Khaled Rasheed

Affiliations:
  • University of Georgia, Athens, USA


According to our database1, Khaled Rasheed authored at least 93 papers between 1996 and 2024.

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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

Students Success Modeling: Most Important Factors.
CoRR, 2023

Decoding the Alphabet Soup of Degrees in the United States Postsecondary Education System Through Hybrid Method: Database and Text Mining.
CoRR, 2023

Deep Learning in Healthcare: An In-Depth Analysis.
CoRR, 2023

2022
Supervised and Weakly Supervised Deep Learning for Segmentation and Counting of Cotton Bolls Using Proximal Imagery.
Sensors, 2022

Comparing Machine Learning Techniques for Alfalfa Biomass Yield Prediction.
CoRR, 2022

EXPANSE: A Deep Continual / Progressive Learning System for Deep Transfer Learning.
CoRR, 2022

A Review of Deep Transfer Learning and Recent Advancements.
CoRR, 2022

An Integrated Approach for Video Captioning and Applications.
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

EXPANSE: A Continual and Progressive Learning System for Deep Transfer Learning.
Proceedings of the International Conference on Computational Science and Computational Intelligence, 2022

HPGER: Integrating Human Perception Into Group Emotion Recognition.
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

Sarcasm Detection: A Comparative Study.
CoRR, 2021

Automatic Generation of Descriptive Titles for Video Clips Using Deep Learning.
CoRR, 2021

The Use of Video Captioning for Fostering Physical Activity.
CoRR, 2021

A Concise Review of Transfer Learning.
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

EXPANSE, A Continual Deep Learning System; Research Proposal.
Proceedings of the International Conference on Computational Science and Computational Intelligence, 2021

Generative Adversarial Network Applications in Creating a Meta-Universe.
Proceedings of the International Conference on Computational Science and Computational Intelligence, 2021

2020
A Brief Review of Domain Adaptation.
CoRR, 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

Mining massive hierarchical data using a scalable probabilistic graphical model.
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
Classifying kinase conformations using a machine learning approach.
BMC Bioinform., 2017

Solar Radiation Prediction Improvement Using Weather Forecasts.
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
Leveraging Crowdsourcing for the Thematic Annotation of the Qur'an.
Proceedings of the 25th International Conference on World Wide Web, 2016

Semantic Hadith: Leveraging Linked Data Opportunities for Islamic Knowledge.
Proceedings of the Workshop on Linked Data on the Web, 2016

Harnessing Crowds and Experts for Semantic Annotation of the Qur'an.
Proceedings of the ISWC 2016 Posters & Demonstrations Track co-located with 15th International Semantic Web Conference (ISWC 2016), 2016

Style-Me - An Experimental AI Fashion Stylist.
Proceedings of the Trends in Applied Knowledge-Based Systems and Data Science, 2016

A Hierarchical Meta-Classifier for Human Activity Recognition.
Proceedings of the 15th IEEE International Conference on Machine Learning and Applications, 2016

A Multi-featured Approach for Wearable Sensor-Based Human Activity Recognition.
Proceedings of the 2016 IEEE International Conference on Healthcare Informatics, 2016

2015
GELATO and SAGE: An Integrated Framework for MS Annotation.
CoRR, 2015

Mining Massive Hierarchical Data Using a Scalable Probabilistic Graphical Model.
CoRR, 2015

Eye State Prediction from EEG Data Using Boosted Rotational Forests.
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
An overlapping variable linkage benchmark suite.
Proceedings of the Genetic and Evolutionary Computation Conference, 2013

2012
A surrogate-assisted and informed linkage aware GA.
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

A surrogate-assisted linkage inference approach in genetic algorithms.
Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011

GART: A genetic algorithm based real-time system scheduler.
Proceedings of the IEEE Congress on Evolutionary Computation, 2011

2010
A Relative Tendency Based Stock Market Prediction System.
Proceedings of the Ninth International Conference on Machine Learning and Applications, 2010

On the Scalability of Supervised Learners in Metagenomics.
Proceedings of the Ninth International Conference on Machine Learning and Applications, 2010

Selection of Classifier and Feature Selection Method for Microarray Data.
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

ASAGA: an adaptive surrogate-assisted genetic algorithm.
Proceedings of the Genetic and Evolutionary Computation Conference, 2008

Replication in Overlay Networks: A Multi-objective Optimization Approach.
Proceedings of the Collaborative Computing: Networking, 2008

2007
Stock market prediction with multiple classifiers.
Appl. Intell., 2007

Using genetic algorithms to reorganize superpeer structure in peer to peer networks.
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
Multiobjective GA optimization using reduced models.
IEEE Trans. Syst. Man Cybern. Part C, 2005

Comparison of methods for developing dynamic reduced models for design optimization.
Soft Comput., 2005

Guest Editorial.
Soft Comput., 2005

Improving GA search reliability using maximal hyper-rectangle analysis.
Proceedings of the Genetic and Evolutionary Computation Conference, 2005

MDGA: motif discovery using a genetic algorithm.
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
Constrained Multi-objective Optimization Using Steady State Genetic Algorithms.
Proceedings of the Genetic and Evolutionary Computation, 2003

Using singular value decomposition to improve a genetic algorithm's performance.
Proceedings of the IEEE Congress on Evolutionary Computation, 2003

2002
Automated Synthesis of Standard Cells using Genetic Algorithms.
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

An evolutionary approach for VLSI standard cell design.
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
Learning to be selective in genetic-algorithm-based design optimization.
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

Guided crossover: a new operator for genetic algorithm based optimization.
Proceedings of the 1999 Congress on Evolutionary Computation, 1999

1997
A genetic algorithm for continuous design space search.
Artif. Intell. Eng., 1997

Using Case Based Learning to Improve Genetic Algorithm Based Design Optimization.
Proceedings of the 7th International Conference on Genetic Algorithms, 1997

1996
A search space toolkit: SST.
Decis. Support Syst., 1996


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