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Decision Making

Papers

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Showing 5251–5300 of 12311 papers

TitleStatusHype
Weight Freezing: A Regularization Approach for Fully Connected Layers with an Application in EEG ClassificationCode1
Bring Your Own (Non-Robust) Algorithm to Solve Robust MDPs by Estimating The Worst Kernel—0
Decision Stacks: Flexible Reinforcement Learning via Modular Generative ModelsCode1
HiTZ@Antidote: Argumentation-driven Explainable Artificial Intelligence for Digital MedicineCode0
Distributed Consensus Algorithm for Decision-Making in Multi-agent Multi-armed Bandit—0
Strategies to exploit XAI to improve classification systems—0
Comparing Regularized Kelvinlet Functions and the Finite Element Method for Registration of Medical Images to Sparse Organ Data—0
Overview of the Problem List Summarization (ProbSum) 2023 Shared Task on Summarizing Patients' Active Diagnoses and Problems from Electronic Health Record Progress Notes—0
Instructed Diffuser with Temporal Condition Guidance for Offline Reinforcement Learning—0
Federated Linear Contextual Bandits with User-level Differential Privacy—0
A cognitive process approach to modeling gap acceptance in overtaking—0
Ambulance Demand Prediction via Convolutional Neural Networks—0
Causal Fairness for Outcome Control—0
Safe Collaborative FilteringCode0
Spain on Fire: A novel wildfire risk assessment model based on image satellite processing and atmospheric information—0
The Importance of Time in Causal Algorithmic RecourseCode0
AI-based Identification of Most Critical Cyberattacks in Industrial Systems—0
Autonomous Capability Assessment of Sequential Decision-Making Systems in Stochastic Settings (Extended Version)Code0
Changing Data Sources in the Age of Machine Learning for Official Statistics—0
Dual policy as self-model for planning—0
PlayBest: Professional Basketball Player Behavior Synthesis via Planning with DiffusionCode0
Extension of the Blackboard Architecture with Common Properties and Generic Rules—0
Vague Preference Policy Learning for Conversational Recommendation—0
Semantic web technologies in sensor-based personal health monitoring systems: A systematic mapping studyCode0
Recent applications of machine learning, remote sensing, and iot approaches in yield prediction: a critical review—0
Finding Counterfactually Optimal Action Sequences in Continuous State SpacesCode0
Adversarial attacks and defenses in explainable artificial intelligence: A surveyCode2
Agent Performing Autonomous Stock Trading under Good and Bad SituationsCode0
RescueSpeech: A German Corpus for Speech Recognition in Search and Rescue Domain—0
Turning large language models into cognitive modelsCode1
Stochastic Principal-Agent Problems: Efficient Computation and Learning—0
Sentiment Analysis in Finance: From Transformers Back to eXplainable Lexicons (XLex)Code1
Managing Wildfire Risk and Promoting Equity through Optimal Configuration of Networked MicrogridsCode0
Counterfactual Explanations and Predictive Models to Enhance Clinical Decision-Making in Schizophrenia using Digital Phenotyping—0
Quantitative Analysis of Primary Attribution Explainable Artificial Intelligence Methods for Remote Sensing Image ClassificationCode0
Designing explainable artificial intelligence with active inference: A framework for transparent introspection and decision-making—0
Agents Explore the Environment Beyond Good Actions to Improve Their Model for Better DecisionsCode1
Graph Classification Gaussian Processes via Spectral Features—0
DEK-Forecaster: A Novel Deep Learning Model Integrated with EMD-KNN for Traffic Prediction—0
Enabling Intelligent Interactions between an Agent and an LLM: A Reinforcement Learning ApproachCode1
A Belief Model for Conflicting and Uncertain Evidence -- Connecting Dempster-Shafer Theory and the Topology of Evidence—0
A Quantum Probability Driven Framework for Joint Multi-Modal Sarcasm, Sentiment and Emotion Analysis—0
A Survey of Quantum-Cognitively Inspired Sentiment Analysis Models—0
Scalable Concept Extraction in Industry 4.0—0
A Computational Analysis of Oral Argument in the Supreme Court—0
Non-parametric Probabilistic Time Series Forecasting via Innovations Representation—0
Learning Embeddings for Sequential Tasks Using Population of AgentsCode0
LIBERO: Benchmarking Knowledge Transfer for Lifelong Robot LearningCode3
Navigation through the complex world -- the neurophysiology of decision-making processes—0
Forecasting Crude Oil Prices Using Reservoir Computing ModelsCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1SRLAAverage Remaining Cycles6.4—Unverified