Nikolaos Passalis

According to our database1, Nikolaos Passalis
  • authored at least 17 papers between 2015 and 2018.
  • has a "Dijkstra number"2 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

On csauthors.net:

Bibliography

2018
Information Clustering Using Manifold-Based Optimization of the Bag-of-Features Representation.
IEEE Trans. Cybernetics, 2018

Probabilistic Knowledge Transfer for Deep Representation Learning.
CoRR, 2018

2017
Learning Neural Bag-of-Features for Large-Scale Image Retrieval.
IEEE Trans. Systems, Man, and Cybernetics: Systems, 2017

Neural Bag-of-Features learning.
Pattern Recognition, 2017

Learning Bag-of-Features Pooling for Deep Convolutional Neural Networks.
CoRR, 2017

Dimensionality Reduction using Similarity-induced Embeddings.
CoRR, 2017

Forecasting Stock Prices from the Limit Order Book Using Convolutional Neural Networks.
Proceedings of the 19th IEEE Conference on Business Informatics, 2017

Learning Bag-of-Features Pooling for Deep Convolutional Neural Networks.
Proceedings of the IEEE International Conference on Computer Vision, 2017

Using deep learning to detect price change indications in financial markets.
Proceedings of the 25th European Signal Processing Conference, 2017

Time-series classification using neural Bag-of-Features.
Proceedings of the 25th European Signal Processing Conference, 2017

Concept detection and face pose estimation using lightweight convolutional neural networks for steering drone video shooting.
Proceedings of the 25th European Signal Processing Conference, 2017

Improving Face Pose Estimation Using Long-Term Temporal Averaging for Stochastic Optimization.
Proceedings of the Engineering Applications of Neural Networks, 2017

2016
Entropy Optimized Feature-Based Bag-of-Words Representation for Information Retrieval.
IEEE Trans. Knowl. Data Eng., 2016

Spectral Clustering using Optimized Bag-of-Features.
Proceedings of the 9th Hellenic Conference on Artificial Intelligence, 2016

Spatial Bag of Features Learning for Large Scale Face Image Retrieval.
Proceedings of the Advances in Big Data, 2016

Bag of Embedded Words learning for text retrieval.
Proceedings of the 23rd International Conference on Pattern Recognition, 2016

2015
MultiSpot: Spotting Sentiments with Semantic Aware Multilevel Cascaded Analysis.
Proceedings of the Big Data Analytics and Knowledge Discovery, 2015


  Loading...