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Publication search results
found 35 matches
- 2023
- Georgios Agrafiotis, Eftychia Makri, Ilias Kalamaras, Antonios Lalas, Konstantinos Votis, Dimitrios Tzovaras:
Nearest Unitary and Toeplitz matrix techniques for adaptation of Deep Learning models in photonic FPGA. NLDL 2023 - Syed Musharraf Ali, Tobias Deußer, Sebastian Houben, Lars Patrick Hillebrand, Tim Metzler, Rafet Sifa:
Automatic Consistency Checking of Table and Text in Financial Documents. NLDL 2023 - Bibek Aryal, Katie E. Miles, Sergio A. Vargas Zesati, Olac Fuentes:
Boundary Aware U-Net for Glacier Segmentation. NLDL 2023 - Juri Backes, Wolfgang Renz:
Improving Wind Speed Uncertainty Forecasts Using Recurrent Neural Networks. NLDL 2023 - Filippo Maria Bianchi:
Simplifying Clustering with Graph Neural Networks. NLDL 2023 - Mathijs Boezer, Maryam Tavakol, Zahra Sajadi:
FastDTI: Drug-Target Interaction Prediction using Multimodality and Transformers. NLDL 2023 - Karl Audun Borgersen, Morten Goodwin, Jivitesh Sharma:
A comparison between Tsetlin machines and deep neural networks in the context of recommendation systems. NLDL 2023 - Nicklas Boserup, Raghavendra Selvan:
Efficient Self-Supervision using Patch-based Contrastive Learning for Histopathology Image Segmentation. NLDL 2023 - I-Hao Chen, Nabil Belbachir:
Using Mask R-CNN for Underwater Fish Instance Segmentation as Novel Objects: A Proof of Concept. NLDL 2023 - Luca Courte, Marius Zeinhofer:
Robin Pre-Training for the Deep Ritz Method. NLDL 2023 - Tobias Deußer, Maren Pielka, Lisa Pucknat, Basil Jacob, Tim Dilmaghani Khameneh, Mahdis Nourimand, Bernd Kliem, Rüdiger Loitz, Christian Bauckhage, Rafet Sifa:
Contradiction Detection in Financial Reports. NLDL 2023 - Alvaro Fernandez-Quilez, Christoffer Gabrielsen Andersen, Trygve Eftestøl, Svein Reidar Kjosavik, Ketil Oppedal:
3D Masked Modelling Advances Lesion Classification in Axial T2w Prostate MRI. NLDL 2023 - Matteo Ferrante, Tommaso Boccato, Andrea Duggento, Simeon E. Spasov, Nicola Toschi:
Contrastive learning for unsupervised medical image clustering and reconstruction. NLDL 2023 - Manuel Gil-Martín, Cristina Luna Jiménez, Fernando Fernández Martínez, Rubén San Segundo:
Signal and Visual Approaches for Parkinson's Disease Detection from Spiral Drawings. NLDL 2023 - Michele Guerra, Indro Spinelli, Simone Scardapane, Filippo Maria Bianchi:
Explainability in subgraphs-enhanced Graph Neural Networks. NLDL 2023 - Christian Keilstrup Ingwersen, Janus Nørtoft Jensen, Morten Rieger Hannemose, Anders Bjorholm Dahl:
Evaluating current state of monocular 3D pose models for golf. NLDL 2023 - Hyeongji Kim, Pekka Parviainen, Ketil Malde:
Measuring Adversarial Robustness using a Voronoi-Epsilon Adversary. NLDL 2023 - Jingpeng Li, Atle Bjørnerud:
Automatic Postoperative Brain Tumor Segmentation with Limited Data using Transfer Learning and Triplet Attention. NLDL 2023 - Qing Li, Jiahui Geng, Steinar Evje, Chunming Rong:
Solving Nonlinear Conservation Laws of Partial Differential Equations Using Graph Neural Networks. NLDL 2023 - Mingshi Li, Zifu Wang, Matthew B. Blaschko:
Improved Imagery Throughput via Cascaded Uncertainty Pruning on U-Net++. NLDL 2023 - Mathias Micheelsen Lowes, Jakob L. Christensen, Bjørn Schreblowski Hansen, Morten Rieger Hannemose, Anders Bjorholm Dahl, Vedrana Andersen Dahl:
Interactive Scribble Segmentation. NLDL 2023 - Lidia Luque, Jon André Ottesen, Atle Bjørnerud, Kyrre Eeg Emblem, Bradley J. MacIntosh:
Reducing Annotator's Burden: Cross-Pseudo Supervision for Brain Tumor Segmentation. NLDL 2023 - Felix Neubürger, Daniel Gierse, Thomas Kopinski:
Hybrid bayesian convolutional neural network object detection architectures for tracking small markers in automotive crashtest videos. NLDL 2023 - Ørjan Langøy Olsen, Tonje Knutsen Sørdalen, Morten Goodwin, Ketil Malde, Kristian Muri Knausgård, Kim Tallaksen Halvorsen:
A contrastive learning approach for individual re-identification in a wild fish population. NLDL 2023 - Cosimo Persia, Ricardo Guimarães:
RIDDLE: Rule Induction with Deep Learning. NLDL 2023 - Flavio Petruzzellis, Ling Xuan Chen, Alberto Testolin:
Learning to solve arithmetic problems with a virtual abacus. NLDL 2023 - Miquel Martí i Rabadán, Alessandro Pieropan, Hossein Azizpour, Atsuto Maki:
Dense FixMatch: a simple semi-supervised learning method for pixel-wise prediction tasks. NLDL 2023 - Bjørn-Jostein Singstad, Belal Tavashi:
Using deep convolutional neural networks to predict patients age based on ECGs from an independent test cohort. NLDL 2023 - Oskar Sjögren, Gustav Grund Pihlgren, Fredrik Sandin, Marcus Liwicki:
Identifying and Mitigating Flaws of Deep Perceptual Similarity Metrics. NLDL 2023 - Josefine Vilsbøll Sundgaard, Morten Rieger Hannemose, Søren Laugesen, Peter Bray, James Michael Harte, Yosuke Kamide, Chiemi Tanaka, Rasmus R. Paulsen, Anders Nymark Christensen:
Multi-modal data generation with a deep metric variational autoencoder. NLDL 2023
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