maria luisa sapino

About maria luisa sapino

maria luisa sapino, With an exceptional h-index of 22 and a recent h-index of 9 (since 2020), a distinguished researcher at Università degli Studi di Torino, specializes in the field of intelligenza artificiale, data management, data mining.

His recent articles reflect a diverse array of research interests and contributions to the field:

MMA: metadata supported multi-variate attention for onset detection and prediction

CTT: Causally Informed Tensor Train Decomposition

Special Issue of DASFAA 2023

Modeling, verifying and reasoning about web services

Database Systems for Advanced Applications: 28th International Conference, DASFAA 2023, Tianjin, China, April 17–20, 2023, Proceedings, Part I

Tensor-Train Decomposition in Presence of Interval Data

Pancommunity: Non-Monolithic Complex Epidemic and Pandemic Modeling (preprint)

Similarity Search and Applications: 15th International Conference, SISAP 2022, Bologna, Italy, October 5–7, 2022, Proceedings

maria luisa sapino Information

University

Position

___

Citations(all)

2598

Citations(since 2020)

416

Cited By

2470

hIndex(all)

22

hIndex(since 2020)

9

i10Index(all)

56

i10Index(since 2020)

9

Email

University Profile Page

Google Scholar

maria luisa sapino Skills & Research Interests

intelligenza artificiale

data management

data mining

Top articles of maria luisa sapino

MMA: metadata supported multi-variate attention for onset detection and prediction

Data Mining and Knowledge Discovery

2024/2/19

Maria Luisa Sapino
Maria Luisa Sapino

H-Index: 12

CTT: Causally Informed Tensor Train Decomposition

2023/12/15

Mao-Lin Li
Mao-Lin Li

H-Index: 9

Maria Luisa Sapino
Maria Luisa Sapino

H-Index: 12

Special Issue of DASFAA 2023

Data Science and Engineering

2023/9

Xin Wang
Xin Wang

H-Index: 6

Maria Luisa Sapino
Maria Luisa Sapino

H-Index: 12

Wook-Shin Han
Wook-Shin Han

H-Index: 18

Modeling, verifying and reasoning about web services

ALPSWS2006: Applications of Logic Programming in the Semantic Web and Semantic Web Services

2006/8/16

Database Systems for Advanced Applications: 28th International Conference, DASFAA 2023, Tianjin, China, April 17–20, 2023, Proceedings, Part I

2023/4/13

Tensor-Train Decomposition in Presence of Interval Data

IEEE Transactions on Knowledge and Data Engineering

2021/12/15

Maria Luisa Sapino
Maria Luisa Sapino

H-Index: 12

Pancommunity: Non-Monolithic Complex Epidemic and Pandemic Modeling (preprint)

9TH INTERNATIONAL CONFERENCE ON INFECTIOUS DISEASE DYNAMICS P

2023/12/5

Similarity Search and Applications: 15th International Conference, SISAP 2022, Bologna, Italy, October 5–7, 2022, Proceedings

2022/9/27

GTT: Leveraging data characteristics for guiding the tensor train decomposition

Information Systems

2022/9/1

Mao-Lin Li
Mao-Lin Li

H-Index: 9

Maria Luisa Sapino
Maria Luisa Sapino

H-Index: 12

Message from the ICMR 2022 General Chairs

ICMR 2022-Proceedings of the 2022 International Conference on Multimedia Retrieval

2022/6/27

Vincent Oria
Vincent Oria

H-Index: 10

Maria Luisa Sapino
Maria Luisa Sapino

H-Index: 12

Tensor-Train Decomposition in the Presence of Interval-Valued Data

IEEE Transactions on Knowledge and Data Engineering

2021/12/15

Maria Luisa Sapino
Maria Luisa Sapino

H-Index: 12

SMM: Leveraging metadata for contextually salient multi-variate motif discovery

Applied Sciences

2021/11/17

Maria Luisa Sapino
Maria Luisa Sapino

H-Index: 12

Selego: robust variate selection for accurate time series forecasting

Data Mining and Knowledge Discovery

2021/9

Xinsheng Li
Xinsheng Li

H-Index: 5

Maria Luisa Sapino
Maria Luisa Sapino

H-Index: 12

DataStorm: Coupled, Continuous Simulations for Complex Urban Environments

ACM/IMS Transactions on Data Science

2021/7/21

M2NN: Rare event inference through multi-variate multi-scale attention

2020/10/19

Maria Luisa Sapino
Maria Luisa Sapino

H-Index: 12

GTT: Guiding the tensor train decomposition

2020/9/30

Mao-Lin Li
Mao-Lin Li

H-Index: 9

Maria Luisa Sapino
Maria Luisa Sapino

H-Index: 12

Noise adaptive tensor train decomposition for low-rank embedding of noisy data

2020/9/30

Xinsheng Li
Xinsheng Li

H-Index: 5

Maria Luisa Sapino
Maria Luisa Sapino

H-Index: 12

San: Scale-space attention networks

2020/4/20

Maria Luisa Sapino
Maria Luisa Sapino

H-Index: 12

See List of Professors in maria luisa sapino University(Università degli Studi di Torino)

Co-Authors

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