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Institut for Elektro- og Computerteknologi

Publications

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Iosifidis, A. & Gabbouj, M. (2017). Hierarchical Class-Specific Kernel Discriminant Analysis for Face Verification. I VCIP 2016 - 30th Anniversary of Visual Communication and Image Processing Artikel 7805565 IEEE. https://doi.org/10.1109/VCIP.2016.7805565

Thanh Tran, D., Iosifidis, A. & Gabbouj, M. (2017). Improving Efficiency in Convolutional Neural Network with Multilinear Filters. arxiv.org. https://arxiv.org/pdf/1709.09902

Mygdalis, V., Iosifidis, A., Tefas, A. & Pitas, I. (2017). Laplacian One Class Extreme Learning Machine for Human Action Recognition. I 2016 IEEE 18th International Workshop on Multimedia Signal Processing, MMSP 2016 Artikel 7813387 IEEE. https://doi.org/10.1109/MMSP.2016.7813387

Aytekin, C., Iosifidis, A., Kiranyaz, S. & Gabbouj, M. (2017). Learning Graph Affinities for Spectral Graph-based Salient Object Detection. Pattern Recognition, 64, 159-167. https://doi.org/10.1016/j.patcog.2016.11.005

Thanh Tran, D., Gabbouj, M. & Iosifidis, A. (2017). Multilinear Class-Specific Discriminant Analysis. Pattern Recognition Letters, 100, 131-136. https://doi.org/10.1016/j.patrec.2017.10.027

Cao, G., Waris, M. A., Iosifidis, A. & Gabbouj, M. (2017). Multi-modal Subspace Learning with Dropout regularization for Cross-modal Recognition and Retrieval. I 2016 6th International Conference on Image Processing Theory, Tools and Applications, IPTA 2016 Artikel 7821032 IEEE. https://doi.org/10.1109/IPTA.2016.7821032

Cao, G., Iosifidis, A. & Gabbouj, M. (2017). Multi-view Nonparametric Discriminant Analysis for Image Retrieval and Recognition. IEEE Signal Processing Letters, 24(10), 1537-1541. Artikel 8023967. https://doi.org/10.1109/LSP.2017.2748392

Iosifidis, A., Mygdalis, V., Tefas, A. & Pitas, I. (2017). One-Class Classification based on Extreme Learning and Geometric Class Information. Neural Processing Letters, 45(2), 577-592. https://doi.org/10.1007/s11063-016-9541-y

Samiee, K., Iosifidis, A. & Gabbouj, M. (2017). On the comparison of random and Hebbian weights for the training of single-hidden layer feedforward neural networks. Expert Systems with Applications, 83, 177-186. https://doi.org/10.1016/j.eswa.2017.04.025

Iosifidis, A. & Gabbouj, M. (2017). Prototype-based Class-Specific Nonlinear Subspace Learning for Large-Scale Face Verification. I 2016 6th International Conference on Image Processing Theory, Tools and Applications, IPTA 2016 Artikel 7820988 IEEE. https://doi.org/10.1109/IPTA.2016.7820988

Muravev, A., Can Ozan, E., Iosifidis, A. & Gabbouj, M. (2017). Pyramid Encoding for Fast Additive Quantization. Proceedings of the European Signal Processing Conference, 2017, 2575-2579. https://doi.org/10.23919/EUSIPCO.2017.8081662

Thanh Tran, D., Waris, M. A., Gabbouj, M. & Iosifidis, A. (2017). Sample-based regularization for Support Vector Machine Classification. I The 7th International Conference on Image Processing, Tools and Applications http://www.cs.tut.fi/~iosifidi/files/conference/2017_IPTA_DropOutSVM.pdf?dl=0

Schiopu, I., Gabbouj, M., Iosifidis, A., Zeng, B. & Liu, S. (2017). Subaperture Image Segmentation for Lossless Compression. I The seventh International Conference on Image Processing Theory, Tools and Applications http://www.cs.tut.fi/~iosifidi/files/conference/2017_IPTA_SAIC.pdf?dl=0

Ärje, J., Kärkkäinen, S., Meissner, K., Iosifidis, A., Ince, T., Gabbouj, M. & Kiranyaz, S. (2017). The effect of automated taxa identification errors on biological indices. Expert Systems with Applications, 72, 108-120. https://doi.org/10.1016/j.eswa.2016.12.015

Passalis, N., Tsantekidis, A., Tefas, A., Kanniainen, J., Gabbouj, M. & Iosifidis, A. (2017). Time-series Classification using Neural Bag-of-Features. Proceedings of the European Signal Processing Conference, 2017, 311-315. https://doi.org/10.23919/EUSIPCO.2017.8081217

Tsantekidis, A., Passalis, N., Tefas, A., Kanniainen, J., Gabbouj, M. & Iosifidis, A. (2017). Using Deep Learning to Detect Price Change Indications in Financial Markets. Proceedings of the European Signal Processing Conference, 2017, 2580-2584. https://doi.org/10.23919/EUSIPCO.2017.8081663

Muravev, A., Thanh Tran, D., Iosifidis, A., Kiranyaz, S. & Gabbouj, M. (2018). Acceleration approaches for big data analysis. I 2018 IEEE International Conference on Image Processing, ICIP 2018 - Proceedings: Proceedings (s. 311-315). Artikel 8451082 IEEE. https://doi.org/10.1109/ICIP.2018.8451082

Thanh Tran, D., Høye, T. T., Gabbouj, M. & Iosifidis, A. (2018). Automatic Flower and Visitor Detection System. Proceedings of the European Signal Processing Conference, 2018, 405-409. https://doi.org/10.23919/EUSIPCO.2018.8553494

Raitoharju, J., Riabchenko, E., Ahmad, I., Iosifidis, A., Gabbouj, M., Kiranyaz, S., Tirronen, V., Ärje, J., Kärkkäinen, S. & Meissner, K. (2018). Benchmark Database for Fine-Grained Image Classification of Benthick Macroinvertebrates. Image and Vision Computing, 78, 73-83. https://doi.org/10.1016/j.imavis.2018.06.005

Ntakaris, A., Magris, M., Kanniainen, J., Gabbouj, M. & Iosifidis, A. (2018). Benchmark dataset for mid-price forecasting of limit order book data with machine learning methods. Journal of Forecasting, 37(8), 852-866. https://doi.org/10.1002/for.2543

Cao, G., Iosifidis, A., Chen, K. & Gabbouj, M. (2018). Generalized Multi-View Embedding for Visual Recognition and Cross-Modal Retrieval. IEEE Transactions on Cybernetics, 48(9), 2542-2555. Artikel 8026149. https://doi.org/10.1109/TCYB.2017.2742705

Tran, D. T., Iosifidis, A. & Gabbouj, M. (2018). Improving efficiency in convolutional neural networks with multilinear filters. Neural Networks, 105, 328-339. https://doi.org/10.1016/j.neunet.2018.05.017

Cao, G., Iosifidis, A. & Gabbouj, M. (2018). Neural class-specific regression for face verification. IET Biometrics, 7(1), 63-70. https://doi.org/10.1049/iet-bmt.2017.0081

Aytekin, C., Iosifidis, A. & Gabbouj, M. (2018). Probabilistic Saliency Estimation. Pattern Recognition, 74, 359-372. https://doi.org/10.1016/j.patcog.2017.09.023

Mygdalis, V., Iosifidis, A., Tefas, A. & Pitas, I. (2018). Semi-Supervised Subclass Support Vector Data Description for Image and Video Classification. Neurocomputing, 278, 51-61. https://doi.org/10.1016/j.neucom.2017.08.028

Sohrab, F., Raitoharju, J., Gabbouj, M. & Iosifidis, A. (2018). Subspace Support Vector Data Description. I 2018 24th International Conference on Pattern Recognition, ICPR 2018: ICPR 2018 (Bind 2018, s. 722-727). Artikel 8545819 IEEE. https://doi.org/10.1109/ICPR.2018.8545819

Tran, D. T., Magris, M., Kanniainen, J., Gabbouj, M. & Iosifidis, A. (2018). Tensor representation in high-frequency financial data for price change prediction. I 2017 IEEE Symposium Series on Computational Intelligence: SSCI 2017 - Proceedings (Bind 2017, s. 1-7). IEEE. https://doi.org/10.1109/SSCI.2017.8280812

Xu, L., Iosifidis, A. & Gabbouj, M. (2018). Weighted Linear Discriminant Analysis Based on Class Saliency Information. I 2018 IEEE International Conference on Image Processing, ICIP 2018 - Proceedings: Proceedings (s. 2306-2310). Artikel 8451614 IEEE. https://doi.org/10.1109/ICIP.2018.8451614

Ärje, J., Milioris, D., Tran, D. T., Jepsen, J. U., Raitoharju, J., Gabbouj, M., Iosifidis, A. & Høye, T. T. (2019). Automatic Flower Detection and Classification System Uing a Light-Weight Convolutional Neural Network. I 27th European Signal Processing Conference EUSIPCO 2019 IEEE. http://eusipco2019.org/Proceedings/papertitles.html

Passalis, N., Tefas, A., Iosifidis, A. & Gabbouj, M. (2019). Class-based Variational Representation Learning for Robust Image Retrieval. I 2019 IEEE International Conference on Image Processing, ICIP 2019 - Proceedings (s. 854-858). Artikel 8802945 IEEE. https://doi.org/10.1109/ICIP.2019.8802945

Laakom, F., Raitoharju, J., Iosifidis, A., Nikkanen, J. & Gabbouj, M. (2019). Color Constancy Convolutional Autoencoder. (s. 1085-1090). https://arxiv.org/abs/1906.01340

Panagiotatos, G., Passalis, N., Iosifidis, A., Gabbouj, M. & Tefas, A. (2019). Curriculum-based Teacher Ensemble for Robust Neural Network Distilation. I 27th European Signal Processing Conference EUSIPCO 2019 IEEE. http://eusipco2019.org/Proceedings/papertitles.html

Panagiotatos, G., Passalis, N., Iosifidis, A., Gabbouj, M. & Tefas, A. (2019). Curriculum-based teacher ensemble for robust neural network distillation. I 2019 27th European Signal Processing Conference (EUSIPCO) IEEE. https://doi.org/10.23919/EUSIPCO.2019.8903112

Thanh Tran, D., Kanniainen, J., Gabbouj, M. & Iosifidis, A. (2019). Data-driven Neural Architecture Learning for Financial Time-series Forecasting. I Digital Image and Signal Processing https://arxiv.org/ftp/arxiv/papers/1903/1903.06751.pdf

Passalis, N., Tefas, A., Kanniainen, J., Gabbouj, M. & Iosifidis, A. (2019). Deep Adaptive Input Normalization for Time Series Forecasting. arxiv.org. https://arxiv.org/pdf/1902.07892.pdf

Passalis, N., Tefas, A., Kanniainen, J., Gabbouj, M. & Iosifidis, A. (2019). Deep Temporal Logistic Bag-of-features for Forecasting High Frequency Limit Order Book Time Series. I 2019 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2019 - Proceedings (s. 7545-7549). Artikel 8682297 IEEE. https://doi.org/10.1109/ICASSP.2019.8682297

Ntakaris, A., Mirone, G., Kanniainen, J., Gabbouj, M. & Iosifidis, A. (2019). Feature Engineering for Mid-Price Prediction with Deep Learning. IEEE Access, 7, 82390 - 82412. Artikel 8743410. https://doi.org/10.1109/ACCESS.2019.2924353

Makinen, Y., Kanniainen, J., Gabbouj, M. & Iosifidis, A. (2019). Forecasting jump arrivals in stock prices: new attention-based network architecture using limit order book data. Quantitative Finance, 19(12), 2033-2050 . https://doi.org/10.1080/14697688.2019.1634277

Mäkinen, M., Kanniainen, J., Gabbouj, M. & Iosifidis, A. (2019). Forecasting of Jump Arrivals in Stock Prices: New Attention-based Network Architecture using Limit Order Book Data. arxiv.org. https://arxiv.org/pdf/1810.10845.pdf

Hansen, O. L. P., Svenning, J.-C., Olsen, K., Dupont, S., Garner, B. H., Iosifidis, A., Price, B. W. & Høye, T. T. (2019). Image data used for publication "Species-level image classification with convolutional neural network enable insect identification from habitus images". Datasæt https://doi.org/10.5281/zenodo.3549369

Thanh Tran, D., Kiranyaz, S., Gabbouj, M. & Iosifidis, A. (2019). Knowledge Transfer For Face Verification Using Heterogeneous Generalized Operational Perceptrons. I 2019 IEEE International Conference on Image Processing (ICIP) (s. 1168-1172). Artikel 8804296 IEEE. https://doi.org/10.1109/ICIP.2019.8804296

Tran, D. T. & Iosifidis, A. (2019). Learning to Rank: A Progressive Neural Network Learning Approach. I 2019 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2019 - Proceedings (s. 8355-8359). Artikel 8683711 IEEE. https://doi.org/10.1109/ICASSP.2019.8683711

Tzogka, C., Passalis, N., Iosifidis, A., Gabbouj, M. & Tefas, A. (2019). Less is more: Deep Learning using subjective annotations for sentiment analysis from social media. I 2019 IEEE 29th International Workshop on Machine Learning for Signal Processing, MLSP 2019: Proceedings Artikel 8918792 IEEE. https://doi.org/10.1109/MLSP.2019.8918792

Nousi, P., Tsantekidis, A., Passalis, N., Ntakaris, A., Kanniainen, J., Tefas, A., Gabbouj, M. & Iosifidis, A. (2019). Machine Learning for Forecasting Mid Price Movement using Limit Order Book Data. IEEE Access, 7, 64722 - 64736 . Artikel 8713851. https://doi.org/10.1109/ACCESS.2019.2916793

Gautam, C., Tiwari, A. & Iosifidis, A. (2019). Minimum Variance-Embedded Multi-layer Kernel Ridge Regression for One-class Classification. I S. Sundaram (red.), Proceedings of the 2018 IEEE Symposium Series on Computational Intelligence, SSCI 2018 (s. 389-396). Artikel 8628692 IEEE. https://doi.org/10.1109/SSCI.2018.8628692

Tran, D. T., Kiranyaz, S., Gabbouj, M. & Iosifidis, A. (2019). PyGOP: A Python library for Generalized Operational Perceptron algorithms. Knowledge-Based Systems, 182, Artikel 104801. https://doi.org/10.1016/j.knosys.2019.06.009

Tran, D. T., Iosifidis, A., Kanniainen, J. & Gabbouj, M. (2019). Temporal Attention-Augmented Bilinear Network for Financial Time-Series Data Analysis. IEEE Transactions on Neural Networks and Learning Systems, 30(5), 1407 - 1418 . https://doi.org/10.1109/TNNLS.2018.2869225

Passalis, N., Tefas, A., Kanniainen, J., Gabbouj, M. & Iosifidis, A. (2020). Adaptive Normalization for Forecasting Limit Order Book Data Using Convolutional Neural Networks. I 2020 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2020 - Proceedings (s. 1713-1717). Artikel 9054321 IEEE. https://doi.org/10.1109/ICASSP40776.2020.9054321

Ärje, J., Melvad, C., Jeppesen, M. R., Madsen, S. A., Raitoharju, J., Rasmussen, M. S., Iosifidis, A., Tirronen, V., Gabbouj, M., Meissner, K. & Høye, T. T. (2020). Automatic image-based identification and biomass estimation of invertebrates. Methods in Ecology and Evolution, 11(8), 922-931. https://doi.org/10.1111/2041-210X.13428

Laakom, F., Passalis, N., Raitoharju, J., Nikkanen, J., Tefas, A., Iosifidis, A. & Gabbouj, M. (2020). Bag of Color Features for Color Constancy. IEEE Transactions on Image Processing, 29, 7722-7734. Artikel 9130881. https://doi.org/10.1109/TIP.2020.3004921

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Revideret 10.08.2023

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Alexandros Iosifidis