et al.

Publication Activity (10 Years)

Years Active: 1988-2023
Publications (10 Years): 39

Top Venues

CoRR

MobiHealth

Medical Image Anal.

INTERSPEECH

Publications

Kaiyuan Yang, Fabio Musio, Yihui Ma, Norman Juchler, Johannes C. Paetzold, Rami Al-Maskari, Luciano Höher, Hongwei Bran Li, Ibrahim Ethem Hamamci, Anjany Sekuboyina, Suprosanna Shit, Houjing Huang, Diana Waldmannstetter, Florian Kofler, Fernando Navarro, Martin J. Menten, Ivan Ezhov, Daniel Rueckert, Iris N. Vos, Ynte M. Ruigrok, Birgitta K. Velthuis, Hugo J. Kuijf, Julien Hämmerli, Catherine Wurster, Philippe Bijlenga, Laura Westphal, Jeroen Bisschop, Elisa Colombo, Hakim Baazaoui, Andrew Makmur, James Hallinan, Benedikt Wiestler, Jan S. Kirschke, Roland Wiest, Emmanuel Montagnon, Laurent Létourneau-Guillon, Adrian Galdran, Francesco Galati, Daniele Falcetta, Maria A. Zuluaga, Chaolong Lin, Haoran Zhao, Zehan Zhang, Sinyoung Ra, Jongyun Hwang, Hyunjin Park, Junqiang Chen, Marek Wodzinski, Henning Müller, et al.
Benchmarking the CoW with the TopCoW Challenge: Topology-Aware Anatomical Segmentation of the Circle of Willis for CTA and MRA. CoRR (2023)
Rohan Anil, Sebastian Borgeaud, Yonghui Wu, Jean-Baptiste Alayrac, Jiahui Yu, Radu Soricut, Johan Schalkwyk, Andrew M. Dai, Anja Hauth, Katie Millican, David Silver, Slav Petrov, Melvin Johnson, Ioannis Antonoglou, Julian Schrittwieser, Amelia Glaese, Jilin Chen, Emily Pitler, Timothy P. Lillicrap, Angeliki Lazaridou, Orhan Firat, James Molloy, Michael Isard, Paul Ronald Barham, Tom Hennigan, Benjamin Lee, Fabio Viola, Malcolm Reynolds, Yuanzhong Xu, Ryan Doherty, Eli Collins, Clemens Meyer, Eliza Rutherford, Erica Moreira, Kareem Ayoub, Megha Goel, George Tucker, Enrique Piqueras, Maxim Krikun, Iain Barr, Nikolay Savinov, Ivo Danihelka, Becca Roelofs, Anaïs White, Anders Andreassen, Tamara von Glehn, Lakshman Yagati, Mehran Kazemi, Lucas Gonzalez, Misha Khalman, Jakub Sygnowski, et al.
Gemini: A Family of Highly Capable Multimodal Models. CoRR (2023)
Sungduk Yu, Walter M. Hannah, Liran Peng, Mohamed Aziz Bhouri, Ritwik Gupta, Jerry Lin, Björn Lütjens, Justus C. Will, Tom Beucler, Bryce E. Harrop, Benjamin R. Hillman, Andrea M. Jenney, Savannah L. Ferretti, Nana Liu, Anima Anandkumar, Noah D. Brenowitz, Veronika Eyring, Pierre Gentine, Stephan Mandt, Jaideep Pathak, Carl Vondrick, Rose Yu, Laure Zanna, Ryan P. Abernathey, Fiaz Ahmed, David C. Bader, Pierre Baldi, Elizabeth A. Barnes, Gunnar Behrens, Christopher S. Bretherton, Julius J. M. Busecke, Peter M. Caldwell, Wayne Chuang, Yilun Han, Yu Huang, Fernando Iglesias-Suarez, Sanket Jantre, Karthik Kashinath, Marat Khairoutdinov, Thorsten Kurth, Nicholas J. Lutsko, Po-Lun Ma, Griffin Mooers, J. David Neelin, David A. Randall, Sara Shamekh, Akshay Subramaniam, Mark A. Taylor, et al.
ClimSim: An open large-scale dataset for training high-resolution physics emulators in hybrid multi-scale climate simulators. CoRR (2023)
M. Pöntinen, Mikael Granvik, Achille A. Nucita, L. Conversi, Bruno Altieri, B. Carry, C. M. O'Riordan, D. Scott, N. Aghanim, A. Amara, L. Amendola, N. Auricchio, M. Baldi, D. Bonino, E. Branchini, Massimo Brescia, S. Camera, V. Capobianco, C. Carbone, J. Carretero, M. Castellano, Stefano Cavuoti, A. Cimatti, R. Cledassou, G. Congedo, Y. Copin, L. Corcione, F. Courbin, M. Cropper, A. Da Silva, Hubert Degaudenzi, J. Dinis, Florian Dubath, X. Dupac, S. Dusini, S. Farrens, S. Ferriol, Marco Frailis, Enrico Franceschi, M. Fumana, S. Galeotta, et al.
Euclid: Identification of asteroid streaks in simulated images using deep learning. CoRR (2023)
Rafael Ferreira da Silva, Rosa M. Badia, Venkat Bala, Debbie Bard, Peer-Timo Bremer, Ian Buckley, Silvina Caíno-Lores, Kyle Chard, Carole A. Goble, Shantenu Jha, Daniel S. Katz, Daniel Laney, Manish Parashar, Frédéric Suter, Nick Tyler, Thomas D. Uram, Ilkay Altintas, Stefan Andersson, William Arndt, Juan Aznar, Jonathan Bader, Bartosz Balis, Chris Blanton, Kelly Rosa Braghetto, Aharon Brodutch, Paul Brunk, Henri Casanova, Alba Cervera-Lierta, Justin Chigu, Tainã Coleman, Nick Collier, Iacopo Colonnelli, Frederik Coppens, Michael R. Crusoe, Will Cunningham, Bruno de Paula Kinoshita, Paolo Di Tommaso, Charles M. Doutriaux, Matthew Downton, Wael R. Elwasif, Bjoern Enders, Chris Erdmann, Thomas Fahringer, Ludmilla Figueiredo, Rosa Filgueira, Martin Foltin, Anne Fouilloux, Luiz Gadelha, Andy Gallo, Artur García-Sáez, et al.
Workflows Community Summit 2022: A Roadmap Revolution. CoRR (2023)
Jianning Li, Antonio Pepe, Christina Gsaxner, Gijs Luijten, Yuan Jin, Narmada Ambigapathy, Enrico Nasca, Naida Solak, Gian Marco Melito, Afaque R. Memon, Xiaojun Chen, Jan Stefan Kirschke, Ezequiel de la Rosa, Patrick Ferndinand Christ, Hongwei Bran Li, David G. Ellis, Michele R. Aizenberg, Sergios Gatidis, Thomas Küstner, Nadya Shusharina, Nicholas Heller, Vincent Andrearczyk, Adrien Depeursinge, Mathieu Hatt, Anjany Sekuboyina, Maximilian Löffler, Hans Liebl, Reuben Dorent, Tom Vercauteren, Jonathan Shapey, Aaron Kujawa, Stefan Cornelissen, Patrick Langenhuizen, Achraf Ben-Hamadou, Ahmed Rekik, Sergi Pujades, Edmond Boyer, Federico Bolelli, Costantino Grana, Luca Lumetti, Hamidreza Salehi, Jun Ma, Yao Zhang, Ramtin Gharleghi, Susann Beier, Arcot Sowmya, Eduardo A. Garza-Villarreal, Thania Balducci, et al.
MedShapeNet - A Large-Scale Dataset of 3D Medical Shapes for Computer Vision. CoRR (2023)
Mathilde Papillon, Mustafa Hajij, Florian Frantzen, Josef Hoppe, Helen Jenne, Johan Mathe, Audun Myers, Theodore Papamarkou, Michael T. Schaub, Ghada Zamzmi, Tolga Birdal, Tamal K. Dey, Tim Doster, Tegan Emerson, Gurusankar Gopalakrishnan, Devendra Govil, Vincent P. Grande, Aldo Guzmán-Sáenz, Henry Kvinge, Neal Livesay, Jan Meisner, Soham Mukherjee, Shreyas N. Samaga, Karthikeyan Natesan Ramamurthy, Maneel Reddy Karri, Paul Rosen, Sophia Sanborn, Michael Scholkemper, Robin Walters, Jens Agerberg, Georg Bökman, Sadrodin Barikbin, Claudio Battiloro, Gleb Bazhenov, Guillermo Bernárdez, Aiden Brent, Sergio Escalera, Simone Fiorellino, Dmitrii Gavrilev, Mohammed Hassanin, Paul Häusner, Odin Hoff Gardaa, Abdelwahed Khamis, Manuel Lecha, German Magai, Tatiana Malygina, Pavlo Melnyk, et al.
ICML 2023 Topological Deep Learning Challenge : Design and Results. CoRR (2023)
Rasha U. Abbasi, M. Ackermann, Jenni Adams, J. A. Aguilar, Markus Ahlers, Markus Ahrens, J. M. Alameddine, A. A. Alves Jr., N. M. Amin, K. Andeen, Tyler Anderson, Gisela Anton, Carlos A. Argüelles, Y. Ashida, S. Athanasiadou, S. Axani, Xinhua Bai, A. Balagopal V., Steven W. Barwick, Vedant Basu, S. Baur, Ryan Bay, James J. Beatty, Karl-Heinz Becker, Julia K. Becker Tjus, J. Beise, Chiara Bellenghi, S. Benda, Segev BenZvi, David Berley, Elisa Bernardini, David Z. Besson, Gary Binder, Daniel Bindig, Erik Blaufuss, Summer Blot, M. Boddenberg, F. Bontempo, J. Y. Book, J. Borowka, Sebastian Böser, Olga Botner, Jakob Böttcher, Etienne Bourbeau, Federica Bradascio, J. Braun, B. Brinson, Stephanie Bron, Jannes Brostean-Kaiser, R. T. Burley, Raffaela S. Busse, Michael A. Campana, E. G. Carnie-Bronca, Chujie Chen, Z. Chen, Dmitry Chirkin, K. Choi, B. A. Clark, Ken Clark, Lew Classen, Alan Coleman, Gabriel H. Collin, A. Connolly, Janet Marie Conrad, et al.
Observation of high-energy neutrinos from the Galactic plane. CoRR (2023)
Kristen Grauman, Andrew Westbury, Lorenzo Torresani, Kris Kitani, Jitendra Malik, Triantafyllos Afouras, Kumar Ashutosh, Vijay Baiyya, Siddhant Bansal, Bikram Boote, Eugene Byrne, Zachary Chavis, Joya Chen, Feng Cheng, Fu-Jen Chu, Sean Crane, Avijit Dasgupta, Jing Dong, María Escobar, Cristhian Forigua, Abrham Gebreselasie, Sanjay Haresh, Jing Huang, Md Mohaiminul Islam, Suyog Dutt Jain, Rawal Khirodkar, Devansh Kukreja, Kevin J. Liang, Jia-Wei Liu, Sagnik Majumder, Yongsen Mao, Miguel Martin, Effrosyni Mavroudi, Tushar Nagarajan, Francesco Ragusa, Santhosh Kumar Ramakrishnan, Luigi Seminara, Arjun Somayazulu, Yale Song, Shan Su, Zihui Xue, Edward Zhang, Jinxu Zhang, Angela Castillo, Changan Chen, Xinzhu Fu, Ryosuke Furuta, Cristina González, Prince Gupta, Jiabo Hu, Yifei Huang, Yiming Huang, Weslie Khoo, et al.
Ego-Exo4D: Understanding Skilled Human Activity from First- and Third-Person Perspectives. CoRR (2023)
Rohan Anil, Andrew M. Dai, Orhan Firat, Melvin Johnson, Dmitry Lepikhin, Alexandre Passos, Siamak Shakeri, Emanuel Taropa, Paige Bailey, Zhifeng Chen, Eric Chu, Jonathan H. Clark, Laurent El Shafey, Yanping Huang, Kathy Meier-Hellstern, Gaurav Mishra, Erica Moreira, Mark Omernick, Kevin Robinson, Sebastian Ruder, Yi Tay, Kefan Xiao, Yuanzhong Xu, Yujing Zhang, Gustavo Hernández Ábrego, Junwhan Ahn, Jacob Austin, Paul Barham, Jan A. Botha, James Bradbury, Siddhartha Brahma, Kevin Brooks, Michele Catasta, Yong Cheng, Colin Cherry, Christopher A. Choquette-Choo, Aakanksha Chowdhery, Clément Crepy, Shachi Dave, Mostafa Dehghani, Sunipa Dev, Jacob Devlin, Mark Díaz, Nan Du, Ethan Dyer, Vladimir Feinberg, Fangxiaoyu Feng, Vlad Fienber, Markus Freitag, Xavier Garcia, Sebastian Gehrmann, Lucas Gonzalez, et al.
PaLM 2 Technical Report. CoRR (2023)
Karim Lekadir, Aasa Feragen, Abdul Joseph Fofanah, Alejandro F. Frangi, Alena Buyx, Anais Emelie, Andrea Lara, Antonio R. Porras, An-Wen Chan, Arcadi Navarro, Ben Glocker, Benard Ohene Botwe, Bishesh Khanal, Brigit Beger, Carol C. Wu, Celia Cintas, Curtis P. Langlotz, Daniel Rueckert, Deogratias Mzurikwao, Dimitrios I. Fotiadis, Doszhan Zhussupov, Enzo Ferrante, Erik Meijering, Eva Weicken, Fabio A. González, Folkert W. Asselbergs, Fred W. Prior, Gabriel P. Krestin, Gary S. Collins, Geletaw Sahle Tegenaw, Georgios Kaissis, Gianluca Misuraca, Gianna Tsakou, Girish Dwivedi, Haridimos Kondylakis, Harsha Jayakody, Henry C. Woodruff, Hugo J. W. L. Aerts, Ian Walsh, Ioanna Chouvarda, Irène Buvat, Islem Rekik, James S. Duncan, Jayashree Kalpathy-Cramer, Jihad Zahir, Jinah Park, John Mongan, Judy W. Gichoya, Julia A. Schnabel, et al.
FUTURE-AI: International consensus guideline for trustworthy and deployable artificial intelligence in healthcare. CoRR (2023)
Anthony Cioppa, Silvio Giancola, Vladimir Somers, Floriane Magera, Xin Zhou, Hassan Mkhallati, Adrien Deliège, Jan Held, Carlos Hinojosa, Amir M. Mansourian, Pierre Miralles, Olivier Barnich, Christophe De Vleeschouwer, Alexandre Alahi, Bernard Ghanem, Marc Van Droogenbroeck, Abdullah Kamal, Adrien Maglo, Albert Clapés, Amr Abdelaziz, Artur Xarles, Astrid Orcesi, Atom Scott, Bin Liu, Byoungkwon Lim, Chen Chen, Fabian Deuser, Feng Yan, Fufu Yu, Gal Shitrit, Guanshuo Wang, Gyusik Choi, Hankyul Kim, Hao Guo, Hasby Fahrudin, Hidenari Koguchi, Håkan Ardö, Ibrahim Salah, Ido Yerushalmy, Iftikar Muhammad, Ikuma Uchida, Ishay Be'ery, Jaonary Rabarisoa, Jeongae Lee, Jiajun Fu, Jianqin Yin, Jinghang Xu, Jongho Nang, Julien Denize, Junjie Li, Junpei Zhang, Juntae Kim, Kamil Synowiec, et al.
SoccerNet 2023 Challenges Results. CoRR (2023)
Open X.-Embodiment Collaboration, Abhishek Padalkar, Acorn Pooley, Ajinkya Jain, Alex Bewley, Alexander Herzog, Alex Irpan, Alexander Khazatsky, Anant Raj, Anikait Singh, Anthony Brohan, Antonin Raffin, Ayzaan Wahid, Ben Burgess-Limerick, Beomjoon Kim, Bernhard Schölkopf, Brian Ichter, Cewu Lu, Charles Xu, Chelsea Finn, Chenfeng Xu, Cheng Chi, Chenguang Huang, Christine Chan, Chuer Pan, Chuyuan Fu, Coline Devin, Danny Driess, Deepak Pathak, Dhruv Shah, Dieter Büchler, Dmitry Kalashnikov, Dorsa Sadigh, Edward Johns, Federico Ceola, Fei Xia, Freek Stulp, Gaoyue Zhou, Gaurav S. Sukhatme, Gautam Salhotra, Ge Yan, Giulio Schiavi, Gregory Kahn, Hao Su, Haoshu Fang, Haochen Shi, Heni Ben Amor, Henrik I. Christensen, Hiroki Furuta, Homer Walke, Hongjie Fang, Igor Mordatch, Ilija Radosavovic, et al.
Open X-Embodiment: Robotic Learning Datasets and RT-X Models. CoRR (2023)
Eamonn Kennedy, Shashank Vadlamani, Hannah M. Lindsey, Kelly S. Peterson, Kristen Dams OConnor, Kenton Murray, Ronak Agarwal, Houshang H. Amiri, Raeda K. Andersen, Talin Babikian, David A Baron, Erin D. Bigler, Karen Caeyenberghs, Lisa Delano-Wood, Seth G. Disner, Ekaterina Dobryakova, Blessen C. Eapen, Rachel M. Edelstein, Carrie Esopenko, Helen M. Genova, Elbert Geuze, Naomi J. Goodrich-Hunsaker, Jordan Grafman, Asta K. Håberg, Cooper B. Hodges, Kristen R. Hoskinson, Elizabeth S. Hovenden, Andrei Irimia, Neda Jahanshad, Ruchira M. Jha, Finian Keleher, Kimbra Kenney, Inga Koerte, Spencer W. Liebel, Abigail Livny, Marianne Lovstad, Sarah L. Martindale, Jeffrey E. Max, Andrew R. Mayer, Timothy B. Meier, Deleene S. Menefee, Abdalla Z. Mohamed, Stefania Mondello, Martin M. Monti, Rajendra A. Morey, Virginia Newcombe, et al.
Linking Symptom Inventories using Semantic Textual Similarity. CoRR (2023)
Matthias Eisenmann, Annika Reinke, Vivienn Weru, Minu Dietlinde Tizabi, Fabian Isensee, Tim J. Adler, Sharib Ali, Vincent Andrearczyk, Marc Aubreville, Ujjwal Baid, Spyridon Bakas, Niranjan Balu, Sophia Bano, Jorge Bernal, Sebastian Bodenstedt, Alessandro Casella, Veronika Cheplygina, Marie Daum, Marleen de Bruijne, Adrien Depeursinge, Reuben Dorent, Jan Egger, David G. Ellis, Sandy Engelhardt, Melanie Ganz, Noha Ghatwary, Gabriel Girard, Patrick Godau, Anubha Gupta, Lasse Hansen, Kanako Harada, Mattias Heinrich, Nicholas Heller, Alessa Hering, Arnaud Huaulmé, Pierre Jannin, Ali Emre Kavur, Oldrich Kodym, Michal Kozubek, Jianning Li, Hongwei Bran Li, Jun Ma, Carlos Martín-Isla, Bjoern H. Menze, Alison Noble, Valentin Oreiller, Nicolas Padoy, Sarthak Pati, Kelly Payette, Tim Rädsch, et al.
Why is the winner the best? CoRR (2023)
Cristiano Fanelli, Z. Papandreou, K. Suresh, J. K. Adkins, Y. Akiba, A. Albataineh, M. Amaryan, I. C. Arsene, C. Ayerbe Gayoso, J. Bae, X. Bai, M. D. Baker, M. Bashkanov, R. Bellwied, F. Benmokhtar, Vladimir Berdnikov, J. C. Bernauer, F. Bock, W. Boeglin, M. Borysova, E. Brash, P. Brindza, W. J. Briscoe, M. Brooks, S. Bueltmann, M. H. S. Bukhari, A. Bylinkin, Richard Capobianco, W.-C. Chang, Y. Cheon, K. Chen, K.-F. Chen, K.-Y. Cheng, M. Chiu, T. Chujo, Z. Citron, E. Cline, E. Cohen, T. Cormier, Y. Corrales Morales, C. Cotton, J. Crafts, C. Crawford, S. Creekmore, C. Cuevas, J. Cunningham, G. David, C. T. Dean, Marcellinus Demarteau, Stefan Diehl, N. Doshita, R. Dupre, J. M. Durham, R. Dzhygadlo, R. Ehlers, L. El Fassi, A. Emmert, R. Ent, R. Fatemi, S. Fegan, M. Finger, M. Finger Jr., J. Frantz, M. Friedman, I. Friscic, et al.
AI-assisted Optimization of the ECCE Tracking System at the Electron Ion Collider. CoRR (2022)
Yawei Li, Kai Zhang, Radu Timofte, Luc Van Gool, Fangyuan Kong, Mingxi Li, Songwei Liu, Zongcai Du, Ding Liu, Chenhui Zhou, Jingyi Chen, Qingrui Han, Zheyuan Li, Yingqi Liu, Xiangyu Chen, Haoming Cai, Yu Qiao, Chao Dong, Long Sun, Jinshan Pan, Yi Zhu, Zhikai Zong, Xiaoxiao Liu, Zheng Hui, Tao Yang, Peiran Ren, Xuansong Xie, Xian-Sheng Hua, Yanbo Wang, Xiaozhong Ji, Chuming Lin, Donghao Luo, Ying Tai, Chengjie Wang, Zhizhong Zhang, Yuan Xie, Shen Cheng, Ziwei Luo, Lei Yu, Zhihong Wen, Qi Wu, Youwei Li, Haoqiang Fan, Jian Sun, Shuaicheng Liu, Yuanfei Huang, Meiguang Jin, Hua Huang, Jing Liu, Xinjian Zhang, Yan Wang, Lingshun Long, Gen Li, Yuanfan Zhang, Zuowei Cao, Lei Sun, Panaetov Alexander, Yucong Wang, Minjie Cai, Li Wang, Lu Tian, Zheyuan Wang, Hongbing Ma, Jie Liu, Chao Chen, Yidong Cai, et al.
NTIRE 2022 Challenge on Efficient Super-Resolution: Methods and Results. CoRR (2022)
Andrey Ignatov, Radu Timofte, Maurizio Denna, Abdel Younes, Ganzorig Gankhuyag, Jingang Huh, Myeong Kyun Kim, Kihwan Yoon, Hyeon-Cheol Moon, Seungho Lee, Yoonsik Choe, Jinwoo Jeong, Sungjei Kim, Maciej Smyl, Tomasz Latkowski, Pawel Kubik, Michal Sokolski, Yujie Ma, Jiahao Chao, Zhou Zhou, Hongfan Gao, Zhengfeng Yang, Zhenbing Zeng, Zhengyang Zhuge, Chenghua Li, Dan Zhu, Mengdi Sun, Ran Duan, Yan Gao, Lingshun Kong, Long Sun, Xiang Li, Xingdong Zhang, Jiawei Zhang, Yaqi Wu, Jinshan Pan, Gaocheng Yu, Jin Zhang, Feng Zhang, Zhe Ma, Hongbin Wang, Hojin Cho, Steve Kim, Huaen Li, Yanbo Ma, Ziwei Luo, Youwei Li, Lei Yu, Zhihong Wen, Qi Wu, Haoqiang Fan, Shuaicheng Liu, Lize Zhang, Zhikai Zong, Jeremy Kwon, Junxi Zhang, Mengyuan Li, Nianxiang Fu, Guanchen Ding, Han Zhu, Zhenzhong Chen, Gen Li, Yuanfan Zhang, et al.
Efficient and Accurate Quantized Image Super-Resolution on Mobile NPUs, Mobile AI & AIM 2022 challenge: Report. CoRR (2022)
Matthias Eisenmann, Annika Reinke, Vivienn Weru, Minu Dietlinde Tizabi, Fabian Isensee, Tim J. Adler, Patrick Godau, Veronika Cheplygina, Michal Kozubek, Sharib Ali, Anubha Gupta, Jan Kybic, Alison Noble, Carlos Ortiz-de-Solórzano, Samiksha Pachade, Caroline Petitjean, Daniel Sage, Donglai Wei, Elizabeth Wilden, Deepak Alapatt, Vincent Andrearczyk, Ujjwal Baid, Spyridon Bakas, Niranjan Balu, Sophia Bano, Vivek Singh Bawa, Jorge Bernal, Sebastian Bodenstedt, Alessandro Casella, Jinwook Choi, Olivier Commowick, Marie Daum, Adrien Depeursinge, Reuben Dorent, Jan Egger, Hannah Eichhorn, Sandy Engelhardt, Melanie Ganz, Gabriel Girard, Lasse Hansen, Mattias P. Heinrich, Nicholas Heller, Alessa Hering, Arnaud Huaulmé, Hyunjeong Kim, Bennett A. Landman, Hongwei Bran Li, Jianning Li, Jun Ma, Anne L. Martel, et al.
Biomedical image analysis competitions: The state of current participation practice. CoRR (2022)
Teven Le Scao, Angela Fan, Christopher Akiki, Ellie Pavlick, Suzana Ilic, Daniel Hesslow, Roman Castagné, Alexandra Sasha Luccioni, François Yvon, Matthias Gallé, Jonathan Tow, Alexander M. Rush, Stella Biderman, Albert Webson, Pawan Sasanka Ammanamanchi, Thomas Wang, Benoît Sagot, Niklas Muennighoff, Albert Villanova del Moral, Olatunji Ruwase, Rachel Bawden, Stas Bekman, Angelina McMillan-Major, Iz Beltagy, Huu Nguyen, Lucile Saulnier, Samson Tan, Pedro Ortiz Suarez, Victor Sanh, Hugo Laurençon, Yacine Jernite, Julien Launay, Margaret Mitchell, Colin Raffel, Aaron Gokaslan, Adi Simhi, Aitor Soroa, Alham Fikri Aji, Amit Alfassy, Anna Rogers, Ariel Kreisberg Nitzav, Canwen Xu, Chenghao Mou, Chris Emezue, Christopher Klamm, Colin Leong, Daniel van Strien, David Ifeoluwa Adelani, et al.
BLOOM: A 176B-Parameter Open-Access Multilingual Language Model. CoRR (2022)
Rasha U. Abbasi, Markus Ackermann, Jenni Adams, N. Aggarwal, J. A. Aguilar, Markus Ahlers, Markus Ahrens, J. M. Alameddine, A. A. Alves Jr., N. M. Amin, K. Andeen, Tyler Anderson, Gisela Anton, Carlos A. Argüelles, Y. Ashida, S. Athanasiadou, S. Axani, Xinhua Bai, A. Balagopal V., M. Baricevic, Steven W. Barwick, Vedant Basu, Ryan Bay, James J. Beatty, Karl-Heinz Becker, Julia K. Becker Tjus, J. Beise, Chiara Bellenghi, S. Benda, Segev BenZvi, David Berley, Elisa Bernardini, David Z. Besson, G. Binder, Daniel Bindig, Erik Blaufuss, Summer Blot, F. Bontempo, J. Y. Book, J. Borowka, C. Boscolo Meneguolo, Sebastian Böser, Olga Botner, Jakob Böttcher, Etienne Bourbeau, J. Braun, B. Brinson, Jannes Brostean-Kaiser, R. T. Burley, Raffaela S. Busse, Michael A. Campana, E. G. Carnie-Bronca, Chujie Chen, Z. Chen, Dmitry Chirkin, K. Choi, B. A. Clark, Lew Classen, Alan Coleman, Gabriel H. Collin, A. Connolly, J. M. Conrad, et al.
Graph Neural Networks for Low-Energy Event Classification & Reconstruction in IceCube. CoRR (2022)
Sarthak Pati, Ujjwal Baid, Brandon Edwards, Micah J. Sheller, Hans Shih-Han Wang, G. Anthony Reina, Patrick Foley, Alexey Gruzdev, Deepthi Karkada, Christos Davatzikos, Chiharu Sako, Satyam Ghodasara, Michel Bilello, Suyash Mohan, Philipp Vollmuth, Gianluca Brugnara, Chandrakanth J. Preetha, Felix Sahm, Klaus H. Maier-Hein, Maximilian Zenk, Martin Bendszus, Wolfgang Wick, Evan Calabrese, Jeffrey D. Rudie, Javier E. Villanueva-Meyer, Soonmee Cha, Madhura Ingalhalikar, Manali Jadhav, Umang Pandey, Jitender Saini, John Garrett, Matthew Larson, Robert Jeraj, Stuart Currie, Russell Frood, Kavi Fatania, Raymond Y. Huang, Ken Chang, Carmen Balaña Quintero, Jaume Capellades, Josep Puig, Johannes Trenkler, Josef Pichler, Georg Necker, Andreas Haunschmidt, Stephan Meckel, Gaurav Shukla, Spencer Liem, Gregory S. Alexander, et al.
Federated Learning Enables Big Data for Rare Cancer Boundary Detection. CoRR (2022)
Aarohi Srivastava, Abhinav Rastogi, Abhishek Rao, Abu Awal Md Shoeb, Abubakar Abid, Adam Fisch, Adam R. Brown, Adam Santoro, Aditya Gupta, Adrià Garriga-Alonso, Agnieszka Kluska, Aitor Lewkowycz, Akshat Agarwal, Alethea Power, Alex Ray, Alex Warstadt, Alexander W. Kocurek, Ali Safaya, Ali Tazarv, Alice Xiang, Alicia Parrish, Allen Nie, Aman Hussain, Amanda Askell, Amanda Dsouza, Ameet Rahane, Anantharaman S. Iyer, Anders Andreassen, Andrea Santilli, Andreas Stuhlmüller, Andrew M. Dai, Andrew La, Andrew K. Lampinen, Andy Zou, Angela Jiang, Angelica Chen, Anh Vuong, Animesh Gupta, Anna Gottardi, Antonio Norelli, Anu Venkatesh, Arash Gholamidavoodi, Arfa Tabassum, Arul Menezes, Arun Kirubarajan, Asher Mullokandov, Ashish Sabharwal, Austin Herrick, Avia Efrat, Aykut Erdem, Ayla Karakas, et al.
Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models. CoRR (2022)
Kaustubh D. Dhole, Varun Gangal, Sebastian Gehrmann, Aadesh Gupta, Zhenhao Li, Saad Mahamood, Abinaya Mahendiran, Simon Mille, Ashish Srivastava, Samson Tan, Tongshuang Wu, Jascha Sohl-Dickstein, Jinho D. Choi, Eduard H. Hovy, Ondrej Dusek, Sebastian Ruder, Sajant Anand, Nagender Aneja, Rabin Banjade, Lisa Barthe, Hanna Behnke, Ian Berlot-Attwell, Connor Boyle, Caroline Brun, Marco Antonio Sobrevilla Cabezudo, Samuel Cahyawijaya, Emile Chapuis, Wanxiang Che, Mukund Choudhary, Christian Clauss, Pierre Colombo, Filip Cornell, Gautier Dagan, Mayukh Das, Tanay Dixit, Thomas Dopierre, Paul-Alexis Dray, Suchitra Dubey, Tatiana Ekeinhor, Marco Di Giovanni, Rishabh Gupta, Rishabh Gupta, Louanes Hamla, Sang Han, Fabrice Harel-Canada, Antoine Honore, Ishan Jindal, Przemyslaw K. Joniak, Denis Kleyko, Venelin Kovatchev, et al.
NL-Augmenter: A Framework for Task-Sensitive Natural Language Augmentation. CoRR (2021)
Michael J. Anderson, Benny Chen, Stephen Chen, Summer Deng, Jordan Fix, Michael Gschwind, Aravind Kalaiah, Changkyu Kim, Jaewon Lee, Jason Liang, Haixin Liu, Yinghai Lu, Jack Montgomery, Arun Moorthy, Nadathur Satish, Sam Naghshineh, Avinash Nayak, Jongsoo Park, Chris Petersen, Martin Schatz, Narayanan Sundaram, Bangsheng Tang, Peter Tang, Amy Yang, Jiecao Yu, Hector Yuen, Ying Zhang, Aravind Anbudurai, Vandana Balan, Harsha Bojja, Joe Boyd, Matthew Breitbach, Claudio Caldato, Anna Calvo, Garret Catron, Sneh Chandwani, Panos Christeas, Brad Cottel, Brian Coutinho, Arun Dalli, Abhishek Dhanotia, Oniel Duncan, Roman Dzhabarov, Simon Elmir, Chunli Fu, Wenyin Fu, Michael Fulthorp, Adi Gangidi, Nick Gibson, Sean Gordon, Beatriz Padilla Hernandez, Daniel Ho, Yu-Cheng Huang, Olof Johansson, Shishir Juluri, et al.
First-Generation Inference Accelerator Deployment at Facebook. CoRR (2021)
Rishi Bommasani, Drew A. Hudson, Ehsan Adeli, Russ Altman, Simran Arora, Sydney von Arx, Michael S. Bernstein, Jeannette Bohg, Antoine Bosselut, Emma Brunskill, Erik Brynjolfsson, Shyamal Buch, Dallas Card, Rodrigo Castellon, Niladri S. Chatterji, Annie S. Chen, Kathleen Creel, Jared Quincy Davis, Dorottya Demszky, Chris Donahue, Moussa Doumbouya, Esin Durmus, Stefano Ermon, John Etchemendy, Kawin Ethayarajh, Li Fei-Fei, Chelsea Finn, Trevor Gale, Lauren Gillespie, Karan Goel, Noah D. Goodman, Shelby Grossman, Neel Guha, Tatsunori Hashimoto, Peter Henderson, John Hewitt, Daniel E. Ho, Jenny Hong, Kyle Hsu, Jing Huang, Thomas Icard, Saahil Jain, Dan Jurafsky, Pratyusha Kalluri, Siddharth Karamcheti, Geoff Keeling, Fereshte Khani, Omar Khattab, Pang Wei Koh, Mark S. Krass, Ranjay Krishna, Rohith Kuditipudi, et al.
On the Opportunities and Risks of Foundation Models. CoRR (2021)
A. M. Sirunyan, A. Tumasyan, Wolfgang Adam, et al.
A Deep Neural Network for Simultaneous Estimation of b Jet Energy and Resolution. Comput. Softw. Big Sci. 4 (1) (2020)
David Ott, Christopher Peikert, et al.
Identifying Research Challenges in Post Quantum Cryptography Migration and Cryptographic Agility. CoRR (2019)
David C. Parkes, Rakesh V. Vohra, et al.
Algorithmic and Economic Perspectives on Fairness. CoRR (2019)
Juan Manuel Górriz, et al.
Statistical Agnostic Mapping: a Framework in Neuroimaging based on Concentration Inequalities. CoRR (2019)
Holly E. Rushmeier, Kapil Chalil Madathil, Jessica K. Hodgins, Beth Mynatt, Tony DeRose, Blair MacIntyre, et al.
Content Generation for Workforce Training. CoRR (2019)
Chao Ren, Haijun Zhang, Jingze Hou, et al.
Computation Resource Leasing for Priority Aggregation Local Computing Network. CoRR (2019)
Spyridon Bakas, Mauricio Reyes, András Jakab, Stefan Bauer, Markus Rempfler, Alessandro Crimi, Russell Takeshi Shinohara, Christoph Berger, Sung Min Ha, Martin Rozycki, Marcel Prastawa, Esther Alberts, Jana Lipková, John B. Freymann, Justin S. Kirby, Michel Bilello, Hassan M. Fathallah-Shaykh, Roland Wiest, Jan Kirschke, Benedikt Wiestler, Rivka R. Colen, Aikaterini Kotrotsou, Pamela LaMontagne, Daniel S. Marcus, Mikhail Milchenko, Arash Nazeri, Marc-André Weber, Abhishek Mahajan, Ujjwal Baid, Dongjin Kwon, Manu Agarwal, Mahbubul Alam, Alberto Albiol, Antonio Albiol, Alex Varghese, Tran Anh Tuan, Tal Arbel, Aaron Avery, Pranjal B., Subhashis Banerjee, Thomas Batchelder, Kayhan N. Batmanghelich, Enzo Battistella, Martin Bendszus, Eze Benson, José Bernal, George Biros, Mariano Cabezas, Siddhartha Chandra, Yi-Ju Chang, et al.
Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge. CoRR (2018)
Matei Mancas, Christian Frisson, et al.
Proceedings of eNTERFACE 2015 Workshop on Intelligent Interfaces. CoRR (2018)
Kong-Aik Lee, Ville Hautamäki, Tomi Kinnunen, Anthony Larcher, et al.
The I4U Mega Fusion and Collaboration for NIST Speaker Recognition Evaluation 2016. INTERSPEECH (2017)
Brett K. Beaulieu-Jones, Jason H. Moore, et al.
Missing Data Imputation in the Electronic Health Record Using Deeply Learned Autoencoders. PSB (2017)
Paul M. Thompson, Ole A. Andreassen, Alejandro Arias-Vasquez, Carrie E. Bearden, Premika S. Boedhoe, Rachel M. Brouwer, Randy L. Buckner, Jan K. Buitelaar, Kazima B. Bulayeva, Dara M. Cannon, Ronald A. Cohen, Patricia J. Conrod, Anders M. Dale, Ian J. Deary, Emily L. Dennis, Marcel A. de Reus, Sylvane Desrivières, Danai Dima, Gary Donohoe, Simon E. Fisher, Jean-Paul Fouche, et al.
ENIGMA and the individual: Predicting factors that affect the brain in 35 countries worldwide. NeuroImage 145 (2017)
He Huang, et al.
Ergodic Capacity of Composite Fading Channels in Cognitive Radios with the Product of κ-μ and α-μ Variates. CoRR (2017)
Oskar Maier, Bjoern H. Menze, Janina von der Gablentz, Levin Häni, Mattias P. Heinrich, Matthias Liebrand, Stefan Winzeck, Abdul Basit, Paul Bentley, Liang Chen, Daan Christiaens, Francis Dutil, Karl Egger, Chaolu Feng, Ben Glocker, Michael Götz, Tom Haeck, Hanna-Leena Halme, Mohammad Havaei, Khan M. Iftekharuddin, Pierre-Marc Jodoin, et al.
ISLES 2015 - A public evaluation benchmark for ischemic stroke lesion segmentation from multispectral MRI. Medical Image Anal. 35 (2017)
Jessica S. Ancker, Lisa M. Kern, Alison Edwards, Sarah Nosal, Daniel M. Stein, Diane Hauser, Rainu Kaushal, et al.
How is the electronic health record being used? Use of EHR data to assess physician-level variability in technology use. J. Am. Medical Informatics Assoc. 21 (6) (2014)
Shereen Nabhani-Gebara, Reem Kayyali, Nada Y. Philip, Barbara K. Pierscionek, Drishty Sobnath, Evangelos Kaimakamis, Eleni Perantoni, John Chang, Nikki Davies, Roshan Siva, Shona D'Arcy, Anouk Vaes, Martijn Spruit, et al.
WELCOME project: What do stakeholders want? In depth analysis of COPD patients, carers and healthcare professional views. MobiHealth (2014)
Patricia L. Whetzel, et al.
NCBO Technology: Powering semantically aware applications. J. Biomed. Semant. 4 (S-1) (2013)
Glen E. Holt, et al.
A Future-Oriented Budget Narrative for the King County Library System: A Presentation and an Analysis. Public Libr. Q. 32 (1) (2013)
Jennifer Pereira, Susan Quach, Christine L. Heidebrecht, Sherman D. Quan, Faron Kolbe, Michael Finkelstein, Jeffrey C. Kwong, et al.
Barriers to the use of reminder/recall interventions for immunizations: a systematic review. BMC Medical Informatics Decis. Mak. 12 (2012)
Janet Jull, Dawn Stacey, Audrey Giles, Yvonne Boyer, Minwaashin Lodge, et al.
Shared decision-making and health for First Nations, Métis and Inuit women: a study protocol. BMC Medical Informatics Decis. Mak. 12 (2012)
Aaron Lewicke, Michael J. Corwin, Michael E. Schuckers, Xueyan Xu, Michael R. Neuman, Stephanie Schuckers, et al.
Analysis of heart rate variability for predicting cardiorespiratory events in infants. Biomed. Signal Process. Control. 7 (4) (2012)
Salma Jamal, Vinita Periwal, Vinod Scaria, et al.
Computational analysis and predictive modeling of small molecule modulators of microRNA. J. Cheminformatics 4 (2012)
Abhik Seal, Anurag Passi, U. C. Abdul Jaleel, David J. Wild, et al.
In-silico Predictive Mutagenicity Model Generation Using Supervised Learning Approaches. J. Cheminformatics 4 (2012)
Mattia C. F. Prosperi, Simona Di Giambenedetto, Iuri Fanti, Genny Meini, Bianca Bruzzone, Annapaola Callegaro, Giovanni Penco, Patrizia Bagnarelli, Valeria Micheli, Elisabetta Paolini, Antonio Di Biagio, Valeria Ghisetti, Massimo Di Pietro, Maurizio Zazzi, Andrea De Luca, et al.
A Prognostic Model for Estimating the Time to Virologic Failure in HIV-1 Infected Patients Undergoing a New Combination Antiretroviral Therapy Regimen. BMC Medical Informatics Decis. Mak. 11 (2011)
Michael B. Ranke, Anders Lindberg, et al.
Prediction models for short children born small for gestational age (SGA) covering the total growth phase. Analyses based on data from KIGS (Pfizer International Growth Database). BMC Medical Informatics Decis. Mak. 11 (2011)
Emma Wallace, Susan M. Smith, Rafael Perera-Salazar, Paul Vaucher, Colin McCowan, Gary S. Collins, Jan Verbakel, Monica Lakhanpaul, Tom Fahey, et al.
Framework for the impact analysis and implementation of Clinical Prediction Rules (CPRs). BMC Medical Informatics Decis. Mak. 11 (2011)
S. Schneider, J. Peters, Uli Bromberg, Stefanie Brassen, Mareike M. Menz, Stephan F. Miedl, Eva Loth, Tobias Banaschewski, Alexis Barbot, Gareth J. Barker, Patricia J. Conrod, Jeff W. Dalley, Herta Flor, Jürgen Gallinat, Hugh Garavan, Andreas Heinz, B. Itterman, Catherine Mallik, Karl Mann, Eric Artiges, Tomás Paus, Jean-Baptiste Poline, Marcella Rietschel, L. Reed, Michael N. Smolka, R. Spanagel, C. Speiser, Andreas Ströhle, M. Struve, Gunter Schumann, Christian Büchel, et al.
Boys do it the right way: Sex-dependent amygdala lateralization during face processing in adolescents. NeuroImage 56 (3) (2011)
Phillip Guddemi, et al.
Foreword: Relevance Particular and General. Cybern. Hum. Knowing 17 (4) (2010)
Ali Hamou, Michael Bauer, Benoit Lewden, Andrew Simmons, Yi Zhang, Lars-Olof Wahlund, Catherine Tunnard, Iwona Kloszewska, Patrizia Mecozzi, Hilkka Soininen, Magda Tsolaki, Bruno Vellas, Sebastian Muehlboeck, Alan C. Evans, Per Julin, Niclas Sjögren, Christian Spenger, Simon Lovestone, Femida Gwadry-Sridhar, et al.
Cluster Analysis and Decision Trees of MR Imaging in Patients Suffering Alzheimer's. PAAMS (Special Sessions and Workshops) (2010)
Elizabeth Zwicky, et al.
Book Reviews. login Usenix Mag. 35 (1) (2010)
Ryan Remy Brinkman, Mélanie Courtot, Dirk Derom, Jennifer Fostel, Yongqun He, Phillip W. Lord, James Malone, Helen E. Parkinson, Björn Peters, Philippe Rocca-Serra, Alan Ruttenberg, Susanna-Assunta Sansone, Larisa N. Soldatova, Christian J. Stoeckert Jr., Jessica A. Turner, Jie Zheng, et al.
Modeling biomedical experimental processes with OBI. J. Biomed. Semant. 1 (S-1) (2010)
Elizabeth Zwicky, et al.
Book Reviews. login Usenix Mag. 34 (3) (2009)
Gabriela Kennedy, Sarah Doyle, Brenda Lui, et al.
Data protection in the Asia-Pacific region. Comput. Law Secur. Rev. 25 (1) (2009)
Roman Witula, Damian Slota, et al.
An Iteration Convergence: 11318 [2007, 745]. Am. Math. Mon. 116 (7) (2009)
Elizabeth Zwicky, et al.
Book Reviews. login Usenix Mag. 34 (6) (2009)
David Beckwith, et al.
The Number of Balanced Senates from n States: 11343 [2008, 166]. Am. Math. Mon. 116 (10) (2009)
Elizabeth Zwicky, et al.
Book Reviews. login Usenix Mag. 34 (5) (2009)
Arno Hartholt, Jonathan Gratch, Lori Weiss, et al.
At the Virtual Frontier: Introducing Gunslinger, a Multi-Character, Mixed-Reality, Story-Driven Experience. IVA (2009)
Elizabeth Zwicky, et al.
Book Reviews. login Usenix Mag. 34 (1) (2009)
Elizabeth Zwicky, et al.
Book Reviews. login Usenix Mag. 34 (2) (2009)
Elizabeth Zwicky, et al.
Book Reviews. login Usenix Mag. 34 (4) (2009)
Ovidiu Furdui, et al.
Convergence of an Improper Integral with Three Parameters: 11316 [2007, 745]. Am. Math. Mon. 116 (3) (2009)
Craig E. Kuziemsky, Elizabeth M. Borycki, Mary Purkis, Fraser Black, Michael Boyle, Denise Cloutier-Fisher, Lee Fox, Patricia MacKenzie, Ann Syme, Coby Tschanz, Wendy Wainwright, Helen Wong, et al.
An interdisciplinary team communication framework and its application to healthcare 'e-teams' systems design. BMC Medical Informatics Decis. Mak. 9 (2009)
Donald E. Knuth, et al.
Near-deBruijn Cycles: 11336 [2008, 71]. Am. Math. Mon. 116 (9) (2009)
David Beckwith, et al.
Sum of Digits: 11319 [2008, 835]. Am. Math. Mon. 116 (3) (2009)
Werner Altmann, et al.
Lebenslanges Lernen in der Informatik: Beiträge der Hochschulen und Erwartungen der Wirtschaft - Überlegungen von Mitgliedern eines GI-Projektes zum Thema "IT im Arbeitsumfeld". Lebenslanges Lernen in der Informatik (2008)
Syrous Marivani, et al.
Consecutive Squares with a Square Average: 11227. Am. Math. Mon. 115 (6) (2008)
Elizabeth Zwicky, et al.
Book Reviews. login Usenix Mag. 33 (5) (2008)
Constantin T. Yiannoutsos, Christos T. Nakas, Bradford Navia, et al.
Assessing multiple-group diagnostic problems with multi-dimensional receiver operating characteristic surfaces: Application to proton MR Spectroscopy (MRS) in HIV-related neurological injury. NeuroImage 40 (1) (2008)
Stanley Rabinowitz, et al.
Sometimes an Integer: 11213. Am. Math. Mon. 115 (4) (2008)
Franck Beaucoup, Tamás Erdélyi, et al.
A Unique Solution: 11226. Am. Math. Mon. 115 (1) (2008)
Elizabeth Zwicky, et al.
Book Reviews. login Usenix Mag. 33 (4) (2008)
Yakub N. Aliyev, Apostolis Demis, et al.
A Triangular Result: 11285. Am. Math. Mon. 115 (8) (2008)
Tatsuyoshi Hamada, et al.
KNOPPIX/Math: a live system for enjoying mathematics with computer. ACM Commun. Comput. Algebra 42 (3) (2008)
Elizabeth Zwicky, et al.
Book Reviews. login Usenix Mag. 33 (3) (2008)
Elizabeth Zwicky, et al.
Book Reviews. login Usenix Mag. 33 (2) (2008)
Stephen J. Herschkorn, et al.
Continuous Blackjack: 11287. Am. Math. Mon. 115 (8) (2008)
Elizabeth Zwicky, et al.
Book Reviews. login Usenix Mag. 33 (6) (2008)
Harris Kwong, et al.
What We Mean, Not What We Say: 11280. Am. Math. Mon. 115 (8) (2008)
Jonathan Sondow, et al.
An Infinite Product Based on a Base: 11222. Am. Math. Mon. 115 (5) (2008)
Kent Holing, et al.
Properties of Pythagorean Triples: 11168. Am. Math. Mon. 114 (5) (2007)
Elizabeth Zwicky, et al.
Book Reviews. login Usenix Mag. 32 (6) (2007)
M. N. Deshpande, et al.
An Urn Problem with Labeled and Unlabeled Balls: 11181. Am. Math. Mon. 114 (7) (2007)
Elizabeth Zwicky, et al.
Book Reviews. login Usenix Mag. 32 (3) (2007)
Elizabeth Zwicky, et al.
Book Reviews. login Usenix Mag. 32 (2) (2007)
Elizabeth D. Zwicky, et al.
Book Reviews. login Usenix Mag. 32 (1) (2007)
M. N. Deshpande, J. P. Shiwalkar, et al.
Two Heads Are Better than One: 11173. Am. Math. Mon. 114 (6) (2007)
Hillel Gauchman, et al.
Square Root Inequality: 11157. Am. Math. Mon. 114 (1) (2007)
Emeric Deutsch, et al.
Compositions without Common Factors: 11161. Am. Math. Mon. 114 (4) (2007)
Pál Péter Dályay, et al.
Periodic Composition: 11174. Am. Math. Mon. 114 (9) (2007)
Li Zhou, Christopher Carl Heckman, Jerry Minkus, et al.
Tiling 4-Rowed Rectangles with Dominoes: 11187. Am. Math. Mon. 114 (6) (2007)
Paolo Perfetti, et al.
Series with Sines: 11162. Am. Math. Mon. 114 (2) (2007)
Richard P. Stanley, et al.
Inverting a Matrix of Striling Numbers: 11156. Am. Math. Mon. 114 (4) (2007)
Martin Däumer, Anneke Neuhaus, Christian Lederer, Michael Scholz, Jerry S. Wolinsky, Marc Heiderhoff, et al.
Prognosis of the individual course of disease - steps in developing a decision support tool for Multiple Sclerosis. BMC Medical Informatics Decis. Mak. 7 (2007)
Manuel Corpas, James Sinnott, Dave Thorne, Steve Pettifer, Terri K. Attwood, et al.
PFF - an integrated database of residues and fragments critical for protein folding. BMC Syst. Biol. 1 (S-1) (2007)

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