Questions tagged [research]
The research tag has no usage guidance.
36
questions
3
votes
1answer
207 views
Need an advice on research topic [closed]
I am about to choose ML research topic for my master thesis, but i am at a dead end. The problem is, that while reading research papers, i find solutions, but not an open problems.
For now, a came up ...
0
votes
1answer
15 views
Previous work Replication and Research ethics Ask Question
I am very much concerned about biding by research ethics in my work, especially issues to do with plagiarism. I come across a recent research paper in my field of study that applies state-of-the-art ...
1
vote
0answers
29 views
Where can I find datasets suitable for an undergraduate research project? [closed]
I have tried Kaggle but couldn’t find anything suitable. Basically I want to do a machine learning or deep learning project. Ideally it would have something to do with computer forensics or security. ...
1
vote
0answers
40 views
Transitioning from Math PhD to ML research [closed]
I am currently a Math PhD about to defend in January. I work in a field in functional analysis that uses a lot of measure theory (but no stats).
I have been considering transitioning careers since I ...
0
votes
0answers
13 views
What language is most used in deep learning research?
I see the GAN source code all in Python, or otherwise, BERT seems to be all in Python as well.
I was under the impression that ...
0
votes
0answers
23 views
Image deblurring network (not a GAN)?
GANs take a long time to train. I have to train and use a machine learning algorithm (not necessarily a deep learning algorithm) that is able to deblur any image (after training it in about 10 hours: ...
1
vote
1answer
43 views
T-DBSCAN - Implementing STOP logic
I am attempting to implement the T-DBSCAN algorithm described in T-DBSCAN: A Spatiotemporal Density Clustering for GPS Trajectory Segmentation. I have been able to implement most of the logic between ...
0
votes
0answers
16 views
Thread : Any papers for Survival Analysis with Deep learning?
Any interesting papers about Survival Analysis with DL - preferably applied to Clinical Data? There are a lot out there but most are without interesting performance outcomes. Any suggestions?
3
votes
5answers
172 views
Classification training using probabilites and not raw classes (factors)
I have a problem where instead of having classes, i.e. a vector of 0s and 1s, I have the probability of an observation belonging to a class.
A vector with 0.1, 0.95, 0.2, 0.3, etc.
The obvious ...
0
votes
2answers
68 views
Testable hypotheses construction; minimum predictive strength vs. significance
Is this null hypothesis TESTABLE?
Research Question: "Can a predictive model utilizing logistic regression be built which predicts at least one customer will churn in 90 days, and this individual ...
0
votes
0answers
40 views
Any Data science undergraduate honours project ideas? [closed]
I am in my 4th year in Computer Science and I am looking for a good idea for my undergraduate honours project.
This summer, I am working in a research centre that does analysis and visualization of ...
1
vote
1answer
233 views
Site for implementing a research papers without code
Before a couple of months, I found a web page for implementing papers which are published without code. Someone posts a paper on it and then community competes to implement that paper.
But I don't ...
1
vote
1answer
126 views
Mapping between original feature space and an interpretable feature space
I'm reading the following really interesting paper
https://arxiv.org/pdf/1602.04938.pdf on local interpretable model explanations
on page 3 however particularly section 3.3 Sampling for Local ...
3
votes
1answer
44 views
How can there be more true positive than positive?
Currently reading Learning from Little: Comparison of Classifiers Given Little Training
In 3 Experiment Results, the following graph is shared:
The experiment is described as follow
We begin by ...
0
votes
1answer
19 views
Will data science develop into a separate academic field? [closed]
Right now data science is often regarded as an interdisciplinary subfield of statistics and computer science. What would it take for data science to develop into a separate academic field (with its ...
1
vote
0answers
308 views
Performance of UNet on low resolution images
I read the U-Net paper yesterday and it talked mostly about how it uses a small dataset (<100) of high-resolution images and performs efficiently.
I was wondering how it might perform on larger ...
3
votes
2answers
75 views
What is the loss function defined by Mnih and Hinton in their paper “Learning to Label Aerial Images from Noisy Data”?
In section 3.3 of the paper, they state that they use the cross entropy.
Then they define the probability for a label to be a false positive as $\theta_0$ and a false negative as $\theta_1$.
They use ...
0
votes
1answer
94 views
Adversarial attacks on non image data
Reading the literature around deep learning adversarial attacks it appears to be wholly concentrated on attacks of image classification models. Are there papers that describe attacks on non image data ...
2
votes
2answers
222 views
How to measure Entity Ambiguity?
When using/building a system for Entity Linking, is there a well-known measure for "ambiguity degree" of an entity?
Some approach to compare named entities regarding how difficult to disambiguate?
1
vote
1answer
77 views
Does it make sense to parallelize machine learning algorithms as part of PhD research? [closed]
I'm developing machine learning algorithms to aid in the diagnosis and prognosis of various cancers for my PhD. My lab is an Nvidia teaching center (CUDA).
My supervisor thinks that I need to also ...
1
vote
0answers
24 views
Possibility of self-growing neural nets
What is the state of the art for DNNs to infer that they need more neurons than in the initial setup? Can they be acquired dynamically from the underlying "resource substrate"?
1
vote
1answer
170 views
Is machine learning successful in solving combinatorial optimisation problems in NP-hard? Discuss problem of scheduling using machine learning [closed]
Chess is Exp-complete. I assume Alpha GO is also Exp complete. Correct me if I am wrong. Now deep reinforcement learning has been successful in tackling this problem. What about other more practical ...
1
vote
0answers
228 views
Measures for choosing the best Decision Tree split?
I'm searching for a paper or book that list several possible measures for deciding which variable to split a Decision Tree at.
The basic ones are well known and very well documented in several ...
4
votes
3answers
302 views
What kind of regression model should I do?
my research question is the examine the effect of "receiving attention" from other members in an online community on "sustained participation" on the website.
I decided to measure "sustained ...
2
votes
1answer
332 views
Deep learning facial recognition research project
I'm a second year pure maths, applied maths and computer science student. I have taken up a research course and was given the topic to focus on facial recognition using deep learning.
I have done a ...
-2
votes
2answers
2k views
Master thesis topics [closed]
I am looking for a thesis to complete my master, I am interested in Predictive Analytics in marketing, HR, management or financial subject, using Data Mining Application.
I have found a very ...
1
vote
0answers
736 views
Multi Model data set Visualization Python
I have a data-set with two variable frequency values as given below
...
3
votes
1answer
561 views
Determining completeness of dataset
I'm hoping you have some research or experience with determining the completeness of a data set. I'm trying to use a twitter dataset I scraped myself and want to have an indication on the completeness....
0
votes
1answer
2k views
The implementation of overlapping clustering (NEO-K-Means)
I am researching on overlapping clustering (Clusters are non-disjoint).I found that Neo-K-Means is probably the state-of-the-art now.But, when I tried implementing the algorithm with the multi-label ...
3
votes
1answer
1k views
Identify given patterns in unstructured data like text files
I wasn't sure if I had to ask it here or in Stackoverflow, but since I am also seeking research papers/algorithms and not only code, I decided to do it here.
When I have a text, I can manually write ...
8
votes
1answer
196 views
Which of the NIPS 2014 papers are most significant, and why?
As a newcomer to the field, I find many of the NIPS 2014 papers fascinating, but it is difficult for me to evaluate which ones represent real progress over current approaches.
Which papers do you ...
-1
votes
2answers
487 views
How can an undergraduate learn more about deep learning? [duplicate]
I am an undergraduate who needs to submit a thesis for graduation. I am fairly interested in deep learning, and am working on a project that uses deep learning methods extensively (rCNNs to be precise)...
4
votes
4answers
217 views
Where can I find resources and papers regarding Data Science in the area of Public Health
I'm quite new to Data Science, but I would like to do a project to learn more about it.
My subject will be Data Understanding in Public Health.
So I want to do some introductory research to public ...
1
vote
1answer
8k views
Masters thesis topics in big data
I am looking for a thesis to complete my master M2, I will work on a topic in the big data's field (creation big data applications), using hadoop/mapReduce and Ecosystem ( visualisation, analysis ...),...
-2
votes
1answer
87 views
How much data space is used by all scientific articles?
I was wondering if there is any research or study made to calculate the volume of space is used by all scientific articles. It could be in pdf, txt, compressed, or any other format. Is there even a ...
7
votes
1answer
99 views
Why use mean revenue in a split test?
I asked a data science question regarding how to decide on the best variation of a split test on the Statistics section of StackExchange. I hope I will have better luck here. The question is basically,...
