| Records |
| Author |
Albert Andaluz; Francesc Carreras; Debora Gil; Jaume Garcia |
| Title |
Una aplicació amigable pel càlcul de indicadors clínics del ventricle esquerre |
Type |
Miscellaneous |
| Year |
2010 |
Publication  |
Forum Biocat 2010 |
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| Address |
Lonja de Mar,Barcelona (Spain) |
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CVC |
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| Publisher |
Biocat |
Place of Publication |
Barcelona |
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| Language |
Catalan |
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IAM |
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no |
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IAM @ iam @ ACG2010 |
Serial |
1483 |
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| Author |
Gemma Sanchez; Josep Llados; K. Tombre |
| Title |
An Error-Correction Graph Grammar to Recognize Textured Symbols. |
Type |
Miscellaneous |
| Year |
2001 |
Publication |
Fourth IAPR International Workshop on Graphics Recognition, GREC 2001, 135–146. |
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Canada |
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DAG |
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no |
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DAG @ dag @ SLT2001b |
Serial |
164 |
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| Author |
Estefania Talavera; Alexandre Cola; Nicolai Petkov; Petia Radeva |
| Title |
Towards Egocentric Person Re-identification and Social Pattern Analysis. |
Type |
Book Chapter |
| Year |
2019 |
Publication |
Frontiers in Artificial Intelligence and Applications |
Abbreviated Journal |
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| Volume |
310 |
Issue |
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Pages |
203 - 211 |
| Keywords |
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| Abstract |
CoRR abs/1905.04073
Wearable cameras capture a first-person view of the daily activities of the camera wearer, offering a visual diary of the user behaviour. Detection of the appearance of people the camera user interacts with for social interactions analysis is of high interest. Generally speaking, social events, lifestyle and health are highly correlated, but there is a lack of tools to monitor and analyse them. We consider that egocentric vision provides a tool to obtain information and understand users social interactions. We propose a model that enables us to evaluate and visualize social traits obtained by analysing social interactions appearance within egocentric photostreams. Given sets of egocentric images, we detect the appearance of faces within the days of the camera wearer, and rely on clustering algorithms to group their feature descriptors in order to re-identify persons. Recurrence of detected faces within photostreams allows us to shape an idea of the social pattern of behaviour of the user. We validated our model over several weeks recorded by different camera wearers. Our findings indicate that social profiles are potentially useful for social behaviour interpretation. |
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| Notes |
MILAB; no proj |
Approved |
no |
| Call Number |
Admin @ si @ TCP2019 |
Serial |
3377 |
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| Author |
Xavier Baro; Jordi Vitria |
| Title |
Feature Selection with Non-Parametric Mutual Information for Adaboost Learning |
Type |
Book Chapter |
| Year |
2005 |
Publication |
Frontiers in Artificial Intelligence and Applications / Artificial intelligence Research and Development, 131:131–138, Eds: B. Lopez, J. Melendez, P. Radeva, J. Vitria, IOS Press, ISBN: 1–58603–560–6 |
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| Notes |
OR;HuPBA;MV |
Approved |
no |
| Call Number |
BCNPCL @ bcnpcl @ BaV2005b |
Serial |
583 |
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| Author |
Jordi Gonzalez; Javier Varona; Xavier Roca; Juan J. Villanueva |
| Title |
Human Sequence Evaluation: towards Knowledge-based Scene Interpretations |
Type |
Miscellaneous |
| Year |
2003 |
Publication |
Frontiers in Artificial Intelligence and Applications 100, 168–177 |
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ISE |
Approved |
no |
| Call Number |
ISE @ ise @ GVR2003d |
Serial |
390 |
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| Author |
Jordi Gonzalez; Javier Varona; Xavier Roca; Juan J. Villanueva |
| Title |
A Human Action Comparison Framework for Motion Understanding |
Type |
Miscellaneous |
| Year |
2003 |
Publication |
Frontiers in Artificial Intelligence and Applications 100, 331–340 |
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ISE |
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no |
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ISE @ ise @ GVR2003c |
Serial |
389 |
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| Author |
Jordi Vitria; Petia Radeva; I. Aguilo |
| Title |
Recent Advances in Artificial Intelligence Research and Development |
Type |
Book Chapter |
| Year |
2004 |
Publication |
Frontiers in Artificial Intelligence and Applications, 113, J. Vitria, P. Radeva, I. Aguilo (Eds.), ISBN: 1–58603–466–9 |
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Issue |
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Pages |
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| Address |
Amsterdam |
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| Notes |
OR;MILAB;MV |
Approved |
no |
| Call Number |
BCNPCL @ bcnpcl @ VRA2004 |
Serial |
509 |
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| Author |
Susana Alvarez; Xavier Otazu; Maria Vanrell |
| Title |
Image Segmentation Based on Inter-Feature Distance Maps |
Type |
Book Chapter |
| Year |
2005 |
Publication |
Frontiers in Artificial Intelligence and Applications, IOS Press, 131: 75–82 |
Abbreviated Journal |
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| Notes |
CIC |
Approved |
no |
| Call Number |
CAT @ cat @ AOV2005 |
Serial |
569 |
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| Author |
Zahra Raisi-Estabragh; Carlos Martin-Isla; Louise Nissen; Liliana Szabo; Victor M. Campello; Sergio Escalera; Simon Winther; Morten Bottcher; Karim Lekadir; and Steffen E. Petersen |
| Title |
Radiomics analysis enhances the diagnostic performance of CMR stress perfusion: a proof-of-concept study using the Dan-NICAD dataset |
Type |
Journal Article |
| Year |
2023 |
Publication |
Frontiers in Cardiovascular Medicine |
Abbreviated Journal |
FCM |
| Volume |
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Issue |
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Pages |
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Edition |
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ISBN |
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Expedition |
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Conference |
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| Notes |
HUPBA |
Approved |
no |
| Call Number |
Admin @ si @ RMN2023 |
Serial |
3937 |
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| Author |
Utkarsh Porwal; Alicia Fornes; Faisal Shafait (eds) |
| Title |
Frontiers in Handwriting Recognition. International Conference on Frontiers in Handwriting Recognition. 18th International Conference, ICFHR 2022 |
Type |
Book Whole |
| Year |
2022 |
Publication |
Frontiers in Handwriting Recognition. |
Abbreviated Journal |
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| Volume |
13639 |
Issue |
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Pages |
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| Abstract |
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| Address |
ICFHR 2022, Hyderabad, India, December 4–7, 2022 |
| Corporate Author |
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Thesis |
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| Publisher |
Springer |
Place of Publication |
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Editor |
Utkarsh Porwal; Alicia Fornes; Faisal Shafait |
| Language |
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Summary Language |
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Original Title |
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Series Title |
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Abbreviated Series Title |
LNCS |
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Series Issue |
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Edition |
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ISBN |
978-3-031-21648-0 |
Medium |
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Conference |
ICFHR |
| Notes |
DAG |
Approved |
no |
| Call Number |
Admin @ si @ PFS2022 |
Serial |
3809 |
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| Author |
Giuseppe De Gregorio; Sanket Biswas; Mohamed Ali Souibgui; Asma Bensalah; Josep Llados; Alicia Fornes; Angelo Marcelli |
| Title |
A Few Shot Multi-representation Approach for N-Gram Spotting in Historical Manuscripts |
Type |
Conference Article |
| Year |
2022 |
Publication |
Frontiers in Handwriting Recognition. International Conference on Frontiers in Handwriting Recognition (ICFHR2022) |
Abbreviated Journal |
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| Volume |
13639 |
Issue |
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Pages |
3-12 |
| Keywords |
N-gram spotting; Few-shot learning; Multimodal understanding; Historical handwritten collections |
| Abstract |
Despite recent advances in automatic text recognition, the performance remains moderate when it comes to historical manuscripts. This is mainly because of the scarcity of available labelled data to train the data-hungry Handwritten Text Recognition (HTR) models. The Keyword Spotting System (KWS) provides a valid alternative to HTR due to the reduction in error rate, but it is usually limited to a closed reference vocabulary. In this paper, we propose a few-shot learning paradigm for spotting sequences of a few characters (N-gram) that requires a small amount of labelled training data. We exhibit that recognition of important n-grams could reduce the system’s dependency on vocabulary. In this case, an out-of-vocabulary (OOV) word in an input handwritten line image could be a sequence of n-grams that belong to the lexicon. An extensive experimental evaluation of our proposed multi-representation approach was carried out on a subset of Bentham’s historical manuscript collections to obtain some really promising results in this direction. |
| Address |
December 04 – 07, 2022; Hyderabad, India |
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LNCS |
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Conference |
ICFHR |
| Notes |
DAG; 600.121; 600.162; 602.230; 600.140 |
Approved |
no |
| Call Number |
Admin @ si @ GBS2022 |
Serial |
3733 |
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| Author |
Arnau Baro; Pau Riba; Alicia Fornes |
| Title |
Musigraph: Optical Music Recognition Through Object Detection and Graph Neural Network |
Type |
Conference Article |
| Year |
2022 |
Publication |
Frontiers in Handwriting Recognition. International Conference on Frontiers in Handwriting Recognition (ICFHR2022) |
Abbreviated Journal |
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| Volume |
13639 |
Issue |
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Pages |
171-184 |
| Keywords |
Object detection; Optical music recognition; Graph neural network |
| Abstract |
During the last decades, the performance of optical music recognition has been increasingly improving. However, and despite the 2-dimensional nature of music notation (e.g. notes have rhythm and pitch), most works treat musical scores as a sequence of symbols in one dimension, which make their recognition still a challenge. Thus, in this work we explore the use of graph neural networks for musical score recognition. First, because graphs are suited for n-dimensional representations, and second, because the combination of graphs with deep learning has shown a great performance in similar applications. Our methodology consists of: First, we will detect each isolated/atomic symbols (those that can not be decomposed in more graphical primitives) and the primitives that form a musical symbol. Then, we will build the graph taking as root node the notehead and as leaves those primitives or symbols that modify the note’s rhythm (stem, beam, flag) or pitch (flat, sharp, natural). Finally, the graph is translated into a human-readable character sequence for a final transcription and evaluation. Our method has been tested on more than five thousand measures, showing promising results. |
| Address |
December 04 – 07, 2022; Hyderabad, India |
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LNCS |
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Conference |
ICFHR |
| Notes |
DAG; 600.162; 600.140; 602.230 |
Approved |
no |
| Call Number |
Admin @ si @ BRF2022b |
Serial |
3740 |
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| Author |
Olivier Penacchio; Xavier Otazu; Arnold J Wilkings; Sara M. Haigh |
| Title |
A mechanistic account of visual discomfort |
Type |
Journal Article |
| Year |
2023 |
Publication |
Frontiers in Neuroscience |
Abbreviated Journal |
FN |
| Volume |
17 |
Issue |
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Pages |
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| Abstract |
Much of the neural machinery of the early visual cortex, from the extraction of local orientations to contextual modulations through lateral interactions, is thought to have developed to provide a sparse encoding of contour in natural scenes, allowing the brain to process efficiently most of the visual scenes we are exposed to. Certain visual stimuli, however, cause visual stress, a set of adverse effects ranging from simple discomfort to migraine attacks, and epileptic seizures in the extreme, all phenomena linked with an excessive metabolic demand. The theory of efficient coding suggests a link between excessive metabolic demand and images that deviate from natural statistics. Yet, the mechanisms linking energy demand and image spatial content in discomfort remain elusive. Here, we used theories of visual coding that link image spatial structure and brain activation to characterize the response to images observers reported as uncomfortable in a biologically based neurodynamic model of the early visual cortex that included excitatory and inhibitory layers to implement contextual influences. We found three clear markers of aversive images: a larger overall activation in the model, a less sparse response, and a more unbalanced distribution of activity across spatial orientations. When the ratio of excitation over inhibition was increased in the model, a phenomenon hypothesised to underlie interindividual differences in susceptibility to visual discomfort, the three markers of discomfort progressively shifted toward values typical of the response to uncomfortable stimuli. Overall, these findings propose a unifying mechanistic explanation for why there are differences between images and between observers, suggesting how visual input and idiosyncratic hyperexcitability give rise to abnormal brain responses that result in visual stress. |
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| Notes |
NEUROBIT |
Approved |
no |
| Call Number |
Admin @ si @ POW2023 |
Serial |
3886 |
| Permanent link to this record |
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| Author |
Misael Rosales; Petia Radeva; Oriol Rodriguez; Debora Gil |
| Title |
Suppression of IVUS Image Rotation. A Kinematic Approach |
Type |
Book Chapter |
| Year |
2005 |
Publication |
Functional Imaging and Modeling of the Heart |
Abbreviated Journal |
LNCS |
| Volume |
3504 |
Issue |
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Pages |
889-892 |
| Keywords |
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| Abstract |
IntraVascular Ultrasound (IVUS) is an exploratory technique used in interventional procedures that shows cross section images of arteries and provides qualitative information about the causes and severity of the arterial lumen narrowing. Cross section analysis as well as visualization of plaque extension in a vessel segment during the catheter imaging pullback are the technique main advantages. However, IVUS sequence exhibits a periodic rotation artifact that makes difficult the longitudinal lesion inspection and hinders any segmentation algorithm. In this paper we propose a new kinematic method to estimate and remove the image rotation of IVUS images sequences. Results on several IVUS sequences show good results and prompt some of the clinical applications to vessel dynamics study, and relation to vessel pathology. |
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Springer Berlin / Heidelberg |
Place of Publication |
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Editor |
Frangi, Alejandro and Radeva, Petia and Santos, Andres and Hernandez, Monica |
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Original Title |
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Series Title |
Lecture Notes in Computer Science |
Abbreviated Series Title |
LNCS |
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3504 |
Series Issue |
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Edition |
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| Notes |
IAM;MILAB |
Approved |
no |
| Call Number |
IAM @ iam @ RRR2005 |
Serial |
1645 |
| Permanent link to this record |
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| Author |
David Roche; Debora Gil; Jesus Giraldo |
| Title |
Mathematical modeling of G protein-coupled receptor function: What can we learn from empirical and mechanistic models? |
Type |
Book Chapter |
| Year |
2014 |
Publication |
G Protein-Coupled Receptors – Modeling and Simulation Advances in Experimental Medicine and Biology |
Abbreviated Journal |
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| Volume |
796 |
Issue |
3 |
Pages |
159-181 |
| Keywords |
β-arrestin; biased agonism; curve fitting; empirical modeling; evolutionary algorithm; functional selectivity; G protein; GPCR; Hill coefficient; intrinsic efficacy; inverse agonism; mathematical modeling; mechanistic modeling; operational model; parameter optimization; receptor dimer; receptor oligomerization; receptor constitutive activity; signal transduction; two-state model |
| Abstract |
Empirical and mechanistic models differ in their approaches to the analysis of pharmacological effect. Whereas the parameters of the former are not physical constants those of the latter embody the nature, often complex, of biology. Empirical models are exclusively used for curve fitting, merely to characterize the shape of the E/[A] curves. Mechanistic models, on the contrary, enable the examination of mechanistic hypotheses by parameter simulation. Regretfully, the many parameters that mechanistic models may include can represent a great difficulty for curve fitting, representing, thus, a challenge for computational method development. In the present study some empirical and mechanistic models are shown and the connections, which may appear in a number of cases between them, are analyzed from the curves they yield. It may be concluded that systematic and careful curve shape analysis can be extremely useful for the understanding of receptor function, ligand classification and drug discovery, thus providing a common language for the communication between pharmacologists and medicinal chemists. |
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Springer Netherlands |
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Series Title |
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Abbreviated Series Title |
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Series Issue |
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Edition |
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| ISSN |
0065-2598 |
ISBN |
978-94-007-7422-3 |
Medium |
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Conference |
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| Notes |
IAM; 600.075 |
Approved |
no |
| Call Number |
IAM @ iam @ RGG2014 |
Serial |
2197 |
| Permanent link to this record |
