| 2023 | Deep Spectral Copula Mechanisms Modeling Coupled and Volatile Multivariate Time Series. | Yang Yang, Zhilin Zhao, Longbing Cao |
| 2023 | FIW-GNN: A Heterogeneous Graph-Based Learning Model for Credit Card Fraud Detection. | Kuan Yan, Junbin Gao, Dmytro Matsypura |
| 2023 | Stochastic Perturbation Averaging Boosts Transferability of Adversarial Examples. | Rongbo Yang, Qianmu Li, Shunmei Meng |
| 2023 | Achieving High Performance in Link Prediction for Wikipedia Articles Using Ensemble Approach. | Weiwu Yang |
| 2023 | JAMES: Normalizing Job Titles with Multi-Aspect Graph Embeddings and Reasoning. | Michiharu Yamashita, Jia Tracy Shen, Thanh Tran, Hamoon Ekhtiari, Dongwon Lee |
| 2023 | Underwater Localization based on Robust Privacy-Preserving and Intelligent Correction of Sound Velocity. | Jingxiang Xu, Ying Guo, Ziqi Wang, Fei Li, Ke Geng |
| 2023 | Sample Topology Exploration for Label Distribution Learning. | Yan-Wen Xiong, Heng-Ru Zhang, Fan Min, Peng-Cheng Li |
| 2023 | HyperTab: Hypernetwork Approach for Deep Learning on Small Tabular Datasets. | Witold Wydmanski, Oleksii Bulenok, Marek Smieja |
| 2023 | A CNN-Transformer Hybrid Network for Multi-scale object detection. | Jianhong Wu, Yingdong Ma |
| 2023 | ISGP: Influence Maximization on Dynamic Social Networks Using Influence SubGraph Propagation. | Wan-Jhen Wu, Shiou-Chi Li, Jen-Wei Huang |
| 2023 | Knowledge Enhanced Graph Neural Networks. | Luisa Werner, Nabil Layada, Pierre Genevs, Sarah Chlyah |
| 2023 | CaFe DBSCAN: A Density-based Clustering Algorithm for Causal Feature Learning. | Pascal Weber, Lukas Miklautz, Akshey Kumar, Moritz Grosse-Wentrup, Claudia Plant |
| 2023 | Entity Recognition Based on Heterogeneous Graph Reasoning of Visual Region and Text Candidate. | Xinzhi Wang, Nengjun Zhu, Jiahao Li, Yudong Chang, Zhennan Li |
| 2023 | TOCOL: Improving Contextual Representation of Pre-trained Language Models via Token-Level Contrastive Learning. | Keheng Wang, Chuantao Yin, Rumei Li, Sirui Wang, Yunsen Xian, Wenge Rong, Zhang Xiong |
| 2023 | Evaluating Explanation Methods of Multivariate Time Series Classification through Causal Lenses. | Etienne Vareille, Adel Abbas, Michele Linardi, Vassilis Christophides |
| 2023 | Electricity Price Forecasting based on Order Books: a differentiable optimization approach. | Lonard Tschora, Tias Guns, Erwan Pierre, Marc Plantevit, Cline Robardet |
| 2023 | Designing Concept Drift Detection Ensembles: A Survey. | Martin Trat, Jivka Ovtcharova |
| 2023 | A Text-based Approach For Link Prediction on Wikipedia Articles. | Anh Hoang Tran, Tam Minh Nguyen, Son T. Luu |
| 2023 | Enhanced Explanations for Knowledge-Augmented Clustering using Subgroup Discovery. | Maciej Szelazek, Dan Hudson, Szymon Bobek, Grzegorz J. Nalepa, Martin Atzmueller |
| 2023 | DynamiSE: Dynamic Signed Network Embedding for Link Prediction. | Haiting Sun, Peng Tian, Yun Xiong, Yao Zhang, Yali Xiang, Xing Jia, Haofen Wang |
| 2023 | ProPML: Probability Partial Multi-label Learning. | Lukasz Struski, Adam Pardyl, Jacek Tabor, Bartosz Zielinski |
| 2023 | Optimizing Resource Allocation for Tumor Simulations over HPC Infrastructures. | Errikos Streviniotis, Nikos Giatrakos, Yannis Kotidis, Thaleia Ntiniakou, Miguel Ponce de Leon |
| 2023 | Automated Detection of Trajectory Groups Based on SNN-Clustering and Relevant Frequent Itemsets. | Friedemann Schwenkreis |
| 2023 | EvoAlign: A Continual Learning Framework for Aligning Evolving Networks. | Shruti Saxena, Joydeep Chandra |
| 2023 | Towards Explaining Satellite Based Poverty Predictions with Convolutional Neural Networks. | Hamid Sarmadi, Thorsteinn S. Rgnvaldsson, Nils Roger Carlsson, Mattias Ohlsson, Ibrahim Wahab, Ola Hall |