Questions tagged [classification]

For questions related to the placement of individual cases into categories, such as is essential in fraud detection, spam detection, quality control, prediction of user or market responses, automated organizing or indexing, assigning objects in view to types of obstacles or risks, writing or typing recognition, phonic recognition, .

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In general, what are precision, recall, F1 that are reported in papers? [closed]

I used classification_report in sklearn library And, the picture below shows evaluation on my model (anomaly detector) In general, what are precision, recall, F1 ...
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21 views

How Long Short Term Memory (LSTM) work for time series classification?

I first got the concept of LSTM on how it works word to word prediction etc. However, I want to know how it work with the time-series classification. For example I have the follwing data (see image ...
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How to deal with unbalanced data in multilabel classification problem

I have 3 possible solutions, but I am not sure if they are good. I think they are a bit clunky (especially 1st and 2nd). Use multiple small models. So instead of having the model that can tell you ...
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Comparing results of different image splicing methods on a part of the CASIA 2.0 dataset

So I am working on an image splicing detection algorithm using ResNet-50 model. I am using the CASIA 2.0 dataset which consists of 7491 Authentic images and 5123 Fake images. However out of the fake ...
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27 views

Model not learning anything, what can be the problem?

I've trained a model for heart sound classification with transfer learning (MobileNet) on Physionet dataset, and it works fine. However, when I train it on my own dataset, it seems that it can not ...
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76 views

How can I approach this problem of producing a 3-bit binary string given a sequence of letters?

Suppose, I have the following data-set: ...
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39 views

How would the probability of a document $P(d)$ be computed in the Naive Bayes classifier?

In naive Bayes classification, we estimate the class of a document as follows $$\hat{c} = \arg \max_{c \in C} P(c \mid d) = \arg \max_{c \in C} \dfrac{ P(d \mid c)P(c) }{P(d)} $$ It has been said in ...
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What are some of the ideas to solve Learning-to-choose problem?

Suppose I want to predict cats and dogs, but with a twist: the model can choose the image to predict. For example: Given a list of 10 images (with both dogs and cats), the model need to choose one ...
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29 views

What are the existing AI methods to approach 3D volumes of computed tomography?

I have a dataset which consists of computed tomography images (CT scans) of parts that contain pores and cracks. The sets for each part are of about 1100 * 1100 * 3000-ish resolution. Currently, I use ...
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Can I use transfer learning with Bert and none text sequential data?

I'm working on a multiclass classification problem, each row on my dataset have 5 time windows with 23 values on each time window, I would like to use transfer learning using the Bert transformer to ...
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Could an adaptive discriminator augmentation (ADA) be used for a discriminatory task?

Was wondering if I could use an adaptive discriminator augmentation (ADA) on a data set like MNIST (multi-class classification task). It seems that this is focused on generative modeling, so not sure ...
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Why class embedding token is added to the Visual Transformer?

In the famous work on the Visual Transformers, the image is split into patches of a certain size (say 16x16), and these patches are treated as tokens in the NLP tasks. In order to perform ...
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Evaluating a convolutional neural network on an imbalanced (academic) dataset

I have trained a posture analysis network to classify in a video of humans recorded in public places if there is a) shake-hand between two humans, b) Standing close together that their hands touch ...
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31 views

Can I use the VAE for dimensionality reduction?

I'm doing a project that uses a clustering algorithm for the facial expression classification task. So, I use the output of the encoder in the VAE autoencoder for dimensionality reduction. However, I ...
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What is the difference (if any) between semantic segmentation and multi-class, mutually exclusive classification?

Multi-class classification is simply assigning all data points into one of up to any finite number of mutually exclusive labels. I am new to the field(s) of AI/ML and I keep hearing people use the ...
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1answer
37 views

Which loss function could I use to solve a regression problem as a classification problem (where we discretize the labels into buckets)?

I am considering a rather typical regression problem, but, for practice, I am trying to implement this as a classification problem. The setup is as follows. I have $\mathbb{R}$-valued labels $y_i \in [...
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17 views

What approach would work well for predicting earthquake intensity based on historical data?

My problem: I own warning system where I collect data from institutions and send them over through various ways to users. I would like to hear your advice on what approach I can use for solving my ...
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Is my dataset unlearnable, or is my LSTM model not smart enough?

I have time-series data obtained from a video. The data is composed of bitrate and corresponding label pairs for each timestamp: The distribution over the first 30 seconds is as follows: I have ...
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1answer
24 views

How to classify when the label is seldom known

When I think about classification I think of the cancer/not cancer example. You have a bunch of attributes and you know whether the person had cancer during the relevant time period and you determine ...
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1answer
17 views

Projected Gradient Descent to separate two classes

I am implementing projected gradient descent. i am trying to create one adversarial perturbation that when applied to images from different classes, causes my classification error to drop. I believe ...
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19 views

Defining optimal false-positives and false-negatives balance with a cost function

My attempt to solve the problem below: $$\text{cost function} = C = (TP \cdot CTP) + (FN \cdot CFN) + (FP \cdot CFP) + (TN \cdot CTN) = ((1 - (1 - FP)^2) \cdot 1000) + (FN \cdot CFN) + (FP \cdot ...
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38 views

How is it possible that the softmax combined with the MSE in a molecule classification task performs than than the cross-entropy?

I'm working on a GNN project associated with molecule classification. The project is to classify if the atom in the molecule will initiate a certain reaction. For example, a molecule can be ...
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1answer
47 views

What kind of neural network should I build to classify each instance of a time series sequence?

Let's say I have the time-series dataset below-left. I would like to train a model in such a way that, if I feed the model with an input like the test sequence below, it should be able to classify ...
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1answer
38 views

Recommended Time serie forecasting model for Fibonacci levels classification

I have a set of time series data which gives me fibonacci levels and the duration at which the value is at this level. Data structure to look like: ...
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1answer
28 views

How do I take the correct classification predictions of an ml algo (i.e. random forest/neural net) and sort the instances in each category?

I am trying to sort the instances within each of 5 classification categories in a dataset that has been put through both a random forest classifier and a neural network with 99% accuracy on each. ...
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1answer
19 views

What algorithm to use to classify data by spatial relations?

Let's assume I have dataset of image-like 2D samples where values can be divided into few discrete levels (for example 1, 2, 3 and 4) like in the image below, where each color maps different value, ...
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1answer
32 views

How to handle class imbalancing when the actual data are that way

My supervised learning training data are obtained from actual data; and in real cases, there's one class which happens less often than other classes, just around 5% of all cases. To be precise, the ...
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How to Classify Game Stages Based on Bitrate Time Series Data Using RNN - LSTM

I need suggestions for my project and would be glad if you would give me a hand. I have a dataset of frames obtained from the old-school game DOOM. Each frame in the dataset has the following columns: ...
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17 views

Converting inputs as a batch for time series classification would increase accuracy?

I have sensor dataset. I have already classified these data with LSTMs.I have a dataframe with 2 features and a class column. Assume that I take every two rows(inputs) respectively and make the ...
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2answers
62 views

Accuracy Not Going Above 30%

I am trying to make a big classification model using the coco2017 dataset. Here is my code: ...
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1answer
62 views

Why the number of training points to densely cover the space grows exponentially with the dimension?

In this lecture (minute 42), the professor says that the number of training examples we need to densely cover the space of training vectors grows exponentially with the dimension of the space. So we ...
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1answer
33 views

How to define a “don't care” class in time series classification in Pytorch?

This is a theoretical question. Setup I have a time series classification task in which I should output a classification of 3 classes for every time stamp t. All ...
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2answers
46 views

What model structure I should use to train on low res and blurry images?

I am looking for advice or suggestion. I have photos like these: photo_1 and photo_2 and many more similar to that. The average shape of these photos is about 160 x 100. What we are doing is we are ...
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23 views

Should I use the Siamese or the matching network to find the closest match between one image and other images?

I have to find the closest match between my image and a bunch of already collected images of different classes in the folder. Which of the meta-learning approach should I select? I am thinking about ...
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1answer
77 views

How to define machine learning to cover clustering, classification, and regression?

How to define machine learning to cover clustering, classification, and regression? What unites these problems?
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1answer
508 views

How do I calculate the probabilities of the BERT model prediction logits?

I might be getting this completely wrong, but please let me first try to explain what I need, and then what's wrong. I have a classification task. The training data has 50 different labels. The ...
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2answers
110 views

Does it make sense to combine classifiers trained on the same dataset?

I am working on a classification problem. I have a dataset $S$ and I am training several prediction algorithms using S: Naive Bayes, SVM, classification trees. Intuitively, I was planning to combine ...
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21 views

Does Linear Discriminant Analysis make dimensionality reduction before classification?

I'm trying to understand what LDA exactly does when used as a classifier. I've understood how the dimensionality reduction works and I've understood that the classification task is carried out with ...
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1answer
34 views

Handling imbalanced data with multiple targets

I have the model which has 3 outputs (it is a regression task, I have the angle of the steering wheel, brake and acceleration). I can divide my values to some smaller bins and in this way I can change ...
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2answers
59 views

In classification, how does the number of classes affect the model size and amount of data needed to train?

When solving a classification problem with neural nets, be it text or images, how does the number of classes affect the model size and amount of data needed to train? Are there any soft or hard ...
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1answer
41 views

Can I do topic classification of Arabic text (software requirements) without a training dataset?

I am trying to make a text classification for Arabic data. The problem is that there is no labeled Arabic dataset for this data. My question is then: is possible to do a classification without a ...
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18 views

Theoretical limits on correlation between classification algorithm performances

Are there any known theoretical bounds, or at least heuristic approaches, regarding the relation or correlation between the performances of any two different classification algorithms? For example, ...
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1answer
48 views

Is it possible to make a neural network to solve this “reaction time test”?

I'm thinking about writing an essay on the comparison between the human nervous system (reaction time) and a neural network that does the same reaction time test. I am very new in this area, so I was ...
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1answer
29 views

What approach to use for selecting one of the category according to short category text?

I need some tool to classify articles based on short category text which consists of two or three words separated by '-'. The RSS/XML tag content is for example: Foreign - News Football - Foreign I ...
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1answer
67 views

classification of unseen classes of image in open set classification

I have a scanned image, and they need to be classified in one of the pre-defined image classes, so that it can be sorted. However, the problem is the open nature of the classes. At testing time, new ...
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14 views

Using one-class classification first to find anomalies then apply multi-class classification

I'm new to machine learning and trying to apply it for fault detection, an idea came to mind which is using only anomaly detection after which if the results after a while come up as positive, a multi-...
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1answer
48 views

Is it possible to use k-nearest neighbour for classification with more than two attributes?

If I were to have a dataset of 9 attributes of different types that describe current weather, such as temperature, humidity, etc., and want to classify the current weather by use of a k-NN algorithm, ...
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1answer
275 views

Can ML/DL solve my classification problem?

I'm new to AI but would still like to try and get a project off the ground. I've read a lot about ML/DL the past few days but I just can't figure out if my problem can be solved with ML/DL. What I'm ...
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1answer
62 views

How to treat (label and process) edge case inputs in machine learning?

In every computer vision project, I struggle with labeling guidelines for border cases. Benchmark datasets don't have this problem, because they are 'cleaned', but in real life unsure cases often ...
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1answer
45 views

How to go about classifying 1000 classes?

I am trying to find research paper with theory(preferably implementation) that is about classifying 1000 (or more) classes. I have heard of an implementation, that initially clustering needs to be ...

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