Abdul Moeed

About Abdul Moeed

Abdul Moeed, With an exceptional h-index of 2 and a recent h-index of 2 (since 2020), a distinguished researcher at Technische Universität München, specializes in the field of Machine learning, Computational Biology, Reinforcement learning, Natural language processing.

His recent articles reflect a diverse array of research interests and contributions to the field:

Identifying Effects of Disease on Single-Cells with Domain-Invariant Generative Modeling

Sfaira accelerates data and model reuse in single cell genomics

Emotion-robust EEG Classification for Motor Imagery

Evaluation metrics for headline generation using deep pre-trained embeddings

An evaluation of progressive neural networksfor transfer learning in natural language processing

Abdul Moeed Information

University

Position

___

Citations(all)

34

Citations(since 2020)

34

Cited By

3

hIndex(all)

2

hIndex(since 2020)

2

i10Index(all)

1

i10Index(since 2020)

1

Email

University Profile Page

Google Scholar

Abdul Moeed Skills & Research Interests

Machine learning

Computational Biology

Reinforcement learning

Natural language processing

Top articles of Abdul Moeed

Identifying Effects of Disease on Single-Cells with Domain-Invariant Generative Modeling

2023/10/27

Abdul Moeed
Abdul Moeed

H-Index: 1

Kai Ueltzhoeffer
Kai Ueltzhoeffer

H-Index: 10

Sfaira accelerates data and model reuse in single cell genomics

Genome Biology

2021/12

Abdul Moeed
Abdul Moeed

H-Index: 1

Emotion-robust EEG Classification for Motor Imagery

2020/5/23

Abdul Moeed
Abdul Moeed

H-Index: 1

Evaluation metrics for headline generation using deep pre-trained embeddings

2020/5

An evaluation of progressive neural networksfor transfer learning in natural language processing

2020/5

See List of Professors in Abdul Moeed University(Technische Universität München)