TFIDF meets deep document representation : a re-visit of co-training for text classification by Chen, Zhiwei

“…Many text classification tasks face the challenge of lack of sufficient la- belled data. Co-training algorithm is a candidate solution, which learns from both labeled and unlabelled data for better classification accuracy. …”
Get full text

Empirical comparison of bagging-based ensemble classifiers by Suganthan, P. N., Ye, Ren

“…This paper compares empirically four bagging-based ensemble classifiers, namely the ensemble adaptive neuro-fuzzy inference system (ANFIS), the ensemble support vector machine (SVM), the ensemble extreme learning machine (ELM) and the random forest. The comparison of these four ensemble classifiers is novel because it has not been reported in the existing literature. …”
Get full text
Get full text
Get full text

Digitalization, New Media, and Education for Sustainable Development / by Keller, Lars, editor 656283, Michelsen, Gerd, 1948-, editor 656284, Dür, Martin, 1974-, editor 656285, Bachri, Syamsul, 1983-, editor 656286, Zint, Michaela T. (Michaela Theresia), editor 656287, IGI Global (Online service) 631983

Get full text

A review of reporting quality in case-control studies of pancreatic cancer by MacCarthy, A, MacCarthy, A, Dhiman, P, Dhiman, P, Kirtley, S, Kirtley, S, Logullo, P, Logullo, P, Copsey, B, Copsey, B, Collins, G, Collins, G

“…Each study was scored by both a researcher and a statistician using a reporting adherence form based on the STROBE checklist for case-control studies. -- (1) von Elm E, Altman DG, Egger M, et al. The Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) Statement: guidelines for reporting observational studies. …”

Boundary-aware feature propagation for scene segmentation by Ding, Henghui, Jiang, Xudong, Liu, Ai Qun, Thalmann, Nadia Magnenat, Wang, Gang

“…The proposed BFP is capable of splitting the feature propagation into a set of semantic groups via building strong connections among the same segment region but weak connections between different segment regions. Without bells and whistles, our approach achieves new state-of-the-art segmentation performance on three challenging semantic segmentation datasets, i.e., PASCAL-Context, CamVid, and Cityscapes.…”
Get full text

Toward achieving robust low-level and high-level scene parsing by Shuai, Bing, Ding, Henghui, Liu, Ting, Wang, Gang, Jiang, Xudong

“…Extensive experimental studies justify each contribution separately. Without bells and whistles, EFCN achieves state-of-the-arts on segmentation datasets of ADE20K, Pascal Context, SUN-RGBD and Pascal VOC 2012.…”
Get full text

Real-time facial expression recognition system by Xu, Meng Yao

“…To implement the face expression recognition, histogram-of-oriented-gradient (HOG) based object detector, active shape model (ASM) and extreme learning machines (ELM) algorithms are used in this project. The real-time recognition system could locate face regions, extract facial features and recognise basic human expressions that could be considered as an important study or exploration for the future driving safety enhancement.…”
Get full text

Biosignals-based driver’s awareness/emotion monitoring for future car design by Yao, Xibing

“…The aim of this project is to design experiments to obtain and compare the test accuracy of ELM in simulated driving and real driving. As well as to test the performance of artifact removal based on ICA in simulated driving and real driving. …”
Get full text

Build a Large Language Model (From Scratch) / by Raschka, Sebastian, author 656094

Get full text
Get full text

Raindrop removal from single image by Song, Rongzihan

“…For faster processing of images for surveillance, an Extreme Learning Machining(ELM) method is also used. It can classify these surveillance images into two parts: degraded images and non-degraded images. …”
Get full text

Effect of contextual information in human action recognition in videos by Koh, Hong Wei

“…The first phase of the project is to extract features from the videos using log covariance matrix with Support Vector Machine (SVM) and Extreme Learning Machine (ELM) as the classifiers to discriminate the actions. …”
Get full text

Mapping the Unseen: In Vivo CEST-MRI of Creatine Reveals Improved Cardiac Energetics in Subjects with Obesity Following Bariatric Surgery by Yurista, Salva R., Chen, Shi, Eder, Robert A., Garrett, Thomas, Butsch, W. S., Aminian, Ali, Tang, W. H. W., Farrar, Christian T., Gee, Denise, Abel, E. D., Das, Saumya, Nguyen, Christopher T.

Get full text

Improved virtual keyboard design for P300-based brain-computer interface by Tay, Abel Ping Liang.

Get full text

Ensemble neural networks with input optimization for flood forecasting by Mohd Khairudin, Nazli, Mustapha, Norwati, Mohd Aris, Teh Noranis, Zolkepli, Maslina

“…This paper proposed an ensemble of neural networks for long-term flood forecasting that combine the output of backpropagation neural network (BPNN) and extreme learning machine (ELM). The proposed ensemble neural networks model has been applied towards the rainfall data from eight rainfall stations of Kelantan River Basin to forecast the water level of Kuala Krai. …”
Get full text

Discrete wavelet transform coefficients for emotion recognition from EEG signals by Ser, Wee, Huang, Guang-Bin, Yohanes, Rendi E. J.

“…Two classifiers were used: Extreme Learning Machine (ELM) and Support Vector Machine (SVM). Experimental results confirmed that the proposed DWT coefficients method showed improvement of performance compared to previous methods.…”
Get full text
Get full text

Near-zero environmental impact aircraft by Prashanth, Prakash, Elmourad, Jad, Grobler, Carla, Isaacs, Stewart, Zahid, Syed Shayan, Abel, James, Falter, Christoph, Fritz, Thibaud, Allroggen, Florian, Sabnis, Jayant S., Eastham, Sebastian D., Speth, Raymond L., Barrett, Steven R. H.

Get full text

A novel low-velocity impact region identification method for cantilever beams using a support vector machine by Wang, Fengde, Kang, Yongtian, Xiao, Wensheng, Li, Changjiang, Liu, Qi

“…Through the comparative study, it is found that the recognition rate of SVM is higher than that of the probabilistic neural network (PNN) and extreme learning machine (ELM) for low-velocity impact area recognition of cantilever beams. …”
Get full text

Mujeres a la fuga: narrativa del viaje como vehículo de resistencia para las mujeres en tránsito por México = Women on the run: narrative of the journey as a vehicle of resistance... by López, María E., Díaz de León, Alejandra, Castro Sam, Ana Sabina

“…Las mujeres, muchas de ellas al cargo de sus hijos, surgen en el relato como sujetos interesantes atravesados por múltiples y cambiantes realidades, con autonomía, agencia y subjetividad política. …”
Get full text

Universal machine learning classifier using extreme learning machines by Chen, Jinnan

“…By using different scales of datasets, we could see the better performance of the proposed classifier and compared with the results of other popular algorithms, so the advantage of the ELM-based universal classifier could be demonstrated. …”
Get full text

Rupture and variable coupling behavior of the Mentawai segment of the Sunda megathrust during the supercycle culmination of 1797 to 1833 by Philibosian, Belle, Sieh, Kerry, Avouac, Jean-Philippe, Natawidjaja, Danny H., Chiang, Hong-Wei, Wu, Chung-Che, Perfettini, Hugo, Shen, Chuan-Chou, Daryono, Mudrik R., Suwargadi, Bambang W.

Get full text
Get full text