M S Pavithra M S Pavithra
Biographic Data
| ID | 10130444 |
|---|---|
| NAME | M S Pavithra M S Pavithra |
| GIVEN NAMES | M S Pavithra M S |
| FAMILY NAME | Pavithra |
| SIGNATURE | PAVITHRA M S P M S |
| VERIFIED | No |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2025 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
Machine Learning for Art Critique Generation
The development of artificial intelligence has led to new opportunities to create art critique that is coherent and reacting to context to produce the mimic depth of analysis of humans. The current paper is an in-depth machine learning system that can generate structured, interpretive, and stylistically rich art reviews through the application of state-of-the-art visual comprehension and natural language generation. The suggested system is a comb…
Managing Contemporary Art Institutions With Predictive Insights
Modern art organizations are becoming more and more active in unstable cultural, economic, and digital conditions that require evidence-based decision making, not based on intuitions and ex-post reporting. This paper suggests a predictive analytics system to be used in strategic and operational management of museums, galleries, and hybrid cultural institutions. Combining nonhomogeneous data flows visitor attendance and mobility traces, engagement…
No prominent works on this page.
Machine Learning for Art Critique Generation
The development of artificial intelligence has led to new opportunities to create art critique that is coherent and reacting to context to produce the mimic depth of analysis of humans. The current paper is an in-depth machine learning system that can generate structured, interpretive, and stylistically rich art reviews through the application of state-of-the-art visual comprehension and natural language generation. The suggested system is a comb…
Managing Contemporary Art Institutions With Predictive Insights
Modern art organizations are becoming more and more active in unstable cultural, economic, and digital conditions that require evidence-based decision making, not based on intuitions and ex-post reporting. This paper suggests a predictive analytics system to be used in strategic and operational management of museums, galleries, and hybrid cultural institutions. Combining nonhomogeneous data flows visitor attendance and mobility traces, engagement…
Aesthetic Perception and Analysis (1 work) · Analytics (1 work) · Art History and Market Analysis (1 work) · Comprehension (1 work) · Computational linguistics (1 work) · Convolutional neural network (1 work) · Cultural Industries and Urban Development (1 work) · Deep learning (1 work) · Exhibition (1 work) · General partnership (1 work)