ABCDEFGHIJKLMNOPQRSTUVWXYZ
1
General guidelines: for final presentation prepare a 5 minutes talk (with slides). Add your google slides (and only!) to the corresponding google folder: here for Monday, here for Tuesday and here for Wednesday. Make sure to name your presentations TXX - title of the project e.g. "T01 - Using Machine learning to estimate river peak flows in Estonia (P10)".
Make sure to introduce your team and project owner (if applicable), briefly remind us of the problem you are trying to solve, explan your approach to the problem. Provide detailed account of your results and say a few words if they match your original expectations. Specify who in your team is responsible for which part of the work. Lastly, say a few words about lessons you learned while working on the project.
2
3
4
All presentations will be held mostly offline in the auditoriums in Delta building (Monday in 1019, Tuesday in 2034, and Wednesday in 2034), specified below and via Zoom. NB! Monday's presentations will be held in a new room 1019!
5
6
Monday (18.12) starting at 10:15 till 13:45 (room 1019)Tuesday (19.12) starting at 16:15 (room 2034)Wednesday (20.12) starting at 16:15 (room 2034)
7
8
TeamProject ownerTitleTeamProject ownerTitleTeamProject ownerTitle
9
T01Ottar TammUsing Machine learning to estimate river peak flows in EstoniaT14Chak LeungExploring use cases of different forecasting methodsT02Faiz Ali ShahGenerating Feature-Level Sentiment Summaries from App Reviews
10
T03Erkki TikkIntersection finderT33Chak LeungExploring use cases of different forecasting methodsT07Reimo PalmAnalysing student activity in the Computer Programming course
11
T18Erkki TikkIntersection finderT15self-proposedPredicting grocery store products’ EAN codesT12Reimo PalmAnalyzing student activity in the Computer Programming course
12
T29Erkki TikkIntersection finderT21self-proposed
Applications of Machine learning and Deep learning in Intrusion Detection Systems (IDS) for Attack Detection
T16Reimo PalmAnalyzing student activity in the Computer Programming course
13
T34Erkki TikkIntersection finderT26KaggleCosta Rican Household Poverty Level Prediction.T20Reimo PalmAnalyzing student activity in the Computer Programming course
14
T04Vijayachitra Modhukur
Tumor Growth Monitoring from Xenograft Cancer Models using MRI and Deep Learning
T32KaggleBinary Classification with a Software Defects DatasetT17KaggleOptiver - Trading at the Close
15
T08Vijayachitra Modhukur
Tumour Growth Monitoring from Xenograft Cancer Models using MRI and Deep Learning
T35KaggleUBC Ovarian Cancer Subtype Classification and Outlier Detection (UBC-OCEAN)T24KaggleOptiver - Trading at the Close
16
T13Vijayachitra Modhukur
Tumour Growth Monitoring from Xenograft Cancer Models using MRI and Deep Learning
T36KagglePredict Energy Behavior of ProsumersT22KaggleLinking Writing Processes to Writing Quality
17
T05Reimo PalmAnalysing student activity in the Computer Programming courseZoom Link: https://ut-ee.zoom.us/j/97110577695?pwd=VmVBSWtnUjQySkcrVXowc0VxV3dqdz09T30Kaggle
UBC Ovarian Cancer Subtype Classification and Outlier Detection (UBC-OCEAN)
18
T10Reimo PalmAnalyzing student activity in the Computer Programming courseT27KaggleDoctor sleep
19
T19Reimo PalmAnalyzing student activity in the Computer Programming courseZoom link: https://ut-ee.zoom.us/j/97001151102?pwd=VTJ1ZnRsR2dES0xsbWtkM3FPcXNFQT09
20
T23Reimo PalmAnalyzing student activity in the Computer Programming course
21
15 minutes break
22
T06Anneli KruvePattern recognition for quantification in chemical analysis
23
T09Anneli KruvePattern recognition for quantification in chemical analysis
24
T11Anneli KruvePattern recognition for quantification in chemical analysis
25
T28self-proposedPredicting driving test outcome
26
T25KaggleUBC Ovarian Cancer Subtype Classification and Outlier Detection (UBC-OCEAN)
27
T31KaggleUBC Ovarian Cancer Subtype Classification and Outlier Detection (UBC-OCEAN)
28
Zoom link: https://ut-ee.zoom.us/j/96845466295?pwd=TngySFdwNGxuZ0prSkh1bFRYV01Cdz09
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100