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Daniel Szelogowski
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[i8]Daniel Szelogowski
:
Engram Memory Encoding and Retrieval: A Neurocomputational Perspective. CoRR abs/2506.01659 (2025)
[i7]Daniel Szelogowski
:
Hebbian Memory-Augmented Recurrent Networks: Engram Neurons in Deep Learning. CoRR abs/2507.21474 (2025)- 2024
[i6]Daniel Szelogowski
:
Simulation of Neural Responses to Classical Music Using Organoid Intelligence Methods. CoRR abs/2407.18413 (2024)- 2022
[c1]Daniel Szelogowski, Lopamudra Mukherjee, Benjamin Whitcomb:
A Novel Dataset and Deep Learning Benchmark for Classical Music Form Recognition and Analysis. ISMIR 2022: 900-907- 2021
[i5]Daniel Szelogowski
:
Generative Deep Learning for Virtuosic Classical Music: Generative Adversarial Networks as Renowned Composers. CoRR abs/2101.00169 (2021)
[i4]Daniel Szelogowski
:
Visualization Techniques with Data Cubes: Utilizing Concurrency for Complex Data. CoRR abs/2101.00170 (2021)
[i3]Daniel Szelogowski
:
Optimizing Data Cube Visualization for Web Applications: Performance and User-Friendly Data Aggregation. CoRR abs/2101.00171 (2021)
[i2]Daniel Szelogowski
:
Chunk List: Concurrent Data Structures. CoRR abs/2101.00172 (2021)
[i1]Daniel Szelogowski
:
Emotion Recognition of the Singing Voice: Toward a Real-Time Analysis Tool for Singers. CoRR abs/2105.00173 (2021)

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