NICOLAS NIETO; DIEGO MILONE; AGOSTINA LARRAZABAL; ENZO FERRANTE; VICTORIA PETERSON

On the relationship between research parasites and fairness in machine learning: challenges and opportunities

Gigascience; Lugar: Oxford; Año: 2022

MILONE, DIEGO H.; FERRANTE, ENZO; ECHEVESTE, RODRIGO; SAMENGO, INÉS

Bridging physiological and perceptual views of autism by means of sampling-based Bayesian inference

Network Neuroscience; Año: 2022 vol. 6 p. 196 - 212

GAGGION, NICOLAS; MILONE, DIEGO H.; MANSILLA, LUCAS; FERRANTE, ENZO; MOSQUERA, CANDELARIA

Improving anatomical plausibility in medical image segmentation via hybrid graph neural networks: applications to chest x-ray analysis

IEEE TRANSACTION ON MEDICAL IMAGING; Año: 2022 vol. 42 p. 546 - 556

MARTINEZ-RAU, LUCIANO S.; GALLI, JULIO R.; RUFINER, H. LEONARDO; CHELOTTI, JOSÉ O.; UTSUMI, SANTIAGO A.; GIOVANINI, LEONARDO L.; VANRELL, SEBASTIÁN R.; PLANISICH, ALEJANDRA M.

A robust computational approach for jaw movement detection and classification in grazing cattle using acoustic signals

COMPUTERS AND ELETRONICS IN AGRICULTURE; Lugar: Amsterdam; Año: 2022 vol. 192

PETERSON, VICTORIA; LAMBERCY, OLIVIER; SPIES, RUBEN D.; WYSER, DOMINIK; MILONE, DIEGO H.; NIETO, NICOLAS; GASSERT, ROGER

Transfer Learning based on Optimal Transport for Motor Imagery Brain-Computer Interfaces

IEEE TRANSACTIONS ON BIO-MEDICAL ENGINEERING; Año: 2021 vol. 69 p. 807 - 817

VICTORIA PETERSON; FRANCISCO J. IBARROLA; RUBÉS SPIES; NIETO NICOLÁS; RUFINER HUGO LEONARDO

Extreme Learning Machine Design for Dealing with Unrepresentative Features

NEUROINFORMATICS; Lugar: Oregon; Año: 2021

LI, JIANNING; EHLKE, MORITZ; ESTACIO, LAURA; SHI, HAOCHEN; NEWCOMBE, VIRGINIA; ELLIS, DAVID G.; SPANEL, MICHAL; FISHMAN, ZACHARY; SHIT, SUPROSANNA; EDER, MATTHIAS; ALVES, VICTOR; PISTRACHER, KARIN; MENZE, BJOERN H.; PIMENTEL, PEDRO; LAMECKER, HANS; DOENITZ, CHRISTIAN; CHEN, XIAOJUN; FERRANTE, ENZO; AIZENBERG, MICHELE R.; HEROUT, ADAM; HARDISTY, MICHAEL R.; WANG, BOMIN; PEPE, ANTONIO; ZEFFERER, ULRIKE; SCHAFER, UTE; GLOCKER, BEN; SZENGEL, ANGELIKA; ZACHOW, STEFAN; RAMM, HEIKO; MATZKIN, FRANCO; JIN, YUAN; KODYM, OLDRICH; MAINPRIZE, JAMES G.; BAYAT, AMIRHOSSEIN; LIU, ZHI; GSAXNER, CHRISTINA; VON CAMPE, GORD; SCHMALSTIEG, DIETER; EGGER, JAN

AutoImplant 2020-First MICCAI Challenge on Automatic Cranial Implant Design

IEEE TRANSACTION ON MEDICAL IMAGING; Año: 2021 vol. 40 p. 2329 - 2342

LI, JIAHUI; CLOUGH, JAMES; GRAU, VICENTE; LI, XIANG; MA, JIN; YAN, WENJUN; JANG, YEONGGUL; YANG, GUANYU; HU, ZHIQIANG; OKSUZ, ILKAY; GUO, FUMIN; LI, QUANZHENG; GRINIAS, ELIAS; ATEHORTUA, ANGELICA; DEBUS, ALEJANDRO; HUA, TIANCONG; XUE, WUFENG; KERFOOT, ERIC; XU, HAO; NG, MATTHEW; LIU, LIHONG; TZIRITAS, GEORGIOS; GARREAU, MIREILLE; FERRANTE, ENZO; LI, SHUO

Left Ventricle Quantification Challenge: A Comprehensive Comparison and Evaluation of Segmentation and Regression for Mid-Ventricular Short-Axis Cardiac MR Data

IEEE Journal of Biomedical and Health Informatics; Año: 2021 vol. 25 p. 3541 - 3553

DI PERSIA, LEANDRO EZEQUIEL; ROLON, ROMÁN EMANUEL; RUFINER, HUGO LEONARDO; SPIES, RUBÉN DANIEL

A multi-class structured dictionary learning method using discriminant atom selection

PATTERN ANALYSIS AND APPLICATIONS; Lugar: Berlin; Año: 2020

ROMÁN ROLÓN; LEANDRO DI PERSIA; GAREIS, IVÁN EMILIO; RUBEN SPIES; LUIS LARRATEGUY; HUGO LEONARDO RUFINER

Automatic scoring of apnea and hypopnea events using blood oxygen saturation signals

BIOMEDICAL SIGNAL PROCESSING AND CONTROL; Lugar: Amsterdam; Año: 2020 vol. 62

CHELOTTI, JOSÉ O.; MILONE, DIEGO H.; VANRELL, SEBASTIÁN R.; RUFINER, H. LEONARDO; GALLI, JULIO R.; BUGNON, LEANDRO A.; LACA, EMILIO A.; CHELOTTI, JOSÉ O.; MILONE, DIEGO H.; VANRELL, SEBASTIÁN R.; RUFINER, H. LEONARDO; GALLI, JULIO R.; BUGNON, LEANDRO A.; LACA, EMILIO A.

Audio recordings dataset of grazing jaw movements in dairy cattle

Data in Brief; Año: 2020 vol. 30

CHELOTTI, JOSÉ O.; GALLI, JULIO R.; MILONE, DIEGO H.; CHELOTTI, JOSÉ O.; GALLI, JULIO R.; MILONE, DIEGO H.; MARTINEZ RAU, LUCIANO S.; UTSUMI, SANTIAGO A.; RUFINER, H. LEONARDO; MARTINEZ RAU, LUCIANO S.; UTSUMI, SANTIAGO A.; RUFINER, H. LEONARDO; VANRELL, SEBASTIÁN R.; PLANISICH, ALEJANDRA M.; GIOVANINI, LEONARDO L.; VANRELL, SEBASTIÁN R.; PLANISICH, ALEJANDRA M.; GIOVANINI, LEONARDO L.

An online method for estimating grazing and rumination bouts using acoustic signals in grazing cattle

COMPUTERS AND ELETRONICS IN AGRICULTURE; Año: 2020 vol. 173

VERA CANDIOTI, LUCIANA; GIOVANINI, LEONARDO L.; SIANO, GABRIEL G.

Chemometric handling of spectral-temporal dependencies for liquid chromatography data with online registering of excitation-emission fluorescence matrices

CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS; Año: 2020 vol. 199

MILONE, DIEGO H.; FERRANTE, ENZO; MANSILLA, LUCAS

Learning deformable registration of medical images with anatomical constraints (IF 5.785)

NEURAL NETWORKS; Año: 2020 vol. 124 p. 269 - 279

FERNANDEZ M; GOMEZ A; LOPEZ L; GIOVANINI L

An influenza epidemic model with dynamic social networks of agents with individual behaviour

ECOLOGICAL COMPLEXITY; Lugar: Amsterdam; Año: 2020

MATHIEU, FRANCOIS; FERRANTE, ENZO; RUECKERT, DANIEL; MONTEIRO, MIGUEL; ADATIA, KRISHMA; DAS, TILAK; MENON, DAVID K; NEWCOMBE, VIRGINIA F J; KAMNITSAS, KONSTANTINOS; WHITEHOUSE, DANIEL; GLOCKER, BEN

Multiclass semantic segmentation and quantification of traumatic brain injury lesions on head CT using deep learning: an algorithm development and multicentre validation study

The Lancet Digital Health; Lugar: Londres; Año: 2020

MILONE, DIEGO HUMBERTO; BUGNON, LEANDRO ARIEL; CALVO, RAFAEL A.

Dimensional Affect recognition from HRV: an approach based on supervised SOM and ELM (IF 6.288)

IEEE Transactions on Affective Computing; Año: 2020 vol. 11 p. 32 - 44

ECHEVESTE, RODRIGO; LENGYEL, MÁTÉ; AITCHISON, LAURENCE; HENNEQUIN, GUILLAUME

Cortical-like dynamics in recurrent circuits optimized for sampling-based probabilistic inference

NATURE NEUROSCIENCE.; Año: 2020

YONES, CRISTIAN; BUGNON, LEANDRO A.; STEGMAYER, GEORGINA; BUGNON, LEANDRO A.; STEGMAYER, GEORGINA; MILONE, DIEGO H.; MILONE, DIEGO H.; YONES, CRISTIAN

Deep Neural Architectures for Highly Imbalanced Data in Bioinformatics (IF 11.683)

IEEE Transactions on Neural Networks and Learning Systems; Lugar: Piscataway; Año: 2020 vol. 31 p. 2857 - 2867

PETERSON, VICTORIA; NIETO, NICOLÁS; FERRANTE, ENZO; LARRAZABAL, AGOSTINA J.; MILONE, DIEGO H.

Gender imbalance in medical imaging datasets produces biased classifiers for computer-aided diagnosis (IF 9.580)

PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA; Año: 2020 vol. 117 p. 12592 - 12594

PETERSON, VICTORIA; SPIES, RUBEN; HERNÁNDEZ, HUGO; GALVÁN, CATALINA

A feasibility study of a complete low-cost consumer-grade brain-computer interface system

Heliyon; Año: 2020 vol. 6

B. GLOCKER; A. LARRAZABAL; C. MARTÍNEZ

Post-DAE: Anatomically Plausible Segmentation via Post-Processing with Denoising Autoencoders

IEEE TRANSACTION ON MEDICAL IMAGING; Lugar: New York; Año: 2020

GERARD, MATIAS F.; COMELLI, RAÚL N.

PhDSeeker: Pheromone-Directed Seeker for metabolic pathways

BIOSYSTEMS; Año: 2020 vol. 198

J. RAAD, G. STEGMAYER, D.H. MILONE; J. RAAD, G. STEGMAYER, D.H. MILONE

Complexity measures of the mature miRNA for improving pre-miRNAs prediction (IF 5.610)

BIOINFORMATICS (OXFORD, ENGLAND); Lugar: Oxford; Año: 2020 vol. 36 p. 2319 - 2327

RAU, LUCIANO S. MARTINEZ

A Variable Gain and Bandwidth Fully Differential CMOS Neural Preamplifier

2020 Argentine Conference on Electronics, CAE 2020; Lugar: Piscataway; Año: 2020 p. 47 - 52

MARINA MURILLO; NESTOR DENIZ; LEONARDO GIOVANINI; NESTOR DENIZ; LEONARDO GIOVANINI; GUIDO SÁNCHEZ; GUIDO SÁNCHEZ; MARINA MURILLO

Robust stability of moving horizon estimation for nonlinear systems with bounded disturbances using adaptive arrival cost

IET CONTROL THEORY AND APPLICATIONS; Año: 2020 vol. 14 p. 2879 - 2888

CHELOTTI, JOSE OMAR; RAU, LUCIANO MARTINEZ; GIOVANINI, LEONARDO LUIS; RAU, LUCIANO MARTINEZ; GIOVANINI, LEONARDO LUIS; VANRELL, SEBASTIAN RODRIGO; VANRELL, SEBASTIAN RODRIGO; CHELOTTI, JOSE OMAR

Developments on real-time monitoring of grazing cattle feeding behavior using sound

Proceedings of the IEEE International Conference on Industrial Technology; Año: 2020 vol. 2020 p. 771 - 776

SIANO, G.; CASTELLS, C.B.; QUINTAS, P.; ACQUAVIVA, A.; FILGUEIRA, M.R.

Chiral x achiral multidimensional liquid chromatography. Application to the enantioseparation of dintitrophenyl amino acids in honey samples and their fingerprint classification

JOURNAL OF CHROMATOGRAPHY - A; Lugar: Amsterdam; Año: 2020 vol. 1614

BUGNON, L; GERARD, M; PIVIDORI, M; STEGMAYER, G; YONES, C; RUBIOLO, M; DI PERSIA, L; RAAD, J; MERINO, G; MILONE, D H

DL4papers: a deep learning approach for the automatic interpretation of scientific articles

BIOINFORMATICS (OXFORD, ENGLAND); Año: 2020

MERINO, GABRIELA A; YONES, CRISTIAN; ARIEL, FEDERICO; RAAD, JONATHAN; KAMENETZKY, LAURA; MILONE, DIEGO H; BUGNON, LEANDRO A; CLAUS, JUAN; STEGMAYER, GEORGINA

Novel SARS-CoV-2 encoded small RNAs in the passage to humans

BIOINFORMATICS (OXFORD, ENGLAND); Año: 2020 vol. 36 p. 5571 - 5581

YONES, CRISTIAN; MILONE, DIEGO; RÉ, DELFINA A.; ARCE, AGUSTIN L.; MANAVELLA, PABLO A.; LANG, PATRICIA L. M.; STEGMAYER, GEORGINA

Alternative use of miRNA-biogenesis co-factors in plants at low temperatures (IF 5.413)

DEVELOPMENT; Año: 2019 vol. 146

PERSIA, LEANDRO EZEQUIEL DI; IBARROLA, FRANCISCO JAVIER; SPIES, RUBEN DANIEL

Switching Divergences for Spectral Learning in Blind Speech Dereverberation

IEEE/ACM Transactions on Audio, Speech, and Language Processing; Lugar: Los Altos, CA 94024 USA; Año: 2019 vol. 27 p. 881 - 891

TIBALDO, GIULIANA; MARSILI, NILDA R.; TIBALDO, GIULIANA; MARSILI, NILDA R.; PÉREZ, ANA L.; SIANO, GABRIEL G.; PÉREZ, ANA L.; SIANO, GABRIEL G.; SÁNCHEZ, GERMÁN H.; SCHENONE, AGUSTINA V.; SÁNCHEZ, GERMÁN H.; SCHENONE, AGUSTINA V.

A novel fluorimetric method for glyphosate and AMPA determination with NBD-Cl and MCR-ALS

SPECTROCHIMICA ACTA. PART A, MOLECULAR AND BIOMOLECULAR SPECTROSCOPY.; Lugar: Amsterdam; Año: 2019 vol. 214 p. 119 - 128

STEGMAYER, GEORGINA; GERARD, MATIAS; BUGNON, LEANDRO A; MILONE, DIEGO H; RUBIOLO, MARIANO; YONES, CRISTIAN; RAAD, JONATHAN; DI PERSIA, LEANDRO E; PIVIDORI, MILTON; RODRIGUEZ, TADEO

Predicting novel microRNA: a comprehensive comparison of machine learning approaches

BRIEFINGS IN BIOINFORMATICS; Lugar: Oxford; Año: 2019 vol. 20 p. 1607 - 1620

PIVIDORI, MILTON; CARRARI, FERNANDO; PIVIDORI, MILTON; CARRARI, FERNANDO; CERNADAS, ANDRES; STEGMAYER, GEORGINA; CERNADAS, ANDRES; STEGMAYER, GEORGINA; DE HARO, LUIS A; MILONE, DIEGO H; DE HARO, LUIS A; MILONE, DIEGO H

Clustermatch: discovering hidden relations in highly diverse kinds of qualitative and quantitative data without standardization (IF 7.307)

BIOINFORMATICS (OXFORD, ENGLAND); Año: 2019 vol. 35 p. 1931 - 1939

GUIDO SANCHEZ; DENIZ, NESTOR NAHUEL; LUCAS MANUEL GENZELIZ; MARINA MURILLO; GIOVANINI, LEONARDO L.

Multiple model approach for robust state estimation in presence of model uncertainty and bounded disturbances

arxiv; Lugar: New York; Año: 2019

GUIDO SANCHEZ; GIOVANINI, LEONARDO L.; LUCAS MANUEL GENZELIZ; MARINA MURILLO; DENIZ, NESTOR N.

A Receding Horizon Framework for Autonomy in Unmanned Vehicles

arxiv; Lugar: New York; Año: 2019

GUIDO SANCHEZ; DENIZ, NESTOR NAHUEL; LUCAS MANUEL GENZELIZ; MARINA MURILLO; GIOVANINI, LEONARDO L.

Simultaneous state estimation and control for nonlinear systems subject to bounded disturbances

arxiv; Lugar: New York; Año: 2019

ECHEVESTE, RODRIGO; KARIM, MUHAMMAD KAISER ABDUL; O'NEILL, JOHN S.; TOURIGNY, DAVID S.; KOTTER, MARK R. N.

Energetic substrate availability regulates synchronous activity in an excitatory neural network

PLOS ONE; Año: 2019 vol. 14

SILVA, RAFAEL MARINI; DOKANIA, PUNEET KUMAR; FERRANTE, ENZO; PARAGIOS, NIKOS

Weakly Supervised Learning of Metric Aggregations for Deformable Image Registration

IEEE Journal of Biomedical and Health Informatics; Año: 2019 vol. 23 p. 1374 - 1384

BHALODIYA, JAYENDRA M.; TIWARI, MANOJ K.; WILLIAMS, MARK A.; FERRANTE, ENZO; ARVANITIS, THEODOROS N.; PALIT, ARNAB; BHUDIA, SUNIL K.

Hierarchical Template Matching for 3D Myocardial Tracking and Cardiac Strain Estimation

Scientific Reports; Año: 2019 vol. 9

GARCÍA CENA, C.E.; LARRAZABAL, A.J.; MARTÍNEZ, C.E.

Video-oculography eye tracking towards clinical applications: A review

COMPUTERS IN BIOLOGY AND MEDICINE; Año: 2019 vol. 108 p. 57 - 66

BUGNON, L.A.; MILONE, D.H.; YONES, C.; STEGMAYER, G.; RAAD, J.

Genome-wide hairpins datasets of animals and plants for novel miRNA prediction

Data in Brief; Lugar: Amsterdam; Año: 2019 vol. 25

CASAL, RAMIRO; CASAL, RAMIRO; SCHLOTTHAUER, GASTÓN; SCHLOTTHAUER, GASTÓN; DI PERSIA, LEANDRO E.; DI PERSIA, LEANDRO E.

Sleep-wake stages classification using heart rate signals from pulse oximetry

Heliyon; Año: 2019 vol. 5 p. 1 - 12

VIGNOLO, LEANDRO D.; VIGNOLO, LEANDRO D.; MARTÍNEZ, CÉSAR E.; MARTÍNEZ, CÉSAR E.; ALBORNOZ, ENRIQUE M.; ALBORNOZ, ENRIQUE M.

Exploring feature extraction methods for infant mood classification

AI COMMUNICATIONS; Lugar: Virginia; Año: 2019 vol. 32 p. 191 - 206

CLAVERO, FEDERICO; VATTUONE, NICOLÁS; SAMENGO, INÉS; DA FONSECA, MARÍA; ECHEVESTE, RODRIGO

The subjective metric of remembered colors: A Fisher-information analysis of the geometry of human chromatic memory

PLOS ONE; Año: 2019 vol. 14 p. 1 - 30

KAMENETZKY, LAURA; BERRIMAN, MATT; MACCHIAROLI, NATALIA; YONES, CRISTIAN; OLSON, PETER D.; CUCHER, MARCELA; BUGNON, LEANDRO; ROSENZVIT, MARA CECILIA

Identification and expression profiling of microRNAs in Hymenolepis

INTERNATIONAL JOURNAL FOR PARASITOLOGY; Lugar: Amsterdam; Año: 2019 vol. 49 p. 211 - 223

D. H. MILONE; M. RUBIOLO; G. STEGMAYER

Extreme learning machines for reverse engineering of gene regulatory networks from expression time series

BIOINFORMATICS (OXFORD, ENGLAND); Lugar: Oxford; Año: 2018 vol. 34 p. 1253 - 1260

MILONE, D. H.; STEGMAYER, G.; YONES, C.

Genome-wide pre-miRNA discovery from few labeled examples

BIOINFORMATICS (OXFORD, ENGLAND); Lugar: Oxford; Año: 2018 vol. 34 p. 541 - 549

MILONE, D.H.; BAYA, A.; STEGMAYER, G.; LEALE, G.; GRANITTO, P.

Inferring unknown biological functions by integration of GO annotations and gene expression data

IEEE-ACM TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS; Lugar: Los Alamitos, CA, USA; Año: 2018 vol. 15 p. 168 - 180

CHELOTTI, JOSÉ O.; GIOVANINI, LEONARDO L.; VANRELL, SEBASTIÁN R.; RUFINER, H. LEONARDO; GALLI, JULIO R.

A pattern recognition approach for detecting and classifying jaw movements in grazing cattle

COMPUTERS AND ELETRONICS IN AGRICULTURE; Año: 2018 vol. 145 p. 83 - 91

DI PERSIA, LEANDRO E.; SPIES, RUBEN D.; IBARROLA, FRANCISCO J.

A Bayesian approach to convolutive nonnegative matrix factorization for blind speech dereverberation

SIGNAL PROCESSING; Año: 2018 vol. 151 p. 89 - 98

ATUM, Y.; MEDINA BAÑUELOS, V.; GAREIS, I.; RUFINER, L.; ACEVEDO, R.; BIURRUN MANRESA, J.

A comparison of feature extraction strategies using wavelet dictionaries and feature selection methods for single trial P300-based BCI

MEDICAL AND BIOLOGICAL ENGINEERING AND COMPUTING; Lugar: HEIDELBERG; Año: 2018 p. 1 - 12

VANRELL, SEBASTIÁN R.; UTSUMI, SANTIAGO A.; MILONE, DIEGO H.; CHELOTTI, JOSÉ O.; GIOVANINI, LEONARDO L.; GALLI, JULIO R.; RUFINER, H. LEONARDO

A regularity-based algorithm for identifying grazing and rumination bouts from acoustic signals in grazing cattle (IF 2.201)

COMPUTERS AND ELETRONICS IN AGRICULTURE; Lugar: Amsterdam; Año: 2018 vol. 151 p. 392 - 402

RUFINER, HUGO LEONARDO; VANRELL, SEBASTIAN RODRIGO; MILONE, DIEGO HUMBERTO

Assessment of Homomorphic Analysis for Human Activity Recognition from Acceleration Signals

IEEE Journal of Biomedical and Health Informatics; Año: 2018 vol. 22 p. 1001 - 1010

MILONE, DIEGO H.; SCHLÜTER, FEDERICO; BROMBERG, FACUNDO; STRAPPA, YANELA

Blankets Joint Posterior score for learning Markov network structures

INTERNATIONAL JOURNAL OF APPROXIMATE REASONING; Año: 2018 vol. 92 p. 295 - 320

GAREIS, IVAN EMILIO; RUFINER, HUGO LEONARDO; DI PERSIA, LEANDRO EZEQUIEL; ROLON, ROMÁN EMANUEL; SPIES, RUBÉN DANIEL

Complexity-based discrepancy measures applied to detection of apnea-hypopnea events

COMPLEXITY; Lugar: New York; Año: 2018 vol. 2018 p. 1 - 18

ESCUDERO, JAVIER; SCHLOTTHAUER, GASTÓN; RUFINER, HUGO L.; HUMEAU-HEURTIER, ANNE

Measuring Complexity of Biomedical Signals

COMPLEXITY; Lugar: New York; Año: 2018 vol. 2018 p. 1 - 3

LEANDRO DI PERSIA; MILTON PIVIDORI; TADEO RODRIGUEZ; MARIANO RUBIOLO; CRISTIAN YONES; JONATHAN RAAD; GEORGINA STEGMAYER; MATIAS GERARD; LEANDRO BUGNON; DIEGO MILONE

Predicting novel microRNA: a comprehensive comparison of machine learning approaches (IF 5.134))

BRIEFINGS IN BIOINFORMATICS; Lugar: Oxford; Año: 2018

GERARD, MATIAS F.; STEGMAYER, GEORGINA; MILONE, DIEGO H.

Metabolic pathways synthesis based on ant colony optimization

Scientific Reports; Año: 2018 vol. 8

PIVIDORI, MILTON; IM, HAE KYUNG

ukbREST: efficient and streamlined data access for reproducible research in large biobanks

BIOINFORMATICS (OXFORD, ENGLAND); Año: 2018

NESTOR NAHUEL DENIZ; LEONARDO GIOVANINI; GUIDO SÁNCHEZ; MARINA MURILLO; LUCAS GENZELIS

MPC for nonlinear systems: A comparative review of discretization methods

IEEE SPECTRUM; Lugar: New York; Año: 2017

LUCAS GENZELIS; MARINA MURILLO; LEONARDO GIOVANINI; GUIDO SÁNCHEZ

A Real-Time Path-Planning Algorithm based on Receding Horizon Techniques

JOURNAL OF INTELLIGENT & ROBOTIC SYSTEMS; Año: 2017 vol. 91 p. 445 - 457

LEANDRO E. DI PERSIA; ROMÁN ROLON; RUBÉN SPIES; LUIS LARRATEGUY; HUGO LEONARDO RUFINER

Discriminative methods based on sparse representations of pulse oximetry signals for sleep apnea-hypopnea detection

BIOMEDICAL SIGNAL PROCESSING AND CONTROL; Lugar: Amsterdam; Año: 2017 vol. 33 p. 358 - 367

DENIZ, NESTOR N.; PLANISICH, ALEJANDRA M.; GIOVANINI, LEONARDO L.; CHELOTTI, JOSÉ O.; LARRIPA, MARCELO J.; GALLI, JULIO R.; LEONARDO RUFINER, H.

Embedded system for real-time monitoring of foraging behavior of grazing cattle using acoustic signals

COMPUTERS AND ELETRONICS IN AGRICULTURE; Año: 2017 vol. 138 p. 167 - 174

RUBÉN D. SPIES; GISELA L. MAZZIERI; FRANCISCO J. IBARROLA; KARINA G. TEMPERINI

Anisotropic BV-L2 regularization of linear inverse ill-posed problems

JOURNAL OF MATHEMATICAL ANALYSIS AND APPLICATIONS; Lugar: Amsterdam; Año: 2017 vol. 450 p. 427 - 443

MACCHIAROLI, NATALIA; ASURMENDI, SEBASTIÁN; KAMENETZKY, LAURA; LICHTENSTEIN, GABRIEL; MILONE, DIEGO HUMBERTO; CUCHER, MARCELA; PÉREZ, MATÍAS GASTÓN; CONTI, GABRIELA; STEGMAYER, GEORGINA; ROSENZVIT, MARA CECILIA

MicroRNA analysis of Taenia crassiceps cysticerci under praziquantel treatment and genome-wide identification of Taenia solium miRNAs

INTERNATIONAL JOURNAL FOR PARASITOLOGY; Año: 2017 vol. 47 p. 643 - 653

MILONE, D H; YONES, C; STEGMAYER, G

Genome-wide pre-miRNA discovery from few labeled examples

BIOINFORMATICS (OXFORD, ENGLAND); Año: 2017 vol. 34 p. 541 - 549

VIGNOLO, LEANDRO; RUFINER, HUGO LEONARDO; SCHLOTTHAUER, GASTÓN; PRASANNA, S. R. M.; SHARMA, RAJIB; COLOMINAS, MARCELO ALEJANDRO

Empirical Mode Decomposition for adaptive AM-FM analysis of Speech: A Review

SPEECH COMMUNICATION; Lugar: Amsterdam; Año: 2017 vol. 88 p. 39 - 64

SPIES, RUBEN DANIEL; PETERSON, VICTORIA; RUFINER, HUGO LEONARDO

Generalized Sparse Discriminant Analysis for Event-Related Potential Classification

BIOMEDICAL SIGNAL PROCESSING AND CONTROL; Lugar: Amsterdam; Año: 2017 vol. 35 p. 70 - 78

MILONE, D.H.; ALBORNOZ, E.M.

Emotion recognition in never-seen languages using a novel ensemble method with emotion profiles

IEEE Transactions on Affective Computing; Año: 2017 vol. 8 p. 43 - 53

STEGMAYER, G; RUBIOLO, M; MILONE, D H

Extreme learning machines for reverse engineering of gene regulatory networks from expression time series

BIOINFORMATICS (OXFORD, ENGLAND); Año: 2017 p. 1253 - 1260

LEANDRO V. VIGNOLO; ALBORNOZ, ENRIQUE M.; SARQUIS, JUAN A.; LEON, EVELINA J.

Automatic classification of Furnariidae species from the Paranaense Littoral region using speech-related features and machine learning

ECOLOGICAL INFORMATICS; Lugar: Amsterdam; Año: 2017 vol. 38 p. 39 - 49

GUIDO SÁNCHEZ; MARINA MURILLO; LEONARDO GIOVANINI

Adaptive arrival cost update for improving Moving Horizon Estimation performance

ISA TRANSACTIONS.; Lugar: Amsterdam; Año: 2017 vol. 68 p. 54 - 62

MARINA MURILLO; LEONARDO GIOVANINI; LUCAS GENZELIS; GUIDO SANCHEZ; NESTOR NAHUEL DENIZ

Modeling and control of an agricultural articulated vehicle carrying an implement

IEEE SPECTRUM; Lugar: New York; Año: 2017

MILONE, DIEGO HUMBERTO; BUGNON, LEANDRO ARIEL; CALVO, RAFAEL A.

Dimensional Affect Recognition from HRV: an Approach Based on Supervised SOM and ELM

IEEE Transactions on Affective Computing; Lugar: Piscataway; Año: 2017 p. 1 - 1

LEANDRO VIGNOLO; IVAN GAREIS; HUGO RUFINER; RUBEN SPIES

Coherent averaging estimation autoencoders applied to evoked potentials processing

NEUROCOMPUTING; Lugar: Amsterdam; Año: 2017 vol. 240 p. 47 - 58

SHARMA, RAJIB; PRASANNA, S. R. M.; RUFINER, HUGO LEONARDO; SCHLOTTHAUER, GASTÓN

Detection of the Glottal Closure Instants Using Empirical Mode Decomposition

CIRCUITS SYSTEMS AND SIGNAL PROCESSING; Año: 2017

RUBÉN D. SPIES; FRANCISCO J. IBARROLA

A two-step mixed inpainting method with curvature-based anisotropy and spatial adaptivity

INVERSE PROBLEMS AND IMAGING; Lugar: springfield; Año: 2017 vol. 11 p. 247 - 262

PARAGIOS, NIKOS; FERRANTE, ENZO

Slice-to-volume medical image registration: A survey

MEDICAL IMAGE ANALYSIS; Año: 2017 vol. 39 p. 101 - 123

FERRANTE, ENZO; PARAGIOS, NIKOS

Graph-Based Slice-to-Volume Deformable Registration

INTERNATIONAL JOURNAL OF COMPUTER VISION; Año: 2017

SÁNCHEZ-GUTIÉRREZ, MÁXIMO; ALBORNOZ, ENRIQUE M.; RUFINER, HUGO L.; CLOSE, JOHN GODDARD

Post-training discriminative pruning for RBMs

Soft Computing; Año: 2017 p. 1 - 15

STEGMAYER, G.; MILONE, D.H.; KAMENETZKY, L.; YONES, C.A.

High class-imbalance in pre-miRNA prediction: a novel approach based on deepSOM (IF 1.438)

IEEE-ACM TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS; Lugar: Los Alamitos, CA, USA; Año: 2017 vol. 14 p. 1316 - 1326

ALBORNOZ, E.M.; RUFINER, H.L.; MILONE, D.H.

Feature extraction based on bio-inspired model for robust emotion recognition (IF 1.271)

SOFT COMPUTING - (Print); Lugar: Berlin; Año: 2017 vol. 21 p. 5145 - 5158

DI PERSIA, LEANDRO EZEQUIEL

Separación ciega de fuentes sonoras: revisión histórica y desarrollos recientes

Anales de la Academia Nacional de Ciencias Exactas, Físicas y Naturales de Buenos Aires; Año: 2017 p. 45 - 62

CANGIANO, C. A.; MILONE, D. H.; GALLI, J. R.; LARRIPA, M. J.; LACA, E. A.; PECE, M. A.; UTSUMI, S. A.

Monitoring and assessment of ingestive chewing sounds for prediction of herbage intake rate in grazing cattle

ANIMAL; Año: 2017 vol. 12 p. 973 - 982

DIEGO H. MILONE; ENRIQUE M. ALBORNOZ; HUGO L. RUFINER

Feature Extraction based on Bio-inspired Model for Robust Emotion Recognition

SOFT COMPUTING - (Print); Lugar: Berlin; Año: 2016 vol. 20 p. 1 - 14

A. ESTEPA; S. SPONTÓN PIRIZ; C. MARTÍNEZ; E. ALBORNOZ

Development of a Kinect-based exergaming system for motor rehabilitation in neurological disorders

Journal of Physics: Conference Series; Año: 2016 vol. 705 p. 1 - 9

MILTON PIVIDORI; DIEGO MILONE; GEORGINA STEGMAYER

Diversity control for improving the analysis of consensus clustering (IF 4.038)

INFORMATION SCIENCES; Lugar: Amsterdam; Año: 2016 vol. 361 p. 120 - 134

STEGMAYER, G.; MILONE, D.; YONES C; KAMENETZKY, L.

High class-imbalance in pre-miRNA prediction: a novel approach based on deepSOM

IEEE-ACM TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS; Lugar: Los Alamitos, CA, USA; Año: 2016

LEANDRO D. VIGNOLO; PRASANNA, S. R. M.; DANDAPAT, S.; DIEGO H. MILONE; HUGO LEONARDO RUFINER

Feature optimisation for stress recognition in speech

PATTERN RECOGNITION LETTERS; Lugar: Amsterdam; Año: 2016 vol. 84 p. 1 - 7

GEORGINA STEGMAYER; DIEGO MILONE; MILTON PIVIDORI

A very simple and fast way to access and validate algorithms in reproducible research (IF 9.617)

BRIEFINGS IN BIOINFORMATICS; Lugar: Oxford; Año: 2016 vol. 17 p. 180 - 183

STEGMAYER, GEORGINA; MILONE, DIEGO; CAMPO, DAVID

A new index for clustering validation with overlapped clusters

EXPERT SYSTEMS WITH APPLICATIONS; Lugar: Amsterdam; Año: 2016 vol. 64 p. 549 - 556

LEONARDO GIOVANINI; LEONARDO GIOVANINI; GUIDO SANCHEZ; GUIDO SANCHEZ; MARINA MURILLO; MARINA MURILLO

Iterated non-linear model predictive control based on tubes and contractive constraints

ISA TRANSACTIONS.; Lugar: Amsterdam; Año: 2016 vol. 62 p. 120 - 128

LEANDRO EZEQUIEL DI PERSIA; DIEGO HUMBERTO MILONE; LEANDRO EZEQUIEL DI PERSIA; DIEGO HUMBERTO MILONE

Using Multiple Frequency Bins for Stabilization of FD-ICA Algorithms

SIGNAL PROCESSING; Lugar: Amsterdam; Año: 2016 vol. 119 p. 162 - 168

MILONE D. H.; GERARD M.; STEGMAYER G.

Evolutionary algorithm for metabolic pathways synthesis

BIOSYSTEMS; Lugar: Amsterdam; Año: 2016 vol. 144 p. 55 - 67

LAURA KAMENETZKY; NATALIA MACCHIAROLI; LUCAS MALDONADO; DIEGO MILONE; GEORGINA STEGMAYER; CRISTIAN YONES

MicroRNA discovery in the human parasite Echinococcus multilocularis from genome-wide data

GENOMICS; Lugar: Amsterdam; Año: 2016 vol. 107 p. 274 - 280

LOPEZ L; GIOVANINI L; MANZOLI D; BELDOMENICO P

A myiasis model for Philornis torquans (Diptera: Muscidae) and Pitangus sul-phuratus (Passeriformes: Tyrannidae)

ECOLOGICAL MODELLING; Lugar: Amsterdam; Año: 2016 vol. 328 p. 62 - 71

HUGO L. RUFINER; DIEGO H. MILONE; LEANDRO D. VIGNOLO

Multi-objective optimisation of wavelet features for phoneme recognition

IET SIGNAL PROCESSING; Año: 2016 vol. 10 p. 685 - 694

SEBASTIÁN RODRIGO VANRELL; JULIO GALLI; DIEGO HUMBERTO MILONE; HUGO LEONARDO RUFINER; JOSÉ OMAR CHELOTTI; SANTIAGO A. UTSUMI; LEONARDO GIOVANINI

A real-time algorithm for acoustic monitoring of ingestive behavior of grazing cattle

COMPUTERS AND ELETRONICS IN AGRICULTURE; Lugar: Amsterdam; Año: 2016 vol. 127 p. 64 - 75