OntoScene, A Logic-based Scene Interpreter: Implementation and Application in the Rock Art Domain. Efficient Deep Neural Networks. Wasserstein total variation filtering. Audio-Visual Embodied Navigation. Non-Monotone Submodular Maximization with Multiple Knapsacks in Static and Dynamic Settings. AnimalWeb: A Large-Scale Hierarchical Dataset of Anno …

Large scale representation learning from triplet comparisons. High Sensitivity Snapshot Spectrometer Based on Deep Network Unmixing. Trading via Image Classification. Clone Swarms: Learning to Predict and Control Multi-Robot Systems by Imitation. Learning Interpretable Shapelets for Time Series Classification through Adversarial Regularization. Mul …

Weightless Neural Network with Transfer Learning to Detect Distress in Asphalt. A Distributed Approach to LARS Stream Reasoning (System paper). Recommending research articles to consumers of online vaccination information. Discovery of Important Subsequences in Electrocardiogram Beats Using the Nearest Neighbour Algorithm. Multi-Vehicle Mixed-Reali …

Content Word-based Sentence Decoding and Evaluating for Open-domain Neural Response Generation. Analysis and Extension of the Evidential Reasoning Algorithm for Multiple Attribute Decision Analysis with Uncertainty. Unsupervised Representation Learning by Predicting Random Distances. A general anomaly detection framework for fleet-based condition m …

Deep Reasoning with Multi-Scale Context for Salient Object Detection. Mixed Precision DNNs: All you need is a good parametrization. Neural network gradient-based learning of black-box function interfaces. Attentive CT Lesion Detection Using Deep Pyramid Inference with Multi-Scale Booster. Salient Object Detection with Lossless Feature Reflection an …

Learning ASR-Robust Contextualized Embeddings for Spoken Language Understanding. Autonomous Highway Driving using Deep Reinforcement Learning. Accelerometer-Based Gait Segmentation: Simultaneously User and Adversary Identification. A Commentary on “Breaking Row and Column Symmetries in Matrix Models”. Transfer Learning-Based Outdoor Position Recove …

Multimodal Multitask Representation Learning for Pathology Biobank Metadata Prediction. Evolvability ES: Scalable and Direct Optimization of Evolvability. BUZz: BUffer Zones for defending adversarial examples in image classification. Computing Nonlinear Eigenfunctions via Gradient Flow Extinction. Compression and Localization in Reinforcement Learn …

An overlapping-free leaf segmentation method for plant point clouds. Modular Deep Learning Analysis of Galaxy-Scale Strong Lensing Images. Densely Connected Graph Convolutional Networks for Graph-to-Sequence Learning. Estimating People Flows to Better Count Them in Crowded Scenes. Evolutionary Computation, Optimization and Learning Algorithms for D …

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 …