Aditya Adhikary

ORCID: 0000-0001-9345-0323
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About
Contact & Profiles
Research Areas
  • Parkinson's Disease Mechanisms and Treatments
  • Misinformation and Its Impacts
  • Mosquito-borne diseases and control
  • Music and Audio Processing
  • Complex Network Analysis Techniques
  • Video Analysis and Summarization
  • Diverse Scientific Research Studies
  • Neurological disorders and treatments
  • Spam and Phishing Detection
  • Voice and Speech Disorders
  • Advanced Image and Video Retrieval Techniques
  • Viral Infections and Vectors

Indraprastha Institute of Information Technology Delhi
2019-2021

Indian Institute of Technology Delhi
2019-2020

North Bengal Medical College and Hospital
2019

Abstract Consumer wearables and sensors are a rich source of data about patients’ daily disease symptom burden, particularly in the case movement disorders like Parkinson’s (PD). However, interpreting these complex into so-called digital biomarkers requires complicated analytical approaches, validating sufficient unbiased evaluation methods. Here we describe use crowdsourcing to specifically evaluate benchmark features derived from accelerometer gyroscope two different datasets predict...

10.1038/s41746-021-00414-7 article EN cc-by npj Digital Medicine 2021-03-19

Retweets are essential to boost the popularity of a tweet, and large number fake retweeters can contribute heavily this aspect. We define retweeter as Twitter account that retweets spammy tweets, an abnormally amount tweets in short period, or misuses trending hashtag promote events irrelevant topic discussion. introduce up-to-date, temporally diverse, trend-oriented labeled dataset address problem detection. develop novel classifier, called HawkesEye which makes predictions based on...

10.1109/tifs.2020.2970601 article EN IEEE Transactions on Information Forensics and Security 2020-01-01

Videos are one of the most engaging and interesting mediums effective information delivery constitute majority content generated online today. As human attention span shrinks, it is imperative to shorten videos while maintaining its information. The premier challenge that summaries more intuitive a difficult for machines generalize. We present simple approach video summarization using Kernel Temporal Segmentation (KTS) shot segmentation global based modified memory network module with LSTM...

10.1109/bigmm.2019.00-20 article EN 2019-09-01
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