1 citations · 1 across the 7 of their papers we have counts for
8 papers
Conditional Graph Diffusion for Negotiation Support: Overcoming Discrete Infeasibility and Preference Elicitation Gaps
Moirangthem Tiken Singh
Traditional bilateral negotiation support systems search over discrete allocation spaces. This approach encounters structural infeasibility when no discrete outcome satisfies indiv…
Bridging Semantics and Strategy: A Dual-Stream Graph Network for Equitable Negotiation Forecasting
Moirangthem Tiken Singh
Forecasting outcomes in mixed-motive negotiations requires integrating explicit linguistic cues with latent strategic constraints, such as budgets and alternatives. Existing comput…
Differentiable Normative Guidance for Nash Bargaining Solution Recovery
Moirangthem Tiken Singh, Surajit Borkotokey, Rajnish Kumar
Autonomous artificial intelligence agents in negotiation systems must generate equitable utility allocations satisfying individual rationality (IR), ensuring each agent receives at…
Operationalizing Fairness: Post-Hoc Threshold Optimization Under Hard Resource Limits
Moirangthem Tiken Singh, Amit Kalita, Sapam Jitu Singh
The deployment of machine learning in high-stakes domains requires a balance between predictive safety and algorithmic fairness. However, existing fairness interventions often as-…
Ensemble-Enhanced Graph Autoencoder with GAT and Transformer-Based Encoders for Robust Fault Diagnosis
Moirangthem Tiken Singh
Fault classification in industrial machinery is vital for enhancing reliability and reducing downtime, yet it remains challenging due to the variability of vibration patterns acros…
Graph-Based Fault Diagnosis for Rotating Machinery: Adaptive Segmentation and Structural Feature Integration
Moirangthem Tiken Singh
This paper proposes a novel graph-based framework for robust and interpretable multiclass fault diagnosis in rotating machinery. The method integrates entropy-optimized signal segm…
Spatial-Temporal Bearing Fault Detection Using Graph Attention Networks and LSTM
Moirangthem Tiken Singh, Rabinder Kumar Prasad, Gurumayum Robert Michael +2
Purpose: This paper aims to enhance bearing fault diagnosis in industrial machinery by introducing a novel method that combines Graph Attention Network (GAT) and Long Short-Term Me…
Heterogeneous Graph Auto-Encoder for CreditCard Fraud Detection
Moirangthem Tiken Singh, Rabinder Kumar Prasad, Gurumayum Robert Michael +2
The digital revolution has significantly impacted financial transactions, leading to a notable increase in credit card usage. However, this convenience comes with a trade-off: a su…