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Ohsaka, Naoto
42  Ergebnisse:
Personensuche X
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1

Computational complexity of normalizing constants for the p..:

Matsuoka, Tatsuya ; Ohsaka, Naoto
Theoretical Computer Science.  997 (2024)  - p. 114513 , 2024
Link: https://doi.org/10.1016/..
 
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2

On the Parameterized Intractability of Determinant Maximiza..:

Ohsaka, Naoto
Algorithmica.  86 (2024)  6 - p. 1731-1763 , 2024
Link: https://doi.org/10.1007/..
 
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3

Probabilistically Checkable Reconfiguration Proofs and Inap..:

, In: Proceedings of the 56th Annual ACM Symposium on Theory of Computing,
Hirahara, Shuichi ; Ohsaka, Naoto - p. 1435-1445 , 2024
Link: https://dl.acm.org/doi/1..
 
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4

Curse of "Low" Dimensionality in Recommender Systems:

, In: Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval,
Ohsaka, Naoto ; Togashi, Riku - p. 537-547 , 2023
Link: https://dl.acm.org/doi/1..
 
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5

On reconfigurability of target sets:

Ohsaka, Naoto
Theoretical Computer Science.  942 (2023)  - p. 253-275 , 2023
Link: https://doi.org/10.1016/..
 
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6

A Critical Reexamination of Intra-List Distance and Dispers..:

, In: Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval,
Ohsaka, Naoto ; Togashi, Riku - p. 1619-1628 , 2023
Link: https://dl.acm.org/doi/1..
 
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7

Fast and Examination-agnostic Reciprocal Recommendation in ..:

, In: Proceedings of the 17th ACM Conference on Recommender Systems,
Tomita, Yoji ; Togashi, Riku ; Hashizume, Yuriko. - p. 12-23 , 2023
Link: https://dl.acm.org/doi/1..
 
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8

Reconfiguration Problems on Submodular Functions:

, In: Proceedings of the Fifteenth ACM International Conference on Web Search and Data Mining,
Ohsaka, Naoto ; Matsuoka, Tatsuya - p. 764-774 , 2022
Link: https://dl.acm.org/doi/1..
 
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9

Spanning tree constrained determinantal point processes are..:

Matsuoka, Tatsuya ; Ohsaka, Naoto
Operations Research Letters.  49 (2021)  3 - p. 304-309 , 2021
Link: https://doi.org/10.1016/..
 
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10

A fully polynomial parameterized algorithm for counting the..:

Ohsaka, Naoto
Information Processing Letters.  171 (2021)  - p. 106137 , 2021
Link: https://doi.org/10.1016/..
 
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11

The Solution Distribution of Influence Maximization: A High..:

, In: Proceedings of the 2020 ACM SIGMOD International Conference on Management of Data,
Ohsaka, Naoto - p. 2151-2166 , 2020
Link: https://dl.acm.org/doi/1..
 
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12

NoSingles : a space-efficient algorithm for influence ma..:

, In: Proceedings of the 30th International Conference on Scientific and Statistical Database Management,
Popova, Diana ; Ohsaka, Naoto ; Kawarabayashi, Ken-ichi. - p. 1-12 , 2018
Link: https://dl.acm.org/doi/1..
 
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13

Boosting PageRank Scores by Optimizing Internal Link Struct..:

, In: Lecture Notes in Computer Science; Database and Expert Systems Applications,
Ohsaka, Naoto ; Sonobe, Tomohiro ; Kakimura, Naonori... - p. 424-439 , 2018
Link: https://doi.org/10.1007/..
 
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14

Coarsening Massive Influence Networks for Scalable Diffusio..:

, In: Proceedings of the 2017 ACM International Conference on Management of Data,
Ohsaka, Naoto ; Sonobe, Tomohiro ; Fujita, Sumio. - p. 635-650 , 2017
Link: https://dl.acm.org/doi/1..
 
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15

Portfolio Optimization for Influence Spread:

, In: Proceedings of the 26th International Conference on World Wide Web,
Ohsaka, Naoto ; Yoshida, Yuichi - p. 977-985 , 2017
Link: https://dl.acm.org/doi/1..
 
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