BigDataArgentina2013 Diego Milone - Fundación Sadosky · Machine learning and signal processing Bioinformatics,biomedicaltechnology,energy,speech,video,... BigDataArgentina2013 Diego

Machine learning and signal processingBioinformatics, biomedical technology, energy, speech, video,...

Big Data Argentina 2013

Diego Milone

s inc( ) i C O N I C E TC O N I C E T

Research Center for Signals,Systems and Computational Intelligence

Departament of InformaticsFaculty of Engineering and Water Sciences (FICH)

Universidad Nacional del Litoral (UNL)National Scientific and Technical Research Council (CONICET)

August 27, 2013

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About sinc(i) Big data?

People at sinc(i)Research Staff

Cesar E. Martínez UNL-UNERDiego H. Milone CONICET-UNLDiego R. Tomassi CONICET-UNLGastón Schlotthauer UNER∗CONICETGeorgina S. Stegmayer CONICET-UTN-UNLLeandro E. Di Persia CONICET-UNLLeandro D. Vignolo CONICET-UNLLeonardo L. Giovanini CONICET-UNLH. Leonardo Rufiner CONICET-UNL-UNERE. Marcelo Albornoz CONICET-UNLMaría Eugenia Torres UNER∗UNL-CONICET

Diego Milone (sinc(i)-UNL-CONICET) BigDatAr: Machine Learning & Signal Proc. August 27, 2013 2 / 32

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Graduate StudentsAnalía ChernizCarlos Pais+

David CampoFernando Sato+

Guido SanchezGuillermo LealeIván GareisIván Peralta+

José ChelottiLeandro BugnonLeonardo LópezMatías GerardMariano RubioloMariela UhrigMarina Murillo

Milton PividoriRomán RolónRubén AcevedoSebastián VanrellSergio Burgos+

Tomás Molas Gimenez


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Undergraduate StudentsAlejandro FortvillaAlejandro SartoriBrisa BasconselCarim FadilCecilia BalestieriCésar ArrasinCristian YonesFernando Guerin

Franco VictorioEloisa ColignanHilarie GrieveLeandro BurruchagaMarcelo CaamañoMaría ChelottiMartín Musachio

Neri CibauNicolás MastagliaPablo SosaRamiro AlvarezRomina GalarzaWalter Schulte


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Former StudentsAlejandro AzarioAlejandro RonsoniBelén CrollaCarlos Sánchez Reinoso+

Carolina GómezCristian PfarherDamián RichterDiego Evin+

David HaimovichEsteban OsellaGermán ScarelGerman BurgenerGuillermo KorellJuaquín BarreiroJuan Barletta

Juan Pablo VogtLeandro PerrenMatías MeurzetMauro TorrezMónica LaresseSoledad Padron


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Big Data 4V∗

∗Modified from SIAM News, Volume 46, Number 6, July/August 2013.


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Big Data 4V∗



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Big Data 4V∗



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Big Data 4V∗



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Big Data 4V: Bioinformatics


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RILsAminoacids

SugarsOrganic acids

Fatty acidsSecondary mets.

Yield traits

Neuron 12

{SSPro

Neuron 7

Fruit firmnessShelf lifeGlycerateMalateFru (inv)


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Big Data 4V: *omesom screenshot


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Proyects:Self-Organization in *omic dataData Integration and Ensemble ClusteringBiological Clustering from Gene OntologyEvolutionary Metabolic Pathway DiscoveryInference of Gene Regulatory NetworksmiRNA Prediction


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Proyects:Self-Organization in *omic dataData Integration and Ensemble ClusteringBiological Clustering from Gene OntologyEvolutionary Metabolic Pathway DiscoveryInference of Gene Regulatory NetworksmiRNA Prediction


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Big Data 4V: Audio, image, video


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Speech recognition

t “ en que ”

Speech signal Signal processing and analysis Pattern recognition

Text

ASR System

The problem complexities:Speech continuity, context dependenceInter/intra speaker variabilityThe structures of speechNoise and other distortions

Types of speech recognizers:Vocabulary size: small medium large very large unrestrictedSpeakers: mono- multi- independentSpeaking styles: isolated connected read fluent spontaneousDistortions: robust/non-robust speech recognition


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The speech recognition model

ASR System


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s ( t ) s [ m , k ]

silencio el sótano silencio B E

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está en del comedor

Feature extractionClassifierLanguage model


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Feature extractionIndependent Component Analisys in Blind Source SeparationMultiresolution EntropiesLinear-Predictive Sparse CodingEvolutionary Optimization of Wavelet Packets and Filterbanks

ClassifierLanguage model


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Feature extractionClassifier

Sparse Representations and Classifier EnsemblesCortical Neural NetworksHidden Markov Models with Hidden Markov Trees (HMM-HMT)Discriminative Training for HMM-HMTSpeech Segmentation based on Multiresolution Entropies

Language model


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Feature extractionClassifierLanguage model

Prosody in Language ModelsTime Variant Language Models


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Man-Machine interfaces:Emotions Recognition from Speech

Speaker Recognition

Face Identification

Hand Signs Recognition

Medical applications:Classification of Pathological Voices

Automatic Recognition of Obstructive Sleep Apnoea/Hypopnoea Syndrome

Automatic Detection of Cardiac Pathologies

Chromosome Recognition


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Masticatory events: Big Data?


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Hidden Markov Models

S Esil sil

bite

chew

chew-bite


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Big Data 4V: Energy, smart grid, sensor data


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Simulation of photovoltaic centrals with dynamic shading


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Evolutionary design of photovoltaic centrals


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Complex Systems:Biological systems:

MetabolismEcologyEpidemiology...

Vehicle autonomy:Vehicle controlAssistive technologyEngine operation...

Networked systems:Power generation and distribution systemsCommunication systems...


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Signal Processing for Magnetic Resonance Solutions


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Signal Processing for Magnetic Resonance Solutions

104

105

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00.010.02

T2

103

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106

0.0050.01

0.0150.02

T1

NMF, α optimo: 0.70215

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x 106

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103

104

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00.010.02

T2

103

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0.0050.01

0.0150.02

0.025

T1

NMF, α optimo: 0.62319

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x 106

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Thank you!

Machine learning and signal processingBioinformatics, biomedical technology, energy, speech, video,...

Big Data Argentina 2013

Diego Milone

s inc( ) i C O N I C E TC O N I C E T

Research Center for Signals,Systems and Computational Intelligence

www.fich.unl.edu.ar/sinc

Departament of InformaticsFaculty of Engineering and Water SciencesUniversidad Nacional del Litoral - CONICET

Ciudad Universitaria UNL - 3000 - Santa Fe - Argentina

www.fich.unl.edu.ar/sinc

Documents

BigDataArgentina2013 Diego Milone - Fundación Sadosky · Machine learning and signal processing Bioinformatics,biomedicaltechnology,energy,speech,video,... BigDataArgentina2013 Diego