| 2024 | Student Mental Health Screening with Text Message Metadata. | M. L. Tlachac, Samuel S. Ogden |
| 2024 | DeepCensored: Deep-Learning Based Probabilistic Forecasting Framework for Censored Data. | Jiahao Tian, Michael D. Porter |
| 2024 | Interpretable Deep Learning Model for Multiclass Brain Tumor Classification. | Raihana Tasnim, Kaushik Roy, Madhuri Siddula |
| 2024 | Mutual Information-Based Feature Selection for Federated Learning Environments. | Samuel Surez-Marcote, Laura Morn-Fernndez, Vernica Boln-Canedo |
| 2024 | Exploring Machine Learning for Faster Mapping and Scheduling of Automotive Applications on ADAS Platforms. | Rafael Sterzinger, Wolfgang Koch, Ralph Hoch |
| 2024 | Evaluating the Clinical Applicability of Neural Networks for Meningioma Tumor Segmentation on Multiparametric 3D MRI. | Diya Sreedhar |
| 2024 | A Few-Shot Learning Approach for Sound Source Distance Estimation Using Relation Networks. | Amirreza Sobhdel, Roozbeh Razavi-Far, Vasile Palade |
| 2024 | LLM-based Sign Language Production. | Wellington Silveira, Luca Mendona, Rodrigo de Bem |
| 2024 | An Approach for Data Augmentation in HAR with Wearable Sensors Using TIMEGAN. | Jonathan C. F. da Silva, Mateus C. Silva, Vicente J. P. Amorim, Pedro S. O. Lazaroni, Ricardo A. R. Oliveira |
| 2024 | Leveraging LLMs for Integrated Sentiment and Topic Analysis on African Social Media. | Harriet Sibitenda, Ruofan Hu, Elke A. Rundensteiner, Awa Diattara, Assitan Traore, Cheikh Ba |
| 2024 | Deep Multi-Agent Reinforcement Learning for Real-World Signalized Traffic Corridor Control. | Salman Shuvo, Sayak Mukherjee, Samrat Chatterjee, Sonja Glavaski, Draguna L. Vrabie, Geline Canayon, Matthew Juckes, Raimundo Rodulfo |
| 2024 | Robust Detection of Line Numbers in Piping and Instrumentation Diagrams (P&IDs). | Vasil Shteriyanov, Rimma Dzhusupova, Jan Bosch, Helena Holmstrm Olsson |
| 2024 | Segmentation of Maya Hieroglyphs through Fine-Tuned Foundation Models. | FNU Shivam, Megan Leight, Mary Kate Kelly, Claire Davis, Kelsey Clodfelter, Jacob Thrasher, Chowdhury Mohammad Abid Rahman, Yenumula Reddy, Prashnna K. Gyawali |
| 2024 | Domain Adaptation Utilizing Texts and Visions for Cross-domain Recommendations with No Shared Users. | Kentaro Shiga, Shuichiro Haruta, Zhi Li, Takahiro Hara |
| 2024 | Deep Neural Networks for Comprehensive Environmental Noise Estimation in European Cities. | Jivitesh Sharma, Stefan Jetschny, Miquel S. Maza, Nuria B. Guardia, Eulalia Peris, Jaume F. Esteve, Mohamed B. Belaid |
| 2024 | Deep Learning-Enhanced Gap Filling in Drosophila Melanogaster Genomic Data. | Jivitesh Sharma, Stefan Jetschny, Martin Kapun, Mohamed-Bachir Belaid |
| 2024 | Evaluating Text Summaries Generated by Large Language Models Using OpenAI's GPT. | Hassan Shakil, Atqiya Munawara Mahi, Phuoc Nguyen, Zeydy Ortiz, Jugal Kalita, Mamoun T. Mardini |
| 2024 | ECGInsight: A Web Application-Based Approach to Myocardial Infarction Detection From ECG Image Reports Utilizing ResNet. | Jahanggir Hossain Setu, Syed Tangim Pasha, Nabarun Halder, Sankar Sikder, Ashraful Islam, Md. Zahangir Alam |
| 2024 | Mixture-of-Experts for Multi-Domain Defect Identification in Non-Destructive Inspection. | Venkata Devesh Reddy Seethi, Ashiqur Rahman, Austin Yunker, Rami Lake, Zachary Kral, Rajkumar Kettimuthu, Hamed Alhoori |
| 2024 | Capturing Uncertainty over Time for Spiking Neural Networks by Exploiting Conformal Prediction Sets. | Daniel Scholz, Oliver Emonds, Felix Kreutz, Pascal Gerhards, Jiaxin Huang, Klaus Knobloch, Alois Knoll, Christian Mayr |
| 2024 | Domain Contextual and Relational Graph Model for Predictive Maintenance. | Robert Schiller, Trupti Chavan, Akshay Kakkar, Viraj E, Don Williams, Derek Snaidauf, Edward Bowen, Deepak Mittal, Sunil R. Tiyyagura |
| 2024 | UDBE: Unsupervised Diffusion-Based Brightness Enhancement in Underwater Images. | Tatiana Tas Schein, Gustavo Pereira de Almeira, Stephanie Loi Brio, Rodrigo Andrade de Bem, Felipe Gomes de Oliveira, Paulo L. J. Drews-Jr |
| 2024 | Optimal Parameter Estimation of Biological Systems through Deep Reinforcement Learning. | Fadil Santosa, Loren Anderson |
| 2024 | Comparative Study of Machine Learning Techniques in Prediction of Superfund Sites. | Karthik Sabhanayakam, Arya Kamat, Sohail H. Zaidi |
| 2024 | Matrix-Based Representations and Gradient-Free Algorithms for Neural Network Training. | Turibius Rozario, Parham Oveissi, Ankit Goel |