Amol Bhilare
Biographic Data
| ID | 8969546 |
|---|---|
| NAME | Amol Bhilare |
| GIVEN NAMES | Amol |
| FAMILY NAME | Bhilare |
| SIGNATURE | BHILARE A |
| AFFILIATIONS | International Institute of Information Technology |
| VERIFIED | No |
| TOTAL WORKS | 4 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 4 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2025 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Adaptive Learning Platforms for Performing Arts
The performing arts education practices are changing with the emergence of abstract learning platforms, which allow individualized, data-driven, and responsive learning environments, which resonate with individual learners and their artistic skills and developmental paths. Conventional performing arts pedagogy has been based on the studio-based teaching approach and the master/apprentice paradigm that has had difficulties in scaling, objectively …
Deep Learning Models for Choreography Generation
Due to the rapid development of deep learning, the new opportunities of computational production of human movement have been opened, especially in the field of dance choreography. The paper discusses deep learning choreography generators that combine movement information, music framework, and time in order to create expressive and sensible sequences of dances. Conventional choreography models tend to have a handmade regulation or professionalized…
Ai-Assisted Student Evaluation in Visual Art Programs
The paper introduces an AI-based system that helps students in visual art education to be evaluated with the help of computational intelligence and pedagogical evaluation to achieve a better degree of objectivity, inclusivity, and creative insight. Conventional methods of art evaluation can tend to be subjective in nature resulting in inconsistency in grading and variation in feedback. The offered system presents a multimodal evaluation pipeline,…
Folk Art Festivals and Ai-Driven Visitor Analytics
Folk art festivals are crucial in maintaining cultural heritage, identifying the community, and intergenerational knowledge transfer. Nonetheless, visitor behavior in such culturally saturated settings is difficult to comprehend because of shifting patterns of crowds, differing groups of participants, and different forms of involvement. The latest developments in the field of artificial intelligence (AI) provide a strong toolkit to filter and pro…
No prominent works on this page.
Deep Learning Models for Choreography Generation
Due to the rapid development of deep learning, the new opportunities of computational production of human movement have been opened, especially in the field of dance choreography. The paper discusses deep learning choreography generators that combine movement information, music framework, and time in order to create expressive and sensible sequences of dances. Conventional choreography models tend to have a handmade regulation or professionalized…
Ai-Assisted Student Evaluation in Visual Art Programs
The paper introduces an AI-based system that helps students in visual art education to be evaluated with the help of computational intelligence and pedagogical evaluation to achieve a better degree of objectivity, inclusivity, and creative insight. Conventional methods of art evaluation can tend to be subjective in nature resulting in inconsistency in grading and variation in feedback. The offered system presents a multimodal evaluation pipeline,…
Folk Art Festivals and Ai-Driven Visitor Analytics
Folk art festivals are crucial in maintaining cultural heritage, identifying the community, and intergenerational knowledge transfer. Nonetheless, visitor behavior in such culturally saturated settings is difficult to comprehend because of shifting patterns of crowds, differing groups of participants, and different forms of involvement. The latest developments in the field of artificial intelligence (AI) provide a strong toolkit to filter and pro…
Adaptive Learning Platforms for Performing Arts
The performing arts education practices are changing with the emergence of abstract learning platforms, which allow individualized, data-driven, and responsive learning environments, which resonate with individual learners and their artistic skills and developmental paths. Conventional performing arts pedagogy has been based on the studio-based teaching approach and the master/apprentice paradigm that has had difficulties in scaling, objectively …
Convolutional neural network (2 works) · Diversity and Impact of Dance (2 works) · Human Motion and Animation (2 works) · Adaptive Learning (1 works) · Aesthetic Perception and Analysis (1 works) · Analytics (1 works) · Art Education and Development (1 works) · Choreography (1 works) · Computational Creativity (1 works) · Cultural heritage (1 works)