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Advanced Data Analysis Techniques

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D.14 (Dep. of Physics, FCTUC)

D.14

Dep. of Physics, FCTUC
Description
 

The workshop consists of student presentations of:

Scientific article reviews: up to 5 min followed by a discussion

Machine learning projects: 10 min followed by a discussion

Zoom link: https://videoconf-colibri.zoom.us/j/86059441123?pwd=RVZHOE9EVkZUNUZZR3lkcTc0T2RvZz09

course: Advanced Data Analysis Techniques

degree/university: MEF/MF - UC, 1st semester 2021/2022

profs: R. Gonçalo, F. Veloso, M. Ferreira, R. Pedro, P. Brás, M. Romão, T.Cerqueira

    • 08:30 → 08:35
      Automatic Feature Extraction for Heartbeat Anomaly Detection 5m

      https://arxiv.org/abs/2102.12289

      Speaker: Beatriz Santos
      AutomaticFeatureExtractionforPhonocardiogramHeartbeatAnomalyDetection.pptx
    • 08:40 → 08:45
      Automatic Segmentation and Classification of Heart Sounds Using Modified Empirical Wavelet Transform and Power Features 5m

      https://www.mdpi.com/2076-3417/10/14/4791

      Speaker: Francisco Relvão
      franciscoRelvao.pdf
    • 08:50 → 09:00
      Audio analysis: measuring heart rate and classifying heart sounds 10m
      Speakers: Beatriz Santos, Francisco Relvão
      Apresenta_Projeto.pdf
    • 09:05 → 09:10
      Phonocardiographic Sensing using Deep Learning for Abnormal Heartbeat Detection 5m

      https://arxiv.org/abs/1801.08322

      Speaker: Sílvia Santos
      Phonocardiographic Sensing using Deep Learning .pdf
    • 09:15 → 09:20
      Heartbeat Sound Signal Classification Using Deep Learning 5m

      https://www.mdpi.com/1424-8220/19/21/4819

      Speaker: Nicole Duarte
      Classifying Heart Sounds.pdf
    • 09:25 → 09:35
      Audio analysis: measuring heart rate and classifying heart sounds 10m
      Speakers: Nicole Duarte, Sílvia Santos
      PROJETO.pdf
    • 09:40 → 09:45
      Deep Learning for the Classification of Quenched Jets 5m

      https://arxiv.org/abs/2106.08869

      Speaker: Gonçalo Gouveia
      TAAD.pptx
    • 09:50 → 09:55
      Energy reconstruction in a liquid argon calorimeter cell using convolutional neural networks 5m

      https://arxiv.org/abs/2109.05124

      Speaker: António Caramelo
      artigo_a_Caramelo.pdf
    • 10:00 → 10:10
      Machine Learning for detector design, modelling the TileCal degradation history as a use case 10m
      Speakers: António Caramelo, Gonçalo Gouveia
      ProjetoTAAD_2 (2).pptx
    • 10:15 → 10:20
      On the Use of Neural Networks for Energy Reconstruction in High-granularity Calorimeters 5m

      https://arxiv.org/abs/2107.10207

      Speaker: Hugo Costa
      Apresentação artigo 04_02_2022.pptx
    • 10:25 → 10:30
      Calorimetry with Deep Learning: Particle Simulation and Reconstruction for Collider Physics 5m

      https://arxiv.org/abs/1912.06794

      Speaker: Seomara Felix
      PPT artigo_Seomara Félix.pdf
    • 10:35 → 10:45
      Machine Learning for detector design, modelling the TileCal degradation history as a use case 10m
      Speakers: Hugo Costa, Seomara Felix
      Project Presentation.pdf
    • 10:50 → 11:05
      Coffee break 15m
    • 11:10 → 11:15
      Compressing physics with an autoencoder: Creating an atomic species representation to improve machine learning models in the chemical sciences 5m

      https://indico.lip.pt/event/1187/manage/timetable/#20220204

      Speaker: Bernardo Martins
      Creating an atomic species representation to improve machine_bernardo.pdf
    • 11:20 → 11:25
      Machine learning modeling of superconducting critical temperature 5m

      https://www.nature.com/articles/s41524-018-0085-8

      Speaker: Gonçalo Dias
      Apresentação TAAD-Goncalo_Dias.pdf
    • 11:30 → 11:40
      Machine Learning in Material Science 10m
      Speaker: Bernardo Martins
      Predicting the Volume of Solids Combining Density Functional_bernardo.pdf
    • 11:45 → 11:55
      Machine Learning in Material Science 10m
      Speaker: Gonçalo Martins
    • 12:00 → 12:10
      Nuclear matter properties: Supervised Machine Learning Approach 10m
      Speaker: Valéria Carvalho
      tad_art.pdf
    • 12:15 → 12:20
      Finding New Physics without learning about it: Anomaly Detection as a tool for Searches at Colliders 5m

      https://arxiv.org/abs/2006.05432

      Speaker: Patricia Ferreira
      FindingNewPhysicsWithoutLearningAboutIt.pdf
    • 12:25 → 12:35
      Anomaly detection for ATLAS trigger processing 10m
      Speaker: Patricia Ferreira
      AnomalyDetection.pdf
    • 12:40 → 12:45
      The SAMME.C2 algorithm for severely imbalanced multi-class classification 5m

      https://arxiv.org/abs/2112.14868

      Speaker: João Silva
      apresentação artigo_taad - cópia.pptx
    • 12:50 → 12:55
      Random decision forests 5m

      https://ieeexplore.ieee.org/document/598994

      Speaker: Jorge Silva
      JorgeSilvaTAAD - Artigo.pdf
    • 13:00 → 13:10
      Classification of pulses in the LUX-ZEPLIN dark matter detector 10m
      Speakers: Jorge Silva, João Silva
      apresentação projeto_taad-2.pptx
    • 13:15 → 13:25
      Classification of pulses in the LUX-ZEPLIN dark matter detector 10m
      Speakers: Helena Lessa, Patricia Pesch
      LZ_pulse_classification_Final_presentation.pdf
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