M. Tanveer
Researcher / author (OpenAlex)
Facts
2 properties- Instance of
- human
- Affiliation
- Indian Institute of Technology Indoreas of 2026-09-23
where from?
- Source
- OpenAlex
- Edition
- 20260923 · as of 2026-09-23
- Licence
- CC0 1.0 Universal
- Bronze
- not in the catalog
- Transform
- 4ort-mint · openalex:20260923 · version not recorded
🔖 Identifiers · 2
- ORCID iD
- 0000-0002-5727-3697
- OpenAlex ID
- A5004222223, A5072336745, A5080980142, A5110959556, A5112628362, A5130863854, A5132961002, A5132969780, A5133387172, A5135100851, A5135114419, A5135287202, A5136996558, A5138112925as of 2026-09-23
where from?
- Source
- OpenAlex
- Edition
- 20260923 · as of 2026-09-23
- Licence
- CC0 1.0 Universal
- Bronze
- not in the catalog
- Transform
- 4ort-mint · openalex:20260923 · version not recorded
📜 Data licence
Source: OpenAlex (openalex.org), snapshot of 2026-09-23. CC0 1.0 Universal. CC0 1.0 Universal · OpenAlex
🔗 Connections
Author of 118
A coupled-GAN architecture to fuse MRI and PET image features for multi-stage classification of Alzheimer’s disease,
AEKOC+: Kernel Ridge Regression-Based Auto-Encoder for One-Class Classification Using Privileged Information,
A fuzzy universum least squares twin support vector machine (FULSTSVM),
Alzheimer's Disease Diagnosis Using Ensemble of Random Weighted Features and Fuzzy Least Square Twin Support Vector Machine,
Alzheimer’s Disease Diagnosis via Intuitionistic Fuzzy Random Vector Functional Link Network,
An Efficient Angle-based Universum Least Squares Twin Support Vector Machine for Classification,
An efficient implicit regularized Lagrangian twin support vector regression,
An efficient regularized K-nearest neighbor based weighted twin support vector regression
+110 more
← Authored by 118
A coupled-GAN architecture to fuse MRI and PET image features for multi-stage classification of Alzheimer’s disease,
AEKOC+: Kernel Ridge Regression-Based Auto-Encoder for One-Class Classification Using Privileged Information,
A fuzzy universum least squares twin support vector machine (FULSTSVM),
Alzheimer's Disease Diagnosis Using Ensemble of Random Weighted Features and Fuzzy Least Square Twin Support Vector Machine,
Alzheimer’s Disease Diagnosis via Intuitionistic Fuzzy Random Vector Functional Link Network,
An Efficient Angle-based Universum Least Squares Twin Support Vector Machine for Classification,
An efficient implicit regularized Lagrangian twin support vector regression,
An efficient regularized K-nearest neighbor based weighted twin support vector regression
+110 more
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