Schmidt-Thieme, Lars
294  results:
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1

HMAR: Hierarchical Masked Attention for Multi-behaviour Rec..:

, In: Advances in Knowledge Discovery and Data Mining; Lecture Notes in Computer Science,
 
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2

Hyperparameter Tuning MLP's for Probabilistic Time Series F..:

, In: Advances in Knowledge Discovery and Data Mining; Lecture Notes in Computer Science,
 
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3

Sparse Self-Attention Guided Generative Adversarial Network..:

, In: 2023 IEEE 10th International Conference on Data Science and Advanced Analytics (DSAA),
 
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4

Sparse self-attention guided generative adversarial network..:

Ahmed, Nourhan ; Schmidt-Thieme, Lars
International Journal of Data Science and Analytics.  16 (2023)  4 - p. 421-434 , 2023
 
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5

U-Net Inspired Transformer Architecture for Far Horizon Tim..:

, In: Machine Learning and Knowledge Discovery in Databases; Lecture Notes in Computer Science,
 
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6

Pricing Used Vehicles at Volkswagen Financial Services AG:

, In: 2023 IEEE International Conference on Big Data (BigData),
Jawed, Shayan ; Stening, Jan ; Schmidt-Thieme, Lars - p. 1736-1743 , 2023
 
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7

Offline Handwritten Amharic Character Recognition Using Few..:

, In: Pan-African Conference on Artificial Intelligence; Communications in Computer and Information Science,
 
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9

Improving Amharic Handwritten Word Recognition Using Auxili..:

, In: Third Congress on Intelligent Systems; Lecture Notes in Networks and Systems,
 
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10

DeepStay: Stay Region Extraction from Location Trajectories..:

, In: 2023 IEEE 26th International Conference on Intelligent Transportation Systems (ITSC),
 
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11

Few-Shot Human Motion Prediction for Heterogeneous Sensors:

, In: Advances in Knowledge Discovery and Data Mining; Lecture Notes in Computer Science,
 
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12

Structure-aware decoupled imputation network for multivaria..:

Ahmed, Nourhan ; Schmidt-Thieme, Lars
Data Mining and Knowledge Discovery.  38 (2023)  3 - p. 1006-1026 , 2023
 
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13

Learning to Control Local Search for Combinatorial Optimiza..:

, In: Machine Learning and Knowledge Discovery in Databases; Lecture Notes in Computer Science,
 
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14

Attention, Filling in the Gaps for Generalization in Routin..:

, In: Machine Learning and Knowledge Discovery in Databases; Lecture Notes in Computer Science,
 
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15

Forecasting Early with Meta Learning:

, In: 2023 International Joint Conference on Neural Networks (IJCNN),
 
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