Generative Deep Learning for Virtuosic Classical Music: Generative Adversarial Networks as Renowned Composers. - Daniel Szelogowski (CoRR, 2021)

Visualization Techniques with Data Cubes: Utilizing Concurrency for Complex Data. - Daniel Szelogowski (CoRR, 2021)

Optimizing Data Cube Visualization for Web Applications: Performance and User-Friendly Data Aggregation. - Daniel Szelogowski (CoRR, 2021)

Chunk List: Concurrent Data Structures. - Daniel Szelogowski (CoRR, 2021)

Emotion Recognition of the Singing Voice: Toward a Real-Time Analysis Tool for Singers. - Daniel Szelogowski (CoRR, 2021)

A Novel Dataset and Deep Learning Benchmark for Classical Music Form Recognition and Analysis. - Daniel Szelogowski; Lopamudra Mukherjee; Benjamin Whitcomb (ISMIR, 2022)

Simulation of Neural Responses to Classical Music Using Organoid Intelligence Methods. - Daniel Szelogowski (CoRR, 2024)

Engram Memory Encoding and Retrieval: A Neurocomputational Perspective. - Daniel Szelogowski (CoRR, 2025)

Hebbian Memory-Augmented Recurrent Networks: Engram Neurons in Deep Learning. - Daniel Szelogowski (CoRR, 2025)