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Khaled Rasheed
Khaled M. Rasheed
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- affiliation: University of Georgia, Athens, USA
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2020 – today
- 2024
- [j18]Saeid Safaei
, Zerotti Woods
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
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
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
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
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
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
Quantitative Structure-Mutation-Activity Relationship Tests (QSMART) model for protein kinase inhibitor response prediction. BMC Bioinform. 21(1): 520 (2020) - [i5]Mohammadreza Iman
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
Mining massive hierarchical data using a scalable probabilistic graphical model. Inf. Sci. 425: 62-75 (2018) - [j12]Mohammad Mohebbi
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
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
Leveraging Crowdsourcing for the Thematic Annotation of the Qur'an. WWW (Companion Volume) 2016: 13-14 - 2015
- [c40]Cameron R. Hamilton
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
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
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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last updated on 2024-12-10 20:47 CET by the dblp team
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