Mortality Prediction

Paper Group AWR 203

February 1, 2020

Auto-ReID: Searching for a Part-aware ConvNet for Person Re-Identification. Dynamic Measurement Scheduling for Event Forecasting using Deep RL. STAR: A Concise Deep Learning Framework for Citywide Human Mobility Prediction. QATM: Quality-Aware Template Matching For Deep Learning. Single Path One-Shot Neural Architecture Search with Uniform Sampling …

Paper Group AWR 273

February 1, 2020

Demand Forecasting from Spatiotemporal Data with Graph Networks and Temporal-Guided Embedding. Supervised Online Hashing via Hadamard Codebook Learning. Reconstructing continuous distributions of 3D protein structure from cryo-EM images. Node Embedding over Temporal Graphs. Minibatch Processing in Spiking Neural Networks. Improving Neural Response …

Paper Group AWR 285

February 1, 2020

Deep Fusion Network for Image Completion. Contextual Imagined Goals for Self-Supervised Robotic Learning. Noise Robust Generative Adversarial Networks. Generative Collaborative Networks for Single Image Super-Resolution. How Can We Make GAN Perform Better in Single Medical Image Super-Resolution? A Lesion Focused Multi-Scale Approach. RaFM: Rank-Aw …

Paper Group AWR 300

February 1, 2020

Label Embedded Dictionary Learning for Image Classification. Content Differences in Syntactic and Semantic Representations. A Deep Generative Model for Graph Layout. Mining Discourse Markers for Unsupervised Sentence Representation Learning. Re-examination of the Role of Latent Variables in Sequence Modeling. A Multi-task Learning Model for Chinese …

Paper Group ANR 160

January 31, 2020

Sentiment analysis model for Twitter data in Polish language. Hierarchical Semantic Correspondence Learning for Post-Discharge Patient Mortality Prediction. Performance Evaluation of Supervised Machine Learning Techniques for Efficient Detection of Emotions from Online Content. Online Multi-target regression trees with stacked leaf models. Learning …

Paper Group AWR 373

January 31, 2020

Are We Making Real Progress in Simulated Environments? Measuring the Sim2Real Gap in Embodied Visual Navigation. Temporal Convolution for Real-time Keyword Spotting on Mobile Devices. The Spectral Bias of the Deep Image Prior. Differentiable Physics-informed Graph Networks. ViP: Video Platform for PyTorch. Software architecture for YOLO, a creativi …

Paper Group ANR 284

January 30, 2020

Architectural Tricks for Deep Learning in Remote Photoplethysmography. Semantically Driven Auto-completion. Infant Mortality Prediction using Birth Certificate Data. Pre-train, Interact, Fine-tune: A Novel Interaction Representation for Text Classification. Deep Plug-and-Play Prior for Parallel MRI Reconstruction. Improved Reinforcement Learning th …

Paper Group ANR 552

January 29, 2020

Finding Salient Context based on Semantic Matching for Relevance Ranking. FAT-DeepFFM: Field Attentive Deep Field-aware Factorization Machine. Distinction Graphs and Graphtropy: A Formalized Phenomenological Layer Underlying Classical and Quantum Entropy, Observational Semantics and Cognitive Computation. Three Dimensional Route Planning for Multip …

Paper Group ANR 606

January 29, 2020

Toward Filament Segmentation Using Deep Neural Networks. Online Learning in Planar Pushing with Combined Prediction Model. NLVR2 Visual Bias Analysis. Convergence to minima for the continuous version of Backtracking Gradient Descent. Local Geometric Indexing of High Resolution Data for Facial Reconstruction from Sparse Markers. AI and Holistic Revi …

Paper Group ANR 682

January 29, 2020

Not Enough Data? Deep Learning to the Rescue!. Approximate LSTMs for Time-Constrained Inference: Enabling Fast Reaction in Self-Driving Cars. FeCaffe: FPGA-enabled Caffe with OpenCL for Deep Learning Training and Inference on Intel Stratix 10. Massively Parallel Benders Decomposition for Correlation Clustering. Locally Linear Image Structural Embed …

Paper Group ANR 738

January 29, 2020

Beyond Photo Realism for Domain Adaptation from Synthetic Data. Fast, Small, and Simple Document Listing on Repetitive Text Collections. Online Regularization by Denoising with Applications to Phase Retrieval. A Streaming Analytics Language for Processing Cyber Data. LIA: Latently Invertible Autoencoder with Adversarial Learning. On the Anomalous G …

Paper Group ANR 739

January 29, 2020

Prediction of Malignant & Benign Breast Cancer: A Data Mining Approach in Healthcare Applications. Time-Guided High-Order Attention Model of Longitudinal Heterogeneous Healthcare Data. Towards Automatic Bot Detection in Twitter for Health-related Tasks. Long-length Legal Document Classification. 3D Geometric salient patterns analysis on 3D meshes. …

Paper Group ANR 1149

January 27, 2020

On Boosting Semantic Street Scene Segmentation with Weak Supervision. Intra-clip Aggregation for Video Person Re-identification. Bridging Stereo Matching and Optical Flow via Spatiotemporal Correspondence. Multi-Scale Body-Part Mask Guided Attention for Person Re-identification. Person Re-identification with Metric Learning using Privileged Informa …

Paper Group ANR 1368

January 26, 2020

PyHessian: Neural Networks Through the Lens of the Hessian. Variational Conditional GAN for Fine-grained Controllable Image Generation. Fourier-CPPNs for Image Synthesis. Spatial-Aware Non-Local Attention for Fashion Landmark Detection. Capacity allocation through neural network layers. Ranking architectures using meta-learning. Drug-Drug Adverse E …

Paper Group ANR 1384

January 26, 2020

SMIX($λ$): Enhancing Centralized Value Functions for Cooperative Multi-Agent Reinforcement Learning. Neural Network-based Equalizer by Utilizing Coding Gain in Advance. Capturing Evolution Genes for Time Series Data. Medical Concept Representation Learning from Claims Data and Application to Health Plan Payment Risk Adjustment. Inference of a Multi …

Paper Group ANR 1489

January 26, 2020

On the statistical evaluation of algorithmic’s computational experimentation with infeasible solutions. Orthogonal Nonnegative Tucker Decomposition. Revisiting the Approximate Carathéodory Problem via the Frank-Wolfe Algorithm. Deep neural networks can predict mortality from 12-lead electrocardiogram voltage data. Prediction Modeling and Analysis f …

Paper Group ANR 1594

January 26, 2020

Higher-order Weighted Graph Convolutional Networks. Progressive VAE Training on Highly Sparse and Imbalanced Data. IAN: Combining Generative Adversarial Networks for Imaginative Face Generation. Spatially regularized active diffusion learning for high-dimensional images. An Overview of Open-Ended Evolution: Editorial Introduction to the Open-Ended …

Paper Group ANR 1595

January 26, 2020

Points2Pix: 3D Point-Cloud to Image Translation using conditional Generative Adversarial Networks. Benchmarking machine learning models on eICU critical care dataset. Learning Super-resolution 3D Segmentation of Plant Root MRI Images from Few Examples. Revisiting Self-Training for Neural Sequence Generation. Controversial stimuli: pitting neural ne …

Paper Group ANR 1596

January 26, 2020

Online Learning over Dynamic Graphs via Distributed Proximal Gradient Algorithm. How far are we from quantifying visual attention in mobile HCI?. Personalization of End-to-end Speech Recognition On Mobile Devices For Named Entities. Prediction of Physical Load Level by Machine Learning Analysis of Heart Activity after Exercises. On the Utility of M …

Paper Group ANR 1597

January 26, 2020

Temporal-Clustering Invariance in Irregular Healthcare Time Series. V2S attack: building DNN-based voice conversion from automatic speaker verification. Cost-sensitive Selection of Variables by Ensemble of Model Sequences. Automated Peer-to-peer Negotiation for Energy Contract Settlements in Residential Cooperatives. Benchmarking air-conditioning e …

Paper Group NAWR 28

January 25, 2020

MARS: Motion-Augmented RGB Stream for Action Recognition. SMILe: Scalable Meta Inverse Reinforcement Learning through Context-Conditional Policies. Generalized Block-Diagonal Structure Pursuit: Learning Soft Latent Task Assignment against Negative Transfer. Exploiting Spatial-Temporal Relationships for 3D Pose Estimation via Graph Convolutional Net …

Paper Group NANR 200

January 24, 2020

Accidental exploration through value predictors. Polarimetric Relative Pose Estimation. Hyper-Regularization: An Adaptive Choice for the Learning Rate in Gradient Descent. A Context-based Framework for Modeling the Role and Function of On-line Resource Citations in Scientific Literature. Knowledge-Aware Deep Dual Networks for Text-Based Mortality P …