Nikolaos Passalis

According to our database1, Nikolaos Passalis authored at least 26 papers between 2015 and 2018.

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



In proceedings 
PhD thesis 




Dimensionality Reduction Using Similarity-Induced Embeddings.
IEEE Trans. Neural Netw. Learning Syst., 2018

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

Explicit ensemble attention learning for improving visual question answering.
Pattern Recognition Letters, 2018

Learning bag-of-embedded-words representations for textual information retrieval.
Pattern Recognition, 2018

PySEF: A python library for similarity-based dimensionality reduction.
Knowl.-Based Syst., 2018

Machine Learning for Forecasting Mid Price Movement using Limit Order Book Data.
CoRR, 2018

Probabilistic Knowledge Transfer for Deep Representation Learning.
CoRR, 2018

Learning Discriminative Representations for Big Data Clustering Using Similarity-Based Dimensionality Reduction.
Proceedings of the 13th IEEE Image, Video, and Multidimensional Signal Processing Workshop, 2018

Accelerating Similarity-Based Discriminant Analysis Using Class-Specific Prototypes.
Proceedings of the 2018 IEEE International Conference on Image Processing, 2018

Learning Deep Representations with Probabilistic Knowledge Transfer.
Proceedings of the Computer Vision - ECCV 2018, 2018

Deep reinforcement learning for frontal view person shooting using drones.
Proceedings of the 2018 IEEE Conference on Evolving and Adaptive Intelligent Systems, 2018

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

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

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