Spatio-Temporal Signatures of User-Centric Data: How Similar Are We?
Authors: Samta Shukla, Aditya Telang, Salil Joshi, L. Subramaniam
AAAI 2015 | Conference PDF | Archive PDF | Plain Text | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Theoretical | We are developing a framework to test our models against a real dataset of urban users. and We are currently developing a framework for testing our models on a real dataset of GPS users in Beijing. |
| Researcher Affiliation | Collaboration | Samta Shukla Rensselaer Polytechnic Institute and Aditya Telang, Salil Joshi, L Venkat Subramaniam IBM Research Lab, India |
| Pseudocode | No | The paper describes the proposed methods in text but does not include any structured pseudocode or algorithm blocks. |
| Open Source Code | No | The paper does not provide any specific links to source code or explicitly state that the code for the described methodology is publicly available. |
| Open Datasets | No | The paper mentions developing a framework to test models 'against a real dataset of urban users' and 'on a real dataset of GPS users in Beijing' but provides no concrete access information (link, DOI, specific repository, or formal citation with authors/year) for this dataset. |
| Dataset Splits | No | The paper does not provide specific details on dataset splits (e.g., percentages or sample counts for training, validation, or testing sets). |
| Hardware Specification | No | The paper does not provide any specific details about the hardware (e.g., GPU/CPU models, memory) used for experiments. |
| Software Dependencies | No | The paper does not provide specific software dependency details, such as library names with version numbers. |
| Experiment Setup | No | The paper focuses on the theoretical framework and proposed methods but does not include specific experimental setup details such as hyperparameter values or training configurations. |