• Terrain backscatter and oil sand exploration: average reflectivity analysis

  Ezeoke, Maurice; Borda Fortuny, Cristina; Tong, Kenneth (Institute of Electrical and Electronics Engineers (IEEE), 2014)

  A barefaced terrain scattering model for oil sand exploration will enable the discrimination of different terrain types using incoherent polarimetric decomposition. We use computer electromagnetic modeling with finite ...
• Reconfigurable antennas for very wide spectrum monitoring

  Amiri, A.; Borda Fortuny, Cristina; Tong, Kin-Fai (Institute of Electrical and Electronics Engineers (IEEE), 2014)

  Two different reconfigurable techniques for spectrum-monitoring antenna are presented. The first method inserts high-performance RF-MEMS switches along the microstrip feed line and back slot of a Vivaldi antenna ...
• High-gain triple-band reconfigurable Vivaldi antenna

  Borda Fortuny, Cristina; Tong, Kin-Fai; Chetty, Kevin; Brittan, P. (Institute of Electrical and Electronics Engineers (IEEE), 2014)

  A frequency agile Vivaldi antenna whose operating frequency band can be switched is pro- posed. High-performance radio-frequency micro- electromechanical system (RF-MEMS) switches al- low tuning of the operational band ...
• Comparison between a novel liquid switch and a GaAs MMIC switch for reconfiguring the operating frequency of a Vivaldi antenna

  Borda Fortuny, Cristina; Tong, Kin-Fai; Chetty, Kevin; Wong, Kai-Kit (Institute of Electrical and Electronics Engineers (IEEE), 2017)

  This article proposes a novel liquid switch to reconfigure the operating frequency of a frequency-independent antenna. A Vivaldi antenna using a low-cost GaAs MMIC RF switch is used as a landmark to compare the measured ...
• High-resolution dynamic cardiac MRI on small animals using reconstruction based on Split Bregman methodology

  Montesinos, P.; Abascal, Juan F.P.J.; Chamorro-Servent, Judit; Chavarrías, Cristina; Benito, M.; Vaquero, Juan J.; Desco, Manuel (Institute of Electrical and Electronics Engineers (IEEE), 2011)

  Dynamic cardiac magnetic resonance imaging in small animals is an important tool in the study of cardiovascular diseases. The reduction of the long acquisition times required for cardiovascular applications is crucial ...
• Survey on automatic lip-reading in the era of deep learning

  Fernandez-Lopez, Adriana; Sukno, Federico Mateo (Elsevier, 2018)

  In the last few years, there has been an increasing interest in developing systems for Automatic Lip-Reading (ALR). Similarly to other computer vision applications, methods based on Deep Learning (DL) have become very ...
• Able to read my mail: An accessible e-mail client with assistive technology

  Saggion, Horacio; Ferrés, Daniel; Sevens, Leen; Schuurman, Ineke; Ripollés, Marta; Rodríguez, Olga (ACM Association for Computer Machinery, 2017)

  The Able to Include project aims at improving the living conditions of people with intellectual or developmental disabilities (IDD) in key areas of society. One of its focus points concerns improving the integration of ...
• Applying dependency relations to definition extraction

  Espinosa-Anke, Luis; Saggion, Horacio (Springer, 2014)

  Definition Extraction (DE) is the task to automatically identify definitional knowledge in naturally-occurring text. This task has applications in ontology generation, glossary creation or question answering. Although the ...
• Corpus-based sentence deletion and split decisions for Spanish text simplification

  Stajner, Sanja; Drndarevic, Biljana; Saggion, Horacio (2013)

  This study addresses the automatic simplification of texts in Spanish in order to make them more accessible to people with cognitive disabilities. A corpus analysis of original and manually simplified news articles was ...
• Exploring emoji usage and prediction through a temporal variation lens

  Barbieri, Francesco; Marujo, Luís; Karuturi, Pradeep; Brendel, William; Saggion, Horacio (CEUR Workshop Proceedings, 2018)

  The frequent use of Emojis on social media platforms has created a new form of multimodal social interaction. Developing methods for the study and representation of emoji semantics helps to improve future multimodal ...
• Finding and expanding hypernymic relations in the music domain

  Espinosa-Anke, Luis; Oramas, Sergio; Camacho-Collados, Jose; Saggion, Horacio (2016)

  Lexical taxonomies are tree or directed acyclic graph-like structures where each node represents a concept and each edge encodes a binary hypernymic (is-a) relation. These lexical resources are useful for AI tasks like ...
• Extremes of error exponents

  Guillén i Fàbregas, Albert; Land, Ingmar; Martinez, Alfonso (Institute of Electrical and Electronics Engineers (IEEE), 2013)

  This paper determines the range of feasible values of standard error exponents for binary-input memoryless symmetric channels of fixed capacity C and shows that extremes are attained by the binary symmetric and the binary ...
• Mismatched decoding: error exponents, second-order rates and saddlepoint approximations

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

  This paper considers the problem of channel coding with a given (possibly suboptimal) maximum-metric decoding rule. A cost-constrained random-coding ensemble with multiple auxiliary costs is introduced, and is shown to ...
• Expurgated random-coding ensembles: exponents, refinements and connections

  Scarlett, Jonathan; Peng, Li; Merhav, Neri; Martinez, Alfonso; Guillén i Fàbregas, Albert (Institute of Electrical and Electronics Engineers (IEEE), 2014)

  This paper studies expurgated random-coding bounds and exponents for channel coding with a given (possibly suboptimal) decoding rule. Variations of Gallager's analysis are presented, yielding several asymptotic and ...
• MIMO block-fading channels with mismatched CSI

  Asyhari, A. Taufiq; Guillén i Fàbregas, Albert (Institute of Electrical and Electronics Engineers (IEEE), 2014)

  We study transmission over multiple-input multiple-output block-fading channels with imperfect channel state information (CSI) at both the transmitter and receiver. In particular, based on mismatched decoding theory for a ...
• Hypernym extraction: combining machine-learning and dependency grammar

  Espinosa-Anke, Luis; Ronzano, Francesco; Saggion, Horacio (Springer, 2015)

  Hypernym extraction is a crucial task for semantically motivated NLP tasks such as taxonomy and ontology learning, textual entailment or paraphrase identification. In this paper, we describe an approach to hypernym extraction ...
• A Derivation of the source-channel error exponent using nonidentical product distributions

  Tauste Campo, Adrià; Vazquez-Vilar, Gonzalo; Guillén i Fàbregas, Albert; Koch, Tobias; Martinez, Alfonso (Institute of Electrical and Electronics Engineers (IEEE), 2014)

  This paper studies the random-coding exponent of joint source-channel coding for a scheme where source messages are assigned to disjoint subsets (referred to as classes), and codewords are independently generated according ...
• Second-order rate region of constant-composition codes for the multiple-access channel

  Scarlett, Jonathan; Martinez, Alfonso; Guillén i Fàbregas, Albert (Institute of Electrical and Electronics Engineers (IEEE), 2015)

  This paper studies the second-order asymptotics of coding rates for the discrete memoryless multiple-access channel (MAC) with a fixed target error probability. Using constant-composition random coding, coded time-sharing, ...
• A Counter-example to the mismatched decoding converse for binary-input discrete memoryless channels

  Scarlett, Jonathan; Somekh-Baruch, Anelia; Martinez, Alfonso; Guillén i Fàbregas, Albert (Institute of Electrical and Electronics Engineers (IEEE), 2015)

  This paper studies the mismatched decoding problem for binary-input discrete memoryless channels. An example is provided for which an achievable rate based on superposition coding exceeds the Csiszár-Körner-Hui rate, thus ...
• Bayesian M-Ary hypothesis testing: the meta-converse and Verdú-Han bounds are tight

  Vazquez-Vilar, Gonzalo; Tauste Campo, Adrià; Guillén i Fàbregas, Albert; Martinez, Alfonso (Institute of Electrical and Electronics Engineers (IEEE), 2016)

  Two alternative exact characterizations of the minimum error probability of Bayesian M-ary hypothesis testing are derived. The first expression corresponds to the error probability of an induced binary hypothesis test and ...

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