Vadim Bolshev
Biographic Data
| ID | 7945550 |
|---|---|
| NAME | Vadim Bolshev |
| GIVEN NAMES | Vadim |
| FAMILY NAME | Bolshev |
| SIGNATURE | BOLSHEV V |
| AFFILIATIONS | Federal Scientific Agroengineering Center VIM |
| ORCID | 0000-0002-5787-8581 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2022 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
Psychotherapist remarks’ ML classifier
The study shows that automated topic modeling, combined with expert input, can effectively uncover how therapist language patterns emerge and persist across different therapeutic styles. The resulting model, made publicly available, offers broad applications in psychotherapy research, clinical supervision, and training. These findings underscore the potential of topic modeling as a valuable tool for deepening our understanding of therapist commun…
A Social Network Analysis Approach to Covid-19 Community Detection Techniques
Machine learning techniques facilitate efficient analysis of complex networks, and can be used to discover communities. This study aimed use such approaches to raise awareness of the COVID-19. In this regard, social network analysis describes the clustering and classification processes for detecting communities. The background of this paper analyzed the geographical distribution of Tambaram, Chennai, and its public health care units. This study a…
No prominent works on this page.
A Social Network Analysis Approach to Covid-19 Community Detection Techniques
Machine learning techniques facilitate efficient analysis of complex networks, and can be used to discover communities. This study aimed use such approaches to raise awareness of the COVID-19. In this regard, social network analysis describes the clustering and classification processes for detecting communities. The background of this paper analyzed the geographical distribution of Tambaram, Chennai, and its public health care units. This study a…
Psychotherapist remarks’ ML classifier
The study shows that automated topic modeling, combined with expert input, can effectively uncover how therapist language patterns emerge and persist across different therapeutic styles. The resulting model, made publicly available, offers broad applications in psychotherapy research, clinical supervision, and training. These findings underscore the potential of topic modeling as a valuable tool for deepening our understanding of therapist commun…
Computer Science (2 works) · Machine learning (2 works) · Psychology (2 works) · Artificial Intelligence (1 work) · Business (1 work) · Centrality (1 work) · Classifier (UML (1 work) · Cluster analysis (1 work) · Clustering coefficient (1 work) · Computational and Text Analysis Methods (1 work)