Ioannis Ziogas

Orcid: 0000-0001-9760-2689

According to our database1, Ioannis Ziogas authored at least 9 papers between 2022 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Cochceps-Augment: A Novel Self-Supervised Contrastive Learning Using Cochlear Cepstrum-Based Masking for Speech Emotion Recognition.
Proceedings of the IEEE International Conference on Acoustics, 2024

2023
Bispectral Analysis of Parkinsonian Rest Tremor: New Characterization and Classification Insights Pre-/Post-DBS and Medication Treatment.
IEEE Access, 2023

Memento: Facilitating Effortless, Efficient, and Reliable ML Experiments.
Proceedings of the Machine Learning and Knowledge Discovery in Databases: Applied Data Science and Demo Track, 2023

Deep Bispectral Image Analysis for Imu-Based Parkinsonian Tremor Detection.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

Dynamic Monitoring of Probiotics Effect in Parkinson's Disease Patients via Swarm Decomposition and Bispectral Analysis of Electrogastrograms.
Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023

Classification of children with ADHD through task-related EEG recordings via Swarm-Decomposition-based Phase Locking Value.
Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023

Emotional Climate Recognition in Conversations using Peers' Speech-based Bispectral Features and Affect Dynamics.
Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023

Parkinsonian Tremor Detection with Compact Convolutional Transformer from Bispectrum Representation of tri-Axial Accelerometer Signals.
Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023

2022
Divide and Imitate: Multi-cluster Identification and Mitigation of Selection Bias.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2022


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