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Tadepalli, Prasad
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Action Segmentation in Videos: Deep Models, Prediction Diffusion, and Deep-Temporal Au...
Synthetic instrument generation : generating novel instrument timbres with a genetic a...
Safe navigation in highway environment using behavioral cloning
Semantic embodied navigation : developing agents that navigate from language and vision
Visual object discovery and understanding
Inclusive Software Design and Its Methods for Beyond-WIMP User Interfaces
Advancing Power Grid Computing: Analysis and Synthesis of Wide-Area Data, Distributed ...
Investigating Latent State and Uncertainty Representations in Reinforcement Learning
Stake-Free Evaluations of Black-Box Optimization and Spatio-Temporal Graph Network Alg...
Deep Learning for Human and Biological Languages
Explanations and Processes to Enable Humans to Assess AI with Respect to Manipulable P...
An Information Modeling Framework for Support of Sustainable Manufacturing System Desi...
Auxiliary Tasks for Efficient Learning of Point-Goal Navigation
Learning and Improving Policies for Probabilistic Planning Problems
Analytical Methods for Improving Causal Inference
Variational Satisfiability Solving
Re-understanding Finite-State Representations of Recurrent Policy Networks
A Distributed Scheme for Accelerating and Scaling PSPNet
A General Purpose Agent-Based Blackboard Optimization Method Applied to Sodium Fast Re...
Knowledge Base Completion Leveraging Natural Language Data
Leveraging Structures of the Data in Deep Learning
A Benchmarking Study of Unsupervised Anomaly Detection Algorithms
Coordination for Scalable Multiple Robot Planning Under Temporal Uncertainty
Advances in Simultaneous Translation
Scheduling and Online Planning in Stochastic Diffusion Networks
Improving and Understanding Deep Models for Natural Language Comprehension
Computational Approaches for RNA Structure Prediction with Dynamic Programming and Dee...
Interpretable Machine Learning: Applications in Biology and Genomics
Computing Resource Usage as a Factor of Student Success
Improving the Effectiveness of Answering Keyword Queries Using Effective Subsets
Learning with Limited Labeled Data in Natural Language Processing
A Study of Temporal Convolutional Neural Networks for Music Language Modeling as Appli...
Long Wave Amplification in a Coral-Reef Lagoon
Anomaly Detection: Theory, Explanation and User Feedback
Representationally Robust and Scalable Learning over Relational Databases
ThreshKnot: Thresholded ProbKnot for Improved RNA Secondary Structure Prediction
Conceptual Representations within the Social and Material Contexts of an Engineering W...
Approximation Schemes in Planar Graphs
Automated decomposition of complex parts for manufacturing with advanced joining proce...
Assisting Sustainability Analysis of Forest Bioenergy Supply Chains using Mathematical...
The Ownership Monad
An Investigation on Nanoscale-shape-mediated Coupling Between Temperature and Densific...
Adaptive Multiagent Traffic Management for Autonomous Robotic Systems
Reaction Pathways of Oxo-Hydroxo Group 5 Clusters to Metal Oxide Thin Films
Weakly Supervised Learning for Activity Recognition from Time Series Data
Machine learning methods for public policy : simulation, optimization, and visualization
Learning with Partial Supervision for Clustering and Classification
Structured learning with latent variables : theory and algorithms
Incorporating User Feedback into Machine Learning Systems
Event detection with forward-backward recurrent neural networks
Feedback-Based Random Test Generator for TSTL
muupi: An Abstract Syntax Tree based Mutation Testing Tool for Python 2.x Programs
Monte Carlo Tree Search with Fixed and Adaptive Abstractions
Object Tracking-by-Segmentation in Videos
Using Change Representations to Analyze Properties of Variational Software
Simulator-Defined MDP Planning with Applications in Natural Resource Management
Parsing with Recurrent Neural Networks
Variant Annotation
Nonuniform Sampling Of Band-limited Functions
An Empirical Evaluation of Policy Rollout for Clue
D₊₊ : Structural Credit Assignment in Tightly Coupled Multiagent Domains
Improving automated email tagging with implicit feedback
Variational Typing and Its Applications
Learning-based Control of Experimental Hybrid Fuel Cell Power Plant
Incorporating and Learning Behavior Constraints for Sequential Decision Making
Offensive Direction Inference in Real-World Football Video
OME : A Framework for Running Spatially Explicit System Dynamics Models
Evaluation of Parallel Monte Carlo Tree Search Algorithms in Python
Predicting Aerodynamic Loads on Highly Flexible Membrane Wings
Efficient Incremental Panorama Reconstruction from Multiple Videos
Data Collection in Sensor Networks via the Novel Fast Markov Decision Process Framework
Pedestrian distraction : pedestrian behaviors at midblock crossings considering geomet...
A study on student perceptions of principles of logic and their application to the pri...
The density signature
Multiagent learning for locomotion and coordination in tensegrity robotics
New learning modes for sequential decision making
Learning greedy policies for the easy-first framework
Machine learning for improving the quality of citizen science data
Novelty Detection Under the Multi-Instance Multi-Label Framework
Reinforcement learning-based off-equilibrium incentives to approximate the VCG mechanism
Physical activity recognition of free-living data using change-point detection algorit...
Adiabatic Markov Decision Process : convergence of value iteration algorithm
Using RUBI to partition agents in air traffic problems with hard constraints and rewar...
Active learning of constraints for semi-supervised clustering
Bayesian optimization with empirical constraints
Toward computer vision for understanding American football in video
Adversarial planning by strategy switching in a real-time strategy game
Nanoparticle-assisted diffusion brazing of metal microchannel arrays : nanoparticle sy...
Microstructure of radiation damage in the uranium film and its backing materials irrad...
Calibrating the highway safety manual predictive methods for Oregon rural state highways
Modeling and dynamics analysis of P2P networks based on evolutionary games
Development of a dose conversion factor from uptakes of Po-210 through smoking using a...
Learning ranking functions for efficient search
Ensemble Monte-Carlo planning : an empirical study
Mechanical design under changing customer requirements case study : BugID
Numerical modeling and experiments on wood-strand composites
Applying machine learning for prediction, recommendation, and integration
Learning multiple non-redundant codebooks with word clustering for document classifica...
Towards reliable and survivable ocean wave energy converters
Seismic performance of a pile-supported container wharf structures in rockfill
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Academic Affiliation
Electrical Engineering and Computer Science
88
Computer Science
32
Mechanical, Industrial, and Manufacturing Engineering
13
Electrical and Computer Engineering
4
Civil and Construction Engineering
3
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Academic Affiliations
»
Advisor
Dietterich, Thomas G.
17
Fern, Alan
11
Minoura, Toshimi
9
Fern, Alan P.
8
Fern, Xiaoli Z.
8
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Advisors
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Commencement Year
Commencement Year range begin
–
Commencement Year range end
Current results range from
1991
to
2024
View distribution
Committee Member
Tadepalli, Prasad
[remove]
157
Fern, Alan
18
Fern, Xiaoli
12
Wong, Weng-Keen
9
Raich, Raviv
8
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Committee Members
»
Conference Name
Approximation, Randomization, and Combinatorial Optimization. Algorithms and Techniques (APPROX/RANDOM 2017)
1
Creator
Chen, Sheng
2
Duong, Thai
2
Moissinac, Beatrice
2
Adams, Patrick Guy
1
Al Hammali, Hussain Y.
1
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Creators
»
Contributor
Bittner, Paul Maximillian
1
Brown, Shane A.
1
Dolatina, Nima
1
Erwig, Martin
1
Fern, Alan P.
1
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Contributors
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Date
Date range begin
–
Date range end
Current results range from
1991
to
2024
View distribution
Unknown
1
Decade
2020-2029
26
2010-2019
70
2000-2009
40
1990-1999
20
Degree Field
Computer Science
118
Electrical and Computer Engineering
8
Mechanical Engineering
7
Civil Engineering
6
Robotics
4
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Degree Fields
»
Degree Level
Doctoral
78
Master's
77
Bachelor's
2
Degree Name
Doctor of Philosophy (Ph.D.)
78
Master of Science (M.S.)
77
Honors Bachelor of Science (H.B.S.)
2
File Format
application/pdf
6
pdf
5
Language
English [eng]
157
License
All rights reserved
111
Non-Academic Affiliation
Oregon State University. Graduate School
88
Oregon State University. Honors College
2
Peer Reviewed
No
151
Resource Type
Dissertation
78
Masters Thesis
46
Capstone Project
31
Honors College Thesis
2
Rights Statement
In Copyright
141
Copyright Not Evaluated
16
Subject
Machine learning
14
Reinforcement learning
6
Markov processes
5
Algorithms
3
Artificial intelligence
3
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Subjects
»