フォロー
Zoltán Ádám Milacski
Zoltán Ádám Milacski
確認したメール アドレス: andrew.cmu.edu
タイトル
引用先
引用先
MADGAN: Unsupervised medical anomaly detection GAN using multiple adjacent brain MRI slice reconstruction
C Han, L Rundo, K Murao, T Noguchi, Y Shimahara, ZÁ Milacski, ...
BMC bioinformatics 22 (2), 1-20, 2021
1562021
GAN-based multiple adjacent brain MRI slice reconstruction for unsupervised Alzheimer’s disease diagnosis
C Han, L Rundo, K Murao, ZÁ Milacski, K Umemoto, E Sala, H Nakayama, ...
International Meeting on Computational Intelligence Methods for …, 2019
202019
Robust Detection of Anomalies via Sparse Methods
ZÁ Milacski, M Ludersdorfer, A Lorincz, P van der Smagt
22nd International Conference on Neural Information Processing, 2015
142015
Towards reasoning based representations: Deep consistence seeking machine
A Lőrincz, M Csákvári, Á Fóthi, ZÁ Milacski, A Sárkány, Z Tősér
Cognitive Systems Research 47, 92-108, 2018
92018
Columnar Machine: Fast estimation of structured sparse codes
A Lőrincz, ZÁ Milacski, B Pintér, AL Verő
Biologically Inspired Cognitive Architectures 15, 19-33, 2016
92016
Iterative calibration method for microscopic road traffic simulators
T Tettamanti, ZÁ Milacski, A Lőrincz, I Varga
Periodica Polytechnica Transportation Engineering 43 (2), 87-91, 2015
72015
Differentiable Unrolled Alternating Direction Method of Multipliers for OneNet
ZÁ Milacski, B Póczos, A Lőrincz
30th British Machine Vision Conference (BMVC), 2019
62019
DyLiN: Making Light Field Networks Dynamic
H Yu, J Julin, ZA Milacski, K Niinuma, LA Jeni
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023
52023
Estimating cartesian compression via deep learning
A Lőrincz, A Sárkány, ZÁ Milacski, Z Tősér
Artificial General Intelligence: 9th International Conference, AGI 2016, New …, 2016
52016
Multi object tracking for similar instances: a hybrid architecture
Á Fóthi, KB Faragó, L Kopácsi, ZÁ Milacski, V Varga, A Lőrincz
Neural Information Processing: 27th International Conference, ICONIP 2020 …, 2020
42020
Group k-Sparse Temporal Convolutional Neural Networks: Unsupervised Pretraining for Video Classification
ZÁ Milacski, B Póczos, A Lőrincz
2019 International Joint Conference on Neural Networks (IJCNN), 2019
42019
Cost and risk sensitive decision making and control for highway overtaking maneuver
A Mihály, ZÁ Milacski, Z Tősér, A Lőrincz, T Tettamanti, I Varga
2015 International conference on models and technologies for intelligent …, 2015
42015
Cognitive deep machine can train itself
A Lőrincz, M Csákvári, Á Fóthi, ZÁ Milacski, A Sárkány, Z Tősér
arXiv preprint arXiv:1612.00745, 2016
32016
Cogs: Controllable gaussian splatting
H Yu, J Julin, ZÁ Milacski, K Niinuma, LA Jeni
arXiv preprint arXiv:2312.05664, 2023
22023
Declarative description: The meeting point of artificial intelligence deep neural networks and human intelligence
Z Milacski, K Faragó, A Fóthi, V Varga, A Lorincz
XAI 2018, Proceedings of the 2nd Workshop on Explainable Artificial …, 2018
22018
Unsupervised Style-based Explicit 3D Face Reconstruction from Single Image
H Yu, ZA Milacski, LA Jeni
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023
12023
Speech de-identification with deep neural networks
Á Fodor, L Kopácsi, ZÁ Milacski, A Lőrincz
Acta Cybernetica 25 (2), 257-269, 2021
12021
Adversarial perturbation stability of the layered group basis pursuit
D Szeghy, ZA Milacski, A Fóthi, A Lorincz
def 1, 2, 2021
12021
CNN‐based MRI regression using u‐net
C Han, F Gesser, Z Milacski
12018
Enhancing Crowdsourced Applications via Incorporated Practice Sessions.
KB Faragó, ZA Milacski, A Nemeth, A Lörincz
GamifIR@ ECIR, 41-43, 2015
12015
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