Adaptive Independence Tests with Geo-Topological Transformation. An efficient $k$-means-type algorithm for clustering datasets with incomplete records. Roster Evaluation Based on Classifiers for the Nurse Rostering Problem. Efficient Principal Subspace Projection of Streaming Data Through Fast Similarity Matching. Robust Spectral Filtering and Anom …

Visual Referring Expression Recognition: What Do Systems Actually Learn?. Correspondence of Deep Neural Networks and the Brain for Visual Textures. Short-term Load Forecasting with Deep Residual Networks. Attention-based Deep Multiple Instance Learning. Stroke Controllable Fast Style Transfer with Adaptive Receptive Fields. Sliced-Wasserstein Flows …

Defining the Collective Intelligence Supply Chain. Learning from the Kernel and the Range Space. Gaussian Mixture Generative Adversarial Networks for Diverse Datasets, and the Unsupervised Clustering of Images. Classification of load forecasting studies by forecasting problem to select load forecasting techniques and methodologies. The Concept of C …

VC-Dimension Based Generalization Bounds for Relational Learning. Predictive Performance Modeling for Distributed Computing using Black-Box Monitoring and Machine Learning. Split learning for health: Distributed deep learning without sharing raw patient data. How deep is deep enough? – Quantifying class separability in the hidden layers of deep ne …

Temporal Information Extraction by Predicting Relative Time-lines. How Many Pairwise Preferences Do We Need to Rank A Graph Consistently?. Interactive in-base street model edit: how common GIS software and a database can serve as a custom Graphical User Interface. FA-RPN: Floating Region Proposals for Face Detection. Sensitivity and Generalization …

Average Size of Implicational Bases. Generating Synthetic but Plausible Healthcare Record Datasets. ClickBAIT-v2: Training an Object Detector in Real-Time. Bayesian Action Decoder for Deep Multi-Agent Reinforcement Learning. On Deep Neural Networks for Detecting Heart Disease. Brain-inspired photonic signal processor for periodic pattern generation …

Deep Learning on Key Performance Indicators for Predictive Maintenance in SAP HANA. A Hybrid Distribution Feeder Long-Term Load Forecasting Method Based on Sequence Prediction. REGMAPR - Text Matching Made Easy. A Semantic Model for Historical Manuscripts. What might matter in autonomous cars adoption: first person versus third person scenarios. A …

Learning Representations in Model-Free Hierarchical Reinforcement Learning. Electric Vehicle Driver Clustering using Statistical Model and Machine Learning. Deep Curiosity Search: Intra-Life Exploration Can Improve Performance on Challenging Deep Reinforcement Learning Problems. Observe and Look Further: Achieving Consistent Performance on Atari. H …

BPE and CharCNNs for Translation of Morphology: A Cross-Lingual Comparison and Analysis. PROPEL: Probabilistic Parametric Regression Loss for Convolutional Neural Networks. OptStream: Releasing Time Series Privately. Image Captioning based on Deep Reinforcement Learning. Towards End-to-End Code-Switching Speech Recognition. A Progressively-trained …

Short Term Load Forecasting Using Deep Neural Networks. Unsupervised Meta-Learning for Reinforcement Learning. Suggesting Cooking Recipes Through Simulation and Bayesian Optimization. High-confidence error estimates for learned value functions. Multichannel Sound Event Detection Using 3D Convolutional Neural Networks for Learning Inter-channel Feat …