A5019577227- COVID-19 diagnosis using AI
- Academic Publishing and Open Access
- COVID-19 Clinical Research Studies
- Research Data Management Practices
- scientometrics and bibliometrics research
- Biomedical Text Mining and Ontologies
- Scientific Computing and Data Management
- Semantic Web and Ontologies
- Advanced Graph Neural Networks
- Graph Theory and Algorithms
- Topic Modeling
- Expert finding and Q&A systems
- Data Mining Algorithms and Applications
- Bioinformatics and Genomic Networks
- Advanced Text Analysis Techniques
- Mobile Crowdsensing and Crowdsourcing
- Text Readability and Simplification
- Advanced Clustering Algorithms Research
- Health and Medical Research Impacts
- RNA modifications and cancer
- Web Data Mining and Analysis
- Data Management and Algorithms
- Service-Oriented Architecture and Web Services
- Distributed and Parallel Computing Systems
- Technology Use by Older Adults
Athena Research and Innovation Center In Information Communication & Knowledge Technologies
2016-2024
University of Peloponnese
2017-2023
Athena Group (United States)
2023
OpenAIRE Non-Profit Civil Partnership
2022-2023
National and Kapodistrian University of Athens
2011-2012
Academy of Athens
2011
Observatoire astronomique de Strasbourg
2011
DIANA-TarBase v8 (http://www.microrna.gr/tarbase) is a reference database devoted to the indexing of experimentally supported microRNA (miRNA) targets. Its eighth version first >1 million entries, corresponding ∼670 000 unique miRNA-target pairs. The interactions are by >33 experimental methodologies, applied ∼600 cell types/tissues under ∼451 conditions. It integrates information on cell-type specific miRNA–gene regulation, while hundreds thousands miRNA-binding locations reported. TarBase...
Differential expression analysis (DEA) is one of the main instruments utilized for revealing molecular mechanisms in pathological and physiological conditions. DIANA-mirExTra v2.0 (http://www.microrna.gr/mirextrav2) performs a combined DEA mRNAs microRNAs (miRNAs) to uncover miRNAs transcription factors (TFs) playing important regulatory roles between two investigated states. The web server uses as input miRNA/RNA-Seq read count data sets that can be uploaded analysis. Users combine their...
This work investigates the ability of open Large Language Models (LLMs) to predict citation intent through in-context learning and fine-tuning. Unlike traditional approaches that rely on pre-trained models like SciBERT, which require extensive domain-specific pretraining specialized architectures, we demonstrate general-purpose LLMs can be adapted this task with minimal task-specific data. We evaluate twelve model variations across five prominent LLM families using zero, one, few, many-shot...
Abstract Since the beginning of coronavirus pandemic, a large number relevant articles have been published or become available in preprint servers. These articles, along with earlier related literature, compose valuable knowledge base affecting contemporary research studies even government actions to limit spread disease, and directing treatment decisions taken by physicians. However, such is increasing at an intense rate, making exploration literature identification useful challenging. In...
For small memory arrays that usually lack Memory Built-In Self-Test (MBIST), such as Translation Lookaside Buffer (TLB) arrays, Software-Based (SBST) can be a flexible and low-cost solution for on-line March test application. In this paper, an SBST program development methodology is proposed testing of data TLB (D-TLB), both (SRAM) tag (CAM) arrays. The exploits existing special purpose instructions modern ISAs implement to access the TLBs debug-diagnostic purposes, termed hereafter Direct...
Due to the rapidly increasing number of scientific articles, finding valuable work for further research has become tedious and time consuming. To alleviate this issue, search engines have used citation-based article impact ranking. However, most rely on very simplistic measures (usually citation count) make problematic assumption that there is a one-size-fits-all measure. address these problems, we present BIP! Finder, engine facilitates identification articles by exploiting two different...
Heterogeneous information networks (HINs) represent different types of entities and relationships between them. Exploring, analysing, extracting knowledge from such relies on metapath queries that identify pairs connected by diverse semantics. While the real-time evaluation query workloads large, web-scale HINs is highly demanding in computational cost, current approaches do not exploit interrelationships among queries. In this paper, we present ATRAPOS, a new approach for leverages...
Recently it has been realized that the major structures observed in rotating disc galaxies, i.e. bars and spirals, can be supported by regular as well chaotic orbits. The fact building of a structure cannot attributed just to quasi-periodic orbits associated with single orbital family, creates need classify trajectories particles supporting non-supporting within time interval interest. Our goal is present simple algorithm detects classifies which reinforce rectangularity outer envelope bar,...
We present SPHINX, a system for metapath-based entity exploration in Heterogeneous Information Networks (HINs). SPHINX allows users to define different views over HIN based on both automatically selected and user-defined meta-paths. Then, ranking similarity search can be performed these find explore entities of interest, taking also into account any spatial or temporal properties entities. A Web-based user interface is provided facilitate performing the various functionalities supported by...
The growth rate of the number scientific publications is constantly increasing, creating important challenges in identification valuable research and various scholarly data management applications, general. In this context, measures which can effectively quantify impact could be invaluable. work, we present BIP! DB, an open dataset that contains a variety calculated for large collection more than 100 million from disciplines.
Since the beginning of 2019-20 coronavirus pandemic, a large number relevant articles has been published or become available in preprint servers. These articles, along with earlier related literature, compose valuable knowledge base affecting contemporary research studies, even government actions to limit spread disease and treatment decisions taken by physicians. However, such is increasing at an intense rate making exploration literature identification useful it challenging. In this work,...
In recent years, assessing the performance of researchers has become a burden due to extensive volume existing research output. As result, evaluators often end up relying heavily on selection indicators like h-index. However, over-reliance such may result in reinforcing dubious practices, while overlooking important aspects researcher's career, as their exact role production particular works or contribution other types academic activities (e.g., datasets, peer reviewing). response, number...