Khaled Rasheed

89 papers A 8B 7C 9Misc 6Journal 34Unranked 25

Year	Rank	Type	Title / Venue / Authors
2024	J	`jnl`	SWAG: A Novel Neural Network Architecture Leveraging Polynomial Activation Functions for Enhanced Deep Learning Efficiency. IEEE Access Saeid Safaei, Zerotti Woods, Khaled Rasheed, Thiab R. Taha, Vahid Safaei, Juan B. Gutierrez, Hamid R. Arabnia
2023	J	`jnl`	Decoding the Alphabet Soup of Degrees in the United States Postsecondary Education System Through Hybrid Method: Database and Text Mining. CoRR Sahar Voghoei, James M. Byars, John A. Miller, Khaled Rasheed, Hamid A. Arabnia
2023	J	`jnl`	Transformation vs Tradition: Artificial General Intelligence (AGI) for Arts and Humanities. CoRR Zhengliang Liu, Yiwei Li, Qian Cao, Junwen Chen, Tianze Yang, Zihao Wu, John Hale, John Gibbs, Khaled Rasheed, Ninghao Liu, Gengchen Mai, Tianming Liu
2022	J	`jnl`	A Review of Deep Transfer Learning and Recent Advancements. CoRR Mohammadreza Iman, Khaled Rasheed, Hamid R. Arabnia
2022	J	`jnl`	An Integrated Approach for Video Captioning and Applications. CoRR Soheyla Amirian, Thiab R. Taha, Khaled Rasheed, Hamid R. Arabnia
2022	—	`conf`	CLPL: A Self-supervised Contrastive Learning Pseudo-Labeling Framework for Tabular Data. CSCI Abolfazl Farahani, Navid Hashemi Tonekaboni, Khaled Rasheed, Hamid R. Arabnia
2022	J	`jnl`	Comparing Machine Learning Techniques for Alfalfa Biomass Yield Prediction. CoRR Jonathan Vance, Khaled Rasheed, Ali Missaoui, Frederick W. Maier, Christian Adkins, Chris Whitmire
2022	—	`conf`	EXPANSE: A Continual and Progressive Learning System for Deep Transfer Learning. CSCI Mohammadreza Iman, John A. Miller, Khaled Rasheed, Robert Maribe Branch, Hamid R. Arabnia
2022	J	`jnl`	EXPANSE: A Deep Continual / Progressive Learning System for Deep Transfer Learning. CoRR Mohammadreza Iman, John A. Miller, Khaled Rasheed, Robert Maribe Branch, Hamid R. Arabnia
2022	J	`jnl`	Generative Adversarial Network Applications in Creating a Meta-Universe. CoRR Soheyla Amirian, Thiab R. Taha, Khaled Rasheed, Hamid R. Arabnia
2022	—	`conf`	HPGER: Integrating Human Perception Into Group Emotion Recognition. CSCI Abolfazl Farahani, Navid Hashemi Tonekaboni, Khaled Rasheed, Hamid R. Arabnia
2022	J	`jnl`	The application of Evolutionary and Nature Inspired Algorithms in Data Science and Data Analytics. CoRR Farid Ghareh Mohammadi, Farzan Shenavarmasouleh, Khaled Rasheed, Thiab R. Taha, M. Hadi Amini, Hamid R. Arabnia
2021	J	`jnl`	A Concise Review of Transfer Learning. CoRR Abolfazl Farahani, Behrouz Pourshojae, Khaled Rasheed, Hamid R. Arabnia
2021	J	`jnl`	Automatic Generation of Descriptive Titles for Video Clips Using Deep Learning. CoRR Soheyla Amirian, Khaled Rasheed, Thiab R. Taha, Hamid R. Arabnia
2021	J	`jnl`	DRDrV3: Complete Lesion Detection in Fundus Images Using Mask R-CNN, Transfer Learning, and LSTM. CoRR Farzan Shenavarmasouleh, Farid Ghareh Mohammadi, M. Hadi Amini, Thiab R. Taha, Khaled Rasheed, Hamid R. Arabnia
2021	—	`conf`	EXPANSE, A Continual Deep Learning System; Research Proposal. CSCI Mohammadreza Iman, Khaled Rasheed, Hamid R. Arabnia
2021	—	`conf`	Generative Adversarial Network Applications in Creating a Meta-Universe. CSCI Soheyla Amirian, Thiab R. Taha, Khaled Rasheed, Hamid R. Arabnia
2021	J	`jnl`	Sarcasm Detection: A Comparative Study. CoRR Hamed Yaghoobian, Hamid R. Arabnia, Khaled Rasheed
2021	J	`jnl`	The Use of Video Captioning for Fostering Physical Activity. CoRR Soheyla Amirian, Abolfazl Farahani, Hamid R. Arabnia, Khaled Rasheed, Thiab R. Taha
2021	—	`conf`	The application of Evolutionary and Nature Inspired Algorithms in Data Science and Data Analytics. CSCI Farid Ghareh Mohammadi, Farzan Shenavarmasouleh, Khaled Rasheed, Thiab R. Taha, M. Hadi Amini, Hamid R. Arabnia
2020	J	`jnl`	A Brief Review of Domain Adaptation. CoRR Abolfazl Farahani, Sahar Voghoei, Khaled Rasheed, Hamid R. Arabnia
2020	J	`jnl`	A Comparative Study of Machine Learning Models for Tabular Data Through Challenge of Monitoring Parkinson's Disease Progression Using Voice Recordings. CoRR Mohammadreza Iman, Amy Giuntini, Hamid Reza Arabnia, Khaled Rasheed
2020	J	`jnl`	Automatic Image and Video Caption Generation With Deep Learning: A Concise Review and Algorithmic Overlap. IEEE Access Soheyla Amirian, Khaled Rasheed, Thiab R. Taha, Hamid R. Arabnia
2020	J	`jnl`	Quantitative Structure-Mutation-Activity Relationship Tests (QSMART) model for protein kinase inhibitor response prediction. BMC Bioinform. Liang-Chin Huang, Wayland Yeung, Ye Wang, Huimin Cheng, Aarya Venkat, Sheng Li, Ping Ma, Khaled Rasheed, Natarajan Kannan
2018	J	`jnl`	Accurate prediction of human miRNA targets via graph modeling of the miRNA-target duplex. J. Bioinform. Comput. Biol. Mohammad Mohebbi, Liang Ding, Russell L. Malmberg, Cory Momany, Khaled Rasheed, Liming Cai
2018	J	`jnl`	Feature Selection and Classification of Post-Graduation Income of College Students in the United States. CoRR Ewan Wright, Qiang Hao, Khaled Rasheed, Yan Liu
2018	—	`conf`	Feature Selection of Post-graduation Income of College Students in the United States. SBP-BRiMS Ewan Wright, Qiang Hao, Khaled Rasheed, Yan Liu
2018	J	`jnl`	Mining massive hierarchical data using a scalable probabilistic graphical model. Inf. Sci. 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
2018	—	`conf`	Towards Efficient and Real-Time Human Activity Recognition Using Wearable Sensors: A Shapelet-Based Pattern Matching Approach. BODYNETS Delaram Yazdansepas, Nitin Saroha, Lakshmish Ramaswamy, Khaled Rasheed
2017	J	`jnl`	Classifying kinase conformations using a machine learning approach. BMC Bioinform. Daniel Ian McSkimming, Khaled Rasheed, Natarajan Kannan
2017	C	`conf`	Solar Radiation Prediction Improvement Using Weather Forecasts. ICMLA Sam Sanders, Chris Barrick, Frederick W. Maier, Khaled Rasheed
2017	—	`conf`	Statistical Analysis of Window Sizes and Sampling Rates in Human Activity Recognition. HEALTHINF Anzah H. Niazi, Delaram Yazdansepas, Jennifer L. Gay, Frederick W. Maier, Lakshmish Ramaswamy, Khaled Rasheed, Matthew P. Buman
2016	C	`conf`	A Hierarchical Meta-Classifier for Human Activity Recognition. ICMLA Anzah H. Niazi, Delaram Yazdansepas, Jennifer L. Gay, Frederick W. Maier, Lakshmish Ramaswamy, Khaled Rasheed, Matthew P. Buman
2016	—	`conf`	A Multi-featured Approach for Wearable Sensor-Based Human Activity Recognition. ICHI Delaram Yazdansepas, Anzah H. Niazi, Jennifer L. Gay, Frederick W. Maier, Lakshmish Ramaswamy, Khaled Rasheed, Matthew P. Buman
2016	—	`conf`	Accurate prediction of human miRNA targets via graph modeling of miRNA-target duplex. ICCABS Mohammad Mohebbi, Liang Ding, Russell L. Malmberg, Cory Momany, Khaled Rasheed, Liming Cai
2016	—	`conf`	Harnessing Crowds and Experts for Semantic Annotation of the Qur'an. ISWC (Posters & Demos) Amna Basharat, Khaled Rasheed, Ismailcem Budak Arpinar
2016	—	`conf`	Leveraging Crowdsourcing for the Thematic Annotation of the Qur'an. WWW (Companion Volume) Amna Basharat, Ismailcem Budak Arpinar, Khaled Rasheed
2016	—	`conf`	Semantic Hadith: Leveraging Linked Data Opportunities for Islamic Knowledge. LDOW@WWW Amna Basharat, Bushra Abro, Ismailcem Budak Arpinar, Khaled Rasheed
2016	C	`conf`	Style-Me - An Experimental AI Fashion Stylist. IEA/AIE Haosha Wang, Joshua De Haan, Khaled Rasheed
2015	J	`jnl`	GELATO and SAGE: An Integrated Framework for MS Annotation. CoRR Khalifeh AlJadda, René Ranzinger, Melody P. Porterfield, Brent Weatherly, Mohammed Korayem, John A. Miller, Khaled Rasheed, Krys J. Kochut, William S. York
2015	J	`jnl`	Mining Massive Hierarchical Data Using a Scalable Probabilistic Graphical Model. CoRR Khalifeh AlJadda, Mohammed Korayem, Camilo Ortiz, Trey Grainger, John A. Miller, Khaled Rasheed, Krys J. Kochut, William S. York, René Ranzinger, Melody P. Porterfield
2014	J	`jnl`	Prediction and Prioritization of Rare Oncogenic Mutations in the Cancer Kinome Using Novel Features and Multiple Classifiers. PLoS Comput. Biol. Man Chon U, Eric Talevich, Samiksha Katiyar, Khaled Rasheed, Natarajan Kannan
2013	—	`conf`	An overlapping variable linkage benchmark suite. GECCO (Companion) Tomasz Oliwa, Khaled Rasheed
2012	—	`conf`	A surrogate-assisted and informed linkage aware GA. GECCO (Companion) Tomasz Oliwa, Khaled Rasheed
2011	A	`conf`	A surrogate-assisted linkage inference approach in genetic algorithms. GECCO Tomasz Oliwa, Khaled Rasheed
2011	—	`conf`	Evolving Efficient Sensor Arrangement and Obstacle Avoidance Control Logic for a Miniature Robot. IEA/AIE (2) Muthukumaran Chandrasekaran, Karthik Nadig, Khaled Rasheed
2011	B	`conf`	GART: A genetic algorithm based real-time system scheduler. IEEE Congress on Evolutionary Computation U. ManChon, Chiahsun Ho, Shelby H. Funk, Khaled Rasheed
2010	—	`conf`	A Machine Learning Approach for Sensitivity Inference in Genetic Algorithms. GEM Tomasz Oliwa, Khaled Rasheed
2010	C	`conf`	A Relative Tendency Based Stock Market Prediction System. ICMLA Man Chon U, Khaled Rasheed
2010	—	`conf`	Application of Machine Learning Algorithms for Binning Metagenomic Data. BIOCOMP Vasim Mahamuda, Man Chon U, Khaled Rasheed
2010	C	`conf`	On the Scalability of Supervised Learners in Metagenomics. ICMLA Man Chon U, Vasim Mahamuda, Khaled Rasheed
2010	C	`conf`	Selection of Classifier and Feature Selection Method for Microarray Data. ICMLA Boseon Byeon, Khaled Rasheed
2009	—	`conf`	Classification of Genomic Islands Using Decision-tree Based Algorithms. BIOCOMP Dongsheng Che, Cory Hockenbury, Robert E. Marmelstein, Khaled Rasheed
2009	Misc	`conf`	Using Genetic Algorithms for Simultaneous Noise Removal and Feature Selection in Classification and Regression problems. IC-AI Boseon Byeon, Khaled Rasheed
2008	A	`conf`	ASAGA: an adaptive surrogate-assisted genetic algorithm. GECCO Liang Shi, Khaled Rasheed
2008	C	`conf`	Comparison of the Effects of Morphological and Ontological Information on Text Categorization. ICMLA Cesar Koirala, Khaled Rasheed
2008	Misc	`conf`	Enhancing the Quality of Noisy Training Data Using a Genetic Algorithm and Prototype Selection. IC-AI Boseon Byeon, Khaled Rasheed, Prashant Doshi
2008	Misc	`conf`	Path Normalcy Analysis Using Nearest Neighbor Outlier Detection. IC-AI David Luper, Muthukumaran Chandrasekaran, Khaled Rasheed, Hamid R. Arabnia
2008	C	`conf`	Replication in Overlay Networks: A Multi-objective Optimization Approach. CollaborateCom Osama Al-Haj Hassan, Lakshmish Ramaswamy, John A. Miller, Khaled Rasheed, E. Rodney Canfield
2008	C	`conf`	Simultaneously Removing Noise and Selecting Relevant Features for High Dimensional Noisy Data. ICMLA Boseon Byeon, Khaled Rasheed
2008	Misc	`conf`	Temporal Difference Learning for Nondeterministic Board Games. IC-AI Glenn F. Matthews, Khaled Rasheed
2007	—	`conf`	Comparing Machine Learning Techniques in Predicting Translation Start Sites in Prokaryotic Genomes. MLMTA Sergey V. Fogelson, Khaled Rasheed, Xiangxue Guo, Jan Mrázek
2007	—	`conf`	Improving Genetic Algorithm Performance Using Relative Fitness. GEM Chongshan Zhang, Khaled Rasheed
2007	J	`jnl`	Stock market prediction with multiple classifiers. Appl. Intell. Bo Qian, Khaled Rasheed
2007	Misc	`conf`	Time Series Similarity Matching with a New Distance Measure. IKE Junfeng Qu, Hamid R. Arabnia, Yinglei Song, Khaled Rasheed, Jack Houston
2007	J	`jnl`	Using genetic algorithms to reorganize superpeer structure in peer to peer networks. Appl. Intell. Jaymin Kessler, Khaled Rasheed, Ismailcem Budak Arpinar
2005	J	`jnl`	Comparison of methods for developing dynamic reduced models for design optimization. Soft Comput. Khaled Rasheed, Xiao Ni, Swaroop Vattam
2005	J	`jnl`	Guest Editorial. Soft Comput. Yaochu Jin, Sushil J. Louis, Khaled Rasheed
2005	A	`conf`	Improving GA search reliability using maximal hyper-rectangle analysis. GECCO Chongshan Zhang, Khaled Rasheed
2005	A	`conf`	MDGA: motif discovery using a genetic algorithm. GECCO Dongsheng Che, Yinglei Song, Khaled Rasheed
2005	J	`jnl`	Multiobjective GA optimization using reduced models. IEEE Trans. Syst. Man Cybern. Part C Deepti Chafekar, Liang Shi, Khaled Rasheed, Jiang Xuan
2004	—	`conf`	Machine Learning Techniques for the Evaluation of External Skeletal Fixation Structures. METMBS Ning Suo, Khaled Rasheed, Walter D. Potter, Dennis N. Aron
2004	Misc	`conf`	Using Machine Learning Techniques for Stylometry. IC-AI Ramyaa Congzhou He, Khaled Rasheed
2004	J	`jnl`	Using Surrogate Modeling in the Prediction of Fibrinogen Adsorption onto Polymer Surfaces. J. Chem. Inf. Model. Jack R. Smith, Doyle Knight, Joachim Kohn, Khaled Rasheed, Norbert Weber, Vladyslav V. Kholodovych, William J. Welsh
2003	A	`conf`	Constrained Multi-objective Optimization Using Steady State Genetic Algorithms. GECCO Deepti Chafekar, Jiang Xuan, Khaled Rasheed
2003	B	`conf`	Using singular value decomposition to improve a genetic algorithm's performance. IEEE Congress on Evolutionary Computation J. G. Martin, Khaled Rasheed
2002	A	`conf`	A Comparison of Genetic Algorithm Methods In Aerial Spray Deposition Management. GECCO L. Wu, Walter D. Potter, Khaled Rasheed, H. Thistle, J. Ghent, D. Twardus, M. Teske
2002	B	`conf`	An evolutionary approach for VLSI standard cell design. IEEE Congress on Evolutionary Computation Anil Bahuman, Khaled Rasheed, Benjamin Bishop
2002	—	`conf`	Automated Synthesis of Standard Cells using Genetic Algorithms. ISVLSI Anil Bahuman, Benjamin Bishop, Khaled Rasheed
2002	A	`conf`	Comparison Of Methods For Using Reduced Models To Speed Up Design Optimization. GECCO Khaled Rasheed, Swaroop Vattam, Xiao Ni
2002	B	`conf`	Comparison of methods for developing dynamic reduced models for design optimization. IEEE Congress on Evolutionary Computation Khaled Rasheed, Xiao Ni, Swaroop Vattam
2000	B	`conf`	An incremental-approximate-clustering approach for developing dynamic reduced models for design optimization. CEC Khaled Rasheed
2000	A	`conf`	Informed operators: Speeding up genetic-algorithm-based design optimization using reduced models. GECCO Khaled Rasheed, Haym Hirsh
1999	B	`conf`	Effect of global parallelism on the behavior of a steady state genetic algorithm for design optimization. CEC Khaled Rasheed, Brian D. Davison
1999	B	`conf`	Guided crossover: a new operator for genetic algorithm based optimization. CEC Khaled Rasheed
1999	J	`jnl`	Learning to be selective in genetic-algorithm-based design optimization. Artif. Intell. Eng. Des. Anal. Manuf. Khaled Rasheed, Haym Hirsh
1997	J	`jnl`	A genetic algorithm for continuous design space search. Artif. Intell. Eng. Khaled Rasheed, Haym Hirsh, Andrew Gelsey
1997	—	`conf`	Using Case Based Learning to Improve Genetic Algorithm Based Design Optimization. ICGA Khaled Rasheed, Haym Hirsh
1996	J	`jnl`	A search space toolkit: SST. Decis. Support Syst. Andrew Gelsey, Don Smith, Mark Schwabacher, Khaled Rasheed, Keith Miyake