| 2023 | Improving Embeddings for High-Accuracy Transformer-Based Address Matching Using a Multiple in-Batch Negatives Loss. | Andr V. Duarte, Arlindo L. Oliveira |
| 2023 | Multi-scale Loss based Electron Microscopic Image Pair Matching Method. | Chunting Duan, Kazuhiko Komatsu, Masayuki Sato, Hiroaki Kobayashi |
| 2023 | A Graph Neural Network Based Learning Model for Urban Metro Flow Prediction. | Ifigenia Drosouli, Athanasios Voulodimos, Paris Mastorocostas, Georgios Miaoulis, Djamchid Ghazanfarpour |
| 2023 | A Graph-Based Recommendation Model Using Contrastive Learning for Inductive Scenario. | Yuma Dose, Shuichiro Haruta, Takahiro Hara |
| 2023 | APAM: Adaptive Pre-Training and Adaptive Meta Learning in Language Model for Noisy Labels and Long-Tailed Learning. | Bo Dong, Yiming Xu, Sunyi Chi, Zhenyu Shi, Zheng Du |
| 2023 | Detection Success Assessment of Machine Learning Algorithms Through Manifest File Permissions Demanded by Malicious Android Wares. | Hamza Ayta Doganay, Halil-Ibrahim Blbl |
| 2023 | Many-to-One: Transformer-based unsupervised anomaly detection and localization on industrial images. | Naga Jyothirmayee Dodda, Ziad Kobti |
| 2023 | On Rejecting Low Quality Images to Improve Deep Smartphone Wound Assessment. | Apiwat Ditthapron, Emmanuel O. Agu, Peder C. Pedersen, Clifford Lindsay, Bengisu Tulu, Diane M. Strong |
| 2023 | Controlled Randomness Improves the Performance of Transformer Models. | Tobias Deuer, Cong Zhao, Wolfgang Krmer, David Leonhard, Christian Bauckhage, Rafet Sifa |
| 2023 | Improving Robustness of Convolutional Networks Through Sleep-Like Replay. | Jean Erik Delanois, Aditya Ahuja, Giri P. Krishnan, Timothy Tadros, Julian J. McAuley, Maxim Bazhenov |
| 2023 | Federated Learning for Network Anomaly Detection in a Distributed Industrial Environment. | Alireza Dehlaghi-Ghadim, Tijana Markovic, Miguel Leon, David Sderman, Per Erik Strandberg |
| 2023 | DADO - Low-Cost Query Strategies for Deep Active Design Optimization. | Jens Decke, Christian Gruhl, Lukas Rauch, Bernhard Sick |
| 2023 | Sentence Embedding with Named Entities for Conversation Fingerprint. | Nadir Debbagh, Sbastien Warichet, Emmanuel Helbert, Asma Trabelsi |
| 2023 | Profiling Analysis for Enhancing the Performance of Graph Neural Networks. | Cory Davis, Patrick M. Stockton, Eugene John |
| 2023 | Learning, Tiny and Huge: Heterogeneous Model Augmentation Towards Federated Tiny Learning. | Madhureeta Das, Gaurav Bagwe, Miao Pan, Xiaoyong Yuan, Lan Zhang |
| 2023 | MILPdM: A Predictive Maintenance Architecture for the Military Domain. | Jovani Dalzochio, Rafael Kunst, Jorge L. V. Barbosa, Edison Pignaton de Freitas, Alcio P. D. Binotto |
| 2023 | Assessor Models with a Reject Option for Soccer Result Prediction. | Daniel C. Da Costa, Ricardo B. C. Prudncio, Alexandre Mota |
| 2023 | Machine Learning for Detecting Malware in PE Files. | Collin Connors, Dilip Sarkar |
| 2023 | Hyperparameter Optimization and Feature Inclusion in Graph Neural Networks for Spiking Implementation. | Guojing Cong, Shruti R. Kulkarni, Seung-Hwan Lim, Prasanna Date, Shay Snyder, Maryam Parsa, Dominic Kennedy, Catherine D. Schuman |
| 2023 | Optimizing Naval Movement Using Deep Reinforcement Learning. | Joseph Coble, Armon Barton, Christian Darken, Scotty Black |
| 2023 | Utilizing Machine Learning Techniques in Predicting Job Viability of Information Technology Program Graduates. | Caesar Jude Clemente |
| 2023 | Posterior Collapse in Variational Gradient Origin Networks. | Peter Clapham, Marek Grzes |
| 2023 | CD- NOTEARS: Concept Driven Causal Structure Learning Using NOTEARS. | Jawad Chowdhury, Gabriel Terejanu |
| 2023 | A Robust Negative Learning Approach to Partial Domain Adaptation Using Source Prototypes. | Sandipan Choudhuri, Suli Adeniye, Arunabha Sen |
| 2023 | Depression Diagnosis Algorithm Based on R2U-Net Using Facial Images. | Daegil Choi, Gengjia Zhang, Jaehyo Jung |