Kire Trivodaliev

Kire Trivodaliev
Ss. Cyril and Methodius University in Skopje · Faculty of Computer Science and Engineering

PhD

About

47
Publications
48,902
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1,378
Citations
Citations since 2017
24 Research Items
1306 Citations
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2017201820192020202120222023050100150200250300
2017201820192020202120222023050100150200250300

Publications

Publications (47)
Chapter
There are strong indications that structural and functional magnetic resonance imaging (MRI) may help identify biologically relevant phenotypes of neurodevelopmental disorders such as Autism spectrum disorder (ASD). Extracting patterns from MRI data is challenging due to the high dimensionality, limited cardinality and data heterogeneity. In this p...
Article
Full-text available
Network-based representations have introduced a revolution in neuroscience, expanding the understanding of the brain from the activity of individual regions to the interactions between them. This augmented network view comes at the cost of high dimensionality, which hinders both our capacity of deciphering the main mechanisms behind pathologies, an...
Chapter
Full-text available
One of the key aspects of smart cities is the enhancement of awareness of the key stakeholders as well as the general population regarding air pollution. Citizens often remain unaware of the pollution in their immediate surrounding which usually has strong correlation with the local environment and micro-climate. This paper presents an Internet of...
Conference Paper
One of the key aspects of smart cities is the enhancement of awareness of the key stakeholders as well as the general population regarding air pollution. Citizens often remain unaware of the pollution in their immediate surrounding which usually has strong correlation with the local environment and micro-climate. This paper presents an Internet of...
Conference Paper
This paper addresses the routes planning problem in a scenario where an UAV (Unmanned Aerial Vehicle) and a land-based transportation vehicle are used to deliver parcels to customer locations. We developed and implemented a solution based on the well-known Bellman-Held-Karp dynamic programming algorithm for the Travelling Salesman Problem that find...
Conference Paper
One of the major challenges in managing security in broadband and high-speed networks is the detection of suspicious anomalies in network traffic. In recent years a lot of effort is focused on developing automatic detection of cyber-attacks using data mining techniques on the data generated from network traffic. In this paper a methodology for auto...
Chapter
One of the essential challenges in proteomics is the computational function prediction. In Protein Interaction Networks (PINs) this problem is one of proper labeling of corresponding nodes. In this paper a novel three-step approach for supervised protein function learning in PINs is proposed. The first step derives continuous vector representation...
Conference Paper
In this paper we create and analyze a protein-protein interaction network (PPIN) of colorectal cancer (CRC). First we identify proteins that are related to the CRC (set of seed proteins). Using this set we generate the CRC PPIN with the help of Cytoscape. We analyze this PPIN in a twofold manner. We first extract important topological features for...
Conference Paper
Full-text available
Activity detection is becoming an integral part of many mobile applications. Therefore, the algorithms for this purpose should be lightweight to operate on mobile or other wearable device, but accurate at the same time. In this paper, we develop a new lightweight algorithm for activity detection based on Long Short Term Memory networks, which is ab...
Conference Paper
The purpose of this paper is to explore the linkage between recipe’s ingredients and identification of a cuisine. This has been tackled as a problem of cuisine classification. We will examine various approaches (different machine learning algorithms) for recipes classification based on the recipe’s ingredients. The output will be the recommendation...
Technical Report
Full-text available
Disruptive technologies proposed for 5G wireless systems and the IoT hold promise of providing unprecedented localization capabilities for a wide range of application scenarios and target environments. This whitepaper summarizes the expected features and resulting properties of upcoming localization systems exploiting 5G and IoT technologies. It al...
Conference Paper
Full-text available
This paper provides a comprehensive definition of "Internet of Toys" as a new application domain of "Internet of Things" including both sociological and technological aspects. We survey available Internet of Toys architectures from the literature and propose new architecture/framework that will enable interconnection of smart toys into complex ente...
Conference Paper
Full-text available
Smart grid is the process of applying ICT in order to optimize energy consumption and decrease energy loses. This paper presents a three tier Internet of Thing based hierarchical framework for the smart home, as a reflection to the present lack of intelligent solutions that do not fully use the advantages of Internet of Thing technologies. Our fram...
Conference Paper
Full-text available
Nowadays, finding the Unmanned Aerial Vehicle (UAV) position in the absence of GPS is attractive and challenging problem in the research community. In this paper, we present a novel algorithm for mini UAV indoor localization based on distance measurements between the UAV and the existing infrastructure consisting of WiFi Access Points. Our algorith...
Article
Full-text available
The increasing average age of the population in most industrialized countries imposes a necessity for developing advanced and practical services using state-of-the-art technologies, dedicated to personal living spaces. In this paper, we introduce a hierarchical distributed approach for home care systems based on a new paradigm known as Internet of...
Conference Paper
Full-text available
Customer churn is one of the main problems in the telecommunications industry. Several studies have shown that attracting new customers is much more expensive than retaining existing ones. Therefore, companies are focusing on developing accurate and reliable predictive models to identify potential customers that will churn in the near future. The a...
Conference Paper
Full-text available
Technology enhanced education has been recently established as a new approach for all stages of education in developing countries, especially in Macedonia. Although computer games are often given little attention we believe that within the vast amount of technologies and instruments used to achieve the needed improvements it is computer games that...
Chapter
One third of the world’s population suffers from some kind of neurological disorder. The development of technology allows us to analyze, model and visualize these disorders in order to help MDs in further treatments. Resting state fMRI is one of the most common ways for investigating the functional connectivity of the brain, which produces time ser...
Article
Full-text available
Protein interaction networks (PINs) are argued to be the richest source of hidden knowledge of the intrinsic physical and/or functional meanings of the involved proteins. We propose a novel method for computational protein function prediction based on semantic homogeneity optimization in PIN (SHOPIN). The SHOPIN method creates graph representations...
Chapter
The increased availability of large-scale protein-protein interaction (PPI) data has made it possible to have a network level understanding of the basic components and organization of the cell machinery. A significant number of proteins in protein interaction networks (PIN) remain uncharacterized and predicting their function remains a major challe...
Article
Full-text available
Complex networks have recently become the focus of research in many fields. Their structure reveals crucial information for the nodes, how they connect and share information. In our work we analyze protein interaction networks as complex networks for their functional modular structure and later use that information in the functional annotation of p...
Thesis
Full-text available
Complex networks have recently become the focus of research in many fields. Their structure reveals crucial information for the nodes, how they connect and share information. In this thesis protein interaction networks are analyzed as complex networks from two aspects, how to extract knowledge about the functions of an unknown protein from the netw...
Article
Full-text available
The proposed protein function prediction methods are mostly based on sequence or structure protein similarity and do not take into account the semantic similarity extracted from protein knowledge databases such as Gene Ontology. Many studies have shown that identification of protein complexes or functional modules can be effectively done by cluster...
Chapter
Full-text available
The recent advent of high throughput methods has generated large amounts of protein-protein interaction network (PPIN) data. When studying the workings of a biological cell, it is useful to be able to detect known and predict still undiscovered protein complexes within the cell's PPINs. Such predictions may be used as an inexpensive tool to direct...
Chapter
Full-text available
The increasing availability of large-scale protein-protein interaction (PPI) data has made it possible to understand the basic components and organization of cell machinery from the network level. Many studies have shown that clustering protein interaction network (PIN) is an effective approach for identifying protein complexes or functional module...
Conference Paper
Full-text available
Proteins are the most important cell parts, therefore, knowing their exact function is of a great significance. However, the function of large amount of proteins is still unknown. In addition, today, biologists persist on hierarchical organization the living world, and thus in protein databases also. There are many protein classification algorithms...
Chapter
Full-text available
The protein function is tightly related to classification of proteins in hierarchical levels where proteins share same or similar functions. One of the most relevant protein classification schemes is the structural classification of proteins (SCOP). The SCOP scheme has one negative drawback; due to its manual classification methods, the dynamic of...
Chapter
Full-text available
The recent advent of high throughput methods has generated large amounts of protein interaction network (PIN) data. A significant number of proteins in such networks remain uncharacterized and predicting their function remains a major challenge. A number of existing techniques assume that proteins with similar functions are topologically close in t...
Conference Paper
In this paper, comparative analysis is presented of our three 3D structure-based approaches for the efficient retrieval of protein molecules. All approaches rely on the 3D structure of the proteins. In the first approach, the Spherical Trace Transform is applied to protein 3D structures in order to produce geometry based descriptors. Additionally,...
Conference Paper
Protein secondary structure prediction remains an open and important problem in life sciences as a first step towards the crucial tertiary structure prediction. In [3], a protein secondary structure prediction algorithm called PSIPRED presents an innovative approach - feeding the neural network (NN) with a position specific scoring matrix as input...
Conference Paper
Full-text available
Traditional teaching, usually based on lectures and tutorials fosters the idea of instruction-driven learning model where students are passive listeners. Besides this approach, Project Based Learning (PBL) as a different learning paradigm is standing behind constructivism learning theory, where learning from real-world situations is put on the firs...
Conference Paper
In this paper, a 3D structure-based approach is presented for the efficient classification of protein molecules. The method relies on the geometric 3D structure of the proteins. After proper positioning of the 3D structures, the spherical trace transform is applied to them to produce geometry - based descriptors, which are completely rotation invar...
Conference Paper
Full-text available
This paper introduces our approach in building multimedia learning environment based on digital library and mobile student services. The learning material can be accessed from standard desktop PCs, but also from wireless PDA or mobile phones. The last two approaches require development of a mobile distance educational system, especially a mobile ac...

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