Hossam Faris
Artificial Intelligence · 2015–2019
A researcher in the Science corpus: 10 papers; trusts 62 researchers and is trusted by 23 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 237 citations into it; #8,429 of 35,345 by trust here, #4,080 by citations
- Computational Theory and Mathematics — 176 citations into it; #5,387 of 12,182 by trust here, #761 by citations
- Computer Vision and Pattern Recognition — 21 citations into it; #15,690 of 21,575 by trust here, #5,375 by citations
- Evaluation & Benchmarks — 17 citations into it
- Management Science and Operations Research — 17 citations into it; #9,942 of 11,946 by trust here, #11,360 by citations
- Control and Systems Engineering — 15 citations into it
- Information Systems — 15 citations into it
- Molecular Biology — 15 citations into it
Whom Hossam Faris trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Seyedali Mirjalili
- Seyed Mohammad Mirjalili
- Xin-She Yang
- Vladimir Naumovich Vapnik
- Dervis Karaboga
- J. Ross Quinlan
- Amir H. Gandomi
- R. Eberhart
- David Hilton Wolpert
- Vladimir Naumovich Vapni
Who trusts Hossam Faris overall
- Tansel Dökeroğlu
- Prachi Agrawal
- Mohammad-Hossein Nadimi-Shahraki
- Laith Mohammad Abualigah
- Ali Asghar Heidari
- Will Serrano
- Majdi M. Mafarja
- Hattan F. Abutarboush
- Ying-Biao Ling
- Shokooh Taghian
Papers from Hossam Faris's perspective
Ordered by how strongly the researchers Hossam Faris trusts endorse each paper. Same corpus, a different order for every researcher.
- Genetic Algorithms in Search Optimization and Machine Learning
- No free lunch theorems for optimization
- Differential Evolution – A Simple and Efficient Heuristic for global Optimization over Continuous Spaces
- A new optimizer using particle swarm theory
- A practical tutorial on the use of nonparametric statistical tests as a methodology for comparing evolutionary and swarm intelligence algorithms (Swarm and Evolutionary Computation)
- Adaptation in Natural and Artificial Systems: An Introductory Analysis with Applications to Biology, Control, and Artificial Intelligence
- The Nature of Statistical Learning Theory
- Comparison of Multiobjective Evolutionary Algorithms: Empirical Results (Evolutionary Computation)
- Swarm Intelligence (Lecture Notes in Computer Science)
- Fundamentals of Computational Swarm Intelligence
Their papers
- Salp Swarm Algorithm: A bio-inspired optimizer for engineering design problems (2017) — 4,481 citations
- Grey wolf optimizer: a review of recent variants and applications (2017) — 1,033 citations
- Evolutionary Population Dynamics and Grasshopper Optimization approaches for feature selection problems (2017) — 390 citations
- Grasshopper optimization algorithm for multi-objective optimization problems (2017) — 688 citations
- An efficient binary Salp Swarm Algorithm with crossover scheme for feature selection problems (2018) — 595 citations
- Binary dragonfly optimization for feature selection using time-varying transfer functions (2018) — 369 citations
- A Comparison between Regression, Artificial Neural Networks and Support Vector Machines for Predicting Stock Market Index (2015) — 134 citations
- Binary grasshopper optimisation algorithm approaches for feature selection problems (2019) — 378 citations
- Harris hawks optimization: Algorithm and applications (2019) — 5,546 citations
- Optimizing connection weights in neural networks using the whale optimization algorithm (2016) — 702 citations