Tomislav Lipic

Tomislav Lipic
Ruđer Bošković Institute | RBI · Centre for Informatics and Computing

PhD in Computing

About

51
Publications
7,723
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553
Citations
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January 2011 - present

Publications

Publications (51)
Article
Full-text available
Coastal water quality management is a public health concern, as water of poor quality can potentially harbor dangerous pathogens. In this study, we employ routine monitoring data of EscherichiaColi and enterococci across 15 beaches in the city of Rijeka, Croatia, to build machine learning models for predicting E.Coli and enterococci based on enviro...
Article
Why during pandemics some countries successfully cope with anti-vaccination sentiment while some others do not is partially because people rarely change their minds, since their views are commonly based not on facts and science, but on our feelings and group affiliations. Here, taking the Corruption Perception Index (CPI) as a proxy for the governm...
Preprint
Artificial intelligence (AI) has been embedded into many aspects of people's daily lives and it has become normal for people to have AI make decisions for them. Reinforcement learning (RL) models increase the space of solvable problems with respect to other machine learning paradigms. Some of the most interesting applications are in situations with...
Article
Recent decades have seen a rise in the use of physics methods to study different societal phenomena. This development has been due to physicists venturing outside of their traditional domains of interest, but also due to scientists from other disciplines taking from physics the methods that have proven so successful throughout the 19th and the 20th...
Article
Full-text available
Physics has a long tradition of laying rigorous quantitative foundations for social phenomena. Here, we up the ante for physics' forays into the territory of social sciences by (i) empirically documenting a tipping point in the relationship between democratic norms and corruption suppression, and then (ii) demonstrating how such a tipping point eme...
Preprint
Full-text available
Recent decades have seen a rise in the use of physics-inspired or physics-like methods in attempts to resolve diverse societal problems. Such a rise is driven both by physicists venturing outside of their traditional domain of interest, but also by scientists from other domains who wish to mimic the enormous success of physics throughout the 19th a...
Preprint
Full-text available
Coastal water quality management is a public health concern, as poor coastal water quality can harbor pathogens that are dangerous to human health. Tourism-oriented countries need to actively monitor the condition of coastal water at tourist popular sites during the summer season. In this study, routine monitoring data of $Escherichia\ Coli$ and en...
Article
For the global COVID-19 pandemic it is still not adequately understood how quarantine disobedience and change in mobility restrictions influence the pandemic spreading and waves. Here, we propose a new metapopulation epidemiological model as a network composed of equal clusters to predict the course of the epidemic based on the contiguous spreading...
Article
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Well-evidenced advances of data-driven complex machine learning approaches emerging within the so-called second wave of artificial intelligence (AI) fostered the exploration of possible AI applications in various domains and aspects of human life, practices, and society. Most of the recent success in AI comes from the utilization of representation...
Article
Full-text available
Spike glycoprotein is essential for the reproduction of the SARS-CoV-2 virus, and its inhibition using already approved antiviral drugs may open new avenues for treatment of patients with the COVID-19 disease. Because of that we analyzed the inhibition of SARS-CoV-2 spike glycoprotein with FDA-approved antiviral drugs and their double and triple co...
Article
Full-text available
The adaptation of deep learning models within safety-critical systems cannot rely only on good prediction performance but needs to provide interpretable and robust explanations for their decisions. When modeling complex sequences, attention mechanisms are regarded as the established approach to support deep neural networks with intrinsic interpreta...
Article
Fundamental research in physics has long been a prerequisite for computer scientists and engineers to design innovative products, such as laptops and cell phones. Technological innovations and fundamental research are both part of the so-called STEM fields (Science, Technology, Engineering, and Mathematics), which are known to substantially contrib...
Article
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Machines usually employ a guess-and-check strategy to analyze data: they take the data, make a guess, check the answer, adjust it with regard to the correct one if necessary, and try again on a new data set. An active learning environment guarantees better performance while training on less, but carefully chosen, data which reduces the costs of bot...
Preprint
Full-text available
In this study, we investigated the inhibition of SARS-CoV-2 spike glycoprotein with HIV drugs and their combinations. This glycoprotein is essential for the reproduction of the SARS-COV-2 virus, so its inhibition opens new avenues for the treatment of patients with COVID-19 disease. In doing so, we used the VINI in silico model of cancer, whose hig...
Article
Understanding the historical transformation of artistic styles implies the recognition of different stylistic properties. From a computer vision perspective, stylistic properties represent complex image features. In our work we explore the use of convolutional neural networks for learning features that are relevant for understanding properties of a...
Article
Full-text available
Recent research in machine learning pointed to the core problem of state-of-the-art models which impedes their widespread adoption in different domains. The models' inability to differentiate between noise and subtle, yet significant variation in data leads to their vulnerability to adversarial perturbations that cause wrong predictions with high c...
Article
With the emergence of large digitized fine art collections and the successful performance of deep learning techniques, new research prospects unfold in the intersection of artificial intelligence and art. In order to explore the applicability of deep learning techniques in understanding art images beyond object recognition and classification, we em...
Preprint
Full-text available
In this paper, we present a novel method for analysis and segmentation of laminar structure of the cortex based on tissue characteristics whose change across the gray matter facilitates distinction between cortical layers. We develop and analyze features of individual neurons to investigate changes in architectonic differentiation and present a nov...
Article
The increasing availability of large digitized fine art collections opens new research perspectives in the intersection of artificial intelligence and art history. Motivated by the successful performance of Convolutional Neural Networks (CNN) for a wide variety of computer vision tasks, in this paper we explore their applicability for art-related i...
Article
The increasing energy consumption of large-scale high performance resources raises technical and economical concerns. A reduction of consumed energy in multicore systems is possible to some extent with an optimized usage of computing and memory resources that is tailored to specific HPC applications. The essential step towards more sustainable cons...
Article
In this paper we investigate scalability issues of self-synchronization emergent properties, described with the pulse coupled oscillator model. As in the pulse coupled oscillator model the information propagation process is a gossip-like process, huge amounts of network traffic can be generated, causing thus scalability issues of the whole collecti...
Article
The IR emissivity of human skin is extremly high and measurements of infrared radiation emitted by the skin can be converted directly into accurate temperature value. This process is known as Body IR Thermography. Skin temperature increase associated with increased vascular flow and increased metabolism. In this paper a novel multi-resolution real-...
Article
Full-text available
Real-world attacks can be interpreted as the result of competitive interactions between networks, ranging from predator-prey networks to networks of countries under economic sanctions. Although the purpose of an attack is to damage a target network, it also curtails the ability of the attacker, which must choose the duration and magnitude of an att...
Article
Estimating the critical points at which complex systems abruptly flip from one state to another is one of the remaining challenges in network science. Due to lack of knowledge about the underlying stochastic processes controlling critical transitions, it is widely considered difficult to determine the location of critical points for real-world netw...
Article
Full-text available
Empirical estimation of critical points at which complex systems abruptly flip from one state to another is among the remaining challenges in network science. However, due to the stochastic nature of critical transitions it is widely believed that critical points are difficult to estimate, and it is even more difficult, if not impossible, to predic...
Conference Paper
With recent technological developments, modern computing systems are becoming more and more powerful. Common computers are capable of calculating more than 50,000 million instructions per second. Currently the biggest obstacle in computer usage is slow communication between the human and the computer. With innovation and development of novel (natur...
Conference Paper
Full-text available
The ever-increasing data production and availability in the field of bioinformatics demands a paradigm shift towards the utilization of novel solutions for efficient data storage and processing, such as the MapReduce data parallel programming model and the corresponding Apache Hadoop framework. Despite the evident potential of this model and existe...
Article
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Today we witness the exponential growth of scientific research. This fast growth is possible thanks to the rapid development of computing systems since its first days in 1947 and the invention of transistor till the present days with high performance and scalable distributed computing systems. This fast growth of computing systems was first observe...
Article
In this paper, a novel multi-resolution real-time 3D thermal imaging system as potential solution for a human body 3D thermal models standardisation is presented. The system consists of a high-resolution offline 3D scanner and a real-time low-resolution 3D scanner, both of them paired together with a thermal imaging camera. The emphasis of this pap...
Conference Paper
Full-text available
The ever-increasing energy consumption in large-scale distributed computing systems such as clusters, grids and clouds raises social, technical, economical, and environmental concerns. Therefore, designing novel energy-efficient approaches, to reduce energy consumption, at all levels of distributed system architecture is of great importance for the...
Conference Paper
Full-text available
Marine traffic and rapidly growing tourism in the Adriatic Sea region are the main reasons for investigating different weather phenomena and developing the prediction models that depend on distributed computing infrastructures. Weather phenomena like storms and waterspouts are common in the in the Mediterranean Basin and thus in the Adriatic Sea re...
Chapter
Full-text available
At the end of 2010, we are at the effective end of the second phase of research in the field of Social Networks (SNs) and aspects such as Human- to-Human (H2H) interactions have pretty much had their days as the Machine-to-Machine (M2M) interactions have now moved on. This chapter will provide a useful insight into the differences between those two...
Conference Paper
Full-text available
Cloud computing has revolutionized how availability and access to computing and storage resources is realized; it has made it possible to provision a large computational infrastructure in a matter of minutes, all through a web browser. What it has not yet solved is accessibility of a tool execution environment where tools and data can easily be add...
Article
Infrared (IR) thermography determines the surface temperature of an object or human body using thermal IR measurement camera. It is an imaging technology which is con tactless and completely non-invasive. These properties make IR thermography a useful method of analysis that is used in various industrial applications to detect, monitor and predict...
Article
The dissipation of thermal radiation can be observed using thermal infrared cameras which generate images based on the amount of input radiation belonging to a small part of the electromagnetic spectrum (with wavelengths from 7 μmto 15 μm). Since thermal imaging is a simple, contactless, non-invasive and inexpensive imaging method, it is widely app...
Article
Full-text available
This paper describes the implementation of a new dynamometer system with thermography monitoring of heat dissipation, and the implications of this new system in physiatry, rheumatology and neurology. The system includes a single data processing algorithm and the concept of motor hand function evaluation involving the determination of quantitative i...
Article
Full-text available
Major amount of thermal radiation emitted by objects is located in a small part of the infrared spectrum of electromagnetic radiation, called the thermal infrared spectrum, and can be observed and measured using thermal infrared measurement cameras. Measuring heat transfer by radiation has proven to be very valuable inmedicine. One such medical app...
Conference Paper
All objects emit infrared radiation at differing levels, depending on their temperature. Infrared thermal imaging is the technique of producing an image from infrared radiation. This thermal image represents two-dimensional distribution of the infrared radiation emitted by object displaying the object's temperatures. High performance computing data...
Conference Paper
Full-text available
In an Artificial Neural Network (ANN) a large number of highly interconnected simple nonlinear processing units work in parallel to solve a specific problem. Parallelism, modularity and dynamic adaptation are three characteristics typically associated with ANNs. Field Programmable Gate Array (FPGA) based reconfigurable computing architectures are w...
Conference Paper
Full-text available
Creating modular behaviours in JADE using a traditional method such as the FSM (Finite State Machine) can be a difficult task to achieve. The first issue with FSMs is that they do not allow reusability of logic in different contexts. Secondly, the FSMs do not lend themselves well to concurrency within the execution thread and thus eliminating the p...
Conference Paper
Modern advances in technology allow new telemonitoring systems for prevention, early diagnosis and management of chronic and degenerative conditions. These remote monitoring systems reduce the need for recurring visits to the hospital, allow physicians better insight into the patient's state and help determine the necessary level of care for each i...
Conference Paper
Thermal imaging is a non-invasive, non-contact functional imaging method used in temperature measurements. It provides an insight to metabolic and other processes within human body. In this paper a general simulation model that can be used to estimate the depth and size of the heat source embedded underneath the surface of an object is presented. S...
Conference Paper
Infrared (IR) thermography determines the surface temperature of an object or human body using IR camera. It is an imaging technology which is contactless and completely non-invasive. These properties make infrared thermography a useful method of analysis that is used in various industrial applications to detect, monitor and predict irregularities...
Conference Paper
Full-text available
We provide a description of the tools and techniques used in our analysis of the VAST 2008 Challenge dealing with mass movement of persons departing Isla Del Sue.no on boats for the United States during 2005-2007. We used visual analytics to explore migration patterns, characterize the choice and evolution of landing sites, characterize the geograp...

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Projects

Projects (3)
Project
The SCI-BUS project aims to ease the life of e-Scientists by creating a new science gateway customisation methodology based on the generic-purpose gUSE/WS-PGRADE portal family. The customised science gateways will enable scientists to focus on their work and exploit resources of main Distributed Computing Infrastructures (DCIs) without the need to deal with the underlying infrastructures' details. The project will provide gateway services for various types of user communities and for various NGI user communities. The gateway services will enable unified access to and seamless integration of the underlying networking, computing and data infrastructures and services for all the major DCI infrastructures used in Europe. The SCI-BUS project will provide a portlet repository to the user community and an application repository for the underlying custom applications. This technology will be used by the SCI-BUS project itself to create several customised (or domain-specific) science gateways for different user communities.
Project
Dew computing is an emerging new research area and has great potentials in applications. The definition of dew computing is: dew computing is an on-premises computer software/hardware organization paradigm in the cloud computing environment where the on-premises computer provides functionality that is independent of cloud services and is also collaborative with cloud services. This definition emphasizes two key features of dew computing: independence and collaboration. The goal of dew computing is to fully realize the potentials of on-premises computers and cloud services.