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X
Nada Lavrac
210  Ergebnisse:
Personensuche X
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1

Artificial Intelligence. ECAI 2023 International Workshops:.. 

Communications in Computer and Information Science, 1947
Nowaczyk, Sławomir ; Biecek, Przemysław ; Chung, Neo Christopher... - 1st ed. 2024 . , 2024
Link: https://doi.org/10.1007/..
 
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2

AHAM: Adapt, Help, Ask, Model Harvesting LLMs for Literatur..:

, In: Lecture Notes in Computer Science; Advances in Intelligent Data Analysis XXII,
Koloski, Boshko ; Lavrač, Nada ; Cestnik, Bojan... - p. 254-265 , 2024
Link: https://doi.org/10.1007/..
 
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3

Artificial Intelligence. ECAI 2023 International Workshops:.. 

Communications in Computer and Information Science, 1948
Nowaczyk, Sławomir ; Biecek, Przemysław ; Chung, Neo Christopher... - 1st ed. 2024 . , 2024
Link: https://doi.org/10.1007/..
 
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4

Detecting contrast patterns in newspaper articles by combin..:

Pollak, Senja ; Coesemans, Roel ; Daelemans, Walter.
Pragmatics. Quarterly Publication of the International Pragmatics Association (IPrA); Pragmatics / Quarterly Publication of the International Pragmatics Association (IPrA); Pragmatics.  , 2022
Link: https://doi.org/10.1075/..
 
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5

TermEnsembler: An ensemble learning approach to bilingual t..:

Repar, Andraž ; Podpečan, Vid ; Vavpetič, Anže..
Terminology; Terminology. International Journal of Theoretical and Applied Issues in Specialized Communication; Terminology / International Journal of Theoretical and Applied Issues in Specialized Communication.  , 2022
Link: https://doi.org/10.1075/..
 
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6

Ontology Completion with Graph-Based Machine Learning: A Co..:

Mežnar, Sebastian ; Bevec, Matej ; Lavrač, Nada.
Machine Learning and Knowledge Extraction.  4 (2022)  4 - p. 1107-1123 , 2022
Link: https://doi.org/10.3390/..
 
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7

Multimodal AutoML via Representation Evolution:

Škrlj, Blaž ; Bevec, Matej ; Lavrač, Nada
Machine Learning and Knowledge Extraction.  5 (2022)  1 - p. 1-13 , 2022
Link: https://doi.org/10.3390/..
 
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8

NeSyChair: Automatic Conference Scheduling Combining Neuro-..:

Skvorc, Tadej ; Lavrac, Nada ; Robnik-Sikonja, Marko
IEEE Access.  10 (2022)  - p. 10880-10897 , 2022
Link: https://doi.org/10.1109/..
 
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9

Representation Learning: Propositionalization and Embedding:

Lavrač, Nada ; Podpečan, Vid ; Robnik-Šikonja, Marko - 1st ed. 2021 . , 2021
Link: https://doi.org/10.1007/..
 
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10

Propositionalization of Relational Data:

, In: Representation Learning,
Lavrač, Nada ; Podpečan, Vid ; Robnik-Šikonja, Marko - p. 83-105 , 2021
Link: https://doi.org/10.1007/..
 
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11

Prioritization of COVID-19-Related Literature via Unsupervi..:

, In: Discovery Science; Lecture Notes in Computer Science,
Škrlj, Blaž ; Jukič, Marko ; Eržen, Nika.. - p. 204-217 , 2021
Link: https://doi.org/10.1007/..
 
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12

Graph and Heterogeneous Network Transformations:

, In: Representation Learning,
Lavrač, Nada ; Podpečan, Vid ; Robnik-Šikonja, Marko - p. 107-142 , 2021
Link: https://doi.org/10.1007/..
 
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13

Introduction to Representation Learning:

, In: Representation Learning,
Lavrač, Nada ; Podpečan, Vid ; Robnik-Šikonja, Marko - p. 1-16 , 2021
Link: https://doi.org/10.1007/..
 
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14

Many Faces of Representation Learning:

, In: Representation Learning,
Lavrač, Nada ; Podpečan, Vid ; Robnik-Šikonja, Marko - p. 153-158 , 2021
Link: https://doi.org/10.1007/..
 
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15

PubMed-Scale Chemical Concept Embeddings Reconstruct Physic..:

Škrlj, Blaž ; Kokalj, Enja ; Lavrač, Nada
Frontiers in Research Metrics and Analytics.  6 (2021)  - p. , 2021
Link: https://doi.org/10.3389/..
 
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