Week 4: Research Datasets

Announcements

  • Lab 3 is due 02/08 by 23:59 EST.

  • Lab 4 will be available Wednesday 02/09. It is a team assignment.

  • Lectures and labs this week are In Person, office hours are via ZOOM.

  • Lectures video recordings are in our shared Google folder.

  • Class participation, EdSTEM, Figma, and the Group 4 of The six groups for lecture notes.

Week 4 Topics

  • Research Datasets

  • Your Datasets

  • Linear Discriminant Analysis (LDA)

  • Support Vector Machine (SVM)

Monday

Datasets

  • Type 1, No Datasets

  • Type 2, Using Existing Datasets

  • Type 3, Collect your own Dataset

EEGEyeNet_2021

Craik_2019

  • Where to locate Datasets

  • Paper PDF File

  • 3.5. Case studies on a shared dataset

  • An emotion recognition dataset (DEAP, [56], used in ten studies, cited by 2616)

  • A mental workload dataset ([57], used in four studies)

  • Two motor imagery datasets from the same BCI competition ([58])

Publicly Available Datasets

In-class exercises:

  • Explain to your classmates which research dataset(s) you are interested in

  • Post it on Figma

  • Keywords

  • Availability

Roy_2019

  • Where to locate Datasets

  • Paper PDF File

  • 3.3. Data

  • 3.8. Reproducibility

  • Table 6. Most often used datasets by domain.

  • DEAP [91]

  • BCI Competition [26, 27, 160]

Lotte_2018

  • Where to locate Datasets

  • Paper PDF File

  • 4.3.2. State-of-the-art

  • BCI Competitions [103, 67, 4, 143, 10, 102, 35, 97]

Papers With Code (PWC)

Wednesday

How to Learn a Machine Learning Algorithm

Courses

Documentation

Hands-on Examples

Papers

  • Google Scholar, Papers With Code (PWC)

  • Lotte_2007 and Lotte_2018

  • Search Keywords' Linear discriminant analysis',

  • Cited by 3637, Sebastian_1999

    1. Mika, Sebastian, Gunnar Ratsch, Jason Weston, Bernhard Scholkopf, and Klaus-Robert Mullers. "Fisher discriminant analysis with kernels." In Neural networks for signal processing IX: Proceedings of the 1999 IEEE signal processing society workshop (cat. no. 98th8468), pp. 41-48. Ieee, 1999.

  • Cited by 818, Suresh_1998

    1. Balakrishnama, Suresh, and Aravind Ganapathiraju. "Linear discriminant analysis-a brief tutorial." Institute for Signal and information Processing 18, no. 1998 (1998): 1-8.

Your Research Problems

  • Poster, two-page

  • Paper, ten-page

Linear Discriminant Analysis (LDA)

  • Definition

  • Examples

  • Application in BCI

  • low computational requirement

  • Performance

  • Variations

Friday

Support Vector Machine (SVM)

  • Definition

  • Examples

  • Application in BCI

  • low computational requirement

  • Performance

  • Variations

Time Estimate

Reproductivity

  • Week 01 that how-to-find-mentor video and slides

  • Lab 4 example, EdSTEM discussion, author’s reply.

Dataset IRIS

More sk-learn examples

  • Classification

  • Clustering

  • Dataset examples

  • Decision Trees

  • Ensemble methods

  • Examples based on real world datasets

  • Feature Selection

  • Nearest Neighbors

  • Neural Networks

  • Semi Supervised Classification

  • Support Vector Machines

  • Tutorial exercises