Vijay V. Raghavan
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View article: Development of the TSR-based computational method to investigate spike and monoclonal antibody interactions
Development of the TSR-based computational method to investigate spike and monoclonal antibody interactions Open
Introduction Monoclonal antibody (mAb) drug treatments have proven effective in reducing COVID-19-related hospitalizations or fatalities, particularly among high-risk patients. Numerous experimental studies have explored the structures of …
View article: Integrating Secondary Structures Information into Triangular Spatial Relationships (TSR) for Advanced Protein Classification.
Integrating Secondary Structures Information into Triangular Spatial Relationships (TSR) for Advanced Protein Classification. Open
Protein structures represent the key to deciphering biological functions. The more detailed form of similarity among these proteins is sometimes overlooked by the conventional structural comparison methods. In contrast, further advanced me…
View article: Representing and Quantifying Conformational Changes of Kinases and Phosphatases Using the TSR-Based Algorithm
Representing and Quantifying Conformational Changes of Kinases and Phosphatases Using the TSR-Based Algorithm Open
Protein kinases and phosphatases are key signaling proteins and are important drug targets. An explosion in the number of publicly available 3D structures of proteins has been seen in recent years. Three-dimensional structures of kinase an…
View article: Unlocking the Power of Clinical Notes: Natural Language Processing in Healthcare
Unlocking the Power of Clinical Notes: Natural Language Processing in Healthcare Open
Electronic Health Records (EHRs) have become the backbone of modern healthcare, providing a comprehensive record of a patient's medical journey.However, a significant portion of this data resides in clinical notes, predominantly consist of…
View article: Title Page
Title Page Open
View article: Introducing mirror-image discrimination capability to the TSR-based method for capturing stereo geometry and understanding hierarchical structure relationships of protein receptor family
Introducing mirror-image discrimination capability to the TSR-based method for capturing stereo geometry and understanding hierarchical structure relationships of protein receptor family Open
View article: Big Data 2022 Cover Page
Big Data 2022 Cover Page Open
View article: The specific applications of the TSR-based method in identifying Zn2+ binding sites of proteases and ACE/ACE2
The specific applications of the TSR-based method in identifying Zn2+ binding sites of proteases and ACE/ACE2 Open
View article: Examining the COVID-19 case growth rate due to visitor vs. local mobility in the United States using machine learning
Examining the COVID-19 case growth rate due to visitor vs. local mobility in the United States using machine learning Open
View article: An enhancement of Boolean retrieval systems based on term co-occurrence frequencies / Un amélioration des systèmes d’information basé sur la cooccurrence de termes
An enhancement of Boolean retrieval systems based on term co-occurrence frequencies / Un amélioration des systèmes d’information basé sur la cooccurrence de termes Open
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View article: Intrusion Detection Using Payload Embeddings
Intrusion Detection Using Payload Embeddings Open
Attacks launched over the Internet often degrade or disrupt the quality of online services. Various Intrusion Detection Systems (IDSs), with or without prevention capabilities, have been proposed to defend networks or hosts against such at…
View article: Correction to: Exploring the relationship between mobility and COVID− 19 infection rates for the second peak in the United States using phase-wise association
Correction to: Exploring the relationship between mobility and COVID− 19 infection rates for the second peak in the United States using phase-wise association Open
View article: COVID-19: Examining the case growth-rate due to Visitor vs Local Mobility using Machine Learning: A Study in the United States
COVID-19: Examining the case growth-rate due to Visitor vs Local Mobility using Machine Learning: A Study in the United States Open
Background: Travel patterns of humans play a major part in the spread of infectious diseases. This was evident in the geographical spread of COVID-19 in the United States. However, the impact of this mobility and the transmission of the vi…
View article: Association mining based approach to analyze COVID-19 response and case growth in the United States
Association mining based approach to analyze COVID-19 response and case growth in the United States Open
View article: Exploring the relationship between mobility and COVID− 19 infection rates for the second peak in the United States using phase-wise association
Exploring the relationship between mobility and COVID− 19 infection rates for the second peak in the United States using phase-wise association Open
Human mobility plays an important role in the dynamics of infectious disease spread. Evidence from the initial nationwide lockdowns for COVID− 19 indicates that restricting human mobility is an effective strategy to contain the spread. Whi…
View article: Development of a TSR-Based Method for Protein 3-D Structural Comparison With Its Applications to Protein Classification and Motif Discovery
Development of a TSR-Based Method for Protein 3-D Structural Comparison With Its Applications to Protein Classification and Motif Discovery Open
Development of protein 3-D structural comparison methods is important in understanding protein functions. At the same time, developing such a method is very challenging. In the last 40 years, ever since the development of the first automat…
View article: Divergence Based Non-Negative Matrix Factorization for top-N Recommendations
Divergence Based Non-Negative Matrix Factorization for top-N Recommendations Open
Personalized top-N recommendation algorithms are among the most effective techniques providing customized suggestions in information retrieval applications.Most of the current methods construct personalized recommendations based on various…
View article: A Novel Data-Driven Model for Real-Time Influenza Forecasting
A Novel Data-Driven Model for Real-Time Influenza Forecasting Open
We propose a novel data-driven machine learning method using long short-term memory (LSTM)-based multi-stage forecasting for influenza forecasting. The novel aspects of the method include the following: 1) the introduction of LSTM method t…
View article: [Title page iii]
[Title page iii] Open
View article: [Title page iii]
[Title page iii] Open
View article: A novel data-driven model for real-time influenza forecasting
A novel data-driven model for real-time influenza forecasting Open
We provide data-driven machine learning methods that are capable of making real-time influenza forecasts that integrate the impacts of climatic factors and geographical proximity to achieve better forecasting performance. The key contribut…
View article: Multiple Kernel Learning and Automatic Subspace Relevance Determination for High-dimensional Neuroimaging Data
Multiple Kernel Learning and Automatic Subspace Relevance Determination for High-dimensional Neuroimaging Data Open
Alzheimer's disease is a major cause of dementia. Its diagnosis requires accurate biomarkers that are sensitive to disease stages. In this respect, we regard probabilistic classification as a method of designing a probabilistic biomarker f…
View article: Multiple Kernel Learning and Automatic Subspace Relevance Determination\n for High-dimensional Neuroimaging Data
Multiple Kernel Learning and Automatic Subspace Relevance Determination\n for High-dimensional Neuroimaging Data Open
Alzheimer's disease is a major cause of dementia. Its diagnosis requires\naccurate biomarkers that are sensitive to disease stages. In this respect, we\nregard probabilistic classification as a method of designing a probabilistic\nbiomarke…
View article: Framework for Real-Time Event Detection using Multiple Social Media Sources
Framework for Real-Time Event Detection using Multiple Social Media Sources Open
Information about events happening in the real world are generated online on social media in real-time. There is substantial research done to detect these events using information posted on websites like Twitter, Tumblr, and Instagram. The…
View article: Massive Data Analysis: Tasks, Tools, Applications, and Challenges
Massive Data Analysis: Tasks, Tools, Applications, and Challenges Open
In this study, we provide an overview of the state-of-the-art technologies in programming, computing, and storage of the massive data analytics landscape. We shed light on different types of analytics that can be performed on massive data.…
View article: Big Data: Promises and Problems
Big Data: Promises and Problems Open
Despite some key problems, big data could fundamentally change scientific research methodology and how businesses develop products and provide services.