Assignments
| Student | Supervisor | Topic |
|---|---|---|
| Hristijan Sardjoski | Meelis Kull | Activity recognition from accelerometers in SPHERE |
| Hele-Andra Kuulmets | Sven Laur | Phrase similarity measures that are robust to word order |
| Maksym Semikin | Tambet Matiisen | Sequence-aware recommendation system |
| Kristjan Veskimäe | Peep Küngas | Trade credit limit estimation with machine learning |
| Kevin Kanarbik | Jaak Ãœbi, Rajesh Sharma | An investigation on the relationship between inequality and growth |
| Simona Micevska | Sherif Sakr | Automated change detection in large datasets |
| Sebastian Värv | Amnir Hadachi | Travel time estimation based on raw GPS data |
| Sriyal jayasinghe | Kairit Sirts | Deep learning based textual entailment system for Sinhala language to support short answer grading |
| Nesma Almoazamy | Sherif Sakr | Benchmarking Deep Learning frameworks using CNN over various datasets |
| Tõnis Ojandu | Ezequiel Scott | Understanding team performance in agile software development |
| Mansur Alizada | PENDING | PENDING |
| Novin Shahroudi | Meelis Kull | Long-Horizon Forecasts with Expectation-Biased LSTM Networks |
Reasearch plan
| Student | Received | Defended |
|---|---|---|
| Hele-Andra Kuulmets | OK | Ok |
| Tõnis Ojandu | OK | FAIL |
| Novin Shahroudi | OK | Ok |
| Sriyal jayasinghe | OK | Ok |
| Maksym Semikin | OK | Ok |
| Kristjan Veskimäe | OK | Ok |
| Kevin Kanarbik | OK | Ok |
| Sebastian Värv | OK | Ok |
| Simona Micevska | OK | Ok |
| Hristijan Sardjoski | OK | Ok |
| Nesma Almoazamy | OK | Ok |
Defending assignments
- Natural Language processing
- Sriyal jayasinghe (Mark Fishel, Kairit Sirts)
- Hele-Andra Kuulmets (Kairit Sirts, Sven Laur)
- Deep Neural Nets
- Maksym Semikin (Sven Laur, Tambet Matiisen)
- Nesma Almoazamy (Meelis Kull, Tambet Matiisen)
- Novin Shahroudi (Sven Laur)
- Prediction tasks
- Kristjan Veskimäe (Meelis Kull)
- Sebastian Värv (Dmytro Fishman)
- Hristijan Sardjoski (Dmytro Fishman)
- Feature extraction and descriptive analysis
- Tõnis Ojandu (Sven Laur)
- Kevin Kanarbik (Sven Laur)
- Change detection and transfer learning
- Simona Micevska (Meelis Kull)
Reviewing tasks
The following table describes which persons you need to review. So find your row and review the persons who are in this row.
| Student | Reviewer 1 | Reviewer 2 | Extra eviewer |
|---|---|---|---|
| Hele-Andra Kuulmets | Sriyal jayasinghe | Sebastian Värv | |
| Novin Shahroudi | Maksym Semikin | Hele-Andra Kuulmets | |
| Sriyal jayasinghe | Hele-Andra Kuulmets | Simona Micevska | |
| Maksym Semikin | Novin Shahroudi | Sriyal jayasinghe | |
| Kristjan Veskimäe | Hristijan Sardjoski | Simona Micevska | |
| Sebastian Värv | Hristijan Sardjoski | Nesma Almoazamy | |
| Simona Micevska | Kristjan Veskimäe | Maksym Semikin | |
| Hristijan Sardjoski | Sebastian Värv | Nesma Almoazamy | |
| Nesma Almoazamy | Novin Shahroudi | Kristjan Veskimäe |
Reviewing guidlines
- Review is not a listing of grammar errors
- Review is a listing of logical errors and ideas to pursue further
- It is ok to say in the review that you did not understand certain paragraphs or concepts
- Review should give suggestion in terms of presentation of ideas and layout
- Review should contain a clear opinion about the work you are reviewing
- Still be polite and write the review in the form you would like to receive
First write a short paragraph describing the work as a whole. Write what is good and bad in it and derive your final judgement about the work. Next fill the following reviewing form. This review form contains questions that provide a framework to structure you critical comments into separate blocks. So use those question sections to convey your critical comments about the work. SPage linktrong? A good review mostly discards all grammar mistakes and deals with presentation and content. Try to write something that yourself would find instructive if you were an author. In particular, mark all places which you cannot understand or which seem illogical to you as a reader. For those of you who have not done it before, there is a longer Estonian tutorial how to review. It is a long text and covers different reviewing levels so do not implement all suggestions. Send the final review to me and the person who you are reviewing. If you do not know the mail address of the author send it only to me. I will forward it.
- I will not accept reviews that contains only a listing of grammar errors
- I will not accept reviews that have no clear opinion about the work
- The opinion can be completely wrong or unfair as long as it is justified
Presentations
13th Decembrer 14:15 @ Liivi 2-511
- Simona Micevska
- Hristijan Sardjoski
- Sriyal Jayasinghe
- Nesma Almoazamy
20th Decembrer 14:15 @ Liivi 2-511
- Kristjan Veskimäe
- Sebastian Värv
- Maksym Semikin
- Hele-Andra Kuulmets
- Novin Shahroudi
Progress
| Student | Initial draft | First draft | Reviews | Final report |
|---|---|---|---|---|
| Hele-Andra Kuulmets | OK | OK | ||
| Tõnis Ojandu | Ok | FAIL | ||
| Novin Shahroudi | OK | OK | ||
| Sriyal jayasinghe | OK | OK | ||
| Maksym Semikin | OK | OK | ||
| Kristjan Veskimäe | OK | OK | ||
| Kevin Kanarbik | OK | FAIL | ||
| Sebastian Värv | OK | OK | ||
| Simona Micevska | OK | OK | ||
| Hristijan Sardjoski | OK | OK | ||
| Nesma Almoazamy | OK | OK |