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Publication search results
found 2,955 matches
- 2024
- Tamás Dózsa, Vedran Jurdana, Sandi Baressi Segota, János Volk, János Radó, Alexandros Soumelidis, Péter Kovács:
Road Type Classification Using Time-Frequency Representations of Tire Sensor Signals. IEEE Access 12: 53361-53372 (2024) - Jacqueline Hausmann, Md Sirajus Salekin, Ghada Zamzmi, Peter R. Mouton, Stephanie Prescott, Thao Ho, Yu Sun, Dmitry B. Goldgof:
Accurate Neonatal Face Detection for Improved Pain Classification in the Challenging NICU Setting. IEEE Access 12: 49122-49133 (2024) - Armin Soltan, Peter Washington:
Challenges in Reducing Bias Using Post-Processing Fairness for Breast Cancer Stage Classification with Deep Learning. Algorithms 17(4): 141 (2024) - Debayan Bhattacharya, Finn Behrendt, Benjamin Tobias Becker, Dirk Beyersdorff, Elina Petersen, Marvin Petersen, Bastian Cheng, Dennis Eggert, Christian Betz, Anna Sophie Hoffmann, Alexander Schlaefer:
Multiple instance ensembling for paranasal anomaly classification in the maxillary sinus. Int. J. Comput. Assist. Radiol. Surg. 19(2): 223-231 (2024) - Ganesan Mariammal, A. Suruliandi, Kharla Andreina Segovia-Bravo, Raja Soosaimarian Peter Raj:
Predicting the suitable fertilizer for crop based on soil and environmental factors using various feature selection techniques with classifiers. Expert Syst. J. Knowl. Eng. 41(6) (2024) - Peter Sussner, Lisbeth Corbacho Carazas:
Construction of Kα-orders including admissible ones on classes of discrete intervals. Fuzzy Sets Syst. 480: 108857 (2024) - Peter Macsik, Jarmila Pavlovicova, Slavomír Kajan, Jozef Goga, Veronika Kurilová:
Image preprocessing-based ensemble deep learning classification of diabetic retinopathy. IET Image Process. 18(3): 807-828 (2024) - Ali Jamali, Swalpa Kumar Roy, Danfeng Hong, Peter M. Atkinson, Pedram Ghamisi:
Attention Graph Convolutional Network for Disjoint Hyperspectral Image Classification. IEEE Geosci. Remote. Sens. Lett. 21: 1-5 (2024) - Christoph Koller, Peter Jung, Xiaoxiang Zhu:
Can Land Cover Classification Models Benefit From Distance-Aware Architectures? IEEE Geosci. Remote. Sens. Lett. 21: 1-5 (2024) - Simon Graham, Quoc Dang Vu, Mostafa Jahanifar, Martin Weigert, Uwe Schmidt, Wenhua Zhang, Jun Zhang, Sen Yang, Jinxi Xiang, Xiyue Wang, Josef Lorenz Rumberger, Elias Baumann, Peter Hirsch, Lihao Liu, Chenyang Hong, Angelica I. Avilés-Rivero, Ayushi Jain, Heeyoung Ahn, Yiyu Hong, Hussam Azzuni, Min Xu, Mohammad Yaqub, Marie-Claire Blache, Benoît Piégu, Bertrand Vernay, Tim Scherr, Moritz Böhland, Katharina Löffler, Jiachen Li, Weiqin Ying, Chixin Wang, David R. J. Snead, Shan-E-Ahmed Raza, Fayyaz Minhas, Nasir M. Rajpoot:
CoNIC Challenge: Pushing the frontiers of nuclear detection, segmentation, classification and counting. Medical Image Anal. 92: 103047 (2024) - Michael J. Catanzaro, Sam Rizzo, John J. Kopchick, Asadur Chowdury, David R. Rosenberg, Peter Bubenik, Vaibhav A. Diwadkar:
Topological Data Analysis Captures Task-Driven fMRI Profiles in Individual Participants: A Classification Pipeline Based on Persistence. Neuroinformatics 22(1): 45-62 (2024) - Joseph K. Geisz, Phillipe A. Wernette, Peter C. Esselman:
Classification of Lakebed Geologic Substrate in Autonomously Collected Benthic Imagery Using Machine Learning. Remote. Sens. 16(7): 1264 (2024) - Jaromír Klarák, Robert Andok, Peter Malík, Ivan Kuric, Mário Ritomský, Ivana Klacková, Hung-Yin Tsai:
From Anomaly Detection to Defect Classification. Sensors 24(2): 429 (2024) - Maximilian Auch, Maximilian Balluff, Peter Mandl, Christian Wolff:
Towards an Automated Classification of Software Libraries. SN Comput. Sci. 5(4): 339 (2024) - Chein-I Chang, Chia-Chen Liang, Peter Fu-Ming Hu:
Iterative Gaussian-Laplacian Pyramid Network for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 62: 1-22 (2024) - Silvia Dias Almeida, Carsten T. Lüth, Tobias Norajitra, Tassilo Wald, Marco Nolden, Paul F. Jäger, Claus Peter Heussel, Jürgen Biederer, Oliver Weinheimer, Klaus H. Maier-Hein:
Abstract: Reformulating COPD Classification on Chest CT Scans as Anomaly Detection using Contrastive Representations - cOOpD. Bildverarbeitung für die Medizin 2024: 115 - Mohammad Hassany, Peter Brusilovsky, Jiaze Ke, Kamil Akhuseyinoglu, Arun Balajiee Lekshmi Narayanan:
Human-AI Co-Creation of Worked Examples for Programming Classes. IUI Workshops 2024 - Chelsea Chandler, Thomas Breideband, Jason G. Reitman, Marissa Chitwood, Jeffrey B. Bush, Amanda Howard, Sarah Leonhart, Peter W. Foltz, William R. Penuel, Sidney K. D'Mello:
Computational Modeling of Collaborative Discourse to Enable Feedback and Reflection in Middle School Classrooms. LAK 2024: 576-586 - Jérémy Foxcroft, Peter Christen, Luiza Antonie:
Class Ratio and Its Implications for Reproducibility and Performance in Record Linkage. PAKDD (1) 2024: 194-205 - Igor Prado, David Lima, Julian Liang, Ana Hougaz, Bernardo Peters, Luciano Oliveira:
Multi-Task Learning Based on Log Dynamic Loss Weighting for Sex Classification and Age Estimation on Panoramic Radiographs. VISIGRAPP (2): VISAPP 2024: 385-392 - Changkun Ye, Russell Tsuchida, Lars Petersson, Nick Barnes:
Label Shift Estimation for Class-Imbalance Problem: A Bayesian Approach. WACV 2024: 1062-1071 - Erwin Glazenburg, Thijs van der Horst, Tom Peters, Bettina Speckmann, Frank Staals:
Robust Bichromatic Classification using Two Lines. CoRR abs/2401.02897 (2024) - Siyuan Yan, Chi Liu, Zhen Yu, Lie Ju, Dwarikanath Mahapatra, Brigid Betz-Stablein, Victoria Mar, Monika Janda, H. Peter Soyer, Zongyuan Ge:
Prompt-driven Latent Domain Generalization for Medical Image Classification. CoRR abs/2401.03002 (2024) - Peter Vickers, Loïc Barrault, Emilio Monti, Nikolaos Aletras:
We Need to Talk About Classification Evaluation Metrics in NLP. CoRR abs/2401.03831 (2024) - Muhammad Ali Farooq, Wang Yao, Michael Schukat, Mark A Little, Peter Corcoran:
Derm-T2IM: Harnessing Synthetic Skin Lesion Data via Stable Diffusion Models for Enhanced Skin Disease Classification using ViT and CNN. CoRR abs/2401.05159 (2024) - Robert Lin, Peter W. Shor:
A New Class of Algorithms for Finding Short Vectors in Lattices Lifted from Co-dimension k Codes. CoRR abs/2401.12383 (2024) - E. M. C. Sijben, J. C. Jansen, Peter A. N. Bosman, Tanja Alderliesten:
Function Class Learning with Genetic Programming: Towards Explainable Meta Learning for Tumor Growth Functionals. CoRR abs/2402.12510 (2024) - Mohammad Hassany, Peter Brusilovsky, Jiaze Ke, Kamil Akhuseyinoglu, Arun Balajiee Lekshmi Narayanan:
Human-AI Co-Creation of Worked Examples for Programming Classes. CoRR abs/2402.16235 (2024) - André Peter Kelm, Niels Hannemann, Bruno Heberle, Lucas Schmidt, Tim Rolff, Christian Wilms, Ehsan Yaghoubi, Simone Frintrop:
Select High-Level Features: Efficient Experts from a Hierarchical Classification Network. CoRR abs/2403.05601 (2024) - Alec Reinhardt, Newsha Nikzad, Raven J. Hollis, Galia Jacobson, Millicent A. Roach, Mohamed Badawy, Peter Chul Park, Laura Beretta, Prasun K. Jalal, David T. Fuentes, Eugene J. Koay, Suprateek Kundu:
Heterogeneous Image-based Classification Using Distributional Data Analysis. CoRR abs/2403.07126 (2024)
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