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Publication search results
found 349 matches
- 2024
- Felix M. Schmitt-Koopmann, Elaine M. Huang, Hans-Peter Hutter, Thilo Stadelmann, Alireza Darvishy:
MathNet: A Data-Centric Approach for Printed Mathematical Expression Recognition. IEEE Access 12: 76963-76974 (2024) - Minjik Kim, Junghwan Kook, Peter Risby Andersen, Ikjin Lee:
An automated framework for material property calibration in loudspeaker simulation model. Adv. Eng. Softw. 197: 103748 (2024) - Yiyang Yu, Shivani Muthukumar, Peter K. Koo:
EvoAug-TF: extending evolution-inspired data augmentations for genomic deep learning to TensorFlow. Bioinform. 40(3) (2024) - Evi M. C. Huijben, Maarten L. Terpstra, Arthur Jr Galapon, Suraj Pai, Adrian Thummerer, Peter Koopmans, Manya Afonso, Maureen A. J. M. van Eijnatten, Oliver J. Gurney-Champion, Zeli Chen, Yiwen Zhang, Kaiyi Zheng, Chuanpu Li, Haowen Pang, Chuyang Ye, Runqi Wang, Tao Song, Fuxin Fan, Jingna Qiu, Yixing Huang, Juhyung Ha, Jong Sung Park, Alexandra Alain-Beaudoin, Silvain Bériault, Pengxin Yu, Hongbin Guo, Zhanyao Huang, Gengwan Li, Xueru Zhang, Yubo Fan, Han Liu, Bowen Xin, Aaron Nicolson, Lujia Zhong, Zhiwei Deng, Gustav Müller-Franzes, Firas Khader, Xia Li, Ye Zhang, Cédric Hémon, Valentin Boussot, Zhihao Zhang, Long Wang, Lu Bai, Shaobin Wang, Derk Mus, Bram Kooiman, Chelsea A. H. Sargeant, Edward G. A. Henderson, Satoshi Kondo, Satoshi Kasai, Reza Karimzadeh, Bulat Ibragimov, Thomas Helfer, Jessica Dafflon, Zijie Chen, Enpei Wang, Zoltán Perkó, Matteo Maspero:
Generating synthetic computed tomography for radiotherapy: SynthRAD2023 challenge report. Medical Image Anal. 97: 103276 (2024) - Evan Seitz, David M. McCandlish, Justin B. Kinney, Peter K. Koo:
Interpreting cis-regulatory mechanisms from genomic deep neural networks using surrogate models. Nat. Mac. Intell. 6(6): 701-713 (2024) - Alexander Frank, Bart Kootte, Thorsten Göttsche, Peter Jutte, Jean Schleipen, Paul Dijkstra, Eckardt Bihler, Joachim N. Burghartz, Jens Anders:
A 97-Channel Read-Out ASIC for an Electrophysiological Mapping Catheter With an Optical Link. IEEE Trans. Biomed. Circuits Syst. 18(1): 76-88 (2024) - Rutger van Koert, Stefan Klut, Tim Koornstra, Martijn Maas, Luke Peters:
Loghi: An End-to-End Framework for Making Historical Documents Machine-Readable. ICDAR (Workshops 1) 2024: 73-88 - Anne-Jet Jansen, Guido M. Peters, Laura Kooij, Carine J. M. Doggen, Wim H. van Harten:
Technological Aspects of Device-Based Monitoring and the Impact on Hospital Services. MIE 2024: 176-177 - Adrian Schwarzenberger, Sidra Sarwar, Carsten Eschenbaum, Adrian Mertens, Malte Martens, Alexander Kotz, Dengyang Fang, Alban Sherifaj, Stefan Singer, Hend Kholeif, P. Kern, Peter Erk, Artem Kuzmin, S. Erase, Sebastian Randel, Wolfgang Freude, Christian Koos:
O-Band SOH Mach-Zehnder Modulator Operating at a PAM4 Line Rate of 384 Gbit/s with Sub-Volt Drive Voltage. OFC 2024: 1-3 - Steven Demuynck, Victor Vega-Gonzalez, C. Toledo de Carvalho Cavalcante, L. Petersen Barbosa Lima, K. Stiers, C. Sheng, A. Vandooren, M. Hosseini, X. Zhou, Hans Mertens, Thomas Chiarella, Jürgen Bömmels, Roger Loo, E. Rosseel, Clement Porret, Y. Shimura, A. Akula, G. Mannaert, S. Choudhury, V. Brissonneau, E. Dupuy, T. Sarkar, Nathali Franchina-Vergel, A. Peter, Nicolas Jourdan, J. P. Soulie, Kevin Vandersmissen, F. Sebaai, P. Puttarame Gowda, K. Lai, A. Mingardi, S. Sumar Sarkar, K. D'Have, B. T. Chan, A. Sepulveda Marquez, R. Langer, I. Gyo Koo, E. Altamirano Sanchez, Katia Devriendt, P. Rincon Delgadillo, F. Lazzarino, Jérôme Mitard, J. Geypen, E. Grieten, D. Batuk, Y.-F. Chen, F. Verbeek, F. Holsteyns, S. Subramanian, N. Horiguchi, S. Biesemans:
Monolithic Complementary Field Effect Transistors (CFET) Demonstrated using Middle Dielectric Isolation and Stacked Contacts. VLSI Technology and Circuits 2024: 1-2 - Felix M. Schmitt-Koopmann, Elaine M. Huang, Hans-Peter Hutter, Thilo Stadelmann, Alireza Darvishy:
MathNet: A Data-Centric Approach for Printed Mathematical Expression Recognition. CoRR abs/2404.13667 (2024) - 2023
- Alireza Koochali, Maria Walch, Sankrutyayan Thota, Peter Schichtel, Andreas Dengel, Sheraz Ahmed:
Quantifying quality of class-conditional generative models in time series domain. Appl. Intell. 53(20): 24530-24550 (2023) - Risa Karakida Kawaguchi, Ziqi Tang, Stephan Fischer, Chandana Rajesh, Rohit Tripathy, Peter K. Koo, Jesse A. Gillis:
Learning single-cell chromatin accessibility profiles using meta-analytic marker genes. Briefings Bioinform. 24(1) (2023) - Samantha Petti, Nicholas Bhattacharya, Roshan Rao, Justas Dauparas, Neil Thomas, Juannan Zhou, Alexander M. Rush, Peter K. Koo, Sergey Ovchinnikov:
End-to-end learning of multiple sequence alignments with differentiable Smith-Waterman. Bioinform. 39(1) (2023) - Jakub R. Kaczmarzyk, Rajarsi Gupta, Tahsin M. Kurç, Shahira Abousamra, Joel H. Saltz, Peter K. Koo:
ChampKit: A framework for rapid evaluation of deep neural networks for patch-based histopathology classification. Comput. Methods Programs Biomed. 239: 107631 (2023) - Annemie Rose Janssen, Philippa Bricher, Karen Payne, Renuka Badhe, Nicole Biebow, Taco F. de Bruin, Ruth E. Duerr, Pjotr Elshout, Allison G. Gaylord, Øystein Godøy, Patrick Gorringe, Damien Guihen, Johnathan T. Kool, Jan Rene Larsen, Joseph Nolan, Antonio Novellino, William Manley, Andreas Marouchos, Molly McCammon, Maribeth Murray, Jenn Parrott, Jay Pearlman, Helen Peat, Peter L. Pulsifer, Lloyd Symons, Marten Tacoma, Soulaine Theocharides, Stein Tronstad, Chantelle Verhey, Anton Van de Putte:
Polar Data Forum IV - An Ocean of Opportunities. Data Sci. J. 22 (2023) - John Adeoye, Mohamad Koohi-Moghadam, Siu-Wai Choi, Li-Wu Zheng, Anthony Wing Ip Lo, Raymond King-Yin Tsang, Velda Ling Yu Chow, Abdulwarith Akinshipo, Peter Thomson, Yu-Xiong Su:
Predicting oral cancer risk in patients with oral leukoplakia and oral lichenoid mucositis using machine learning. J. Big Data 10(1): 39 (2023) - Fernando Marmolejo-Ramos, Mauricio Tejo, Marek Brabec, Jakub Kuzilek, Srecko Joksimovic, Vitomir Kovanovic, Jorge González, Thomas Kneib, Peter Bühlmann, Lucas Kook, Guillermo Briseño-Sánchez, Raydonal Ospina:
Distributional regression modeling via generalized additive models for location, scale, and shape: An overview through a data set from learning analytics. WIREs Data Mining Knowl. Discov. 13(1) (2023) - Mohsen Koohi Esfahani, Paolo Boldi, Hans Vandierendonck, Peter Kilpatrick, Sebastiano Vigna:
On Overcoming HPC Challenges of Trillion-Scale Real-World Graph Datasets. IEEE Big Data 2023: 215-220 - Xabier Iturbe, Nassim Abderrahmane, Jaume Abella, Sergi Alcaide, Eric Beyne, Henri-Pierre Charles, Christelle Charpin-Nicolle, Lars Chittka, Angélica Dávila, Arne Erdmann, Carles Estrada, Ander Fernández, Anna Fontanelli, José Flich, Gianluca Furano, Alejandro Hernán Gloriani, Erik Isusquiza, Radu Grosu, Carles Hernández, Daniele Ielmini, David Jackson, Maha Kooli, Nicola Lepri, Bernabé Linares-Barranco, Jean-Loup Lachese, Eric Laurent, Menno Lindwer, Frank Linsenmaier, Mikel Luján, Karel Masarík, Nele Mentens, Orlando Moreira, Chinmay Nawghane, Luca Peres, Jean-Philippe Noel, Arash Pourtaherian, Christoph Posch, Peter Priller, Zdenek Prikryl, Felix Resch, Oliver Rhodes, Todor P. Stefanov, Moritz Storring, Michele Taliercio, Rafael Tornero, Marcel D. van de Burgwal, Geert Van der Plas, Elisa Vianello, Pavel Zaykov:
NimbleAI: Towards Neuromorphic Sensing-Processing 3D-integrated Chips. DATE 2023: 1-6 - Peter Boot, Marijn Koolen, Ole Mussmann, Carsten Schnober, Willem Van Hage, Joris van Zundert:
Putting to test the Affective-Aesthetic Potential. DH 2023 - Mohsen Koohi Esfahani, Paolo Boldi, Hans Vandierendonck, Peter Kilpatrick, Sebastiano Vigna:
Dataset Announcement: MS-BioGraphs, Trillion-Scale Public Real-World Sequence Similarity Graphs. IISWC 2023: 193-195 - Annika Reinke, Minu Tizabi, Michael Baumgartner, Matthias Eisenmann, Doreen Heckmann-Nötzel, A. Emre Kavur, Tim Rädsch, Carole H. Sudre, Laura Ación, Michela Antonelli, Tal Arbel, Spyridon Bakas, Arriel Benis, Matthew B. Blaschko, Florian Büttner, M. Jorge Cardoso, Veronika Cheplygina, Jianxu Chen, Evangelia Christodoulou, Beth A. Cimini, Gary S. Collins, Keyvan Farahani, Luciana Ferrer, Adrian Galdran, Bram van Ginneken, Ben Glocker, Patrick Godau, Robert Haase, Daniel A. Hashimoto, Michael M. Hoffman, Merel Huisman, Fabian Isensee, Pierre Jannin, Charles E. Kahn, Dagmar Kainmueller, Bernhard Kainz, Alexandros Karargyris, Alan Karthikesalingam, Hannes Kenngott, Jens Kleesiek, Florian Kofler, Thijs Kooi, Annette Kopp-Schneider, Michal Kozubek, Anna Kreshuk, Tahsin M. Kurç, Bennett A. Landman, Geert Litjens, Amin Madani, Klaus H. Maier-Hein, Anne L. Martel, Peter Mattson, Erik Meijering, Bjoern H. Menze, Karel G. M. Moons, Henning Müller, Brennan Nichyporuk, Felix Nickel, Jens Petersen, Susanne M. Rafelski, Nasir M. Rajpoot, Mauricio Reyes, Michael A. Riegler, Nicola Rieke, Julio Saez-Rodriguez, Clara I. Sánchez, Shravya Shetty, Maarten van Smeden, Ronald M. Summers, Abdel A. Taha, Aleksei Tiulpin, Sotirios A. Tsaftaris, Ben Van Calster, Gaël Varoquaux, Manuel Wiesenfarth, Ziv R. Yaniv, Paul F. Jäger, Lena Maier-Hein:
Understanding metric-related pitfalls in image analysis validation. CoRR abs/2302.01790 (2023) - Pawan Goyal, Süleyman Yildiz, Peter Benner:
Deep Learning for Structure-Preserving Universal Stable Koopman-Inspired Embeddings for Nonlinear Canonical Hamiltonian Dynamics. CoRR abs/2308.13835 (2023) - Mohsen Koohi Esfahani, Paolo Boldi, Hans Vandierendonck, Peter Kilpatrick, Sebastiano Vigna:
MS-BioGraphs: Sequence Similarity Graph Datasets. CoRR abs/2308.16744 (2023) - Priyam Gupta, Peter J. Schmid, Denis Sipp, Taraneh Sayadi, Georgios Rigas:
Mori-Zwanzig latent space Koopman closure for nonlinear autoencoder. CoRR abs/2310.10745 (2023) - 2022
- Felix M. Schmitt-Koopmann, Elaine M. Huang, Hans-Peter Hutter, Thilo Stadelmann, Alireza Darvishy:
FormulaNet: A Benchmark Dataset for Mathematical Formula Detection. IEEE Access 10: 91588-91596 (2022) - Christian Lamping, Marjolein Derks, Peter W. G. Groot Koerkamp, Gert Kootstra:
ChickenNet - an end-to-end approach for plumage condition assessment of laying hens in commercial farms using computer vision. Comput. Electron. Agric. 194: 106695 (2022) - Wouter M. Koolen, Peter Grünwald:
Log-optimal anytime-valid E-values. Int. J. Approx. Reason. 141: 69-82 (2022) - John Adeoye, Liuling Hui, Mohamad Koohi-Moghadam, Jia Yan Tan, Siu-Wai Choi, Peter Thomson:
Comparison of time-to-event machine learning models in predicting oral cavity cancer prognosis. Int. J. Medical Informatics 157: 104635 (2022)
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