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De Raedt, Luc
383  Ergebnisse:
Personensuche X
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1

From statistical relational to neurosymbolic artificial int..:

Marra, Giuseppe ; Dumančić, Sebastijan ; Manhaeve, Robin.
Artificial Intelligence.  328 (2024)  - p. 104062 , 2024
Link: https://doi.org/10.1016/..
 
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2

Semirings for probabilistic and neuro-symbolic logic progra..:

Derkinderen, Vincent ; Manhaeve, Robin ; Zuidberg Dos Martires, Pedro.
International Journal of Approximate Reasoning.  , 2024
Link: https://doi.org/10.1016/..
 
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3

Subgraph Mining for Graph Neural Networks:

, In: Lecture Notes in Computer Science; Advances in Intelligent Data Analysis XXII,
Kikaj, Adem ; Marra, Giuseppe ; De Raedt, Luc - p. 141-152 , 2024
Link: https://doi.org/10.1007/..
 
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4

Learning MAX-SAT from contextual examples for combinatorial..:

Kumar, Mohit ; Kolb, Samuel ; Teso, Stefano.
Artificial Intelligence.  314 (2023)  - p. 103794 , 2023
Link: https://doi.org/10.1016/..
 
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5

Modeling PU learning using probabilistic logic programming:

Verreet, Victor ; De Raedt, Luc ; Bekker, Jessa
Machine Learning.  113 (2023)  3 - p. 1351-1372 , 2023
Link: https://doi.org/10.1007/..
 
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6

smProbLog: Stable Model Semantics in ProbLog for Probabilis..:

TOTIS, PIETRO ; DE RAEDT, LUC ; KIMMIG, ANGELIKA
Theory and Practice of Logic Programming.  23 (2023)  6 - p. 1198-1247 , 2023
Link: https://doi.org/10.1017/..
 
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7

Deep Explainable Relational Reinforcement Learning: A Neuro..:

, In: Machine Learning and Knowledge Discovery in Databases: Research Track; Lecture Notes in Computer Science,
Hazra, Rishi ; De Raedt, Luc - p. 213-229 , 2023
Link: https://doi.org/10.1007/..
 
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8

Lifted model checking for relational MDPs:

Yang, Wen-Chi ; Raskin, Jean-François ; De Raedt, Luc
Machine Learning.  111 (2022)  10 - p. 3797-3838 , 2022
Link: https://doi.org/10.1007/..
 
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9

The Collection of Papers Celebrating the 20th Anniversary o..:

EITER, THOMAS ; MAHER, MICHAEL ; PONTELLI, ENRICO..
Theory and Practice of Logic Programming.  23 (2022)  1 - p. 1-1 , 2022
Link: https://doi.org/10.1017/..
 
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10

Introduction to the Collection of Papers Celebrating the 20..:

EITER, THOMAS ; MAHER, MICHAEL ; PONTELLI, ENRICO..
Theory and Practice of Logic Programming.  22 (2022)  6 - p. 770-775 , 2022
Link: https://doi.org/10.1017/..
 
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11

Automating data science:

De Bie, Tijl ; De Raedt, Luc ; Hernández-Orallo, José...
Communications of the ACM.  65 (2022)  3 - p. 76-87 , 2022
Link: https://dl.acm.org/doi/1..
 
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12

Automating data science:

De Bie, Tijl ; De Raedt, Luc ; Hernández-Orallo, José...
Communications of the ACM.  65 (2022)  3 - p. 76-87 , 2022
Link: https://doi.org/10.1145/..
 
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13

Parameter Learning in ProbLog with Annotated Disjunctions:

, In: Lecture Notes in Computer Science; Advances in Intelligent Data Analysis XX,
Yang, Wen-Chi ; Jain, Arcchit ; De Raedt, Luc. - p. 378-391 , 2022
Link: https://doi.org/10.1007/..
 
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14

VisualSynth: Democratizing Data Science in Spreadsheets:

, In: Machine Learning and Knowledge Discovery in Databases. Applied Data Science and Demo Track; Lecture Notes in Computer Science,
Gautrais, Clément ; Dauxais, Yann ; Kolb, Samuel... - p. 550-554 , 2021
Link: https://doi.org/10.1007/..
 
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15

Neural probabilistic logic programming in DeepProbLog:

Manhaeve, Robin ; Dumančić, Sebastijan ; Kimmig, Angelika..
Artificial Intelligence.  298 (2021)  - p. 103504 , 2021
Link: https://doi.org/10.1016/..
 
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