DANeS-Data Analytics & Network Science Lab,IIT Patna

Call for Papers: DSAA 2023 Special Sessions on Learning from Temporal Data (LearnTeD)

We are excited to announce special sessions on Learning from Temporal Data at the 2023 10th IEEE International Conference on Data Science and Advanced Analytics (DSAA), to be held in Thessaloniki, Greece, on October 9-13, 2023. The special sessions aim to integrate the research on learning from temporal data from various areas and to synthesize new concepts based on statistical analysis, time series analysis, graph analysis, signal processing, and machine learning.

The scope of the special session includes but is not limited to the following:
- Temporal data clustering
- Classification and regression of univariate and multivariate time series
- Early classification of temporal data
- Deep learning for temporal data
- Learning representation for temporal data
- Metric and kernel learning for temporal data
- Modeling temporal dependencies
- Time series forecasting
- Time series annotation, segmentation, and anomaly detection
- Spatial-temporal statistical analysis
- Functional data analysis methods
- Data streams
- Interpretable/explainable time-series analysis methods
- Dimensionality reduction, sparsity, algorithmic complexity, and big data challenges
- Benchmarking and assessment methods for temporal data
- Applications, including transport, urban computing, weather and climate, ecology, bioinformatics, medical, and energy consumption on temporal data

We invite submissions of original research papers, case studies, and applications related to the special session topics. Accepted papers will be included in the conference proceedings and submitted to IEEE Xplore for publication.

To submit your paper, please follow the submission guidelines on our website at https://dsaa2023.inesctec.pt/. The submission deadline is May 22, 2023.

We look forward to your participation in the DSAA 2023 special sessions on Learning from Temporal Data! Please share this call for papers with your colleagues and networks who may be interested in submitting a proposal. If you have any questions or concerns, please contact the special sessions organizers at [email protected], [email protected].

Congratulations to our group member Roshni Chakraborty, for joining as an Assistant Professor at the Institute of Computer Science, University of Tartu, Estonia. We wish her a bright future.

Hearty congratulations to DANeS-Data Analytics & Network Science Lab, IIT Patna Ph.D. student, Shruti Saxena, for getting the very prestigious Prime Minister's Research Fellowship (PMRF). Shruti is supervised by Dr. Joydeep Chandra.

Prime Minister's Research Fellows (PMRF) Scheme, May 2021 The Prime Minister's Research Fellows (PMRF) Scheme has been designed for improving the quality of research in various higher educational institutions in the country

A paper from DANeS group got accepted in Applied Intelligence, Springer.
The details of the accepted paper is:
Title: WSAGrad: A Novel Adaptive Gradient Based Method.
Authors: Krutika Verma and Abyayananda Maiti.
Heartiest congratulations to all the authors on behalf of everyone from the DANeS, IITP Group !!

A paper from DANeS group got accepted in ACM Transactions on the Web.
The details of the accepted paper is:
Title: Spotting Flares: The Vital Signs of the Viral Spread of Tweets Made During Communal Incidents.
Authors: Apoorva Upadhyaya and Joydeep Chandra.
Heartiest congratulations to all the authors on behalf of everyone from the DANeS, IITP Group !!I