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researcher

Tamkanat E. Ali

4 papers here

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

author position
  • middle author4

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.LG4
ORCID 0009-0006-7744-4488
same name
  • Tamkanat E. Ali — 1 paper, h 3

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

most citedDWFL: Enhancing Federated Learning through Dynamic Weighted Averaging

1 citations · 1 across the 4 of their papers we have counts for

collaborators

4 papers

cs.LG2024

Converting Time Series Data to Numeric Representations Using Alphabetic Mapping and k-mer strategy

Sarwan Ali, Tamkanat E Ali, Imdad Ullah Khan +1

In the realm of data analysis and bioinformatics, representing time series data in a manner akin to biological sequences offers a novel approach to leverage sequence analysis techn…

cs.LG2024

Hilbert Curve Based Molecular Sequence Analysis

Sarwan Ali, Tamkanat E Ali, Imdad Ullah Khan +1

Accurate molecular sequence analysis is a key task in the field of bioinformatics. To apply molecular sequence classification algorithms, we first need to generate the appropriate…

cs.LG2024★ 1 cited

DWFL: Enhancing Federated Learning through Dynamic Weighted Averaging

Prakash Chourasia, Tamkanat E Ali, Sarwan Ali +1

Federated Learning (FL) is a distributed learning technique that maintains data privacy by providing a decentralized training method for machine learning models using distributed b…

cs.LG2024

A Universal Non-Parametric Approach For Improved Molecular Sequence Analysis

Sarwan Ali, Tamkanat E Ali, Prakash Chourasia +1

In the field of biological research, it is essential to comprehend the characteristics and functions of molecular sequences. The classification of molecular sequences has seen wide…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.