Technical Reports

Browse Reports

Format: 2020
20-002 ReaLSAT: A new Reservoir and Lake Surface Area Timeseries Dataset created using machine learning and satellite imagery
20-001 Constellation Plan B Report
19-009 Linear Hotspot Discovery on All Simple Paths: A Summary of Results
19-008 UAV Landing at an Unknown Location Marked by a Radio Beacon
19-007 An Approximation Algorithm for Online Coverage Path Planning with the Energy Constraint
19-006 Open Science: GitHub Site Publication of Hotspot Algorithms
19-005 Turning a Corner with a Dubins Car
19-004 GLADD-R: A new Global Lake Dynamics Database for Reservoirs created using machine learning and satellite data
19-003 MESH: A Flexible Distributed Hypergraph Processing System
19-002 Physics Guided RNNs for Modeling Dynamical Systems: A Case Study in Simulating Lake Temperature Profiles
19-001 An Investigation of Composable Language Extensions for Parallel Programming
18-017 Adaptive View Planning for Aerial 3D Reconstruction
18-016 Asynchronous Network Formation in Unknown Unbounded Environments
18-015 Turning a Corner with a Dubins Car
18-014 Computer Aided Diagnosis of Skin Lesions from Morphological Features
18-013 An Introduction to Spatial Data Mining
18-012 On Applications of GANs and Their Latent Representations
18-011 Snakes in a Plant: 3D Reconstruction of Foliage using Tethered Active Contours
18-010 Local Latent Space Models for Top-N Recommendation Appendix
18-009 Learning Course Sequencing for Course Recommendation
18-008 Registering Reconstructions of the Two Sides of Fruit Tree Rows
18-007 Safety Annex for the Architecture Analysis and Design Language
18-006 Tree Morphology for Phenotyping from Semantics-Based Mapping in Orchard Environments
18-005 Approximation Algorithms for Tours of Orientation-varying View Cones
18-004 Coverage path planning under the energy constraint
18-003 Finding Novel Multivariate Relationships in Time Series Data: Applications to Climate and Neuroscience
18-002 A Cautionary Note on Decadal Sea Level Pressure Predictions from GCMs
18-001 Classifying multivariate time series by learning sequence-level discriminative patterns
17-014 Transdisciplinary Foundations of Geospatial Data Science
17-013 Design of a Location-based Publish/Subscribe Service using a Graph-based Computing Model
17-012 Classifying multivariate time series by learning sequence-level discriminative patterns
17-011 MESH: A Flexible Distributed Hypergraph Processing System
17-010 Accelerating the Tucker Decomposition with Compressed Sparse Tensors
17-009 Reliable and automatic composition of language extensions to C - Supplemental Material
17-008 Toward Rigorous Object-Code Coverage Criteria
17-007 Multiple Instance Learning for bags with Ordered instances
17-006 Sparse Tensor Factorization on Many-Core Processors with High-Bandwidth Memory
17-005 Investigation of a Transactional Model for Incremental Parallel Computing in Dynamic Graphs
17-004 Aerial Radio-based Telemetry for Tracking Wildlife
17-003 Mining Electronic Health Records : A Survey
17-002 Data-Driven Variation for Virtual Facial Expressions
17-001 Cumulative Knowledge-based Regression Models for Next-term Grade Prediction
16-038 MESH: A Flexible Distributed Hypergraph Processing System
16-037 Significant Linear Hotspot Discovery
16-036 Bit-Vector Model Counting using Statistical Estimation
16-035 Exerting Fine-Grained Path Control over Legacy Switches in Hybrid Networks
16-034 Big Data and Recommender Systems
16-033 Supply-Demand Ratio and On-Demand Spatial Service Brokers
16-032 Mapping Burned Areas in Tropical forests using MODIS data
16-031 Crime Hotspot Detection: A Computational Perspective