maria luisa sapino

maria luisa sapino

Università degli Studi di Torino

H-index: 22

Europe-Italy

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

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)

CTT: Causally Informed Tensor Train Decomposition

Special Issue of DASFAA 2023

Modeling, verifying and reasoning about web services

Message from the ICMR 2022 General Chairs

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

Università degli Studi di Torino

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maria luisa sapino Skills & Research Interests

intelligenza artificiale

data management

data mining

Top articles of maria luisa sapino

Title

Journal

Author(s)

Publication Date

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

Data Mining and Knowledge Discovery

Manjusha Ravindranath

K Selçuk Candan

Maria Luisa Sapino

Brian Appavu

2024/2/19

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

Xin Wang

Maria Luisa Sapino

Wook-Shin Han

Amr El Abbadi

Gill Dobbie

...

2023/4/13

Tensor-Train Decomposition in Presence of Interval Data

IEEE Transactions on Knowledge and Data Engineering

Francesco Di Mauro

K Selcuk Candan

Maria Luisa Sapino

2021/12/15

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

9TH INTERNATIONAL CONFERENCE ON INFECTIOUS DISEASE DYNAMICS P

Fahim Tasneema Azad

Javier Redondo Antón

Bilgehan Arslan

K Selçuk Candan

Maria Luisa Sapino

...

2023/12/5

CTT: Causally Informed Tensor Train Decomposition

Mao-Lin Li

K Selçuk Candan

Maria Luisa Sapino

2023/12/15

Special Issue of DASFAA 2023

Data Science and Engineering

Xin Wang

Maria Luisa Sapino

Wook-Shin Han

Yingxiao Shao

Hongzhi Yin

2023/9

Modeling, verifying and reasoning about web services

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

Alberto Martelli

2006/8/16

Message from the ICMR 2022 General Chairs

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

Vincent Oria

Maria Luisa Sapino

Shin'ichi Satoh

Brigitte Kerhervé

2022/6/27

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

Tomáš Skopal

Fabrizio Falchi

Jakub Lokoč

Maria Luisa Sapino

Ilaria Bartolini

...

2022/9/27

GTT: Leveraging data characteristics for guiding the tensor train decomposition

Information Systems

Mao-Lin Li

K Selçuk Candan

Maria Luisa Sapino

2022/9/1

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

IEEE Transactions on Knowledge and Data Engineering

Francesco Di Mauro

K Selcuk Candan

Maria Luisa Sapino

2021/12/15

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

Applied Sciences

Silvestro R Poccia

K Selçuk Candan

Maria Luisa Sapino

2021/11/17

Selego: robust variate selection for accurate time series forecasting

Data Mining and Knowledge Discovery

Manoj Tiwaskar

Yash Garg

Xinsheng Li

K Selçuk Candan

Maria Luisa Sapino

2021/9

DataStorm: Coupled, Continuous Simulations for Complex Urban Environments

ACM/IMS Transactions on Data Science

Hans Walter Behrens

K Selçuk Candan

Xilun Chen

Yash Garg

Mao-Lin Li

...

2021/7/21

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

Manjusha Ravindranath

K Selçuk Candan

Maria Luisa Sapino

2020/10/19

GTT: Guiding the tensor train decomposition

Mao-Lin Li

K Selçuk Candan

Maria Luisa Sapino

2020/9/30

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

Xinsheng Li

K Selçuk Candan

Maria Luisa Sapino

2020/9/30

San: Scale-space attention networks

Yash Garg

K Selçuk Candan

Maria Luisa Sapino

2020/4/20

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

Co-Authors

H-index: 78
V.S. Subrahmanian

V.S. Subrahmanian

Dartmouth College

H-index: 42
K. Selcuk Candan

K. Selcuk Candan

Arizona State University

H-index: 31
Sibel Adali

Sibel Adali

Rensselaer Polytechnic Institute

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