Network of evolutionary binary classifiers for classification and retrieval in macroinvertebrate databases. - Serkan Kiranyaz; Moncef Gabbouj; Jenni Pulkkinen; Turker Ince; Kristian Meissner (ICIP, 2010)

Evaluation of global and local training techniques over feed-forward neural network architecture spaces for computer-aided medical diagnosis. - Turker Ince; Serkan Kiranyaz; Jenni Pulkkinen; Moncef Gabbouj (Expert Syst. Appl., 2010)

Collective network of evolutionary binary classifiers for content-based image retrieval. - Serkan Kiranyaz; Stefan Uhlmann; Jenni Pulkkinen; Moncef Gabbouj; Turker Ince (EAIS, 2011)

Multi-dimensional evolutionary feature synthesis for content-based image retrieval. - Serkan Kiranyaz; Jenni Pulkkinen; Turker Ince; Moncef Gabbouj (ICIP, 2011)

Classification and retrieval on macroinvertebrate image databases. - Serkan Kiranyaz; Turker Ince; Jenni Pulkkinen; Moncef Gabbouj; Johanna Ärje; Salme Kärkkäinen; Ville Tirronen; Martti Juhola; Tuomas Turpeinen; Kristian Meissner (Comput. Biol. Medicine, 2011)

Multi-dimensional particle swarm optimization in dynamic environments. - Serkan Kiranyaz; Jenni Pulkkinen; Moncef Gabbouj (Expert Syst. Appl., 2011)

Personalized long-term ECG classification: A systematic approach. - Serkan Kiranyaz; Turker Ince; Jenni Pulkkinen; Moncef Gabbouj (Expert Syst. Appl., 2011)

Evolutionary feature generation for content-based audio classification and retrieval. - Toni Mäkinen; Serkan Kiranyaz; Jenni Pulkkinen; Moncef Gabbouj (EUSIPCO, 2012)

An evolutionary feature synthesis approach for content-based audio retrieval. - Toni Mäkinen; Serkan Kiranyaz; Jenni Raitoharju; Moncef Gabbouj (EURASIP J. Audio Speech Music. Process., 2012)

Evolutionary feature synthesis by multi-dimensional particle swarm optimization. - Jenni Raitoharju; Serkan Kiranyaz; Moncef Gabbouj (EUVIP, 2014)

Tut MUVIS image retrieval system proposal for MSR-Bing challenge 2014. - Jenni Raitoharju; Honglei Zhang; Ezgi Can Ozan; Muhammad-Adeel Waris; Muhammad Faisal; Guanqun Cao; Mikko Roininen; Iftikhar Ahmad 001; Ranjeeth Shetty; Stefan Uhlmann; Kaveh Samiee; Serkan Kiranyaz; et al. (ICME Workshops, 2014)

Evaluating the performance of artificial neural networks for the classification of freshwater benthic macroinvertebrates. - Henry Joutsijoki; Kristian Meissner; Moncef Gabbouj; Serkan Kiranyaz; Jenni Raitoharju; Johanna Ärje; Salme Kärkkäinen; Ville Tirronen; Tuomas Turpeinen; Martti Juhola (Ecol. Informatics, 2014)

Data Enrichment in Fine-Grained Classification of Aquatic Macroinvertebrates. - Jenni Raitoharju; Ekaterina Riabchenko; Kristian Meissner; Iftikhar Ahmad 001; Alexandros Iosifidis; Moncef Gabbouj; Serkan Kiranyaz (CVAUI@ICPR, 2016)

Limited random walk algorithm for big graph data clustering. - Honglei Zhang; Jenni Raitoharju; Serkan Kiranyaz; Moncef Gabbouj (J. Big Data, 2016)

Training Radial Basis Function Neural Networks for Classification via Class-Specific Clustering. - Jenni Raitoharju; Serkan Kiranyaz; Moncef Gabbouj (IEEE Trans. Neural Networks Learn. Syst., 2016)

Human experts vs. machines in taxa recognition. - Johanna Ärje; Ville Tirronen; Salme Kärkkäinen; Kristian Meissner; Jenni Raitoharju; Moncef Gabbouj; Serkan Kiranyaz (CoRR, 2017)

Particle swarm clustering fitness evaluation with computational centroids. - Jenni Raitoharju; Kaveh Samiee; Serkan Kiranyaz; Moncef Gabbouj (Swarm Evol. Comput., 2017)

Multidimensional Particle Swarm Optimization for Machine Learning. - Jenni Raitoharju (2017)

On the Layer Selection in Small-Scale Deep Networks. - Anton Muravev; Jenni Raitoharju; Moncef Gabbouj (EUVIP, 2018)

Subspace Support Vector Data Description. - Fahad Sohrab; Jenni Raitoharju; Moncef Gabbouj; Alexandros Iosifidis (ICPR, 2018)

Unsupervised Facial Image De-occlusion with Optimized Deep Generative Models. - Lei Xu 036; Honglei Zhang; Jenni Raitoharju; Moncef Gabbouj (IPTA, 2018)

Benchmark database for fine-grained image classification of benthic macroinvertebrates. - Jenni Raitoharju; Ekaterina Riabchenko; Iftikhar Ahmad 001; Alexandros Iosifidis; Moncef Gabbouj; Serkan Kiranyaz; Ville Tirronen; Johanna Ärje; Salme Kärkkäinen; Kristian Meissner (Image Vis. Comput., 2018)

Feature synthesis for image classification and retrieval via one-against-all perceptrons. - Jenni Raitoharju; Serkan Kiranyaz; Moncef Gabbouj (Neural Comput. Appl., 2018)

Reversible Privacy Preservation using Multi-level Encryption and Compressive Sensing. - Mehmet Yamaç; Mete Ahishali; Nikolaos Passalis; Jenni Raitoharju; Bülent Sankur; Moncef Gabbouj (EUSIPCO, 2019)

Adaptive Inference Using Hierarchical Convolutional Bag-of-Features for Low-Power Embedded Platforms. - Nikolaos Passalis; Jenni Raitoharju; Anastasios Tefas; Moncef Gabbouj (ICIP, 2019)

High-Resolution Water Segmentation for Autonomous Unmanned Surface Vehicles: a Novel Dataset and Evaluation. - Jussi Taipalmaa; Nikolaos Passalis; Honglei Zhang; Moncef Gabbouj; Jenni Raitoharju (MLSP, 2019)

Color Constancy Convolutional Autoencoder. - Firas Laakom; Jenni Raitoharju; Alexandros Iosifidis; Jarno Nikkanen; Moncef Gabbouj (SSCI, 2019)

On Confidences and Their Use in (Semi-)Automatic Multi-Image Taxa Identification. - Jenni Raitoharju; Kristian Meissner (SSCI, 2019)

Null Space Analysis for Class-Specific Discriminant Learning. - Jenni Raitoharju; Alexandros Iosifidis (CoRR, 2019)

Architecture Search by Estimation of Network Structure Distributions. - Anton Muravev; Jenni Raitoharju; Moncef Gabbouj (CoRR, 2019)

Facial expression based satisfaction index for empathic buildings. - Fahad Sohrab; Jenni Raitoharju; Moncef Gabbouj (UbiComp/ISWC Adjunct, 2020)

Incremental Fast Subclass Discriminant Analysis. - Kateryna Chumachenko; Jenni Raitoharju; Moncef Gabbouj; Alexandros Iosifidis (ICIP, 2020)

Probabilistic Color Constancy. - Firas Laakom; Jenni Raitoharju; Alexandros Iosifidis; Uygar Tuna; Jarno Nikkanen; Moncef Gabbouj (ICIP, 2020)

Different Color Spaces In Deep Learning-Based Water Segmentation For Autonomous Marine Operations. - Jussi Taipalmaa; Nikolaos Passalis; Jenni Raitoharju (ICIP, 2020)

Not all domains are equally complex: Adaptive Multi-Domain Learning. - Ali Senhaji; Jenni Raitoharju; Moncef Gabbouj; Alexandros Iosifidis (ICPR, 2020)

Efficient Adaptive Inference Leveraging Bag-of-Features-based Early Exits. - Nikolaos Passalis; Jenni Raitoharju; Moncef Gabbouj; Anastasios Tefas (MMSP, 2020)

Boosting Rare Benthic Macroinvertebrates Taxa Identification With One-Class Classification. - Fahad Sohrab; Jenni Raitoharju (SSCI, 2020)

Towards Active Vision with UAVs in Marine Search and Rescue: Analyzing Human Detection at Variable Altitudes. - Li Qingqing 001; Jussi Taipalmaa; Jorge Peña Queralta; Tuan Nguyen Gia; Moncef Gabbouj; Hannu Tenhunen; Jenni Raitoharju; Tomi Westerlund (SSRR, 2020)

Machine Learning Based Analysis of Finnish World War II Photographers. - Kateryna Chumachenko; Anssi Männistö; Alexandros Iosifidis; Jenni Raitoharju (IEEE Access, 2020)

Collaborative Multi-Robot Search and Rescue: Planning, Coordination, Perception, and Active Vision. - Jorge Peña Queralta; Jussi Taipalmaa; Bilge Can Pullinen; Victor Kathan Sarker; Tuan Nguyen Gia; Hannu Tenhunen; Moncef Gabbouj; Jenni Raitoharju; Tomi Westerlund (IEEE Access, 2020)

Ellipsoidal Subspace Support Vector Data Description. - Fahad Sohrab; Jenni Raitoharju; Alexandros Iosifidis; Moncef Gabbouj (IEEE Access, 2020)

Automatic image-based identification and biomass estimation of invertebrates. - Johanna Ärje; Claus Melvad; Mads Rosenhøj Jeppesen; Sigurd Agerskov Madsen; Jenni Raitoharju; Maria Strandgård Rasmussen; Alexandros Iosifidis; Ville Tirronen; Kristian Meissner; Moncef Gabbouj; Toke Thomas Høye (CoRR, 2020)

Saliency-based Weighted Multi-label Linear Discriminant Analysis. - Lei Xu 036; Jenni Raitoharju; Alexandros Iosifidis; Moncef Gabbouj (CoRR, 2020)

AutoSOS: Towards Multi-UAV Systems Supporting Maritime Search and Rescue with Lightweight AI and Edge Computing. - Jorge Peña Queralta; Jenni Raitoharju; Tuan Nguyen Gia; Nikolaos Passalis; Tomi Westerlund (CoRR, 2020)

Collaborative Multi-Robot Systems for Search and Rescue: Coordination and Perception. - Jorge Peña Queralta; Jussi Taipalmaa; Bilge Can Pullinen; Victor Kathan Sarker; Tuan Nguyen Gia; Hannu Tenhunen; Moncef Gabbouj; Jenni Raitoharju; Tomi Westerlund (CoRR, 2020)

Efficient adaptive inference for deep convolutional neural networks using hierarchical early exits. - Nikolaos Passalis; Jenni Raitoharju; Anastasios Tefas; Moncef Gabbouj (Pattern Recognit., 2020)

Human experts vs. machines in taxa recognition. - Johanna Ärje; Jenni Raitoharju; Alexandros Iosifidis; Ville Tirronen; Kristian Meissner; Moncef Gabbouj; Serkan Kiranyaz; Salme Kärkkäinen (Signal Process. Image Commun., 2020)

Bag of Color Features for Color Constancy. - Firas Laakom; Nikolaos Passalis; Jenni Raitoharju; Jarno Nikkanen; Anastasios Tefas; Alexandros Iosifidis; Moncef Gabbouj (IEEE Trans. Image Process., 2020)

Learning to ignore: rethinking attention in CNNs. - Firas Laakom; Kateryna Chumachenko; Jenni Raitoharju; Alexandros Iosifidis; Moncef Gabbouj (BMVC, 2021)

Robust channel-wise illumination estimation. - Firas Laakom; Jenni Raitoharju; Jarno Nikkanen; Alexandros Iosifidis; Moncef Gabbouj (BMVC, 2021)

Ensembling Object Detectors for Image and Video Data Analysis. - Kateryna Chumachenko; Jenni Raitoharju; Alexandros Iosifidis; Moncef Gabbouj (ICASSP, 2021)

Multi-Level Reversible Encryption for ECG Signals Using Compressive Sensing. - Mikko Impiö; Mehmet Yamaç; Jenni Raitoharju (ICASSP, 2021)

Monte Carlo Dropout Ensembles for Robust Illumination Estimation. - Firas Laakom; Jenni Raitoharju; Alexandros Iosifidis; Jarno Nikkanen; Moncef Gabbouj (IJCNN, 2021)

Speech Command Recognition in Computationally Constrained Environments with a Quadratic Self-Organized Operational Layer. - Mohammad Soltanian; Junaid Malik; Jenni Raitoharju; Alexandros Iosifidis; Serkan Kiranyaz; Moncef Gabbouj (IJCNN, 2021)

Automatic Main Character Recognition for Photographic Studies. - Mert Seker; Anssi Männistö; Alexandros Iosifidis; Jenni Raitoharju (MMSP, 2021)

INTEL-TAU: A Color Constancy Dataset. - Firas Laakom; Jenni Raitoharju; Jarno Nikkanen; Alexandros Iosifidis; Moncef Gabbouj (IEEE Access, 2021)

Neural Architecture Search by Estimation of Network Structure Distributions. - Anton Muravev; Jenni Raitoharju; Moncef Gabbouj (IEEE Access, 2021)

Automatic Social Distance Estimation From Images: Performance Evaluation, Test Benchmark, and Algorithm. - Mert Seker; Anssi Männistö; Alexandros Iosifidis; Jenni Raitoharju (CoRR, 2021)

Within-layer Diversity Reduces Generalization Gap. - Firas Laakom; Jenni Raitoharju; Alexandros Iosifidis; Moncef Gabbouj (CoRR, 2021)

Speed-up and multi-view extensions to subclass discriminant analysis. - Kateryna Chumachenko; Jenni Raitoharju; Alexandros Iosifidis; Moncef Gabbouj (Pattern Recognit., 2021)

Multimodal subspace support vector data description. - Fahad Sohrab; Jenni Raitoharju; Alexandros Iosifidis; Moncef Gabbouj (Pattern Recognit., 2021)

Multi-Level Reversible Data Anonymization via Compressive Sensing and Data Hiding. - Mehmet Yamaç; Mete Ahishali; Nikolaos Passalis; Jenni Raitoharju; Bülent Sankur; Moncef Gabbouj (IEEE Trans. Inf. Forensics Secur., 2021)

Generalized Reference Kernel for One-class Classification. - Jenni Raitoharju; Alexandros Iosifidis (IJCNN, 2022)

Efficient CNN with uncorrelated Bag of Features pooling. - Firas Laakom; Jenni Raitoharju; Alexandros Iosifidis; Moncef Gabbouj (SSCI, 2022)

Graph Embedding With Data Uncertainty. - Firas Laakom; Jenni Raitoharju; Nikolaos Passalis; Alexandros Iosifidis; Moncef Gabbouj (IEEE Access, 2022)

Non-Linear Spectral Dimensionality Reduction Under Uncertainty. - Firas Laakom; Jenni Raitoharju; Nikolaos Passalis; Alexandros Iosifidis; Moncef Gabbouj (CoRR, 2022)

Automatic Image Content Extraction: Operationalizing Machine Learning in Humanistic Photographic Studies of Large Visual Archives. - Anssi Männistö; Mert Seker; Alexandros Iosifidis; Jenni Raitoharju (CoRR, 2022)

Habitat classification from satellite observations with sparse annotations. - Mikko Impiö; Pekka Härmä; Anna Tammilehto; Saku Anttila; Jenni Raitoharju (CoRR, 2022)

EmpathicSchool: A multimodal dataset for real-time facial expressions and physiological data analysis under different stress conditions. - Majid Hosseini; Fahad Sohrab; Raju Gottumukkala; Ravi Teja Bhupatiraju; Satya Katragadda; Jenni Raitoharju; Alexandros Iosifidis; Moncef Gabbouj (CoRR, 2022)

Computer Vision on X-ray Data in Industrial Production and Security Applications: A survey. - Mehdi Rafiei; Jenni Raitoharju; Alexandros Iosifidis (CoRR, 2022)

1st Workshop on Maritime Computer Vision (MaCVi) 2023: Challenge Results. - Benjamin Kiefer; Matej Kristan; Janez Pers; Lojze Zust; Fabio Poiesi; Fabio Augusto de Alcantara Andrade; Alexandre Bernardino; Matthew Dawkins; Jenni Raitoharju; Yitong Quan; Adem Atmaca; Timon Höfer; et al. (CoRR, 2022)

Saliency-Based Multilabel Linear Discriminant Analysis. - Lei Xu 036; Jenni Raitoharju; Alexandros Iosifidis; Moncef Gabbouj (IEEE Trans. Cybern., 2022)

WLD-Reg: A Data-Dependent Within-Layer Diversity Regularizer. - Firas Laakom; Jenni Raitoharju; Alexandros Iosifidis; Moncef Gabbouj (AAAI, 2023)

From Textual to Visual Image Searching: User Experience of Advanced Image Search Tool. - Elina Late; Hille Ruotsalainen; Mert Seker; Jenni Raitoharju; Anssi Männistö; Sanna Kumpulainen (TPDL, 2023)

Learning Distinct Features Helps, Provably. - Firas Laakom; Jenni Raitoharju; Alexandros Iosifidis; Moncef Gabbouj (ECML/PKDD (2), 2023)

1st Workshop on Maritime Computer Vision (MaCVi) 2023: Challenge Results. - Benjamin Kiefer; Matej Kristan; Janez Pers; Lojze Zust; Fabio Poiesi; Fabio Augusto de Alcantara Andrade; Alexandre Bernardino; Matthew Dawkins; Jenni Raitoharju; Yitong Quan; Adem Atmaca; Timon Höfer; et al. (WACV (Workshops), 2023)

Computer Vision on X-Ray Data in Industrial Production and Security Applications: A Comprehensive Survey. - Mehdi Rafiei; Jenni Raitoharju; Alexandros Iosifidis (IEEE Access, 2023)

On Feature Diversity in Energy-based Models. - Firas Laakom; Jenni Raitoharju; Alexandros Iosifidis; Moncef Gabbouj (CoRR, 2023)

Convolutional autoencoder-based multimodal one-class classification. - Firas Laakom; Fahad Sohrab; Jenni Raitoharju; Alexandros Iosifidis; Moncef Gabbouj (CoRR, 2023)

Graph-embedded subspace support vector data description. - Fahad Sohrab; Alexandros Iosifidis; Moncef Gabbouj; Jenni Raitoharju (Pattern Recognit., 2023)

Improving Taxonomic Image-based Out-of-distribution Detection With DNA Barcodes. - Mikko Impiö; Jenni Raitoharju (EUSIPCO, 2024)

Linear-Time One-Class Classification with Repeated Element-Wise Folding. - Jenni Raitoharju (EUSIPCO, 2024)

On Automatic Person-in-Water Detection for Marine Search and Rescue Operations. - Jussi Taipalmaa; Jenni Raitoharju; Jorge Peña Queralta; Tomi Westerlund; Moncef Gabbouj (IEEE Access, 2024)

Efficient Curation of Invertebrate Image Datasets Using Feature Embeddings and Automatic Size Comparison. - Mikko Impiö; Philipp M. Rehsen; Jenni Raitoharju (CoRR, 2024)

Reducing redundancy in the bottleneck representation of autoencoders. - Firas Laakom; Jenni Raitoharju; Alexandros Iosifidis; Moncef Gabbouj (Pattern Recognit. Lett., 2024)

AquaMonitor: A multimodal multi-view image sequence dataset for real-life aquatic invertebrate biodiversity monitoring. - Mikko Impiö; Philipp M. Rehsen; Tiina Laamanen; Arne J. Beermann; Florian Leese; Jenni Raitoharju (CoRR, 2025)

Generalized Reference Kernel With Negative Samples For Support Vector One-class Classification. - Jenni Raitoharju (CoRR, 2025)