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dsm:assignments:01 [2024/10/31 13:14] emilian.radoi |
dsm:assignments:01 [2025/01/04 15:32] (current) emilian.radoi [Project] |
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| * Obtain preliminary results to compare against future improvements. | * Obtain preliminary results to compare against future improvements. | ||
| * **Evaluation Metrics**: Choose appropriate metrics (e.g., accuracy, F1-score, ROC-AUC) and document initial performance. | * **Evaluation Metrics**: Choose appropriate metrics (e.g., accuracy, F1-score, ROC-AUC) and document initial performance. | ||
| - | * **Documentation**: Submit a report section (2 pages excluding references) describing the dataset, preprocessing steps, baseline model, and results. | + | * **Documentation ** (IEEE conference paper format): Submit a report section (2 pages excluding references) describing the dataset, preprocessing steps, baseline model, and results. |
| * **Upload Documentation**: [[https://curs.upb.ro/2024/mod/assign/view.php?id=49438|Upload]] | * **Upload Documentation**: [[https://curs.upb.ro/2024/mod/assign/view.php?id=49438|Upload]] | ||
| - | == 3. M3 (16.12.24) - Own Contribution (1p) == | + | == 3. M3 (18.12.24) - Own Contribution (1p) == |
| * **Objective**: Implement your novel contribution to the field, either by solving a new problem or improving an existing method. | * **Objective**: Implement your novel contribution to the field, either by solving a new problem or improving an existing method. | ||
| * **Types of Contributions**: | * **Types of Contributions**: | ||
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| * Apply a novel training strategy, such as self-supervised learning or data augmentation techniques. | * Apply a novel training strategy, such as self-supervised learning or data augmentation techniques. | ||
| * Propose a hybrid model that combines multiple approaches (e.g., combining CNNs with decision trees). | * Propose a hybrid model that combines multiple approaches (e.g., combining CNNs with decision trees). | ||
| - | * **Documentation**: Write a report section (2 pages excluding references) **justifying your chosen approach**, detailing your contribution, how it differs from existing work, and comparing your experimental results to the baseline and state of the art. | + | * **Documentation** (IEEE conference paper format): Write a report section (2 pages excluding references) **justifying your chosen approach**, detailing your contribution, how it differs from existing work, and comparing your experimental results to the baseline and state of the art. |
| - | * **Upload Documentation**: [[https://curs.upb.ro/2024/mod/assign/view.php?id=49446|Upload]] | + | * **Upload Documentation and code**: [[https://curs.upb.ro/2024/mod/assign/view.php?id=49446|Upload]] |
| == 4. M4 (08.01.25) - Project Report (1p) == | == 4. M4 (08.01.25) - Project Report (1p) == | ||
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| * **Upload Documentation**: [[https://curs.upb.ro/2024/mod/assign/view.php?id=49445|Upload]] | * **Upload Documentation**: [[https://curs.upb.ro/2024/mod/assign/view.php?id=49445|Upload]] | ||
| - | == 5. M5 - Project Presentation (percentage-based grading) == | + | == 5. M5 (08.01.25) - Project Presentation (percentage-based grading) == |
| * **Objective**: Present your project and findings to the class. | * **Objective**: Present your project and findings to the class. | ||
| * **Action Items**: | * **Action Items**: | ||
