Assefa M. Melesse

Global and Planetary Change · 2011–2020

A researcher in the Science corpus: 6 papers; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Global and Planetary Change — 32 citations into it
• Water Science and Technology — 23 citations into it
• Oceanography — 8 citations into it

Whom Assefa M. Melesse trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Vittorio Ernesto Brando
2. Z. Lee

Papers from Assefa M. Melesse's perspective

Ordered by how strongly the researchers Assefa M. Melesse trusts endorse each paper. Same corpus, a different order for every researcher.

1. Estimating Attributes: Analysis and Extensions of RELIEF
2. Digital terrain modelling: A review of hydrological, geomorphological, and biological applications
3. Landslide susceptibility mapping using GIS-based statistical models and Remote sensing data in tropical environment (Scientific Reports)
4. Top 10 algorithms in data mining
5. Feature Selection for Classification
6. Multiple Classifier Systems
7. A Review and Empirical Evaluation of Feature Weighting Methods for a Class of Lazy Learning Algorithms
8. Pattern Classification
9. Global projections of river flood risk in a warmer world
10. Relief-Based Feature Selection: Introduction and Review (Journal of Biomedical Informatics)

Their papers

• Flood Detection and Susceptibility Mapping Using Sentinel-1 Remote Sensing Data and a Machine Learning Approach: Hybrid Intelligence of Bagging Ensemble Based on K-Nearest Neighbor Classifier (2020) — 334 citations
• Flood susceptibility mapping at Ningdu catchment, China using bivariate and data mining techniques (2019) — 48 citations
• A Comprehensive Review on Water Quality Parameters Estimation Using Remote Sensing Techniques (2016) — 949 citations
• Comparing flow regime, channel hydraulics, and biological communities to infer flow–ecology relationships in the Mara River of Kenya and Tanzania (2014) — 86 citations
• Sensors Best Paper Award 2014 (2014) — 3 citations
• Suspended sediment load prediction of river systems: An artificial neural network approach (2011) — 307 citations