Search Results - "Dalkilic, Mehmet M"

Rapidly predicting Kohn–Sham total energy using data-centric AI by Kurban, Hasan, Kurban, Mustafa, Dalkilic, Mehmet M.

“…Predicting material properties by solving the Kohn-Sham (KS) equation, which is the basis of modern computational approaches to electronic structures, has…”
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Data on Machine Learning regenerated Lithium-ion battery impedance by Temiz, Selcuk, Kurban, Hasan, Erol, Salim, Dalkilic, Mehmet M.

“…This paper describes and provides the data on the regenerated-impedance spectra that is computed from experimental results of electrochemical impedance…”
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An extended de Bruijn graph for feature engineering over biological sequential data by Cakiroglu, Mert Onur, Kurban, Hasan, Sharma, Parichit, Kulekci, M Oguzhan, Buxton, Elham Khorasani, Raeeszadeh-Sarmazdeh, Maryam, Dalkilic, Mehmet M

“…In this study, we introduce a novel de Bruijn graph (dBG) based framework for feature engineering in biological sequential data such as proteins. This…”
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From protein-disease associations to disease informatics by Dalkilic, Mehmet M, Costello, James C, Clark, Wyatt T, Radivojac, Predrag

“…Advancements in high-throughput technology and computational power have brought about significant progress in our understanding of cellular processes,…”
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Stability and decline in deep-sea coral biodiversity, Gulf of Mexico and US West Atlantic by Zimmerman, Alexander N., Johnson, Claudia C., Bussberg, Nicholas W., Dalkilic, Mehmet M.

“…Characterizing deep-sea coral biodiversity is essential to evaluate the current state of deep-sea ecosystems and to assess vulnerability to anthropogenic…”
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Gene networks in Drosophila melanogaster: integrating experimental data to predict gene function by Costello, James C, Dalkilic, Mehmet M, Beason, Scott M, Gehlhausen, Jeff R, Patwardhan, Rupali, Middha, Sumit, Eads, Brian D, Andrews, Justen R

“…Discovering the functions of all genes is a central goal of contemporary biomedical research. Despite considerable effort, we are still far from achieving this…”
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Data Pushing: A Fly-Centric Guide to Bioinformatics Tools by Costello, James, Cash, Amy C., Dalkilic, Mehmet M., Andrews, Justen

“…Bioinformatics tools can be invaluable resources to Drosophila researchers; however, the sheer number of applications and databases can be overwhelming. We…”
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Geological time, biological events and the learning transfer problem by Johnson, Claudia C, Middendorf, Joan, Rehrey, George, Dalkilic, Mehmet M, Cassidy, Keely

“…Comprehension of geologic time does not come easily, especially for students who are studying the earth sciences for the first time. This project investigated…”
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COMPAM :visualization of combining pairwise alignments for multiple genomes by Lee, DoHoon, Choi, Jeong-Hyeon, Dalkilic, Mehmet M., Kim, Sun

“…COMPAM is a tool for visualizing relationships among multiple whole genomes by combining all pairwise genome alignments. It displays shared conserved regions…”
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State of charge and temperature-dependent impedance spectra regeneration of lithium-ion battery by duplex learning modeling by Temiz, Selcuk, Erol, Salim, Kurban, Hasan, Dalkilic, Mehmet M.

“…Impedance spectroscopy is a powerful technique and broadly used for battery characterization. In this study, we introduce a novel machine framework we call the…”
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Regeneration of Lithium-ion battery impedance using a novel machine learning framework and minimal empirical data by Temiz, Selcuk, Kurban, Hasan, Erol, Salim, Dalkilic, Mehmet M.

“…The use of Electrochemical Impedance Spectroscopy on rechargeable Lithium-ion battery characterization is an extensively recognized non-destructive procedure…”
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Red-RF: Reduced Random Forest for Big Data Using Priority Voting & Dynamic Data Reduction by Mohsen, Hussein, Kurban, Hasan, Zimmer, Kurt, Jenne, Mark, Dalkilic, Mehmet M.

“…Random Forests have been used as effective ensemble models for classification. We present in this paper a new type of Random Forests (RFs) called Red(uced) RF…”
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Using data to build a better EM: EM for big data by Kurban, Hasan, Jenne, Mark, Dalkilic, Mehmet M.

“…Existing data mining techniques, more particularly iterative learning algorithms, become overwhelmed with big data. While parallelism is an obvious and,…”
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A novel approach to optimization of iterative machine learning algorithms: Over heap structure by Kurban, Hasan, Dalkilic, Mehmet M.

“…Iterative machine learning algorithms, i.e., k-means (KM), expectation maximization (EM), become overwhelmed with big data since all data points are being…”
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EM: An EM Algorithm for Big Data by Kurban, Hasan, Jenne, Mark, Dalkilic, Mehmet M.

“…Existing data mining techniques, more particularly iterative learning algorithms, become overwhelmed with big data. While parallelism is an obvious and,…”
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High-Performance Direct Pairwise Comparison of Large Genomic Sequences by Mueller, C., Dalkilic, M.M., Lumsdaine, A.

“…Many applications in comparative genomics lend themselves to implementations that take advantage of common high-performance features in modern microprocessors…”
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Improving expectation maximization algorithm over stellar data by Kurban, Hasan, Kockan, Can, Jenne, Mark, Dalkilic, Mehmet M.

“…Stellar data, only a few years ago, measured in the .1M of objects. Now, sets are routinely 1M. With the launch of ESA's Gaia in 2013, we expect 1000M stellar…”
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Using Data Analytics to Optimize Public Transportation on a College Campus by Zimmer, Kurt, Kurban, Hasan, Jenne, Mark, Keating, Logan, Maull, Perry, Dalkilic, Mehmet

“…Using a large volume of bus data in the form of GPS coordinates (over 100 million data points) and automated passenger count data (over 1 million data points)…”
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Using Drosophila melanogaster Data to Discover Disease-Related Protein Interactions in Humans by Costello, J.C., Buchanan-Carter, J.E., Dalkilic, M.M., Andrews, J.

“…The discovery and understanding of functional relationships amongst genes and their gene products are fundamental to our understanding of human disease. Data…”
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