249 citations · 1.2k across the 77 of their papers we have counts for
10 papers · 1 filter
Recognition of Defective Mineral Wool Using Pruned ResNet Models
Mehdi Rafiei, Dat Thanh Tran, Alexandros Iosifidis
Mineral wool production is a non-linear process that makes it hard to control the final quality. Therefore, having a non-destructive method to analyze the product quality and recog…
Learning Diversified Feature Representations for Facial Expression Recognition in the Wild
Negar Heidari, Alexandros Iosifidis
Diversity of the features extracted by deep neural networks is important for enhancing the model generalization ability and accordingly its performance in different learning tasks.…
Efficient CNN with uncorrelated Bag of Features pooling
Firas Laakom, Jenni Raitoharju, Alexandros Iosifidis +1
Despite the superior performance of CNN, deploying them on low computational power devices is still limited as they are typically computationally expensive. One key cause of the hi…
A multimodal stress detection dataset with facial expressions and physiological signals
Majid Hosseini, Fahad Sohrab, Raju Gottumukkala +5
Affective computing has garnered the attention and interest of researchers in recent years, as there is a need for AI systems to better understand and react to human emotions. Howe…
VPIT: Real-time Embedded Single Object 3D Tracking Using Voxel Pseudo Images
Illia Oleksiienko, Paraskevi Nousi, Nikolaos Passalis +2
In this paper, we propose a novel voxel-based 3D single object tracking (3D SOT) method called Voxel Pseudo Image Tracking (VPIT). VPIT is the first method that uses voxel pseudo i…
Generalized Reference Kernel for One-class Classification
Jenni Raitoharju, Alexandros Iosifidis
In this paper, we formulate a new generalized reference kernel hoping to improve the original base kernel using a set of reference vectors. Depending on the selected reference vect…
How informative is the Order Book Beyond the Best Levels? Machine Learning Perspective
Dat Thanh Tran, Juho Kanniainen, Alexandros Iosifidis
Research on limit order book markets has been rapidly growing and nowadays high-frequency full order book data is widely available for researchers and practitioners. However, it is…
Self-attention fusion for audiovisual emotion recognition with incomplete data
Kateryna Chumachenko, Alexandros Iosifidis, Moncef Gabbouj
In this paper, we consider the problem of multimodal data analysis with a use case of audiovisual emotion recognition. We propose an architecture capable of learning from raw data…
Self-Attention Neural Bag-of-Features
Kateryna Chumachenko, Alexandros Iosifidis, Moncef Gabbouj
In this work, we propose several attention formulations for multivariate sequence data. We build on top of the recently introduced 2D-Attention and reformulate the attention learni…
Fighting Money Laundering with Statistics and Machine Learning
Rasmus Jensen, Alexandros Iosifidis
Money laundering is a profound global problem. Nonetheless, there is little scientific literature on statistical and machine learning methods for anti-money laundering. In this pap…