Hits ?▲ |
Authors |
Title |
Venue |
Year |
Link |
Author keywords |
17 | Zhongxing Yu, Matias Martinez, Benjamin Danglot, Thomas Durieux, Martin Monperrus |
Alleviating patch overfitting with automatic test generation: a study of feasibility and effectiveness for the Nopol repair system. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Empir. Softw. Eng. ![In: Empir. Softw. Eng. 24(1), pp. 33-67, 2019. The full citation details ...](Pics/full.jpeg) |
2019 |
DBLP DOI BibTeX RDF |
|
17 | Rafael A. García Leiva, Antonio Fernández Anta, Vincenzo Mancuso, Paolo Casari |
A Novel Hyperparameter-Free Approach to Decision Tree Construction That Avoids Overfitting by Design. ![Search on Bibsonomy](Pics/bibsonomy.png) |
IEEE Access ![In: IEEE Access 7, pp. 99978-99987, 2019. The full citation details ...](Pics/full.jpeg) |
2019 |
DBLP DOI BibTeX RDF |
|
17 | Cuong Ha, Van-Dang Tran, Ngo Van Linh 0001, Khoat Than |
Eliminating overfitting of probabilistic topic models on short and noisy text: The role of dropout. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Int. J. Approx. Reason. ![In: Int. J. Approx. Reason. 112, pp. 85-104, 2019. The full citation details ...](Pics/full.jpeg) |
2019 |
DBLP DOI BibTeX RDF |
|
17 | Qi Xu, Ming Zhang 0018, Zonghua Gu 0001, Gang Pan 0001 |
Overfitting remedy by sparsifying regularization on fully-connected layers of CNNs. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Neurocomputing ![In: Neurocomputing 328, pp. 69-74, 2019. The full citation details ...](Pics/full.jpeg) |
2019 |
DBLP DOI BibTeX RDF |
|
17 | Vincent François-Lavet, Guillaume Rabusseau, Joelle Pineau, Damien Ernst, Raphael Fonteneau |
On Overfitting and Asymptotic Bias in Batch Reinforcement Learning with Partial Observability. ![Search on Bibsonomy](Pics/bibsonomy.png) |
J. Artif. Intell. Res. ![In: J. Artif. Intell. Res. 65, pp. 1-30, 2019. The full citation details ...](Pics/full.jpeg) |
2019 |
DBLP DOI BibTeX RDF |
|
17 | Hasan Asy'ari Arief, Ulf Geir Indahl, Geir-Harald Strand, Håvard Tveite |
Addressing Overfitting on Pointcloud Classification using Atrous XCRF. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CoRR ![In: CoRR abs/1902.03088, 2019. The full citation details ...](Pics/full.jpeg) |
2019 |
DBLP BibTeX RDF |
|
17 | Jayadev Acharya, Ananda Theertha Suresh |
Optimal multiclass overfitting by sequence reconstruction from Hamming queries. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CoRR ![In: CoRR abs/1908.03156, 2019. The full citation details ...](Pics/full.jpeg) |
2019 |
DBLP BibTeX RDF |
|
17 | Saswat Padhi, Todd D. Millstein, Aditya V. Nori, Rahul Sharma 0001 |
Overfitting in Synthesis: Theory and Practice (Extended Version). ![Search on Bibsonomy](Pics/bibsonomy.png) |
CoRR ![In: CoRR abs/1905.07457, 2019. The full citation details ...](Pics/full.jpeg) |
2019 |
DBLP BibTeX RDF |
|
17 | Shaeke Salman, Xiuwen Liu |
Overfitting Mechanism and Avoidance in Deep Neural Networks. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CoRR ![In: CoRR abs/1901.06566, 2019. The full citation details ...](Pics/full.jpeg) |
2019 |
DBLP BibTeX RDF |
|
17 | Roman Werpachowski, András György 0001, Csaba Szepesvári |
Detecting Overfitting via Adversarial Examples. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CoRR ![In: CoRR abs/1903.02380, 2019. The full citation details ...](Pics/full.jpeg) |
2019 |
DBLP BibTeX RDF |
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17 | Peter L. Bartlett, Philip M. Long, Gábor Lugosi, Alexander Tsigler |
Benign Overfitting in Linear Regression. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CoRR ![In: CoRR abs/1906.11300, 2019. The full citation details ...](Pics/full.jpeg) |
2019 |
DBLP BibTeX RDF |
|
17 | Ruicheng Feng, Jinjin Gu, Yu Qiao 0001, Chao Dong |
Suppressing Model Overfitting for Image Super-Resolution Networks. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CoRR ![In: CoRR abs/1906.04809, 2019. The full citation details ...](Pics/full.jpeg) |
2019 |
DBLP BibTeX RDF |
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17 | Xingyou Song, Yiding Jiang, Stephen Tu, Yilun Du, Behnam Neyshabur |
Observational Overfitting in Reinforcement Learning. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CoRR ![In: CoRR abs/1912.02975, 2019. The full citation details ...](Pics/full.jpeg) |
2019 |
DBLP BibTeX RDF |
|
17 | Vitaly Feldman, Roy Frostig, Moritz Hardt |
The advantages of multiple classes for reducing overfitting from test set reuse. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CoRR ![In: CoRR abs/1905.10360, 2019. The full citation details ...](Pics/full.jpeg) |
2019 |
DBLP BibTeX RDF |
|
17 | Ben Adlam, Charles Weill, Amol Kapoor |
Investigating Under and Overfitting in Wasserstein Generative Adversarial Networks. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CoRR ![In: CoRR abs/1910.14137, 2019. The full citation details ...](Pics/full.jpeg) |
2019 |
DBLP BibTeX RDF |
|
17 | Thibaud Ehret, Axel Davy, Pablo Arias 0001, Gabriele Facciolo |
Joint demosaicing and denoising by overfitting of bursts of raw images. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CoRR ![In: CoRR abs/1905.05092, 2019. The full citation details ...](Pics/full.jpeg) |
2019 |
DBLP BibTeX RDF |
|
17 | Ryan Webster, Julien Rabin, Loïc Simon, Frédéric Jurie |
Detecting Overfitting of Deep Generative Networks via Latent Recovery. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CoRR ![In: CoRR abs/1901.03396, 2019. The full citation details ...](Pics/full.jpeg) |
2019 |
DBLP BibTeX RDF |
|
17 | Becks Simpson, Francis Dutil, Yoshua Bengio, Joseph Paul Cohen |
GradMask: Reduce Overfitting by Regularizing Saliency. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CoRR ![In: CoRR abs/1904.07478, 2019. The full citation details ...](Pics/full.jpeg) |
2019 |
DBLP BibTeX RDF |
|
17 | Takumi Saikawa, Quan Huu Cap, Satoshi Kagiwada, Hiroyuki Uga, Hitoshi Iyatomi |
AOP: An Anti-overfitting Pretreatment for Practical Image-based Plant Diagnosis. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CoRR ![In: CoRR abs/1911.10727, 2019. The full citation details ...](Pics/full.jpeg) |
2019 |
DBLP BibTeX RDF |
|
17 | Zeju Li, Konstantinos Kamnitsas, Ben Glocker |
Overfitting of neural nets under class imbalance: Analysis and improvements for segmentation. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CoRR ![In: CoRR abs/1907.10982, 2019. The full citation details ...](Pics/full.jpeg) |
2019 |
DBLP BibTeX RDF |
|
17 | Frances Ann Hubis, Wentao Wu 0001, Ce Zhang 0001 |
Quantitative Overfitting Management for Human-in-the-loop ML Application Development with ease.ml/meter. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CoRR ![In: CoRR abs/1906.00299, 2019. The full citation details ...](Pics/full.jpeg) |
2019 |
DBLP BibTeX RDF |
|
17 | Satrajit Chatterjee, Alan Mishchenko |
Circuit-Based Intrinsic Methods to Detect Overfitting. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CoRR ![In: CoRR abs/1907.01991, 2019. The full citation details ...](Pics/full.jpeg) |
2019 |
DBLP BibTeX RDF |
|
17 | Partha P. Mitra |
Understanding overfitting peaks in generalization error: Analytical risk curves for l2 and l1 penalized interpolation. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CoRR ![In: CoRR abs/1906.03667, 2019. The full citation details ...](Pics/full.jpeg) |
2019 |
DBLP BibTeX RDF |
|
17 | Yang Jiang, Cong Zhao, Lei Pang |
Neural Architecture Refinement: A Practical Way for Avoiding Overfitting in NAS. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CoRR ![In: CoRR abs/1905.02341, 2019. The full citation details ...](Pics/full.jpeg) |
2019 |
DBLP BibTeX RDF |
|
17 | Benyamin Ghojogh, Mark Crowley 0001 |
The Theory Behind Overfitting, Cross Validation, Regularization, Bagging, and Boosting: Tutorial. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CoRR ![In: CoRR abs/1905.12787, 2019. The full citation details ...](Pics/full.jpeg) |
2019 |
DBLP BibTeX RDF |
|
17 | He Ye, Jian Gu, Matias Martinez, Thomas Durieux, Martin Monperrus |
Automated Classification of Overfitting Patches with Statically Extracted Code Features. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CoRR ![In: CoRR abs/1910.12057, 2019. The full citation details ...](Pics/full.jpeg) |
2019 |
DBLP BibTeX RDF |
|
17 | Mansoor Sheikh, A. C. C. Coolen |
Analysis of overfitting in the regularized Cox model. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CoRR ![In: CoRR abs/1904.06632, 2019. The full citation details ...](Pics/full.jpeg) |
2019 |
DBLP BibTeX RDF |
|
17 | Richard C. Gerum, André Erpenbeck, Patrick Krauss, Achim Schilling |
Sparsity through evolutionary pruning prevents neuronal networks from overfitting. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CoRR ![In: CoRR abs/1911.10988, 2019. The full citation details ...](Pics/full.jpeg) |
2019 |
DBLP BibTeX RDF |
|
17 | Nan Lu, Tianyi Zhang, Gang Niu 0001, Masashi Sugiyama |
Mitigating Overfitting in Supervised Classification from Two Unlabeled Datasets: A Consistent Risk Correction Approach. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CoRR ![In: CoRR abs/1910.08974, 2019. The full citation details ...](Pics/full.jpeg) |
2019 |
DBLP BibTeX RDF |
|
17 | Rafael A. García Leiva, Antonio Fernández Anta, Vincenzo Mancuso, Paolo Casari |
A Novel Hyperparameter-free Approach to Decision Tree Construction that Avoids Overfitting by Design. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CoRR ![In: CoRR abs/1906.01246, 2019. The full citation details ...](Pics/full.jpeg) |
2019 |
DBLP BibTeX RDF |
|
17 | Daniil Merkulov, Ivan V. Oseledets |
Empirical study of extreme overfitting points of neural networks. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CoRR ![In: CoRR abs/1906.06295, 2019. The full citation details ...](Pics/full.jpeg) |
2019 |
DBLP BibTeX RDF |
|
17 | Daniel J. Vasicek |
Artificial intelligence and machine learning: Practical aspects of overfitting and regularization. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Inf. Serv. Use ![In: Inf. Serv. Use 39(4), pp. 281-289, 2019. The full citation details ...](Pics/full.jpeg) |
2019 |
DBLP DOI BibTeX RDF |
|
17 | Shazia Akbar, Mohammad Peikari, Sherine Salama, Sharon Nofech-Mozes, Anne L. Martel |
The transition module: a method for preventing overfitting in convolutional neural networks. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Comput. methods Biomech. Biomed. Eng. Imaging Vis. ![In: Comput. methods Biomech. Biomed. Eng. Imaging Vis. 7(3), pp. 260-265, 2019. The full citation details ...](Pics/full.jpeg) |
2019 |
DBLP DOI BibTeX RDF |
|
17 | Saswat Padhi, Todd D. Millstein, Aditya V. Nori, Rahul Sharma 0001 |
Overfitting in Synthesis: Theory and Practice. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CAV (1) ![In: Computer Aided Verification - 31st International Conference, CAV 2019, New York City, NY, USA, July 15-18, 2019, Proceedings, Part I, pp. 315-334, 2019, Springer, 978-3-030-25539-8. The full citation details ...](Pics/full.jpeg) |
2019 |
DBLP DOI BibTeX RDF |
|
17 | Ren C. Luo, Hsien Chang Lin |
Coping with Overfitting Problems of Image Caption Models for Service Robotics Applications. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ICPS ![In: IEEE International Conference on Industrial Cyber Physical Systems, ICPS 2019, Taipei, Taiwan, May 6-9, 2019, pp. 815-820, 2019, IEEE, 978-1-5386-8500-6. The full citation details ...](Pics/full.jpeg) |
2019 |
DBLP DOI BibTeX RDF |
|
17 | Thuy Nguyen-Thanh, Giang T. C. Tran |
Vietnamese Sentiment Analysis for Hotel Review based on Overfitting Training and Ensemble Learning. ![Search on Bibsonomy](Pics/bibsonomy.png) |
SoICT ![In: Proceedings of the Tenth International Symposium on Information and Communication Technology, Ha Noi, Ha Long Bay, Vietnam, December 4-6, 2019., pp. 147-153, 2019, ACM, 978-1-4503-7245-9. The full citation details ...](Pics/full.jpeg) |
2019 |
DBLP DOI BibTeX RDF |
|
17 | Kenny H. Cha, Nicholas Petrick, Aria Pezeshk, Christian G. Graff, Diksha Sharma, Andreu Badal, Aldo Badano, Berkman Sahiner |
Reducing overfitting of a deep learning breast mass detection algorithm in mammography using synthetic images. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Medical Imaging: Computer-Aided Diagnosis ![In: Medical Imaging 2019: Computer-Aided Diagnosis, San Diego, California, United States, 16-21 February 2019, pp. 1095004, 2019, SPIE. The full citation details ...](Pics/full.jpeg) |
2019 |
DBLP DOI BibTeX RDF |
|
17 | Joseph Rynkiewicz |
On overfitting of multilayer perceptrons for classification. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ESANN ![In: 27th European Symposium on Artificial Neural Networks, ESANN 2019, Bruges, Belgium, April 24-26, 2019, 2019. The full citation details ...](Pics/full.jpeg) |
2019 |
DBLP BibTeX RDF |
|
17 | Marthinus W. Theunissen, Marelie H. Davel, Etienne Barnard |
Insights regarding overfitting on noise in deep learning. ![Search on Bibsonomy](Pics/bibsonomy.png) |
FAIR ![In: Proceedings of the South African Forum for Artificial Intelligence Research, Cape Town, South Africa, 4-6 December, 2019., pp. 49-63, 2019, CEUR-WS.org. The full citation details ...](Pics/full.jpeg) |
2019 |
DBLP BibTeX RDF |
|
17 | Jian Xiong, Kai Zhang 0024, Hao Zhang |
A Vibrating Mechanism to Prevent Neural Networks from Overfitting. ![Search on Bibsonomy](Pics/bibsonomy.png) |
IWCMC ![In: 15th International Wireless Communications & Mobile Computing Conference, IWCMC 2019, Tangier, Morocco, June 24-28, 2019, pp. 1737-1742, 2019, IEEE, 978-1-5386-7747-6. The full citation details ...](Pics/full.jpeg) |
2019 |
DBLP DOI BibTeX RDF |
|
17 | Jianming Wu, Zhiguang Zhou, Yanan Wang 0002, Yi Li, Xin Xu, Yusuke Uchida |
Multi-feature and Multi-instance Learning with Anti-overfitting Strategy for Engagement Intensity Prediction. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ICMI ![In: International Conference on Multimodal Interaction, ICMI 2019, Suzhou, China, October 14-18, 2019, pp. 582-588, 2019, ACM, 978-1-4503-6860-5. The full citation details ...](Pics/full.jpeg) |
2019 |
DBLP DOI BibTeX RDF |
|
17 | Yoshimasa Kubo, Thomas Trappenberg |
Mitigating Overfitting Using Regularization to Defend Networks Against Adversarial Examples. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Canadian AI ![In: Advances in Artificial Intelligence - 32nd Canadian Conference on Artificial Intelligence, Canadian AI 2019, Kingston, ON, Canada, May 28-31, 2019, Proceedings, pp. 400-405, 2019, Springer, 978-3-030-18304-2. The full citation details ...](Pics/full.jpeg) |
2019 |
DBLP DOI BibTeX RDF |
|
17 | Lina Xu, Nuno Pombo, Ivan Miguel Pires, Nuno M. Garcia |
Is the Overfitting in a Neural Network a Reliable Model for the Recognition of Activities of Daily Living? ![Search on Bibsonomy](Pics/bibsonomy.png) |
GOODTECHS ![In: Proceedings of the 5th EAI International Conference on Smart Objects and Technologies for Social Good, GoodTechs 2019, Valencia, Spain, September 25-27, 2019, pp. 223-226, 2019, ACM, 978-1-4503-6261-0. The full citation details ...](Pics/full.jpeg) |
2019 |
DBLP DOI BibTeX RDF |
|
17 | Haotian Zhang, Lin Zhang 0013, Yuan Jiang |
Overfitting and Underfitting Analysis for Deep Learning Based End-to-end Communication Systems. ![Search on Bibsonomy](Pics/bibsonomy.png) |
WCSP ![In: 11th International Conference on Wireless Communications and Signal Processing, WCSP 2019, Xi'an, China, October 23-25, 2019, pp. 1-6, 2019, IEEE, 978-1-7281-3555-7. The full citation details ...](Pics/full.jpeg) |
2019 |
DBLP DOI BibTeX RDF |
|
17 | Ryan Webster, Julien Rabin, Loïc Simon, Frédéric Jurie |
Detecting Overfitting of Deep Generative Networks via Latent Recovery. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CVPR ![In: IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2019, Long Beach, CA, USA, June 16-20, 2019, pp. 11273-11282, 2019, Computer Vision Foundation / IEEE. The full citation details ...](Pics/full.jpeg) |
2019 |
DBLP BibTeX RDF |
|
17 | Ruicheng Feng, Jinjin Gu, Yu Qiao 0001, Chao Dong |
Suppressing Model Overfitting for Image Super-Resolution Networks. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CVPR Workshops ![In: IEEE Conference on Computer Vision and Pattern Recognition Workshops, CVPR Workshops 2019, Long Beach, CA, USA, June 16-20, 2019, pp. 1964-1973, 2019, Computer Vision Foundation / IEEE. The full citation details ...](Pics/full.jpeg) |
2019 |
DBLP BibTeX RDF |
|
17 | Takumi Saikawa, Quan Huu Cap, Satoshi Kagiwada, Hiroyuki Uga, Hitoshi Iyatomi |
AOP: An Anti-overfitting Pretreatment for Practical Image-based Plant Diagnosis. ![Search on Bibsonomy](Pics/bibsonomy.png) |
IEEE BigData ![In: 2019 IEEE International Conference on Big Data (IEEE BigData), Los Angeles, CA, USA, December 9-12, 2019, pp. 5177-5182, 2019, IEEE, 978-1-7281-0858-2. The full citation details ...](Pics/full.jpeg) |
2019 |
DBLP DOI BibTeX RDF |
|
17 | Kun Wan, Shu Yang, Boyuan Feng, Yufei Ding, Lingwei Xie |
Reconciling Feature-Reuse and Overfitting in DenseNet with Specialized Dropout. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ICTAI ![In: 31st IEEE International Conference on Tools with Artificial Intelligence, ICTAI 2019, Portland, OR, USA, November 4-6, 2019, pp. 760-767, 2019, IEEE, 978-1-7281-3798-8. The full citation details ...](Pics/full.jpeg) |
2019 |
DBLP DOI BibTeX RDF |
|
17 | Taito Manabe, Koki Tomonaga, Yuichiro Shibata |
CNN Architecture for Surgical Image Segmentation Systems with Recursive Network Structure to Mitigate Overfitting. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CANDAR ![In: 2019 Seventh International Symposium on Computing and Networking, CANDAR 2019, Nagasaki, Japan, November 25-28, 2019, pp. 171-177, 2019, IEEE, 978-1-7281-4725-3. The full citation details ...](Pics/full.jpeg) |
2019 |
DBLP DOI BibTeX RDF |
|
17 | Zeju Li, Konstantinos Kamnitsas, Ben Glocker |
Overfitting of Neural Nets Under Class Imbalance: Analysis and Improvements for Segmentation. ![Search on Bibsonomy](Pics/bibsonomy.png) |
MICCAI (3) ![In: Medical Image Computing and Computer Assisted Intervention - MICCAI 2019 - 22nd International Conference, Shenzhen, China, October 13-17, 2019, Proceedings, Part III, pp. 402-410, 2019, Springer, 978-3-030-32247-2. The full citation details ...](Pics/full.jpeg) |
2019 |
DBLP DOI BibTeX RDF |
|
17 | Roman Werpachowski, András György 0001, Csaba Szepesvári |
Detecting Overfitting via Adversarial Examples. ![Search on Bibsonomy](Pics/bibsonomy.png) |
NeurIPS ![In: Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, NeurIPS 2019, December 8-14, 2019, Vancouver, BC, Canada., pp. 7856-7866, 2019. The full citation details ...](Pics/full.jpeg) |
2019 |
DBLP BibTeX RDF |
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17 | Rebecca Roelofs, Vaishaal Shankar, Benjamin Recht, Sara Fridovich-Keil, Moritz Hardt, John Miller 0001, Ludwig Schmidt |
A Meta-Analysis of Overfitting in Machine Learning. ![Search on Bibsonomy](Pics/bibsonomy.png) |
NeurIPS ![In: Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, NeurIPS 2019, December 8-14, 2019, Vancouver, BC, Canada., pp. 9175-9185, 2019. The full citation details ...](Pics/full.jpeg) |
2019 |
DBLP BibTeX RDF |
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17 | Wei Tang, Yiwen Jiang, Neng Gao, Ji Xiang, Jiahui Shen, Xiang Li 0045, Yijun Su |
Reducing Style Overfitting for Character Recognition via Parallel Neural Networks with Style to Content Connection. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ISPA/BDCloud/SocialCom/SustainCom ![In: 2019 IEEE Intl Conf on Parallel & Distributed Processing with Applications, Big Data & Cloud Computing, Sustainable Computing & Communications, Social Computing & Networking, ISPA/BDCloud/SocialCom/SustainCom 2019, Xiamen, China, December 16-18, 2019, pp. 784-791, 2019, IEEE, 978-1-7281-4328-6. The full citation details ...](Pics/full.jpeg) |
2019 |
DBLP DOI BibTeX RDF |
|
17 | Wenbo Hou, Wenhai Wang, Ruo-Ze Liu, Tong Lu |
Cropout: A General Mechanism for Reducing Overfitting on Convolutional Neural Networks. ![Search on Bibsonomy](Pics/bibsonomy.png) |
IJCNN ![In: International Joint Conference on Neural Networks, IJCNN 2019 Budapest, Hungary, July 14-19, 2019, pp. 1-8, 2019, IEEE, 978-1-7281-1985-4. The full citation details ...](Pics/full.jpeg) |
2019 |
DBLP DOI BibTeX RDF |
|
17 | Serdar Iplikci, Batuhan Bilgi, Ali Menemen, Bedri Bahtiyar |
A Novel Modification on the Levenberg-Marquardt Algorithm for Avoiding Overfitting in Neural Network Training. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ICANN (2) ![In: Artificial Neural Networks and Machine Learning - ICANN 2019: Deep Learning - 28th International Conference on Artificial Neural Networks, Munich, Germany, September 17-19, 2019, Proceedings, Part II, pp. 201-207, 2019, Springer, 978-3-030-30483-6. The full citation details ...](Pics/full.jpeg) |
2019 |
DBLP DOI BibTeX RDF |
|
17 | Matthieu Molinier, Jorma Kilpi |
Avoiding Overfitting When Applying Spectral-Spatial Deep Learning Methods on Hyperspectral Images with Limited Labels. ![Search on Bibsonomy](Pics/bibsonomy.png) |
IGARSS ![In: 2019 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2019, Yokohama, Japan, July 28 - August 2, 2019, pp. 5049-5052, 2019, IEEE, 978-1-5386-9154-0. The full citation details ...](Pics/full.jpeg) |
2019 |
DBLP DOI BibTeX RDF |
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17 | Haidong Li, Jiongcheng Li, Xiaoming Guan, Binghao Liang, Yuting Lai, Xinglong Luo |
Research on Overfitting of Deep Learning. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CIS ![In: 15th International Conference on Computational Intelligence and Security, CIS 2019, Macao, SAR, China, December 13-16, 2019, pp. 78-81, 2019, IEEE, 978-1-7281-6092-4. The full citation details ...](Pics/full.jpeg) |
2019 |
DBLP DOI BibTeX RDF |
|
17 | Vitaly Feldman, Roy Frostig, Moritz Hardt |
The advantages of multiple classes for reducing overfitting from test set reuse. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ICML ![In: Proceedings of the 36th International Conference on Machine Learning, ICML 2019, 9-15 June 2019, Long Beach, California, USA, pp. 1892-1900, 2019, PMLR. The full citation details ...](Pics/full.jpeg) |
2019 |
DBLP BibTeX RDF |
|
17 | Rebecca Roelofs |
Measuring Generalization and Overfitting in Machine Learning. ![Search on Bibsonomy](Pics/bibsonomy.png) |
|
2019 |
RDF |
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17 | Pierre Raphaël Bertrand, Jean-Louis Combes, Marie-Eliette Dury, Doha Hadouni |
Overfitting of Hurst estimators for multifractional Brownian motion: A fitting test advocating simple models. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Risk Decis. Anal. ![In: Risk Decis. Anal. 7(1-2), pp. 31-49, 2018. The full citation details ...](Pics/full.jpeg) |
2018 |
DBLP DOI BibTeX RDF |
|
17 | Li Zhang 0025, Fulin Wang, Bing Xu, Wenyu Chi, Qiongya Wang, Ting Sun |
Prediction of stock prices based on LM-BP neural network and the estimation of overfitting point by RDCI. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Neural Comput. Appl. ![In: Neural Comput. Appl. 30(5), pp. 1425-1444, 2018. The full citation details ...](Pics/full.jpeg) |
2018 |
DBLP DOI BibTeX RDF |
|
17 | Yujin Baek, Ha Young Kim |
ModAugNet: A new forecasting framework for stock market index value with an overfitting prevention LSTM module and a prediction LSTM module. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Expert Syst. Appl. ![In: Expert Syst. Appl. 113, pp. 457-480, 2018. The full citation details ...](Pics/full.jpeg) |
2018 |
DBLP DOI BibTeX RDF |
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17 | Miriam Seoane Santos, Jastin Pompeu Soares, Pedro Henriques Abreu, Hélder Araújo, João A. M. Santos |
Cross-Validation for Imbalanced Datasets: Avoiding Overoptimistic and Overfitting Approaches [Research Frontier]. ![Search on Bibsonomy](Pics/bibsonomy.png) |
IEEE Comput. Intell. Mag. ![In: IEEE Comput. Intell. Mag. 13(4), pp. 59-76, 2018. The full citation details ...](Pics/full.jpeg) |
2018 |
DBLP DOI BibTeX RDF |
|
17 | Xuan-Bach Dinh Le, Ferdian Thung, David Lo 0001, Claire Le Goues |
Overfitting in semantics-based automated program repair. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Empir. Softw. Eng. ![In: Empir. Softw. Eng. 23(5), pp. 3007-3033, 2018. The full citation details ...](Pics/full.jpeg) |
2018 |
DBLP DOI BibTeX RDF |
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17 | Panagiotis Papastamoulis |
Overfitting Bayesian mixtures of factor analyzers with an unknown number of components. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Comput. Stat. Data Anal. ![In: Comput. Stat. Data Anal. 124, pp. 220-234, 2018. The full citation details ...](Pics/full.jpeg) |
2018 |
DBLP DOI BibTeX RDF |
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17 | Jeffrey L. Andrews |
Addressing overfitting and underfitting in Gaussian model-based clustering. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Comput. Stat. Data Anal. ![In: Comput. Stat. Data Anal. 127, pp. 160-171, 2018. The full citation details ...](Pics/full.jpeg) |
2018 |
DBLP DOI BibTeX RDF |
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17 | Zhou Tao, Muzhou Hou, Chunhui Liu |
Forecasting stock index with multi-objective optimization model based on optimized neural network architecture avoiding overfitting. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Comput. Sci. Inf. Syst. ![In: Comput. Sci. Inf. Syst. 15(1), pp. 211-236, 2018. The full citation details ...](Pics/full.jpeg) |
2018 |
DBLP DOI BibTeX RDF |
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17 | Diego Aparicio, Marcos López de Prado |
How hard is it to pick the right model? MCS and backtest overfitting. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Algorithmic Finance ![In: Algorithmic Finance 7(1-2), pp. 53-61, 2018. The full citation details ...](Pics/full.jpeg) |
2018 |
DBLP DOI BibTeX RDF |
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17 | Amy Zhang 0001, Nicolas Ballas, Joelle Pineau |
A Dissection of Overfitting and Generalization in Continuous Reinforcement Learning. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CoRR ![In: CoRR abs/1806.07937, 2018. The full citation details ...](Pics/full.jpeg) |
2018 |
DBLP BibTeX RDF |
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17 | Kun Wan, Boyuan Feng, Lingwei Xie, Yufei Ding |
Reconciling Feature-Reuse and Overfitting in DenseNet with Specialized Dropout. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CoRR ![In: CoRR abs/1810.00091, 2018. The full citation details ...](Pics/full.jpeg) |
2018 |
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17 | Mikhail Belkin, Daniel Hsu 0001, Partha Mitra |
Overfitting or perfect fitting? Risk bounds for classification and regression rules that interpolate. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CoRR ![In: CoRR abs/1806.05161, 2018. The full citation details ...](Pics/full.jpeg) |
2018 |
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17 | Tomaso A. Poggio, Kenji Kawaguchi, Qianli Liao, Brando Miranda, Lorenzo Rosasco, Xavier Boix, Jack Hidary, Hrushikesh N. Mhaskar |
Theory of Deep Learning III: explaining the non-overfitting puzzle. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CoRR ![In: CoRR abs/1801.00173, 2018. The full citation details ...](Pics/full.jpeg) |
2018 |
DBLP BibTeX RDF |
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17 | Vsevolod I. Avrutskiy |
Avoiding overfitting of multilayer perceptrons by training derivatives. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CoRR ![In: CoRR abs/1802.10301, 2018. The full citation details ...](Pics/full.jpeg) |
2018 |
DBLP BibTeX RDF |
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17 | Zhongxing Yu, Matias Martinez, Benjamin Danglot, Thomas Durieux, Martin Monperrus |
Alleviating Patch Overfitting with Automatic Test Generation: A Study of Feasibility and Effectiveness for the Nopol Repair System. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CoRR ![In: CoRR abs/1810.10614, 2018. The full citation details ...](Pics/full.jpeg) |
2018 |
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17 | Dilip Arumugam, David Abel, Kavosh Asadi, Nakul Gopalan, Christopher Grimm, Jun Ki Lee, Lucas Lehnert, Michael L. Littman |
Mitigating Planner Overfitting in Model-Based Reinforcement Learning. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CoRR ![In: CoRR abs/1812.01129, 2018. The full citation details ...](Pics/full.jpeg) |
2018 |
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17 | Yubin Park, Joyce C. Ho |
PaloBoost: An Overfitting-robust TreeBoost with Out-of-Bag Sample Regularization Techniques. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CoRR ![In: CoRR abs/1807.08383, 2018. The full citation details ...](Pics/full.jpeg) |
2018 |
DBLP BibTeX RDF |
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17 | George Philipp, Jaime G. Carbonell |
The Nonlinearity Coefficient - Predicting Overfitting in Deep Neural Networks. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CoRR ![In: CoRR abs/1806.00179, 2018. The full citation details ...](Pics/full.jpeg) |
2018 |
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17 | Chiyuan Zhang, Oriol Vinyals, Rémi Munos, Samy Bengio |
A Study on Overfitting in Deep Reinforcement Learning. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CoRR ![In: CoRR abs/1804.06893, 2018. The full citation details ...](Pics/full.jpeg) |
2018 |
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17 | Sara Silva, Leonardo Vanneschi, Ana I. R. Cabral, Maria José Alves do Rio Perestrelo de Vasconcelos |
A semi-supervised Genetic Programming method for dealing with noisy labels and hidden overfitting. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Swarm Evol. Comput. ![In: Swarm Evol. Comput. 39, pp. 323-338, 2018. The full citation details ...](Pics/full.jpeg) |
2018 |
DBLP DOI BibTeX RDF |
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17 | Andrei Dmitri Gavrilov, Alex Jordache, Maya Vasdani, Jack Deng |
Preventing Model Overfitting and Underfitting in Convolutional Neural Networks. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Int. J. Softw. Sci. Comput. Intell. ![In: Int. J. Softw. Sci. Comput. Intell. 10(4), pp. 19-28, 2018. The full citation details ...](Pics/full.jpeg) |
2018 |
DBLP DOI BibTeX RDF |
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17 | Yang Cong, Ji Liu 0002, Baojie Fan, Peng Zeng 0001, Haibin Yu, Jiebo Luo |
Online Similarity Learning for Big Data with Overfitting. ![Search on Bibsonomy](Pics/bibsonomy.png) |
IEEE Trans. Big Data ![In: IEEE Trans. Big Data 4(1), pp. 78-89, 2018. The full citation details ...](Pics/full.jpeg) |
2018 |
DBLP DOI BibTeX RDF |
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17 | Andrei Dmitri Gavrilov, Alex Jordache, Maya Vasdani, Jack Deng |
Convolutional Neural Networks: Estimating Relations in the Ising Model on Overfitting. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ICCI*CC ![In: 17th IEEE International Conference on Cognitive Informatics & Cognitive Computing, ICCI*CC 2018, Berkeley, CA, USA, July 16-18, 2018, pp. 154-158, 2018, IEEE Computer Society, 978-1-5386-3360-1. The full citation details ...](Pics/full.jpeg) |
2018 |
DBLP DOI BibTeX RDF |
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17 | Jee-weon Jung, Hee-Soo Heo, Il-Ho Yang, Hye-jin Shim, Ha-Jin Yu |
Avoiding Speaker Overfitting in End-to-End DNNs Using Raw Waveform for Text-Independent Speaker Verification. ![Search on Bibsonomy](Pics/bibsonomy.png) |
INTERSPEECH ![In: Interspeech 2018, 19th Annual Conference of the International Speech Communication Association, Hyderabad, India, 2-6 September 2018., pp. 3583-3587, 2018, ISCA. The full citation details ...](Pics/full.jpeg) |
2018 |
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17 | Pedram Daee, Tomi Peltola, Aki Vehtari, Samuel Kaski |
User Modelling for Avoiding Overfitting in Interactive Knowledge Elicitation for Prediction. ![Search on Bibsonomy](Pics/bibsonomy.png) |
IUI ![In: Proceedings of the 23rd International Conference on Intelligent User Interfaces, IUI 2018, Tokyo, Japan, March 07-11, 2018, pp. 305-310, 2018, ACM. The full citation details ...](Pics/full.jpeg) |
2018 |
DBLP DOI BibTeX RDF |
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17 | Samuel Yeom, Irene Giacomelli, Matt Fredrikson, Somesh Jha |
Privacy Risk in Machine Learning: Analyzing the Connection to Overfitting. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CSF ![In: 31st IEEE Computer Security Foundations Symposium, CSF 2018, Oxford, United Kingdom, July 9-12, 2018, pp. 268-282, 2018, IEEE Computer Society, 978-1-5386-6680-7. The full citation details ...](Pics/full.jpeg) |
2018 |
DBLP DOI BibTeX RDF |
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17 | Mikhail Belkin, Daniel J. Hsu, Partha Mitra |
Overfitting or perfect fitting? Risk bounds for classification and regression rules that interpolate. ![Search on Bibsonomy](Pics/bibsonomy.png) |
NeurIPS ![In: Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, NeurIPS 2018, December 3-8, 2018, Montréal, Canada., pp. 2306-2317, 2018. The full citation details ...](Pics/full.jpeg) |
2018 |
DBLP BibTeX RDF |
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17 | Xuan-Bach Dinh Le, Ferdian Thung, David Lo 0001, Claire Le Goues |
Overfitting in semantics-based automated program repair. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ICSE ![In: Proceedings of the 40th International Conference on Software Engineering, ICSE 2018, Gothenburg, Sweden, May 27 - June 03, 2018, pp. 163, 2018, ACM, 978-1-4503-5638-1. The full citation details ...](Pics/full.jpeg) |
2018 |
DBLP DOI BibTeX RDF |
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17 | Hiroki Egawa, Yuichiro Shibata |
Storing and Compressing Video into Neural Networks by Overfitting. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CISIS ![In: Complex, Intelligent, and Software Intensive Systems - Proceedings of the 12th International Conference on Complex, Intelligent, and Software Intensive Systems, CISIS-2018, Matsue, Japan, 4-6 July 2018, pp. 615-626, 2018, Springer, 978-3-319-93658-1. The full citation details ...](Pics/full.jpeg) |
2018 |
DBLP DOI BibTeX RDF |
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17 | Geoffrey I. Webb |
Overfitting. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Encyclopedia of Machine Learning and Data Mining ![In: Encyclopedia of Machine Learning and Data Mining, pp. 947-948, 2017, Springer, 978-1-4899-7685-7. The full citation details ...](Pics/full.jpeg) |
2017 |
DBLP DOI BibTeX RDF |
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17 | Samuel Yeom, Matt Fredrikson, Somesh Jha |
The Unintended Consequences of Overfitting: Training Data Inference Attacks. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CoRR ![In: CoRR abs/1709.01604, 2017. The full citation details ...](Pics/full.jpeg) |
2017 |
DBLP BibTeX RDF |
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17 | Vincent François-Lavet, Damien Ernst, Raphael Fonteneau |
On overfitting and asymptotic bias in batch reinforcement learning with partial observability. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CoRR ![In: CoRR abs/1709.07796, 2017. The full citation details ...](Pics/full.jpeg) |
2017 |
DBLP BibTeX RDF |
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17 | Akm Ashiquzzaman, Abdul Kawsar Tushar, Md. Rashedul Islam, Jong-Myon Kim |
Reduction of Overfitting in Diabetes Prediction Using Deep Learning Neural Network. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CoRR ![In: CoRR abs/1707.08386, 2017. The full citation details ...](Pics/full.jpeg) |
2017 |
DBLP BibTeX RDF |
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17 | Pedram Daee, Tomi Peltola, Aki Vehtari, Samuel Kaski |
User Modelling for Avoiding Overfitting in Interactive Knowledge Elicitation for Prediction. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CoRR ![In: CoRR abs/1710.04881, 2017. The full citation details ...](Pics/full.jpeg) |
2017 |
DBLP BibTeX RDF |
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17 | Xu Sun 0001, Xuancheng Ren, Shuming Ma, Houfeng Wang |
meProp: Sparsified Back Propagation for Accelerated Deep Learning with Reduced Overfitting. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CoRR ![In: CoRR abs/1706.06197, 2017. The full citation details ...](Pics/full.jpeg) |
2017 |
DBLP BibTeX RDF |
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17 | Xu Sun 0001, Weiwei Sun, Shuming Ma, Xuancheng Ren, Yi Zhang 0050, Wenjie Li, Houfeng Wang |
Complex Structure Leads to Overfitting: A Structure Regularization Decoding Method for Natural Language Processing. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CoRR ![In: CoRR abs/1711.10331, 2017. The full citation details ...](Pics/full.jpeg) |
2017 |
DBLP BibTeX RDF |
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17 | Izhar Wallach, Abraham Heifets |
Most Ligand-Based Benchmarks Measure Overfitting Rather than Accuracy. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CoRR ![In: CoRR abs/1706.06619, 2017. The full citation details ...](Pics/full.jpeg) |
2017 |
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17 | Tea Tusar, Klemen Gantar, Valentin Koblar, Bernard Zenko, Bogdan Filipic |
A study of overfitting in optimization of a manufacturing quality control procedure. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Appl. Soft Comput. ![In: Appl. Soft Comput. 59, pp. 77-87, 2017. The full citation details ...](Pics/full.jpeg) |
2017 |
DBLP DOI BibTeX RDF |
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17 | Xiaoyue Feng, Yanchun Liang 0001, Xiaohu Shi, Dong Xu 0002, Xu Wang, Renchu Guan |
Overfitting Reduction of Text Classification Based on AdaBELM. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Entropy ![In: Entropy 19(7), pp. 330, 2017. The full citation details ...](Pics/full.jpeg) |
2017 |
DBLP DOI BibTeX RDF |
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17 | Robbie T. Nakatsu |
Information Visualizations Used to Avoid the Problem of Overfitting in Supervised Machine Learning. ![Search on Bibsonomy](Pics/bibsonomy.png) |
HCI (24) ![In: HCI in Business, Government and Organizations. Supporting Business - 4th International Conference, HCIBGO 2017, Held as Part of HCI International 2017, Vancouver, BC, Canada, July 9-14, 2017, Proceedings, Part II, pp. 373-385, 2017, Springer, 978-3-319-58483-6. The full citation details ...](Pics/full.jpeg) |
2017 |
DBLP DOI BibTeX RDF |
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17 | You Jin Kim, Han-Gyu Kim, Zhun Li, Ho-Jin Choi |
Avoiding Overfitting in Deep Neural Networks for Clinical Opinions Generation from General Blood Test Results. ![Search on Bibsonomy](Pics/bibsonomy.png) |
MedInfo ![In: MEDINFO 2017: Precision Healthcare through Informatics - Proceedings of the 16th World Congress on Medical and Health Informatics, Hangzhou, China, 21-25 August 2017., pp. 1274, 2017, IOS Press, 978-1-61499-829-7. The full citation details ...](Pics/full.jpeg) |
2017 |
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