• Transferring knowledge from discourse to arguments: a case study with scientific abstracts

  Accuosto, Pablo; Saggion, Horacio (ACL (Association for Computational Linguistics), 2019)

  In this work we propose to leverage resources available with discourse-level annotations to facilitate the identification of argumentative components and relations in scientific texts, which has been recognized as a ...
• PyToBI: a toolkit for ToBI labeling under Python

  Domínguez Bajo, Mónica; Rohrer, Patrick Louis; Soler-Company, Juan (International Speech Communication Association (ISCA), 2019)

  PyToBI is introduced as a user-friendly toolkit for the automatic annotation of intonation contours using the Tones and Breaks Indexes convention, known as ToBI. Index Terms: speech prosody, ToBI, automatic annotation, speech ...
• A Simple fusion of deep and shallow learning for acoustic scene classification

  Fonseca, Eduardo; Gong, Rong; Serra, Xavier (Cyprus University of Technology, 2018)

  In the past, Acoustic Scene Classification systems havebeen based on hand crafting audio features that are input toa classifier. Nowadays, the common trend is to adopt datadriven techniques, e.g., deep learning, where audio ...
• Makam recognition using extended pitch distribution features and multi-layer perceptrons

  Yesiler, Furkan; Bozkurt, Baris; Serra, Xavier (Cyprus University of Technology, 2018)

  This work focuses on automatic makam recognition taskfor Turkish makam music (TMM) using pitch distributionsthat are widely used in mode recognition tasks for variousmusic traditions. Here, we aim to improve the performanceof ...
• Early risk detection of anorexia on social media

  Ramíırez-Cifuentes, Diana; Mayans Yern, Marc; Freire, Ana (Springer, 2018)

  This paper proposes an approach for the early detection of anorexia nervosa (AN) on social media. We present a machine learning approach that processes the texts written by social media users. This method relies on a set ...
• Early prediction of Alzheimer's disease with non-local patch-based longitudinal descriptors

  Sanromà, Gerard; Andrea, Víctor; Benkarim, Oualid M.; Manjón, José V.; Coupé, Pierrick; Camara, Oscar; Piella Fenoy, Gemma; González Ballester, Miguel Ángel, 1973- (Springer, 2017)

  Alzheimer’s disease (AD) is characterized by a progressive decline in the cognitive functions accompanied by an atrophic process which can already be observed in the early stages using magnetic resonance images (MRI). ...
• Audio-aligned jazz harmony dataset for automatic chord transcription and corpus-based research

  Serra, Xavier (International Society for Music Information Retrieval (ISMIR), 2018)

  In this paper we present a new dataset of time-aligned jazz harmony transcriptions. This dataset is a useful resource for content-based analysis, especially for training and evaluating chord transcription algorithms. Most ...
• Automatic Makam recognition using chroma features

  Demirel, Emir; Bozkurt, Baris; Serra, Xavier (Aristotle University of Thessaloniki, 2018)

  This work focuses on the automatic makam recognition task for Turkish Makam Music using chroma features. Chroma features are widely used for music identification and tonal recognition tasks such as key estimation or chord ...
• Participatory design strategies to enhance the creative contribution of children with special needs

  Malinverni, Laura; Mora Guiard, Joan; Padillo, Vanesa; Mairena, Maria Angeles; Hervás, Amaia; Parés, Narcís, 1966- (ACM Association for Computer Machinery, 2014)

  In recent years there has been an increasing awareness about the importance of involving children with special needs in the process of designing technology. Starting from this perspective, the paper presents the participatory ...
• High-SNR analysis of optimum multiuser detection with an unknown number of users

  Tauste Campo, Adrià; Guillén i Fàbregas, Albert; Biglieri, Ezio (Institute of Electrical and Electronics Engineers (IEEE), 2009)

  We analyze multiuser detection under the assumption that the number of users accessing the channel is unknown by the receiver. Our main goal is to determine the performance loss caused by the need for estimating the ...
• Spatializing experience: a framework for the geolocalization, visualization and exploration of historical data using VR/AR technologies

  Pacheco Estefan, Daniel; Wierenga, Sytse; Omedas, Pedro; Wilbricht , Stefan; Knoch, Habbo; Verschure, Paul F. M. J. (ACM Association for Computer Machinery, 2014)

  In this study we present a novel ICT framework for the exploration and visualization of historical information using Augmented Reality (AR) and geolocalization. The framework facilitates the geolocalization of multimedia ...
• Manipulating complex network structures in virtual reality and 3D printing of the results

  Betella, Alberto; Escudero, Alex; Martínez Bueno, Enrique; Omedas, Pedro; Verschure, Paul F. M. J. (ACM Association for Computer Machinery, 2014)

  We present an immersive VR system that allows to manipulate network data structures by creating, removing or reconfiguring their elements and export the results at any time for direct 3D printing.
• Understanding large network datasets through embodied interaction in virtual reality

  Betella, Alberto; Martínez Bueno, Enrique; Kongsantad, Wipawee; Zucca, Riccardo; Arsiwalla, Xerxes D.; Omedas, Pedro; Verschure, Paul F. M. J. (ACM Association for Computer Machinery, 2014)

  The quantity of information we are producing is soaring: this generates large amounts of data that are frequently left unexplored. Novel tools are needed to stem this “data deluge”. We developed a system that enhances ...
• MULTISENSOR: development of multimedia content integration technologies for journalism, media monitoring and international exporting decision support

  Vrochidis, Stefanos; Kompatsiaris, Ioannis; Casamayor, Gerard; Arapakis, Ioannis; Busch, Reinhard; Alexiev, Vladimir; Jamin, Emmanuel; Jugov, Michael; Heise, Nicolaus; Forrellat, Teresa; Liparas, Dimitris; Wanner, Leo (Institute of Electrical and Electronics Engineers (IEEE), 2015)

  This paper presents an overview and the first results of the FP7 MULTISENSOR project, which deals with multidimensional content integration of multimedia content for intelligent sentiment enriched and context ...
• A Deeper exploration of the standard PB-SMT approach to text simplification and its evaluation

  Štajner , Sanja; Béchara, Hannah; Saggion, Horacio (ACL (Association for Computational Linguistics), 2015)

  In the last few years, there has been a growing number of studies addressing the Text Simplification (TS) task as a monolingual machine translation (MT) problem which translates from ‘original’ to ‘simple’ language. ...
• On the quantitative analysis of craniofacial asymmetry in 3D

  Sukno, Federico Mateo; Rojas, Mario A.; Waddington, John L.; Whelan, Paul F. (Institute of Electrical and Electronics Engineers (IEEE), 2015)

  We address a systematic evaluation of facial asymmetry from a population of 100 high-quality laser scans, which are first symmetrized and then manipulated to introduce 25 synthetic patterns with a variety of asymmetries. ...
• Shape from silhouette consensus and photo-consistency

  Haro Ortega, Gloria (Institute of Electrical and Electronics Engineers (IEEE), 2014)
• Reproducibility of brain-cognition relationships using different cortical surface-based analysis protocols

  Martínez, Kenia; Joshi, Anand A.; Madsen, Sarah K.; Joshi, Shantanu; Karama, Sherif; Román, Francisco J.; Villalon-Reina, Julio; Burgaleta, Miguel; Thompson, Paul M.; Colom, Roberto (Institute of Electrical and Electronics Engineers (IEEE), 2014)

  Neuroimaging techniques are now widely used to understand relationships between brain features and cognitive performance. Nevertheless, studies do not always implicate the same anatomical neural networks in intellectual ...
• A complex-integration approach to the saddlepoint approximation for random-coding bounds

  Martinez, Alfonso; Scarlett, Jonathan; Dalai, Marco; Guillén i Fàbregas, Albert (Institute of Electrical and Electronics Engineers (IEEE), 2014)

  This paper derives a saddlepoint approximation for the random-coding bound to the error probability of channel coding by using complex-integration techniques. The approximation is given by a sum of two terms: one with ...
• The Discipline formerly known as MIR

  Herrera Boyer, Perfecto, 1964-; Serrà Julià, Joan; Laurier, Cyril François; Guaus, Enric; Gómez Gutiérrez, Emilia, 1975-; Serra, Xavier (2009)

  Music Information Retrieval is a young multidisciplinary endeavour [4]. Even though its origins can be traced back to the 1960’s [14], we all probably agree on the capital influence that the International Conference on ...

View more