Nikolaos Passalis

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Papers (11)

1. Reversible Privacy Preservation using Multi-level Encryption and Compressive Sensing cs.CR · 2019 · author #3
2. Temporal Logistic Neural Bag-of-Features for Financial Time series Forecasting leveraging Limit Order Book Data cs.LG · 2019 · author #1
3. Deep Supervised Hashing leveraging Quadratic Spherical Mutual Information for Content-based Image Retrieval cs.CV · 2019 · author #1
4. Style Decomposition for Improved Neural Style Transfer cs.CV · 2018 · author #2
5. Interactive dimensionality reduction using similarity projections cs.CV · 2018 · author #2
6. Decoding Generic Visual Representations From Human Brain Activity using Machine Learning cs.NE · 2018 · author #2
7. Using Deep Learning for price prediction by exploiting stationary limit order book features cs.LG · 2018 · author #2
8. Machine Learning for Forecasting Mid Price Movement using Limit Order Book Data cs.CE · 2018 · author #3
9. Learning Deep Representations with Probabilistic Knowledge Transfer cs.LG · 2018 · author #1
10. Learning Bag-of-Features Pooling for Deep Convolutional Neural Networks cs.CV · 2017 · author #1
11. Dimensionality Reduction using Similarity-induced Embeddings cs.CV · 2017 · author #1

Mentions

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Frequent Coauthors

• Anastasios Tefas 10 shared papers
• Moncef Gabbouj 4 shared papers
• Alexandros Iosifidis 3 shared papers
• Juho Kanniainen 3 shared papers
• Avraam Tsantekidis 2 shared papers
• Adamantios Ntakaris 1 shared papers
• Angeliki Papadimitriou 1 shared papers
• Bulent Sankur 1 shared papers
• Dimitris Spathis 1 shared papers
• Jenni Raitoharju 1 shared papers
• Mehmet Yamac 1 shared papers
• Mete Ahishali 1 shared papers
• Paraskevas Pegios 1 shared papers
• Paraskevi Nousi 1 shared papers