| 2023 | Efficient Defense Against Model Stealing Attacks on Convolutional Neural Networks. | Kacem Khaled, Mouna Dhaouadi, Felipe Gohring de Magalhaes, Gabriela Nicolescu |
| 2023 | Zero-Shot Information Extraction with Community-Fine-Tuned Large Language Models From Open-Ended Interview Transcripts. | Nazmul Kazi, Indika Kahanda, S. Indu Rupassara, John W. Kindt |
| 2023 | Enhancing Transfer Learning of LLMs through Fine- Tuning on Task - Related Corpora for Automated Short-Answer Grading. | Nazmul Kazi, Indika Kahanda |
| 2023 | MIS-AVoiDD: Modality Invariant and Specific Representation for Audio-Visual Deepfake Detection. | Vinaya Sree Katamneni, Ajita Rattani |
| 2023 | Parameter-Efficient Harmonic Networks for JPEG Compression Artifact Removal. | Hasan Huseyin Karaoglu, Ender Mete Eksioglu |
| 2023 | An Edge Internet of Things Framework for Machine Learning-Based Skin Cancer Detection Models. | Karthik Reddy Kanjula, Ashok Raju Datla, Tianjie Chen, Md Faisal Kabir |
| 2023 | Learning Unbiased News Article Representations: A Knowledge-Infused Approach. | Sadia Kamal, Jimmy Hartford, Jeremy Willis, Arunkumar Bagavathi |
| 2023 | Improving Transparency and Explainability of Deep Learning Based IoT Botnet Detection Using Explainable Artificial Intelligence (XAI). | Rajesh Kalakoti, Sven Nmm, Hayretdin Bahsi |
| 2023 | Hybrid Wavelet Transform and Deep Stacking Ensemble Model for Network Traffic Prediction. | Nader Joojili, Alexis Amezaga Hechavarria, Omair Shafiq, Akram Bin Sediq, Peiliang Chang, Hatem Abou-Zeid |
| 2023 | Symbolic-Based Recurrent Neural Networks for Metamodeling of Nonlinear Structural Models. | Yiming Jia, Mehrdad Sasani |
| 2023 | Multi-Modal Relational Side Information Graph Attention Networks for Recommender System. | Shengzhe Jiao, Yihong Zhang, Takahiro Hara |
| 2023 | A Bayesian Hierarchical Analysis on the Disparity of Emergency Department Visits for COVID-19: A Cohort Study Using National COVID Cohort Collaborative (N3C) Data. | Sihang Jiang, Johanna Loomba, Andrea Zhou, Suchetha Sharma, Saurav Sengupta, Donald E. Brown |
| 2023 | Revisiting Knowledge Graph Embedding: An Alternative Solution to Biased Visual Scene Graphs. | Sen Jia, Homa Fashandi |
| 2023 | DualCam: A Novel Benchmark Dataset for Fine-Grained Real-Time Traffic Light Detection. | Harindu Jayarathne, Tharindu Samarakoon, Hasara Koralege, Asitha Divisekara, Ranga Rodrigo, Peshala Jayasekara |
| 2023 | UNF-IDT: Automated Irony Detection in English Tweets. | Guna Sekaran Jaganathan, Grentina Kilungeja, Indika Kahanda |
| 2023 | Node Selection in Federated Learning Using Sparsity Regularization and Compressive Sensing. | Mohammad Munzurul Islam, Mohammed Alawad |
| 2023 | Learning Discriminative Feature Representations via Metric Learning for Early Operation of Wind Turbine Anomaly Detection Systems. | Taiki Inoue, Jun Ogata, Makoto Iida, Tetsuji Ogawa |
| 2023 | Rapid Identification of Protein Formulations with Bayesian Optimisation. | Viet Huynh, Buser Say, Peter Vogel, Lucy Cao, Geoffrey I. Webb, Aldeida Aleti |
| 2023 | Denial-of Service (DoS) Attack Detection Using Edge Machine Learning. | Ngoc Suong Huynh, Sebastian De La Cruz, Alexander Perez-Pons |
| 2023 | Gaussian Process with Correlation Factor for Text Classification Problem. | Qianli Hu, Jiangning Chen, Haoyan Zhai, Wei Luo, Juntao Duan |
| 2023 | METFORC: Classification with Meta-Learning and Multimodal Stratified Time Series Forest. | Pouya Hosseinzadeh, Omar Bahri, Peiyu Li, Soukaina Filali Boubrahimi, Shah Muhammad Hamdi |
| 2023 | An Innovative Solar Flare Metadata Collection for Space Weather Analytics. | Jinsu Hong, Chetraj Pandey, Anli Ji, Berkay Aydin |
| 2023 | XTSC-Bench: Quantitative Benchmarking for Explainers on Time Series Classification. | Jacqueline Hllig, Steffen Thoma, Florian Grimm |
| 2023 | Deep Single Models vs. Ensembles: Insights for a Fast Deployment of Parking Monitoring Systems. | Andre Gustavo Hochuli, Jean Paul Barddal, Gillian Cezar Palhano, Leonardo Matheus Mendes, Paulo Ricardo Lisboa de Almeida |
| 2023 | Exploring Neural Network Structure through Sparse Recurrent Neural Networks: A Recasting and Distillation of Neural Network Hyperparameters. | Quincy Hershey, Randy C. Paffenroth, Harsh Nilesh Pathak |