1527 items

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  On the distribution modulo 1 of the sum of powers of a Salem number cite

  Dragan Stankov (2016)

  It is well known that the sequence of powers of a Salem number θ, modulo 1, is dense in the unit interval, but is not uniformly distributed. Generalizing a result of Dupain, we determine, explicitly, the repartition function of the sequence , where P is a polynomial with integer coefficients and θ is quartic. Also, we consider some examples to illustrate the method of determination.

  Algebraic integer, the house of algebraic integer, maximal modulus, reciprocal polynomial, primitive polynomial, Schinzel-Zassenhaus conjecture, Mahler measure, method of least squares, cyclotomic polynomials

  Dragan Stankov. "On the distribution modulo 1 of the sum of powers of a Salem number" in Comptes rendus Mathematique (2016). https://doi.org/10.1016/j.crma.2016.03.012 М23

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  The Reciprocal Algebraic Integers Having Small House cite

  Dragan Stankov (2021)

  Algebraic integer, the house of algebraic integer, maximal modulus, reciprocal polynomial, primitive polynomial, Schinzel-Zassenhaus conjecture, Mahler measure, method of least squares, cyclotomic polynomials

  Dragan Stankov. "The Reciprocal Algebraic Integers Having Small House" in Experimental Mathematics (2021). https://doi.org/ 10.1080/10586458.2021.1982425 М22

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  Multihazard Exposure Assessment on the Valjevo City Road Network cite

  Miloš Marjanović, Biljana Abolmasov, Svetozar Milenković, Uroš Đurić, Jelka Krušić, Mileva Samardžić Petrović (2019)

  Prirodni hazardi, izloženost, klizišta, poplave, bujice, GIS, R

  Miloš Marjanović, Biljana Abolmasov, Svetozar Milenković, Uroš Đurić, Jelka Krušić, Mileva Samardžić Petrović. "Multihazard Exposure Assessment on the Valjevo City Road Network" in Spatial Modeling in GIS and R for Earth and Environmental Sciences, Elsevier Inc (2019). https://doi.org/10.1016/B978-0-12-815226-3.00031-4. М14

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  Tectonic evolution of the Vršac Mts. (NE Serbia): Inferences from field kinematic and microstructural investigations cite

  Uroš Stojadinović, Nemanja Krstekanić, Bojan Kostić, Marija Ružić, Aleksa Luković (2021)

  The Vršac Mts. in NE Serbia represent the key area to investigate structural relations between the Northern Serbo-Macedonian Subunit and Supragetic Unit of the Dacia Mega-Unit. The geodynamic events during the Variscan orogeny in the Late Paleozoic colligated the two units and led to their metamorphic differentiation. The Late Cretaceous extension exhumed the medium-grade Serbo-Macedonian metamorphic rocks and structurally juxtaposed them against the low-grade metamorphosed basement of the Supragetic Unit along an E-dipping shear zone, which outcrops in the ...

  severna srpsko-makedonska subjedinica, supragetikum, kinematska analiza, multifazna ekstenzionalna deformacija

  Uroš Stojadinović, Nemanja Krstekanić, Bojan Kostić, Marija Ružić, Aleksa Luković . "Tectonic evolution of the Vršac Mts. (NE Serbia): Inferences from field kinematic and microstructural investigations" in Geologica Carpathica, Central Library of the Slovak Academy of Sciences (2021). https://doi.org/https://doi.org/10.31577/GeolCarp.72.5.3 М23

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  Concepts for Improving Machine Learning Based Landslide Assessment cite

  Miloš Marjanović, Mileva Samardžić Petrović, Biljana Abolmasov, Uroš Đurić (2019)

  Katastar klizišta, Podložnost, Hazard, Mašinsko učenje, Uzorkovanje, Validacija

  Miloš Marjanović, Mileva Samardžić Petrović, Biljana Abolmasov, Uroš Đurić. "Concepts for Improving Machine Learning Based Landslide Assessment" in Natural Hazards GIS-based Spatial Modeling Using Data Mining Techniques, Advances in Natural and Technological Hazards Research, volume 48, Springer Nature Switzerland AG 2019 (2019). https://doi.org/10.1007/978-3-319-73383-8_2 М14

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  Preliminary regional landslide susceptibility assessment using limited data cite

  Igor Peshevski, Milorad Jovanovski, Biljana Abolmasov, Jovan Papic, Uroš Đurić, Miloš Marjanović, Ubydul Haque, Natasha Nedelkovska (2019)

  In this paper a heuristic approach for preliminary regional landslide susceptibility assessment using limited amount of data is presented. It is called arbitrary polynomial method and takes into account 5 landslide conditioning parameters: lithology, slope inclination, average annual rainfall, land use and maximum expected seismic intensity. According to the method, in the first stage, a gradation is performed for each of the carefully selected conditioning parameters by assigning so called rating points to the grid cells on which the ...

  klizišta, podložnost

  Igor Peshevski, Milorad Jovanovski, Biljana Abolmasov, Jovan Papic, Uroš Đurić, Miloš Marjanović, Ubydul Haque, Natasha Nedelkovska. "Preliminary regional landslide susceptibility assessment using limited data" in Geologica Croatica , Croatian Geological Society (2019). https://doi.org/10.4154/gc.2019.03 М23

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  Machine learning based landslide assessment of the Belgrade metropolitan area: Pixel resolution effects and a cross-scaling concept cite

  Uroš Đurić, Miloš Marjanović, Zoran Radić, Biljana Abolmasov (2019)

  Improvements of Machine Learning-based landslide prediction models can be made by optimizing scale, customizing training samples to provide sets with the best examples, feature selection, etc. Herein, a novel approach, named Cross-Scaling, is proposed that includes the mixing of training and testing set resolutions. Hypothetically, training on a coarser resolution dataset and testing the model on a finer resolution should help the algorithm to better generalize ambiguous examples of landslide classes and yield fewer over/underestimations in the model. This ...

  klizišta, podložnost, mašinsko učenje

  Uroš Đurić, Miloš Marjanović, Zoran Radić, Biljana Abolmasov. " Machine learning based landslide assessment of the Belgrade metropolitan area: Pixel resolution effects and a cross-scaling concept" in Engineering Geology , Elsevier (2019). https://doi.org/10.1016/j.enggeo.2019.05.007 М21а

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  A Twitter Corpus and Lexicon for Abusive Speech Detection in Serbian cite

  Danka Jokić, Ranka Stanković, Cvetana Krstev, Branislava Šandrih (2021)

  Uvredljivi govor na društvenim medijima, uključujući psovke, pogrdni govor i govor mržnje, dostigao je nivo pandemije. Sistem koji bi bio u stanju da detektuje takve tekstove mogao bi da pomogne da internet i društveni mediji postanu bolji virtuelni prostor sa više poštovanja. Istraživanja i komercijalna primena u ovoj oblasti do sada su bili fokusirani uglavnom na engleski jezik. Ovaj rad predstavlja rad na izgradnji AbCoSER-a, prvog korpusa uvredljivog govora na srpskom jeziku. Korpus se sastoji od 6.436 ručno označenih ...

  uvredljivi jezik, govor mržnje, srpski, tviter, leksikon, korpus

  Danka Jokić, Ranka Stanković, Cvetana Krstev, Branislava Šandrih. "A Twitter Corpus and Lexicon for Abusive Speech Detection in Serbian" in 3rd Conference on Language, Data and Knowledge (LDK 2021), MDPI AG (2021). https://doi.org/10.4230/OASIcs.LDK.2021.13 М33

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  FrameNet Lexical Database: Presenting a Few Frames Within the Risk Domain cite

  Aleksandra Marković, Ranka Stanković, Natalija Tomić, Olivera Kitanović (2021)

  U radu se daje kratak prikaz teorije semantike okvira, na kojoj je zasnovana leksička baza Frejmnet. Predstavljena je koncepcija ove mreže, kao i mogućnosti njene primene. Predstavljena je i leksička analiza koja se primenjuje u projektu izrade Frejmneta i ukazano na razlike između analize zasnovane na okviru u odnosu na analizu zasnovanu na reči. Zatim je prikazano nekoliko povezanih okvira koje prizivaju reči iz domena rizika. U radu je predstavljena i platforma NLTК pomoću koje se mogu koristiti ...

  Srpski jezik, semantika okvira, FrameNet, scenario rizika, rudarski korpus, obrada prirodnog jezika

  Aleksandra Marković, Ranka Stanković, Natalija Tomić, Olivera Kitanović. "FrameNet Lexical Database: Presenting a Few Frames Within the Risk Domain" in Infotheca, Faculty of Philology, University of Belgrade (2021). https://doi.org/10.18485/infotheca.2021.21.1.1 М53

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  Towards Automatic Definition Extraction for Serbian cite

  Ranka Stanković, Cvetana Krstev, Rada Stijović, Mirjana Gočanin, Mihailo Škorić (2021)

  U radu su prikazani preliminarni rezultati automatske ekstrakcije kandidata za definicije rečnika iz nestrukturiranih tekstova na srpskom jeziku u cilju ubrzanja razvoja rečnika. Definicije u rečniku Srpske akademije nauka i umetnosti (SANU) korišćene su za modelovanje različitih tipova definicija (opisnih, gramatičkih, referentnih i sinonimskih) koje imaju različite sintaksičke i leksičke karakteristike. Korpus istraživanja sastoji se od 61.213 definicija imenica, koje su analizirane korišćenjem morfoloških e-rečnika i lokalnih gramatika implementiranih kao pretvarači konačnih stanja u paketu za obradu korpusa otvorenog ...

  Ranka Stanković, Cvetana Krstev, Rada Stijović, Mirjana Gočanin, Mihailo Škorić. "Towards Automatic Definition Extraction for Serbian" in Proceedings of the XIX EURALEX Congress of the European Assocition for Lexicography: Lexicography for Inclusion (Volume 2). 7-9 September (virtual), Democritus University of Thrace (2021) М33

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  Serbian NER&Beyond: The Archaic and the Modern Intertwinned cite

  Branislava Šandrih Todorović, Cvetana Krstev, Ranka Stanković, Milica Ikonić Nešić (2021)

  U ovom radu predstavljamo srpski književni korpus koji se razvija pod okriljem COST Akcije „Distant Reading for European Literary History” CA16204. Koristeći ovaj korpus romana napisanih pre više od jednog veka, razvili smo i učinili javno dostupnim Sistem za prepoznavanje imenovanih entiteta (NER) obučen da prepozna 7 različitih tipova imenovanih entiteta, sa konvolucionom neuronskom mrežom (CNN), koja ima F1 rezultat od ≈91% na test skupu podataka. Ovaj model je dalje ocenjen na posebnom skupu podataka za evaluaciju. Završavamo poređenje ...

  Branislava Šandrih Todorović, Cvetana Krstev, Ranka Stanković, Milica Ikonić Nešić. "Serbian NER&Beyond: The Archaic and the Modern Intertwinned" in Proceedings of the Conference Recent Advances in Natural Language Processing - Deep Learning for Natural Language Processing Methods and Applications, INCOMA Ltd. Shoumen, BULGARIA (2021). https://doi.org/10.26615/978-954-452-072-4_141 М33

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  Influence of DEM resolution on numerical modelling of debris flows in RAMMS - Selanac case study cite

  Jelka Krušić, Biljana Abolmasov, Mileva Samardžić Petrović (2019)

  Debris flows induced by intensive rainfall represent very hazardous phenomena in many parts of the World. Methods for prediction of runout distance of flow like mass movements are different and depending on the input data, rheology, and available or appropriate numerical solution. However, sometimes it is not easy to obtain pre event and post event high-resolution data in the rural or mountainous area. Thus, the topology of terrain is the most important input parameter for the every real case ...

  tecišta, modeliranje, RAMMS, DEM

  Jelka Krušić, Biljana Abolmasov, Mileva Samardžić Petrović. "Influence of DEM resolution on numerical modelling of debris flows in RAMMS - Selanac case study" in 4th Regional Symposium on Landslides in the Adriatic Balkan Region, 23-25 October 2019, Sarajevo, Bosnia and Herzegovina, Geotechnical Society of Bosnia and Herzegovina (2019). https://doi.org/ 10.35123/ReSyLAB_2019 М33

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  Named Entity Recognition for Distant Reading in ELTeC cite

  Francesca Frontini, Carmen Brando, Joanna Byszuk, Ioana Galleron, Diana Santos, Ranka Stanković (2020)

  Akcija COST „Udaljeno čitanje za evropsku književnu istoriju“, koja je počela 2017. godine, ima među svojim glavnim ciljevima stvaranje višejezične zbirke evropskih književnih tekstova (ELTeC) otvorenog koda. U ovom radu predstavljamo rad koji je obavljen na ručnom označavanju selekcije ELTeC kolekcije za imenovane entitete, kao i na proceni postojećih alata za prepoznavanje imenovanih entiteta u pogledu njihove sposobnosti da automatski urade takve anotacije. U poslednjem paragrafu se razmatraju zajedničke tačke između ove inicijative i CLARIN-a.

  Francesca Frontini, Carmen Brando, Joanna Byszuk, Ioana Galleron, Diana Santos, Ranka Stanković. "Named Entity Recognition for Distant Reading in ELTeC" in CLARIN Annual Conference 2020, Oct 2020, Virtual Event, France, CLARIN (2020) М33

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  EUROLAN 2021: Introduction to Linked Data for Linguistics Online Training School cite

  Milan Dojchinovski, Julia Bosque Gil, Jorge Gracia, Ranka Stanković (2021)

  Prva škola za obuku polaznika koju je organizovala COST akcija NexusLinguarum održana je od 8. do 12. februara 2021. godine sa ciljem da studenti, istraživači i stručnjaci nauče osnove lingvističke nauke o podacima. Tokom obuke polaznici su se upoznali sa širokim spektrom tema: od semantičkog veba, RDF -a i ontologija, do modeliranja i pretraživanja jezičkih podataka pomoću najsavremenijih ontoloških modela i alata. Škola je održana u okviru serije letnjih škola EUROLAN-a i organizovalo ju je virtuelno (onlajn) nekoliko instituta; ...

  nauka o lingvističkim podacima, povezani podaci u lingvistici, jezički podaci, EUROLAN, NexusLinguarum, COST akcija, škola za obuku

  Milan Dojchinovski, Julia Bosque Gil, Jorge Gracia, Ranka Stanković. "EUROLAN 2021: Introduction to Linked Data for Linguistics Online Training School" in Infotheca, Faculty of Philology, University of Belgrade (2021). https://doi.org/10.18485/infotheca.2021.21.1.7 М53

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  Part of Speech Tagging for Serbian language using Natural Language Toolkit cite

  Ranka Stanković, Boro Milovanović (2020)

  Dok se razvijaju složeni algoritmi za NLP (obrada prirodnog jezika), osnovni zadaci kao što je označavanje ostaju veoma važni i još uvek izazovni. NLTK (Natural Language Toolkit) je moćna Python biblioteka za razvoj programa zasnovanih na NLP-u. Pokušavamo da iskoristimo ovu biblioteku za kreiranje PoS (vrsta reči) oznake za savremeni srpski jezik. Jedanaest različitih modela je kreirano korišćenjem NLTK API-ja za označavanje. Najbolji modeli se transformišu sa Brill tagerom da bi se poboljšala tačnost. Obučili smo modele na označenom ...

  obrada prirodnog jezika, mašinsko učenje, neuronske mreže

  Ranka Stanković, Boro Milovanović. "Part of Speech Tagging for Serbian language using Natural Language Toolkit" in 7th International Conference on Electrical, Electronic and Computing Engineering IcETRAN 2020, Academic Mind, Belgrade (2020) М33

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  A Multilingual Evaluation Dataset for Monolingual Word Sense Alignment cite

  Sina Ahmadi, John P McCrae, Sanni Nimb, Fahad Khan, Monica Monachini, Bolette S Pedersen, Thierry Declerck, Tanja Wissik, Andrea Bellandi, Irene Pisani, [...] Ranka Stanković and others (2020)

  Aligning senses across resources and languages is a challenging task with beneficial applications in the field of natural language processing and electronic lexicography. In this paper, we describe our efforts in manually aligning monolingual dictionaries. The alignment is carried out at sense-level for various resources in 15 languages. Moreover, senses are annotated with possible semantic relationships such as broadness, narrowness, relatedness, and equivalence. In comparison to previous datasets for this task, this dataset covers a wide range of languages ...

  lexical semantic resources, sense alignment, lexicography, language resource

  Sina Ahmadi, John P McCrae, Sanni Nimb, Fahad Khan, Monica Monachini, Bolette S Pedersen, Thierry Declerck, Tanja Wissik, Andrea Bellandi, Irene Pisani, [...] Ranka Stanković and others . "A Multilingual Evaluation Dataset for Monolingual Word Sense Alignment" in Proceedings of the 12th Conference on Language Resources and Evaluation (LREC 2020), Marseille, European Language Resources Association (ELRA) (2020) М33

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  Extreme Rainfall Event and Its Aftermath Analysis—IPL 210 Project Progress Report cite

  Biljana Abolmasov, Mileva Samardžić Petrović, Ranka Stanković, Miloš Marjanović, Jelka Krušić, Uroš Đurić (2021)

  Landslides, Extreme precipitation, Data analysis, IPL project report

  Biljana Abolmasov, Mileva Samardžić Petrović, Ranka Stanković, Miloš Marjanović, Jelka Krušić, Uroš Đurić. "Extreme Rainfall Event and Its Aftermath Analysis—IPL 210 Project Progress Report" in Understanding and Reducing Landslide Disaster Risk, Springer International Publishing (2021). https://doi.org/10.1007%2F978-3-030-60196-6_19 М14

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  Infotheca (Q25460443) in Wikidata cite

  Ranka Stanković, Lazar Davidović (2021)

  Vikipodaci su baza znanja Zadužbine Vikimedija koja predstavlja zajednički izvor različitih vrsta podataka koje koriste ne samo drugi Vikipedijini projekti, već sve više i brojne aplikacije semantičkog veba. U ovom radu ćemo prezentovati primer integracije Vikipodataka sa digitalnim bibliotekama i eksternim sistemima, kao i mogućnost ubrzanja pripreme i unosa podataka na primeru radova iz časopisa za digitalnu humanistiku Infoteka.

  semantički veb,otvoreni povezani podaci, vikpodaci,Infoteka, metapodaci časopisa

  Ranka Stanković, Lazar Davidović. "Infotheca (Q25460443) in Wikidata" in Infotheca, Faculty of Philology, University of Belgrade (2021). https://doi.org/10.18485/infotheca.2021.21.1.5 М53

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  Old or New, We Repair, Adjust and Alter (Texts) cite

  Cvetana Krstev, Ranka Stanković (2020)

  U ovom radu predstavljamo kako se e-rečnici i kaskade transduktora konačnih stanja implementirani u alatu Unitex mogu koristiti za rešavanje tri problema transformacije teksta: ispravljanje tekstova nakon OCR-a, vraćanje dijakritičkih znakova i prebacivanje između različitih jezičkih varijanti.

  ispravka teksta, OCR greške, restauracija dijakritika , jezičke varijante, elektronski rečnik, transduktori konačnih stanja

  Cvetana Krstev, Ranka Stanković. "Old or New, We Repair, Adjust and Alter (Texts)" in Infotheca, Faculty of Philology, University of Belgrade (2020). https://doi.org/10.18485/infotheca.2019.19.2.3 М53

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  Open Educational Resources in Serbia cite

  Ivan Obradović, Ranka Stanković, Marija Blagojević, Danijela Milošević (2020)

  Open educational resources, BAEKTEL, Metadata portal

  Ivan Obradović, Ranka Stanković, Marija Blagojević, Danijela Milošević. "Open Educational Resources in Serbia" in Current State of Open Educational Resources in the “Belt and Road” Countries, Springer Singapore (2020). https://doi.org/10.1007/978-981-15-3040-1_10 М14