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ORCIDKhaled Rasheed
Khaled M. Rasheed
Person information
- affiliation: University of Georgia, Athens, USA
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2020 – today
- 2024
[j18]Saeid Safaei
, Zerotti Woods, Khaled Rasheed, Thiab R. Taha, Vahid Safaei, Juan B. Gutierrez, Hamid R. Arabnia:
SWAG: A Novel Neural Network Architecture Leveraging Polynomial Activation Functions for Enhanced Deep Learning Efficiency. IEEE Access 12: 73363-73375 (2024)- [j17]Mahtab Saeidifar, Guoming Li, Lilong Chai, Ramesh Bist, Khaled M. Rasheed, Jin Lu, Ahmad Banakar, Tianming Liu, Xiao Yang:
Zero-shot image segmentation for monitoring thermal conditions of individual cage-free laying hens. Comput. Electron. Agric. 226: 109436 (2024) - 2023
- [i20]Farzan Shenavarmasouleh, Farid Ghareh Mohammadi, Khaled M. Rasheed, Hamid R. Arabnia:
Deep Learning in Healthcare: An In-Depth Analysis. CoRR abs/2302.10904 (2023) - [i19]Sahar Voghoei, James M. Byars, John A. Miller, Khaled Rasheed, Hamid A. Arabnia:
Decoding the Alphabet Soup of Degrees in the United States Postsecondary Education System Through Hybrid Method: Database and Text Mining. CoRR abs/2309.13050 (2023) - [i18]Sahar Voghoei, James M. Byars, Scott Jackson King, Soheil Shapouri, Hamed Yaghoobian, Khaled M. Rasheed, Hamid R. Arabnia:
Students Success Modeling: Most Important Factors. CoRR abs/2309.13052 (2023) - [i17]Zhengliang Liu, Yiwei Li, Qian Cao, Junwen Chen, Tianze Yang, Zihao Wu, John Hale, John Gibbs, Khaled Rasheed, Ninghao Liu, Gengchen Mai, Tianming Liu:
Transformation vs Tradition: Artificial General Intelligence (AGI) for Arts and Humanities. CoRR abs/2310.19626 (2023) - 2022
- [j16]Shrinidhi Adke, Changying Li, Khaled M. Rasheed, Frederick W. Maier:
Supervised and Weakly Supervised Deep Learning for Segmentation and Counting of Cotton Bolls Using Proximal Imagery. Sensors 22(10): 3688 (2022) - [c59]Abolfazl Farahani, Navid Hashemi Tonekaboni, Khaled Rasheed, Hamid R. Arabnia:
CLPL: A Self-supervised Contrastive Learning Pseudo-Labeling Framework for Tabular Data. CSCI 2022: 7-12 - [c58]Mohammadreza Iman, John A. Miller, Khaled Rasheed, Robert Maribe Branch, Hamid R. Arabnia:
EXPANSE: A Continual and Progressive Learning System for Deep Transfer Learning. CSCI 2022: 58-65 - [c57]Enas E. Alkhoshi, Khaled M. Rasheed, Hamid R. Arabnia, Frederick W. Maier, Jennifer L. Gay:
Comparison of Machine Learning Methods for Human Activity Recognition Using Pseudo Free-Living Data. CSCI 2022: 140-146 - [c56]Abolfazl Farahani, Navid Hashemi Tonekaboni, Khaled Rasheed, Hamid R. Arabnia:
HPGER: Integrating Human Perception Into Group Emotion Recognition. CSCI 2022: 1442-1446 - [c55]Mehdi Assefi, Mehdi Bahrami, Sarthak Arora, Thiab R. Taha, Hamid R. Arabnia, Khaled M. Rasheed, Wei-Peng Chen:
An Intelligent Data-Centric Web Crawler Service for API Corpus Construction at Scale. ICWS 2022: 385-390 - [i16]Soheyla Amirian, Thiab R. Taha, Khaled Rasheed, Hamid R. Arabnia:
Generative Adversarial Network Applications in Creating a Meta-Universe. CoRR abs/2201.09152 (2022) - [i15]Soheyla Amirian, Thiab R. Taha, Khaled Rasheed, Hamid R. Arabnia:
An Integrated Approach for Video Captioning and Applications. CoRR abs/2201.09153 (2022) - [i14]Mohammadreza Iman, Khaled Rasheed, Hamid R. Arabnia:
A Review of Deep Transfer Learning and Recent Advancements. CoRR abs/2201.09679 (2022) - [i13]Farid Ghareh Mohammadi, Farzan Shenavarmasouleh, Khaled Rasheed, Thiab R. Taha, M. Hadi Amini, Hamid R. Arabnia:
The application of Evolutionary and Nature Inspired Algorithms in Data Science and Data Analytics. CoRR abs/2202.03859 (2022) - [i12]Mohammadreza Iman, John A. Miller, Khaled Rasheed, Robert Maribe Branch, Hamid R. Arabnia:
EXPANSE: A Deep Continual / Progressive Learning System for Deep Transfer Learning. CoRR abs/2205.10356 (2022) - [i11]Jonathan Vance, Khaled Rasheed, Ali Missaoui, Frederick W. Maier, Christian Adkins, Chris Whitmire:
Comparing Machine Learning Techniques for Alfalfa Biomass Yield Prediction. CoRR abs/2210.11226 (2022) - 2021
- [c54]Soheyla Amirian, Thiab R. Taha, Khaled Rasheed, Hamid R. Arabnia:
Generative Adversarial Network Applications in Creating a Meta-Universe. CSCI 2021: 175-179 - [c53]Mohammadreza Iman, Khaled Rasheed, Hamid R. Arabnia:
EXPANSE, A Continual Deep Learning System; Research Proposal. CSCI 2021: 190-192 - [c52]Farid Ghareh Mohammadi, Farzan Shenavarmasouleh, Khaled Rasheed, Thiab R. Taha, M. Hadi Amini, Hamid R. Arabnia:
The application of Evolutionary and Nature Inspired Algorithms in Data Science and Data Analytics. CSCI 2021: 255-261 - [i10]Abolfazl Farahani, Behrouz Pourshojae, Khaled Rasheed, Hamid R. Arabnia:
A Concise Review of Transfer Learning. CoRR abs/2104.02144 (2021) - [i9]Soheyla Amirian, Abolfazl Farahani, Hamid R. Arabnia, Khaled Rasheed, Thiab R. Taha:
The Use of Video Captioning for Fostering Physical Activity. CoRR abs/2104.03207 (2021) - [i8]Soheyla Amirian, Khaled Rasheed, Thiab R. Taha, Hamid R. Arabnia:
Automatic Generation of Descriptive Titles for Video Clips Using Deep Learning. CoRR abs/2104.03337 (2021) - [i7]Hamed Yaghoobian, Hamid R. Arabnia, Khaled Rasheed:
Sarcasm Detection: A Comparative Study. CoRR abs/2107.02276 (2021) - [i6]Farzan Shenavarmasouleh, Farid Ghareh Mohammadi, M. Hadi Amini, Thiab R. Taha, Khaled Rasheed, Hamid R. Arabnia:
DRDrV3: Complete Lesion Detection in Fundus Images Using Mask R-CNN, Transfer Learning, and LSTM. CoRR abs/2108.08095 (2021) - 2020
- [j15]Soheyla Amirian, Khaled Rasheed, Thiab R. Taha, Hamid R. Arabnia:
Automatic Image and Video Caption Generation With Deep Learning: A Concise Review and Algorithmic Overlap. IEEE Access 8: 218386-218400 (2020) - [j14]Liang-Chin Huang, Wayland Yeung, Ye Wang, Huimin Cheng, Aarya Venkat, Sheng Li, Ping Ma, Khaled Rasheed, Natarajan Kannan:
Quantitative Structure-Mutation-Activity Relationship Tests (QSMART) model for protein kinase inhibitor response prediction. BMC Bioinform. 21(1): 520 (2020) - [i5]Mohammadreza Iman, Amy Giuntini, Hamid Reza Arabnia, Khaled Rasheed:
A Comparative Study of Machine Learning Models for Tabular Data Through Challenge of Monitoring Parkinson's Disease Progression Using Voice Recordings. CoRR abs/2005.14257 (2020) - [i4]Abolfazl Farahani, Sahar Voghoei, Khaled Rasheed, Hamid R. Arabnia:
A Brief Review of Domain Adaptation. CoRR abs/2010.03978 (2020)
2010 – 2019
- 2018
- [j13]Khalifeh AlJadda, Mohammed Korayem, Camilo Ortiz, Trey Grainger, John A. Miller, Khaled Rasheed, Krys J. Kochut, Hao Peng, William S. York, René Ranzinger, Melody P. Porterfield:
Mining massive hierarchical data using a scalable probabilistic graphical model. Inf. Sci. 425: 62-75 (2018) - [j12]Mohammad Mohebbi, Liang Ding, Russell L. Malmberg, Cory Momany, Khaled Rasheed, Liming Cai:
Accurate prediction of human miRNA targets via graph modeling of the miRNA-target duplex. J. Bioinform. Comput. Biol. 16(4): 1850013:1-1850013:18 (2018) - [c51]Delaram Yazdansepas, Nitin Saroha, Lakshmish Ramaswamy, Khaled Rasheed:
Towards Efficient and Real-Time Human Activity Recognition Using Wearable Sensors: A Shapelet-Based Pattern Matching Approach. BODYNETS 2018: 115-130 - [c50]Ewan Wright, Qiang Hao, Khaled Rasheed, Yan Liu:
Feature Selection of Post-graduation Income of College Students in the United States. SBP-BRiMS 2018: 38-45 - [i3]Ewan Wright, Qiang Hao, Khaled Rasheed, Yan Liu:
Feature Selection and Classification of Post-Graduation Income of College Students in the United States. CoRR abs/1803.06615 (2018) - 2017
- [j11]Daniel Ian McSkimming, Khaled Rasheed, Natarajan Kannan:
Classifying kinase conformations using a machine learning approach. BMC Bioinform. 18(1): 86:1-86:15 (2017) - [c49]Anzah H. Niazi, Delaram Yazdansepas, Jennifer L. Gay, Frederick W. Maier, Lakshmish Ramaswamy, Khaled Rasheed, Matthew P. Buman:
Statistical Analysis of Window Sizes and Sampling Rates in Human Activity Recognition. HEALTHINF 2017: 319-325 - [c48]Sam Sanders, Chris Barrick, Frederick W. Maier, Khaled Rasheed:
Solar Radiation Prediction Improvement Using Weather Forecasts. ICMLA 2017: 499-504 - 2016
- [c47]Mohammad Mohebbi, Liang Ding, Russell L. Malmberg, Cory Momany, Khaled Rasheed, Liming Cai:
Accurate prediction of human miRNA targets via graph modeling of miRNA-target duplex. ICCABS 2016: 1 - [c46]Delaram Yazdansepas, Anzah H. Niazi, Jennifer L. Gay, Frederick W. Maier, Lakshmish Ramaswamy, Khaled Rasheed, Matthew P. Buman:
A Multi-featured Approach for Wearable Sensor-Based Human Activity Recognition. ICHI 2016: 423-431 - [c45]Anzah H. Niazi, Delaram Yazdansepas, Jennifer L. Gay, Frederick W. Maier, Lakshmish Ramaswamy, Khaled Rasheed, Matthew P. Buman:
A Hierarchical Meta-Classifier for Human Activity Recognition. ICMLA 2016: 81-86 - [c44]Haosha Wang, Joshua De Haan, Khaled Rasheed:
Style-Me - An Experimental AI Fashion Stylist. IEA/AIE 2016: 553-561 - [c43]Amna Basharat, Khaled Rasheed, Ismailcem Budak Arpinar:
Harnessing Crowds and Experts for Semantic Annotation of the Qur'an. ISWC (Posters & Demos) 2016 - [c42]Amna Basharat, Bushra Abro, Ismailcem Budak Arpinar, Khaled Rasheed:
Semantic Hadith: Leveraging Linked Data Opportunities for Islamic Knowledge. LDOW@WWW 2016 - [c41]Amna Basharat, Ismailcem Budak Arpinar, Khaled Rasheed:
Leveraging Crowdsourcing for the Thematic Annotation of the Qur'an. WWW (Companion Volume) 2016: 13-14 - 2015
- [c40]Cameron R. Hamilton, Shervin Shahryari, Khaled M. Rasheed:
Eye State Prediction from EEG Data Using Boosted Rotational Forests. ICMLA 2015: 429-432 - [i2]Khalifeh AlJadda, René Ranzinger, Melody P. Porterfield, Brent Weatherly, Mohammed Korayem, John A. Miller, Khaled Rasheed, Krys J. Kochut, William S. York:
GELATO and SAGE: An Integrated Framework for MS Annotation. CoRR abs/1512.08451 (2015) - [i1]Khalifeh AlJadda, Mohammed Korayem, Camilo Ortiz, Trey Grainger, John A. Miller, Khaled Rasheed, Krys J. Kochut, William S. York, René Ranzinger, Melody P. Porterfield:
Mining Massive Hierarchical Data Using a Scalable Probabilistic Graphical Model. CoRR abs/1512.08525 (2015) - 2014
- [j10]Man Chon U, Eric Talevich, Samiksha Katiyar, Khaled Rasheed, Natarajan Kannan:
Prediction and Prioritization of Rare Oncogenic Mutations in the Cancer Kinome Using Novel Features and Multiple Classifiers. PLoS Comput. Biol. 10(4) (2014) - [c39]Aardra Kannan Ambili, Khaled M. Rasheed:
Automated Scoring of the Level of Integrative Complexity from Text Using Machine Learning. ICMLA 2014: 300-305 - 2013
- [c38]Tomasz Oliwa, Khaled Rasheed:
An overlapping variable linkage benchmark suite. GECCO (Companion) 2013: 127-128 - 2012
- [c37]Tomasz Oliwa, Khaled Rasheed:
A surrogate-assisted and informed linkage aware GA. GECCO (Companion) 2012: 1467-1468 - 2011
- [c36]U. ManChon, Chiahsun Ho, Shelby H. Funk, Khaled Rasheed:
GART: A genetic algorithm based real-time system scheduler. IEEE Congress on Evolutionary Computation 2011: 886-893 - [c35]Tomasz Oliwa, Khaled Rasheed:
A surrogate-assisted linkage inference approach in genetic algorithms. GECCO 2011: 997-1004 - [c34]Muthukumaran Chandrasekaran, Karthik Nadig, Khaled Rasheed:
Evolving Efficient Sensor Arrangement and Obstacle Avoidance Control Logic for a Miniature Robot. IEA/AIE (2) 2011: 347-356 - 2010
- [c33]Vasim Mahamuda, Man Chon U, Khaled Rasheed:
Application of Machine Learning Algorithms for Binning Metagenomic Data. BIOCOMP 2010: 68-74 - [c32]Tomasz Oliwa, Khaled Rasheed:
A Machine Learning Approach for Sensitivity Inference in Genetic Algorithms. GEM 2010: 36-41 - [c31]Boseon Byeon, Khaled Rasheed:
Selection of Classifier and Feature Selection Method for Microarray Data. ICMLA 2010: 534-539 - [c30]Man Chon U, Vasim Mahamuda, Khaled Rasheed:
On the Scalability of Supervised Learners in Metagenomics. ICMLA 2010: 803-807 - [c29]Man Chon U, Khaled Rasheed:
A Relative Tendency Based Stock Market Prediction System. ICMLA 2010: 949-953
2000 – 2009
- 2009
- [c28]Dongsheng Che, Cory Hockenbury, Robert E. Marmelstein, Khaled Rasheed:
Classification of Genomic Islands Using Decision-tree Based Algorithms. BIOCOMP 2009: 252-258 - [c27]Boseon Byeon, Khaled Rasheed:
Using Genetic Algorithms for Simultaneous Noise Removal and Feature Selection in Classification and Regression problems. IC-AI 2009: 304-310 - 2008
- [c26]Osama Al-Haj Hassan, Lakshmish Ramaswamy, John A. Miller, Khaled Rasheed, E. Rodney Canfield:
Replication in Overlay Networks: A Multi-objective Optimization Approach. CollaborateCom 2008: 512-528 - [c25]Liang Shi, Khaled Rasheed:
ASAGA: an adaptive surrogate-assisted genetic algorithm. GECCO 2008: 1049-1056 - [c24]David Luper, Muthukumaran Chandrasekaran, Khaled Rasheed, Hamid R. Arabnia:
Path Normalcy Analysis Using Nearest Neighbor Outlier Detection. IC-AI 2008: 776-783 - [c23]Glenn F. Matthews, Khaled Rasheed:
Temporal Difference Learning for Nondeterministic Board Games. IC-AI 2008: 800-806 - [c22]Boseon Byeon, Khaled Rasheed, Prashant Doshi:
Enhancing the Quality of Noisy Training Data Using a Genetic Algorithm and Prototype Selection. IC-AI 2008: 821-827 - [c21]Boseon Byeon, Khaled Rasheed:
Simultaneously Removing Noise and Selecting Relevant Features for High Dimensional Noisy Data. ICMLA 2008: 147-152 - [c20]Cesar Koirala, Khaled Rasheed:
Comparison of the Effects of Morphological and Ontological Information on Text Categorization. ICMLA 2008: 783-786 - 2007
- [j9]Bo Qian, Khaled Rasheed:
Stock market prediction with multiple classifiers. Appl. Intell. 26(1): 25-33 (2007) - [j8]Jaymin Kessler, Khaled Rasheed, Ismailcem Budak Arpinar:
Using genetic algorithms to reorganize superpeer structure in peer to peer networks. Appl. Intell. 26(1): 35-52 (2007) - [c19]Chongshan Zhang, Khaled Rasheed:
Improving Genetic Algorithm Performance Using Relative Fitness. GEM 2007: 31-37 - [c18]Junfeng Qu, Hamid R. Arabnia, Yinglei Song, Khaled Rasheed, Jack Houston:
Time Series Similarity Matching with a New Distance Measure. IKE 2007: 183-189 - [c17]Sergey V. Fogelson, Khaled Rasheed, Xiangxue Guo, Jan Mrázek:
Comparing Machine Learning Techniques in Predicting Translation Start Sites in Prokaryotic Genomes. MLMTA 2007: 85-89 - 2005
- [j7]Yaochu Jin, Sushil J. Louis, Khaled Rasheed:
Guest Editorial. Soft Comput. 9(1): 1-2 (2005) - [j6]Khaled Rasheed, Xiao Ni, Swaroop Vattam:
Comparison of methods for developing dynamic reduced models for design optimization. Soft Comput. 9(1): 29-37 (2005) - [j5]Deepti Chafekar, Liang Shi, Khaled Rasheed, Jiang Xuan:
Multiobjective GA optimization using reduced models. IEEE Trans. Syst. Man Cybern. Part C 35(2): 261-265 (2005) - [c16]Dongsheng Che, Yinglei Song, Khaled Rasheed:
MDGA: motif discovery using a genetic algorithm. GECCO 2005: 447-452 - [c15]Chongshan Zhang, Khaled Rasheed:
Improving GA search reliability using maximal hyper-rectangle analysis. GECCO 2005: 1185-1192 - 2004
- [j4]Jack R. Smith, Doyle Knight, Joachim Kohn, Khaled Rasheed, Norbert Weber, Vladyslav V. Kholodovych, William J. Welsh:
Using Surrogate Modeling in the Prediction of Fibrinogen Adsorption onto Polymer Surfaces. J. Chem. Inf. Model. 44(3): 1088-1097 (2004) - [c14]Ramyaa Congzhou He, Khaled Rasheed:
Using Machine Learning Techniques for Stylometry. IC-AI 2004: 897-903 - [c13]Ning Suo, Khaled Rasheed, Walter D. Potter, Dennis N. Aron:
Machine Learning Techniques for the Evaluation of External Skeletal Fixation Structures. METMBS 2004: 378-384 - 2003
- [c12]J. G. Martin, Khaled Rasheed:
Using singular value decomposition to improve a genetic algorithm's performance. IEEE Congress on Evolutionary Computation 2003: 1612-1617 - [c11]Deepti Chafekar, Jiang Xuan, Khaled Rasheed:
Constrained Multi-objective Optimization Using Steady State Genetic Algorithms. GECCO 2003: 813-824 - 2002
- [c10]Khaled Rasheed, Xiao Ni, Swaroop Vattam:
Comparison of methods for developing dynamic reduced models for design optimization. IEEE Congress on Evolutionary Computation 2002: 390-395 - [c9]Anil Bahuman, Khaled Rasheed, Benjamin Bishop:
An evolutionary approach for VLSI standard cell design. IEEE Congress on Evolutionary Computation 2002: 431-436 - [c8]Khaled Rasheed, Swaroop Vattam, Xiao Ni:
Comparison Of Methods For Using Reduced Models To Speed Up Design Optimization. GECCO 2002: 1180-1187 - [c7]L. Wu, Walter D. Potter, Khaled Rasheed, H. Thistle, J. Ghent, D. Twardus, M. Teske:
A Comparison of Genetic Algorithm Methods In Aerial Spray Deposition Management. GECCO 2002: 1274 - [c6]Anil Bahuman, Benjamin Bishop, Khaled Rasheed:
Automated Synthesis of Standard Cells using Genetic Algorithms. ISVLSI 2002: 141-150 - 2000
- [c5]Khaled Rasheed:
An incremental-approximate-clustering approach for developing dynamic reduced models for design optimization. CEC 2000: 986-993 - [c4]Khaled Rasheed, Haym Hirsh:
Informed operators: Speeding up genetic-algorithm-based design optimization using reduced models. GECCO 2000: 628-635
1990 – 1999
- 1999
- [j3]Khaled Rasheed, Haym Hirsh:
Learning to be selective in genetic-algorithm-based design optimization. Artif. Intell. Eng. Des. Anal. Manuf. 13(3): 157-169 (1999) - [c3]Khaled Rasheed, Brian D. Davison:
Effect of global parallelism on the behavior of a steady state genetic algorithm for design optimization. CEC 1999: 534-541 - [c2]Khaled Rasheed:
Guided crossover: a new operator for genetic algorithm based optimization. CEC 1999: 1535-1541 - 1997
- [j2]Khaled Rasheed, Haym Hirsh, Andrew Gelsey:
A genetic algorithm for continuous design space search. Artif. Intell. Eng. 11(3): 295-305 (1997) - [c1]Khaled Rasheed, Haym Hirsh:
Using Case Based Learning to Improve Genetic Algorithm Based Design Optimization. ICGA 1997: 513-520 - 1996
- [j1]Andrew Gelsey, Don Smith, Mark Schwabacher, Khaled Rasheed, Keith Miyake:
A search space toolkit: SST. Decis. Support Syst. 18(3-4): 341-356 (1996)
Coauthor Index
Hamid R. Arabnia
aka: Hamid Reza Arabnia
aka: Hamid Reza Arabnia
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