Baran, Á., Baran, S.: A two-step machine learning approach to statistical post-processing of weather forecasts for power generation.
Q. J. R. Meteorol. Soc. 150 (759), 1029-1047, 2024.

Stoyan, G., Baran, Á.: Elementary Numerical Mathematics for Programmers and Engineers.
Springer International Publishing Ag, Cham, 301 p., 2024. ISBN: 9783031660887

Baran, Á., Baran, S.: Parametric model for post-processing visibility ensemble forecasts.
Adv. Stat. Clim. Meteorol. Oceanogr. 10 (2), 105-122, 2024.

Harangi, B., Baran, Á., Beregi-Kovács, M., Hajdu, A.: Composing Diverse Ensembles of Convolutional Neural Networks by Penalization.
Mathematics. 11 (23), 1-19, 2023.

Szépszó, G., Baran, Á., Baran, S., Jávorné, R., Kornyik, M., Tajti, D.: Sugárzásra és magassági szélre vonatkozó rövidtávú előrejelzések operatív statisztikai utófeldolgozása.
Légkör. 68 (3), 118-125, 2023.

Baran, S., Baran, Á.: Calibration of wind speed ensemble forecasts for power generation.
Idojaras. 125 (4), 609-624, 2021.

Baran, Á., Lerch, S., El Ayari, M., Baran, S.: Machine learning for total cloud cover prediction.
Neural Comput. Appl. 33 2605-2620, 2021.

Harangi, B., Baran, Á., Hajdu, A.: Assisted deep learning framework for multi-class skin lesion classification considering a binary classification support.
Biomed. Signal Process. Control. 62 1-7, 2020.

Beregi-Kovács, M., Baran, Á., Hajdu, A.: Efficient Learning of Model Weights via Changing Features During Training.
2020 IEEE 24th International Conference on Intelligent Engineering Systems (INES) 2020 43-48, 2020.

Porwal, P., Pachade, S., Kokare, M., Deshmukh, G., Son, J., Bae, W., Liu, L., Wang, J., Liu, X., Gao, L., Wu, T., Xiao, J., Wang, F., Yin, B., Wang, Y., Danala, G., He, L., Choi, Y., Lee, Y., Jung, S., Li, Z., Sui, X., Wu, J., Li, X., Zhou, T., Tóth, J., Baran, Á., Kori, A., Chennamsetty, S., Safwan, M., Alex, V., Lyu, X., Cheng, L., Chu, Q., Li, P., Ji, X., Zhang, S., Shen, Y., Dai, L., Saha, O., Sathish, R., Melo, T., Araújo, T., Harangi, B., Sheng, B., Fang, R., Sheet, D., Hajdu, A., Zheng, Y., Mendonça, A., Zhang, S., Campilho, A., Zheng, B., Shen, D., Giancardo, L., Quellec, G., Mériaudeau, F.: IDRiD: Diabetic Retinopathy: segmentation and grading challenge.
Med. Image Anal. 59 1-26, 2020.

Baran, S., Baran, Á., Pappenberger, F., Ben Bouallègue, Z.: Statistical post-processing of heat index ensemble forecasts: Is there a royal road?.
Q. J. R. Meteorol. Soc. 146 (732), 3416-3434, 2020.

Harangi, B., Tóth, J., Baran, Á., Hajdu, A.: Automatic screening of fundus images using a combination of convolutional neural network and hand-crafted features.
In: 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). Ed.: Riccardo Barbieri, Institute of Electrical and Electronics Engineers (IEEE), Piscataway, NJ, USA, 2699-2702, 2019. ISBN: 9781538613122

Baran, Á., Vertse, T.: Damping the tail of the Woods-Saxon potential.
Int. J. Mod. Phys. E-Nucl. Phys. 28 (10), 1-11, 2019.

Harangi, B., Baran, Á., Hajdu, A.: Classification of skin lesions using an ensemble of deep neural networks.
In: 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) / Gregg Suaning, Olaf Dossel, IEEE, Hawaii, USA, 2575-2578, 2018. ISBN: 9781538636466

Hajdu, A., Harangi, B., Tóth, J., Pap, M., Baran, Á.: Combining Convolutional Neural Networks and Hand-Crafted Features in Medical Image Classification Tasks.
In: 20th European Conference on Mathematics for Industry : Book of Abstracts. Ed.: Bodó Á., Fekete I., Izsák F., Maros G., Simon L. P, Bolyai János Matematikai Társulat, Budapest, 299, 2018.

Baran, Á., Noszály, C., Vertse, T.: JOZSO, a computer code for calculating broad neutron resonances in phenomenological nuclear potentials.
Comput. Phys. Commun. 228 185-191, 2018.

Lévai, G., Baran, Á., Salamon, P., Vertse, T.: Analytical solutions for the radial Scarf II potential.
Phys. Lett. A. 381 (23), 1936-1942, 2017.

Salamon, P., Baran, Á., Vertse, T.: Distributions of the S-matrix poles in Woods-Saxon and cut-off Woods-Saxon potentials.
Nucl. Phys. A. 952 1-17, 2016.

Baran, Á., Noszály, C., Salamon, P., Vertse, T.: Calculating broad neutron resonances in a cut-off Woods-Saxon potential.
Eur. Phys. J. A. 51 (7), 76, 2015.

Baran, Á., Terdik, G.: Power spectrum estimation of spherical random fields based on covariances.
Ann. Math. Inform. 44 15-22, 2015.

Baran, Á.: Egy magas rendű nemkonform végeselem család a kétdimenziós Stokes-feladat megoldására.
Alkalm. mat. l. 26 (2), 193-206, 2009.

Baran, Á., Stoyan, G.: Gauss-Legendre elements: a stable, higher order non-conforming finite element family.
Computing. 79 (1), 1-21, 2007.

Stoyan, G., Baran, Á.: Crouzeix-Velte decompositions for higher-order finite elements.
Comput. Math. Appl. 51 (6-7), 967-986, 2006.

Stoyan, G., Strauber, G., Baran, Á.: Generalizations to discrete and analytical Crouzeix-Velte decompositions.
Numer. Linear Algebr. Appl. 11 (5-6), 565-590, 2004.

Norberg, T., Rosén, L., Baran, Á., Baran, S.: On Modelling Discrete Geological Structures as Markov Random Fields.
Math. Geol. 34 (1), 63-77, 2002.