Khaled Rasheed
Affiliations:- University of Georgia, Athens, USA
According to our database1,
Khaled Rasheed
authored at least 93 papers
between 1996 and 2024.
Collaborative distances:
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Bibliography
2024
Zero-shot image segmentation for monitoring thermal conditions of individual cage-free laying hens.
Comput. Electron. Agric., 2024
SWAG: A Novel Neural Network Architecture Leveraging Polynomial Activation Functions for Enhanced Deep Learning Efficiency.
IEEE Access, 2024
2023
Transformation vs Tradition: Artificial General Intelligence (AGI) for Arts and Humanities.
CoRR, 2023
Decoding the Alphabet Soup of Degrees in the United States Postsecondary Education System Through Hybrid Method: Database and Text Mining.
CoRR, 2023
2022
Supervised and Weakly Supervised Deep Learning for Segmentation and Counting of Cotton Bolls Using Proximal Imagery.
Sensors, 2022
CoRR, 2022
CoRR, 2022
An Intelligent Data-Centric Web Crawler Service for API Corpus Construction at Scale.
Proceedings of the IEEE International Conference on Web Services, 2022
Proceedings of the International Conference on Computational Science and Computational Intelligence, 2022
Proceedings of the International Conference on Computational Science and Computational Intelligence, 2022
CLPL: A Self-supervised Contrastive Learning Pseudo-Labeling Framework for Tabular Data.
Proceedings of the International Conference on Computational Science and Computational Intelligence, 2022
Comparison of Machine Learning Methods for Human Activity Recognition Using Pseudo Free-Living Data.
Proceedings of the International Conference on Computational Science and Computational Intelligence, 2022
2021
DRDrV3: Complete Lesion Detection in Fundus Images Using Mask R-CNN, Transfer Learning, and LSTM.
CoRR, 2021
CoRR, 2021
The application of Evolutionary and Nature Inspired Algorithms in Data Science and Data Analytics.
Proceedings of the International Conference on Computational Science and Computational Intelligence, 2021
Proceedings of the International Conference on Computational Science and Computational Intelligence, 2021
Proceedings of the International Conference on Computational Science and Computational Intelligence, 2021
2020
A Comparative Study of Machine Learning Models for Tabular Data Through Challenge of Monitoring Parkinson's Disease Progression Using Voice Recordings.
CoRR, 2020
Quantitative Structure-Mutation-Activity Relationship Tests (QSMART) model for protein kinase inhibitor response prediction.
BMC Bioinform., 2020
Automatic Image and Video Caption Generation With Deep Learning: A Concise Review and Algorithmic Overlap.
IEEE Access, 2020
2018
Accurate prediction of human miRNA targets via graph modeling of the miRNA-target duplex.
J. Bioinform. Comput. Biol., 2018
Inf. Sci., 2018
Feature Selection and Classification of Post-Graduation Income of College Students in the United States.
CoRR, 2018
Feature Selection of Post-graduation Income of College Students in the United States.
Proceedings of the Social, Cultural, and Behavioral Modeling, 2018
Towards Efficient and Real-Time Human Activity Recognition Using Wearable Sensors: A Shapelet-Based Pattern Matching Approach.
Proceedings of the 13th EAI International Conference on Body Area Networks, 2018
2017
BMC Bioinform., 2017
Proceedings of the 16th IEEE International Conference on Machine Learning and Applications, 2017
Statistical Analysis of Window Sizes and Sampling Rates in Human Activity Recognition.
Proceedings of the 10th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2017), 2017
2016
Proceedings of the 25th International Conference on World Wide Web, 2016
Proceedings of the Workshop on Linked Data on the Web, 2016
Proceedings of the ISWC 2016 Posters & Demonstrations Track co-located with 15th International Semantic Web Conference (ISWC 2016), 2016
Proceedings of the Trends in Applied Knowledge-Based Systems and Data Science, 2016
Proceedings of the 15th IEEE International Conference on Machine Learning and Applications, 2016
Proceedings of the 2016 IEEE International Conference on Healthcare Informatics, 2016
2015
CoRR, 2015
Proceedings of the 14th IEEE International Conference on Machine Learning and Applications, 2015
2014
Prediction and Prioritization of Rare Oncogenic Mutations in the Cancer Kinome Using Novel Features and Multiple Classifiers.
PLoS Comput. Biol., 2014
Automated Scoring of the Level of Integrative Complexity from Text Using Machine Learning.
Proceedings of the 13th International Conference on Machine Learning and Applications, 2014
2013
Proceedings of the Genetic and Evolutionary Computation Conference, 2013
2012
Proceedings of the Genetic and Evolutionary Computation Conference, 2012
2011
Evolving Efficient Sensor Arrangement and Obstacle Avoidance Control Logic for a Miniature Robot.
Proceedings of the Modern Approaches in Applied Intelligence, 2011
Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011
Proceedings of the IEEE Congress on Evolutionary Computation, 2011
2010
Proceedings of the Ninth International Conference on Machine Learning and Applications, 2010
Proceedings of the Ninth International Conference on Machine Learning and Applications, 2010
Proceedings of the Ninth International Conference on Machine Learning and Applications, 2010
A Machine Learning Approach for Sensitivity Inference in Genetic Algorithms.
Proceedings of the 2010 International Conference on Genetic and Evolutionary Methods, 2010
Application of Machine Learning Algorithms for Binning Metagenomic Data.
Proceedings of the International Conference on Bioinformatics & Computational Biology, 2010
2009
Using Genetic Algorithms for Simultaneous Noise Removal and Feature Selection in Classification and Regression problems.
Proceedings of the 2009 International Conference on Artificial Intelligence, 2009
Classification of Genomic Islands Using Decision-tree Based Algorithms.
Proceedings of the International Conference on Bioinformatics & Computational Biology, 2009
2008
Comparison of the Effects of Morphological and Ontological Information on Text Categorization.
Proceedings of the Seventh International Conference on Machine Learning and Applications, 2008
Simultaneously Removing Noise and Selecting Relevant Features for High Dimensional Noisy Data.
Proceedings of the Seventh International Conference on Machine Learning and Applications, 2008
Temporal Difference Learning for Nondeterministic Board Games.
Proceedings of the 2008 International Conference on Artificial Intelligence, 2008
Path Normalcy Analysis Using Nearest Neighbor Outlier Detection.
Proceedings of the 2008 International Conference on Artificial Intelligence, 2008
Enhancing the Quality of Noisy Training Data Using a Genetic Algorithm and Prototype Selection.
Proceedings of the 2008 International Conference on Artificial Intelligence, 2008
Proceedings of the Genetic and Evolutionary Computation Conference, 2008
Proceedings of the Collaborative Computing: Networking, 2008
2007
Appl. Intell., 2007
Comparing Machine Learning Techniques in Predicting Translation Start Sites in Prokaryotic Genomes.
Proceedings of the 2007 International Conference on Machine Learning; Models, 2007
Time Series Similarity Matching with a New Distance Measure.
Proceedings of the 2007 International Conference on Information & Knowledge Engineering, 2007
Improving Genetic Algorithm Performance Using Relative Fitness.
Proceedings of the 2007 International Conference on Genetic and Evolutionary Methods, 2007
2005
IEEE Trans. Syst. Man Cybern. Part C, 2005
Soft Comput., 2005
Proceedings of the Genetic and Evolutionary Computation Conference, 2005
Proceedings of the Genetic and Evolutionary Computation Conference, 2005
2004
Using Surrogate Modeling in the Prediction of Fibrinogen Adsorption onto Polymer Surfaces.
J. Chem. Inf. Model., 2004
Machine Learning Techniques for the Evaluation of External Skeletal Fixation Structures.
Proceedings of the International Conference on Mathematics and Engineering Techniques in Medicine and Biological Scienes, 2004
Using Machine Learning Techniques for Stylometry.
Proceedings of the International Conference on Artificial Intelligence, 2004
2003
Proceedings of the Genetic and Evolutionary Computation, 2003
Proceedings of the IEEE Congress on Evolutionary Computation, 2003
2002
Proceedings of the 2002 IEEE Computer Society Annual Symposium on VLSI (ISVLSI 2002), 2002
A Comparison of Genetic Algorithm Methods In Aerial Spray Deposition Management.
Proceedings of the GECCO 2002: Proceedings of the Genetic and Evolutionary Computation Conference, 2002
Comparison Of Methods For Using Reduced Models To Speed Up Design Optimization.
Proceedings of the GECCO 2002: Proceedings of the Genetic and Evolutionary Computation Conference, 2002
Proceedings of the 2002 Congress on Evolutionary Computation, 2002
2000
Informed operators: Speeding up genetic-algorithm-based design optimization using reduced models.
Proceedings of the Genetic and Evolutionary Computation Conference (GECCO '00), 2000
An incremental-approximate-clustering approach for developing dynamic reduced models for design optimization.
Proceedings of the 2000 Congress on Evolutionary Computation, 2000
1999
Artif. Intell. Eng. Des. Anal. Manuf., 1999
Effect of global parallelism on the behavior of a steady state genetic algorithm for design optimization.
Proceedings of the 1999 Congress on Evolutionary Computation, 1999
Proceedings of the 1999 Congress on Evolutionary Computation, 1999
1997
Using Case Based Learning to Improve Genetic Algorithm Based Design Optimization.
Proceedings of the 7th International Conference on Genetic Algorithms, 1997
1996