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Amarda Shehu
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Publications
- 2023
- [j43]Ahmed Bin Zaman, Toki Tahmid Inan, Kenneth A. De Jong, Amarda Shehu:
Adaptive Stochastic Optimization to Improve Protein Conformation Sampling. IEEE ACM Trans. Comput. Biol. Bioinform. 20(5): 2759-2771 (2023) - 2021
- [d2]Ahmed Bin Zaman, Toki Tahmid Inan, Kenneth A. De Jong, Amarda Shehu:
Adaptive Conformation Sampling Dataset Zaman_TCBB21. IEEE DataPort, 2021 - 2019
- [c69]Ahmed Bin Zaman, Kenneth A. De Jong, Amarda Shehu:
Using subpopulation EAs to map molecular structure landscapes. GECCO 2019: 960-967 - [p1]Uday Kamath, Carlotta Domeniconi, Amarda Shehu, Kenneth A. De Jong:
EML: A Scalable, Transparent Meta-Learning Paradigm for Big Data Applications. Innovations in Big Data Mining and Embedded Knowledge 2019: 35-59 - 2018
- [j27]Emmanuel Sapin, Kenneth A. De Jong, Amarda Shehu:
From Optimization to Mapping: An Evolutionary Algorithm for Protein Energy Landscapes. IEEE ACM Trans. Comput. Biol. Bioinform. 15(3): 719-731 (2018) - 2017
- [c57]Emmanuel Sapin, Kenneth A. De Jong, Amarda Shehu:
Evolving Conformation Paths to Model Protein Structural Transitions. BCB 2017: 673-678 - [c54]Emmanuel Sapin, Kenneth A. De Jong, Amarda Shehu:
Modeling protein structural transitions as a multiobjective optimization problem. CIBCB 2017: 1-8 - [c53]Emmanuel Sapin, Kenneth A. De Jong, Amarda Shehu:
Evolutionary search for paths on protein energy landscapes. GECCO (Companion) 2017: 77-78 - [c52]Emmanuel Sapin, Kenneth A. De Jong, Amarda Shehu:
An evolutionary algorithm to model structural excursions of a protein. GECCO (Companion) 2017: 1669-1673 - 2016
- [c49]Emmanuel Sapin, Kenneth A. De Jong, Amarda Shehu:
A Novel EA-based Memetic Approach for Efficiently Mapping Complex Fitness Landscapes. GECCO 2016: 85-92 - [c47]Emmanuel Sapin, Kenneth A. De Jong, Amarda Shehu:
Path-based Guidance of an Evolutionary Algorithm in Mapping a Fitness Landscape and its Connectivity. GECCO (Companion) 2016: 1293-1298 - 2015
- [c45]Emmanuel Sapin, Kenneth A. De Jong, Amarda Shehu:
Evolutionary search strategies for efficient sample-based representations of multiple-basin protein energy landscapes. BIBM 2015: 13-20 - [c43]Rudy Clausen, Emmanuel Sapin, Kenneth A. De Jong, Amarda Shehu:
Evolution Strategies for Exploring Protein Energy Landscapes. GECCO 2015: 217-224 - [c42]Amarda Shehu, Kenneth A. De Jong:
Evolutionary Algorithms for Protein Structure Modeling. GECCO (Companion) 2015: 533-545 - [c41]Emmanuel Sapin, Kenneth A. De Jong, Amarda Shehu:
Mapping Multiple Minima in Protein Energy Landscapes with Evolutionary Algorithms. GECCO (Companion) 2015: 923-927 - 2014
- [c35]Amarda Shehu, Kenneth A. De Jong:
Evolutionary search algorithms for protein modeling: from de novo structure prediction to comprehensive maps of functionally-relevant structures of protein chains and assemblies. GECCO (Companion) 2014: 839-856 - 2013
- [c28]Brian S. Olson, Kenneth A. De Jong, Amarda Shehu:
Off-lattice protein structure prediction with homologous crossover. GECCO 2013: 287-294 - 2012
- [j6]Uday Kamath, Jack Compton, Rezarta Islamaj Dogan, Kenneth A. De Jong, Amarda Shehu:
An Evolutionary Algorithm Approach for Feature Generation from Sequence Data and Its Application to DNA Splice Site Prediction. IEEE ACM Trans. Comput. Biol. Bioinform. 9(5): 1387-1398 (2012) - [c13]Uday Kamath, Johan Kaers, Amarda Shehu, Kenneth A. De Jong:
A Spatial EA Framework for Parallelizing Machine Learning Methods. PPSN (1) 2012: 206-215 - 2011
- [j3]Uday Kamath, Amarda Shehu, Kenneth A. De Jong:
A Two-Stage Evolutionary Approach for Effective Classification of hypersensitive DNA Sequences. J. Bioinform. Comput. Biol. 9(3): 399-413 (2011) - [c7]Uday Kamath, Kenneth A. De Jong, Amarda Shehu:
An evolutionary-based approach for feature generation: Eukaryotic promoter recognition. IEEE Congress on Evolutionary Computation 2011: 277-284 - 2010
- [c6]Uday Kamath, Amarda Shehu, Kenneth A. De Jong:
Feature and Kernel Evolution for Recognition of Hypersensitive Sites in DNA Sequences. BIONETICS 2010: 213-228 - [c4]Uday Kamath, Amarda Shehu, Kenneth A. De Jong:
Using evolutionary computation to improve SVM classification. IEEE Congress on Evolutionary Computation 2010: 1-8 - [c3]Uday Kamath, Kenneth A. De Jong, Amarda Shehu:
Selecting predictive features for recognition of hypersensitive sites of regulatory genomic sequences with an evolutionary algorithm. GECCO 2010: 179-186
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