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Arun Kumar Tripathi

Biographic Data

ID6429080
NAMEArun Kumar Tripathi
GIVEN NAMESArun Kumar
FAMILY NAMETripathi
SIGNATURETRIPATHI A K
AFFILIATIONSCentral University of Tibetan Studies
ORCID0000-0001-5138-2190
VERIFIEDYes
TOTAL WORKS12
TOTAL CITATIONS0
AUTHOR COUNT12
EDITOR COUNT0
FIRST PUBLICATION YEAR2000
LATEST PUBLICATION YEAR2025
H-INDEX0
  • Smart Contracts for Ai-Generated Art Rights

    Open Access•C Komalavalli C Komalavalli, C Komalavalli et al.•ARTICLE•ShodhKosh: Journal of Visual and…•2025

    The swift AI-generated art development has further fueled the discussion on both authorship and ownership, as well as on whether digital rights can be enforced. The existing intellectual property paradigms lack the ability to recognise works produced by autonomous systems fully or in part, which presents proxies in the maintenance of copyright, derivatives and cross-jurisdictional identification of AI-related rights. With more and more creative o…

  • Evaluating Artistic Creativity Through Neural Models

    Open Access•Quazi Taif Sadat, Arun Kumar Tripathi et al.•ARTICLE•ShodhKosh: Journal of Visual and…•2025

    The increasing overlap of artificial intelligence (AI) with artistic creativity is an exciting prospect of learning more about how machines may be used to copy, enhance, or even recreate human creative behaviors. In this paper, the neural frameworks of self-assessment of artistic creativity are discussed with reference to the generative models of Generative Adversarial Networks (GANs), diffusion models, and transformer-based frameworks. Although …

  • Enhancing Cyberbullying Detection Using Ensemble Learning and Embeddings

    Open Access•Prashant Agrawal, Awanit Kumar et al.•ARTICLE•ShodhKosh: Journal of Visual and…•2024

    Cyberbullying represents a significant challenge in online environments, requiring advanced techniques for its accurate detection and mitigation. This paper introduces a novel approach that leverages ensemble learning and embedding methods to enhance cyberbullying detection. The proposed framework integrates various classifiers, including deep learning models, decision trees, random forests, and logistic regression, in combination with Universal …

  • Hermeneutic of performing cultures

    Open Access•Arun Kumar Tripathi•ARTICLE•AI & Society•2023

  • Transformative power of technologies

    Open Access•Mrinmoy Majumder, Arun Kumar Tripathi•ARTICLE•AI & Society•2023

  • Transforming hermeneutics

    Open Access•Arun Kumar Tripathi•ARTICLE•AI & Society•2023

  • Section 5. Supplements

    César Cuello Nieto, Zach Pirtle et al.•ARTICLE•Techné Research in Philosophy and…•2020

  • Hermeneutics of technological culture

    Open Access•Arun Kumar Tripathi•ARTICLE•AI & Society•2017

  • Culture of sedimentation in the human–technology interaction

    Open Access•Arun Kumar Tripathi•ARTICLE•AI & Society•2016

  • Postphenomenological investigations of technological experience

    Open Access•Arun Kumar Tripathi•ARTICLE•AI & Society•2015

  • Ethics and aesthetics of technologies

    Open Access•Arun Kumar Tripathi•ARTICLE•AI & Society•2010

  • Antifeedant and antifungal activity of chromene compounds isolated from Blepharispermum subsessile

    Open Access•Santosh Kumar Agarwal, Sushma Verma et al.•ARTICLE•Journal of Ethnopharmacology•2000

No prominent works on this page.

  • Antifeedant and antifungal activity of chromene compounds isolated from Blepharispermum subsessile

    Open Access•Santosh Kumar Agarwal, Sushma Verma et al.•ARTICLE•Journal of Ethnopharmacology•2000

  • Ethics and aesthetics of technologies

    Open Access•Arun Kumar Tripathi•ARTICLE•AI & Society•2010

  • Postphenomenological investigations of technological experience

    Open Access•Arun Kumar Tripathi•ARTICLE•AI & Society•2015

  • Culture of sedimentation in the human–technology interaction

    Open Access•Arun Kumar Tripathi•ARTICLE•AI & Society•2016

  • Hermeneutics of technological culture

    Open Access•Arun Kumar Tripathi•ARTICLE•AI & Society•2017

  • Section 5. Supplements

    César Cuello Nieto, Zach Pirtle et al.•ARTICLE•Techné Research in Philosophy and…•2020

  • Hermeneutic of performing cultures

    Open Access•Arun Kumar Tripathi•ARTICLE•AI & Society•2023

  • Transformative power of technologies

    Open Access•Mrinmoy Majumder, Arun Kumar Tripathi•ARTICLE•AI & Society•2023

  • Transforming hermeneutics

    Open Access•Arun Kumar Tripathi•ARTICLE•AI & Society•2023

  • Enhancing Cyberbullying Detection Using Ensemble Learning and Embeddings

    Open Access•Prashant Agrawal, Awanit Kumar et al.•ARTICLE•ShodhKosh: Journal of Visual and…•2024

    Cyberbullying represents a significant challenge in online environments, requiring advanced techniques for its accurate detection and mitigation. This paper introduces a novel approach that leverages ensemble learning and embedding methods to enhance cyberbullying detection. The proposed framework integrates various classifiers, including deep learning models, decision trees, random forests, and logistic regression, in combination with Universal …

  • Smart Contracts for Ai-Generated Art Rights

    Open Access•C Komalavalli C Komalavalli, C Komalavalli et al.•ARTICLE•ShodhKosh: Journal of Visual and…•2025

    The swift AI-generated art development has further fueled the discussion on both authorship and ownership, as well as on whether digital rights can be enforced. The existing intellectual property paradigms lack the ability to recognise works produced by autonomous systems fully or in part, which presents proxies in the maintenance of copyright, derivatives and cross-jurisdictional identification of AI-related rights. With more and more creative o…

  • Evaluating Artistic Creativity Through Neural Models

    Open Access•Quazi Taif Sadat, Arun Kumar Tripathi et al.•ARTICLE•ShodhKosh: Journal of Visual and…•2025

    The increasing overlap of artificial intelligence (AI) with artistic creativity is an exciting prospect of learning more about how machines may be used to copy, enhance, or even recreate human creative behaviors. In this paper, the neural frameworks of self-assessment of artistic creativity are discussed with reference to the generative models of Generative Adversarial Networks (GANs), diffusion models, and transformer-based frameworks. Although …

Computer Science (6 works) · Sociology (6 works) · Art (5 works) · Epistemology (5 works) · Performing arts (5 works) · Philosophy (4 works) · Artificial Intelligence (3 works) · Visual arts (3 works) · Aesthetics (2 works) · Business (2 works)

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