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Six Human-Centered Artificial Intelligence Grand Challenges.

, , , , , , , , , , , , , , , , , , , , , , , , , и . Int. J. Hum. Comput. Interact., 39 (3): 391-437 (2023)

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Yusuf Özmen

Ayse Özlem Tastan

Burcu Özmen

Elif Özmen

Cansu Özge Özmen

 

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Role of entrepreneurial support for networking in innovation ecosystems: an agent based approach., , , , и . WSC, стр. 3112-3113. IEEE/ACM, (2015)Six Human-Centered Artificial Intelligence Grand Challenges., , , , , , , , , и 16 other автор(ы). Int. J. Hum. Comput. Interact., 39 (3): 391-437 (2023)FragXsiteDTI: Revealing Responsible Segments in Drug-Target Interaction with Transformer-Driven Interpretation., , , , , и . CoRR, (2023)Controlling the Misinformation Diffusion in Social Media by the Effect of Different Classes of Agents., , , , и . CoRR, (2024)Quantum Contagion: A Quantum-Like Approach for the Analysis of Social Contagion Dynamics with Heterogeneous Adoption Thresholds., и . Entropy, 23 (5): 538 (2021)AttentionSiteDTI: an interpretable graph-based model for drug-target interaction prediction using NLP sentence-level relation classification., , , , , , и . Briefings Bioinform., (2022)Multi-agent Naïve Utility Calculus: Intent Recognition in the Stag-Hunt Game., и . SBP-BRiMS, том 12720 из Lecture Notes in Computer Science, стр. 331-340. Springer, (2021)Improving Fairness via Deep Ensemble Framework Using Preprocessing Interventions., и . HCI (40), том 14050 из Lecture Notes in Computer Science, стр. 477-489. Springer, (2023)TabFairGAN: Fair Tabular Data Generation with Generative Adversarial Networks., и . Mach. Learn. Knowl. Extr., 4 (2): 488-501 (2022)Through a fair looking-glass: mitigating bias in image datasets., , , и . CoRR, (2022)