作者: 不規(guī)則的跳動(dòng) 時(shí)間: 2025-3-21 22:39
Karembe F. Ahimbisibwe,Tiina Kontinene triggered by this transformation is performed based on the instance hardness (IH) measure. Also, the paper reports on how this better understanding can lead to better use of the data through a prototype selection technique.作者: 發(fā)出眩目光芒 時(shí)間: 2025-3-22 01:37 作者: Brocas-Area 時(shí)間: 2025-3-22 06:03 作者: AIL 時(shí)間: 2025-3-22 09:12 作者: Manifest 時(shí)間: 2025-3-22 15:29 作者: Manifest 時(shí)間: 2025-3-22 19:38
Conference proceedings‘‘‘‘‘‘‘‘ 2020r in high performance computing servers. The fastest versions have been obtained carrying out most of the computations in Graphics Processing Units (GPUs). The algorithms obtained have been tested in a case of automatic classification of electroencephalographic signals from patients.作者: 宿醉 時(shí)間: 2025-3-23 00:57
Xuan Lam Nguyen,Kaliappa Kalirajanwledge from experimental proteins through the use of protein contact maps. Obtained results regarding measures of structural similarity indicate that our approaches surpassed their previous ones, showing the real need to adapt the method to tackle the problem’s complexities.作者: Predigest 時(shí)間: 2025-3-23 04:27
Parallelization of an Algorithm for Automatic Classification of Medical Datar in high performance computing servers. The fastest versions have been obtained carrying out most of the computations in Graphics Processing Units (GPUs). The algorithms obtained have been tested in a case of automatic classification of electroencephalographic signals from patients.作者: Anthropoid 時(shí)間: 2025-3-23 08:20
A Multi-objective Swarm-Based Algorithm for the Prediction of Protein Structureswledge from experimental proteins through the use of protein contact maps. Obtained results regarding measures of structural similarity indicate that our approaches surpassed their previous ones, showing the real need to adapt the method to tackle the problem’s complexities.作者: 消極詞匯 時(shí)間: 2025-3-23 13:20
A Cloud Architecture for the Execution of Medical Imaging Biomarkerschitecture centred on a DevOps approach to deploying resources on demand, adjusting them based on the request of resources and the expected execution time to deal with an unplanned workload. Results presented show a low overhead and high flexibility executing a lung disease biomarker on a public cloud.作者: 神圣不可 時(shí)間: 2025-3-23 17:55 作者: 遭遇 時(shí)間: 2025-3-23 19:55
Lecture Notes in Computer Sciencehttp://image.papertrans.cn/c/image/233081.jpg作者: 商談 時(shí)間: 2025-3-23 22:25 作者: hematuria 時(shí)間: 2025-3-24 05:51 作者: GLIDE 時(shí)間: 2025-3-24 10:34
https://doi.org/10.1007/978-3-030-26157-3 problem, a polynomial-time algorithm using dynamic programming is presented, and for the second one, a proof of its .-hardness is provided and some heuristics are proposed for it. The applicability of both problems here introduced is attested by their good results when modeling the ..作者: 痛打 時(shí)間: 2025-3-24 12:24
Sustainable Development Goals Seriesnk with the target mRNA through the complementary base pairing mechanism. Given their role, it is important to identify their targets and, to this purpose, different tools were proposed to solve this problem. However, their results can be very different, so the community is now moving toward the dep作者: amorphous 時(shí)間: 2025-3-24 15:16 作者: thrombosis 時(shí)間: 2025-3-24 20:57 作者: myelography 時(shí)間: 2025-3-25 01:17 作者: 滔滔不絕的人 時(shí)間: 2025-3-25 06:12 作者: 跟隨 時(shí)間: 2025-3-25 09:26
Xuan Lam Nguyen,Kaliappa Kalirajane artificial bee colony algorithm to deal with the problem’s multimodality and high-dimensionality by introducing multi-objective optimization and knowledge from experimental proteins through the use of protein contact maps. Obtained results regarding measures of structural similarity indicate that 作者: 翅膀拍動(dòng) 時(shí)間: 2025-3-25 14:02
https://doi.org/10.1007/978-3-030-15066-2 literature dealing with differences in interspecies cardiac properties. Generally, these new models update the physiological knowledge using new equations which reflect better the molecular basis of process. New equations require the fitting of parameters to previously known experimental data or ev作者: 免除責(zé)任 時(shí)間: 2025-3-25 19:36 作者: Prostatism 時(shí)間: 2025-3-25 20:07 作者: intrigue 時(shí)間: 2025-3-26 04:03
https://doi.org/10.1007/978-3-031-68734-1cost. Since these techniques are significantly slower than the traditional analytical ones and time is critical in this field, we need to employ parallel implementations in order to exploit the machine resources and obtain efficient reconstructions..In this paper, we analyze the performance of the s作者: archaeology 時(shí)間: 2025-3-26 07:39
Sustainable Development Goals Serieselation File Format (ARFF) files in a native, convenient, transparent, efficient, and distributed way. Moreover, Spark does not support advanced learning paradigms represented in the ARFF definition including learning from data comprising single/multiple instances and/or single/multiple outputs. Thi作者: harrow 時(shí)間: 2025-3-26 12:06
Godwell Nhamo,Muchaiteyi Togo,Kaitano Dubeeviating the challenge of skewed distributions, two most distinct ones are data-level sampling and cost-sensitive learning. The former modifies the training set by either removing majority instances or generating additional minority ones. The latter associates a penalty cost with the minority class,作者: Oratory 時(shí)間: 2025-3-26 15:58
Karembe F. Ahimbisibwe,Tiina Kontinenns, high number of classes, high-dimensional feature space and small number of learning samples. One of the ways to deal with this problem is the writer-independent (WI) approach, which is based on the dichotomy transformation (DT). In this work, an analysis of the difficulty of the data in the spac作者: 強(qiáng)有力 時(shí)間: 2025-3-26 20:18 作者: 幻影 時(shí)間: 2025-3-26 23:18
Mavis Thokozile Macheka,Gift Wasambo Kayirars and can hardly identify non-signature malware, which will inevitably affect the detection efficiency and effectiveness. To solve the above problems, we propose to use the General-Purpose Registers (GPRs) as our features and design a novel deep learning model for malware detection. Specifically, e作者: 刺激 時(shí)間: 2025-3-27 04:49 作者: nepotism 時(shí)間: 2025-3-27 05:16 作者: 勉勵(lì) 時(shí)間: 2025-3-27 10:41 作者: carotid-bruit 時(shí)間: 2025-3-27 15:54 作者: 航海太平洋 時(shí)間: 2025-3-27 21:43 作者: Invigorate 時(shí)間: 2025-3-28 00:45
Conference proceedings 2019medical and Bioinformatics Challenges for Computer Science; Track of Classifier Learning from Difficult Data; Track of Computational Finance and Business Intelligence; Track of Computational Optimization, Modelling and Simulation; Track of Computational Science in IoT and Smart Systems..Part IV: Tra作者: 首創(chuàng)精神 時(shí)間: 2025-3-28 02:48 作者: 碎石 時(shí)間: 2025-3-28 09:33 作者: 疏遠(yuǎn)天際 時(shí)間: 2025-3-28 12:08
https://doi.org/10.1007/978-3-030-26157-3dancy maximum relevance (mRMR) is then introduced to select the most prominent features. Results in this study indicate that this method performs better than others for epileptic seizure detection using an identical dataset, and that our proposed GVIX is a prominent feature in automated epileptic se作者: 煉油廠 時(shí)間: 2025-3-28 14:35 作者: craving 時(shí)間: 2025-3-28 19:11 作者: 多產(chǎn)魚 時(shí)間: 2025-3-29 00:49
https://doi.org/10.1007/978-981-16-6734-3 every single mutation we used to compose our set of mutation operators. Moreover, a population diversity metric is used to analyze the behavior of each one of them. The proposed method was tested with ten protein sequences with different folding patterns. Results obtained showed that the self-adapt作者: Mediocre 時(shí)間: 2025-3-29 06:21 作者: FLAIL 時(shí)間: 2025-3-29 07:59 作者: Rankle 時(shí)間: 2025-3-29 15:11 作者: 欲望 時(shí)間: 2025-3-29 19:17
Godwell Nhamo,Muchaiteyi Togo,Kaitano Dubeork aims to open a new direction for learning from imbalanced data, by investigating an interplay between the oversampling and cost-sensitive approaches. We show that there is a direct relationship between the misclassification cost imposed on the minority class and the oversampling ratios that aim 作者: Glucose 時(shí)間: 2025-3-29 22:10 作者: 共同給與 時(shí)間: 2025-3-30 01:12
Mavis Thokozile Macheka,Gift Wasambo Kayiralso identify non-signature malware. Comprehensive experimental results show that our proposed method performs better than the state-of-art methods for malicious behaviours detection relying on low-level features.作者: commune 時(shí)間: 2025-3-30 05:55
Comparing Deep and Machine Learning Approaches in Bioinformatics: A miRNA-Target Prediction Case Stuthree different machine learning models to two different miRNA-mRNA datasets, of predictions from 3 different tools: TargetScan, miRanda, and RNAhybrid. Although an experimental validation of the results is needed to better confirm the predictions, deep learning techniques achieved the best performa作者: Abnormal 時(shí)間: 2025-3-30 08:33
Automated Epileptic Seizure Detection Method Based on the Multi-attribute EEG Feature Pool and mRMR dancy maximum relevance (mRMR) is then introduced to select the most prominent features. Results in this study indicate that this method performs better than others for epileptic seizure detection using an identical dataset, and that our proposed GVIX is a prominent feature in automated epileptic se作者: 言行自由 時(shí)間: 2025-3-30 14:49 作者: FLACK 時(shí)間: 2025-3-30 16:34 作者: SPASM 時(shí)間: 2025-3-30 21:52
A Knowledge Based Self-Adaptive Differential Evolution Algorithm for Protein Structure Prediction every single mutation we used to compose our set of mutation operators. Moreover, a population diversity metric is used to analyze the behavior of each one of them. The proposed method was tested with ten protein sequences with different folding patterns. Results obtained showed that the self-adapt作者: Esophagus 時(shí)間: 2025-3-31 01:40
Combining Polynomial Chaos Expansions and Genetic Algorithm for the Coupling of Electrophysiologicalarameters, the quality of the Genetic Algorithm dramatically improves. In addition, we test whether the use of the Polynomial Chaos Expansions improves the process of the Genetic Algorithm search. We find that it reduces the Genetic Algorithm execution in an order of . times in the case studied here作者: Intrepid 時(shí)間: 2025-3-31 08:06 作者: 沒血色 時(shí)間: 2025-3-31 11:36 作者: CRAMP 時(shí)間: 2025-3-31 14:59
On the Role of Cost-Sensitive Learning in Imbalanced Data Oversamplingork aims to open a new direction for learning from imbalanced data, by investigating an interplay between the oversampling and cost-sensitive approaches. We show that there is a direct relationship between the misclassification cost imposed on the minority class and the oversampling ratios that aim 作者: dysphagia 時(shí)間: 2025-3-31 20:53
Missing Features Reconstruction and Its Impact on Classification Accuracyopose two approaches to using them for multiple features imputation. The experiments were performed on both real world and artificial datasets with continuous features where different numbers of features, varying from one feature to ., were missing. The results show that MICE and linear regression a作者: B-cell 時(shí)間: 2025-3-31 22:55 作者: FLAG 時(shí)間: 2025-4-1 01:51
Parallelization of an Algorithm for Automatic Classification of Medical Datatime classification of clinical data. The parallelization has been carried out so that the algorithm can be used in real time in standard computers, or in high performance computing servers. The fastest versions have been obtained carrying out most of the computations in Graphics Processing Units (G
