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Hollmen, Jaakko
119  Ergebnisse:
Personensuche X
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1

Explaining Black Box Reinforcement Learning Agents Through ..:

, In: Advances in Intelligent Data Analysis XXI; Lecture Notes in Computer Science,
Movin, Maria ; Junior, Guilherme Dinis ; Hollmén, Jaakko. - p. 314-326 , 2023
Link: https://doi.org/10.1007/..
 
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2

SHAMSUL: Systematic Holistic Analysis to investigate Medica..:

Alam, Mahbub Ul ; Hollmén, Jaakko ; Baldvinsson, Jón Rúnar.
Nordic Machine Intelligence.  3 (2023)  1 - p. 27-47 , 2023
Link: https://doi.org/10.5617/..
 
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3

A Bayesian Optimization Approach for Calibrating Large-Scal..:

Agriesti, Serio ; Kuzmanovski, Vladimir ; Hollmén, Jaakko..
IEEE Open Journal of Intelligent Transportation Systems.  4 (2023)  - p. 740-754 , 2023
Link: https://doi.org/10.1109/..
 
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4

COVID-19 detection from thermal image and tabular medical d..:

, In: 2023 IEEE 36th International Symposium on Computer-Based Medical Systems (CBMS),
Ul Alam, Mahbub ; Hollmen, Jaakko ; Rahmani, Rahim - p. 646-653 , 2023
Link: https://doi.org/10.1109/..
 
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5

Semi-parametric Approach to Random Forests for High-Dimensi..:

, In: Discovery Science; Lecture Notes in Computer Science,
Kuzmanovski, Vladimir ; Hollmén, Jaakko - p. 418-428 , 2022
Link: https://doi.org/10.1007/..
 
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6

FLICU: A Federated Learning Workflow for Intensive Care Uni..:

, In: 2022 IEEE 35th International Symposium on Computer-Based Medical Systems (CBMS),
Mondrejevski, Lena ; Miliou, Ioanna ; Montanino, Annaclaudia... - p. 32-37 , 2022
Link: https://doi.org/10.1109/..
 
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7

Principal Component Analysis Visualizations in State Discov..:

, In: 2022 IEEE International Conference on Smart Computing (SMARTCOMP),
Sirola, Miki ; Rinta-Koski, Olli-Pekka ; Nguyen, Le Ngu. - p. 257-262 , 2022
Link: https://doi.org/10.1109/..
 
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8

Policy Evaluation with Delayed, Aggregated Anonymous Feedba..:

, In: Discovery Science; Lecture Notes in Computer Science,
Dinis Junior, Guilherme ; Magnússon, Sindri ; Hollmén, Jaakko - p. 114-123 , 2022
Link: https://doi.org/10.1007/..
 
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9

State Discovery and Prediction from Multivariate Sensor Dat:

, In: Advanced Analytics and Learning on Temporal Data; Lecture Notes in Computer Science,
Rinta-Koski, Olli-Pekka ; Sirola, Miki ; Nguyen, Le Ngu. - p. 155-169 , 2021
Link: https://doi.org/10.1007/..
 
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10

Early oxygen levels contribute to brain injury in extremely..:

Rantakari, Krista ; Rinta-Koski, Olli-Pekka ; Metsäranta, Marjo...
Pediatric Research.  90 (2021)  1 - p. 131-139 , 2021
Link: https://doi.org/10.1038/..
 
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11

Composite Surrogate for Likelihood-Free Bayesian Optimisati..:

, In: Advances in Intelligent Data Analysis XIX; Lecture Notes in Computer Science,
Kuzmanovski, Vladimir ; Hollmén, Jaakko - p. 171-183 , 2021
Link: https://doi.org/10.1007/..
 
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12

Mitigating Discrimination in Clinical Machine Learning Deci..:

, In: Discovery Science; Lecture Notes in Computer Science,
Briggs, Emma ; Hollmén, Jaakko - p. 19-33 , 2020
Link: https://doi.org/10.1007/..
 
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13

Machine Learning Methods for Neonatal Mortality and Morbidi..:

Jaskari, Joel ; Myllarinen, Janne ; Leskinen, Markus...
IEEE Access.  8 (2020)  - p. 123347-123358 , 2020
Link: https://doi.org/10.1109/..
 
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14

A Clustering Framework for Patient Phenotyping with Applica..:

, In: 2020 IEEE 33rd International Symposium on Computer-Based Medical Systems (CBMS),
Bampa, Maria ; Papapetrou, Panagiotis ; Hollmen, Jaakko - p. 177-182 , 2020
Link: https://doi.org/10.1109/..
 
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15

Clustering Diagnostic Profiles of Patients:

, In: IFIP Advances in Information and Communication Technology; Artificial Intelligence Applications and Innovations,
Hollmén, Jaakko ; Papapetrou, Panagiotis - p. 120-126 , 2019
Link: https://doi.org/10.1007/..
 
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