https://ogma.newcastle.edu.au/vital/access/manager/Index ${session.getAttribute("locale")} 5 Identification of phishing websites through hyperlink analysis and rule extraction https://ogma.newcastle.edu.au/vital/access/manager/Repository/uon:39894 Wed 29 Jun 2022 13:53:03 AEST ]]> Probability of major depression classification based on the SCID, CIDI, and MINI diagnostic interviews: A synthesis of three individual participant data meta-analyses https://ogma.newcastle.edu.au/vital/access/manager/Repository/uon:50028 Wed 28 Jun 2023 09:49:40 AEST ]]> Accelerating Code Search with Deep Hashing and Code Classification https://ogma.newcastle.edu.au/vital/access/manager/Repository/uon:50483 Wed 26 Jul 2023 18:43:34 AEST ]]> International Consensus Recommendations for Eosinophilic Gastrointestinal Disease Nomenclature https://ogma.newcastle.edu.au/vital/access/manager/Repository/uon:49619 2 GI tract areas are involved, the name should reflect all of the involved areas. Conclusions: This international process resulted in consensus for updated EGID nomenclature for both clinical and research use. EGID will be the umbrella term, rather than “eosinophilic gastroenteritis,” and specific naming conventions by location of GI tract involvement are recommended. As more data are developed, this framework can be updated to reflect best practices and the underlying science.]]> Wed 24 May 2023 11:40:45 AEST ]]> Contextualizing the current state of research on the use of machine learning for student performance prediction: A systematic literature review https://ogma.newcastle.edu.au/vital/access/manager/Repository/uon:55197 Wed 24 Apr 2024 13:07:49 AEST ]]> ECG arrhythmia classification using time frequency distribution techniques https://ogma.newcastle.edu.au/vital/access/manager/Repository/uon:34043 Wed 16 Dec 2020 18:26:18 AEDT ]]> Classification of colonic polyps using hidden Markov models https://ogma.newcastle.edu.au/vital/access/manager/Repository/uon:5906 Wed 11 Apr 2018 15:59:17 AEST ]]> Gravity separation and flotation of fine particles using the Reflux Classifier platform https://ogma.newcastle.edu.au/vital/access/manager/Repository/uon:19235 Wed 11 Apr 2018 14:36:19 AEST ]]> Robust features for the automatic identification of autism spectrum disorder in children https://ogma.newcastle.edu.au/vital/access/manager/Repository/uon:16794 Wed 11 Apr 2018 14:32:47 AEST ]]> Digesting commercial clips from TV streams https://ogma.newcastle.edu.au/vital/access/manager/Repository/uon:4404 Wed 11 Apr 2018 14:08:40 AEST ]]> The indigenous music of East Timor and its relationship to the social and cultural mores and lulik worldview of its autochthonous people https://ogma.newcastle.edu.au/vital/access/manager/Repository/uon:22603 Wed 11 Apr 2018 13:21:09 AEST ]]> Variations of the two-spiral task https://ogma.newcastle.edu.au/vital/access/manager/Repository/uon:7780 Wed 11 Apr 2018 12:56:09 AEST ]]> Distinguishing childhood absence epilepsy patients from controls by the analysis of their background brain electrical activity https://ogma.newcastle.edu.au/vital/access/manager/Repository/uon:7087 Wed 11 Apr 2018 11:42:37 AEST ]]> Incorporating feature ranking and evolutionary methods for the classification of high-dimensional DNA microarray gene expression data https://ogma.newcastle.edu.au/vital/access/manager/Repository/uon:15772 Wed 11 Apr 2018 11:42:33 AEST ]]> The physical inactivity matrix: lessons from the classification of physical in activity interventions https://ogma.newcastle.edu.au/vital/access/manager/Repository/uon:2673 Wed 11 Apr 2018 11:37:31 AEST ]]> Scene perception using machine pareidolia of facial expressions https://ogma.newcastle.edu.au/vital/access/manager/Repository/uon:13669 Wed 11 Apr 2018 10:27:37 AEST ]]> Defining and mapping rare vegetation communities: improving techniques to assist land-use planning and conservation https://ogma.newcastle.edu.au/vital/access/manager/Repository/uon:12567 Wed 11 Apr 2018 09:22:56 AEST ]]> Predicting student performance in a blended learning environment using learning management system interaction data https://ogma.newcastle.edu.au/vital/access/manager/Repository/uon:44036 Wed 05 Oct 2022 15:25:21 AEDT ]]> Assessing satisfaction with public transport service by ordered multiple correspondence analysis https://ogma.newcastle.edu.au/vital/access/manager/Repository/uon:48114 Wed 01 Mar 2023 13:25:19 AEDT ]]> Evolving multi-dimensional wavelet neural networks for classification using Cartesian Genetic Programming https://ogma.newcastle.edu.au/vital/access/manager/Repository/uon:30640 Tue 30 Aug 2022 14:17:53 AEST ]]> FoodEx2vec: new foods' representation for advanced food data analysis https://ogma.newcastle.edu.au/vital/access/manager/Repository/uon:39848 Tue 28 Jun 2022 09:52:59 AEST ]]> A Novel Method for Improving the Robustness of Deep Learning-Based Malware Detectors Against Adversarial Attacks https://ogma.newcastle.edu.au/vital/access/manager/Repository/uon:50420 Tue 25 Jul 2023 18:12:17 AEST ]]> A classification of the abelian minimal closed normal subgroups of locally compact second-countable groups https://ogma.newcastle.edu.au/vital/access/manager/Repository/uon:42436 n or its dual for some n ∈ N), we can take 𝐺 to be compactly generated. This amounts to a classification of the possible isomorphism types of abelian chief factors of l.c.s.c. groups, which is of particular interest for the theory of compactly generated locally compact groups.]]> Tue 23 Aug 2022 10:05:22 AEST ]]> Predicting rating polarity through automatic classification of review texts https://ogma.newcastle.edu.au/vital/access/manager/Repository/uon:33506 Tue 13 Nov 2018 11:40:48 AEDT ]]> Early Detection of Under-Performing Students Using Machine Learning Algorithms https://ogma.newcastle.edu.au/vital/access/manager/Repository/uon:44353 Tue 11 Oct 2022 19:42:39 AEDT ]]> Critical steps in an environmental metaproteomics workflow https://ogma.newcastle.edu.au/vital/access/manager/Repository/uon:55617 Tue 11 Jun 2024 14:47:00 AEST ]]> Breast cancer intrinsic subtypes: a critical conception in bioinformatics https://ogma.newcastle.edu.au/vital/access/manager/Repository/uon:30639 Tue 10 Sep 2024 18:16:29 AEST ]]> Pathogenic ischemic stroke phenotypes in the NINDS-Stroke Genetics Network https://ogma.newcastle.edu.au/vital/access/manager/Repository/uon:19823 Tue 09 Jun 2020 09:48:40 AEST ]]> Automatic recognition of specific local cortical folding patterns https://ogma.newcastle.edu.au/vital/access/manager/Repository/uon:38092 Tue 03 Aug 2021 18:28:49 AEST ]]> Landslide susceptibility zonation method based on C5.0 decision tree and K-means cluster algorithms to improve the efficiency of risk management https://ogma.newcastle.edu.au/vital/access/manager/Repository/uon:45387 Thu 27 Oct 2022 13:45:28 AEDT ]]> Subquotients of Hecke C*-algebras https://ogma.newcastle.edu.au/vital/access/manager/Repository/uon:80 1, the actions are an apparently new class of higher-rank odometer actions, and the crossed products are an apparently new class of classifiable AT-algebras.]]> Thu 12 Sep 2024 09:36:04 AEST ]]> Identification and validation of functional gastrointestinal disorder subtypes using latent class analysis: a population-based study https://ogma.newcastle.edu.au/vital/access/manager/Repository/uon:36112 Thu 06 Feb 2020 14:32:06 AEDT ]]> Balancing privacy and utility in cross-company defect prediction https://ogma.newcastle.edu.au/vital/access/manager/Repository/uon:31604 Sat 24 Mar 2018 08:44:57 AEDT ]]> Novel biomarkers for prostate cancer revealed by (α,β)-k-feature sets https://ogma.newcastle.edu.au/vital/access/manager/Repository/uon:8461 Sat 24 Mar 2018 08:42:08 AEDT ]]> Cayley graphs as classifiers for data mining: the influence of asymmetries https://ogma.newcastle.edu.au/vital/access/manager/Repository/uon:7822 Sat 24 Mar 2018 08:37:38 AEDT ]]> Distinguishing childhood absence epilepsy patients from controls by the analysis of their background brain electrical activity (II): a combinatorial optimization approach for electrode selection https://ogma.newcastle.edu.au/vital/access/manager/Repository/uon:7694 Sat 24 Mar 2018 08:33:34 AEDT ]]> Preliminary investigation of gene expression profiles in peripheral blood lymphocytes in schizophrenia https://ogma.newcastle.edu.au/vital/access/manager/Repository/uon:1288 Sat 24 Mar 2018 08:32:45 AEDT ]]> Performance of the reflux classifier for gravity separation at full scale https://ogma.newcastle.edu.au/vital/access/manager/Repository/uon:1718 Sat 24 Mar 2018 08:27:40 AEDT ]]> A classification of recent Australasian computing education publications https://ogma.newcastle.edu.au/vital/access/manager/Repository/uon:9947 Sat 24 Mar 2018 08:14:19 AEDT ]]> Accurate pedestrian counting system based on local features https://ogma.newcastle.edu.au/vital/access/manager/Repository/uon:21844 Sat 24 Mar 2018 08:06:19 AEDT ]]> Revisiting school knowledge: some sociological perspectives on new school curricula https://ogma.newcastle.edu.au/vital/access/manager/Repository/uon:16490 Sat 24 Mar 2018 08:05:37 AEDT ]]> Insolvency prediction in the presence of data inconsistencies https://ogma.newcastle.edu.au/vital/access/manager/Repository/uon:18842 Sat 24 Mar 2018 08:03:20 AEDT ]]> Classification of children with autism spectrum disorder by sensory subtype: a case for sensory-based phenotypes https://ogma.newcastle.edu.au/vital/access/manager/Repository/uon:18929 Sat 24 Mar 2018 07:58:59 AEDT ]]> Type-2 fuzzy sets and conceptual spaces. https://ogma.newcastle.edu.au/vital/access/manager/Repository/uon:16331 Sat 24 Mar 2018 07:58:01 AEDT ]]> Unravelling low back pain in an outpatient physiotherapy service https://ogma.newcastle.edu.au/vital/access/manager/Repository/uon:17681 Sat 24 Mar 2018 07:57:27 AEDT ]]> From classification to retrieval: exploiting pattern classifiers in semantic image indexing and retrieval https://ogma.newcastle.edu.au/vital/access/manager/Repository/uon:5780 Sat 24 Mar 2018 07:44:57 AEDT ]]> Content-based music summarization and classification https://ogma.newcastle.edu.au/vital/access/manager/Repository/uon:5781 Sat 24 Mar 2018 07:44:56 AEDT ]]> Performance of the reflux classifier for gravity separation at full scale https://ogma.newcastle.edu.au/vital/access/manager/Repository/uon:268 Sat 24 Mar 2018 07:43:01 AEDT ]]> Combining intra-image and inter-class semantics for consumer image retrieval https://ogma.newcastle.edu.au/vital/access/manager/Repository/uon:364 Sat 24 Mar 2018 07:42:36 AEDT ]]> A study on detecting three-dimensional balls using boosted classifiers https://ogma.newcastle.edu.au/vital/access/manager/Repository/uon:29258 Sat 24 Mar 2018 07:39:15 AEDT ]]> Biobank classification in an Australian setting https://ogma.newcastle.edu.au/vital/access/manager/Repository/uon:27664 Sat 24 Mar 2018 07:38:49 AEDT ]]> Identifying malicious web domains using machine learning techniques with online credibility and performance data https://ogma.newcastle.edu.au/vital/access/manager/Repository/uon:30340 Sat 24 Mar 2018 07:31:52 AEDT ]]> Reformulation of the theory of conceptual spaces https://ogma.newcastle.edu.au/vital/access/manager/Repository/uon:3667 Sat 24 Mar 2018 07:23:08 AEDT ]]> The comfort of strangers: social work, modernity and late Victorian England: part I https://ogma.newcastle.edu.au/vital/access/manager/Repository/uon:4120 Sat 24 Mar 2018 07:22:29 AEDT ]]> Developing a hydrogeomorphic wetland inventory: reclassifying national wetlands inventory polygons in geographic information systems https://ogma.newcastle.edu.au/vital/access/manager/Repository/uon:23658 50% of the misclassified sites in this analysis. The results from this analysis were also used to provide an inventory of wetlands in each HGM class and subclass based on user’s accuracy metrics. Reclassifying NWI polygons into HGM classes can assist with determining the spatial distribution and relative abundance of specific wetland classes which allows for more focused wetland restoration and monitoring efforts. However, the error rate associated with reclassification should be calculated to ensure that incorrect conclusions are not drawn regarding the abundance of HGM wetland classes and their associated functions.]]> Sat 24 Mar 2018 07:16:50 AEDT ]]> Desliming of dense minerals in fluidized beds https://ogma.newcastle.edu.au/vital/access/manager/Repository/uon:22086 Sat 24 Mar 2018 07:15:16 AEDT ]]> How to make use of unlabeled observations in species distribution modeling using point process models https://ogma.newcastle.edu.au/vital/access/manager/Repository/uon:45766 Sat 05 Nov 2022 12:13:57 AEDT ]]> Predicting Deflagration and Detonation in Detonation Tube https://ogma.newcastle.edu.au/vital/access/manager/Repository/uon:52839 Mon 30 Oct 2023 09:41:40 AEDT ]]> The Wagiman Landscape: Mental Maps and Prototypes https://ogma.newcastle.edu.au/vital/access/manager/Repository/uon:53907 Mon 22 Jan 2024 15:11:46 AEDT ]]> Determining the optimal cut-off scores for the workplace bullying inventory https://ogma.newcastle.edu.au/vital/access/manager/Repository/uon:32288 Mon 21 May 2018 14:06:59 AEST ]]> A hybrid naive Bayes approach for information filtering https://ogma.newcastle.edu.au/vital/access/manager/Repository/uon:16201 Mon 20 Nov 2023 14:21:58 AEDT ]]> Supervised risk predictor of central gland lesions in prostate cancer using 1H MR spectroscopic imaging with gradient offset‐independent adiabaticity pulses https://ogma.newcastle.edu.au/vital/access/manager/Repository/uon:48497 1H MR spectroscopic imaging (3D ¹H MRSI) with a semi-localized adiabatic selective refocusing (sLASER) sequence and gradient-modulated offset-independent adiabatic (GOIA) pulses for detection of central gland prostate cancer. Additionally four risk models were developed to differentiate 1) normal vs. cancer, 2) low- vs. high-risk cancer, 3) low- vs. intermediate-risk cancer, and 4) intermediate- vs. high-risk cancer voxels. Study Type: Prospective. Subjects: Thirty-six patients with biopsy-proven central gland prostate cancer. Field Strength/Sequence: 3T MRI / 3D ¹H MRSI using GOIA-sLASER. Assessment: Cancer and normal regions of interest (ROIs) were selected by an experienced radiologist and ¹H MRSI voxels were placed within the ROIs to calculate seven metabolite signal ratios. Voxels were split into two subsets, 80% for model training and 20% for testing. Statistical Tests: Four support vector machine (SVM) models were built using the training dataset. The accuracy, sensitivity, and specificity for each model were calculated for the testing dataset. Results: High-quality MR spectra were obtained for the whole central gland of the prostate. The normal vs. cancer diagnostic model achieved the highest predictive performance with an accuracy, sensitivity, and specificity of 96.2%, 95.8%, and 93.1%, respectively. The accuracy, sensitivity, and specificity of the low- vs. high-risk cancer and low- vs. intermediate-risk cancer models were 82.5%, 89.2%, 70.2%, and 73.0%, 84.7%, 60.8%, respectively. The intermediate- vs. high-risk cancer model yielded an accuracy, sensitivity, and specificity lower than 55%. Data Conclusion: The GOIA-sLASER sequence with an external phased-array coil allows for fast assessment of central gland prostate cancer. The classification offers a promising diagnostic tool for discriminating normal vs. cancer, low- vs. high-risk cancer, and low- vs. intermediate-risk cancer. Level of Evidence: 2. Technical Efficacy: Stage 2.]]> Mon 20 Mar 2023 14:05:29 AEDT ]]> New challenges for gravity concentration and classification of fine particles https://ogma.newcastle.edu.au/vital/access/manager/Repository/uon:46768 Mon 19 Jun 2023 15:05:34 AEST ]]> Classification and modelling of web technologies https://ogma.newcastle.edu.au/vital/access/manager/Repository/uon:10861 Mon 16 Sep 2024 12:44:10 AEST ]]> Integration of hard and soft supervised machine learning for flood susceptibility mapping https://ogma.newcastle.edu.au/vital/access/manager/Repository/uon:46256 Mon 14 Nov 2022 15:55:57 AEDT ]]> Hierarchical ensemble learning for Alzheimer's disease classification https://ogma.newcastle.edu.au/vital/access/manager/Repository/uon:35263 Mon 08 Jul 2019 16:52:24 AEST ]]> An analysis of Blessed Friday sale at a retail store using classification models https://ogma.newcastle.edu.au/vital/access/manager/Repository/uon:40229 Mon 01 Aug 2022 10:13:45 AEST ]]> Degradation of cephalexin toxicity in non-clinical environment using zinc oxide nanoparticles synthesized in Momordica charantia extract; Numerical prediction models and deep learning classification https://ogma.newcastle.edu.au/vital/access/manager/Repository/uon:51953 90%). These findings reflected the role of deep learning analysis in understanding the behavior of CFX for the degradation process.]]> Fri 22 Sep 2023 17:03:57 AEST ]]> External Validation of the Joint-Specific Bone Involvement, Antimicrobial Options, Coverage of the Soft Tissues, and Host Status (JS-BACH) Classification for Predicting Outcome in Periprosthetic Joint Infections: A Cohort of 653 Patients https://ogma.newcastle.edu.au/vital/access/manager/Repository/uon:56378 Fri 13 Sep 2024 14:13:04 AEST ]]> Five strategies for accommodating overdispersion in correspondence analysis https://ogma.newcastle.edu.au/vital/access/manager/Repository/uon:41726 Fri 12 Aug 2022 09:57:17 AEST ]]> Application of inclined channels in the hydrodynamic classification of minerals by particle size https://ogma.newcastle.edu.au/vital/access/manager/Repository/uon:50879 Fri 11 Aug 2023 14:29:44 AEST ]]> Evaluating teachers’ effectiveness in classrooms: an ML-based assessment portfolio https://ogma.newcastle.edu.au/vital/access/manager/Repository/uon:54668 Fri 08 Mar 2024 11:04:33 AEDT ]]>