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Alber, Maximilian
57  Ergebnisse:
Personensuche X
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1

Toward Explainable Artificial Intelligence for Precision Pa..:

Klauschen, Frederick ; Dippel, Jonas ; Keyl, Philipp...
Annual Review of Pathology: Mechanisms of Disease.  19 (2024)  1 - p. 541-570 , 2024
Link: https://doi.org/10.1146/..
 
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2

Analysing cerebrospinal fluid with explainable deep learnin..:

Schweizer, Leonille ; Seegerer, Philipp ; Kim, Hee‐yeong...
Neuropathology and Applied Neurobiology.  49 (2023)  1 - p. , 2023
Link: https://doi.org/10.1111/..
 
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3

Clarifying assumptions about artificial intelligence before..:

, In: GRUR international / published by the German Association for the Protection of Intellectual Property (GRUR) in collaboration with the Max-Planck Institute for Innovation and Competition
Kim, Daria ; Alber, Maximilian ; Kwok, Man Wai ; Mitrović, Jelena... (2022)  4 - p. 295-321
Exemplare:  Juridicum: z jur 830/676; Juridicum: z jur 830/676
 
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4

Deep Learning Assisted Diagnosis of Onychomycosis on Whole-..:

Jansen, Philipp ; Creosteanu, Adelaida ; Matyas, Viktor...
Journal of Fungi.  8 (2022)  9 - p. 912 , 2022
Link: https://doi.org/10.3390/..
 
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5

Clarifying Assumptions About Artificial Intelligence Before..:

Kim, Daria ; Alber, Maximilian ; Kwok, Man Wai...
GRUR International.  71 (2022)  4 - p. 295-321 , 2022
Link: https://doi.org/10.1093/..
 
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6

Artificial intelligence and pathology: From principles to p..:

Stenzinger, Albrecht ; Alber, Maximilian ; Allgäuer, Michael...
Seminars in Cancer Biology.  84 (2022)  - p. 129-143 , 2022
Link: https://doi.org/10.1016/..
 
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7

Interpretable Deep Neural Network to Predict Estrogen Recep..:

, In: Artificial Intelligence and Machine Learning for Digital Pathology; Lecture Notes in Computer Science,
Seegerer, Philipp ; Binder, Alexander ; Saitenmacher, René... - p. 16-37 , 2020
Link: https://doi.org/10.1007/..
 
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8

Efficient learning machines 

from kernel methods to deep learning 
Alber, Maximilian , 2019
Link: https://nbn-resolving.de..
 
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9

The (Un)reliability of Saliency Methods:

, In: Explainable AI: Interpreting, Explaining and Visualizing Deep Learning; Lecture Notes in Computer Science,
Kindermans, Pieter-Jan ; Hooker, Sara ; Adebayo, Julius... - p. 267-280 , 2019
Link: https://doi.org/10.1007/..
 
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10

Software and Application Patterns for Explanation Methods:

, In: Explainable AI: Interpreting, Explaining and Visualizing Deep Learning; Lecture Notes in Computer Science,
Alber, Maximilian - p. 399-433 , 2019
Link: https://doi.org/10.1007/..
 
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11

Distributed optimization of multi-class SVMs:

Alber, Maximilian ; Zimmert, Julian ; Dogan, Urun..
PLOS ONE.  12 (2017)  6 - p. e0178161 , 2017
Link: https://doi.org/10.1371/..
 
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12

RudolfV: A Foundation Model by Pathologists for Pathologist:

Dippel, Jonas ; Feulner, Barbara ; Winterhoff, Tobias...
http://arxiv.org/abs/2401.04079.  , 2024
Link: http://arxiv.org/abs/240..
 
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13

Analysing cerebrospinal fluid with explainable deep learnin..:

Schweizer, Leonille ; Seegerer, Philipp ; Kim, Hee‐yeong...
1365-2990.  , 2023
Link: https://depositonce.tu-b..
 
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14

Leveraging weak complementary labels to improve semantic se..:

Hägele, Miriam ; Eschrich, Johannes ; Ruff, Lukas...
http://arxiv.org/abs/2302.01813.  , 2023
Link: http://arxiv.org/abs/230..
 
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15

Analysing Cerebrospinal Fluid with Explainable Deep Learnin..:

Schweizer, Leonille ; Seegerer, Philipp ; Reinhardt, Annekathrin...
info:eu-repo/semantics/altIdentifier/doi/10.1111/nan.12866.  , 2023
Link: https://pub.dzne.de/reco..
 
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