Fondazione Bruno Kessler

research

∙ 05/05/2022

Efficient yet Competitive Speech Translation: FBK@IWSLT2022

The primary goal of this FBK's systems submission to the IWSLT 2022 offl...

Marco Gaido, et al. ∙

research

∙ 03/12/2022

Enhancing crowd flow prediction in various spatial and temporal granularities

Thanks to the diffusion of the Internet of Things, nowadays it is possib...

Marco Cardia, et al. ∙

research

∙ 12/19/2018

Multisource and Multitemporal Data Fusion in Remote Sensing

The sharp and recent increase in the availability of data captured by di...

Pedram Ghamisi, et al. ∙

research

∙ 04/13/2021

Gender Bias in Machine Translation

Machine translation (MT) technology has facilitated our daily tasks by p...

Beatrice Savoldi, et al. ∙

research

∙ 01/21/2020

Domain-Aware Dialogue State Tracker for Multi-Domain Dialogue Systems

In task-oriented dialogue systems the dialogue state tracker (DST) compo...

Vevake Balaraman, et al. ∙

research

∙ 09/17/2019

Progressive Fusion for Unsupervised Binocular Depth Estimation using Cycled Networks

Recent deep monocular depth estimation approaches based on supervised re...

Andrea Pilzer, et al. ∙

research

∙ 12/01/2019

Gate-Shift Networks for Video Action Recognition

Deep 3D CNNs for video action recognition are designed to learn powerful...

Swathikiran Sudhakaran, et al. ∙

research

∙ 03/09/2020

Integrating Acting, Planning and Learning in Hierarchical Operational Models

We present new planning and learning algorithms for RAE, the Refinement ...

Sunandita Patra, et al. ∙

research

∙ 12/09/2021

Machine Learning for Utility Prediction in Argument-Based Computational Persuasion

Automated persuasion systems (APS) aim to persuade a user to believe som...

Ivan Donadello, et al. ∙

research

∙ 01/10/2022

Sub-mW Keyword Spotting on an MCU: Analog Binary Feature Extraction and Binary Neural Networks

Keyword spotting (KWS) is a crucial function enabling the interaction wi...

Gianmarco Cerutti, et al. ∙

research

∙ 09/26/2019

In-field grape berries counting for yield estimation using dilated CNNs

Digital technologies ignited a revolution in the agrifood domain known a...

L. Coviello, et al. ∙

research

∙ 11/23/2019

SemEval-2010 Task 8: Multi-Way Classification of Semantic Relations Between Pairs of Nominals

In response to the continuing research interest in computational semanti...

Iris Hendrickx, et al. ∙

research

∙ 10/31/2021

Visualization: the missing factor in Simultaneous Speech Translation

Simultaneous speech translation (SimulST) is the task in which output ge...

Sara Papi, et al. ∙

research

∙ 04/08/2022

Does Simultaneous Speech Translation need Simultaneous Models?

In simultaneous speech translation (SimulST), finding the best trade-off...

Sara Papi, et al. ∙

research

∙ 07/13/2021

Between Flexibility and Consistency: Joint Generation of Captions and Subtitles

Speech translation (ST) has lately received growing interest for the gen...

Alina Karakanta, et al. ∙

research

∙ 05/15/2019

Neural-Symbolic Computing: An Effective Methodology for Principled Integration of Machine Learning and Reasoning

Current advances in Artificial Intelligence and machine learning in gene...

Artur d'Avila Garcez, et al. ∙

research

∙ 12/09/2020

Breeding Gender-aware Direct Speech Translation Systems

In automatic speech translation (ST), traditional cascade approaches inv...

Marco Gaido, et al. ∙

research

∙ 03/04/2022

Online Learning of Reusable Abstract Models for Object Goal Navigation

In this paper, we present a novel approach to incrementally learn an Abs...

Tommaso Campari, et al. ∙

research

∙ 05/19/2022

Evaluating Subtitle Segmentation for End-to-end Generation Systems

Subtitles appear on screen as short pieces of text, segmented based on f...

Alina Karakanta, et al. ∙

research

∙ 08/29/2018

Top-down Attention Recurrent VLAD Encoding for Action Recognition in Videos

Most recent approaches for action recognition from video leverage deep a...

Swathikiran Sudhakaran, et al. ∙

research

∙ 09/26/2021

ISF-GAN: An Implicit Style Function for High-Resolution Image-to-Image Translation

Recently, there has been an increasing interest in image editing methods...

Yahui Liu, et al. ∙

research

∙ 03/18/2022

Under the Morphosyntactic Lens: A Multifaceted Evaluation of Gender Bias in Speech Translation

Gender bias is largely recognized as a problematic phenomenon affecting ...

Beatrice Savoldi, et al. ∙

research

∙ 07/12/2019

Gesture-to-Gesture Translation in the Wild via Category-Independent Conditional Maps

Recent works have shown Generative Adversarial Networks (GANs) to be par...

Yahui Liu, et al. ∙

research

∙ 03/24/2020

Tractogram filtering of anatomically non-plausible fibers with geometric deep learning

Tractograms are virtual representations of the white matter fibers of th...

Pietro Astolfi, et al. ∙

research

∙ 12/09/2020

On Knowledge Distillation for Direct Speech Translation

Direct speech translation (ST) has shown to be a complex task requiring ...

Marco Gaido, et al. ∙

research

∙ 03/07/2022

Trajectory Test-Train Overlap in Next-Location Prediction Datasets

Next-location prediction, consisting of forecasting a user's location gi...

Massimiliano Luca, et al. ∙

research

∙ 09/29/2017

Improving speech recognition by revising gated recurrent units

Speech recognition is largely taking advantage of deep learning, showing...

Mirco Ravanelli, et al. ∙

research

∙ 09/14/2017

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...

Nastaran Mohammadian Rad, et al. ∙

research

∙ 09/06/2017

Phylogenetic Convolutional Neural Networks in Metagenomics

Background: Convolutional Neural Networks can be effectively used only w...

Diego Fioravanti, et al. ∙

research

∙ 10/10/2017

Causality and Temporal Dependencies in the Design of Fault Management Systems

Reasoning about causes and effects naturally arises in the engineering o...

Marco Bozzano, et al. ∙

research

∙ 10/16/2017

Convolutional neural networks for structured omics: OmicsCNN and the OmicsConv layer

Convolutional Neural Networks (CNNs) are a popular deep learning archite...

Giuseppe Jurman, et al. ∙

research

∙ 07/21/2017

Towards learning domain-independent planning heuristics

Automated planning remains one of the most general paradigms in Artifici...

Pawel Gomoluch, et al. ∙

research

∙ 06/14/2016

Logic Tensor Networks: Deep Learning and Logical Reasoning from Data and Knowledge

We propose Logic Tensor Networks: a uniform framework for integrating au...

Luciano Serafini, et al. ∙

research

∙ 06/01/2017

Enhancing workflow-nets with data for trace completion

The growing adoption of IT-systems for modeling and executing (business)...

Riccardo De Masellis, et al. ∙

research

∙ 05/24/2017

Logic Tensor Networks for Semantic Image Interpretation

Semantic Image Interpretation (SII) is the task of extracting structured...

Ivan Donadello, et al. ∙

research

∙ 04/12/2017

Stigmergy-based modeling to discover urban activity patterns from positioning data

Positioning data offer a remarkable source of information to analyze cro...

Antonio L. Alfeo, et al. ∙

research

∙ 08/03/2017

What your Facebook Profile Picture Reveals about your Personality

People spend considerable effort managing the impressions they give othe...

Cristina Segalin, et al. ∙

research

∙ 12/01/2016

On Coreferring Text-extracted Event Descriptions with the aid of Ontological Reasoning

Systems for automatic extraction of semantic information about events fr...

Stefano Borgo, et al. ∙

research

∙ 04/10/2017

Loss Max-Pooling for Semantic Image Segmentation

We introduce a novel loss max-pooling concept for handling imbalanced tr...

Samuel Rota Bulò, et al. ∙

research

∙ 06/17/2016

Abducing Compliance of Incomplete Event Logs

The capability to store data about business processes execution in so-ca...

Federico Chesani, et al. ∙

research

∙ 04/08/2017

Learning Cross-Modal Deep Representations for Robust Pedestrian Detection

This paper presents a novel method for detecting pedestrians under adver...

Dan Xu, et al. ∙

research

∙ 04/07/2017

Multi-Scale Continuous CRFs as Sequential Deep Networks for Monocular Depth Estimation

This paper addresses the problem of depth estimation from a single still...

Dan Xu, et al. ∙

research

∙ 10/21/2014

Generalized Compression Dictionary Distance as Universal Similarity Measure

We present a new similarity measure based on information theoretic measu...

Andrey Bogomolov, et al. ∙

research

∙ 05/07/2014

Structured Learning Modulo Theories

Modelling problems containing a mixture of Boolean and numerical variabl...

Stefano Teso, et al. ∙

research

∙ 10/21/2014

Daily Stress Recognition from Mobile Phone Data, Weather Conditions and Individual Traits

Research has proven that stress reduces quality of life and causes many ...

Andrey Bogomolov, et al. ∙

research

∙ 06/23/2015

SALSA: A Novel Dataset for Multimodal Group Behavior Analysis

Studying free-standing conversational groups (FCGs) in unstructured soci...

Xavier Alameda-Pineda, et al. ∙

research

∙ 08/21/2012

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...

Davide Albanese, et al. ∙

research

∙ 02/29/2012

mlpy: Machine Learning Python

mlpy is a Python Open Source Machine Learning library built on top of Nu...

Davide Albanese, et al. ∙

research

∙ 08/17/2010

A unifying view for performance measures in multi-class prediction

In the last few years, many different performance measures have been int...

Giuseppe Jurman, et al. ∙

research

∙ 07/16/1999

Mixing representation levels: The hybrid approach to automatic text generation

Natural language generation systems (NLG) map non-linguistic representat...

Emanuele Pianta, et al. ∙

Fondazione Bruno Kessler

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