Sandro Skansi
Sandro Skansi
Assistant Professor of Logic, University of Zagreb
Потвърден имейл адрес: hrstud.hr
Заглавие
Позовавания
Позовавания
Година
Introduction to Deep Learning: from logical calculus to artificial intelligence
S Skansi
Springer, 2018
1942018
Convolutional neural networks
S Skansi
Introduction to deep learning, 121-133, 2018
112018
Autoencoders
S Skansi
Introduction to Deep Learning, 153-163, 2018
52018
Recurrent neural networks
S Skansi
Introduction to Deep Learning, 135-152, 2018
42018
Analyzing affective states using acoustic and linguistic features
B Dropuljic, S Skansi, R Kopal
Central European Conference on Information and Intelligent Systems, 201, 2016
42016
Evaluation of Structural Hyperparameters for Text Classification with LSTM Networks
M Frković, N Čerkez, B Vrdoljak, S Skansi
2020 43rd International Convention on Information, Communication and …, 2020
32020
Guide to Deep Learning Basics
S Skansi
Springer International Publishing, 2020
32020
Machine Learning Basics
S Skansi
Introduction to Deep Learning, 51-77, 2018
32018
Croatian emotional speech analyses on a basis of acoustic and linguistic features
B Dropuljić, S Skansi, R Kopal
International Journal of Digital Technology & Economy 1 (2), 85-96, 2016
22016
Metodologija estimacije emocionalnih stanja na temelju akustičkih značajki govora
B Dropuljić, S Skansi, L Mršić
International Journal of Digital Technology & Economy 1 (1), 53-74, 2016
22016
A constructive proof of cut elimination for a system of full second order logic
S Skansi
arXiv preprint arXiv:1606.01763, 2016
22016
Umjetna inteligencija i kompatibilizam: mogućnost postanka slobodnog uma u determiniranom tijelu
S Skansi
Filozofska istraživanja 35 (03/139), 407-414, 2015
22015
Analogical Reasoning and Word-Meanings in a Multidimensional Space
S Skansi, D Lauc
Filozofska istraživanja 38 (1), 5-16, 2018
12018
Mathematical and Computational Prerequisites
S Skansi
Introduction to Deep Learning, 17-49, 2018
12018
Modifications and Extensions to a Feed-Forward Neural Network
S Skansi
Introduction to Deep Learning, 107-120, 2018
12018
A Method for MBTI Classification Based on Impact of Class Components
N Cerkez, B Vrdoljak, S Skansi
IEEE Access 9, 146550-146567, 2021
2021
A Different Approach for Clique and Household Analysis in Synthetic Telecom Data Using Propositional Logic
S Skansi, K Šekrst, M Kardum
2020 43rd International Convention on Information, Communication and …, 2020
2020
A Lost Croatian Cybernetic Machine Translation Program
S Skansi, L Mršić, I Skelac
Guide to Deep Learning Basics, 67-78, 2020
2020
The Possibility of Applying Traditional and Modern Aesthetical Theories to Logical and Mathematical Proofs
M Kardum, S Skansi
Filozofska istraživanja 39 (4), 741-760, 2019
2019
Mogućnost primjene tradicionalnih i suvremenih estetičkih teorija na logičko-matematičke dokaze
M Kardum, S Skansi
Filozofska istraživanja 39 (4), 741-760, 2019
2019
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