Fondazione Bruno Kessler

∙ Trento , Italy ∙ 0 followers

Fondazione Bruno Kessler is charged with keeping the province of Trento in the mainstream of European and international research. It does so by attracting women, men and resources at the forefront of technological development and humanities studies

Multisource and Multitemporal Data Fusion in Remote Sensing

The sharp and recent increase in the availability of data captured by di...
12/19/2018 ∙ by Pedram Ghamisi, et al. ∙ 14 ∙ share

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Gender Bias in Machine Translation

Machine translation (MT) technology has facilitated our daily tasks by p...
04/13/2021 ∙ by Beatrice Savoldi, et al. ∙ 14 ∙ share

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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...
01/21/2020 ∙ by Vevake Balaraman, et al. ∙ 13 ∙ share

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Progressive Fusion for Unsupervised Binocular Depth Estimation using Cycled Networks

Recent deep monocular depth estimation approaches based on supervised re...
09/17/2019 ∙ by Andrea Pilzer, et al. ∙ 12 ∙ share

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Gate-Shift Networks for Video Action Recognition

Deep 3D CNNs for video action recognition are designed to learn powerful...
12/01/2019 ∙ by Swathikiran Sudhakaran, et al. ∙ 12 ∙ share

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Integrating Acting, Planning and Learning in Hierarchical Operational Models

We present new planning and learning algorithms for RAE, the Refinement ...
03/09/2020 ∙ by Sunandita Patra, et al. ∙ 11 ∙ share

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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...
09/26/2019 ∙ by L. Coviello, et al. ∙ 8 ∙ share

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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...
11/23/2019 ∙ by Iris Hendrickx, et al. ∙ 6 ∙ share

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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...
05/15/2019 ∙ by Artur d'Avila Garcez, et al. ∙ 3 ∙ share

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Breeding Gender-aware Direct Speech Translation Systems

In automatic speech translation (ST), traditional cascade approaches inv...
12/09/2020 ∙ by Marco Gaido, et al. ∙ 3 ∙ share

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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...
08/29/2018 ∙ by Swathikiran Sudhakaran, et al. ∙ 2 ∙ share

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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...
07/12/2019 ∙ by Yahui Liu, et al. ∙ 1 ∙ share

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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...
03/24/2020 ∙ by Pietro Astolfi, et al. ∙ 1 ∙ share

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On Knowledge Distillation for Direct Speech Translation

Direct speech translation (ST) has shown to be a complex task requiring ...
12/09/2020 ∙ by Marco Gaido, et al. ∙ 1 ∙ share

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Improving speech recognition by revising gated recurrent units

Speech recognition is largely taking advantage of deep learning, showing...
09/29/2017 ∙ by Mirco Ravanelli, et al. ∙ 0 ∙ share

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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...
09/14/2017 ∙ by Nastaran Mohammadian Rad, et al. ∙ 0 ∙ share

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Phylogenetic Convolutional Neural Networks in Metagenomics

Background: Convolutional Neural Networks can be effectively used only w...
09/06/2017 ∙ by Diego Fioravanti, et al. ∙ 0 ∙ share

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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...
10/10/2017 ∙ by Marco Bozzano, et al. ∙ 0 ∙ share

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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...
10/16/2017 ∙ by Giuseppe Jurman, et al. ∙ 0 ∙ share

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Towards learning domain-independent planning heuristics

Automated planning remains one of the most general paradigms in Artifici...
07/21/2017 ∙ by Pawel Gomoluch, et al. ∙ 0 ∙ share

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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...
06/14/2016 ∙ by Luciano Serafini, et al. ∙ 0 ∙ share

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Enhancing workflow-nets with data for trace completion

The growing adoption of IT-systems for modeling and executing (business)...
06/01/2017 ∙ by Riccardo De Masellis, et al. ∙ 0 ∙ share

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Logic Tensor Networks for Semantic Image Interpretation

Semantic Image Interpretation (SII) is the task of extracting structured...
05/24/2017 ∙ by Ivan Donadello, et al. ∙ 0 ∙ share

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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...
04/12/2017 ∙ by Antonio L. Alfeo, et al. ∙ 0 ∙ share

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What your Facebook Profile Picture Reveals about your Personality

People spend considerable effort managing the impressions they give othe...
08/03/2017 ∙ by Cristina Segalin, et al. ∙ 0 ∙ share

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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...
12/01/2016 ∙ by Stefano Borgo, et al. ∙ 0 ∙ share

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Loss Max-Pooling for Semantic Image Segmentation

We introduce a novel loss max-pooling concept for handling imbalanced tr...
04/10/2017 ∙ by Samuel Rota Bulò, et al. ∙ 0 ∙ share

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Abducing Compliance of Incomplete Event Logs

The capability to store data about business processes execution in so-ca...
06/17/2016 ∙ by Federico Chesani, et al. ∙ 0 ∙ share

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Learning Cross-Modal Deep Representations for Robust Pedestrian Detection

This paper presents a novel method for detecting pedestrians under adver...
04/08/2017 ∙ by Dan Xu, et al. ∙ 0 ∙ share

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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...
04/07/2017 ∙ by Dan Xu, et al. ∙ 0 ∙ share

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Generalized Compression Dictionary Distance as Universal Similarity Measure

We present a new similarity measure based on information theoretic measu...
10/21/2014 ∙ by Andrey Bogomolov, et al. ∙ 0 ∙ share

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Structured Learning Modulo Theories

Modelling problems containing a mixture of Boolean and numerical variabl...
05/07/2014 ∙ by Stefano Teso, et al. ∙ 0 ∙ share

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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 ...
10/21/2014 ∙ by Andrey Bogomolov, et al. ∙ 0 ∙ share

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SALSA: A Novel Dataset for Multimodal Group Behavior Analysis

Studying free-standing conversational groups (FCGs) in unstructured soci...
06/23/2015 ∙ by Xavier Alameda-Pineda, et al. ∙ 0 ∙ share

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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...
08/21/2012 ∙ by Davide Albanese, et al. ∙ 0 ∙ share

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mlpy: Machine Learning Python

mlpy is a Python Open Source Machine Learning library built on top of Nu...
02/29/2012 ∙ by Davide Albanese, et al. ∙ 0 ∙ share

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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...
08/17/2010 ∙ by Giuseppe Jurman, et al. ∙ 0 ∙ share

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Mixing representation levels: The hybrid approach to automatic text generation

Natural language generation systems (NLG) map non-linguistic representat...
07/16/1999 ∙ by Emanuele Pianta, et al. ∙ 0 ∙ share

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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...
10/10/2017 ∙ by Mirco Ravanelli, et al. ∙ 0 ∙ share

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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 ...
07/31/2017 ∙ by Duygu Ataman, et al. ∙ 0 ∙ share

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Automatic Quality Estimation for ASR System Combination

Recognizer Output Voting Error Reduction (ROVER) has been widely used fo...
06/22/2017 ∙ by Shahab Jalalvand, et al. ∙ 0 ∙ share

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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...
04/04/2017 ∙ by Youness Mansar, et al. ∙ 0 ∙ share

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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...
02/06/2017 ∙ by Daniele Falavigna, et al. ∙ 0 ∙ share

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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...
12/14/2016 ∙ by Mauro Cettolo, et al. ∙ 0 ∙ share

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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 ...
10/03/2016 ∙ by Edoardo Maria Ponti, et al. ∙ 0 ∙ share

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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...
08/24/2015 ∙ by Marco Guerini, et al. ∙ 0 ∙ share

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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...
02/17/2015 ∙ by Arianna Bisazza, et al. ∙ 0 ∙ share

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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...
11/28/2014 ∙ by Vivi Nastase, et al. ∙ 0 ∙ share

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Realistic multi-microphone data simulation for distant speech recognition

The availability of realistic simulated corpora is of key importance for...
11/26/2017 ∙ by Mirco Ravanelli, et al. ∙ 0 ∙ share

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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...
09/29/2017 ∙ by Kizilov Mikhail, et al. ∙ 0 ∙ share

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