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Decision Making

Papers

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Showing 7351–7400 of 12311 papers

TitleStatusHype
Recent advancement in Disease Diagnostic using machine learning: Systematic survey of decades, comparisons, and challenges—0
Recent Advances in Data-Driven Business Process Management—0
Recent Advances in Leveraging Human Guidance for Sequential Decision-Making Tasks—0
Recent Advances in Reinforcement Learning in Finance—0
Recent applications of machine learning, remote sensing, and iot approaches in yield prediction: a critical review—0
Recent Contributions to Theories of Discrimination—0
Recentering Validity Considerations through Early-Stage Deliberations Around AI and Policy Design—0
Reciprocal Recommender Systems: Analysis of State-of-Art Literature, Challenges and Opportunities towards Social Recommendation—0
Recognizing Image Objects by Relational Analysis Using Heterogeneous Superpixels and Deep Convolutional Features—0
Recognizing Multiple Ingredients in Food Images Using a Single-Ingredient Classification Model—0
RecoMed: A Knowledge-Aware Recommender System for Hypertension Medications—0
Recommendations for Government Development and Use of Advanced Automated Systems to Make Decisions about Individuals—0
Recommendation Systems in Libraries: an Application with Heterogeneous Data Sources—0
Recommender Systems in Financial Trading: Using machine-based conviction analysis in an explainable AI investment framework—0
Recommending Multiple Criteria Decision Analysis Methods with A New Taxonomy-based Decision Support System—0
Reconciling Irrational Human Behavior with AI based Decision Making: A Quantum Probabilistic Approach—0
Reconciling Model Multiplicity for Downstream Decision Making—0
Reconnoitering the class distinguishing abilities of the features, to know them better—0
ReCo: Reliable Multi-hop Causal Reasoning via Structural Causal Recurrent Unit—0
Recovering Dense Tissue Multispectral Signal from in vivo RGB Images—0
Rectifying Reinforcement Learning for Reward Matching—0
Recurrent Network Models Of Sequence Generation And Memory—0
Recurrent neural network based decision support system—0
Recurrent Polynomial Network for Dialogue State Tracking with Mismatched Semantic Parsers—0
Recursive Experts: An Efficient Optimal Mixture of Learning Systems in Dynamic Environments—0
Recursive Routing Networks: Learning to Compose Modules for Language Understanding—0
RecycleNet: Latent Feature Recycling Leads to Iterative Decision Refinement—0
Redesigning Electronic Health Record Systems to Support Developing Countries—0
Reduced-Rank Multi-objective Policy Learning and Optimization—0
Reducing Bias in Pre-trained Models by Tuning while Penalizing Change—0
Reducing Optimism Bias in Incomplete Cooperative Games—0
Reducing Overconfidence Predictions for Autonomous Driving Perception—0
Reducing Planning Complexity of General Reinforcement Learning with Non-Markovian Abstractions—0
Reducing the Deployment-Time Inference Control Costs of Deep Reinforcement Learning Agents via an Asymmetric Architecture—0
ReeM: Ensemble Building Thermodynamics Model for Efficient HVAC Control via Hierarchical Reinforcement Learning—0
Re-Envisioning Command and Control—0
Ecosystem knowledge should replace coexistence and stability assumptions in ecological network modelling—0
Referee-Meta-Learning for Fast Adaptation of Locational Fairness—0
Refining Manually-Designed Symbol Grounding and High-Level Planning by Policy Gradients—0
ReflAct: World-Grounded Decision Making in LLM Agents via Goal-State Reflection—0
ReflectDiffu:Reflect between Emotion-intent Contagion and Mimicry for Empathetic Response Generation via a RL-Diffusion Framework—0
Reflections from the Workshop on AI-Assisted Decision Making for Conservation—0
Reframing the Expected Free Energy: Four Formulations and a Unification—0
Regional Tree Regularization for Interpretability in Black Box Models—0
Regression to the Tail: Why the Olympics Blow Up—0
Regret and Cumulative Constraint Violation Analysis for Distributed Online Constrained Convex Optimization—0
Regret Bounds and Experimental Design for Estimate-then-Optimize—0
Regret Bounds for Online Portfolio Selection with a Cardinality Constraint—0
Regret Bounds for Robust Online Decision Making—0
Regret-Minimization Algorithms for Multi-Agent Cooperative Learning Systems—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1SRLAAverage Remaining Cycles6.4—Unverified