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检索条件"机构=Dep. Of Computer Science and Technology"

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Preventing Overfitting on Noisy Labels Through Adaptive Checkpointing 10

Preventing Overfitting on Noisy Labels Through Adaptive Chec...

引用

10th International Conference on Signal Processing and Intelligent Systems, ICSPIS 2024

作者： Azizian, Aref Ahmadian, Rouhollah Ghatee, Mehdi Shamsi, Mostafa Amirkabir University of Technology Dep. of Math. and Computer Science Tehran Iran

ISBN: (纸本)9798331532543

Overfitting and the presence of noisy labels are significant challenges in the training of machine learning models, particularly in complex datasets. This paper introduces a novel checkpointing method designed to mitigate overfitting while maintaining model calibration in the presence of noise. Our approach leverages the entropy of the two largest predicted probabilities from the model's output to determine when to save the model during training. This entropy-based criterion allows for effective checkpointing without necessitating a separate validation set. We evaluate our method across various datasets characterized by different noise levels and model architectures. The results demonstrate that our entropy-based checkpointing offers a more robust solution for managing model performance during training. This work contributes to the ongoing efforts to enhance model reliability in real-world applications where data imperfections are prevalent. © 2024 IEEE.

关键词： Entropy-Based Metric Noisy Labels Overfitting Prevention

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On the classification of weather based on the production of photovoltaic installations 24

On the classification of weather based on the production of ...

引用

24th IEEE International Conference on Data Mining Workshops, ICDMW 2024

作者： Parczyk, Pawel Puslecki, Tobiasz Burduk, Robert Wroclaw University of Science and Technology Dep. of Systems and Computer Networks Wroclaw Poland

ISBN: (纸本)9798331530631

In recent years, there has been an energy transition in which fossil fuel-fired power plants are being replaced by renewable energy sources such as photovoltaics. While the influence of factors such as location and method of installation or the sun's position above the horizon is deterministic, the weather factor is rather random. Weather data can be easily obtained from nearby weather stations, but some weather phenomena are so dynamic that data obtained in this way can become useless. When considering the problem of classifying weather conditions based on production data of photovoltaic installations, we propose two new features extracted from the production data that describe the overall level of sunshine and the variability of sunlight. Three supervised learning methods were used to classify the dataset: CNN, Random Forest classifier and Decision Tree Classifier. Reference values were obtained by generating classification results from the raw output and compared with those generated from the two new features. The experiments showed a statistically significant advantage for the models fitted to the data extended with the new features. © 2024 IEEE.

关键词： Photovoltaic (PV) Renewable Energy Sources (RES) Weather Classification

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A comparative study to obtain an adequate model in prediction of electricity requirements for a given future period

A comparative study to obtain an adequate model in predictio...

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2018 International Iraqi Conference on Engineering technology and its Applications, IICETA 2018

作者： Ulkareem, Maysaa Abd Awadh, Wid Akeel Alasady, Ali Salah Dep. of Computer Information System College of Computer Science and Information Technology University of Basrah Iraq

ISBN: (纸本)9781538678589

Recent years have seen an increasing interest in providing accurate prediction models for electrical energy consumption. In Smart Grids, energy consumption optimization is critical to enhance power grid reliability, and avoid supply-demand mismatches. Additional economic and environmental benefits can be obtained if a proper and reliable description and forecast of energy absorption is available. This research presents fits for neural network model, and comparative resulting forecasts with those obtained from Box- Jenkins Method. We use time series data of monthly electrical energy consumption, into Basra city (Iraq) from 2007-2016, to perform a comparative. The result of the data analysis show that the proper and efficient model for representing time series data is the multiplicative seasonal model of order: SARIMA (3, 1, 3) × (0, 1, 1). According to this model the Research forecast the monthly electricity consumption for January 2017 to December 2018. As for application, Box-Jenkins Method has given more appropriate forecasts than those given by Back propagation artificial neural network. We used Minitab program in the statistical aspect and Alyuda program in the neural network aspect. © 2018 IEEE.

关键词： Forecasting

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Ensemble SVM for imbalanced data and missing values in postoperative risk management

Ensemble SVM for imbalanced data and missing values in posto...

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2013 IEEE 15th International Conference on e-Health Networking, Applications and Services, Healthcom 2013

作者： Zieba, Maciej Swiatek, Jerzy Wroclaw University of Technology Dep. of Computer Science and Management Institute of Informatics Poland

ISBN: (纸本)9781467358019

In this work, we propose the ensemble SVM that solves the problem of missing values of attributes and the imbalanced data phenomenon in the domain of postoperative risk management. Contrary to the other approaches the our solution effectively deals with the problems of high percentage of unknown values of the features. The problem of imbalanced data is solved by applying the cost-sensitive SVM as a base classifier of an ensemble, The quality of the proposed classifier is examined on a real-life dataset. © 2013 IEEE.

关键词： Classification (of information)

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Applying web mining techniques for constructing webometrics ranking early warning system

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2012 2nd International Conference on Materials science and Information technology, MSIT 2012

作者： Hsieh, Shu-Ming Lo, Ssu-An Hsu, Chiun-Chieh Chen, Da-Ren Dep. Computer Science and Information Engineering Hwa Hsia Institute of Technology Taipei Taiwan Dep. Information Management National Taiwan University of Science and Technology Taiwan Dep. Information Management Hwa Hsia Institute of Technology Taipei Taiwan

ISBN: (纸本)9783037854389

The management of university web sites is becoming more critical than before due to the rapid growth of the population dep.ndent on the world wide web as the most important (if not the only) information source. A university can spread its research outcomes and education achievements through its web site, and consequently gain visibility and influence from the web population. Webometrics Ranking of World Universities (WR) proposed by Centre for Scientific Information and Documentation (CINDOC-CSIC), which ranks the university web sites, has obtained much attention recently. The rankings of WR are well recognized as an important index for universities willing to promote themselves by the internet technology. In this paper, we proposed WRES as an early warning system for Webometrics Rankings. WRES gathers the WR indices from the WWW automatically in flexible periods, and provides useful information in real time for the managers of university web sites. If the WR ranking of an institution is below the expected position according to their academic performance, university authorities should reconsider their web policy, by promoting substantial increases of the volume and quality of their electronic publications. Besides, the web site manages may adopt effective approaches to promote their WR rankings according to the hints given by WRES. © (2012) Trans Tech Publications, Switzerland.

关键词： Websites

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Novel cloud service for improving world universities ranking

Novel cloud service for improving world universities ranking

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9th International Conference on Information technology, ITNG 2012

作者： Hsieh, Shu-Ming Lo, Suu-An Hsu, Chiun-Chieh Lin, Wei-Chao Dep. Computer Science and Information Engineering Hwa Hsia Institute of Technology Taipei Taiwan Dep. Information Management National Taiwan University of Science and Technology Taipei Taiwan

ISBN: (纸本)9780769546544

The Internet has emerged to be an effective platform for world universities to share their academic outcomes and to show their influence and contribution via constructing rich and easy-to-access web sites. At the same time, Webometrics Ranking of World Universities (WR), proposed by Centre for Scientific Information and Documentation (CSIC), ranks the world universities by the quantity of digital documents available on their web sites and the quality of the web pages measured by the incoming hyperlinks. Therefore, WR is currently recognized as an important index and opportunity for universities willing to promote themselves by the Internet technology. In this paper, we propose a novel cloud-based information providing system for Webometrics Rankings which employs web mining techniques to gather the WR indices from the Internet automatically, and provides useful information in real time for the managers of university web sites. The proposed system is dep.oyed on Microsoft Azure cloud platform in order to give up-to-data and deeper insights of the WR ranking indicators for its users. It utilizes the scalable computation and storage capability of the cloud platform to continually gather the WR index data from the Internet. The proposed system is designed with architecture suitable for cloud-based application such that the period to thoroughly update the WR ranking data is shortened from six months to be within one week. The proposed service model provides a paradigm for constructing cloud-based service of information providing applications. © 2012 IEEE.

关键词： Search engines

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The design of video door phone and control system for home secure applications

The design of video door phone and control system for home s...

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2011 5th International Conference on Innovative Mobile and Internet Services in Ubiquitous Computing, IMIS 2011

作者： Chang, Ching-Lung Tsai, Han-Yu Dep. of Computer Science and Info. Engineering National Yunlin University of Science and Technology Taiwan

ISBN: (纸本)9780769543727

With the wide acceptance and development of the Internet, it is trend to integrate all of services into Internet. At the same time, the fast development of communication technology that is evolution from narrowband dial-up networks to current broadband networks, from fixed PSTN phone to mobile phone and from wired network to wireless network. In the visible future, the communication will be converged to IP centric networks to come up pervasive/ubiquitous network environments. In this paper, we integrate the SIP protocol, ZigBee networks, video/audio streaming, and remote control to realize a video door phone system and remote home appliance control, to enhance the home secure environment. At the same time, a low-complexity XOR-based FEC packet loss recovery scheme is developed to reduce the packet loss impact and to improve the video playback quality in client side. © 2011 IEEE.

关键词： Remote control

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QoS-based unequal frame protection for video streaming

QoS-based unequal frame protection for video streaming

引用

2010 International computer Symposium, ICS 2010

作者： Chang, Ching-Lung Kang, Huan-Yao Dep. of Computer Science and Info. Engineering National Yunlin University of Science and Technology Taiwan

ISBN: (纸本)9781424476404

Following with the advancements in digitization technology and broadband communication technology, real-time video streaming service has become an essential one for next generation Internet. When transmitting compressed video across the Internet, however, one of the main challenges is packet error/loss. High coding dep.ndencies among video frames suffer from vulnerability to packet loss, which impacts the playback quality of video stream. Losing an important frame may cause a set of frames loss or damage as well. In this paper, we propose an effective important frame decision scheme in which the playback quality is considered. The results of this paper can be applied to the unequal frame protection scheme which targets to improve the video playback quality with minimal frame protection overhead. ©2010 IEEE.

关键词： Video streaming

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Towards improving trust in context-aware systems by displaying system confidence 05

Towards improving trust in context-aware systems by displayi...

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7th International Conference on Human computer Interaction with Mobile Devices and Services, MobileHCI 05

作者： Antifakos, Stavros Kern, Nicky Schiele, Bernt Schwaninger, Adrian Dep. of Computer Science ETH Zurich Switzerland Dep. of Computer Science Darmstadt University of Technology Germany Max Planck Institute for Biological Cybernetics 72076 Tübingen Germany

ISBN: (纸本)1595930892

For automatic or context-aware systems a major issue is user trust, which is to a large extent determined by system reliability. For systems based on sensor input which are inherently uncertain or even uncomplete there is little hope that they will ever be perfectly reliable. In this paper we test the hypothesis if explicitly displaying the current confidence of the system increases the usability of such systems. For the example of a context-aware mobile phone, the experiments show that displaying confidence information increases the user's trust in the system. Copyright 2005 ACM.

关键词： User interfaces

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Eye detection based on skin color analysis with different poses under varying illumination environment

Eye detection based on skin color analysis with different po...

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5th International Conference on Genetic and Evolutionary Computing, ICGEC2011

作者： Huang, Deng-Yuan Lin, Ta-Wei Hu, Wu-Chih Chen, Mu-Song Dep. of Electrical Engineering Dayeh University Changhua Taiwan Dep. of Computer Science and Information Engineering National Penghu University of Science and Technology Penghu Taiwan

ISBN: (纸本)9780769544496

In this paper, we propose a method of eye detection based on skin color analysis under varying illumination. The proposed method consists of several phases, including color conversion, skin color segmentation and face mask calculation, facial feature extraction and eye candidate determination, and detection of human eyes. To eliminate the effect of lighting change on the performance of eye detection, color conversion is first performed. Face mask calculation based on skin color segmentation is then carried out to reduce the possible searching region of human eyes. Eye candidates detected using facial features are used to define the possible human eyes. Human eyes are thus detected by the geometric features of gravity and spatial centers for these eye candidates. Results show that the proposed method works well for faces with different poses and multiple faces under varying illumination. The eye detection time of 21.8 ms is achieved for an image of size 213×320 pixels, indicating computational efficiency of the proposed system. © 2011 IEEE.

关键词： Computational efficiency

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