THE USE OF MULTIPLE MEASUREMENTS IN TAXONOMIC PROBLEMS
Abstract
The articles published by the Annals of Eugenics (1925–1954) have been made available online as an historical archive intended for scholarly use. The work of eugenicists was often pervaded by prejudice against racial, ethnic and disabled groups. The online publication of this material for scholarly research purposes is not an endorsement of those views nor a promotion of eugenics in any way.
Citing Literature
Number of times cited according to CrossRef: 7267
- Anton Akusok, Leonardo Espinosa Leal, Kaj-Mikael Björk, Amaury Lendasse, Scikit-ELM: An Extreme Learning Machine Toolbox for Dynamic and Scalable Learning, Proceedings of ELM2019, 10.1007/978-3-030-58989-9_8, (69-78), (2021).
- Achim Dannecker, Daniel Hertig, Facial Recognition and Pathfinding on the Humanoid Robot Pepper as a Starting Point for Social Interaction, New Trends in Business Information Systems and Technology, 10.1007/978-3-030-48332-6_10, (147-160), (2021).
- Gabriele Ciravegna, Pietro Barbiero, Giansalvo Cirrincione, Giovanni Squillero, Alberto Tonda, Discovering Hierarchical Neural Archetype Sets, Progresses in Artificial Intelligence and Neural Systems, 10.1007/978-981-15-5093-5_24, (255-267), (2021).
- Chong Xiang, Qingya Liu, Lei Shi, Bin Zhou, Zhenyu Liu, Prediction of Gray-King coke type from radical concentration and basic properties of coal blends, Fuel Processing Technology, 10.1016/j.fuproc.2020.106584, 211, (106584), (2021).
- Gabriele Steidl, Supervised Learning by Support Vector Machines, Handbook of Mathematical Methods in Imaging, 10.1007/978-3-642-27795-5, (1-54), (2020).
- Yiming Chen, Shiji Song, Shuang Li, Cheng Wu, A Graph Embedding Framework for Maximum Mean Discrepancy-Based Domain Adaptation Algorithms, IEEE Transactions on Image Processing, 10.1109/TIP.2019.2928630, 29, 1, (199-213), (2020).
- Aydin Kaya, Ali Seydi Keceli, Cagatay Catal, Bedir Tekinerdogan, Model analytics for defect prediction based on design-level metrics and sampling techniques, Model Management and Analytics for Large Scale Systems, 10.1016/B978-0-12-816649-9.00015-6, (125-139), (2020).
- Jonah Gamba, Jonah Gamba, Target Recognition and Classification Techniques, Radar Signal Processing for Autonomous Driving, 10.1007/978-981-13-9193-4_8, (105-121), (2020).
- Jose Alejandro Amezquita-Garcia, Miguel Enrique Bravo-Zanoguera, Felix Fernando González-Navarro, Roberto Lopez-Avitia, Hand Movement Detection from Surface Electromyography Signals by Machine Learning Techniques, VIII Latin American Conference on Biomedical Engineering and XLII National Conference on Biomedical Engineering, 10.1007/978-3-030-30648-9_29, (218-227), (2020).
- Tanzila Saba, Ahmed Sameh Mohamed, Mohammad El-Affendi, Javeria Amin, Muhammad Sharif, Brain tumor detection using fusion of hand crafted and deep learning features, Cognitive Systems Research, 10.1016/j.cogsys.2019.09.007, 59, (221-230), (2020).
- Hamidur Rahman, Mobyen Uddin Ahmed, Shaibal Barua, Shahina Begum, Non-contact-based driver’s cognitive load classification using physiological and vehicular parameters, Biomedical Signal Processing and Control, 10.1016/j.bspc.2019.101634, 55, (101634), (2020).
- Ratnik Gandhi, Mehul S Raval, Algorithms for Optimization and Machine Learning over Cloud, Nature-Inspired Computation in Data Mining and Machine Learning, 10.1007/978-3-030-28553-1_2, (23-46), (2020).
- Valeria A. Lozano, Alejandro C. Olivieri, Rocío Pellegrino Vidal, Pablo L. Pisano, Statistics and Food Quality, Reference Module in Food Science, 10.1016/B978-0-08-100596-5.22862-X, (2020).
- Sefa Celik, Ali Tugrul Albayrak, Sevim Akyuz, Aysen E. Ozel, The Role of Multivariant Analysis on the Interpretation of FTIR and Raman Spectra, Design of Experiments for Chemical, Pharmaceutical, Food, and Industrial Applications, 10.4018/978-1-7998-1518-1.ch005, (104-129), (2020).
- Tatsuro Sakaguchi, Naoki Wakamiya, Consideration on liquid structure contributing to discrimination capability of Liquid State Machine, Nonlinear Theory and Its Applications, IEICE, 10.1587/nolta.11.36, 11, 1, (36-59), (2020).
- Richard PG Charlesworth, Diagnosing coeliac disease: Out with the old and in with the new?, World Journal of Gastroenterology, 10.3748/wjg.v26.i1.1, 26, 1, (1-10), (2020).
- Tuan D. Pham, Tuan D. Pham, Entropy Algorithms, Fuzzy Recurrence Plots and Networks with Applications in Biomedicine, 10.1007/978-3-030-37530-0, (81-97), (2020).
- Dong Van Dao, Abolfazl Jaafari, Mahmoud Bayat, Davood Mafi-Gholami, Chongchong Qi, Hossein Moayedi, Tran Van Phong, Hai-Bang Ly, Tien-Thinh Le, Phan Trong Trinh, Chinh Luu, Nguyen Kim Quoc, Bui Nhi Thanh, Binh Thai Pham, A spatially explicit deep learning neural network model for the prediction of landslide susceptibility, CATENA, 10.1016/j.catena.2019.104451, 188, (104451), (2020).
- Xugang Xi, Wenjun Jiang, Zhong Lü, Seyed M. Miran, Zhi-Zeng Luo, Daily Activity Monitoring and Fall Detection Based on Surface Electromyography and Plantar Pressure, Complexity, 10.1155/2020/9532067, 2020, (1-12), (2020).
- Manoj Kumar Naik, Aneesh Wunnava, Classical 2D Face Recognition: A Survey on Methods, Face Databases, and Performance Evaluation, Advances in Intelligent Computing and Communication, 10.1007/978-981-15-2774-6_45, (375-383), (2020).
- Arbia Soula, Khaoula Tbarki, Riadh Ksantini, Salma Ben Said, Zied Lachiri, A novel incremental Kernel Nonparametric SVM model (iKN-SVM) for data classification: An application to face detection, Engineering Applications of Artificial Intelligence, 10.1016/j.engappai.2019.103468, 89, (103468), (2020).
- Bin Shi, Nicola Calabretta, Ripalta Stabile, Deep Neural Network Through an InP SOA-Based Photonic Integrated Cross-Connect, IEEE Journal of Selected Topics in Quantum Electronics, 10.1109/JSTQE.2019.2945548, 26, 1, (1-11), (2020).
- Melisew Tefera Belachew, Nicoletta Del Buono, Hybrid projective nonnegative matrix factorization based on α-divergence and the alternating least squares algorithm, Applied Mathematics and Computation, 10.1016/j.amc.2019.124825, 369, (124825), (2020).
- Mousa Nazari, Saeid Pashazadeh, Density Clustering Based Data Association Approach for Tracking Multiple Targets in Cluttered Environment, Data Science: From Research to Application, 10.1007/978-3-030-37309-2_7, (76-88), (2020).
- Håkon Otneim, Martin Jullum, Dag Tjøstheim, Pairwise local Fisher and naive Bayes: Improving two standard discriminants, Journal of Econometrics, 10.1016/j.jeconom.2020.01.019, (2020).
- Ludwig Lausser, Robin Szekely, Attila Klimmek, Florian Schmid, Hans A. Kestler, Constraining classifiers in molecular analysis: invariance and robustness, Journal of The Royal Society Interface, 10.1098/rsif.2019.0612, 17, 163, (20190612), (2020).
- Nataliia A. Obukhova, Alexander A. Motyko, Alexaner A. Pozdeev, Two-Stage Method for Polyps Segmentation in Endoscopic Images, Computer Vision in Control Systems—6, 10.1007/978-3-030-39177-5_8, (93-106), (2020).
- Supratik Kar, Hans Sanderson, Kunal Roy, Emilio Benfenati, Jerzy Leszczynski, Ecotoxicological assessment of pharmaceuticals and personal care products using predictive toxicology approaches, Green Chemistry, 10.1039/C9GC03265G, (2020).
- Elvira Pirondini, Nurit Goldshuv-Ezra, Nofya Zinger, Juliane Britz, Nachum Soroker, Leon Y. Deouell, Dimitri Van De Ville, Resting-State EEG Topographies: Reliable and Sensitive Signatures of Unilateral Spatial Neglect, NeuroImage: Clinical, 10.1016/j.nicl.2020.102237, (102237), (2020).
- Xolani Dastile, Turgay Celik, Moshe Potsane, Statistical and machine learning models in credit scoring: A systematic literature survey, Applied Soft Computing, 10.1016/j.asoc.2020.106263, (106263), (2020).
- References, Advantages and Pitfalls of Pattern Recognition, 10.1016/B978-0-12-811842-9.16001-7, (315-326), (2020).
- Stephen R Piccolo, Terry J Lee, Erica Suh, Kimball Hill, ShinyLearner: A containerized benchmarking tool for machine-learning classification of tabular data, GigaScience, 10.1093/gigascience/giaa026, 9, 4, (2020).
- Alessandra Biancolillo, Federico Marini, Chemometric Classification Methods in Omic Data Analysis, Reference Module in Food Science, 10.1016/B978-0-08-100596-5.22903-X, (2020).
- L. L. Custode, C. L. Tecce, I. Bakurov, M. Castelli, A. Della Cioppa, L. Vanneschi, A Greedy Iterative Layered Framework for Training Feed Forward Neural Networks, Applications of Evolutionary Computation, 10.1007/978-3-030-43722-0_33, (513-529), (2020).
- Adrien P. Genoud, Yunpeng Gao, Gregory M. Williams, Benjamin P. Thomas, A comparison of supervised machine learning algorithms for mosquito identification from backscattered optical signals, Ecological Informatics, 10.1016/j.ecoinf.2020.101090, (101090), (2020).
- Yang Liu, Zhonglei Gu, Tobey H. Ko, Jiming Liu, Identifying Key Opinion Leaders in Social Media via Modality-Consistent Harmonized Discriminant Embedding, IEEE Transactions on Cybernetics, 10.1109/TCYB.2018.2871765, 50, 2, (717-728), (2020).
- Jia Pan, Genshun Wan, Jun Du, Zhongfu Ye, Online Speaker Adaptation Using Memory-Aware Networks for Speech Recognition, IEEE/ACM Transactions on Audio, Speech, and Language Processing, 10.1109/TASLP.2020.2980372, 28, (1025-1037), (2020).
- Ci‐Ren Jiang, Lu‐Hung Chen, Filtering‐based approaches for functional data classification, WIREs Computational Statistics , 10.1002/wics.1490, 12, 4, (2020).
- Scott Pardo, Scott Pardo, Multivariate Analysis and Classification, Statistical Analysis of Empirical Data, 10.1007/978-3-030-43328-4, (209-217), (2020).
- Shuxiang Cao, Leonard Wossnig, Brian Vlastakis, Peter Leek, Edward Grant, Cost-function embedding and dataset encoding for machine learning with parametrized quantum circuits, Physical Review A, 10.1103/PhysRevA.101.052309, 101, 5, (2020).
- Yue Deng, Zhanli Li, Haixian Wang, Xuesong Lu, Hui Fan, undefined, 2020 IEEE 4th Information Technology, Networking, Electronic and Automation Control Conference (ITNEC), 10.1109/ITNEC48623.2020.9084657, (813-816), (2020).
- Thomas. Rincy. N, Roopam Gupta, undefined, 2020 IEEE International Students' Conference on Electrical,Electronics and Computer Science (SCEECS), 10.1109/SCEECS48394.2020.190, (1-6), (2020).
- Charu C. Aggarwal, Charu C. Aggarwal, Optimization Basics: A Machine Learning View, Linear Algebra and Optimization for Machine Learning, 10.1007/978-3-030-40344-7, (141-203), (2020).
- David Charte, Francisco Charte, María J. del Jesus, Francisco Herrera, An analysis on the use of autoencoders for representation learning: Fundamentals, learning task case studies, explainability and challenges, Neurocomputing, 10.1016/j.neucom.2020.04.057, 404, (93-107), (2020).
- Wei Wei, Hua Dai, Weitai Liang, Regularized least squares locality preserving projections with applications to image recognition, Neural Networks, 10.1016/j.neunet.2020.05.023, (2020).
- Yinglin Xia, Correlation and association analyses in microbiome study integrating multiomics in health and disease, , 10.1016/bs.pmbts.2020.04.003, (2020).
- Sajad Sabzi, Yousef Abbaspour-Gilandeh, Juan Ignacio Arribas, An automatic visible-range video weed detection, segmentation and classification prototype in potato field, Heliyon, 10.1016/j.heliyon.2020.e03685, 6, 5, (e03685), (2020).
- Nandita Sengupta, Jaya Sil, Nandita Sengupta, Jaya Sil, Introduction, Intrusion Detection, 10.1007/978-981-15-2716-6_1, (1-25), (2020).
- Mehmet Akif Alper, John Goudreau, Morris Daniel, Pose and Optical Flow Fusion (POFF) for accurate tremor detection and quantification, Biocybernetics and Biomedical Engineering, 10.1016/j.bbe.2020.01.009, (2020).
- Satoshi Aoki, Effect sizes of the differences between means without assuming variance equality and between a mean and a constant, Heliyon, 10.1016/j.heliyon.2020.e03306, 6, 1, (e03306), (2020).
- Alexander Sboev, Alexey Serenko, Roman Rybka, Danila Vlasov, Solving a classification task by spiking neural network with STDP based on rate and temporal input encoding, Mathematical Methods in the Applied Sciences, 10.1002/mma.6241, 43, 13, (7802-7814), (2020).
- Hassan Khastavaneh, Hossein Ebrahimpour-Komleh, Representation Learning Techniques: An Overview, Data Science: From Research to Application, 10.1007/978-3-030-37309-2_8, (89-104), (2020).
- Shumei Chen, Jianbo Yu, Shijin Wang, One-dimensional convolutional auto-encoder-based feature learning for fault diagnosis of multivariate processes, Journal of Process Control, 10.1016/j.jprocont.2020.01.004, 87, (54-67), (2020).
- Arati Paul, Putul Sahoo, Nabendu Chaki, Dimensionality Reduction of Hyperspectral Images: A Data-Driven Approach for Band Selection, Advanced Computing and Systems for Security, 10.1007/978-981-15-2930-6_2, (11-27), (2020).
- Rama Chellappa, Pavan Turaga, Feature Selection, Computer Vision, 10.1007/978-3-030-03243-2, (1-5), (2020).
- Divya Kaushik, Utkarsh Singh, Upasana Sahu, Indu Sreedevi, Debanjan Bhowmik, Comparing domain wall synapse with other non volatile memory devices for on-chip learning in analog hardware neural network, AIP Advances, 10.1063/1.5128344, 10, 2, (025111), (2020).
- Soheila Nazari, Masoud Amiri, Karim Faez, Marc M. Van Hulle, Information Transmitted From Bioinspired Neuron–Astrocyte Network Improves Cortical Spiking Network’s Pattern Recognition Performance, IEEE Transactions on Neural Networks and Learning Systems, 10.1109/TNNLS.2019.2905003, 31, 2, (464-474), (2020).
- Philippe du Jardin, Forecasting corporate failure using ensemble of self-organizing neural networks, European Journal of Operational Research, 10.1016/j.ejor.2020.06.020, (2020).
- Júlia Chaumel, Merlind Schotte, Joseph J. Bizzarro, Paul Zaslansky, Peter Fratzl, Daniel Baum, Mason N. Dean, Co-aligned chondrocytes: Zonal morphological variation and structured arrangement of cell lacunae in tessellated cartilage, Bone, 10.1016/j.bone.2020.115264, (115264), (2020).
- Zhiguo Long, Hua Meng, Michael Sioutis, Semi-Supervised Dimensionality Reduction by Linear Compression and Stretching, IEEE Access, 10.1109/ACCESS.2020.2971562, 8, (27308-27317), (2020).
- Xiangxiang Xu, Shao-Lun Huang, Maximal Correlation Regression, IEEE Access, 10.1109/ACCESS.2020.2971386, 8, (26591-26601), (2020).
- Shuhei Ohno, Kasidit Toprasertpong, Shinichi Takagi, Mitsuru Takenaka, Si microring resonator crossbar arrays for deep learning accelerator, Japanese Journal of Applied Physics, 10.35848/1347-4065/ab6d82, 59, SG, (SGGE04), (2020).
- J. P. Lees, V. Poireau, V. Tisserand, E. Grauges, A. Palano, G. Eigen, D. N. Brown, Yu. G. Kolomensky, M. Fritsch, H. Koch, T. Schroeder, R. Cheaib, C. Hearty, T. S. Mattison, J. A. McKenna, R. Y. So, V. E. Blinov, A. R. Buzykaev, V. P. Druzhinin, V. B. Golubev, E. A. Kozyrev, E. A. Kravchenko, A. P. Onuchin, S. I. Serednyakov, Yu. I. Skovpen, E. P. Solodov, K. Yu. Todyshev, A. J. Lankford, B. Dey, J. W. Gary, O. Long, A. M. Eisner, W. S. Lockman, W. Panduro Vazquez, D. S. Chao, C. H. Cheng, B. Echenard, K. T. Flood, D. G. Hitlin, J. Kim, Y. Li, T. S. Miyashita, P. Ongmongkolkul, F. C. Porter, M. Röhrken, Z. Huard, B. T. Meadows, B. G. Pushpawela, M. D. Sokoloff, L. Sun, J. G. Smith, S. R. Wagner, D. Bernard, M. Verderi, D. Bettoni, C. Bozzi, R. Calabrese, G. Cibinetto, E. Fioravanti, I. Garzia, E. Luppi, V. Santoro, A. Calcaterra, R. de Sangro, G. Finocchiaro, S. Martellotti, P. Patteri, I. M. Peruzzi, M. Piccolo, M. Rotondo, A. Zallo, S. Passaggio, C. Patrignani, B. J. Shuve, H. M. Lacker, B. Bhuyan, U. Mallik, C. Chen, J. Cochran, S. Prell, A. V. Gritsan, N. Arnaud, M. Davier, F. Le Diberder, A. M. Lutz, G. Wormser, D. J. Lange, D. M. Wright, J. P. Coleman, E. Gabathuler, D. E. Hutchcroft, D. J. Payne, C. Touramanis, A. J. Bevan, F. Di Lodovico, R. Sacco, G. Cowan, Sw. Banerjee, D. N. Brown, C. L. Davis, A. G. Denig, W. Gradl, K. Griessinger, A. Hafner, K. R. Schubert, R. J. Barlow, G. D. Lafferty, R. Cenci, A. Jawahery, D. A. Roberts, R. Cowan, S. H. Robertson, R. M. Seddon, N. Neri, F. Palombo, L. Cremaldi, R. Godang, D. J. Summers, P. Taras, G. De Nardo, C. Sciacca, G. Raven, C. P. Jessop, J. M. LoSecco, K. Honscheid, R. Kass, A. Gaz, M. Margoni, M. Posocco, G. Simi, F. Simonetto, R. Stroili, S. Akar, E. Ben-Haim, M. Bomben, G. R. Bonneaud, G. Calderini, J. Chauveau, G. Marchiori, J. Ocariz, M. Biasini, E. Manoni, A. Rossi, G. Batignani, S. Bettarini, M. Carpinelli, G. Casarosa, M. Chrzaszcz, F. Forti, M. A. Giorgi, A. Lusiani, B. Oberhof, E. Paoloni, M. Rama, G. Rizzo, J. J. Walsh, L. Zani, A. J. S. Smith, F. Anulli, R. Faccini, F. Ferrarotto, F. Ferroni, A. Pilloni, G. Piredda, C. Bünger, S. Dittrich, O. Grünberg, M. Heß, T. Leddig, C. Voß, R. Waldi, T. Adye, F. F. Wilson, S. Emery, G. Vasseur, D. Aston, C. Cartaro, M. R. Convery, J. Dorfan, W. Dunwoodie, M. Ebert, R. C. Field, B. G. Fulsom, M. T. Graham, C. Hast, W. R. Innes, P. Kim, D. W. G. S. Leith, S. Luitz, D. B. MacFarlane, D. R. Muller, H. Neal, B. N. Ratcliff, A. Roodman, M. K. Sullivan, J. Va’vra, W. J. Wisniewski, M. V. Purohit, J. R. Wilson, A. Randle-Conde, S. J. Sekula, H. Ahmed, M. Bellis, P. R. Burchat, E. M. T. Puccio, M. S. Alam, J. A. Ernst, R. Gorodeisky, N. Guttman, D. R. Peimer, A. Soffer, S. M. Spanier, J. L. Ritchie, R. F. Schwitters, J. M. Izen, X. C. Lou, F. Bianchi, F. De Mori, A. Filippi, D. Gamba, L. Lanceri, L. Vitale, F. Martinez-Vidal, A. Oyanguren, J. Albert, A. Beaulieu, F. U. Bernlochner, G. J. King, R. Kowalewski, T. Lueck, I. M. Nugent, J. M. Roney, R. J. Sobie, N. Tasneem, T. J. Gershon, P. F. Harrison, T. E. Latham, R. Prepost, S. L. Wu, Search for Rare or Forbidden Decays of the Meson , Physical Review Letters, 10.1103/PhysRevLett.124.071802, 124, 7, (2020).
- Wolfgang Fenz, Stefan Thumfart, Rika Yatchak, Heinz Roitner, Bernd Hofer, Detection of Arc Faults in PV Systems Using Compressed Sensing, IEEE Journal of Photovoltaics, 10.1109/JPHOTOV.2020.2965397, 10, 2, (676-684), (2020).
- Liwen Huang, Modified Hybrid Discriminant Analysis Methods and Their Applications in Machine Learning, Discrete Dynamics in Nature and Society, 10.1155/2020/1512391, 2020, (1-5), (2020).
- Houssem Sifaou, Abla Kammoun, Mohamed-Slim Alouini, High-Dimensional Quadratic Discriminant Analysis Under Spiked Covariance Model, IEEE Access, 10.1109/ACCESS.2020.3004812, 8, (117313-117323), (2020).
- Kristína Lehocká, Barbora Olšanská, Radovan Kasarda, Ondrej Kadlečík, Anna Trakovická, Nina Moravčíková, The Genetic Structure of Slovak Spotted Cattle Based on Genome-wide Analysis, Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis, 10.11118/actaun202068010057, 68, 1, (57-61), (2020).
- Kunzhe Wang, Haibin Lan, Robust support vector data description for novelty detection with contaminated data, Engineering Applications of Artificial Intelligence, 10.1016/j.engappai.2020.103554, 91, (103554), (2020).
- Chun-Na Li, Yuan-Hai Shao, Wotao Yin, Ming-Zeng Liu, Robust and Sparse Linear Discriminant Analysis via an Alternating Direction Method of Multipliers, IEEE Transactions on Neural Networks and Learning Systems, 10.1109/TNNLS.2019.2910991, 31, 3, (915-926), (2020).
- Guillaume Lassalle, Sophie Fabre, Anthony Credoz, Dominique Dubucq, Arnaud Elger, Monitoring oil contamination in vegetated areas with optical remote sensing: A comprehensive review, Journal of Hazardous Materials, 10.1016/j.jhazmat.2020.122427, 393, (122427), (2020).
- Alexandre Borrel, Ruili Huang, Srilatha Sakamuru, Menghang Xia, Anton Simeonov, Kamel Mansouri, Keith A. Houck, Richard S. Judson, Nicole C. Kleinstreuer, High-Throughput Screening to Predict Chemical-Assay Interference, Scientific Reports, 10.1038/s41598-020-60747-3, 10, 1, (2020).
- Troy Vargason, Genevieve Grivas, Kathryn L. Hollowood-Jones, Juergen Hahn, Towards a Multivariate Biomarker-based Diagnosis of Autism Spectrum Disorder: Review and Discussion of Recent Advancements, Seminars in Pediatric Neurology, 10.1016/j.spen.2020.100803, (100803), (2020).
- Bester Tawona Mudereri, Timothy Dube, Saliou Niassy, Emily Kimathi, Tobias Landmann, Zeyaur Khan, Elfatih M. Abdel-Rahman, Is it possible to discern Striga weed (Striga hermonthica) infestation levels in maize agro-ecological systems using in-situ spectroscopy?, International Journal of Applied Earth Observation and Geoinformation, 10.1016/j.jag.2019.102008, 85, (102008), (2020).
- Cameron Condylis, Eric Lowet, Jianguang Ni, Karina Bistrong, Timothy Ouellette, Nathaniel Josephs, Jerry L. Chen, Context-Dependent Sensory Processing across Primary and Secondary Somatosensory Cortex, Neuron, 10.1016/j.neuron.2020.02.004, (2020).
- Anna Sergeevna Bosman, Andries Engelbrecht, Mardé Helbig, Visualising Basins of Attraction for the Cross-Entropy and the Squared Error Neural Network Loss Functions, Neurocomputing, 10.1016/j.neucom.2020.02.113, (2020).
- Feng Zheng, Quanyun Liu, Anomalous Telecom Customer Behavior Detection and Clustering Analysis Based on ISP’s Operating Data, IEEE Access, 10.1109/ACCESS.2020.2976898, 8, (42734-42748), (2020).
- Fang Hu, Yanhui Zhu, Jia Liu, Liuhuan Li, An efficient Long Short-Term Memory model based on Laplacian Eigenmap in artificial neural networks, Applied Soft Computing, 10.1016/j.asoc.2020.106218, (106218), (2020).
- Pablo V.C. Lima, Rodrigo de M.S. Veras, Luis H.S. Vogado, Helano M.B.F. Portela, João D.S. de Almeida, Kelson R.T. Aires, Daniel Leite, A semiautomatic segmentation approach to corneal lesions, Computers & Electrical Engineering, 10.1016/j.compeleceng.2020.106625, 84, (106625), (2020).
- Ping Wang, Fenlin Liu, Chunfang Yang, Thresholding binary coding for image forensics of weak sharpening, Signal Processing: Image Communication, 10.1016/j.image.2020.115956, 88, (115956), (2020).
- Lucia Maddalena, Marco Gori, Sankar K. Pal, Pattern recognition and beyond: Alfredo Petrosino’s scientific results, Pattern Recognition Letters, 10.1016/j.patrec.2020.07.032, (2020).
- Pakize Erdogmus, Fatih Kayaalp, Introductory Chapter: Clustering with Nature-Inspired Optimization Algorithms, Introduction to Data Science and Machine Learning, 10.5772/intechopen.77469, (2020).
- Serhiy Semerikov, Illia Teplytskyi, Yuliia Yechkalo, Oksana Markova, Vladimir Soloviev, Arnold Kiv, Using spreadsheets as learning tools for computer simulation of neural networks, SHS Web of Conferences, 10.1051/shsconf/20207504018, 75, (04018), (2020).
- Carlo Canali, Alessandro Pistone, Claudio Gloriani, Paolo Guardiani, Daniele Ludovico, Darwin G. Caldwell, undefined, 2020 IEEE 24th International Conference on Intelligent Engineering Systems (INES), 10.1109/INES49302.2020.9147186, (61-66), (2020).
- Emilia Oikarinen, Kai Puolamäki, Samaneh Khoshrou, Mykola Pechenizkiy, Supervised Human-Guided Data Exploration, Machine Learning and Knowledge Discovery in Databases, 10.1007/978-3-030-43823-4_8, (85-101), (2020).
- Kathleen E. Hamilton, Catherine D. Schuman, Steven R. Young, Ryan S. Bennink, Neena Imam, Travis S. Humble, Accelerating Scientific Computing in the Post-Moore’s Era, ACM Transactions on Parallel Computing, 10.1145/3380940, 7, 1, (1-31), (2020).
- Chemometric processing of spectroscopic data, Vibrational Spectroscopy Applications in Biomedical, Pharmaceutical and Food Sciences, 10.1016/B978-0-12-818827-9.09992-3, (227-247), (2020).
- Haitao Zhao, Zhihui Lai, Henry Leung, Xianyi Zhang, Haitao Zhao, Zhihui Lai, Henry Leung, Xianyi Zhang, Linear Discriminant Analysis, Feature Learning and Understanding, 10.1007/978-3-030-40794-0_5, (71-85), (2020).
- N. Agafonova, A. Aleksandrov, A. Anokhina, S. Aoki, A. Ariga, T. Ariga, A. Bertolin, C. Bozza, R. Brugnera, A. Buonaura, S. Buontempo, M. Chernyavskiy, A. Chukanov, L. Consiglio, N. D’Ambrosio, G. De Lellis, M. De Serio, P. del Amo Sanchez, A. Di Crescenzo, D. Di Ferdinando, N. Di Marco, S. Dmitrievski, M. Dracos, D. Duchesneau, S. Dusini, T. Dzhatdoev, J. Ebert, A. Ereditato, R. A. Fini, F. Fornari, T. Fukuda, G. Galati, A. Garfagnini, V. Gentile, J. Goldberg, S. Gorbunov, Y. Gornushkin, G. Grella, A. M. Guler, C. Gustavino, C. Hagner, T. Hara, T. Hayakawa, A. Hollnagel, K. Ishiguro, A. Iuliano, K. Jakovcic, C. Jollet, C. Kamiscioglu, M. Kamiscioglu, S. H. Kim, N. Kitagawa, B. Klicek, K. Kodama, M. Komatsu, U. Kose, I. Kreslo, F. Laudisio, A. Lauria, A. Longhin, P. Loverre, A. Malgin, M. Malenica, G. Mandrioli, T. Matsuo, V. Matveev, N. Mauri, E. Medinaceli, A. Meregaglia, S. Mikado, M. Miyanishi, F. Mizutani, P. Monacelli, M. C. Montesi, K. Morishima, M. T. Muciaccia, N. Naganawa, T. Naka, M. Nakamura, T. Nakano, K. Niwa, N. Okateva, S. Ogawa, K. Ozaki, A. Paoloni, L. Paparella, B. D. Park, L. Pasqualini, A. Pastore, L. Patrizii, H. Pessard, D. Podgrudkov, N. Polukhina, M. Pozzato, F. Pupilli, M. Roda, T. Roganova, H. Rokujo, G. Rosa, O. Ryazhskaya, O. Sato, A. Schembri, I. Shakirianova, T. Shchedrina, H. Shibuya, E. Shibayama, T. Shiraishi, S. Simone, C. Sirignano, G. Sirri, A. Sotnikov, M. Spinetti, L. Stanco, N. Starkov, S. M. Stellacci, M. Stipcevic, P. Strolin, S. Takahashi, M. Tenti, F. Terranova, V. Tioukov, S. Vasina, P. Vilain, E. Voevodina, L. Votano, J. L. Vuilleumier, G. Wilquet, C. S. Yoon, First observation of a tau neutrino charged current interaction with charm production in the OPERA experiment, The European Physical Journal C, 10.1140/epjc/s10052-020-8160-y, 80, 8, (2020).
- Naseem Ali, Bianca Viggiano, Murat Tutkun, Raúl Bayoán Cal, Cluster-Based Reduced-Order Descriptions of Two Phase Flows, Chemical Engineering Science, 10.1016/j.ces.2020.115660, (115660), (2020).
- Konstantin Muzalevskiy, Zdenek Ruzicka, Detection of soil freeze/thaw states in the Arctic region based on combined SMAP and AMSR-2 radio brightness observations, International Journal of Remote Sensing, 10.1080/01431161.2020.1724348, 41, 14, (5046-5061), (2020).
- Ashish Kumar Bhandari, Immadisetty Vinod Kumar, Kankanala Srinivas, Cuttlefish Algorithm-Based Multilevel 3-D Otsu Function for Color Image Segmentation, IEEE Transactions on Instrumentation and Measurement, 10.1109/TIM.2019.2922516, 69, 5, (1871-1880), (2020).
- Patryk Orzechowski, Franciszek Magiera, Jason H. Moore, Benchmarking Manifold Learning Methods on a Large Collection of Datasets, Genetic Programming, 10.1007/978-3-030-44094-7_9, (135-150), (2020).
- Yusuke Akamatsu, Ryosuke Harakawa, Takahiro Ogawa, Miki Haseyama, undefined, ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 10.1109/ICASSP40776.2020.9053022, (1215-1219), (2020).
- Ran Liu, Mulin Chen, Qi Wang, Xuelong Li, undefined, ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 10.1109/ICASSP40776.2020.9054480, (4217-4221), (2020).
- Daniel Traian Pele, Niels Wesselhöfft, Wolfgang K. Härdle, Michalis Kolossiatis, Yannis Yatracos, A Statistical Classification of Cryptocurrencies, SSRN Electronic Journal, 10.2139/ssrn.3548462, (2020).
- Weijian Zhang, Peng Song, Transfer Sparse Discriminant Subspace Learning for Cross-Corpus Speech Emotion Recognition, IEEE/ACM Transactions on Audio, Speech, and Language Processing, 10.1109/TASLP.2019.2955252, 28, (307-318), (2020).
- Bhisham C. Gupta, Irwin Guttman, Kalanka P. Jayalath, Bibliography, Statistics and Probability with Applications for Engineers and Scientists using MINITAB, R and JMP, 10.1002/9781119516651, (992-1001), (2020).
- Lucas C. Ribas, Jarbas Joaci de Mesquita Sá Junior, Leonardo Scabini, Odemir M. Bruno, Fusion of complex networks and randomized neural networks for texture analysis, Pattern Recognition, 10.1016/j.patcog.2019.107189, (107189), (2020).
- Neeru Rathee, Sudesh Pahal, Investigation of Facial Expressions for Physiological Parameter Measurement, Advances in Computing and Intelligent Systems, 10.1007/978-981-15-0222-4_26, (297-302), (2020).
- Shizhan Lu, Longsheng Cheng, Rashid Mehmood, Clustering by Using the Way of Atomic Fission, IEEE Access, 10.1109/ACCESS.2020.2987345, 8, (70997-71007), (2020).
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