http___www.irb.hr_Istrazivanja_Zavodi-i-centri_Zavod-za-elektroniku_1.xml
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Division of Electronics Modern scientific research and technological advancement are based on the collection, presentation and analysis of large amounts of data. In the Department, we investigate, develop and implement complex measurement systems and computational methods for modeling and discovering knowledge from data. The work is strongly interdisciplinary and the results represent advances in the technical sciences and domains of applications. Predstojnik PhD Tomislav Šmuc The mission of the Department is the development of techniques and approaches capable of tackling data and information overload, a common problem for most scientific disciplines and contemporary technology environments. Our techniques and approaches encompass a blend of signal processing and machine learning data mining, with modern programming paradigms, knowledge acquisition and representation technologies. The main application disciplines include biomedical engineering, biology (genomics/proteomics), and intelligent instrumentation and process modeling. Participation in graduate and postgraduate education also plays an important role in our activities. Group research revolves around knowledge discovery within hot topics in modern biology, using novel data mining and machine learning paradigms and techniques.more » Development of machine learning algorithms and their applications in data mining and knowledge discovery tasks.more » - Analysis of stochastic signals, time series and data structures - Advanced measurement systems and signal processing techniques Nino Antulov-Fantulin Amir Dubravić dr.sc. Dragan Gamberger Rajko Horvat Ivan Ivek Damir Korenčić Math Ivan Marić Branka Medved-Rogina Ivan Michieli PhD. Matija Piškorec Strahil Ristov Peter Škoda dipl.ing. Tomislav Šmuc PhD A Knowledge based platform of services for supporting medical-clinical management of heart within elderly population - HEARTFAID HEARTFAID is a Research and Development project aimed at devising, developing and validating an innovative knowledge based platform of services, able to improve early diagnosis and to make more effective the medical-clinical management of heart diseases within elderly population. HEARTFAID aims at defining efficient and effective health care delivery organization and management models for the optimal management of the care in the field of cardiovascular diseases.more » Computational Intelligence Methods in Measurement Systems The goal of the project is to investigate the possibilities of development and application of the artificial intelligence methods and machine learning techniques in measurement systems ranging from the development of simple models to the synthesis of sophisticated measurement procedures and smart instruments capable not only to execute simple commands but to perform rather complex tasks. The research will be focused on algorithms and methods for reducing the processing time and the complexity of measurement procedures and for increasing the accuracy, flexibility and the reliability of both embedded and distributed measurement systems.more » e-LICO e-LICO is an EU FP7 collaborative (STREP) project under the call Intelligent Content and Semantics. in Data Mining and Data-Intensive Science". e-LICO goal is to build a virtual laboratory for interdisciplinary collaborative research in data mining and data-intensive sciences. The proposed e-lab comprises three layers: the e-science and data mining layers will form a generic research environment that can be adapted to different scientific domains by customizing the application layer.more » Machine learning of predictive models in computational biology Methods of computational knowledge discovery based on machine learning and data mining algorithms represent mainstream analytical support for diverse problems in biology. This project represents an effort to create and apply new methodologies and optimize the use of cutting-edge knowledge discovery techniques to solve scientific problems in targeted areas of molecular biology and biochemistry. The problems we are targeting are of interest for some very specific features: the number of variables for the description of an entity is typically very large, while the number of reliably annotated examples generally small.more » MLAA - Machine Learning Algorithms and their Application Machine learning algorithms are not only a powerful tool for knowledge discovery tasks but they may be useful also for structuring existing human knowledge and building decision support systems. The goal of the project is theoretical research in the field of machine learning and practical realization of intelligent data analysis methods as well as their application in natural sciences, medicine, business, and social sciences.more »
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Zavod za elektroniku Suvremena znanstvena istraživanja i tehnološki napredak zasnovani su na sakupljanju, prikazu i analizi velikih količina podataka. U Zavodu se istražuju, razvijaju i realiziraju složeni mjerni sustavi i računarski postupci modeliranja i otkrivanja znanja iz podataka. Rad je izrazito multidisciplinaran a rezultati predstavljaju doprinos u razvoju tehničkih znanosti i raznim područjima primjene. Predstojnik dr.sc. Tomislav Šmuc Misija Zavoda je rješavanje problema preopterećenosti podacima i informacijama, problema koji je zajednički večini znanstvenih područja i suvremenog tehnološkog razvoja. Naš pristup uključuje obradu signala, strojno učenje i dubinsku analizu podataka u kombinaciji sa suvremenim tehnikama sakupljanja i prikaza znanja. Glavna područja primjene obuhvaćaju biomedicinsko inženjerstvo, biologiju (genomiku/proteomiku) kao i inteligentnu instrumentaciju i modeliranje procesa. Sudjelovanje u dodiplomskom i poslijediplomskom obrazovanju je važan dio naših aktivnosti. Najznačajniji rezultati vezani su uz genomiku (prevalencija tzv.codon bias-a u prokariotskim genomima), otkrivanje lijekova (predviđanje aktivnosti i mehanizma djelovanja novih supstanci korištenjem javnih i institutskih baza eksperimentalnih podataka), funkcionalnu anotaciju gena i proteina.više » Razvoj postupaka strojnog učenja i njihova primjena u dubinskoj analizi podataka i otkrivanju znanja.više » Laboratorij za istraživanje slučajnih signala i procesa - Analiza stohastičkih signala, vremenskih i podatkovnih nizova - Napredni mjerni sustavi i metode obrade signala