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P ≈ NP, at least in Visual Question Answering
In recent years, progress in the Visual Question Answering (VQA) field h...
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Explaining AI-based Decision Support Systems using Concept Localization Maps
Human-centric explainability of AI-based Decision Support Systems (DSS) ...
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SVIRO: Synthetic Vehicle Interior Rear Seat Occupancy Dataset and Benchmark
We release SVIRO, a synthetic dataset for sceneries in the passenger com...
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Light-Weighted CNN for Text Classification
For management, documents are categorized into a specific category, and ...
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Illumination Normalization by Partially Impossible Encoder-Decoder Cost Function
Images recorded during the lifetime of computer vision based systems und...
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Rapid Light Field Depth Estimation with Semi-Global Matching
Running time of the light field depth estimation algorithms is typically...
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A Compact Light Field Camera for Real-Time Depth Estimation
Depth cameras are utilized in many applications. Recently light field ap...
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Surface Defect Classification in Real-Time Using Convolutional Neural Networks
Surface inspection systems are an important application domain for compu...
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On decision regions of narrow deep neural networks
We show that for neural network functions that have width less or equal ...
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Neural Question Answering at BioASQ 5B
This paper describes our submission to the 2017 BioASQ challenge. We par...
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Neural Domain Adaptation for Biomedical Question Answering
Factoid question answering (QA) has recently benefited from the developm...
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Dynamic Integration of Background Knowledge in Neural NLU Systems
Common-sense or background knowledge is required to understand natural l...
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Making Neural QA as Simple as Possible but not Simpler
Recent development of large-scale question answering (QA) datasets trigg...
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Fine-tuning deep CNN models on specific MS COCO categories
Fine-tuning of a deep convolutional neural network (CNN) is often desire...
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CNN-based Patch Matching for Optical Flow with Thresholded Hinge Embedding Loss
Learning based approaches have not yet achieved their full potential in ...
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Separating Answers from Queries for Neural Reading Comprehension
We present a novel neural architecture for answering queries, designed t...
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Neural Associative Memory for Dual-Sequence Modeling
Many important NLP problems can be posed as dual-sequence or sequence-to...
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MuFuRU: The Multi-Function Recurrent Unit
Recurrent neural networks such as the GRU and LSTM found wide adoption i...
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Multi-Task Learning for Segmentation of Building Footprints with Deep Neural Networks
The increased availability of high resolution satellite imagery allows t...
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Symbol Grounding Association in Multimodal Sequences with Missing Elements
In this paper, we extend a symbolic association framework for being able...
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A Novel Approach for Data-Driven Automatic Site Recommendation and Selection
This paper presents a novel, generic, and automatic method for data-driv...
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Self-Adaptation of Activity Recognition Systems to New Sensors
Traditional activity recognition systems work on the basis of training, ...
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Judging a Book By its Cover
Book covers communicate information to potential readers, but can that s...
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Towards a New Science of a Clinical Data Intelligence
In this paper we define Clinical Data Intelligence as the analysis of da...
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Active Canny: Edge Detection and Recovery with Open Active Contour Models
We introduce an edge detection and recovery framework based on open acti...
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Algebraic Properties of Qualitative Spatio-Temporal Calculi
Qualitative spatial and temporal reasoning is based on so-called qualita...
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The Distributed Ontology Language (DOL): Use Cases, Syntax, and Extensibility
The Distributed Ontology Language (DOL) is currently being standardized ...
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Qualitative Reasoning about Relative Direction on Adjustable Levels of Granularity
An important issue in Qualitative Spatial Reasoning is the representatio...
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Dimensions of Formality: A Case Study for MKM in Software Engineering
We study the formalization of a collection of documents created for a So...
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Named Models in Coalgebraic Hybrid Logic
Hybrid logic extends modal logic with support for reasoning about indivi...
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Comparison and Combination of State-of-the-art Techniques for Handwritten Character Recognition: Topping the MNIST Benchmark
Although the recognition of isolated handwritten digits has been a resea...
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Clickbait Identification using Neural Networks
This paper presents the results of our participation in the Clickbait De...
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Sentence-level quality estimation by predicting HTER as a multi-component metric
This submission investigates alternative machine learning models for pre...
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An Empirical Analysis of NMT-Derived Interlingual Embeddings and their Use in Parallel Sentence Identification
End-to-end neural machine translation has overtaken statistical machine ...
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How Robust Are Character-Based Word Embeddings in Tagging and MT Against Wrod Scramlbing or Randdm Nouse?
This paper investigates the robustness of NLP against perturbed word for...
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Modeling Language Change in Historical Corpora: The Case of Portuguese
This paper presents a number of experiments to model changes in a histor...
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AudioPairBank: Towards A Large-Scale Tag-Pair-Based Audio Content Analysis
Recently, sound recognition has been used to identify sounds, such as ca...
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Mapping Images to Sentiment Adjective Noun Pairs with Factorized Neural Nets
We consider the visual sentiment task of mapping an image to an adjectiv...
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Providing Physical Layer Security for Mission Critical Machine Type Communication
The design of wireless systems for Mission Critical Machine Type Communi...
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TSViz: Demystification of Deep Learning Models for Time-Series Analysis
This paper presents a novel framework for demystification of convolution...
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A Survey on Deep Learning Toolkits and Libraries for Intelligent User Interfaces
This paper provides an overview of prominent deep learning toolkits and,...
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An Easy & Collaborative RDF Data Entry Method using the Spreadsheet Metaphor
Spreadsheets are widely used by knowledge workers, especially in the ind...
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An AI-driven Malfunction Detection Concept for NFV Instances in 5G
Efficient network management is one of the key challenges of the constan...
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LightRel SemEval-2018 Task 7: Lightweight and Fast Relation Classification
We present LightRel, a lightweight and fast relation classifier. Our goa...
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Simplified SPARQL REST API - CRUD on JSON Object Graphs via URI Paths
Within the Semantic Web community, SPARQL is one of the predominant lang...
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Deep Linking Desktop Resources
Deep Linking is the process of referring to a specific piece of web cont...
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Robust Model-Aided Inertial Localization for Autonomous Underwater Vehicles
This paper presents a manifold based Unscented Kalman Filter that applie...
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Towards Semantically Enhanced Data Understanding
In the field of machine learning, data understanding is the practice of ...
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The Structure of Service Level Agreement of Slice-based 5G Network
Network slicing is considered to be one of the key enablers to Fifth Gen...
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Modeling and Soft-fault Diagnosis of Underwater Thrusters with Recurrent Neural Networks
Noncritical soft-faults and model deviations are a challenge for Fault D...
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