Relevant bibliographies by topics / SMOTE technique

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'SMOTE technique'

Author: Grafiati
Published: 4 June 2021
Last updated: 4 February 2022

Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles

Select a source type:

Consult the lists of relevant articles, books, theses, conference reports, and other scholarly sources on the topic 'SMOTE technique.'

Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.

You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.

Journal articles on the topic "SMOTE technique"

1

Chawla, N. V., K. W. Bowyer, L. O. Hall, and W. P. Kegelmeyer. "SMOTE: Synthetic Minority Over-sampling Technique." Journal of Artificial Intelligence Research 16 (June 1, 2002): 321–57. http://dx.doi.org/10.1613/jair.953.

Full text
Abstract:
An approach to the construction of classifiers from imbalanced datasets is described. A dataset is imbalanced if the classification categories are not approximately equally represented. Often real-world data sets are predominately composed of ``normal'' examples with only a small percentage of ``abnormal'' or ``interesting'' examples. It is also the case that the cost of misclassifying an abnormal (interesting) example as a normal example is often much higher than the cost of the reverse error. Under-sampling of the majority (normal) class has been proposed as a good means of increasing the se
APA, Harvard, Vancouver, ISO, and other styles
2

Bansal, Ankita, Makul Saini, Rakshit Singh, and Jai Kumar Yadav. "Analysis of SMOTE." International Journal of Information Retrieval Research 11, no. 2 (2021): 15–37. http://dx.doi.org/10.4018/ijirr.2021040102.

Full text
Abstract:
The tremendous amount of data generated through IoT can be imbalanced causing class imbalance problem (CIP). CIP is one of the major issues in machine learning where most of the samples belong to one of the classes, thus producing biased classifiers. The authors in this paper are working on four imbalanced datasets belonging to diverse domains. The objective of this study is to deal with CIP using oversampling techniques. One of the commonly used oversampling approaches is synthetic minority oversampling technique (SMOTE). In this paper, the authors have suggested modifications in SMOTE and pr
APA, Harvard, Vancouver, ISO, and other styles
3

Santoso, Noviyanti, Wahyu Wibowo, and Hilda Hikmawati. "Integration of synthetic minority oversampling technique for imbalanced class." Indonesian Journal of Electrical Engineering and Computer Science 13, no. 1 (2019): 102. http://dx.doi.org/10.11591/ijeecs.v13.i1.pp102-108.

Full text
Abstract:
In the data mining, a class imbalance is a problematic issue to look for the solutions. It probably because machine learning is constructed by using algorithms with assuming the number of instances in each balanced class, so when using a class imbalance, it is possible that the prediction results are not appropriate. They are solutions offered to solve class imbalance issues, including oversampling, undersampling, and synthetic minority oversampling technique (SMOTE). Both oversampling and undersampling have its disadvantages, so SMOTE is an alternative to overcome it. By integrating SMOTE in
APA, Harvard, Vancouver, ISO, and other styles
4

Shoohi, Liqaa M., and Jamila H. Saud. "Adaptation Proposed Methods for Handling Imbalanced Datasets based on Over-Sampling Technique." Al-Mustansiriyah Journal of Science 31, no. 2 (2020): 25. http://dx.doi.org/10.23851/mjs.v31i2.740.

Full text
Abstract:
Classification of imbalanced data is an important issue. Many algorithms have been developed for classification, such as Back Propagation (BP) neural networks, decision tree, Bayesian networks etc., and have been used repeatedly in many fields. These algorithms speak of the problem of imbalanced data, where there are situations that belong to more classes than others. Imbalanced data result in poor performance and bias to a class without other classes. In this paper, we proposed three techniques based on the Over-Sampling (O.S.) technique for processing imbalanced dataset and redistributing it
APA, Harvard, Vancouver, ISO, and other styles
5

Rachburee, Nachirat, and Wattana Punlumjeak. "Oversampling technique in student performance classification from engineering course." International Journal of Electrical and Computer Engineering (IJECE) 11, no. 4 (2021): 3567. http://dx.doi.org/10.11591/ijece.v11i4.pp3567-3574.

Full text
Abstract:
<span>The first year of an engineering student was important to take proper academic planning. All subjects in the first year were essential for an engineering basis. Student performance prediction helped academics improve their performance better. Students checked performance by themselves. If they were aware that their performance are low, then they could make some improvement for their better performance. This research focused on combining the oversampling minority class data with various kinds of classifier models. Oversampling techniques were SMOTE, Borderline-SMOTE, SVMSMOTE, and A
APA, Harvard, Vancouver, ISO, and other styles
6

Kasanah, Anis Nikmatul, Muladi Muladi, and Utomo Pujianto. "Penerapan Teknik SMOTE untuk Mengatasi Imbalance Class dalam Klasifikasi Objektivitas Berita Online Menggunakan Algoritma KNN." Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) 3, no. 2 (2019): 196–201. http://dx.doi.org/10.29207/resti.v3i2.945.

Full text
Abstract:
Amount of information in the form of online news needs to be balanced with the ability of readers to sort or classify subjective or objective news. So that a special system is needed that can be used for online news objectivity classification so that it can help readers to pick up subjective or objective news. This research proposes the development of techniques in machine learning to help sort out news objectivity automatically based on the content of the news. The algorithm proposed is K-Nearest Neighbor (KNN) algorithm. News samples obtained from kompas.com by scrapping occur imbalance clas
APA, Harvard, Vancouver, ISO, and other styles
7

Rekha, Gillala, and V. Krishna Reddy. "A Novel Approach for Handling Outliers in Imbalanced Data." International Journal of Engineering & Technology 7, no. 3.1 (2018): 1. http://dx.doi.org/10.14419/ijet.v7i3.1.16783.

Full text
Abstract:
Most of the traditional classification algorithms assume their training data to be well-balanced in terms of class distribution. Real-world datasets, however, are imbalanced in nature thus degrade the performance of the traditional classifiers. To solve this problem, many strategies are adopted to balance the class distribution at the data level. The data level methods balance the imbalance distribution between majority and minority classes using either oversampling or under sampling techniques. The main concern of this paper is to remove the outliers that may generate while using oversampling
APA, Harvard, Vancouver, ISO, and other styles
8

Lee, Taejun, Minju Kim, and Sung-Phil Kim. "Improvement of P300-Based Brain–Computer Interfaces for Home Appliances Control by Data Balancing Techniques." Sensors 20, no. 19 (2020): 5576. http://dx.doi.org/10.3390/s20195576.

Full text
Abstract:
The oddball paradigm used in P300-based brain–computer interfaces (BCIs) intrinsically poses the issue of data imbalance between target stimuli and nontarget stimuli. Data imbalance can cause overfitting problems and, consequently, poor classification performance. The purpose of this study is to improve BCI performance by solving this data imbalance problem with sampling techniques. The sampling techniques were applied to BCI data in 15 subjects controlling a door lock, 15 subjects an electric light, and 14 subjects a Bluetooth speaker. We explored two categories of sampling techniques: oversa
APA, Harvard, Vancouver, ISO, and other styles
9

Kurniawati, Yulia Ery. "Class Imbalanced Learning Menggunakan Algoritma Synthetic Minority Over-sampling Technique – Nominal (SMOTE-N) pada Dataset Tuberculosis Anak." Jurnal Buana Informatika 10, no. 2 (2019): 134. http://dx.doi.org/10.24002/jbi.v10i2.2441.

Full text
Abstract:
Class Imbalance Learning (CIL) merupakan proses pembelajaran untuk representasi data dan ekstraksi informasi dengan distribusi data yang buruk untuk mendukung pembuatan keputusan yang efektif dalam proses pengambilan keputusan. SMOTE-N adalah salah satu pendekatan data-level dalam CIL mengunakan metode over-sampling. SMOTE-N menghasilkan instance sintesis untuk menyeimbangkan jumlah instance pada kelas minoritasnya. Penelitian ini mengaplikasikan SMOTE-N pada dataset Tuberculosis Anak (TB Anak) yang memiliki ketidakseimbangan kelas. Metode over-sampling dipilih untuk menghindari kehilangan inf
APA, Harvard, Vancouver, ISO, and other styles
10

de Carvalho, Alexandre M., and Ronaldo C. Prati. "DTO-SMOTE: Delaunay Tessellation Oversampling for Imbalanced Data Sets." Information 11, no. 12 (2020): 557. http://dx.doi.org/10.3390/info11120557.

Full text
Abstract:
One of the significant challenges in machine learning is the classification of imbalanced data. In many situations, standard classifiers cannot learn how to distinguish minority class examples from the others. Since many real problems are unbalanced, this problem has become very relevant and deeply studied today. This paper presents a new preprocessing method based on Delaunay tessellation and the preprocessing algorithm SMOTE (Synthetic Minority Over-sampling Technique), which we call DTO-SMOTE (Delaunay Tessellation Oversampling SMOTE). DTO-SMOTE constructs a mesh of simplices (in this paper
APA, Harvard, Vancouver, ISO, and other styles
More sources

Dissertations / Theses on the topic "SMOTE technique"

1

Kouassi, Komlan Prosper. "Adaptation des techniques actuelles de scoring aux besoins d'une institution de crédit : le CFCAL-Banque." Thesis, Strasbourg, 2013. http://www.theses.fr/2013STRAB004.

Full text
Abstract:
Les institutions financières sont, dans l’exercice de leurs fonctions, confrontées à divers risques, entre autres le risque de crédit, le risque de marché et le risque opérationnel. L’instabilité de ces facteurs fragilise ces institutions et les rend vulnérables aux risques financiers qu’elles doivent, pour leur survie, être à même d’identifier, analyser, quantifier et gérer convenablement. Parmi ces risques, celui lié au crédit est le plus redouté par les banques compte tenu de sa capacité à générer une crise systémique. La probabilité de passage d’un individu d’un état non risqué à un état r
APA, Harvard, Vancouver, ISO, and other styles
2

Jankiewicz, Sean Phillip. "Predicting smoke detector response using a quantitative salt-water modeling technique." College Park, Md. : University of Maryland, 2004. http://hdl.handle.net/1903/1709.

Full text
Abstract:
Thesis (M.S.) -- University of Maryland, College Park, 2004.<br>Thesis research directed by: Dept. of Fire Protection Engineering. Title from t.p. of PDF. Includes bibliographical references. Published by UMI Dissertation Services, Ann Arbor, Mich. Also available in paper.
APA, Harvard, Vancouver, ISO, and other styles
3

Arvidsson, Martin, and Eric Paulsson. "Utveckling av beslutsstöd för kreditvärdighet." Thesis, Linköpings universitet, Institutionen för datavetenskap, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-97223.

Full text
Abstract:
The aim is to develop a new decision-making model for credit-loans. The model will be specific for credit applicants of the OKQ8 bank, becauseit is based on data of earlier applicants of credit from the client (the bank). The final model is, in effect, functional enough to use informationabout a new applicant as input, and predict the outcome to either the good risk group or the bad risk group based on the applicant’s properties.The prediction may then lay the foundation for the decision to grant or deny credit loan. Because of the skewed distribution in the response variable, different sampli
APA, Harvard, Vancouver, ISO, and other styles
4

Wang, Xiaoguang. "Design and Analysis of Techniques for Multiple-Instance Learning in the Presence of Balanced and Skewed Class Distributions." Thesis, Université d'Ottawa / University of Ottawa, 2015. http://hdl.handle.net/10393/32184.

Full text
Abstract:
With the continuous expansion of data availability in many large-scale, complex, and networked systems, such as surveillance, security, the Internet, and finance, it becomes critical to advance the fundamental understanding of knowledge discovery and analysis from raw data to support decision-making processes. Existing knowledge discovery and data analyzing techniques have shown great success in many real-world applications such as applying Automatic Target Recognition (ATR) methods to detect targets of interest in imagery, drug activity prediction, computer vision recognition, and so on. Amo
APA, Harvard, Vancouver, ISO, and other styles
5

Cooper, Philip Ray. "The effect of tobacco smoke exposure on the function and structure of rat small airways using a novel technique of precision cut lung slices and video microscopy." Thesis, Imperial College London, 2007. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.498309.

Full text
APA, Harvard, Vancouver, ISO, and other styles
6

Marris, Hélène. "Métrologie de la fraction fine de l'aérosol métallurgique : apport des techniques micro-analytiques (microspectrométrie X et spectroscopie de perte d'énergie des électrons." Phd thesis, Université du Littoral Côte d'Opale, 2012. http://tel.archives-ouvertes.fr/tel-00871711.

Full text
Abstract:
Les poussières émises par l'industrie métallurgique concourent à la qualité de l'air des zones urbaines voisines. Ces particules, émises par des procédés à "haute température", sont susceptibles d'évoluer rapidement au sein des panaches. L'objectif de l'étude est de caractériser la phase particulaire sur un site d'émission métallurgique et de déterminer la nature et l'amplitude des transformations physico-chimiques subies par ces particules dans les premières minutes de leur émission. Des prélèvements d'aérosols ont été réalisés au sein des cheminées et dans l'environnement proche d'une usine
APA, Harvard, Vancouver, ISO, and other styles
7

Alonso, Roura Mònica. "Development of new solvent-free microextraction techniques for the analysis of volatile organic compounds: application to the use of breath analysis as a toxicological tool for explosure analysis." Doctoral thesis, Universitat de Girona, 2012. http://hdl.handle.net/10803/107880.

Full text
Abstract:
Hippocrates predicted many years ago that breath could tell something related with our health. On his treaties, he indicated that when the body starts moving after sleeping, and breathe with more frequency, something hot and acid is expelled with air. It is possible to predict a disease from breath, but it has not been until recent years that last developments in breath analysis has allowed to detect compounds precisely and to associate the presence of these compounds to certain diseases. The use of breath analysis in clinical diagnosis and exposure to contaminants presents great advantages as
APA, Harvard, Vancouver, ISO, and other styles
8

鄒景隆. "Novel sampling methods based on synthetic minority over-sampling technique(SMOTE)for imbalanced data classification." Thesis, 2007. http://ndltd.ncl.edu.tw/handle/ek4vzp.

Full text
APA, Harvard, Vancouver, ISO, and other styles
9

Tsai, Meng-Fong, and 蔡孟峰. "Application and Study of imbalanced datasets base on Top-N Reverse k-Nearest Neighbor (TRkNN) coupled with Synthetic Minority Over-Sampling Technique (SMOTE)." Thesis, 2017. http://ndltd.ncl.edu.tw/handle/38104987938865711006.

Full text
Abstract:
博士<br>國立中興大學<br>資訊科學與工程學系<br>105<br>The imbalanced classification means the dataset has an unequal class distribution among its population. For a given dataset without considering the imbalanced issue, most classification methods often predict the high accuracy for the majority class, but significantly low accuracy for the minority class. The first task in this dissertation is to provide an efficient algorithm, Top-N Reverse k-Nearest Neighbor (TRkNN), coupled with Synthetic Minority Over-Sampling TEchnique (SMOTE) to overcome this issue for several imbalanced datasets from famous UCI datasets
APA, Harvard, Vancouver, ISO, and other styles
10

Dolo, Kgaugelo Moses. "Differential evolution technique on weighted voting stacking ensemble method for credit card fraud detection." Diss., 2019. http://hdl.handle.net/10500/26758.

Full text
Abstract:
Differential Evolution is an optimization technique of stochastic search for a population-based vector, which is powerful and efficient over a continuous space for solving differentiable and non-linear optimization problems. Weighted voting stacking ensemble method is an important technique that combines various classifier models. However, selecting the appropriate weights of classifier models for the correct classification of transactions is a problem. This research study is therefore aimed at exploring whether the Differential Evolution optimization method is a good approach for defining t
APA, Harvard, Vancouver, ISO, and other styles

Books on the topic "SMOTE technique"

1

Autodesk, inc. Autodesk smoke 2008 user's guide. Autodesk, 2007.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
2

Inc, Autodesk. Autodesk Smoke 2011: User guide. Autodesk, 2011.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
3

SMPTE Advanced Television and Electronic Imaging Conference (26th 1992 San Francisco, Calif.). Proceedings, the 26th annual SMPTE Advanced Television and Electronic Imaging Conference: Collision or convergence : digital video/audio, computers, and telecommunications : February 7-8, 1992, Westin St. Francis Hotel, San Francisco, Calif. Edited by Friedman Jeffrey B and Society of Motion Picture and Television Engineers. Society of Motion Picture and Television Engineers, 1992.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
4

York, N. Y. ). SMPTE Technical Conference and Exhibition (141st 1999 New. Sprockets, samples, and satellites: Moving imaging into the third millennium : proceedings : 141st SMPTE Technical Conference and Exhibition : November 19-22, 1999, Marriott Marquis Hotel, New York, NY. SMPTE, 1999.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
5

Inc, Autodesk, ed. Autodesk Smoke 2010: User guide. Autodesk, 2009.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
6

A, Banks B., and United States. National Aeronautics and Space Administration., eds. Atomic oxygen treatment technique for removal of smoke damage from paintings. National Aeronautics and Space Administration, 1997.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
7

Horowitz, Will, Marisa Dobson, and Julie Horowitz. Salt Smoke Time: Homesteading and Heritage Techniques for the Modern Kitchen. William Morrow Cookbooks, 2019.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
8

Fleischman, Will. Smoking Meat: Tools - Techniques - Cuts - Recipes; Perfect the Art of Cooking with Smoke. DK, 2016.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
9

O'Neal, Wendy. Smoke It Like a Pit Master with Your Electric Smoker: Recipes and Techniques for Easy and Delicious BBQ. Ulysses Press, 2016.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
10

Bicocchi. Les polluants et les techniques d'épuration des fumées (cas des unités de destruction thermique des déchets): Etat de l'art. Tech.& Doc./Lavoisier, 1998.

Find full text
APA, Harvard, Vancouver, ISO, and other styles

Book chapters on the topic "SMOTE technique"

1

Zięba, Maciej, Jakub M. Tomczak, and Adam Gonczarek. "RBM-SMOTE: Restricted Boltzmann Machines for Synthetic Minority Oversampling Technique." In Intelligent Information and Database Systems. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-15702-3_37.

Full text
APA, Harvard, Vancouver, ISO, and other styles
2

Kamarulzalis, Ahmad Haadzal, Muhamad Hasbullah Mohd Razali, and Balkiah Moktar. "Data Pre-Processing Using SMOTE Technique for Gender Classification with Imbalance Hu’s Moments Features." In Proceedings of the Second International Conference on the Future of ASEAN (ICoFA) 2017 – Volume 2. Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-10-8471-3_37.

Full text
APA, Harvard, Vancouver, ISO, and other styles
3

Bunkhumpornpat, Chumphol, Krung Sinapiromsaran, and Chidchanok Lursinsap. "Safe-Level-SMOTE: Safe-Level-Synthetic Minority Over-Sampling TEchnique for Handling the Class Imbalanced Problem." In Advances in Knowledge Discovery and Data Mining. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-01307-2_43.

Full text
APA, Harvard, Vancouver, ISO, and other styles
4

Thaher, Thaer, and Faisal Khamayseh. "A Classification Model for Software Bug Prediction Based on Ensemble Deep Learning Approach Boosted with SMOTE Technique." In Advances in Intelligent Systems and Computing. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-33-6984-9_9.

Full text
APA, Harvard, Vancouver, ISO, and other styles
5

Awujoola, Olalekan J., Francisca N. Ogwueleka, Martins E. Irhebhude, and Sanjay Misra. "Wrapper Based Approach for Network Intrusion Detection Model with Combination of Dual Filtering Technique of Resample and SMOTE." In Artificial Intelligence for Cyber Security: Methods, Issues and Possible Horizons or Opportunities. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-72236-4_6.

Full text
APA, Harvard, Vancouver, ISO, and other styles
6

Tiwari, Anoop Kumar, Shivam Shreevastava, Karthikeyan Subbiah, and Tanmoy Som. "Enhanced Prediction for Piezophilic Protein by Incorporating Reduced Set of Amino Acids Using Fuzzy-Rough Feature Selection Technique Followed by SMOTE." In Mathematics and Computing. Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-13-2095-8_15.

Full text
APA, Harvard, Vancouver, ISO, and other styles
7

Bhogal, Gurgeet Singh, and Anil Kumar Rawat. "Analysis on Smoke Detection Techniques." In Smart Intelligent Computing and Applications. Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-9282-5_16.

Full text
APA, Harvard, Vancouver, ISO, and other styles
8

Bharathiraja, M., Ragupathy Karu, P. Arjunraj, and P. D. Jeyakumar. "Comparison of Concurrent Reduction of Smoke and NOx Emission Techniques." In Lecture Notes in Mechanical Engineering. Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-5996-9_30.

Full text
APA, Harvard, Vancouver, ISO, and other styles
9

Gupta, Mohit, Pulkit Mehndiratta, and Akanksha Bhardwaj. "Object Recognition in Hand Drawn Images Using Machine Ensembling Techniques and Smote Sampling." In Communications in Computer and Information Science. Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-15-1384-8_19.

Full text
APA, Harvard, Vancouver, ISO, and other styles
10

Lu, Bin, Lin Wang, and Yi-Nan Wu. "Real-Time Smoke Image Computer Simulation Based on Image Layers’ Drawing Technique." In Lecture Notes in Electrical Engineering. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-40618-8_94.

Full text
APA, Harvard, Vancouver, ISO, and other styles

Conference papers on the topic "SMOTE technique"

1

Das, Riju, Saroj Kr Biswas, Debashree Devi, and Biswajit Sarma. "An Oversampling Technique by Integrating Reverse Nearest Neighbor in SMOTE: Reverse-SMOTE." In 2020 International Conference on Smart Electronics and Communication (ICOSEC). IEEE, 2020. http://dx.doi.org/10.1109/icosec49089.2020.9215387.

Full text
APA, Harvard, Vancouver, ISO, and other styles
2

Xing Zhong, Zhang, Akotonou J. Michael, Zhao Jie Lun, and Dong Hong Yue. "Ecg Classification using Machine Learning Techniques and Smote Oversampling Technique." In IPMV 2020: 2020 2nd International Conference on Image Processing and Machine Vision. ACM, 2020. http://dx.doi.org/10.1145/3421558.3421560.

Full text
APA, Harvard, Vancouver, ISO, and other styles
3

Wang, Jingjing, Wen Feng Lu, and Han Tong Loh. "P-SMOTE: One Oversampling Technique for Class Imbalanced Text Classification." In ASME 2011 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2011. http://dx.doi.org/10.1115/detc2011-47313.

Full text
Abstract:
The importance of mining patents to support product design has been recognized, because patents are the major information source to support innovation and contain novel ideas, which usually cannot be found in published academic papers. In patent text mining, a basic issue is patent classification. However, automatic patent classification is difficult. One potential cause of the difficulty is the imbalanced dataset i.e. the interested positive class is minor while uninterested negative class is major. To alleviate the problem of imbalanced dataset and improve the performance of a Support Vector
APA, Harvard, Vancouver, ISO, and other styles
4

El-Sayed, Asmaa Ahmed, Mahmood Abdel Manem Mahmood, Nagwa Abdel Meguid, and Hesham Ahmed Hefny. "Handling autism imbalanced data using synthetic minority over-sampling technique (SMOTE)." In 2015 Third World Conference on Complex Systems (WCCS). IEEE, 2015. http://dx.doi.org/10.1109/icocs.2015.7483267.

Full text
APA, Harvard, Vancouver, ISO, and other styles
5

Mustafa, Nadir, and Jian-Ping Li. "Medical data classification scheme based on hybridized SMOTE technique (HST) and Rough Set technique (RST)." In 2017 IEEE 2nd International Conference on Cloud Computing and Big Data Analysis (ICCCBDA). IEEE, 2017. http://dx.doi.org/10.1109/icccbda.2017.7951883.

Full text
APA, Harvard, Vancouver, ISO, and other styles
6

Deepa, T., and M. Punithavalli. "An E-SMOTE technique for feature selection in High-Dimensional Imbalanced Dataset." In 2011 3rd International Conference on Electronics Computer Technology (ICECT). IEEE, 2011. http://dx.doi.org/10.1109/icectech.2011.5941710.

Full text
APA, Harvard, Vancouver, ISO, and other styles
7

Abeysinghe, Wajira, Chih-Cheng Hung, Slim Bechikh, Xiaosong Wang, and Altaf Rattani. "Clustering algorithms on imbalanced data using the SMOTE technique for image segmentation." In RACS '18: International Conference on Research in Adaptive and Convergent Systems. ACM, 2018. http://dx.doi.org/10.1145/3264746.3264774.

Full text
APA, Harvard, Vancouver, ISO, and other styles
8

Zhou, Changsheng, Bin Liu, and Shihai Wang. "CMO-SMOTE: Misclassification Cost Minimization Oriented Synthetic Minority Oversampling Technique for Imbalanced Learning." In 2016 8th International Conference on Intelligent Human-Machine Systems and Cybernetics (IHMSC). IEEE, 2016. http://dx.doi.org/10.1109/ihmsc.2016.160.

Full text
APA, Harvard, Vancouver, ISO, and other styles
9

Kurniawan, Erwin, Fhira Nhita, Annisa Aditsania, and Deni Saepudin. "C5.0 Algorithm and Synthetic Minority Oversampling Technique (SMOTE) for Rainfall Forecasting in Bandung Regency." In 2019 7th International Conference on Information and Communication Technology (ICoICT). IEEE, 2019. http://dx.doi.org/10.1109/icoict.2019.8835324.

Full text
APA, Harvard, Vancouver, ISO, and other styles
10

Jain, Pankhuri, Anoop Kumar Tiwari, and Tanmoy Som. "Enhanced Prediction of Animal Toxins using Intuitionistic Fuzzy Rough Feature Selection Technique followed by SMOTE." In 2021 25th International Conference on Information Technology (IT). IEEE, 2021. http://dx.doi.org/10.1109/it51528.2021.9390112.

Full text
APA, Harvard, Vancouver, ISO, and other styles

Reports on the topic "SMOTE technique"

1

Podzimek, Josef. Investigation of a Complex Technique of Smoke Particle Deposition on Scavengers. Defense Technical Information Center, 1987. http://dx.doi.org/10.21236/ada181049.

Full text
APA, Harvard, Vancouver, ISO, and other styles
2

Podzimek, Josef. Investigation of a Technique for Clearing and/or Modifying a Military Smoke Cloud. Defense Technical Information Center, 1986. http://dx.doi.org/10.21236/ada171161.

Full text
APA, Harvard, Vancouver, ISO, and other styles
3

Prasad, Kuldeep, Gopal Patnaik, and K. Kailasanath. Advanced Simulation Tool for Improved Damage Assessment. 1) A Multiblock Technique for Simulating Fire and Smoke Spread in Large Complex Enclosures. Defense Technical Information Center, 2000. http://dx.doi.org/10.21236/ada375000.

Full text
APA, Harvard, Vancouver, ISO, and other styles
4

Ground-based smoke sampling techniques training course and collaborative local smoke sampling in Saudi Arabia. National Institute of Standards and Technology, 1993. http://dx.doi.org/10.6028/nist.ir.5306.

Full text
APA, Harvard, Vancouver, ISO, and other styles
You might also be interested in the extended bibliographies on the topic 'SMOTE technique' for particular source types:
Journal articles
We offer discounts on all premium plans for authors whose works are included in thematic literature selections. Contact us to get a unique promo code!

To the bibliography