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Publication search results
found 594 matches
- 2023
- Saroj Kumar Panda, Tausif Diwan, Omprakash G. Kakde, Jitendra V. Tembhurne:
Improvised detection of deepfakes from visual inputs using light weight deep ensemble model. Multim. Tools Appl. 82(13): 20101-20118 (2023) - 2021
- Arpit Pipara, Urvi Oza, Srimanta Mandal:
Underwater Image Color Correction Using Ensemble Colorization Network. ICCVW 2021: 2011-2020 - 2020
- Keval Doshi, Yasin Yilmaz:
Road Damage Detection using Deep Ensemble Learning. CoRR abs/2011.00728 (2020) - Jonathan Heitz, Joanna Ficek, Martin Faltys, Tobias M. Merz, Gunnar Rätsch, Matthias Hüser:
WRSE - a non-parametric weighted-resolution ensemble for predicting individual survival distributions in the ICU. CoRR abs/2011.00865 (2020) - Théophraste Henry, Alexandre Carre, Marvin Lerousseau, Théo Estienne, Charlotte Robert, Nikos Paragios, Eric Deutsch:
Brain tumor segmentation with self-ensembled, deeply-supervised 3D U-net neural networks: a BraTS 2020 challenge solution. CoRR abs/2011.01045 (2020) - Mohamed Mejri
, Aymen Mejri:
RandomForestMLP: An Ensemble-Based Multi-Layer Perceptron Against Curse of Dimensionality. CoRR abs/2011.01188 (2020) - Mingdong Zhang, Li Chen, Quan Li, Xiaoru Yuan, Junhai Yong:
Uncertainty-Oriented Ensemble Data Visualization and Exploration using Variable Spatial Spreading. CoRR abs/2011.01497 (2020) - Joshua Melton, Arunkumar Bagavathi, Siddharth Krishnan:
DeL-haTE: A Deep Learning Tunable Ensemble for Hate Speech Detection. CoRR abs/2011.01861 (2020) - Felipe Kenji Nakano, Konstantinos Pliakos, Celine Vens:
Deep tree-ensembles for multi-output prediction. CoRR abs/2011.02829 (2020) - Ushnish Sengupta, Maximilian L. Croci, Matthew P. Juniper:
Real-time parameter inference in reduced-order flame models with heteroscedastic Bayesian neural network ensembles. CoRR abs/2011.02838 (2020) - Sebastian Buschjäger, Lukas Pfahler, Katharina Morik:
Generalized Negative Correlation Learning for Deep Ensembling. CoRR abs/2011.02952 (2020) - Christopher Clark, Mark Yatskar, Luke Zettlemoyer:
Learning to Model and Ignore Dataset Bias with Mixed Capacity Ensembles. CoRR abs/2011.03856 (2020) - Jieming Zhu, Jinyang Liu, Weiqi Li, Jincai Lai, Xiuqiang He, Liang Chen, Zibin Zheng:
Ensembled CTR Prediction via Knowledge Distillation. CoRR abs/2011.04106 (2020) - Neil K. Chada, Ajay Jasra
, Fangyuan Yu
:
Multilevel Ensemble Kalman-Bucy Filters. CoRR abs/2011.04342 (2020) - Tirth Shah
, Lukas Olson, Aditya Sharma, Nirmal Patel:
Explainable Knowledge Tracing Models for Big Data: Is Ensembling an Answer? CoRR abs/2011.05285 (2020) - Meghana Madhyastha, Kunal Lillaney, James Browne, Joshua T. Vogelstein, Randal C. Burns:
PACSET (Packed Serialized Trees): Reducing Inference Latency for Tree Ensemble Deployment. CoRR abs/2011.05383 (2020) - Sagar Kora Venu:
An ensemble-based approach by fine-tuning the deep transfer learning models to classify pneumonia from chest X-ray images. CoRR abs/2011.05543 (2020) - Forrest Laine, Claire J. Tomlin:
Testing for Typicality with Respect to an Ensemble of Learned Distributions. CoRR abs/2011.06041 (2020) - Xingfu Wu, Valerie Taylor:
Utilizing Ensemble Learning for Performance and Power Modeling and Improvement of Parallel Cancer Deep Learning CANDLE Benchmarks. CoRR abs/2011.06654 (2020) - Wonjik Kim, Masayuki Tanaka, Masatoshi Okutomi, Yoko Sasaki:
Adaptive Future Frame Prediction with Ensemble Network. CoRR abs/2011.06788 (2020) - Lijing Wang
, Dipanjan Ghosh, Maria Teresa Gonzalez Diaz, Ahmed K. Farahat, Mahbubul Alam, Chetan Gupta, Jiangzhuo Chen, Madhav V. Marathe:
Wisdom of the Ensemble: Improving Consistency of Deep Learning Models. CoRR abs/2011.06796 (2020) - Amirreza Mahbod, Gerald Schaefer, Rupert Ecker, Isabella Ellinger:
Pollen Grain Microscopic Image Classification Using an Ensemble of Fine-Tuned Deep Convolutional Neural Networks. CoRR abs/2011.07428 (2020) - Devesh Walawalkar, Zhiqiang Shen, Marios Savvides:
Online Ensemble Model Compression using Knowledge Distillation. CoRR abs/2011.07449 (2020) - MaungMaung AprilPyone, Hitoshi Kiya:
Ensemble of Models Trained by Key-based Transformed Images for Adversarially Robust Defense Against Black-box Attacks. CoRR abs/2011.07697 (2020) - Zina M. Ibrahim, Daniel Bean, Thomas Searle, Honghan Wu, Anthony Shek, Zeljko Kraljevic, James Galloway, Sam Norton, James T. Teo
, Richard J. B. Dobson:
A Knowledge Distillation Ensemble Framework for Predicting Short and Long-term Hospitalisation Outcomes from Electronic Health Records Data. CoRR abs/2011.09361 (2020) - Le Anh Dao, Luca Ferrarini, D. La Carrubba:
Improving Solar and PV Power Prediction with Ensemble Methods. CoRR abs/2011.09950 (2020) - Evaldas Vaiciukynas, Paulius Danenas, Vilius Kontrimas, Rimantas Butleris:
Meta-Learning for Time Series Forecasting Ensemble. CoRR abs/2011.10545 (2020) - Sebastian Friedemann, Bruno Raffin:
An elastic framework for ensemble-based large-scale data assimilation. CoRR abs/2011.11635 (2020) - Matej Petkovic, Dragi Kocev, Blaz Skrlj, Saso Dzeroski:
Ensemble- and Distance-Based Feature Ranking for Unsupervised Learning. CoRR abs/2011.11679 (2020) - Varnith Chordia, Vijay Kumar B. G:
Large Scale Multimodal Classification Using an Ensemble of Transformer Models and Co-Attention. CoRR abs/2011.11735 (2020)
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