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- Dr. Ioannis Katsavounidis (Meta Platforms, IEEE Distinguished Industry Speaker 2025) talk on Video Quality Optimization in Adaptive Streaming
- AI-Enhanced Passive Radar: Leveraging 5G Signal Reflectance for Drone Detection
- Video quality optimization in adaptive streaming
- Brain Inspired Intelligence for Semantic Video Compression
- Soil Moisture Retrieval using In Situ and Data Simulation Regularized Deep Learning Models
- Low-Cost Remote Sensing of Root Zone Soil Moisture, Ground Water, and Snow Depth with Ultrawideband Drone-mounted Software-Defined Radar
- 2nd Greek ERA Chairs Meeting
- COSMO 21
- Greek ERA Chairs in Press
- IEEE International Geoscience and Remote Sensing Symposium
- Dr. Effrosyni Doutsi ERA Funding
- Robust Machine Learning, Reinforcement Learning and Autonomy: A Unifying Theory via Performance and Risk Tradeoff
- IEEE IGARSS 2024 MANUSCRIPT Deadline
- Cosmo 21
- Greek ERA Chairs Day
- ADA-X: 10th Astronomical Data Analysis Summer School
- Research Night 2023
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- Integrating Physics and Machine Learning for Soil Moisture Retrieval Using CYGNSS Observations
- Age of Incorrect Information with Hybrid ARQ under a Resource Constraint for N-ary Symmetric Markov Sources
- A Spatiotemporal Decomposition of a Video Stream Based on the Retina-Inspired Filter
- Distribution-free uncertainty quantification for inverse problems: application to weak lensing mass mapping
- Variable-Length Stop-Feedback Coding for Minimum Age of Incorrect Information
- Exploring the Potential of Recurrence Quantification Analysis for Video Analysis and Motion Detection
- Quantifying Uncertainty in Machine Learning Based Soil Moisture Retrieval From GNSS-R Measurements
- Quantifying the Predictive Capacity of Dynamic Graph Measures on Systemic and Tail Risk
- Unveiling galaxy protoclusters in the era of Euclid
- Mapping Wildfire Burned Area Using GNSS-Reflectometry in Densely Vegetated Regions with Complex Topography: A Machine Learning Approach,
- Uncertainty Quantification in Machine Learning Based Retrieval of Soil Moisture from GNSS-R Observations
- Physics-Constrained Deep Learning Models for Microwave Retrieval of High-Resolution Soil Moisture
- Leveraging Sparse Input and Sparse Models: Efficient Distributed Learning in Resource-Constrained Environments
- Soil Moisture Retrieval Using in Situ and Data Simulation Regularized Deep Learning Model
- Unsupervised Change Detection on Multi-Temporal Satellite Images Using Tensor Decomposition Learning
- Measuring the substructure mass power spectrum of 23 SLACS strong galaxy–galaxy lenses with convolutional neural networks
- Necessary reforms in the Greek academic system
- LiteBIRD science goals and forecasts: improving sensitivity to inflationary gravitational waves with multitracer delensing
- LiteBIRD science goals and forecasts: a full-sky measurement of gravitational lensing of the CMB
- Theoretical wavelet ℓ1-norm from one-point probability density function prediction
- Higher-Order Convolutional Neural Networks for Essential Climate Variables Forecasting
- Ground-based image deconvolution with Swin Transformer UNet
- De Novo Antimicrobial Peptide Design with Feedback Generative Adversarial Networks
- Multitask Classification of Antimicrobial Peptides for Simultaneous Assessment of Antimicrobial Property and Structural Fold
- A Generative Neighborhood-based Deep Autoencoder for Robust Imbalanced Classification
- Quantifying the structure of strong gravitational lens potentials with uncertainty-aware deep neural networks
- Deep Learning for Multilabel Land Cover Scene Categorization Using Data Augmentation Journal Article
- 4D U-Nets for Multi-Temporal Remote Sensing Data Classification
- Neuronal Communication Process Opens New Directions in Image and Video Compression Systems In Proceedings
- A Study on the Effect of Distinct Adjacency Matrices for Graph Signal Denoising In Proceedings
- Automating Mixing of User-Generated Audio Recordings from the Same Event Journal Article
- Convolutional Neural Networks for Video Quality Assessment
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- Feature selection & performance characterization of multi-hop WSN 6
- Feature selection & performance characterization of multi-hop WSN
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- Robust Machine Learning, Reinforcement Learning and Autonomy: A Unifying Theory via Performance and Risk Tradeoff
- Continual Inference Networks for Real-time Stream Data Processing
- TSMS: TreeSHAP Model Selection for Time Series Forecasting
- Explainable Adaptation of Time Series Forecasting using Regions of Competence
- ADA-X: 10th Astronomical Data Analysis Summer School
- Greek ERA Chairs Day
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