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Publication search results
found 135 matches
- 2024
- Francisco M. Castro-Macías, Pablo Morales-Álvarez, Yunan Wu, Rafael Molina, Aggelos K. Katsaggelos:
Hyperbolic Secant representation of the logistic function: Application to probabilistic Multiple Instance Learning for CT intracranial hemorrhage detection. Artif. Intell. 331: 104115 (2024) - Molin Liu, Jun Lv, Shichang Du, Yafei Deng, Xiaoxiao Shen, Yulu Zhou:
Multi-resource constrained flexible job shop scheduling problem with fixture-pallet combinatorial optimisation. Comput. Ind. Eng. 188: 109903 (2024) - Haiyan Li, Zhixin Wang, Zheng Guan, Jiarong Miao, Weihua Li, Pengfei Yu, Carlos Molina-Jiménez:
UCFN Net: Ulcerative colitis evaluation based on fine-grained lesion learner and noise suppression gating. Comput. Methods Programs Biomed. 247: 108080 (2024) - Jose Pérez-Cano, Yunan Wu, Arne Schmidt, Miguel López-Pérez, Pablo Morales-Álvarez, Rafael Molina, Aggelos K. Katsaggelos:
An end-to-end approach to combine attention feature extraction and Gaussian Process models for deep multiple instance learning in CT hemorrhage detection. Expert Syst. Appl. 240: 122296 (2024) - Carole H. Sudre, Kimberlin M. H. van Wijnen, Florian Dubost, Hieab Adams, David Atkinson, Frederik Barkhof, Mahlet A. Birhanu, Esther E. Bron, Robin Camarasa, Nish Chaturvedi, Yuan Chen, Zihao Chen, Shuai Chen, Qi Dou, Tavia E. Evans, Ivan Ezhov, Haojun Gao, Marta Gironés-Sangüesa, Juan Domingo Gispert, Beatriz Gomez Anson, Alun D. Hughes, Mohammad Arfan Ikram, Silvia Ingala, Hans Rolf Jäger, Florian Kofler, Hugo J. Kuijf, Denis Kutnar, Minho Lee, Bo Li, Luigi Lorenzini, Bjoern H. Menze, José Luis Molinuevo, Yiwei Pan, Élodie Puybareau, Rafael Rehwald, Ruisheng Su, Pengcheng Shi, Lorna Smith, Therese Tillin, Guillaume Tochon, Hélène Urien, Bas H. M. van der Velden, Isabelle F. van der Velpen, Benedikt Wiestler, Frank J. Wolters, Pinar Yilmaz, Marius de Groot, Meike W. Vernooij, Marleen de Bruijne:
Where is VALDO? VAscular Lesions Detection and segmentatiOn challenge at MICCAI 2021. Medical Image Anal. 91: 103029 (2024) - Diego Tola, Frédéric Satgé, Ramiro Pillco Zolá, Humberto Sainz, Bruno Condori, Roberto Miranda, Elizabeth Yujra, Jorge Molina-Carpio, Renaud Hostache, Raúl Espinoza-Villar:
Soil Salinity Mapping of Plowed Agriculture Lands Combining Radar Sentinel-1 and Optical Sentinel-2 with Topographic Data in Machine Learning Models. Remote. Sens. 16(18): 3456 (2024) - Jun Li, Chengjie Hu, Qinghong Sheng, Bo Wang, Xiao Ling, Fan Gao, Yunfei Xu, Zhiwei Li, Matthieu Molinier:
A Unified Cloud Detection Method for Suomi-NPP VIIRS Day and Night PAN Imagery. IEEE Trans. Geosci. Remote. Sens. 62: 1-13 (2024) - Junwei Zhou, Duowen Chen, Molin Deng, Yitong Deng, Yuchen Sun, Sinan Wang, Shiying Xiong, Bo Zhu:
Eulerian-Lagrangian Fluid Simulation on Particle Flow Maps. ACM Trans. Graph. 43(4): 76:1-76:20 (2024) - Bowen Zeng, Chaozheng Wang, Chunjiong Zhang, Elena Molino-Peña, Jindong Feng, Lei Gan, Shuzheng Gao, Tao Shi, Xin-Cheng Wen, Yishan Chen, Yuanchao Liu, Yujia Chen, Zhuofeng Zhao, Zhangbing Zhou, Yucong Duan, Shizhan Chen, Guobing Zou, Buqing Cao:
Reviewers. SSE 2024: xxi - Yusdivia Molina, Jorge G. Iglesias, Luis Montesinos:
A data-driven approach on COVID-19 restrictions and its effectiveness in Latin America. CBMS 2024: 176-181 - Wenqian Zhang, Molin Huang, Yuxuan Zhou, Juze Zhang, Jingyi Yu, Jingya Wang, Lan Xu:
BOTH2Hands: Inferring 3D Hands from Both Text Prompts and Body Dynamics. CVPR 2024: 2393-2404 - Àgata Lapedriza, Jordi Albó-Canals, Neska El Haouij, Jinmo Lee, Javier Hernandez, Judith Amores, Kyung Yun Choi, Carmen Jerez Molina, Laura Lahuerta, Nuria Gonzalez, Maria V. Fernandez, Marta Ayats Soler, Sofia Ferreira Quartino, Ariadna Ballesteros, Rosalind W. Picard:
Deploying a Robotic ride-on Car in the Hospital to Reduce the Stress of Pediatric Patients before Surgery. HRI (Companion) 2024: 650-654 - Pavel Cheben, Jens H. Schmid, J. Zhang, M. Saad Bin-Alam, A. F. Hinestrosa, W. Fraser, R. Korcek, Jose M. Luque-González, Carlos Pérez-Armenta, Alejandro Sánchez-Postigo, Alejandro Ortega-Moñux, J. Gonzalo Wangüemert-Pérez, Íñigo Molina-Fernández, Robert Halir, Pablo Ginel-Moreno, Daniel Benedikovic, Milan Dado, Shahrzad Khajavi, Winnie N. Ye, Z. Mokeddem, Daniele Melati, Carlos Alonso-Ramos, David González-Andrade, Laurent Vivien, D. Sirmaci, I. Staude, Dan-Xia Xu, Yuri Grinberg, Siegfried Janz, S. Wang, Martin Vachon, Ross Cheriton, R. Fernández de Cabo, Aitor V. Velasco, C. Naraine, J. Bradley, A. Knights:
Recent advances in metamaterial silicon photonic devices and Huygens' metawaveguides. ICTON 2024: 1 - Yusdivia Molina, Juan Vladimir Padilla López, Héctor Manuel Cárdenas Castro, Miguel González-Mendoza:
Predicting and Classifying Contaminants in Mexican Water Bodies: A Machine Learning Approach. MICAI (1) 2024: 40-53 - Francisco M. Castro-Macías, Pablo Morales-Álvarez, Yunan Wu, Rafael Molina, Aggelos K. Katsaggelos:
Hyperbolic Secant representation of the logistic function: Application to probabilistic Multiple Instance Learning for CT intracranial hemorrhage detection. CoRR abs/2403.14829 (2024) - Junwei Zhou, Duowen Chen, Molin Deng, Yitong Deng, Yuchen Sun, Sinan Wang, Shiying Xiong, Bo Zhu:
Eulerian-Lagrangian Fluid Simulation on Particle Flow Maps. CoRR abs/2405.09672 (2024) - Talia Gershon, Seetharami Seelam, Brian Belgodere, Milton Bonilla, Lan Hoang, Danny Barnett, I-Hsin Chung, Apoorve Mohan, Ming-Hung Chen, Lixiang Luo, Robert Walkup, Constantinos Evangelinos, Shweta Salaria, Marc Dombrowa, Yoonho Park, Apo Kayi, Liran Schour, Alim Alim, Ali Sydney, Pavlos Maniotis, Laurent Schares, Bernard Metzler, Bengi Karacali-Akyamac, Sophia Wen, Tatsuhiro Chiba, Sunyanan Choochotkaew, Takeshi Yoshimura, Claudia Misale, Tonia Elengikal, Kevin O. Connor, Zhuoran Liu, Richard Molina, Lars Schneidenbach, James Caden, Christopher Laibinis, Carlos Fonseca, Vasily Tarasov, Swaminathan Sundararaman, Frank B. Schmuck, Scott Guthridge, Jeremy Cohn, Marc Eshel, Paul Muench, Runyu Liu, William Pointer, Drew Wyskida, Bob Krull, Ray Rose, Brent Wolfe, William Cornejo, John Walter, Colm Malone, Clifford Perucci, Frank Franco, Nigel Hinds, Bob Calio, Pavel Druyan, Robert Kilduff, John Kienle, Connor McStay, Andrew Figueroa, Matthew Connolly, Edie Fost, Gina Roma, Jake Fonseca, Ido Levy, Michele Payne, Ryan Schenkel, Amir Malki, Lion Schneider, Aniruddha Narkhede, Shekeba Moshref, Alexandra Kisin, Olga Dodin, Bill Rippon, Henry Wrieth, John Ganci, Johnny Colino, Donna Habeger-Rose, Rakesh Pandey, Aditya Gidh, Aditya Gaur, Dennis Patterson, Samsuddin Salmani, Rambilas Varma, Rumana Rumana, Shubham Sharma, Mayank Mishra, Rameswar Panda, Aditya Prasad, Matt Stallone, Gaoyuan Zhang, Yikang Shen, David Cox, Ruchir Puri, Dakshi Agrawal, Drew Thorstensen, Joel Belog, Brent Tang:
The infrastructure powering IBM's Gen AI model development. CoRR abs/2407.05467 (2024) - Guillermo Bernárdez, Lev Telyatnikov, Marco Montagna, Federica Baccini, Mathilde Papillon, Miquel Ferriol Galmés, Mustafa Hajij, Theodore Papamarkou, Maria Sofia Bucarelli, Olga Zaghen, Johan Mathe, Audun Myers, Scott Mahan, Hansen Lillemark, Sharvaree P. Vadgama, Erik J. Bekkers, Tim Doster, Tegan Emerson, Henry Kvinge, Katrina Agate, Nesreen K. Ahmed, Pengfei Bai, Michael Banf, Claudio Battiloro, Maxim Beketov, Paul Bogdan, Martin Carrasco, Andrea Cavallo, Yun Young Choi, George Dasoulas, Matous Elphick, Giordan Escalona, Dominik Filipiak, Halley Fritze, Thomas Gebhart, Manel Gil-Sorribes, Salvish Goomanee, Victor Guallar, Liliya Imasheva, Andrei Irimia, Hongwei Jin, Graham Johnson, Nikos Kanakaris, Boshko Koloski, Veljko Kovac, Manuel Lecha, Minho Lee, Pierrick Leroy, Theodore Long, German Magai, Alvaro Martinez, Marissa Masden, Sebastian Meznar, Bertran Miquel-Oliver, Alexis Molina, Alexander Nikitin, Marco Nurisso, Matt Piekenbrock, Yu Qin, Patryk Rygiel, Alessandro Salatiello, Max Schattauer, Pavel Snopov, Julian Suk, Valentina Sánchez, Mauricio Tec, Francesco Vaccarino, Jonas Verhellen, Frédéric Wantiez, Alexander Weers, Patrik Zajec, Blaz Skrlj, Nina Miolane:
ICML Topological Deep Learning Challenge 2024: Beyond the Graph Domain. CoRR abs/2409.05211 (2024) - Sinan Wang, Yitong Deng, Molin Deng, Hong-Xing Yu, Junwei Zhou, Duowen Chen, Taku Komura, Jiajun Wu, Bo Zhu:
An Eulerian Vortex Method on Flow Maps. CoRR abs/2409.06201 (2024) - 2023
- Yu Tian, Bin Dan, Molin Liu, Ting Lei, Songxuan Ma:
Strategic introduction for competitive fresh produce in an e-commerce platform with demand information sharing. Electron. Commer. Res. 23(4): 2907-2941 (2023) - Bin Dan, Yu Tian, Xumei Zhang, Molin Liu, Songxuan Ma:
Cooperation Mode Selection and Information Sharing in a Fresh Produce Supply Chain With Freshness-Keeping Effort. Int. J. Electron. Commer. 27(2): 270-294 (2023) - Nadezhda Chukhno, Olga Chukhno, Dmitri Moltchanov, Antonella Molinaro, Yuliya Gaidamaka, Konstantin E. Samouylov, Yevgeni Koucheryavy, Giuseppe Araniti:
Optimal Multicasting in Millimeter Wave 5G NR With Multi-Beam Directional Antennas. IEEE Trans. Mob. Comput. 22(6): 3572-3588 (2023) - Fabian Natanael Murrieta-Rico, Elia Ivette Cota Rivera, María E. Raygoza-L, Roxana Jiménez Sanchez, Guillermo M. Limon-Molina, Jesús Heriberto Orduño-Osuna, Juan Carlos Ling, Abelardo Mercado-Herrera, Oleg Sergiyenko:
Computational Study of Data Generated During Time-Domain Overlapping Processes. ENC 2023: 1-5 - Roberto Molinaro, Yunan Yang, Björn Engquist, Siddhartha Mishra:
Neural Inverse Operators for Solving PDE Inverse Problems. ICML 2023: 25105-25139 - Pavel Cheben, Jens H. Schmid, Pablo Ginel-Moreno, Shahrzad Khajavi, R. Korcek, W. Fraser, D. Sirmaci, Alejandro Fernández Hinestrosa, Jose M. Luque-González, Daniel Pereira-Martín, Alejandro Sánchez-Postigo, Abdelfettah Hadij-ElHouati, Daniel Benedikovic, Alejandro Ortega-Moñux, J. Gonzalo Wangüemert-Pérez, I. Molina Fernandez, Robert Halir, Winnie N. Ye, Daniele Melati, Carlos Alonso-Ramos, David González-Andrade, Laurent Vivien, I. Staude, J. Zhang, Maziyar Milanizadeh, Dan-Xia Xu, Yuri Grinberg, Ross Cheriton, Siegfried Janz, S. Wang, Martin Vachon, Milan Dado, R. Fernández de Cabo, Aitor V. Velasco:
Subwavelength-Engineered Metamaterial Devices for Integrated Photonics. ICTON 2023: 1 - Yuvaraj Munian, Antonio Martinez-Molina, Miltiadis Alamaniotis:
Comparative Analysis of Thermogram and Pre-Processed HoG Images Using Machine Learning Classifiers. IISA 2023: 1-8 - Sadhana Ravikumar, Ranjit Ittyerah, Sydney Lim, Long Xie, Sandhitsu R. Das, Pulkit Khandelwal, Laura E. M. Wisse, Madigan L. Bedard, John L. Robinson, Terry Schuck, Murray Grossman, John Q. Trojanowski, Edward B. Lee, M. Dylan Tisdall, Karthik Prabhakaran, John A. Detre, David J. Irwin, Winifred Trotman, Gabor Mizsei, Emilio Artacho-Pérula, Maria Mercedes Iñiguez de Onzoño Martin, María del Mar Arroyo Jiménez, Mónica Muñoz López, Francisco Javier Molina Romero, Maria del Pilar Marcos Rabal, Sandra Cebada Sánchez, José Carlos Delgado González, Carlos de la Rosa Prieto, Marta Córcoles Parada, David A. Wolk, Ricardo Insausti, Paul A. Yushkevich:
Improved Segmentation of Deep Sulci in Cortical Gray Matter Using a Deep Learning Framework Incorporating Laplace's Equation. IPMI 2023: 692-704 - Yunan Wu, Francisco M. Castro-Macías, Pablo Morales-Álvarez, Rafael Molina, Aggelos K. Katsaggelos:
Smooth Attention for Deep Multiple Instance Learning: Application to CT Intracranial Hemorrhage Detection. MICCAI (5) 2023: 327-337 - Roberto Molinaro, Yunan Yang, Björn Engquist, Siddhartha Mishra:
Neural Inverse Operators for Solving PDE Inverse Problems. CoRR abs/2301.11167 (2023) - Sadhana Ravikumar, Ranjit Ittyerah, Sydney Lim, Long Xie, Sandhitsu R. Das, Pulkit Khandelwal, Laura E. M. Wisse, Madigan L. Bedard, John L. Robinson, Terry Schuck, Murray Grossman, John Q. Trojanowski, Edward B. Lee, M. Dylan Tisdall, Karthik Prabhakaran, John A. Detre, David J. Irwin, Winifred Trotman, Gabor Mizsei, Emilio Artacho-Pérula, Maria Mercedes Iñiguez de Onzoño Martin, María del Mar Arroyo Jiménez, Mónica Muñoz López, Francisco Javier Molina Romero, Maria del Pilar Marcos Rabal, Sandra Cebada Sánchez, José Carlos Delgado González, Carlos de la Rosa Prieto, Marta Córcoles Parada, David A. Wolk, Ricardo Insausti, Paul A. Yushkevich:
Improved Segmentation of Deep Sulci in Cortical Gray Matter Using a Deep Learning Framework Incorporating Laplace's Equation. CoRR abs/2303.00795 (2023)
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