Bojić, I., Lipić, T. & Podobnik, V. (2012) Bio-inspired Clustering and Data Diffusion in Machine Social Networks. U: Abraham, A. (ur.) Computational Social Networks: Mining and Visualization. London, Springer Verlag, str. 51-79.

Stipić, D., Bradac, M., Lipić, T. & Podobnik, B. (2021) Effects of quarantine disobedience and mobility restrictions on COVID-19 pandemic waves in dynamical networks. Chaos, solitons and fractals, 150, 111200, 16 doi:10.1016/j.chaos.2021.111200.

Tomić, D., Davidović, D., Szasz, A., Rezeli, M., Pirkić, B., Petrik, J., Bačić Vrca, V., Janđel, V., Lipić, T., Skala, K., Mesarić, J., Milković Periša, M., Šojat, Z. & Medved Rogina, B. (2021) The screening and evaluation of potential clinically significant HIV drug combinations against the SARS-CoV-2 virus. Informatics in Medicine Unlocked, 23, 100529, 7 doi:10.1016/j.imu.2021.100529.

Tomić, D., Davidović, D., Szasz, A., Rezeli, M., Pirkić, B., Petrik, J., Bačić Vrca, V., Janđel, V., Lipić, T., Skala, K., Mesarić, J., Milković Periša, M., Šojat, Z. & Medved Rogina, B. (2021) The screening and evaluation of potential clinically significant HIV drug combinations against the SARS-CoV-2 virus. Informatics in Medicine Unlocked, 23, 100529, 7 doi:10.1016/j.imu.2021.100529.

Barić, D., Fumić, P., Horvatić, D. & Lipić, T. (2021) Benchmarking attention-based interpretability of deep learning in multivariate time series predictions. Entropy (Basel. Online), 23 (2), 143, 23 doi:10.3390/e23020143.

Kulikovskikh, I., Lipić, T. & Šmuc, T. (2020) From Knowledge Transmission to Knowledge Construction: A Step towards Human-Like Active Learning. Entropy (Basel. Online), 22 (8), 906, 11 doi:10.3390/e22080906.

Podobnik, B., Christopher Crawford, G., Lichtenstein, B., Lipić, T., Wild, D., Zhang, X. & Stanley, H. (2020) The new wealth of nations: How STEM fields generate the prosperity and inequality of individuals, companies, and countries. Chaos, solitons and fractals, 141, 110323, 8 doi:10.1016/j.chaos.2020.110323.

Cetinić, E., Lipić, T. & Grgić, S. (2020) Learning the Principles of Art History with convolutional neural networks. Pattern recognition letters, 129, 56-62 doi:10.1016/j.patrec.2019.11.008.

Kulikovskikh, I., Prokhorov, S., Lipić, T., Legović, T. & Šmuc, T. (2019) BioGD: Bio-inspired robust gradient descent. PLoS One, 14 (7), e0219004, 19 doi:10.1371/journal.pone.0219004.

Cetinić, E., Lipić, T. & Grgić, S. (2019) A Deep Learning Perspective on Beauty, Sentiment, and Remembrance of Art. IEEE access, 7, 73694-73710 doi:10.1109/ACCESS.2019.2921101.

Cetinić, E., Lipić, T. & Grgić, S. (2018) Fine-tuning Convolutional Neural Networks for fine art classification. Expert systems with applications, 114, 107-118 doi:10.1016/j.eswa.2018.07.026.

Skala, K., Lipić, T., Sović, I. & Grubišić, I. (2015) Dynamic thermal models for human body dissipation. Periodicum biologorum, 117 (1), 167-176.

Podobnik, B., Horvatić, D., Lipić, T., Perc, M., Buldu, J. & Stanley, H. (2015) The cost of attack in competing networks. Journal of the royal society interface, 12 (112), 20150770-1 doi:10.1098/rsif.2015.0770.

Podobnik, B., Lipić, T., Horvatić, D., Majdandzic, A., Bishop, S. & Stanley, H. (2015) Predicting the Lifetime of Dynamic Networks Experiencing Persistent Random Attacks. Scientific Reports, 5 (14286), 14286-1 doi:10.1038/srep14286.

Davidović, D., Depolli, M., Lipić, T., Skala, K. & Trobec, R. (2015) Energy Efficiency of Parallel Multicore Programs. Scalable Computing: Practice and Experience, 16 (4), 437-448 doi:10.12694/scpe.v16i4.1132.

Skala, K., Davidović, D., Lipić, T. & Sović, I. (2014) G-Phenomena as a Base of Scalable Distributed Computing — G-Phenomena in Moore’s Law. International Journal of Internet and Distributed Systems, 2 (1), 1-4 doi:10.4236/ijids.2014.21001.

Skala, K., Lipić, T., Sović, I., Grubišić, I. & Grbeša, I. (2013) Towards 3D thermal models standardisation for human body in motion. Quantitative InfraRed Thermography Journal, 10 (2), 207-221 doi:10.1080/17686733.2013.815493.

Grubišić, I., Gjenero, L., Lipić, T., Sović, I. & Skala, T. (2011) Medical 3D thermography system. Periodicum biologorum, 113 (4), 401-406.

Skala Kavanagh, H., Dubravić, A., Grazio, S., Lipić, T. & Sović, I. (2011) Computer supported thermography monitoring of hand strength evaluation by electronic dynamometer. Periodicum biologorum, 113 (4), 433-437.

Sović, I., Lipić, T., Gjenero, L., Grubišić, I. & Skala, K. (2011) Experimental verification of heat source parameter stimation from 3D thermograms. Periodicum biologorum, 113 (4), 417-423.

Skala, K., Lipić, T., Sović, I., Gjenero, L. & Grubišić, I. (2011) 4D Thermal Imaging System for Medical Applications. Periodicum biologorum, 113 (4), 407-416.

Bojić, I., Lipić, T., Kušek, M. & Ježić, G. (2011) Extending the JADE Agent Behaviour Model with JBehaviourTrees Framework. Lecture Notes in Computer Science, 6682, 159-168 doi:10.1007/978-3-642-22000-5_18.

Žaja, M., Lipić, T. & Čavrak, I. (2021) Benchmarking Apache Beam for IoT Applications. U: Skala, K. (ur.)44rd MIPRO 2021 International Convention - Proceedings.

Guberović, E., Lipić, T. & Čavrak, I. (2021) Dew Intelligence: Federated learning perspective. U: 2021 IEEE 45th Annual Computers, Software, and Applications Conference (COMPSAC) doi:10.1109/COMPSAC51774.2021.00274.

Cetinić, E., Lipić, T. & Grgić, S. (2018) How Convolutional Neural Networks Remember Art. U: Planinšič, P. & Gleich, D. (ur.)Proceedings of the International Conference on Systems, Signals and Image Processing - IWSSIP 2018 doi:10.1109/IWSSIP.2018.8439497.

Bojić, I., Lipić, T. & Kušek, M. (2014) Scalability Issues of Firefly-Based Self-Synchronization in Collective Adaptive Systems. U: Hart, E. (ur.)Proceedings of the Eighth IEEE International Conference on Self- Adaptive and Self-Organizing Systems Workshops (SASOW). (https://www.bib.irb.hr/798935).

Lipic, T., Skala, K. & Afgan, E. (2014) Deciphering Big Data Stacks: An Overview of Big Data Tools. U: Proceedings of the Fifth International Workshop on Big Data Analytics: Challenges, and Opportunities (BDAC-14). (https://www.bib.irb.hr/740470).

Forer, L., Lipić, T., Schőnherr, S., Weissensteiner, H., Davidović, D., Kronenberg, F. & Afgan, E. (2014) Delivering Bioinformatics MapReduce Applications in the Cloud. U: MIPRO 2014 37th International Convention Proceedings. (https://www.bib.irb.hr/739867).

Afgan, E., Skala, K., Davidović, D., Lipić, T. & Sović, I. (2012) CloudMan as a tool execution framework for the cloud. U: MIPRO 2012 35th International Convention Proceedings.

Kolarić, D., Lipić, T., Grubišić, I., Gjenero, L. & Skala, K. (2011) Application of Infrared Thermal Imaging in Blade System Temperature Monitoring. U: Božek, J. & Grgić, M. (ur.)Proceedings of the 53rd International Symposium on Electronics in Marine.

Kiss, N., Patai, G., Hanak, P., Lipić, T., Škoda, P., Gjenero, L., Dubravić, A., Michieli, I. & (2011) Vital Fitness and Health Telemonitoring of Elderly People. U: Biljanović, P., Skala, K. & (ur.)Proceedings Vol. I. MEET&GVS 34rd International Convention MIPRO 2011.

Grubišić, I., Gjenero, L., Lipić, T., Sović, I. & Skala, T. (2011) Active 3D scanning based 3D thermography system and medical applications. U: Biljanović, P., Skala, K. & (ur.)Proceedings Vol. I. MEET&GVS 34rd International Convention MIPRO 2011.

Sović, I., Lipić, T., Gjenero, L., Grubišić, I. & Skala, K. (2011) Heat source parameter estimation from scanned 3D thermal models. U: Biljanović, P. & Skala, K. (ur.)Proceedings of the 34th International Convention MIPRO 2011, vol. 1.

Matijaš, M. & Lipić, T. (2010) Application of Short Term Load Forecasting using Support Vector Machines in RapidMiner 5.0. U: Proceedings of RapidMiner Community Meeting and Conference.

Lipić, T. (2017) 'Ranjivost dinamičkih kompleksnih mreža s lokalnim međuzavisnostima i procesom oporavka', doktorska disertacija, Fakultet elektrotehnike i računarstva, Zagreb.