Mathematics Group Journals’ Post

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Call for papers :Exploring Feature Selection and Extraction Techniques on Omics Data Journal: Recent Advances in Computer Science and Communications (Scopus). Guest Editor(S): Dr.Sandeep Kumar Mathivanan Co-Guest Editor(S): Dr. Saurav Mallik, Dr. S.K.B. Sangeetha https://lnkd.in/gmEN9zX3. The contributors should select the option "Manuscript Submission in any Thematic Issue" and enter the hot topic (HT) code as BMS-RACSC-2024-HT-169 so that their manuscripts are processed under the correct thematic issue.

I’m happy to share my first-authored #research article has just been published in Insects (IF 2023: 2.7, Q1). Please, see the full, open access article, titled ‘Flower Visitation through the Lens: Exploring the Foraging Behaviour of Bombus terrestris with a Computer Vision-Based Application’, here: https://lnkd.in/eZsxzQFb Co-authored with Gabor Pozsgai #pollinators; #bumblebees; #behaviouralecology; #flowervisitation; #deeplearning; #computervision; #yolo

https://lnkd.in/ekc5bUy2 A general introduction to the statistical analysis of networks. Numerous fundamental tools and concepts needed for the analysis of networks are presented, such as network modeling, community detection, graph-based semi-supervised learning and sampling in networks.

92 citations in a single paper" Rajeev Sahni, Dr. B.K. Verma, “Context-aware Social Popularity based Recommender System”, Paper Reference ID: pxc3894033. International Journal of Computer Applications © 2014 by IJCA Journal(0975-8887), Volume 92 - Number 2, Year of Publication: April, 2014. 10.5120/https://lnkd.in/gaBvm8B5." indicates thorough research and a robust foundation of existing literature.  #citations #Scopus #Research #Googlescholar

Out today on arxiv: Stable LM 2 1.6B Technical report, a comprehensive study of how to build SOTA small model. Very importantly, all ablations and training details disclosed for the benefit of the research community. arxiv: https://lnkd.in/grQUNKZM, HF: https://lnkd.in/gyhygNpm All details in the comments

🚀 Excited to share our latest research breakthrough from the 27th Pan-Hellenic Conference on Progress in Computing and Informatics! 📝 Title: "Correlation as an ARM Interestingness Measure for Numeric Datasets" 🔍 Abstract: A key issue in Associating Rule Mining (ARM) is the handling of the huge number of association rules that emerge in the output of the data mining process. A number of interestingness measures have been proposed and are used in order to quantify the usefulness (relevance) of each one rule. This study approaches measure effectiveness in terms of mitigating information loss introduced by the noise inherent to the application considered, and/or by the data preparation stage. The approach is put to test by applying ARM on two numeric datasets: (a) the 1M MovieLens dataset, and (b) an academic dataset of student assessment scores accumulated over a twelve years period. The Pearson and Spearman correlation coefficients are used to rank the rules in the output of the ARM process. The results obtained indicate that the proposed approach leads to improved performance and provides more insight into the rules ranking problem when ARM is applied on collections involving numeric data of the ratio measurement scale. 👨🔬 Authors: Konstantinos Kelesidis,Nikoletta Fotopoulou and Dimitris Dervos 🔗 DOI: https://lnkd.in/dtjHmDUx Join us in revolutionizing data mining methodologies and unlocking new insights! #Research #AssociationRulesMining #NumericDatasets #R #RecommenderLab #Correlation

🚨 readsdr 0.3.0 📦 for #RStats is out now! https://lnkd.in/eCs2syZd This update is a 'side-effect' of my PhD. With the new functions, it will be easier to perform model calibration and sensitivity analyses using System Dynamics software, R, and Stan. Here are a couple of tutorials: - Basics: https://lnkd.in/eirFQj_D - Inference: https://lnkd.in/eUVVV7vE

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