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researcher

Joy Bose

Microsoft

10 papers hereh-index 10350 citations89 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • sole author2
  • first author1
  • middle author4
  • last author3

Across the 10 of 10 papers where every author was matched, so the position is known.

fields
  • cs.HC2
  • cs.IR2
  • cs.LG2
  • cs.SE2
  • cs.CV1
  • cs.NE1
affiliations
  • Microsoft
  • Samsung
  • Indiavidual Learning
  • Ericsson
  • University of Manchester
Homepage
same name
  • Joy Bose — 6 papers, h 3
  • Joy Bose — 1 paper

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20062025
most citedAn associative memory for the on-line recognition and prediction of temporal sequences

13 citations · 16 across the 6 of their papers we have counts for

collaborators
Showing cs.LGShow all

3 papers · 1 filter

cs.LG2026

Rank-Order N-of-M Codes for Sparse Distributed Memory: Disentangling Representation and Learning Effects in Noise Robustness Against Contemporary Neuromorphic Architectures

Joy Bose

Large language models remain limited as continual learning systems, motivating renewed interest in Sparse Distributed Memory (SDM) as an explicit online episodic memory. CALM (Nech…

cs.LG2025★ 1 cited

A Hybrid Framework for Real-Time Data Drift and Anomaly Identification Using Hierarchical Temporal Memory and Statistical Tests

Subhadip Bandyopadhyay, Joy Bose, Sujoy Roy Chowdhury

Data Drift is the phenomenon where the generating model behind the data changes over time. Due to data drift, any model built on the past training data becomes less relevant and in…

cs.LG2021

Modeling Effect of Lockdowns and Other Effects on India Covid-19 Infections Using SEIR Model and Machine Learning

Sathiyanarayanan Sampath, Joy Bose

The SEIR model is a widely used epidemiological model used to predict the rise in infections. This model has been widely used in different countries to predict the number of Covid-…

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