Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Navruzyan, Arshak"'
Autor:
Kocherzhenko, Aleksey A., Kartha, Nirmal Sobha, Li, Tengfei, Hsin-Yi, Shih, Mandic, Marco, Fuller, Mike, Navruzyan, Arshak
Personalization enables businesses to learn customer preferences from past interactions and thus to target individual customers with more relevant content. We consider the problem of predicting the optimal promotional offer for a given customer out o
Externí odkaz:
http://arxiv.org/abs/2202.00146
Autor:
Borundiya, Amit, Navruzyan, Arshak, Igoschev, Dennis, Oughali, Feras C., Pasupuleti, Hemanth, Fuller, Mike, Kanigicherla, Vinay, Kashyap, T S Aniruddha, Chaurasia, Rishabh, Jain, Sonali Vinod
Ultrasound (US) imaging is highly effective with regards to both cost and versatility in real-time diagnosis; however, determination of fetal gender by US scan in the early stages of pregnancy is also a cause of sex-selective abortion. This work prop
Externí odkaz:
http://arxiv.org/abs/2109.06790
Autor:
Miikkulainen, Risto, Liang, Jason, Meyerson, Elliot, Rawal, Aditya, Fink, Dan, Francon, Olivier, Raju, Bala, Shahrzad, Hormoz, Navruzyan, Arshak, Duffy, Nigel, Hodjat, Babak
The success of deep learning depends on finding an architecture to fit the task. As deep learning has scaled up to more challenging tasks, the architectures have become difficult to design by hand. This paper proposes an automated method, CoDeepNEAT,
Externí odkaz:
http://arxiv.org/abs/1703.00548
Autor:
Miikkulainen, Risto, Liang, Jason, Meyerson, Elliot, Rawal, Aditya, Fink, Dan, Francon, Olivier, Raju, Bala, Shahrzad, Hormoz, Navruzyan, Arshak, Duffy, Nigel, Hodjat, Babak
Publikováno v:
In Artificial Intelligence in the Age of Neural Networks and Brain Computing Edition: Second Edition. 2024:269-287
Autor:
Alippi, Cesare, Brown, David G., Campolo, Maurizio, Choe, Yoonsuck, Duffy, Nigel, Érdi, Péter, Fink, Dan, Francon, Olivier, Galdi, Paola, Gonzalez, Santiago, Gori, Marco, Grossberg, Stephen, Hodjat, Babak, Ieracitano, Cosimo, Kant, Mohak, Kasabov, Nikola Kirilov, Kim, Youngsik, Kozma, Robert, Levine, Daniel S., Li, Qinbo, Liang, Jason, Maggini, Marco, Mammone, Nadia, Meyerson, Elliot, Miikkulainen, Risto, Morabito, Francesco Carlo, Navruzyan, Arshak, Ormandy, Roman, Ozawa, Seiichi, Park, Dookun, Perin, Jose Krause, Raju, Bala, Rawal, Aditya, Samuelson, Frank W., Serra, Angela, Shahrzad, Hormoz, Tagliaferri, Roberto, Tiezzi, Matteo, Werbos, Paul J., Widrow, Bernard
Publikováno v:
In Artificial Intelligence in the Age of Neural Networks and Brain Computing Edition: Second Edition. 2024:xiii-xv
Autor:
Miikkulainen, Risto, Liang, Jason, Meyerson, Elliot, Rawal, Aditya, Fink, Daniel, Francon, Olivier, Raju, Bala, Shahrzad, Hormoz, Navruzyan, Arshak, Duffy, Nigel, Hodjat, Babak
Publikováno v:
In Artificial Intelligence in the Age of Neural Networks and Brain Computing 2019:293-312
Autor:
Alippi, Cesare, Brown, David G., Campolo, Maurizio, Choe, Yoonsuck, Duffy, Nigel, Érdi, Péter, Fink, Daniel, Francon, Olivier, Galdi, Paola, Grossberg, Stephen, Hodjat, Babak, Ieracitano, Cosimo, Kasabov, Nikola, Kim, Youngsik, Kozma, Robert, Levine, Daniel S., Liang, Jason, Mammone, Nadia, Meyerson, Elliot, Miikkulainen, Risto, Morabito, Francesco Carlo, Navruzyan, Arshak, Ormandy, Roman, Ozawa, Seiichi, Park, Dookun, Perin, Jose Krause, Raju, Bala, Rawal, Aditya, Samuelson, Frank W., Serra, Angela, Shahrzad, Hormoz, Szu, Harold, Tagliaferri, Roberto, The Al Working Group, Werbos, Paul J., Widrow, Bernard
Publikováno v:
In Artificial Intelligence in the Age of Neural Networks and Brain Computing 2019:xv-xvii