Journal articles on the topic 'Artificial datasets'
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Serrano-Pérez, Jonathan, and L. Enrique Sucar. "Artificial datasets for hierarchical classification." Expert Systems with Applications 182 (November 2021): 115218. http://dx.doi.org/10.1016/j.eswa.2021.115218.
Lychev, Andrey V. "Synthetic Data Generation for Data Envelopment Analysis." Data 8, no. 10 (September 27, 2023): 146. http://dx.doi.org/10.3390/data8100146.
Petráš, Jaroslav, Marek Pavlík, Ján Zbojovský, Ardian Hyseni, and Jozef Dudiak. "Benford’s Law in Electric Distribution Network." Mathematics 11, no. 18 (September 10, 2023): 3863. http://dx.doi.org/10.3390/math11183863.
Dasari, Kishore Babu, and Nagaraju Devarakonda. "TCP/UDP-Based Exploitation DDoS Attacks Detection Using AI Classification Algorithms with Common Uncorrelated Feature Subset Selected by Pearson, Spearman and Kendall Correlation Methods." Revue d'Intelligence Artificielle 36, no. 1 (February 28, 2022): 61–71. http://dx.doi.org/10.18280/ria.360107.
Kusetogullari, Huseyin, Amir Yavariabdi, Abbas Cheddad, Håkan Grahn, and Johan Hall. "ARDIS: a Swedish historical handwritten digit dataset." Neural Computing and Applications 32, no. 21 (March 29, 2019): 16505–18. http://dx.doi.org/10.1007/s00521-019-04163-3.
Morgan, Maria, Carla Blank, and Raed Seetan. "Plant disease prediction using classification algorithms." IAES International Journal of Artificial Intelligence (IJ-AI) 10, no. 1 (March 1, 2021): 257. http://dx.doi.org/10.11591/ijai.v10.i1.pp257-264.
Saul, Marcia, and Shahin Rostami. "Assessing performance of artificial neural networks and re-sampling techniques for healthcare datasets." Health Informatics Journal 28, no. 1 (January 2022): 146045822210871. http://dx.doi.org/10.1177/14604582221087109.
Gau, Michael-Lian, Huong-Yong Ting, Teck-Hock Toh, Pui-Ying Wong, Pei-Jun Woo, Su-Woan Wo, and Gek-Ling Tan. "Effectiveness of Using Artificial Intelligence for Early Child Development Screening." Green Intelligent Systems and Applications 3, no. 1 (May 9, 2023): 1–13. http://dx.doi.org/10.53623/gisa.v3i1.229.
GHAFFARI, REZA, IOAN GROSU, DACIANA ILIESCU, EVOR HINES, and MARK LEESON. "DIMENSIONALITY REDUCTION FOR SENSORY DATASETS BASED ON MASTER–SLAVE SYNCHRONIZATION OF LORENZ SYSTEM." International Journal of Bifurcation and Chaos 23, no. 05 (May 2013): 1330013. http://dx.doi.org/10.1142/s0218127413300139.
Pavlov, Nikolay A., Anna E. Andreychenko, Anton V. Vladzymyrskyy, Anush A. Revazyan, Yury S. Kirpichev, and Sergey P. Morozov. "Reference medical datasets (MosMedData) for independent external evaluation of algorithms based on artificial intelligence in diagnostics." Digital Diagnostics 2, no. 1 (April 30, 2021): 49–66. http://dx.doi.org/10.17816/dd60635.
Akgül, İsmail, Volkan Kaya, and Özge Zencir Tanır. "A novel hybrid system for automatic detection of fish quality from eye and gill color characteristics using transfer learning technique." PLOS ONE 18, no. 4 (April 25, 2023): e0284804. http://dx.doi.org/10.1371/journal.pone.0284804.
Vasilev, Y. A., T. M. Bobrovskaya, K. M. Arzamasov, S. F. Chetverikov, A. V. Vladzymyrskyy, O. V. Omelyanskaya, A. E. Andreychenko, N. A. Pavlov, and L. N. Anishchenko. "Medical datasets for machine learning: fundamental principles of standartization and systematization." Manager Zdravookhranenia, no. 4 (June 7, 2023): 28–41. http://dx.doi.org/10.21045/1811-0185-2023-4-28-41.
Xie, Ning-Ning, Fang-Fang Wang, Jue Zhou, Chang Liu, and Fan Qu. "Establishment and Analysis of a Combined Diagnostic Model of Polycystic Ovary Syndrome with Random Forest and Artificial Neural Network." BioMed Research International 2020 (August 20, 2020): 1–13. http://dx.doi.org/10.1155/2020/2613091.
Antczak, Karol. "On regularization properties of artificial datasets for deep learning." Computer Science and Mathematical Modelling, no. 9/2019 (November 30, 2019): 13–18. http://dx.doi.org/10.5604/01.3001.0013.6599.
Mathur, Varoon, Caitlin Lustig, and Elizabeth Kaziunas. "Disordering Datasets." Proceedings of the ACM on Human-Computer Interaction 6, CSCW2 (November 7, 2022): 1–33. http://dx.doi.org/10.1145/3555141.
Alshayeb, Mohammad, and Mashaan A. Alshammari. "The Effect of the Dataset Size on the Accuracy of Software Defect Prediction Models: An Empirical Study." Inteligencia Artificial 24, no. 68 (October 26, 2021): 72–88. http://dx.doi.org/10.4114/intartif.vol24iss68pp72-88.
Orelaja, Adeyinka, Chidubem Ejiofor, Samuel Sarpong, Success Imakuh, Christian Bassey, Iheanyichukwu Opara, Josiah Nii Armah Tettey, and Omolola Akinola. "Attribute-specific Cyberbullying Detection Using Artificial Intelligence." Journal of Electronic & Information Systems 6, no. 1 (February 28, 2024): 10–21. http://dx.doi.org/10.30564/jeis.v6i1.6206.
Wilde, Henry, Vincent Knight, and Jonathan Gillard. "Evolutionary dataset optimisation: learning algorithm quality through evolution." Applied Intelligence 50, no. 4 (December 27, 2019): 1172–91. http://dx.doi.org/10.1007/s10489-019-01592-4.
Harper, F. Maxwell, and Joseph A. Konstan. "The MovieLens Datasets." ACM Transactions on Interactive Intelligent Systems 5, no. 4 (January 7, 2016): 1–19. http://dx.doi.org/10.1145/2827872.
Sgantzos, Konstantinos, and Ian Grigg. "Artificial Intelligence Implementations on the Blockchain. Use Cases and Future Applications." Future Internet 11, no. 8 (August 2, 2019): 170. http://dx.doi.org/10.3390/fi11080170.
Ansari, Shaheer, Afida Ayob, Molla Shahadat Hossain Lipu, Aini Hussain, and Mohamad Hanif Md Saad. "Multi-Channel Profile Based Artificial Neural Network Approach for Remaining Useful Life Prediction of Electric Vehicle Lithium-Ion Batteries." Energies 14, no. 22 (November 11, 2021): 7521. http://dx.doi.org/10.3390/en14227521.
Knoblock, Craig A., and Pedro Szekely. "Exploiting Semantics for Big Data Integration." AI Magazine 36, no. 1 (March 25, 2015): 25–38. http://dx.doi.org/10.1609/aimag.v36i1.2565.
Chiang, Cheng-Han, and Hung-yi Lee. "On the Transferability of Pre-trained Language Models: A Study from Artificial Datasets." Proceedings of the AAAI Conference on Artificial Intelligence 36, no. 10 (June 28, 2022): 10518–25. http://dx.doi.org/10.1609/aaai.v36i10.21295.
Chen, M., V. Rotemberg, J. Lester, R. Novoa, A. Chiou, and R. Daneshjou. "662 Evaluation of diagnosis diversity in artificial intelligence datasets." Journal of Investigative Dermatology 142, no. 8 (August 2022): S114. http://dx.doi.org/10.1016/j.jid.2022.05.673.
Wahid, Kareem A., Enrico Glerean, Jaakko Sahlsten, Joel Jaskari, Kimmo Kaski, Mohamed A. Naser, Renjie He, Abdallah S. R. Mohamed, and Clifton D. Fuller. "Artificial Intelligence for Radiation Oncology Applications Using Public Datasets." Seminars in Radiation Oncology 32, no. 4 (October 2022): 400–414. http://dx.doi.org/10.1016/j.semradonc.2022.06.009.
Mesquita, Diego P. P., João Paulo P. Gomes, and Leonardo R. Rodrigues. "Artificial Neural Networks with Random Weights for Incomplete Datasets." Neural Processing Letters 50, no. 3 (March 6, 2019): 2345–72. http://dx.doi.org/10.1007/s11063-019-10012-0.
Altman, RB. "Artificial intelligence (AI) systems for interpreting complex medical datasets." Clinical Pharmacology & Therapeutics 101, no. 5 (March 17, 2017): 585–86. http://dx.doi.org/10.1002/cpt.650.
Uma, Alexandra N., Tommaso Fornaciari, Dirk Hovy, Silviu Paun, Barbara Plank, and Massimo Poesio. "Learning from Disagreement: A Survey." Journal of Artificial Intelligence Research 72 (December 27, 2021): 1385–470. http://dx.doi.org/10.1613/jair.1.12752.
Mehta, Harshkumar, and Kalpdrum Passi. "Social Media Hate Speech Detection Using Explainable Artificial Intelligence (XAI)." Algorithms 15, no. 8 (August 17, 2022): 291. http://dx.doi.org/10.3390/a15080291.
Aggarwal, Mukul, Amod Kumar Tiwari, and M. Partha Sarathi. "Comparative Analysis of Deep Learning Models on Brain Tumor Segmentation Datasets: BraTS 2015-2020 Datasets." Revue d'Intelligence Artificielle 36, no. 6 (December 31, 2022): 863–71. http://dx.doi.org/10.18280/ria.360606.
Dewangan, Neha, Kavita Thakur, Sunandan Mandal, and Bikesh Kumar Singh. "Time-Frequency Image-based Speech Emotion Recognition using Artificial Neural Network." Journal of Ravishankar University (PART-B) 36, no. 2 (December 31, 2023): 144–57. http://dx.doi.org/10.52228/jrub.2023-36-2-10.
Dognin, Pierre, Igor Melnyk, Youssef Mroueh, Inkit Padhi, Mattia Rigotti, Jarret Ross, Yair Schiff, Richard A. Young, and Brian Belgodere. "Image Captioning as an Assistive Technology: Lessons Learned from VizWiz 2020 Challenge." Journal of Artificial Intelligence Research 73 (January 31, 2022): 437–59. http://dx.doi.org/10.1613/jair.1.13113.
Polymenis, Ioannis, Maryam Haroutunian, Rose Norman, and David Trodden. "Virtual Underwater Datasets for Autonomous Inspections." Journal of Marine Science and Engineering 10, no. 9 (September 13, 2022): 1289. http://dx.doi.org/10.3390/jmse10091289.
Landes, Juergen, and Jon Williamson. "Objective Bayesian Nets for Integrating Consistent Datasets." Journal of Artificial Intelligence Research 74 (May 27, 2022): 393–458. http://dx.doi.org/10.1613/jair.1.13363.
Rodriguez-Baena, Domingo S. "Extracting and validating biclusters from binary datasets." AI Communications 26, no. 4 (2013): 417–18. http://dx.doi.org/10.3233/aic-130570.
Alfonso Perez, Gerardo, and Javier Caballero Villarraso. "Alzheimer Identification through DNA Methylation and Artificial Intelligence Techniques." Mathematics 9, no. 19 (October 4, 2021): 2482. http://dx.doi.org/10.3390/math9192482.
Vobecký, Antonín, David Hurych, Michal Uřičář, Patrick Pérez, and Josef Sivic. "Artificial Dummies for Urban Dataset Augmentation." Proceedings of the AAAI Conference on Artificial Intelligence 35, no. 3 (May 18, 2021): 2692–700. http://dx.doi.org/10.1609/aaai.v35i3.16373.
Merdas, Hussam, and Ayad Mousa. "Forecasting Sales of Iraqi Dates Using Artificial Intelligence." Iraqi Journal of Intelligent Computing and Informatics (IJICI) 2, no. 2 (November 17, 2023): 130–45. http://dx.doi.org/10.52940/ijici.v2i2.47.
Kang, Myounghee, Takeshi Nakamura, and Akira Hamano. "A methodology for acoustic and geospatial analysis of diverse artificial-reef datasets." ICES Journal of Marine Science 68, no. 10 (September 2, 2011): 2210–21. http://dx.doi.org/10.1093/icesjms/fsr141.
Agliari, Elena, Francesco Alemanno, Miriam Aquaro, Adriano Barra, Fabrizio Durante, and Ido Kanter. "Hebbian dreaming for small datasets." Neural Networks 173 (May 2024): 106174. http://dx.doi.org/10.1016/j.neunet.2024.106174.
Chiaia, Bernardino, and Valerio De Biagi. "Archetypal Use of Artificial Intelligence for Bridge Structural Monitoring." Applied Sciences 10, no. 20 (October 14, 2020): 7157. http://dx.doi.org/10.3390/app10207157.
Kamp, R. G., and H. H. G. Savenije. "Optimising training data for ANNs with Genetic Algorithms." Hydrology and Earth System Sciences 10, no. 4 (September 7, 2006): 603–8. http://dx.doi.org/10.5194/hess-10-603-2006.
Perafan-Lopez, Juan Carlos, Valeria Lucía Ferrer-Gregory, César Nieto-Londoño, and Julián Sierra-Pérez. "Performance Analysis and Architecture of a Clustering Hybrid Algorithm Called FA+GA-DBSCAN Using Artificial Datasets." Entropy 24, no. 7 (June 25, 2022): 875. http://dx.doi.org/10.3390/e24070875.
Adolfo, Cid Mathew Santiago, Hassan Chizari, Thu Yein Win, and Salah Al-Majeed. "Sample Reduction for Physiological Data Analysis Using Principal Component Analysis in Artificial Neural Network." Applied Sciences 11, no. 17 (September 6, 2021): 8240. http://dx.doi.org/10.3390/app11178240.
Guha, Ritam, Manosij Ghosh, Pawan Kumar Singh, Ram Sarkar, and Mita Nasipuri. "M-HMOGA: A New Multi-Objective Feature Selection Algorithm for Handwritten Numeral Classification." Journal of Intelligent Systems 29, no. 1 (June 14, 2019): 1453–67. http://dx.doi.org/10.1515/jisys-2019-0064.
Aliyari, Mostafa, and Yonas Zewdu Ayele. "Application of Artificial Neural Networks for Power Load Prediction in Critical Infrastructure: A Comparative Case Study." Applied System Innovation 6, no. 6 (November 30, 2023): 115. http://dx.doi.org/10.3390/asi6060115.
Khan, Somaiya, and Ali Khan. "SkinViT: A transformer based method for Melanoma and Nonmelanoma classification." PLOS ONE 18, no. 12 (December 27, 2023): e0295151. http://dx.doi.org/10.1371/journal.pone.0295151.
Park, Min-Ho, Chang-Min Lee, Antony John Nyongesa, Hee-Joo Jang, Jae-Hyuk Choi, Jae-Jung Hur, and Won-Ju Lee. "Prediction of Emission Characteristics of Generator Engine with Selective Catalytic Reduction Using Artificial Intelligence." Journal of Marine Science and Engineering 10, no. 8 (August 13, 2022): 1118. http://dx.doi.org/10.3390/jmse10081118.
Nwokoma, Faith, Justin Foreman, and Cajetan M. Akujuobi. "Effective Data Reduction Using Discriminative Feature Selection Based on Principal Component Analysis." Machine Learning and Knowledge Extraction 6, no. 2 (April 3, 2024): 789–99. http://dx.doi.org/10.3390/make6020037.
Douzas, Georgios, Maria Lechleitner, and Fernando Bacao. "Improving the quality of predictive models in small data GSDOT: A new algorithm for generating synthetic data." PLOS ONE 17, no. 4 (April 7, 2022): e0265626. http://dx.doi.org/10.1371/journal.pone.0265626.