Hamed Khosravi

Orcid: 0000-0003-0378-6291

According to our database1, Hamed Khosravi authored at least 14 papers between 2022 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
Conformal Selective Acting: Anytime-Valid Risk Control for RLVR-Trained LLMs.
CoRR, May, 2026

Catching a Moving Subspace: Low-Rank Bandits Beyond Stationarity.
CoRR, May, 2026

2025
KANGURA: Kolmogorov-Arnold Network-Based Geometry-Aware Learning with Unified Representation Attention for 3D Modeling of Complex Structures.
CoRR, November, 2025

From Automation to Autonomy in Smart Manufacturing: A Bayesian Optimization Framework for Modeling Multi-Objective Experimentation and Sequential Decision Making.
CoRR, April, 2025

LNUCB-TA: Linear-nonlinear Hybrid Bandit Learning with Temporal Attention.
CoRR, March, 2025

2024
A data driven sequential learning framework to accelerate and optimize multi-objective manufacturing decisions.
J. Intell. Manuf., December, 2024

Chatbots and ChatGPT: a bibliometric analysis and systematic review of publications in Web of Science and Scopus databases.
Int. J. Data Min. Model. Manag., 2024

A Comprehensive Approach to Carbon Dioxide Emission Analysis in High Human Development Index Countries using Statistical and Machine Learning Techniques.
CoRR, 2024

Binary Gaussian Copula Synthesis: A Novel Data Augmentation Technique to Advance ML-based Clinical Decision Support Systems for Early Prediction of Dialysis Among CKD Patients.
CoRR, 2024

An Augmented Surprise-guided Sequential Learning Framework for Predicting the Melt Pool Geometry.
CoRR, 2024

2023
Accelerating material discovery with a threshold-driven hybrid acquisition policy-based Bayesian optimization.
CoRR, 2023

Strategic Data Augmentation with CTGAN for Smart Manufacturing: Enhancing Machine Learning Predictions of Paper Breaks in Pulp-and-Paper Production.
CoRR, 2023

Identification of the Factors Affecting the Reduction of Energy Consumption and Cost in Buildings Using Data Mining Techniques.
CoRR, 2023

2022
An improved group teaching optimization algorithm based on local search and chaotic map for feature selection in high-dimensional data.
Expert Syst. Appl., 2022


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