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Neurocomputing, ISSN 0925-2312, 05/2019, Volume 342, pp. 1 - 5
Journal Article
Neural computation, ISSN 0899-7667, 03/2012, Volume 24, Issue 3, pp. 771 - 804
In recent years, a wealth of dimension-reduction techniques for data visualization and preprocessing has been established. Nonparametric methods require... 
REDUCTION | MAPS | NEUROSCIENCES | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | Visualization | Prototypes | Mapping | Indexing in process
Journal Article
by Aghaeepour, Nima and Finak, Greg and Hoos, Holger and Mosmann, Tim R and Brinkman, Ryan and Gottardo, Raphael and Scheuermann, Richard H and Dougall, David and Khodabakhshi, Alireza Hadj and Mah, Phillip and Obermoser, Gerlinde and Spidlen, Josef and Taylor, Ian and Wuensch, Sherry A and Bramson, Jonathan and Eaves, Connie and Weng, Andrew P and Fortuno III, Edgardo S and Ho, Kevin and Kollmann, Tobias R and Rogers, Wade and De Rosa, Stephen and Dalai, Bakul and Azad, Ariful and Pothen, Alex and Brandes, Aaron and Bretschneider, Hannes and Bruggner, Robert and Finck, Rachel and Jia, Robin and Zimmerman, Noah and Linderman, Michael and Dill, David and Nolan, Gary and Chan, Cliburn and Khettabi, Faysal El and O'Neill, Kieran and Chikina, Maria and Ge, Yongchao and Sealfon, Stuart and Sugár, István and Gupta, Arvind and Shooshtari, Parisa and Zare, Habil and De Jager, Philip L and Jiang, Mike and Keilwagen, Jens and Maisog, Jose M and Luta, George and Barbo, Andrea A and Májek, Peter and Vilček, Jozef and Manninen, Tapio and Huttunen, Heikki and Ruusuvuori, Pekka and Nykter, Matti and McLachlan, Geoffrey J and Wang, Kui and Naim, Iftekhar and Sharma, Gaurav and Nikolic, Radina and Pyne, Saumyadipta and Qian, Yu and Qiu, Peng and Quinn, John and Roth, Andrew and Meyer, Pablo and Stolovitzky, Gustavo and Saez-Rodriguez, Julio and Norel, Raquel and Bhattacharjee, Madhuchhanda and Biehl, Michael and Bucher, Philipp and Bunte, Kerstin and Di Camillo, Barbara and Sambo, Francesco and Sanavia, Tiziana and Trifoglio, Emanuele and Toffolo, Gianna and Slavica Dimitrieva, S.D and Dreos, Rene and Ambrosini, Giovanna and Grau, Jan and Grosse, Ivo and Posch, Stefan and Guex, Nicolas and Kursa, Miron and Rudnicki, Witold and Liu, Bo and Maienschein-Cline, Mark and Schneider, Petra and Seifert, Michael and Strickert, Marc and Vilar, Jose M. G and DREAM Consortium and FlowCAP Consortium and The FlowCAP Consortium and The DREAM Consortium
Nature Methods, ISSN 1548-7091, 03/2013, Volume 10, Issue 3, pp. 228 - 238
Journal Article
by Sieberts, Solveig K and Zhu, Fan and García-García, Javier and Stahl, Eli and Pratap, Abhishek and Pandey, Gaurav and Pappas, Dimitrios and Aguilar, Daniel and Anton, Bernat and Bonet, Jaume and Eksi, Ridvan and Fornés, Oriol and Guney, Emre and Li, Hongdong and Marín, Manuel Alejano and Panwar, Bharat and Planas-Iglesias, Joan and Poglayen, Daniel and Cui, Jing and Falcao, Ane O and Suver, Christine and Hoff, Bruce and Balagurusamy, Venkat S. K and Dillenberger, Donna and Neto, Elias Chaibub and Norman, Thea and Aittokallio, Tero and Ammad-Ud-Din, Muhammad and Azencott, Chloe-Agathe and Bellón, Víctor and Boeva, Valentina and Bunte, Kerstin and Chheda, Himanshu and Cheng, Lu and Corander, Jukka and Dumontier, Michel and Goldenberg, Anna and Gopalacharyulu, Peddinti and Hajiloo, Mohsen and Hiu, Daniel and Jaiswal, Alok and Kaski, Samuel and Khalfaoui, Beyrem and Khan, Suleiman Ali and Kramer, Eric R and Marttinen, Pekka and Mezlini, Aziz M and Molparia, Bhuvan and Pirinen, Matti and Saarela, Janna and Samwald, Matthias and Stoven, Véronique and Tang, Hao and Tang, Jing and Torkamani, Ali and Vert, Jean-Phillipe and Wang, Bo and Wang, Tao and Wennerberg, Krister and Wineinger, Nathan E and Xiao, Guanghua and Xie, Yang and Yeung, Rae and Zhan, Xiaowei and Zhao, Cheng and Greenberg, Jeff and Kremer, Joel and Michaud, Kaleb and Barton, Anne and Coenen, Marieke and Mariette, Xavier and Miceli, Corinne and Shadick, Nancy and Weinblatt, Michael and de Vries, Niek and Tak, Paul P and Gerlag, Danielle and Huizinga, Tom W. J and Kurreeman, Fina and Allaart, Cornelia F and Louis Bridges, S and Criswell, Lindsey and Moreland, Larry and Klareskog, Lars and Saevarsdottir, Saedis and Padyukov, Leonid and Gregersen, Peter K and Friend, Stephen and Plenge, Robert and Stolovitzky, Gustavo and Oliva, Baldo and Guan, Yuanfang and Mangravite, Lara M and Bridges, S. Louis and Calaza, Manuel and Elmarakeby, Haitham and Heath, Lenwood S and Long, Quan and Moore, Jonathan D and Opiyo, Stephen Obol and ... and Rheumatoid Arth Challenge and Members of the Rheumatoid Arthritis Challenge Consortium
Nature communications, ISSN 2041-1723, 2016, Volume 7, Issue 1, p. 12460
Journal Article
Bioinformatics, ISSN 1367-4803, 2016, Volume 32, Issue 16, pp. 2457 - 2463
Journal Article
Pattern Recognition, ISSN 0031-3203, 2011, Volume 44, Issue 9, pp. 1892 - 1902
We investigate the extraction of effective color features for a content-based image retrieval (CBIR) application in dermatology. Effectiveness is measured by... 
Content based image retrieval | Adaptive distance measures | Learning vector quantization | Machine learning | DIAGNOSIS | ALGORITHM | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | ENGINEERING, ELECTRICAL & ELECTRONIC
Journal Article
Neurocomputing, ISSN 0925-2312, 08/2012, Volume 90, pp. 23 - 45
We present a systematic approach to the mathematical treatment of the t-distributed stochastic neighbor embedding (t-SNE) and the stochastic neighbor embedding... 
Stochastic neighbor embedding | Dimension reduction | Visualization | Divergence optimization | Nonlinear embedding | ROBUST | INFORMATION | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | Data points | Embedded systems | Divergence | Similarity | Mathematical analysis | Stochasticity | Adaptation
Journal Article
Neural Networks, ISSN 0893-6080, 2012, Volume 26, pp. 159 - 173
We present an extension of the recently introduced Generalized Matrix Learning Vector Quantization algorithm. In the original scheme, adaptive square matrices... 
Visualization | Dimension reduction | Learning Vector Quantization | Adaptive metrics | Classification | MAPS | GENERALIZATION ABILITY | PROJECTION PURSUIT | NEUROSCIENCES | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | Learning | Algorithms | Pattern Recognition, Automated | Artificial Intelligence | Humans | Discriminant Analysis
Journal Article
by Sieberts, Solveig K and Zhu, Fan and García-García, Javier and Stahl, Eli and Pratap, Abhishek and Pandey, Gaurav and Pappas, Dimitrios and Aguilar, Daniel and Anton, Bernat and Bonet, Jaume and Eksi, Ridvan and Fornés, Oriol and Guney, Emre and Li, Hongdong and Marín, Manuel Alejandro and Panwar, Bharat and Planas-Iglesias, Joan and Poglayen, Daniel and Cui, Jing and Falcao, Andre O and Suver, Christine and Hoff, Bruce and Balagurusamy, Venkat S K and Dillenberger, Donna and Neto, Elias Chaibub and Norman, Thea and Aittokallio, Tero and Ammad-Ud-Din, Muhammad and Azencott, Chloe-Agathe and Bellón, Víctor and Boeva, Valentina and Bunte, Kerstin and Chheda, Himanshu and Cheng, Lu and Corander, Jukka and Dumontier, Michel and Goldenberg, Anna and Gopalacharyulu, Peddinti and Hajiloo, Mohsen and Hidru, Daniel and Jaiswal, Alok and Kaski, Samuel and Khalfaoui, Beyrem and Khan, Suleiman Ali and Kramer, Eric R and Marttinen, Pekka and Mezlini, Aziz M and Molparia, Bhuvan and Pirinen, Matti and Saarela, Janna and Samwald, Matthias and Stoven, Véronique and Tang, Hao and Tang, Jing and Torkamani, Ali and Vert, Jean-Phillipe and Wang, Bo and Wang, Tao and Wennerberg, Krister and Wineinger, Nathan E and Xiao, Guanghua and Xie, Yang and Yeung, Rae and Zhan, Xiaowei and Zhao, Cheng and Greenberg, Jeff and Kremer, Joel and Michaud, Kaleb and Barton, Anne and Coenen, Marieke and Mariette, Xavier and Miceli, Corinne and Shadick, Nancy and Weinblatt, Michael and de Vries, Niek and Tak, Paul P and Gerlag, Danielle and Huizinga, Tom W J and Kurreeman, Fina and Allaart, Cornelia F and Bridges, Jr, S Louis and Criswell, Lindsey and Moreland, Larry and Klareskog, Lars and Saevarsdottir, Saedis and Padyukov, Leonid and Gregersen, Peter K and Friend, Stephen and Plenge, Robert and Stolovitzky, Gustavo and Oliva, Baldo and Guan, Yuanfang and Mangravite, Lara M and Members of the Rheumatoid Arthritis Challenge Consortium
Nature communications, ISSN 2041-1723, 10/2016, Volume 7, Issue 1, pp. 13205 - 13205
Journal Article
Journal of Mathematical Imaging and Vision, ISSN 0924-9907, 2014, Volume 48, Issue 1, p. 202
Journal Article
Neurocomputing, ISSN 0925-2312, 2010, Volume 73, Issue 7, pp. 1074 - 1092
Due to the tremendous increase of electronic information with respect to the size of data sets as well as their dimension, dimension reduction and... 
Dimension reduction | Visualization | Learning vector quantization | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | Data mining | Distance education
Journal Article
Neurocomputing, ISSN 0925-2312, 2011, Volume 74, Issue 9, pp. 1340 - 1350
We present an extension of the Exploratory Observation Machine (XOM) for structure-preserving dimensionality reduction. Based on minimizing the... 
Stochastic neighbor embedding | Dimension reduction | Visualization | Divergence optimization | Nonlinear embedding | Exploratory Observation Machine | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Journal Article