Image de couverture de livre

FASE : A Fairness-Aware Spatiotemporal Event Graph Framework for Predictive Policing

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Barman, Pronob Kumar, Barman, Pronoy Kumar, Barman, Plaban Kumar, Salvi, Rohan Mandar
Format:	Preprint
Publié:	2026
Sujets:	Machine Learning Artificial Intelligence
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Unmasking Algorithmic Bias in Predictive Policing: A GAN-Based Simulation Framework with Multi-City Temporal Analysis
par: Barman, Pronob Kumar, et autres
Publié: (2026)

CLiGNet: Clinical Label-Interaction Graph Network for Medical Specialty Classification from Clinical Transcriptions
par: Barman, Pronob Kumar, et autres
Publié: (2026)

Pseudo Label NCF for Sparse OHC Recommendation: Dual Representation Learning and the Separability Accuracy Trade off
par: Barman, Pronob Kumar, et autres
Publié: (2026)

Detecting Abnormal Health Conditions in Smart Home Using a Drone
par: Barman, Pronob Kumar
Publié: (2023)

Enhancing Online Support Group Formation Using Topic Modeling Techniques
par: Barman, Pronob Kumar, et autres
Publié: (2026)

Causal Contextual Bandits with Adaptive Context
par: Madhavan, Rahul, et autres
Publié: (2024)

Distribution-aware Online Continual Learning for Urban Spatio-Temporal Forecasting
par: Wang, Chengxin, et autres
Publié: (2024)

Reinforcement Learning Jazz Improvisation: When Music Meets Game Theory
par: Tapiavala, Vedant, et autres
Publié: (2024)

From Scratch to Fine-Tuned: A Comparative Study of Transformer Training Strategies for Legal Machine Translation
par: Barman, Amit, et autres
Publié: (2025)

GDEGAN: Gaussian Dynamic Equivariant Graph Attention Network for Ligand Binding Site Prediction
par: Animesh, et autres
Publié: (2026)

Multimodal Appearance based Gaze-Controlled Virtual Keyboard with Synchronous Asynchronous Interaction for Low-Resource Settings
par: Meena, Yogesh Kumar, et autres
Publié: (2025)

Directed Graph-alignment Approach for Identification of Gaps in Short Answers
par: Sahu, Archana, et autres
Publié: (2025)

Dual Knowledge Distillation for Efficient Sound Event Detection
par: Xiao, Yang, et autres
Publié: (2024)

Similarity-Based Self-Construct Graph Model for Predicting Patient Criticalness Using Graph Neural Networks and EHR Data
par: Sahu, Mukesh Kumar, et autres
Publié: (2025)

A Comparative Simulation Study of the Fairness and Accuracy of Predictive Policing Systems in Baltimore City
par: Semsar, Samin, et autres
Publié: (2026)

Scalable Permutation-Aware Modeling for Temporal Set Prediction
par: Ranjan, Ashish, et autres
Publié: (2025)

FairPO: Robust Preference Optimization for Fair Multi-Label Learning
par: Mondal, Soumen Kumar, et autres
Publié: (2025)

Spectral Graph Neural Networks for Cognitive Task Classification in fMRI Connectomes
par: Maji, Debasis, et autres
Publié: (2025)

Fuzzy Rule based Intelligent Cardiovascular Disease Prediction using Complex Event Processing
par: Kumar, Shashi Shekhar, et autres
Publié: (2024)

Fair Division with Market Values
par: Barman, Siddharth, et autres
Publié: (2024)

AI-driven Transformer Model for Fault Prediction in Non-Linear Dynamic Automotive System
par: Kumar, Priyanka
Publié: (2024)

Debiasing Text Safety Classifiers through a Fairness-Aware Ensemble
par: Sturman, Olivia, et autres
Publié: (2024)

Exploring the Task-agnostic Trait of Self-supervised Learning in the Context of Detecting Mental Disorders
par: Gupta, Rohan Kumar, et autres
Publié: (2024)

Relations Are Channels: Knowledge Graph Embedding via Kraus Decompositions
par: Chaki, Sayan Kumar
Publié: (2026)

Pruning for Generalization: A Transfer-Oriented Spatiotemporal Graph Framework
par: Jing, Zihao, et autres
Publié: (2026)

Graph In-Context Operator Networks for Generalizable Spatiotemporal Prediction
par: Wu, Chenghan, et autres
Publié: (2026)

Conservation-informed Graph Learning for Spatiotemporal Dynamics Prediction
par: Mi, Yuan, et autres
Publié: (2024)

Adversarial Activation Patching: A Framework for Detecting and Mitigating Emergent Deception in Safety-Aligned Transformers
par: Ravindran, Santhosh Kumar
Publié: (2025)

Federated Semi-Supervised Graph Neural Networks with Prototype-Guided Pseudo-Labeling for Privacy-Preserving Gestational Diabetes Mellitus Prediction
par: Daniela, G. Victor, et autres
Publié: (2026)

Multi-Agent Reinforcement Learning for Dynamic Pricing: Balancing Profitability,Stability and Fairness
par: Amma, Krishna Kumar Neelakanta Pillai Santha Kumari
Publié: (2026)

Knowledge Integration Strategies in Autonomous Vehicle Prediction and Planning: A Comprehensive Survey
par: Manas, Kumar, et autres
Publié: (2025)

Accident-Driven Congestion Prediction and Simulation: An Explainable Framework Using Advanced Clustering and Bayesian Networks
par: Talluri, Kranthi Kumar, et autres
Publié: (2025)

Global Convergence of Average Reward Constrained MDPs with Neural Critic and General Policy Parameterization
par: Satheesh, Anirudh, et autres
Publié: (2026)

A Framework for Fair Evaluation of Variance-Aware Bandit Algorithms
par: Wolf, Elise
Publié: (2025)

Event-Aware Prompt Learning for Dynamic Graphs
par: Yu, Xingtong, et autres
Publié: (2025)

Agentic Risk-Aware Set-Based Engineering Design
par: Kumar, Varun, et autres
Publié: (2026)

Role-Aware Conditional Inference for Spatiotemporal Ecosystem Carbon Flux Prediction
par: Sun, Yiming, et autres
Publié: (2026)

TRISKELION-1: Unified Descriptive-Predictive-Generative AI
par: Kumar, Nardeep, et autres
Publié: (2025)

Safe Urban Traffic Control via Uncertainty-Aware Conformal Prediction and World-Model Reinforcement Learning
par: Chandra, Joydeep, et autres
Publié: (2026)

Learning from History: A Retrieval-Augmented Framework for Spatiotemporal Prediction
par: Jia, Hao, et autres
Publié: (2025)