• 90 Citations
  • 6 h-Index
20072019
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Fingerprint Dive into the research topics where Partha Mukherjee is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

  • 29 Similar Profiles
Sensor nodes Engineering & Materials Science
Sensor networks Engineering & Materials Science
Classifiers Engineering & Materials Science
Search engines Engineering & Materials Science
Statistics Engineering & Materials Science
Clustering algorithms Engineering & Materials Science
Base stations Engineering & Materials Science
Intelligent agents Engineering & Materials Science

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Research Output 2007 2019

  • 90 Citations
  • 6 h-Index
  • 8 Conference contribution
  • 6 Article

Clustering analysis of brain protein expression levels in trisomic and control mice

Clayman, C. L., Clayman, S. N. & Mukherjee, P., Apr 6 2019, Proceedings of 3rd International Conference on Information System and Data Mining, ICISDM 2019. Association for Computing Machinery, p. 114-118 5 p. (ACM International Conference Proceeding Series).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Brain
Proteins
Principal component analysis
Statistics

Using Lexical Chains to Identify Text Difficulty: A Corpus Statistics and Classification Study

Mukherjee, P., Leroy, G. & Kauchak, D., Sep 2019, In : IEEE Journal of Biomedical and Health Informatics. 23, 5, p. 2164-2173 10 p., 8565884.

Research output: Contribution to journalArticle

Classifiers
Statistics
Chain length
Decision Trees
Semantics

Analyzing Attitude of Second Screen Social Media Messages

Mukherjee, P. & Jansen, B. J., Nov 1 2018, In : IEEE Intelligent Systems. 33, 6, p. 27-35 9 p., 8574913.

Research output: Contribution to journalArticle

7 Citations (Scopus)

Conversing and searching: the causal relationship between social media and web search

Mukherjee, P. & Jansen, B. J., Jan 1 2017, In : Internet Research. 27, 5, p. 1209-1226 18 p.

Research output: Contribution to journalArticle

social media
Marketing
twitter
Search engines
causality
6 Citations (Scopus)

NegAIT: A new parser for medical text simplification using morphological, sentential and double negation

Mukherjee, P., Leroy, G., Kauchak, D., Rajanarayanan, S., Romero Diaz, D. Y., Yuan, N. P., Pritchard, T. G. & Colina, S., May 1 2017, In : Journal of Biomedical Informatics. 69, p. 55-62 8 p.

Research output: Contribution to journalArticle

Open Access
Classifiers
PubMed
Blogging
Clinical Trials
Decision Trees