IUS Publications

L. Judith Marcos-Zambrano, López-Molina, V. Manuel, Bakir-Gungor, B., Frohme, M., Karađuzović-Hadžiabdić, K., Klammsteiner, T., Ibrahimi, E., Lahti, L., Loncar-Turukalo, T., Dhamo, X., Simeon, A., Nechyporenko, A., Pio, G., Przymus, P., Sampri, A., Trajkovik, V., Lacruz-Pleguezuelos, B., Aasmets, O., Araujo, R., Anagnostopoulos, I., Aydemir, Ö., Berland, M., M. Calle, L., Ceci, M., Duman, H., Gündoğdu, A., Havulinna, A. S., Bra, K. Hama Najib, Kalluci, E., Karav, S., Lode, D., Lopes, M. B., May, P., Nap, B., Nedyalkova, M., Paciência, I., Pasic, L., Pujolassos, M., Shigdel, R., Susín, A., Thiele, I., Truică, C. - O., Wilmes, P., Yilmaz, E., Yousef, M., Claesson, M. Joakim, Truu, J., and Pau, E. Carrillo d, “A toolbox of machine learning software to support microbiome analysis”, Frontiers in Microbiology, vol. 14, 2023.

M. Sopić, Karađuzović-Hadžiabdić, K., Kardassis, D., Maegdefessel, L., Martelli, F., Meerson, A., Munjas, J., Niculescu, L. S., Stoll, M., Magni, P., and Devaux, Y., “Transcriptomic research in atherosclerosis: Unravelling plaque phenotype and overcoming methodological challenges”, Journal of Molecular and Cellular Cardiology Plus, vol. 6, p. 100048, 2023.

6.L. J. Marcos-Zambrano, Karađuzović-Hadžiabdić, K., T. Turukalo, L., and al., et, “Applications of machine learning in human microbiome studies: a review on feature selection, biomarker identification, disease prediction and treatment ”, Frontiers in Microbiology, vol. 12, 2021.

K. Karađuzović-Hadžiabdić and Peters, A., “Artificial intelligence in clinical decision-making for diagnosis of cardiovascular disease using epigenetics mechanisms”, in Epigenetics in Cardiovascular Disease, Elsevier: , 2021.

L. Badimon, Robinson, E. L., Jusic, A., Carpusca, I., deWindt, L. J., Emanueli, C., Ferdinandy, P., Gu, W., Gyöngyösi, M., Hackl, M., Karađuzović-Hadžiabdić, K., Lustrek, M., Martelli, F., Nham, E., Potočnjak, I., Satagopam, V., Schneider, R., Thum, T., and Devaux, Y., “Cardiovascular RNA markers and artificial intelligence may improve COVID-19 outcome: a position paper from the EU-CardioRNA COST Action CA17129Abstract”, Cardiovascular Research, vol. 117, no. 8, pp. 1823 - 1840, 2021.

K. Karađuzović-Hadžiabdić, Spahić, R., and Tahirović, E., “Evaluation of IBM Watson Natural Language Processing Service to predict influenza-like illness outbreaks from Twitter data”, Periodicals of Engineering and Natural Sciences (PEN), vol. 10, no. 1, p. 122, 2021.

A. Hromic-Jahjefendic, Ler, D., Međedović, D., Tahirović, E., Karamehmedović, E., Karađuzović-Hadžiabdić, K., Suljagić, M., Hadžiabdić, M., Rabiei, N., Palalic, R., and Durakovic, B., Master studies in Bioanalitical technologies : instructions for lecturers. Internacionalni univerzitet u Sarajevu, 2021.

E. Džaferović and Karađuzović-Hadžiabdić, K., “Air quality prediction using machine learning methods: A case study of Bjelave neighborhood, Sarajevo, BiH”, in Days of the Bosnian-Herzegovinian American Academy of Arts and Sciences (BHAAAS), 2020, Advanced Technologies, Systems, and Applications V., vol. 142.

E. Džaferović and Karađuzović-Hadžiabdić, K., Lecture Notes in Networks and SystemsAdvanced Technologies, Systems, and Applications VAir Quality Prediction Using Machine Learning Methods: A Case Study of Bjelave Neighborhood, Sarajevo, BiH, vol. 142. Cham: Springer International Publishing, 2020, pp. 423 - 434.

C. Gomes, Ágg, B., Andova, A., Arslan, S., Baker, A., Barteková, M., Beis, D., Betsou, F., Wettinger, S., Bugarski, B., Condorelli, G., Silva, G., Danilin, S., Gonzalo-Calvo, D., Buil, A., Carmo-Fonseca, M., Enguita, F., Felekkis, K., Ferdinandy, P., Gyöngyösi, M., Hackl, M., Karađuzović-Hadžiabdić, K., Hellemans, J., Heymans, S., Hlavackova, M., Hoydal, M., Jankovic, A., Jusic, A., Kardassis, D., Kerkelä, R., Kuster, G., Lakkisto, P., Leszek, P., Lustrek, M., Maegdefessel, L., Martelli, F., Novella, S., O’Brien, T., Papaneophytou, C., Pedrazzini, T., Pinet, F., Popescu, O., Potočnjak, I., Robinson, E., Sasson, S., Scholz, M., Simionescu, M., Stoll, M., Varga, Z., Vinciguerra, M., Xuereb, A., Yilmaz, M., Emanueli, C., Devaux, Y., and CAonesevenonetwonine), onbehalf of, “Catalyzing Transcriptomics Research in Cardiovascular Disease: The CardioRNA COST Action CA17129”, Non-Coding RNA, vol. 5, no. 2, p. 31, 2019.

A. Kutlay and Karađuzović-Hadžiabdić, K., “Static Based Classification of Malicious Software Using Machine Learning Methods”, Advanced Technologies, Systems, and Applications IV -Proceedings of the International Symposium on Innovative and Interdisciplinary Applications of Advanced Technologies (IAT 2019). Springer Nature, 2019.

K. Karađuzović-Hadžiabdić, Telalovic, J. Hasic, and Mantiuk, R., “Subjective and Objective Evaluation of Multi-exposure High Dynamic Range Image Deghosting Methods”, The Eurographics Association 2016. 2016.

K. Karađuzović-Hadžiabdić, Telalovic, J. Hasic, and Mantiuk, R., “Subjective and Objective Evaluation of Multi-exposure High Dynamic Range Image Deghosting Methods”, Eurographics. 2016.

K. Karađuzović-Hadžiabdić, Telalovic, J. Hasic, and Mantiuk, R., “Evaluation of noise suppression and luminance reconstruction in high dynamic range image deghosting methods”, Information, Communication and Automation Technologies (ICAT), 2015 XXV International Conference on Information, Communication and Automation Technologies. 2015.

K. Karađuzović-Hadžiabdić, Telalovic, J. Hasic, and Mantiuk, R., “Evaluation of noise suppression and luminance reconstruction in high dynamic range image deghosting methods”, 2015 XXV International Conference on Information, Communication and Automation Technologies (ICAT). 2015.

K. Karađuzović-Hadžiabdić and Gagula-Palalic, S., “Chromosome Polarity Determination Based on the Total Length and Centromere Location Using Machine Learning Algorithms”, Southeast Europe Journal of Soft computing, vol. 4, no. 2, 2014.

K. Karađuzović-Hadžiabdić and Gagula-Palalic, S., “Chromosome Polarity Determination Based on the Total Length and Centromere Location Using Machine Learning Algorithms”, South East Journal of Soft Computing, vol. 3, no. 2, 2014.

K. Karađuzović-Hadžiabdić and Koker, R., “Diagnosis of Heart Disease using a Committee Machine Neural Network”, in The 9th International Conference on Appliced Informatics, (ICAI 2014), Eger, Hungary, 2014.

K. Karađuzović-Hadžiabdić, Telalovic, J. Hasic, and Mantiuk, R., “Expert evaluation of deghosting algorithms for multi-exposure high dynamic range imaging”, in Second International Conference and SME Workshop on HDR imaging (HDRi2014), Sarajevo, Bosnia and Hercegovina, 2014.

K. Karađuzović-Hadžiabdić, Telalovic, J. Hasic, and Mantiuk, R., “Expert evaluation of deghosting algorithms for multi-exposure high dynamic range imaging”. In Proceedings of Second International Conference and SME Workshop on HDR imaging (HDRi2014), Sarajevo, Bosnia and Herzegovina, 2014.

K. Karađuzović-Hadžiabdić, Telalovic, J. Hasic, and Mantiuk, R., “Comparison of Deghosting Algorithms for Multi-exposure High Dynamic Range Imaging”. In Proceedings of Spring Conference on Computer Graphics 2013, (SCCG 2013), ACM 2013, pp. 1-8 May 2013, Slovakia, 2013.

K. Karađuzović-Hadžiabdić, Telalovic, J. Hasic, and Mantiuk, R., “Comparison of Deghosting Algorithms for Multi-exposure High Dynamic Range Imaging”, in Spring Conference on Computer Graphics, New York, NY, USA, 2013.

K. Karađuzović-Hadžiabdić and Telalovic, J. Hasic, “Report: State-of-the-Art Deghosting Algorithms for High Dynamic Range Imaging”, Southeast Europe Journal of Soft Computing, vol. 2, no. 2, 2013.

K. Karađuzović-Hadžiabdić and Telalovic, J. Hasic, “State-of-the-art deghosting algorithms for high dynamic range imaging”, in European Conference in Technology and Society, (EuroTecS 2013), Sarajevo, Bosnia and Hercegovina, 2013.

K. Karađuzović-Hadžiabdić and Hasic, J., “State-of-the-art deghosting algorithms for high dynamic range imaging”. European Conference in Technology and Society, (EuroTecS 2013), 27-28 June, 2013, Sarajevo, Bosnia and Herzegovina, 2013.

K. Karađuzović-Hadžiabdić, “Classification of chromosomes using nearest neighbor classifier”, Southeast Europe Journal of Soft Computing, vol. 1, no. 2, 2012.

K. Karađuzović-Hadžiabdić, “Modelling and Analysing the TLS protocol using Casper and FDR”, in Proceedings of IEEE 2012 IX International Symposium on Telecommunications, (BIHTEL), Sarajevo, Bosnia and Hercegovina, 2012.

M. Can, Gagula-Palalic, S., Kusakci, A. Osman, Husic-Selman, A., and Karađuzović-Hadžiabdić, K., “Southeast Europe Journal of Soft Computing”. 2012.

M. Can and Karađuzović-Hadžiabdić, K., “Teaching Neural Networks to Classify the Authors of Texts”, Southeast Europe Journal of Soft Computing, vol. 1, no. 1, 2012.

M. Can, Karađuzović-Hadžiabdić, K., and Demir, N. Merve, “Teaching Neural Networks to Detect Authors of Texts”, in 9thInternational Congress on Knowledge, Economy & Management, Sarajevo, Bosnia and Hercegovina, 2011.

M. Can and Karađuzović-Hadžiabdić, K., “Teaching Neural Networks to Detect the Authors of Texts Using Lexical Descriptors”, 9th International Conference on Knowledge, Economy & Management Proceedings. 2011.

H. Memic, Husagic-Selman, A., and Karađuzović-Hadžiabdić, K., “Triadic patterns of friendships in YouTube groups”, Budapest, Hungary, 2011.

H. Memic, Husagic-Selman, A., and Karađuzović-Hadžiabdić, K., “Triadic Patterns of Friendships in YouTube Groups”, in 12th IEEE International Symposium on Computational Intelligence and Informatics, (ICAT 2011), Sarajevo, Bosnia and Hercegovina, 2011.

K. Karađuzović-Hadžiabdić and Koker, R., “Design and Implementation of a Vision System for Elderly-Feeding-Chair Robot”, in The IV International Scientific and Technical Conference "Computer Science and Information Technologies" (CSIT'2009), Lviv, Ukraine, 2009.