2021 Ken Kennedy AI and Data Science Conference has ended

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2021 Ken Kennedy AI and Data Science Conference

10:00am CDT

Emu: Species-Level Microbial Community Profiling for Full-Length Nanopore 16S Reads

10:15am CDT

Co-Manifold Learning

10:30am CDT

Random-Walk Based Graph Representation Learning Revisited

11:00am CDT

Multi-Task Deep Learning Framework for Sales Forecasting and Product Recommendation

11:15am CDT

Using Visual Feature Space as a Pivot Across Languages

11:30am CDT

Math Word Problem Generation with Mathematical Consistency and Problem Context Constraints

11:45am CDT

Multi-Task Learning for Demand Prediction Through a Hyper-Network

1:00pm CDT

ShiftAddNet: A Hardware-Inspired Deep Network

1:15pm CDT

Neural Architecture Search for Inversion

1:30pm CDT

Generalized Zero-Shot Learning via Normalizing Flows

2:00pm CDT

Explainable Deep Learning Approaches to Predict Development of Brain Metastases in Patients with Lung Cancer Using Electronic Health Records

2:15pm CDT

Deep Learning-Based Blood Glucose Predictors In Type 1 Diabetes

2:30pm CDT

MLPrE – A Tool for Preprocessing Data and Conducting Exploratory Data Analysis Prior to Machine Learning Model Construction

2:45pm CDT

Diabetes Management in Underserved Communities: Data-Driven Insights from Continuous Glucose Monitoring

3:00pm CDT

SeqScreen: Accurate and Sensitive Functional Screening of Pathogenic Sequences via Ensemble Learning - Auditorium Auditorium

3:15pm CDT

Parallel RRT Algorithm for Robotic Motion Planning Auditorium

3:30pm CDT

MaGNET: Uniform Sampling from Deep Generative Network Manifolds without Retraining - Auditorium Auditorium

3:45pm CDT

Magnified Convolutional Enrichment Representation Model - Auditorium Auditorium

4:00pm CDT

PipeGCN: Efficient Full-Graph Training of Graph Convolutional Networks with Pipelined Feature Communication - Auditorium Auditorium

4:15pm CDT

Quantification of Myxococcus Xanthus Aggregation and Rippling Behaviors: Deep-Learning Transformation of Phase-Contrast into Fluorescence Microscopy Images - Auditorium Auditorium