apps, Ernest C. Chianumba, Franklyn Kogolo, and Raina Samuel (2025)
RPL Attack Detection in IoT Environments: An Ensemble Approach, Ashley Etheridge and Vaibhav Anu (2025)
Evaluating robustness of subnetworks for the split-star network, Kai Feng, Guodong Xie, Zhangjian Ji, and Dajin Wang (2025)
Robo-CSK-Organizer: Commonsense Knowledge to Organize Detected Objects for Multipurpose Robots, Rafael Hidalgo, Jesse Parron, Aparna S. Varde, and Weitian Wang (2025)
An empirical study on impact of label noise on synthetic tabular data generation, Jeonghoon Kim, Chao Huang, and Xin Liu (2025)
Explainable Artificial Intelligence in Deep Learning-Based Solar Storm Predictions, Adam O. Rawashdeh, Jason T.L. Wang, and Katherine G. Herbert (2025)
Exploring the dynamics of Lotka-Volterra systems: Efficiency, extinction order, and predictive machine learning, Sepideh Vafaie, Deepak Bal, Michael A.S. Thorne, and Eric Forgoston (2025)
Preparing K-8 Teachers to Teach and Infuse Computer Science Across All Subjects, Angela S. Williams-Nash, Sumi Hagiwaras, Katherine G. Herbert, Thomas J. Marlowe, Rebeca A. Goldstein, and Vaibhav K. Anu (2025)
1-Extra 3-component edge connectivity of modified bubble-sort networks, Guozhen Zhang, Zhimin Yue, and Dajin Wang (2025)
Submissions from 2024
Development of a Software Design Error Taxonomy: A Systematic Literature Review, Tushar Agrawal, Gursimran Singh Walia, and Vaibhav K. Anu (2024)
Turkish Delights: a Dataset on Turkish Euphemisms, Hasan Can Biyik, Patrick Lee, and Anna Feldman (2024)
Task Constraint-Guided Inverse Reinforcement Learning (TC-IRL) in Human-Robot Collaborative Assembly, Yi Chen, Weitian Wang, and Yunyi Jia (2024)
ShouldAR: Detecting Shoulder Surfing Attacks Using Multimodal Eye Tracking and Augmented Reality, Matthew Corbett, Brendan David-John, Jiacheng Shang, and J. I. Bo (2024)
Securing Bystander Privacy in Mixed Reality While Protecting the User Experience, Matthew Corbett, Brendan David-John, Jiacheng Shang, Y. Charlie Hu, and Bo Ji (2024)
GazePair: Efficient Pairing of Augmented Reality Devices Using Gaze Tracking, Matthew Corbett, Jiacheng Shang, and Bo Ji (2024)
Feature Matching Comparison with Limited Computing Power Device for Autonomous Driving, Xu Du and Weitian Wang (2024)
Neuromodulation in Spinal Cord Injury Using Transcutaneous Spinal Stimulation—Mapping for a Blood Pressure Response: A Case Series, Einat Engel-Haber, Akhil Bheemreddy, Mehmed Bugrahan Bayram, Manikandan Ravi, Fan Zhang, Haiyan Su, Steven Kirshblum, and Gail F. Forrest (2024)
Identifying neural correlates of balance impairment in traumatic brain injury using partial least squares correlation analysis, Vikram Shenoy Handiru, Easter Selvan Suviseshamuthu, Soha Saleh, Haiyan Su, Guang Yue, and Didier Allexandre (2024)
Convergence Analysis of Split Federated Learning on Heterogeneous Data, Pengchao Han, Chao Huang, Geng Tian, Ming Tang, and Xin Liu (2024)
Board 326: K-12 Teachers and Data Science: Learning Interdiscplinary Science Through Research Experiences, Katherine G. Herbert-Berger, Thomas J. Marlowe, Vaibhav Anu, and Stefan A. Robila (2024)
Personalizing Text-to-Image Diffusion Models by Fine-Tuning Classification for AI Applications, Rafael Hidalgo, Nesreen Salah, Rajiv Chandra Jetty, Anupama Jetty, and Aparna S. Varde (2024)
An Accuracy-Shaping Mechanism for Competitive Distributed Learning, Chao Huang, Justin Dachille, and Xin Liu (2024)
Coopetition in Heterogeneous Cross-Silo Federated Learning, Chao Huang, Justin Dachille, and Xin Liu (2024)
Promoting Collaboration in Cross-Silo Federated Learning: Challenges and Opportunities, Chao Huang, Ming Tang, Qian Ma, Jianwei Huang, and Xin Liu (2024)
Learning Abstract Chemistry Concepts with Virtual Reality: An Experimental Study Using a VR Chemistry Lab and Molecule Simulation, Elliot Hu-Au (2024)
Specific Motivational Effects on Students after Experiencing an Imaginative VR “Molecular World”, Elliot Hu-Au (2024)
Improving Performance of Local Chatbot with Caching, John Jenq (2024)
Report on the Multilingual Euphemism Detection Task, Patrick Lee and Anna Feldman (2024)
MEDs for PETs: Multilingual Euphemism Disambiguation for Potentially Euphemistic Terms, Patrick Lee, Alain Chirino Trujillo, Diana Cuevas Plancarte, Olumide Ebenezer Ojo, Xinyi Liu, Iyanuoluwa Shode, Yuan Zhao, Jing Peng, and Anna Feldman (2024)
Bayesian optimization based extreme gradient boosting and GPR time-frequency features for the recognition of moisture damage in asphalt pavement, Hongwei Li, Jun Zhang, Xiaokun Yang, Min Ye, Wentao Jiang, Jing Gong, Yaogang Tian, Liang Zhao, Weitian Wang, and Zhi Xu (2024)
Retrieval augmented scientific claim verification, Hao Liu, Ali Soroush, Jordan G. Nestor, Elizabeth Park, Betina Idnay, Yilu Fang, Jane Pan, Stan Liao, Marguerite Bernard, Yifan Peng, and Chunhua Weng (2024)
Using Generative Large Language Models for Hierarchical Relationship Prediction in Medical Ontologies, Hao Liu, Shuxin Zhou, Zhehuan Chen, Yehoshua Perl, and Jiayin Wang (2024)
A Speech and Facial Information based Emotion Recognition System of Collaborative Robot for Empathic Human-Robot Collaboration, Jianna Loor, Jordan Murphy, and Rui Li (2024)
Mining Satellite Imagery for Offshore Wind Energy, Cristian C.Noriega Monsalve and Aparna S. Varde (2024)
Doctor or AI? Efficient Neural Network for Response Classification in Health Consultations, Olumide E. Ojo, Olaronke O. Adebanji, Hiram Calvo, Alexander Gelbukh, Anna Feldman, and Ofir Ben Shoham (2024)
Characterization of Human Trust in Robot through Multimodal Physical and Physiological Biometrics in Human-Robot Partnerships, Jesse Parron, Rui Li, Weitian Wang, and Mengchu Zhou (2024)
CCTFv2: Modeling Cyber Competitions, Basheer Qolomany, Tristan J. Calay, Liaquat Hossain, Aos Mulahuwaish, and Jacques Bou Abdo (2024)
DISCERN for Generalizable Robotic Contexts, Swagnik Roychoudhury and Aparna S. Varde (2024)
Efficient Task Organization with Commonsense Knowledge for Human-Robot Collaborative Tasks, Swagnik Roychoudhury, Aparna S. Varde, and Weitian Wang (2024)
AI-Based Modeling for Textual Data on Solar Policies in Smart Energy Applications, Sarahana Shrestha, Isabele Bittencourt, Aparna S. Varde, and Pankaj Lal (2024)
FedUV: Uniformity and Variance for Heterogeneous Federated Learning, Ha Min Son, Moon Hyun Kim, Tai Myoung Chung, Chao Huang, and Xin Liu (2024)
Empirical-Likelihood-Based Inference for Partially Linear Models, Haiyan Su and Linlin Chen (2024)
Using software metrics for predicting vulnerable classes in java and python based systems, Kazi Zakia Sultana, Vaibhav Anu, and Tai Yin Chong (2024)
A Survey: Emerging Cybersecurity Threats in Driverless Cars, Vaibhavi Tiwari, Dharshana Rajasekar, and Jiayin Wang (2024)
DyRAM: Dynamic Data Allocation and Resource Management in Distributed Machine Learning Systems, Vaibhavi Tiwari, Rahul Thakkar, and Jiayin Wang (2024)
Facilitating COVID recognition from X-rays with computer vision models and transfer learning, Aparna S. Varde, Divydharshini Karthikeyan, and Weitian Wang (2024)
Predictive Analysis of Bank Marketing for Financial Decision Support and Smart Economy, Hiral Vashi, Jyoti Yadav, and Aparna S. Varde (2024)
MCROS: A Multimodal Collaborative Robot System for Human-Centered Tasks, Weitian Wang, Zofia Przedworska, Jesse Parron, Maxim Lyons, Michelle Zhu, and Amy Tuininga (2024)
Audiovisual Multimodal Cough Data Analysis for Tuberculosis Detection, Jyoti Yadav, Aparna S. Varde, Hao Liu, George Antoniou, and Lei Xie (2024)
Inferring bifurcation diagrams with transformers, Lyra Zhornyak, M. Ani Hsieh, and Eric Forgoston (2024)
Submissions from 2023
Information Elicitation from Decentralized Crowd Without Verification, Kexin Chen, Chao Huang, and Jianwei Huang (2023)
A Digital Human System with Realistic Facial Expressions for Friendly Human-Machine Interaction, Anthony Condegni, Weitian Wang, and Rui Li (2023)
Enhancing Cloud Security Posture for Ubiquitous Data Access with a Cybersecurity Framework Based Management Tool, Gregory Coppola, Aparna S. Varde, and Jiacheng Shang (2023)
BystandAR: Protecting Bystander Visual Data in Augmented Reality Systems, Matthew Corbett, Brendan David-John, Jiacheng Shang, Y. Charlie Hu, and Bo Ji (2023)
Poster: BystandAR: Protecting Bystander Visual Data in Augmented Reality Systems, Matthew Corbett, Brendan David-John, Jiacheng Shang, Y. Charlie Hu, and Bo Ji (2023)
JUST TELL ME: A Robot-assisted E-health Solution for People with Lower-extremity Disability, Alexander Coutras, Omar Obidat, Michelle Zhu, and Weitian Wang (2023)
Infection prediction in swine populations with machine learning, Avishai Halev, Beatriz Martínez-López, Maria Clavijo, Carlos Gonzalez-Crespo, Jeonghoon Kim, Chao Huang, Seth Krantz, Rebecca Robbins, and Xin Liu (2023)
A Trust-Assist Framework for Human–Robot Co-Carry Tasks, Corey Hannum, Rui Li, and Weitian Wang (2023)
Professional and Capacity Building in K-12 Computer Science Education: A Multi-Faceted Approach, Katherine G. Herbert, Vaibhav K. Anu, Kazi Zakia Sultana, Stefan Robila, Jesse Ryan Miller, Sumi Hagiwara, Rebecca A. Goldstein, and Thomas Marlowe (2023)
Incentive Mechanism Design for Distributed Ensemble Learning, Chao Huang, Pengchao Han, and Jianwei Huang (2023)
Online Crowd Learning Through Strategic Worker Reports, Chao Huang, Haoran Yu, Jianwei Huang, and Randall A. Berry (2023)
Understanding Dynamic Human Intentions to Enhance Collaboration Performance for Human-Robot Partnerships, Isabel Jacoby, Jesse Parron, and Weitian Wang (2023)
Predicting antimicrobial resistance of bacterial pathogens using time series analysis, Jeonghoon Kim, Ruwini Rupasinghe, Avishai Halev, Chao Huang, Shahbaz Rezaei, Maria J. Clavijo, Rebecca C. Robbins, Beatriz Martínez-López, and Xin Liu (2023)
HiSAT: Hierarchical Framework for Sentiment Analysis on Twitter Data, Amrutha Kommu, Snehal Patel, Sebastian Derosa, Jiayin Wang, and Aparna S. Varde (2023)
FEED PETs: Further Experimentation and Expansion on the Disambiguation of Potentially Euphemistic Terms, Patrick Lee, Iyanuoluwa Shode, Alain Chirino Trujillo, Yuan Zhao, Olumide Ebenezer Ojo, Diana Cuevas Plancarte, Anna Feldman, and Jing Peng (2023)
Identification of Cyanobacteria for Harmful Algal Blooms Research Using the YOLO Framework, Benjamin Li, Karen Serrano, Melissa Mazzaro, Meiyin Wu, Weitian Wang, and Michelle Zhu (2023)
Ready or Not? A Robot-Assisted Crop Harvest Solution in Smart Agriculture Contexts, Thai Thao Nguyen, Jesse Parron, Omar Obidat, Amy R. Tuininga, and Weitian Wang (2023)
Extracting Cultural Commonsense Knowledge at Scale, Tuan Phong Nguyen, Simon Razniewski, Aparna S. Varde, and Gerhard Weikum (2023)
Development of a Teaching-Learning-Prediction-Collaboration Model for Human-Robot Collaborative Tasks, Omar Obidat, Jesse Parron, Rui Li, Julia Rodano, and Weitian Wang (2023)
Legend at ArAIEval Shared Task: Persuasion Technique Detection using a Language-Agnostic Text Representation Model, Olumide E. Ojo, Olaronke O. Adebanji, Hiram Calvo, Damian O. Dieke, Olumuyiwa E. Ojo, Seye E. Akinsanya, Tolulope O. Abiola, and Anna Feldman (2023)
Hate and Offensive Content Identification in Indo-Aryan Languages using Transformer-based Models, Olumide Ebenezer Ojo, Olaronke Oluwayemisi Adebanji, Hiram Calvo, Alexander Gelbukh, Anna Feldman, and Grigori Sidorov (2023)
Development of A Multimodal Trust Database in Human-Robot Collaborative Contexts, Jesse Parron, Thai Thao Nguyen, and Weitian Wang (2023)
Commonsense based text mining on urban policy, Manish Puri, Aparna S. Varde, and Gerard de Melo (2023)
Automated machine learning for analysis and prediction of vehicle crashes, Abhishek Saxena and Stefan A. Robila (2023)
NollySenti: Leveraging Transfer Learning and Machine Translation for Nigerian Movie Sentiment Classification, Iyanuoluwa Shode, David Ifeoluwa Adelani, Jing Peng, and Anna Feldman (2023)
A Stock Recommendation System, Jashanjit Singh and John Jenq (2023)
Federated Learning in Competitive EV Charging Market, Chenxi Sun, Chao Huang, Biying Shou, and Jianwei Huang (2023)
Controlling epidemic extinction using early warning signals, Walter Ullon and Eric Forgoston (2023)
Comprehensive cough data analysis on CODA TB, Jyoti Yadav, Aparna S. Varde, and Lei Xie (2023)
Price of Stability in Quality-Aware Federated Learning, Yizhou Yan, Xinyu Tang, Chao Huang, and Ming Tang (2023)
Submissions from 2020
Recent Advances in Smart Contracts: A Technical Overview and State of the Art, Victor Youdom Kemmoe, William Stone, Jeehyeong Kim, Daeyoung Kim, and Junggab Son (2020)
Rethinking the Weakness of Stream Ciphers and Its Application to Encrypted Malware Detection, William Stone, Daeyoung Kim, Victor Youdom Kemmoe, Mingon Kang, and Junggab Son (2020)