SOTAVerified

Decision Making

Papers

Showing 1145111500 of 12311 papers

TitleStatusHype
Risk-sensitive Inverse Reinforcement Learning via Semi- and Non-Parametric MethodsCode0
Deep Reinforcement Learning for Sepsis TreatmentCode0
Interpretable Convolutional Neural Networks for Effective Translation Initiation Site Prediction0
Bootstrap Robust Prescriptive AnalyticsCode0
SkipNet: Learning Dynamic Routing in Convolutional NetworksCode1
D numbers theory based game-theoretic framework in adversarial decision making under fuzzy environment0
Asymmetric return rates and wealth distribution influenced by the introduction of technical analysis into a behavioral agent based model0
Application of Natural Language Processing to Determine User Satisfaction in Public Services0
Relating Input Concepts to Convolutional Neural Network Decisions0
Modeling Epistemological Principles for Bias Mitigation in AI Systems: An Illustration in Hiring Decisions0
Dropping Activation Outputs with Localized First-layer Deep Network for Enhancing User Privacy and Data Security0
Classification with Costly Features using Deep Reinforcement LearningCode0
Does mitigating ML's impact disparity require treatment disparity?Code0
Anonymous Hedonic Game for Task Allocation in a Large-Scale Multiple Agent SystemCode0
Predict Responsibly: Improving Fairness and Accuracy by Learning to DeferCode0
From Algorithmic Black Boxes to Adaptive White Boxes: Declarative Decision-Theoretic Ethical Programs as Codes of Ethics0
Sub-committee Approval Voting and Generalised Justified Representation Axioms0
Bayesian Best-Arm Identification for Selecting Influenza Mitigation Strategies0
Hierarchical Modeling of Seed Variety Yields and Decision Making for Future Planting Plans0
Loss Functions for Multiset Prediction0
A unified decision making framework for supply and demand management in microgrid networks0
Learning and Visualizing Localized Geometric Features Using 3D-CNN: An Application to Manufacturability Analysis of Drilled HolesCode0
Medical Diagnosis From Laboratory Tests by Combining Generative and Discriminative Learning0
Should You Derive, Or Let the Data Drive? An Optimization Framework for Hybrid First-Principles Data-Driven Modeling0
CogSciK: Clustering for Cognitive Science Motivated Decision Making0
Information Directed Sampling for Stochastic Bandits with Graph Feedback0
Learning to Diagnose: Assimilating Clinical Narratives using Deep Reinforcement Learning0
Query-free Clothing Retrieval via Implicit Relevance Feedback0
Counterfactual Explanations without Opening the Black Box: Automated Decisions and the GDPRCode2
Servant of Many Masters: Shifting priorities in Pareto-optimal sequential decision-making0
Medical Image Segmentation Based on Multi-Modal Convolutional Neural Network: Study on Image Fusion Schemes0
Learning Robust Rewards with Adversarial Inverse Reinforcement LearningCode1
How Should a Robot Assess Risk? Towards an Axiomatic Theory of Risk in Robotics0
Automatic Knee Osteoarthritis Diagnosis from Plain Radiographs: A Deep Learning-Based ApproachCode0
Discovery Radiomics with CLEAR-DR: Interpretable Computer Aided Diagnosis of Diabetic Retinopathy0
Crop Planning using Stochastic Visual Optimization0
Multimodal Probabilistic Model-Based Planning for Human-Robot InteractionCode0
The Heterogeneous Ensembles of Standard Classification Algorithms (HESCA): the Whole is Greater than the Sum of its Parts0
Interpreting Contextual Effects By Contextual Modeling In Recommender Systems0
Hierarchical State Abstractions for Decision-Making Problems with Computational Constraints0
Exploiting generalization in the subspaces for faster model-based learning0
Multi-Objective Approaches to Markov Decision Processes with Uncertain Transition Parameters0
Decision Trees for Helpdesk Advisor Graphs0
Decomposition of Uncertainty in Bayesian Deep Learning for Efficient and Risk-sensitive Learning0
Exploiting oddsmaker bias to improve the prediction of NFL outcomes0
Asymmetric Actor Critic for Image-Based Robot Learning0
Near-Optimal Adversarial Policy Switching for Decentralized Asynchronous Multi-Agent Systems0
Residual Information of Previous Decision Affects Evidence Accumulation in Current Decision0
On Hashing-Based Approaches to Approximate DNF-Counting0
Two-stage Algorithm for Fairness-aware Machine Learning0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1SRLAAverage Remaining Cycles6.4Unverified