SJSU faculty and students produce AI research that pushes their fields forward, and King Library's SJSU ScholarWorks helps make sure that research is shared with readers around globe. SJSU's Office of Research has identified emerging technology, including artificial intelligence and machine learning, as an area of research strength at SJSU.
AI @ SJSUMaster's Projects from 2017
Shopbot: An Image Based Search Application for E-Commerce Domain, Nishant Goel
Mining Frequency of Drug Side Effects Over a Large Twitter Dataset Using Apache Spark, Dennis Hsu
Masquerade Detection on Mobile Devices, Swathi Nambiar Kadala Manikoth
Comparing Authentic and Cryptic 5’ Splice Sites Using Hidden Markov Models and Decision Trees, Pratikshya Mishra
Computational Analysis of Cryptic Splice Sites, Remya Mohanan
A Chatbot Framework for Yioop, Harika Nukala
Malware Scores Based on Image Processing, Vikash Raja Samuel Selvin
Generic Online Learning for Partial Visible & Dynamic Environment with Delayed Feedback, Behrooz Shahriari
Headline Generation using Deep Neural Networks, Dhruven Vora
Cascaded Facial Detection Algorithms To Improve Recognition, Edmund Yee
Image Spam Detection, Aneri Chavda
Analysis of Periodicity in Botnets, Prathiba Nagarajan
Automated Medical Diagnosis from Clinical Data, Vishnu S. Pendyala and Silvia Figueira
Mining Frequency of Drug Side Effects Over a Large Twitter Dataset Using Apache Spark, Dennis Hsu
Malware Detection using the Index of Coincidence, Bhavna Gurnani
Evolving a Truthful World Wide Web, Vishnu Pendyala
Automated Classification to Improve the Efficiency of Weeding Library Collections, Kiri Lou Wagstaff
Theses/Dissertations from 2016
Modeling Cloud Computing Threats and Vulnerabilities, Maryam Runiassy
Real-time Online Chinese Character Recognition, Wenlong Zhang
DNA ANALYSIS USING GRAMMATICAL INFERENCE, Cory Cook
Analyze Large Multidimensional Datasets Using Algebraic Topology, David Le
Analysis on ALERGIA Algorithm: Pattern Recognition by Automata Theory, Xuanyi Qi
Static and Dynamic Analysis for Android Malware Detection, Ankita Kapratwar
Machine Learning on the Cloud for Pattern Recognition, Tien Nguyen
Multi Faceted Text Classification using Supervised Machine Learning Models, Abhiteja Gajjala
Supervised Learning for Multi-Domain Text Classification, Siva Charan Reddy Gangireddy
Malicious JavaScript Detection using Statistical Language Model, Anumeha Shah
Movie Script Shot Lister, David Robert Smith
Multiple Sequence Alignment with Pro le Hidden Markov Models, Shubhangi Rakhonde
HIVE - An Agent Based Modeling Framework, Roohi Bharti
Detection of Locations of Key Points on Facial Images, Manoj Gyanani
PRO-Fit: Exercise with friends, Saumil Dharia, Vijesh Jain, Jvalant Patel, Jainikkumar Vora, Rizen Yamauchi, Magdalini Eirinaki, and Iraklis Varlamis
Master's Projects from 2015
PATTERN DISCOVERY IN DNA USING STOCHASTIC AUTOMATA, Shweta Shweta
Predicting Autism over Large-Scale Child Dataset, Arpit Arya
Interactive Phishing Filter, Rushikesh Joshi
Predicting 'Attention Deficit Hyperactive Disorder' using large scale child data set, Arpi Shah
The Secret of Plinket, Priya Banwait
Clustering versus SVM for Malware Detection, Usha Narra
A Comparison of Clustering Techniques for Malware Analysis, Swathi Pai
Optimization of Scheduling and Dispatching Cars on Demand, Vu Tran
Malware Detection Using Dynamic Analysis, Swapna Vemparala
Using Neural Networks for Image Classification, Tim Kang
Static Analysis of Malicious Java Applets, Nikitha Ganesh
Using Hidden Markov Models to Detect DNA Motifs, Santrupti Nerli
Using Probabilistic Graphical Models to Solve NP-complete Puzzle Problems, Fengjiao Wu
COMPARATIVE ANALYSIS OF PARTICLE SWARM OPTIMIZATION ALGORITHMS FOR TEXT FEATURE SELECTION, Shuang Wu
Master's Projects from 2014
Masquerade detection using Singular Value Decomposition, Sweta Vikram Shah
FINANCIAL RATIO ANALYSIS FOR STOCK PRICE MOVEMENT PREDICTION USING HYBRID CLUSTERING, Tom Tupe
CS 156: Introduction to Artificial Intelligence Course Redesign, Chris Tseng
CS 156: Introduction toArtificial Intelligence Textbook Alternatives, Chris Tseng
Big Data Analytics Using Neural networks, Chetan Sharma
Backward Sequential Feature Elimination And Joining Algorithms In Machine Learning, Sanya Valsan
Master's Projects from 2013
BIG DATA CLASSIFICATION USING DECISION TREES ON THE CLOUD, Chinmay Bhawe
Predicting Product Review Helpfulness Using Machine Learning and Specialized Classification Models, Scott Bolter
Modular Approach to Big Data using Neural Networks, Animesh Dutta
Big Data Analysis Using Amazon Web Services and Support Vector Machines, Dhruv Jalota
Classification of Web Pages in Yioop with Active Learning, Shawn Cameron Tice
Master's Projects from 2012
SEMANTIC DISCOVERY THROUGH TEXT PROCESSING, Bieu Binh Do
Extraction of Semantics from Primitive Concepts, Chak Li
Motion Learning Using The Neural Network, Priyank Shah
DEFEATING MASQUERADE DETECTION, Avani Kothari
Chi-Squared Distance and Metamorphic Virus Detection, Annie Hii Toderici
Master's Projects from 2011
A Machine Learning and Compiler-based Approach to Automatically Parallelize Serial Programs Using OpenMP, Nam Quang Lam
Graph Technique For Metamorphic Virus Detection, Neha Runwal
Learning Author’s Writing Pattern System By Automata, Qun Yu
Nessa 1944, Ellen Christine Glass
Master's Projects from 2010
Extending OWL with Finite Automata Constraints, Jignesh Borisa
EMail Data Mining: An Approach to Construct an Organization Position-wise Structure While Performing EMail Analysis, Bhargav Vadher
Master's Projects from 2009
Common Emotion Modeling in Distinct Medium Analysis and Matching, Amy Cho
Analysis of Machine Learning Based Methods for Identifying MicroRNA Precursors, Steve Ikeoka
Master's Projects from 2008
Practical Detection of Metamorphic Computer Viruses, Sharmidha Govindaraj
The Prosody of Uncertainty for Spoken Dialogue Intelligent Tutoring Systems, Bevan Jones
Online Collaborative Time Management System using Artificial Intelligence, Anand Sivaramakrishnan
Code Obfuscation and Virus Detection, Ashwini Venkatesan
Master's Projects from 2007
Emotional and Domain Concept Enhancements to Alicebot, Alvin Cho
Theses/Dissertations from 1999
The application of machine learning to forecast stratus burn-off, George Astrop Fenton
Submissions from 1997
The "Hoover" Project: Home Occupants Vehicular Electronic Reconnaissance, Kelvin Chan
Submissions from 1996
Artificial Love Life is as Real as the Real Thing, Professor S. Farsad
Nanotechnology, Fullereness, & the Golden Mean, Loretta L. Lange
the Emergence of ALife, P.D. Quick
Rucker, Rudy Rucker
Rudy Rucker's Calife, Rudy Rucker
Rudy Rucker's Spirograph, Rudy Rucker
12 Monkeys, Collette Sweeney
Editor's Spot, Switch Staffs
Submissions from 1995
VR Products, P.D. Quick
Virtual Celluoid, Switch Staffs
Interview: Brenda Laurel, Jason Challas
