Khaled Rasheed

Publication Activity (10 Years)

Years Active: 1996-2024
Publications (10 Years): 39

Top Topics

Transfer Learning

Weather Forecasts

Activity Recognition

Top Venues

Publications

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 (2024)
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 (2023)
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 (2023)
Jonathan Vance, Khaled Rasheed, Ali Missaoui, Frederick W. Maier, Christian Adkins, Chris Whitmire
Comparing Machine Learning Techniques for Alfalfa Biomass Yield Prediction. CoRR (2022)
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 (2022)
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 (2022)
Soheyla Amirian, Thiab R. Taha, Khaled Rasheed, Hamid R. Arabnia
An Integrated Approach for Video Captioning and Applications. CoRR (2022)
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)
Abolfazl Farahani, Navid Hashemi Tonekaboni, Khaled Rasheed, Hamid R. Arabnia
HPGER: Integrating Human Perception Into Group Emotion Recognition. CSCI (2022)
Mohammadreza Iman, Khaled Rasheed, Hamid R. Arabnia
A Review of Deep Transfer Learning and Recent Advancements. CoRR (2022)
Soheyla Amirian, Thiab R. Taha, Khaled Rasheed, Hamid R. Arabnia
Generative Adversarial Network Applications in Creating a Meta-Universe. CoRR (2022)
Abolfazl Farahani, Navid Hashemi Tonekaboni, Khaled Rasheed, Hamid R. Arabnia
CLPL: A Self-supervised Contrastive Learning Pseudo-Labeling Framework for Tabular Data. CSCI (2022)
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)
Abolfazl Farahani, Behrouz Pourshojae, Khaled Rasheed, Hamid R. Arabnia
A Concise Review of Transfer Learning. CoRR (2021)
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 (2021)
Hamed Yaghoobian, Hamid R. Arabnia, Khaled Rasheed
Sarcasm Detection: A Comparative Study. CoRR (2021)
Soheyla Amirian, Thiab R. Taha, Khaled Rasheed, Hamid R. Arabnia
Generative Adversarial Network Applications in Creating a Meta-Universe. CSCI (2021)
Soheyla Amirian, Khaled Rasheed, Thiab R. Taha, Hamid R. Arabnia
Automatic Generation of Descriptive Titles for Video Clips Using Deep Learning. CoRR (2021)
Mohammadreza Iman, Khaled Rasheed, Hamid R. Arabnia
EXPANSE, A Continual Deep Learning System; Research Proposal. CSCI (2021)
Soheyla Amirian, Abolfazl Farahani, Hamid R. Arabnia, Khaled Rasheed, Thiab R. Taha
The Use of Video Captioning for Fostering Physical Activity. CoRR (2021)
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 (2020)
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) (2020)
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 (2020)
Abolfazl Farahani, Sahar Voghoei, Khaled Rasheed, Hamid R. Arabnia
A Brief Review of Domain Adaptation. CoRR (2020)
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)
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 (2018)
Ewan Wright, Qiang Hao, Khaled Rasheed, Yan Liu
Feature Selection and Classification of Post-Graduation Income of College Students in the United States. CoRR (2018)
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) (2018)
Ewan Wright, Qiang Hao, Khaled Rasheed, Yan Liu
Feature Selection of Post-graduation Income of College Students in the United States. SBP-BRiMS (2018)
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)
Daniel Ian McSkimming, Khaled Rasheed, Natarajan Kannan
Classifying kinase conformations using a machine learning approach. BMC Bioinform. 18 (1) (2017)
Sam Sanders, Chris Barrick, Frederick W. Maier, Khaled Rasheed
Solar Radiation Prediction Improvement Using Weather Forecasts. ICMLA (2017)
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)
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)
Amna Basharat, Bushra Abro, Ismailcem Budak Arpinar, Khaled Rasheed
Semantic Hadith: Leveraging Linked Data Opportunities for Islamic Knowledge. LDOW@WWW (2016)
Haosha Wang, Joshua De Haan, Khaled Rasheed
Style-Me - An Experimental AI Fashion Stylist. IEA/AIE (2016)
Amna Basharat, Ismailcem Budak Arpinar, Khaled Rasheed
Leveraging Crowdsourcing for the Thematic Annotation of the Qur'an. WWW (Companion Volume) (2016)
Amna Basharat, Khaled Rasheed, Ismailcem Budak Arpinar
Harnessing Crowds and Experts for Semantic Annotation of the Qur'an. ISWC (Posters & Demos) (2016)
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)
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 (2015)
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 (2015)
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)
Tomasz Oliwa, Khaled Rasheed
An overlapping variable linkage benchmark suite. GECCO (Companion) (2013)
Tomasz Oliwa, Khaled Rasheed
A surrogate-assisted and informed linkage aware GA. GECCO (Companion) (2012)
Tomasz Oliwa, Khaled Rasheed
A surrogate-assisted linkage inference approach in genetic algorithms. GECCO (2011)
U. ManChon, Chiahsun Ho, Shelby H. Funk, Khaled Rasheed
GART: A genetic algorithm based real-time system scheduler. IEEE Congress on Evolutionary Computation (2011)
Muthukumaran Chandrasekaran, Karthik Nadig, Khaled Rasheed
Evolving Efficient Sensor Arrangement and Obstacle Avoidance Control Logic for a Miniature Robot. IEA/AIE (2) (2011)
Boseon Byeon, Khaled Rasheed
Selection of Classifier and Feature Selection Method for Microarray Data. ICMLA (2010)
Man Chon U, Khaled Rasheed
A Relative Tendency Based Stock Market Prediction System. ICMLA (2010)
Man Chon U, Vasim Mahamuda, Khaled Rasheed
On the Scalability of Supervised Learners in Metagenomics. ICMLA (2010)
Vasim Mahamuda, Man Chon U, Khaled Rasheed
Application of Machine Learning Algorithms for Binning Metagenomic Data. BIOCOMP (2010)
Tomasz Oliwa, Khaled Rasheed
A Machine Learning Approach for Sensitivity Inference in Genetic Algorithms. GEM (2010)
Dongsheng Che, Cory Hockenbury, Robert E. Marmelstein, Khaled Rasheed
Classification of Genomic Islands Using Decision-tree Based Algorithms. BIOCOMP (2009)
Boseon Byeon, Khaled Rasheed
Using Genetic Algorithms for Simultaneous Noise Removal and Feature Selection in Classification and Regression problems. IC-AI (2009)
Liang Shi, Khaled Rasheed
ASAGA: an adaptive surrogate-assisted genetic algorithm. GECCO (2008)
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)
David Luper, Muthukumaran Chandrasekaran, Khaled Rasheed, Hamid R. Arabnia
Path Normalcy Analysis Using Nearest Neighbor Outlier Detection. IC-AI (2008)
Boseon Byeon, Khaled Rasheed, Prashant Doshi
Enhancing the Quality of Noisy Training Data Using a Genetic Algorithm and Prototype Selection. IC-AI (2008)
Glenn F. Matthews, Khaled Rasheed
Temporal Difference Learning for Nondeterministic Board Games. IC-AI (2008)
Boseon Byeon, Khaled Rasheed
Simultaneously Removing Noise and Selecting Relevant Features for High Dimensional Noisy Data. ICMLA (2008)
Cesar Koirala, Khaled Rasheed
Comparison of the Effects of Morphological and Ontological Information on Text Categorization. ICMLA (2008)
Bo Qian, Khaled Rasheed
Stock market prediction with multiple classifiers. Appl. Intell. 26 (1) (2007)
Sergey V. Fogelson, Khaled Rasheed, Xiangxue Guo, Jan Mrázek
Comparing Machine Learning Techniques in Predicting Translation Start Sites in Prokaryotic Genomes. MLMTA (2007)
Jaymin Kessler, Khaled Rasheed, Ismailcem Budak Arpinar
Using genetic algorithms to reorganize superpeer structure in peer to peer networks. Appl. Intell. 26 (1) (2007)
Junfeng Qu, Hamid R. Arabnia, Yinglei Song, Khaled Rasheed, Jack Houston
Time Series Similarity Matching with a New Distance Measure. IKE (2007)
Chongshan Zhang, Khaled Rasheed
Improving Genetic Algorithm Performance Using Relative Fitness. GEM (2007)
Deepti Chafekar, Liang Shi, Khaled Rasheed, Jiang Xuan
Multiobjective GA optimization using reduced models. IEEE Trans. Syst. Man Cybern. Part C 35 (2) (2005)
Khaled Rasheed, Xiao Ni, Swaroop Vattam
Comparison of methods for developing dynamic reduced models for design optimization. Soft Comput. 9 (1) (2005)
Yaochu Jin, Sushil J. Louis, Khaled Rasheed
Guest Editorial. Soft Comput. 9 (1) (2005)
Chongshan Zhang, Khaled Rasheed
Improving GA search reliability using maximal hyper-rectangle analysis. GECCO (2005)
Dongsheng Che, Yinglei Song, Khaled Rasheed
MDGA: motif discovery using a genetic algorithm. GECCO (2005)
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) (2004)
Ramyaa Congzhou He, Khaled Rasheed
Using Machine Learning Techniques for Stylometry. IC-AI (2004)
Ning Suo, Khaled Rasheed, Walter D. Potter, Dennis N. Aron
Machine Learning Techniques for the Evaluation of External Skeletal Fixation Structures. METMBS (2004)
J. G. Martin, Khaled Rasheed
Using singular value decomposition to improve a genetic algorithm's performance. IEEE Congress on Evolutionary Computation (2003)
Deepti Chafekar, Jiang Xuan, Khaled Rasheed
Constrained Multi-objective Optimization Using Steady State Genetic Algorithms. GECCO (2003)
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)
Khaled Rasheed, Swaroop Vattam, Xiao Ni
Comparison Of Methods For Using Reduced Models To Speed Up Design Optimization. GECCO (2002)
Khaled Rasheed, Xiao Ni, Swaroop Vattam
Comparison of methods for developing dynamic reduced models for design optimization. IEEE Congress on Evolutionary Computation (2002)
Anil Bahuman, Khaled Rasheed, Benjamin Bishop
An evolutionary approach for VLSI standard cell design. IEEE Congress on Evolutionary Computation (2002)
Anil Bahuman, Benjamin Bishop, Khaled Rasheed
Automated Synthesis of Standard Cells using Genetic Algorithms. ISVLSI (2002)
Khaled Rasheed
An incremental-approximate-clustering approach for developing dynamic reduced models for design optimization. CEC (2000)
Khaled Rasheed, Haym Hirsh
Informed operators: Speeding up genetic-algorithm-based design optimization using reduced models. GECCO (2000)
Khaled Rasheed, Brian D. Davison
Effect of global parallelism on the behavior of a steady state genetic algorithm for design optimization. CEC (1999)
Khaled Rasheed, Haym Hirsh
Learning to be selective in genetic-algorithm-based design optimization. Artif. Intell. Eng. Des. Anal. Manuf. 13 (3) (1999)
Khaled Rasheed
Guided crossover: a new operator for genetic algorithm based optimization. CEC (1999)
Khaled Rasheed, Haym Hirsh, Andrew Gelsey
A genetic algorithm for continuous design space search. Artif. Intell. Eng. 11 (3) (1997)
Khaled Rasheed, Haym Hirsh
Using Case Based Learning to Improve Genetic Algorithm Based Design Optimization. ICGA (1997)
Andrew Gelsey, Don Smith, Mark Schwabacher, Khaled Rasheed, Keith Miyake
A search space toolkit: SST. Decis. Support Syst. 18 (3-4) (1996)