Ivan Nazarov

According to our database1, Ivan Nazarov authored at least 18 papers between 2016 and 2024.

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

2024
The Digital Transformation in Health: How AI Can Improve the Performance of Health Systems.
CoRR, 2024

Adaptive User Journeys in Pharma E-Commerce with Reinforcement Learning: Insights from SwipeRx.
CoRR, 2024

Adaptive Behavioral AI: Reinforcement Learning to Enhance Pharmacy Services.
CoRR, 2024

Optimizing HIV Patient Engagement with Reinforcement Learning in Resource-Limited Settings.
CoRR, 2024

2022
Project Achoo: A Practical Model and Application for COVID-19 Detection From Recordings of Breath, Voice, and Cough.
IEEE J. Sel. Top. Signal Process., 2022

CoLES: Contrastive Learning for Event Sequences with Self-Supervision.
Proceedings of the SIGMOD '22: International Conference on Management of Data, Philadelphia, PA, USA, June 12, 2022

2021

2020
Bayesian Sparsification Methods for Deep Complex-valued Networks.
CoRR, 2020

Bayesian Sparsification of Deep C-valued Networks.
Proceedings of the 37th International Conference on Machine Learning, 2020

2019
Demand Forecasting Techniques for Build-to-Order Lean Manufacturing Supply Chains.
Proceedings of the Advances in Neural Networks - ISNN 2019, 2019

Steganographic generative adversarial networks.
Proceedings of the Twelfth International Conference on Machine Vision, 2019

An Industry Case of Large-Scale Demand Forecasting of Hierarchical Components.
Proceedings of the 18th IEEE International Conference On Machine Learning And Applications, 2019

Topology-Based Clusterwise Regression for User Segmentation and Demand Forecasting.
Proceedings of the 2019 IEEE International Conference on Data Science and Advanced Analytics, 2019

2018
Sparse Group Inductive Matrix Completion.
CoRR, 2018

2017
Steganographic Generative Adversarial Networks.
CoRR, 2017

Conformal k-NN Anomaly Detector for Univariate Data Streams.
CoRR, 2017

Conformal <i>k</i>-NN Anomaly Detector for Univariate Data Streams.
Proceedings of the Conformal and Probabilistic Prediction and Applications, 2017

2016
Conformalized Kernel Ridge Regression.
Proceedings of the 15th IEEE International Conference on Machine Learning and Applications, 2016


  Loading...