Advanced Data Analysis Techniques
D.14
Dep. of Physics, FCTUC
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 Techniquesdegree/university: MEF/MF - UC, 1st semester 2021/2022
profs: R. Gonçalo, F. Veloso, M. Ferreira, R. Pedro, P. Brás, M. Romão, T.Cerqueira
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08:30
→
08:35
Automatic Feature Extraction for Heartbeat Anomaly Detection 5m
https://arxiv.org/abs/2102.12289
Speaker: Beatriz Santos -
08:40
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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 -
08:50
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09:00
Audio analysis: measuring heart rate and classifying heart sounds 10mSpeakers: Beatriz Santos, Francisco Relvão
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09:05
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09:10
Phonocardiographic Sensing using Deep Learning for Abnormal Heartbeat Detection 5m
https://arxiv.org/abs/1801.08322
Speaker: Sílvia Santos -
09:15
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09:20
Heartbeat Sound Signal Classification Using Deep Learning 5m
https://www.mdpi.com/1424-8220/19/21/4819
Speaker: Nicole Duarte -
09:25
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09:35
Audio analysis: measuring heart rate and classifying heart sounds 10mSpeakers: Nicole Duarte, Sílvia Santos
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09:40
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09:45
Deep Learning for the Classification of Quenched Jets 5m
https://arxiv.org/abs/2106.08869
Speaker: Gonçalo Gouveia -
09:50
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09:55
Energy reconstruction in a liquid argon calorimeter cell using convolutional neural networks 5m
https://arxiv.org/abs/2109.05124
Speaker: António Caramelo -
10:00
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10:10
Machine Learning for detector design, modelling the TileCal degradation history as a use case 10mSpeakers: António Caramelo, Gonçalo Gouveia
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10:15
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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 -
10:25
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10:30
Calorimetry with Deep Learning: Particle Simulation and Reconstruction for Collider Physics 5m
https://arxiv.org/abs/1912.06794
Speaker: Seomara Felix -
10:35
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10:45
Machine Learning for detector design, modelling the TileCal degradation history as a use case 10mSpeakers: Hugo Costa, Seomara Felix
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10:50
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11:05
Coffee break 15m
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11:10
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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 -
11:20
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11:25
Machine learning modeling of superconducting critical temperature 5m
https://www.nature.com/articles/s41524-018-0085-8
Speaker: Gonçalo Dias -
11:30
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11:40
Machine Learning in Material Science 10mSpeaker: Bernardo Martins
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11:45
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11:55
Machine Learning in Material Science 10mSpeaker: Gonçalo Martins
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12:00
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12:10
Nuclear matter properties: Supervised Machine Learning Approach 10mSpeaker: Valéria Carvalho
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12:15
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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 - 12:25 → 12:35
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12:40
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12:45
The SAMME.C2 algorithm for severely imbalanced multi-class classification 5m
https://arxiv.org/abs/2112.14868
Speaker: João Silva -
12:50
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12:55
Random decision forests 5m
https://ieeexplore.ieee.org/document/598994
Speaker: Jorge Silva -
13:00
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13:10
Classification of pulses in the LUX-ZEPLIN dark matter detector 10mSpeakers: Jorge Silva, João Silva
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13:15
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13:25
Classification of pulses in the LUX-ZEPLIN dark matter detector 10mSpeakers: Helena Lessa, Patricia Pesch
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08:30
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08:35