Monther Alhamdoosh
Molecular Biology · 2014–2016
A researcher in the Science corpus: 3 papers; trusts 11 researchers and is trusted by 6 researchers here, as inferred from the citation graph.
Subfields
- Molecular Biology — 13 citations into it
- Environmental Engineering — 10 citations into it
- Artificial Intelligence — 9 citations into it; #14,508 of 35,345 by trust here, #26,682 by citations
- Civil and Structural Engineering — 9 citations into it
- Soil Science — 5 citations into it
Whom Monther Alhamdoosh trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Leo Breiman
- Robert E. Schapire
- Niko Speybroeck
- Kurt Hornik
- Gavin Brown
- Vladimir Naumovich Vapni
- Gordon K. Smyth
- Maxwell B. Stinchcombe
- Jeremy L. Wyatt
- Wim Cornelis
Who trusts Monther Alhamdoosh overall
- Le Zhang
- Ponnuthurai Nagaratnam Suganthan
- Simone Scardapane
- Stefan Lee
- Dianhui Wang
- Senthil Purushwalkam
- Zeyuan Allen-Zhu
- Ye Ren
- Massimo Panella
Papers from Monther Alhamdoosh's perspective
Ordered by how strongly the researchers Monther Alhamdoosh trusts endorse each paper. Same corpus, a different order for every researcher.
- The Nature of Statistical Learning Theory
- Bagging Predictors
- The Strength of Weak Learnability
- Neural Networks and the Bias/Variance Dilemma
- Pedotransfer functions: bridging the gap between available basic soil data and missing soil hydraulic characteristics
- ROSETTA: a computer program for estimating soil hydraulic parameters with hierarchical pedotransfer functions
- Evaluation of Pedotransfer Functions for Predicting the Soil Moisture Retention Curve
- Neural Network Ensembles, Cross Validation, and Active Learning
- Development of Pedotransfer Functions for Estimation of Soil Hydraulic Parameters using Support Vector Machines
- Using Support Vector Machines to Develop Pedotransfer Functions for Water Retention of Soils in Poland
Their papers
- Fast decorrelated neural network ensembles with random weights (2014) — 194 citations
- RNA-seq analysis is easy as 1-2-3 with limma, Glimma and edgeR (2016) — 738 citations
- Enhanced pedotransfer functions with support vector machines to predict water retention of calcareous soil (2016) — 56 citations