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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How can I stabilise a recurrent neural network used for binary classification?

I’m looking for some help with my neural network. I’m working on a binary classification on a recurrent neural network that predicts stock movements (up and down) Let’s say I’m studying Eur/Usd, I’m ...
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14 views

Training Haar Cascade model with grey vs color images

Most examples if not all, are models that have been trained with images that are turned grey. Does this mean that models only detect edges? Why wouldnt you want to keep color so that model could learn ...
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24 views

Would this NN for my chip outputs work?

I'm a grad student from EE. So, basically, there's an electrical circuit that is supposed to output "0" or "1" by exactly 50 to 50 chance. It generates a number of big arrays of 0s and 1s, each of ...
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28 views

Evaluation metrics multi-class classification (ROC- PR curves)

Facing with a multi-class classification task, my question is: are ROC and Precision-Recall (One-vs-All-Rest) curves useful to evaluate and visualize the performance of a model? or Confusion ...
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30 views

Classification of classes within meta-classes

TLTR: I'm developing a CNN for a classification task. The data contains multiple classes some of which are very similar to each other and I know these meta-classes. In such a situation is it a good ...
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59 views

Why validation performance is unstable for my LSTM based model (labelling problems)?

I have trained a recurrent neural network based on 1 stack of LSTM cells. I use it to solve a classification problem. The RNN cell has 48 hidden states. The output of the last unfolded LSTM cell is ...
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93 views

Siamese Network for unknown object

I am currently trying to create a One-Shot network using the Siamese architecture for an object that isn't a face. My problem is, in normal Face Recognition the detecting gadget (e.g. Smartphone) ...
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75 views

Dialects classification using deep learning

Dialects differ a lot between cities in my country, Syria. People sometimes express themselves using different local phrases and idioms which refer to the same topic. So, I came up with the idea of ...
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35 views

identifying pattern in datasets

i am new to machine learning. i'm trying to identify driving pattern through accelerometer and gyroscope sensor. i have been collecting the data of both the sensors and have been storing them in .csv ...
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1answer
27 views

Using convnet to classify language of text contained in images

I hope this question is not too broad or general. I have a very large set of images all of which contain text (some have more, some less). All of them have been tagged as containing, say, English text ...
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32 views

Any guidance on learning rate / batch size for noisy data (high Bayes error rate)?

Is there any guidance available for training on very noisy data, when Bayes error rate (lowest possible error rate for any classifier) is high? For example, I wonder if deliberately (not due to memory ...
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52 views

Bubble Chamber Image Analysis Using Neural Network

I have a data analysis problem that I can reduce to one similar to analyzing the trajectories in the images below. These images show the tracks of subatomic particles interacting in a bubble chamber. ...
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1answer
63 views

Relationship between input range and channel means, standard deviations for CNNs

So, I'm using a pretrained pnasnet5large model to do some image classification (https://github.com/Cadene/pretrained-models.pytorch/blob/master/pretrainedmodels/models/pnasnet.py) In the file, it ...
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66 views

Machine learning approach to facial recognition

First of all I'm very new to the field. Maybe my question is a bit too naive or even trivial... I'm currently trying to understand how can I go about recognizing different faces. Here is what I ...
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19 views

Merge one label with one information for classification problem or multi-label classification

I want to build a model to support decision making in order to propose or not loan insurance to clients. Because sometimes clients asking loan and loan insurance have less chance to have their loan ...
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80 views

How to implement AI/ML to classify various types of files

I am working on a task that requires me to classify a large amount of mixed files on a backup drive (more than 10 TB with more than 32 million files) based on content. The included file types are ...
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68 views

Learning from events. Supervised, Unsupervised or MDP?

I have a large set of simulation logs for a market simulation of which I want to learn from. The market includes: customers products (subscriptions) The customers choose products and then stick with ...
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86 views

Problem with the PLN classifier

I'm developing a chatbot, and to get the answer I'm using the Naive Bayes classifier by sorting the questions and answers. For those who want to see the whole project code and more definitions follow ...
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98 views

Infer dependent variables to produce output aligned to trained data

Hypothetical example, say I wanted: P(gender,ethnicity|age,hair); so that the input would aligned to a trained dataset of: ...
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2answers
84 views

Can maximum likelihood be used as a classifier?

I am confused in understanding the maximum likelihood as a classifier. I know what is Bayesian network and I know that ML is used for estimating the parameters of models. Also, I read that there are ...
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1answer
30 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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1answer
38 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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29 views

Multivariate time-series classification with many variables

I am attempting to use time-series classification algorithms for fraud detection applications. I have came across several works in the literature that propose novel techniques for multivariate time-...
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99 views

How are temporal links made between following sequences in RNN?

Say I use an RNN, whatever is the cell's type, to perform time series classification. It can thus be seen as sequence classification. The time series is split into random, equal size, overlapping ...
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1answer
44 views

How to do early classification of time series event with small dataset?

I would like to build a real-time binary classifier that can predict an event of interest that is occurring as soon as it starts. These are electromyographic signals, and the event classification ...
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17 views

Is the PR AUC invariant under label flip?

The ROC-AUC curve is invariant under a flip of the labels. I don't know if it's a famous result, so I will give the proof below. My question is if the PR-AUC curve also has this property. I have not ...
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21 views

Network structure of generative model for classification

I'm trying to model a generative model for classification problem, especially aiming to solve an imbalanced data problem. However, I couldn't get intuitive understanding for generative classifier in ...
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14 views

Can we encode categories binarily in a classification task using neurons outputs as consecutive bits?

Let's say, that we have a simple neural network as the one depicted below: The goal of this NN is to classify inputs into two separate categories. Usualy, each neuron would correspond to one category,...
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10 views

How to make specific test data prediction with fitted GaussianNB Classifier in Python

I'm trying to make news classification. Here is the neural network: ...
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20 views

CNN to detect presence/absense of label on images with mixed labels

Here's my problem: I work with medical image classification, and currently I have 3 classes: class A: images with lesion 1 only; and images with lesion 1 and N other lesions class B: images with 2 ...
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16 views

How to classify anomalies between two sound datasets?

I have two sound datasets and each one has 80% normal and 20% anomalous data points. The first one is a rock song and the second one is a mellow indie song. I use half of the normal data as a baseline ...
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44 views

How can I determine the k-NN's hyper-parameters and their range that significantly influence the outcome of classification?

Algorithm: Classification by k-nearest neighbors with Euclidean distance (neighbors.KNeighborsClassifier). Determine the important hyperparameters (2 maximum) that can significantly influence ...
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19 views

What is the best neural network model to classify an x(t) signal according two classes?

I am a beginner in AI methods. I have a collection of x(t) data, where x are some signal amplitudes and t is a time. My testing data are divided into two classes, say those from good and bad ...
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15 views

Loss function for better class separability in multi class classification

So I am trying to enforce better separability in my deep learning model and was wondering what I can use besides cross entropy loss to do that? Could maybe using logarithm with different basis in ...
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8 views

Need some help in understanding a Research paper on Auto Image Colorization

I am having trouble understanding implementation of a research paper. Paper I need assistance in the 3.6 Final Classification Model on page 3. How exactly should the pixels be discretized into 50 bins?...
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43 views

Is there Binary Zero-Shot Learning with no defined prototypes for the unseen class?

I deal with a text classification problem, where there are only two classes; relevant and irrelevant. That is, a text might be relevant / irrelevant with a predefined topic. I have a dataset that ...
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41 views

Class activation maps for 3D Convolutional neural network?

I have implemented a 3D convolutional neural network and I was not able to find resources for interpretation for my model. I have found some techniques such as GradCam and GradCam++ but these generate ...
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11 views

How to identify a certain part of a text based on some criteria given the beginning and ending info as training data?

I want to know which kind of machine learning algorithms or techniques shall I use to solve such a problem for example, I have this text below ...
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33 views

What kind of ANN should I use for this problem?

I want to develop a neural network for my data, but I have no idea if my problem should be solved with curve fitting, classification or maybe something else. Here is my problem. My input data are some ...
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1answer
37 views

How do I classify whether a document is legal or not given a set of keywords that appear only in legal documents?

Let's say that I want to classify whether a document is a legal document or not. I have a list of keywords that will be presented only in legal documents. What is the proper way or algorithm to ...
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59 views

Finding the 'ultimate resolution' of an ANN

I want to use a neural network to predict the refractive index of a solution. My thinking is, instead of immediately training on many samples, I will first find the 'ultimate resolution' of the ...
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28 views

accessible subset of data impacts performance

I have a problem with a subset of my data which is as follows: I can train a model (doesn't matter what, xgboost, BERT, etc., it is a text classification problem), on my data and get a decent ...
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25 views

Binary classification to recognize blobs on pictures generates many false-positive results

I am training a NN for blobs vs non-blobs recognition. Blobs example: Non-blobs: Keras architecture is: ...
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23 views

Input with variable length Classification problem

I have a dataset with patient information with discrete labels (labels are stages of a particular disease) which needs to be predicted (Basically a classification problem). The data set looks ...
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18 views

How can I efficiently detect subsections?

I have a feeling this question has a lot of research into it, but I can't find any relevant results. I'm trying to compare the similarity of audio Here, I have 2 virtually identical samples; however,...
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1answer
55 views

Is it a good idea to overfit on a small part of your data for faster model convergence?

I working on a classification problem that needs to detect patterns on a time serie. Basically, there's a catch-all class that means "no pattern detected", the other are for the specific patterns. The ...
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20 views

Would truncating a trained CNN help with generalisation?

Say I have a very small dataset to do transfer learning with, for image classification purposes. And say that I know that what's most important in classifying these images is low level details like ...
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29 views

Does it classify as Machine Learning?

I have a gaussian distributed time series ($X_t$) with some parameters in my experiment. Suppose I want to know the mean $\mu$. If I define another time series $Y_t$ such that $Y_t=X_t-a$ for all $t$. ...
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19 views

Different results obtained for OneVsOneClassifier (or OneVsRestClassifier) when using ordinary KFold and StratifiedKFold cross validation

When I fitted a OneVsOneClassifier (or OneVsRestClassifier), I noticed I obtained different results when I used ordinary KFold and StratifiedKFold cross-validation. The testing set performance is much ...