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- Henrique Santos 0002, Ke Shen 0003, Alice M. Mulvehill, Mayank Kejriwal, Deborah L. McGuinness. A Theoretically Grounded Question Answering Data Set for Evaluating Machine Common Sense. Data Intell., 6(1):1-28, Winter 2024.
- Yuhong Zhang, Jianqing Wu, Qi Zhang, Xuegang Hu. Multi-view Feature Learning for the Over-penalty in Adversarial Domain Adaptation. Data Intell., 6(1):183-200, Winter 2024.
- Paulo Pirozelli, Marcos Menon José, Igor Cataneo Silveira, Flávio Nakasato Cação, Sarajane M. Peres, Anarosa A. F. Brandão, Anna H. R. Costa, Fábio Gagliardi Cozman. Benchmarks for Pirá 2.0, a Reading Comprehension Dataset about the Ocean, the Brazilian Coast, and Climate Change. Data Intell., 6(1):29-63, Winter 2024.
- Giorgio Bertolazzi, Michele Tumminello, Gaia Morello, Beatrice Belmonte, Claudio Tripodo. Resampling approaches for the quantitative analysis of spatially distributed cells. Data Intell., 6(1):104-119, Winter 2024.
- Qin Zhang, Haili Xue, Yaotian Wang, Yao Wang, ZiQin Zhang, Qinghua Qin, Haoguang Liang. The stance and factors of international organizations towards countries from a Chinese perspective. Data Intell., 6(1):158-182, Winter 2024.
- Huiqing Qi, Fang Li, Shengli Tan, Xiangyun Zhang. Training Generative Adversarial Networks with Adaptive Composite Gradient. Data Intell., 6(1):120-157, Winter 2024.
- Amos Azaria, Rina Azoulay, Shulamit Reches. ChatGPT is a Remarkable Tool - For Experts. Data Intell., 6(1):240-296, Winter 2024.
- Shangying Hua, Shuangci Jin, Shengyi Jiang. The Limitations and Ethical Considerations of ChatGPT. Data Intell., 6(1):201-239, Winter 2024.
- Shuqin Li, Kaibin Zhou, Zeyang Zhuang, Haofen Wang, Jun Ma. Towards Text-to-SQL over Aggregate Tables. Data Intell., 5(2):457-474, Spring 2023.