[PAPER]@Telematika

Awesome Open-Access Papers

Paper Group ANR 212
April 2, 2020

Paper Group ANR 212

Fully reversible neural networks for large-scale surface and sub-surface characterization via remote sensing. Boosting Deep Face Recognition via Disentangling Appearance and Geometry. Robust Facial Landmark Detection via Aggregation on Geometrically Manipulated Faces. SalsaNext: Fast Semantic Segmentation of LiDAR Point Clouds for Autonomous Drivin …

Paper Group ANR 213

Paper Group ANR 213

April 2, 2020

Incorporating Effective Global Information via Adaptive Gate Attention for Text Classification. Tree-structured Attention with Hierarchical Accumulation. Deep Learning Tubes for Tube MPC. FRESH: Interactive Reward Shaping in High-Dimensional State Spaces using Human Feedback. Weakly Supervised 3D Hand Pose Estimation via Biomechanical Constraints. …
Paper Group ANR 214

Paper Group ANR 214

April 2, 2020

Neighborhood-based Pooling for Population-level Label Distribution Learning. Automatic phantom test pattern classification through transfer learning with deep neural networks. SUPAID: A Rule mining based method for automatic rollout decision aid for supervisors in fleet management systems. Predicting Semantic Map Representations from Images using P …
Paper Group ANR 215

Paper Group ANR 215

April 2, 2020

Deep Quaternion Features for Privacy Protection. EHSOD: CAM-Guided End-to-end Hybrid-Supervised Object Detection with Cascade Refinement. Discernible Compressed Images via Deep Perception Consistency. Deep Domain Adaptive Object Detection: a Survey. Local Facial Attribute Transfer through Inpainting. A hybrid optimization procedure for solving a ti …
Paper Group ANR 216

Paper Group ANR 216

April 2, 2020

TREC CAsT 2019: The Conversational Assistance Track Overview. Multi-task Learning with Multi-head Attention for Multi-choice Reading Comprehension. Incorporating BERT into Neural Machine Translation. Demographic Bias in Presentation Attack Detection of Iris Recognition Systems. Robust Iris Presentation Attack Detection Fusing 2D and 3D Information. …
Paper Group ANR 217

Paper Group ANR 217

April 2, 2020

Hierarchical Auto-Regressive Model for Image Compression Incorporating Object Saliency and a Deep Perceptual Loss. Neural Networks for Encoding Dynamic Security-Constrained Optimal Power Flow to Mixed-Integer Linear Programs. Uncertainty Estimation for End-To-End Learned Dense Stereo Matching via Probabilistic Deep Learning. A hybrid algorithm for …
Paper Group ANR 218

Paper Group ANR 218

April 2, 2020

Derivation of QUBO formulations for sparse estimation. ShadowSync: Performing Synchronization in the Background for Highly Scalable Distributed Training. Deep Time-Stream Framework for Click-Through Rate Prediction by Tracking Interest Evolution. Predictions of 2019-nCoV Transmission Ending via Comprehensive Methods. Investigating Potential Factors …
Paper Group ANR 219

Paper Group ANR 219

April 2, 2020

LeafGAN: An Effective Data Augmentation Method for Practical Plant Disease Diagnosis. Deep Sigma Point Processes. Short Term Blood Glucose Prediction based on Continuous Glucose Monitoring Data. Knot Selection in Sparse Gaussian Processes. Fast Depth Estimation for View Synthesis. Weakly-supervised Multi-output Regression via Correlated Gaussian Pr …
Paper Group ANR 220

Paper Group ANR 220

April 2, 2020

Retrospective Reader for Machine Reading Comprehension. Uncertainty Quantification for Demand Prediction in Contextual Dynamic Pricing. Investigating Software Usage in the Social Sciences: A Knowledge Graph Approach. Is Aligning Embedding Spaces a Challenging Task? An Analysis of the Existing Methods. Assortment Optimization with Repeated Exposures …
Paper Group ANR 221

Paper Group ANR 221

April 2, 2020

Spatial-Temporal Multi-Cue Network for Continuous Sign Language Recognition. A tutorial on the range variant of asymmetric numeral systems. On a Generalization of the Average Distance Classifier. Performance Analysis and Comparison of Machine and Deep Learning Algorithms for IoT Data Classification. Rethinking Sparse Gaussian Processes: Bayesian Ap …
Paper Group ANR 222

Paper Group ANR 222

April 2, 2020

FedRec: Privacy-Preserving News Recommendation with Federated Learning. Anticipatory Psychological Models for Quickest Change Detection: Human Sensor Interaction. BBAND Index: A No-Reference Banding Artifact Predictor. Are You Satisfied by This Partial Assignment?. FGSD: A Dataset for Fine-Grained Ship Detection in High Resolution Satellite Images. …
Paper Group ANR 223

Paper Group ANR 223

April 2, 2020

Reservoir computing model of two-dimensional turbulent convection. Contextual Constrained Learning for Dose-Finding Clinical Trials. A Theory of Usable Information Under Computational Constraints. Fairness in ad auctions through inverse proportionality. Practical Annotation Strategies for Question Answering Datasets. Differentially Private k-Means …
Paper Group ANR 224

Paper Group ANR 224

April 2, 2020

Normalizing Flows on Tori and Spheres. Provably Efficient Adaptive Approximate Policy Iteration. How Much Position Information Do Convolutional Neural Networks Encode?. Prior-enlightened and Motion-robust Video Deblurring. Gender Genetic Algorithm in the Dynamic Optimization Problem. Computer-inspired Quantum Experiments. Real-World Human-Robot Col …
Paper Group ANR 225

Paper Group ANR 225

April 2, 2020

IoT Network Behavioral Fingerprint Inference with Limited Network Trace for Cyber Investigation: A Meta Learning Approach. Optimisation of Large Wave Farms using a Multi-strategy Evolutionary Framework. Robust Policy Search for Robot Navigation with Stochastic Meta-Policies. CNN-based Repetitive self-revised learning for photos’ aesthetics imbalanc …
Paper Group ANR 226

Paper Group ANR 226

April 2, 2020

Ranking a set of objects: a graph based least-square approach. MTL-NAS: Task-Agnostic Neural Architecture Search towards General-Purpose Multi-Task Learning. Active Preference Elicitation via Adjustable Robust Optimization. Multi-Task Reinforcement Learning with Soft Modularization. Learned Weight Sharing for Deep Multi-Task Learning by Natural Evo …
Paper Group ANR 227

Paper Group ANR 227

April 2, 2020

Multi-task Learning with Coarse Priors for Robust Part-aware Person Re-identification. Interpretability of machine learning based prediction models in healthcare. DisCor: Corrective Feedback in Reinforcement Learning via Distribution Correction. Multiple Imputation with Denoising Autoencoder using Metamorphic Truth and Imputation Feedback. Thompson …
Paper Group ANR 228

Paper Group ANR 228

April 2, 2020

Shared Task: Lexical Semantic Change Detection in German. Learning to Detect Malicious Clients for Robust Federated Learning. Evaluating Registration Without Ground Truth. Identifying Audio Adversarial Examples via Anomalous Pattern Detection. Iterative energy-based projection on a normal data manifold for anomaly localization. Batch Normalization …
Paper Group ANR 229

Paper Group ANR 229

April 2, 2020

Scalable Approximate Inference and Some Applications. A Human-Centered Review of the Algorithms used within the U.S. Child Welfare System. Causal Interaction Trees: Tree-Based Subgroup Identification for Observational Data. Safe Reinforcement Learning of Control-Affine Systems with Vertex Networks. Channel Assignment in Uplink Wireless Communicatio …
Paper Group ANR 230

Paper Group ANR 230

April 2, 2020

Federated Learning for Resource-Constrained IoT Devices: Panoramas and State-of-the-art. Adaptive strategy in differential evolution via explicit exploitation and exploration controls. Fast, Compact and Highly Scalable Visual Place Recognition through Sequence-based Matching of Overloaded Representations. On Reinforcement Learning for Turn-based Ze …
Paper Group ANR 231

Paper Group ANR 231

April 2, 2020

RobustTAD: Robust Time Series Anomaly Detection via Decomposition and Convolutional Neural Networks. Predictive online optimisation with applications to optical flow. Depth Map Estimation of Dynamic Scenes Using Prior Depth Information. Multi-Modal Domain Adaptation for Fine-Grained Action Recognition. A Model-Based Derivative-Free Approach to Blac …
Paper Group ANR 232

Paper Group ANR 232

April 2, 2020

$μ$VulDeePecker: A Deep Learning-Based System for Multiclass Vulnerability Detection. A Spiking Neural Network Emulating the Structure of the Oculomotor System Requires No Learning to Control a Biomimetic Robotic Head. Efficient and Robust Algorithms for Adversarial Linear Contextual Bandits. Activism by the AI Community: Analysing Recent Achieveme …
Paper Group ANR 233

Paper Group ANR 233

April 2, 2020

Unsupervised Pidgin Text Generation By Pivoting English Data and Self-Training. Coronary Wall Segmentation in CCTA Scans via a Hybrid Net with Contours Regularization. Extracting dispersion curves from ambient noise correlations using deep learning. Differentiating through the Fréchet Mean. Classification of Chest Diseases using Wavelet Transforms …
Paper Group ANR 234

Paper Group ANR 234

April 2, 2020

Using machine learning to speed up new and upgrade detector studies: a calorimeter case. Predicting Stock Returns with Batched AROW. Ultra High Fidelity Image Compression with $\ell_\infty$-constrained Encoding and Deep Decoding. An Inverse-free Truncated Rayleigh-Ritz Method for Sparse Generalized Eigenvalue Problem. SAFE: Scalable Automatic Featu …
Paper Group ANR 235

Paper Group ANR 235

April 2, 2020

Neural Attentive Multiview Machines. V4D:4D Convolutional Neural Networks for Video-level Representation Learning. MRI Banding Removal via Adversarial Training. A comprehensive review on convolutional neural network in machine fault diagnosis. Towards High Performance, Portability, and Productivity: Lightweight Augmented Neural Networks for Perform …
Paper Group ANR 236

Paper Group ANR 236

April 2, 2020

A Sample Selection Approach for Universal Domain Adaptation. Lifting Interpretability-Performance Trade-off via Automated Feature Engineering. Compositional ADAM: An Adaptive Compositional Solver. Local Nonparametric Meta-Learning. Geometric Dataset Distances via Optimal Transport. Revisiting Meta-Learning as Supervised Learning. Learning to Recons …
Paper Group ANR 237

Paper Group ANR 237

April 2, 2020

An interpretable neural network model through piecewise linear approximation. A Maximum Likelihood Approach to Speed Estimation of Foreground Objects in Video Signals. Learning to Optimize Non-Rigid Tracking. Designing for the Long Tail of Machine Learning. Solving Area Coverage Problem with UAVs: A Vehicle Routing with Time Windows Variation. Deep …
Paper Group ANR 238

Paper Group ANR 238

April 2, 2020

Learning models of quantum systems from experiments. SwapText: Image Based Texts Transfer in Scenes. Everybody’s Talkin’: Let Me Talk as You Want. A working likelihood approach to support vector regression with a data-driven insensitivity parameter. Planning with Brain-inspired AI. Causal Inference With Selectively-Deconfounded Data. Learning to Le …
Paper Group ANR 239

Paper Group ANR 239

April 2, 2020

Investigating the influence Brexit had on Financial Markets, in particular the GBP/EUR exchange rate. Unsupervised Fuzzy eIX: Evolving Internal-eXternal Fuzzy Clustering. Graph4Code: A Machine Interpretable Knowledge Graph for Code. Emotion Recognition From Gait Analyses: Current Research and Future Directions. AI-Mediated Exchange Theory. Convolut …