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20202026
most citedEnhancing Cancer Diagnosis with Explainable & Trustworthy Deep Learning Models

3 citations · 3 across the 8 of their papers we have counts for

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5 papers · 1 filter

cs.AI2026

Reputation-driven Cooperation in Lattice-based Decentralized Federated Learning through Evolutionary Game Theory

Phuc Hoang Truong Huynh, Dung Tran Vinh, Khoa Duc Anh Lam +9

Decentralized Federated Learning (DFL) has emerged as an optimal privacy-preserving solution; however, it remains vulnerable to opportunistic behaviors due to the absence of a cent…

cs.AI2026

Humans Are More Diverse: Frontier LLMs Show Extreme Policies in Idealised AI Development Races

Phu Hoa Pham, Duy Minh Dao Sy, Trung Kiet Huynh +9

An AI development race creates a multi-agent safety dilemma. Each company can develop slowly and safely, or move faster while taking a risk that may remove its final reward. We use…

cs.AI2026

Co-evolution of social reward and punishment under institutional interventions

Van An Nguyen, Vuong Khang Huynh, Hoai Thuong Nguyen +14

We investigate how peer and institutional incentives jointly shape the evolution of cooperation, social welfare, and enforcement efficiency in social dilemmas. In a Prisoners Dilem…

cs.AI2026

Falling Behind Drives Unsafe Development in an Idealised AI Race Experiment

Elias Fernández Domingos, The Anh Han

Technological races create tension between speed and safety: actors may gain by moving faster than competitors, even when risky development is harmful. This is prominent in debates…

cs.AI20243 cited

Enhancing Cancer Diagnosis with Explainable & Trustworthy Deep Learning Models

Badaru I. Olumuyiwa, The Anh Han, Zia U. Shamszaman

This research presents an innovative approach to cancer diagnosis and prediction using explainable Artificial Intelligence (XAI) and deep learning techniques. With cancer causing n…