Indranil Bose
Artificial Intelligence · 2001–2023
A researcher in the Science corpus: 5 papers; trusts 8 researchers and is trusted by 3 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 14 citations into it; #28,248 of 35,345 by trust here, #11,327 by citations
- Accounting — 8 citations into it; #6,943 of 8,970 by trust here, #5,847 by citations
Whom Indranil Bose trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Vladimir Naumovich Vapni
- Kyung-shik Shin
- Jesse Davis
- P. Ravi Kumar
- Byeong Seok Ahn
- Kushal Dave
- B. Liu
- Donald F. Specht
Who trusts Indranil Bose overall
Papers from Indranil Bose's perspective
Ordered by how strongly the researchers Indranil Bose trusts endorse each paper. Same corpus, a different order for every researcher.
- The Nature of Statistical Learning Theory
- Mining the peanut gallery: opinion extraction and semantic classification of product reviews (The Web Conference)
- Self-Selection and Information Role of Online Product Reviews
- Genetic Programming: On the Programming of Computers by Means of Natural Selection
- A genetic algorithm application in bankruptcy prediction modeling (Expert systems with applications)
- Opinion observer: analyzing and comparing opinions on the Web (The Web Conference)
- Probabilistic neural networks
- The integrated methodology of rough set theory and artificial neural network for business failure prediction
- The predictive power of online chatter (Knowledge Discovery and Data Mining)
- Promotional Chat on the Internet
Their papers
- Manipulation of online reviews: An analysis of ratings, readability, and sentiments (2012) — 534 citations
- Detection of financial statement fraud and feature selection using data mining techniques (2011) — 545 citations
- Opinion Paper: "So what if ChatGPT wrote it?" Multidisciplinary perspectives on opportunities, challenges and implications of generative conversational AI for research, practice and policy (2023) — 2,599 citations
- Prediction of financial distress: An empirical study of listed Chinese companies using data mining (2015) — 455 citations
- Business data mining - a machine learning perspective (2001) — 432 citations