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Multisource and Multitemporal Data Fusion in Remote Sensing
The sharp and recent increase in the availability of data captured by di...
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Domain-Aware Dialogue State Tracker for Multi-Domain Dialogue Systems
In task-oriented dialogue systems the dialogue state tracker (DST) compo...
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Progressive Fusion for Unsupervised Binocular Depth Estimation using Cycled Networks
Recent deep monocular depth estimation approaches based on supervised re...
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Gate-Shift Networks for Video Action Recognition
Deep 3D CNNs for video action recognition are designed to learn powerful...
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Integrating Acting, Planning and Learning in Hierarchical Operational Models
We present new planning and learning algorithms for RAE, the Refinement ...
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In-field grape berries counting for yield estimation using dilated CNNs
Digital technologies ignited a revolution in the agrifood domain known a...
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SemEval-2010 Task 8: Multi-Way Classification of Semantic Relations Between Pairs of Nominals
In response to the continuing research interest in computational semanti...
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Neural-Symbolic Computing: An Effective Methodology for Principled Integration of Machine Learning and Reasoning
Current advances in Artificial Intelligence and machine learning in gene...
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Breeding Gender-aware Direct Speech Translation Systems
In automatic speech translation (ST), traditional cascade approaches inv...
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Top-down Attention Recurrent VLAD Encoding for Action Recognition in Videos
Most recent approaches for action recognition from video leverage deep a...
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Gesture-to-Gesture Translation in the Wild via Category-Independent Conditional Maps
Recent works have shown Generative Adversarial Networks (GANs) to be par...
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Tractogram filtering of anatomically non-plausible fibers with geometric deep learning
Tractograms are virtual representations of the white matter fibers of th...
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On Knowledge Distillation for Direct Speech Translation
Direct speech translation (ST) has shown to be a complex task requiring ...
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Improving speech recognition by revising gated recurrent units
Speech recognition is largely taking advantage of deep learning, showing...
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Deep Learning for Automatic Stereotypical Motor Movement Detection using Wearable Sensors in Autism Spectrum Disorders
Autism Spectrum Disorders are associated with atypical movements, of whi...
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Phylogenetic Convolutional Neural Networks in Metagenomics
Background: Convolutional Neural Networks can be effectively used only w...
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Causality and Temporal Dependencies in the Design of Fault Management Systems
Reasoning about causes and effects naturally arises in the engineering o...
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Convolutional neural networks for structured omics: OmicsCNN and the OmicsConv layer
Convolutional Neural Networks (CNNs) are a popular deep learning archite...
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Towards learning domain-independent planning heuristics
Automated planning remains one of the most general paradigms in Artifici...
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Logic Tensor Networks: Deep Learning and Logical Reasoning from Data and Knowledge
We propose Logic Tensor Networks: a uniform framework for integrating au...
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Enhancing workflow-nets with data for trace completion
The growing adoption of IT-systems for modeling and executing (business)...
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Logic Tensor Networks for Semantic Image Interpretation
Semantic Image Interpretation (SII) is the task of extracting structured...
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Stigmergy-based modeling to discover urban activity patterns from positioning data
Positioning data offer a remarkable source of information to analyze cro...
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What your Facebook Profile Picture Reveals about your Personality
People spend considerable effort managing the impressions they give othe...
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On Coreferring Text-extracted Event Descriptions with the aid of Ontological Reasoning
Systems for automatic extraction of semantic information about events fr...
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Loss Max-Pooling for Semantic Image Segmentation
We introduce a novel loss max-pooling concept for handling imbalanced tr...
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Abducing Compliance of Incomplete Event Logs
The capability to store data about business processes execution in so-ca...
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Learning Cross-Modal Deep Representations for Robust Pedestrian Detection
This paper presents a novel method for detecting pedestrians under adver...
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Multi-Scale Continuous CRFs as Sequential Deep Networks for Monocular Depth Estimation
This paper addresses the problem of depth estimation from a single still...
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Generalized Compression Dictionary Distance as Universal Similarity Measure
We present a new similarity measure based on information theoretic measu...
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Structured Learning Modulo Theories
Modelling problems containing a mixture of Boolean and numerical variabl...
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Daily Stress Recognition from Mobile Phone Data, Weather Conditions and Individual Traits
Research has proven that stress reduces quality of life and causes many ...
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SALSA: A Novel Dataset for Multimodal Group Behavior Analysis
Studying free-standing conversational groups (FCGs) in unstructured soci...
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Minerva and minepy: a C engine for the MINE suite and its R, Python and MATLAB wrappers
We introduce a novel implementation in ANSI C of the MINE family of algo...
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mlpy: Machine Learning Python
mlpy is a Python Open Source Machine Learning library built on top of Nu...
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A unifying view for performance measures in multi-class prediction
In the last few years, many different performance measures have been int...
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Mixing representation levels: The hybrid approach to automatic text generation
Natural language generation systems (NLG) map non-linguistic representat...
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Contaminated speech training methods for robust DNN-HMM distant speech recognition
Despite the significant progress made in the last years, state-of-the-ar...
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Linguistically Motivated Vocabulary Reduction for Neural Machine Translation from Turkish to English
The necessity of using a fixed-size word vocabulary in order to control ...
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Automatic Quality Estimation for ASR System Combination
Recognizer Output Voting Error Reduction (ROVER) has been widely used fo...
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Fortia-FBK at SemEval-2017 Task 5: Bullish or Bearish? Inferring Sentiment towards Brands from Financial News Headlines
In this paper, we describe a methodology to infer Bullish or Bearish sen...
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DNN adaptation by automatic quality estimation of ASR hypotheses
In this paper we propose to exploit the automatic Quality Estimation (QE...
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Unsupervised Clustering of Commercial Domains for Adaptive Machine Translation
In this paper, we report on domain clustering in the ambit of an adaptiv...
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Grounding the Lexical Sets of Causative-Inchoative Verbs with Word Embedding
Lexical sets contain the words filling the argument positions of a verb ...
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Echoes of Persuasion: The Effect of Euphony in Persuasive Communication
While the effect of various lexical, syntactic, semantic and stylistic f...
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A Survey of Word Reordering in Statistical Machine Translation: Computational Models and Language Phenomena
Word reordering is one of the most difficult aspects of statistical mach...
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Coarse-grained Cross-lingual Alignment of Comparable Texts with Topic Models and Encyclopedic Knowledge
We present a method for coarse-grained cross-lingual alignment of compar...
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Realistic multi-microphone data simulation for distant speech recognition
The availability of realistic simulated corpora is of key importance for...
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Domain Objects and Microservices for Systems Development: a roadmap
This paper discusses a roadmap to investigate Domain Objects being an ad...
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Linear-time Temporal Logic with Event Freezing Functions
Formal properties represent a cornerstone of the system-correctness proo...
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