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2020 – today
- 2024
[j25]Tuomas Eerola, Daniel Batrakhanov, Nastaran Vatankhah Barazandeh, Kaisa Kraft, Lumi Haraguchi, Lasse Lensu, Sanna Suikkanen, Jukka Seppälä, Timo Tamminen, Heikki Kälviäinen:
Survey of automatic plankton image recognition: challenges, existing solutions and future perspectives. Artif. Intell. Rev. 57(5): 114 (2024)- [j24]Ekaterina A. Nepovinnykh
, Ilja Chelak, Tuomas Eerola, Veikka Immonen, Heikki Kälviäinen, Maksim Kholiavchenko, Charles V. Stewart:
Species-Agnostic Patterned Animal Re-identification by Aggregating Deep Local Features. Int. J. Comput. Vis. 132(9): 4003-4018 (2024) - [j23]Tuomas Eerola, Martin Clayton:
onsetsync: An R Package for Onset Synchrony Analysis. J. Open Source Softw. 9(93): 5395 (2024) - [c51]Ekaterina A. Nepovinnykh, Tuomas Eerola, Heikki Kälviäinen, Ilja Chelak:
NORPPA: NOvel Ringed Seal Re-Identification by Pelage Pattern Aggregation. WACV (Workshops) 2024: 1-10 - [i10]Daniel Batrakhanov, Tuomas Eerola, Kaisa Kraft, Lumi Haraguchi, Lasse Lensu, Sanna Suikkanen, María Teresa Camarena-Gómez, Jukka Seppälä, Heikki Kälviäinen:
DAPlankton: Benchmark Dataset for Multi-instrument Plankton Recognition via Fine-grained Domain Adaptation. CoRR abs/2402.05615 (2024) - [i9]Aleksandr Algasov, Ekaterina A. Nepovinnykh, Tuomas Eerola, Heikki Kälviäinen, Charles V. Stewart, Lasha Otarashvili, Jason A. Holmberg:
Understanding the Impact of Training Set Size on Animal Re-identification. CoRR abs/2405.15976 (2024) - 2023
- [j22]Simon Bilik, Daniel Batrakhanov, Tuomas Eerola, Lumi Haraguchi, Kaisa Kraft, Silke Van den Wyngaert, Jonna Kangas, Conny Sjöqvist, Karin Madsen, Lasse Lensu, Heikki Kälviäinen, Karel Horák:
Toward phytoplankton parasite detection using autoencoders. Mach. Vis. Appl. 34(6): 101 (2023) - [c50]Ekaterina A. Nepovinnykh, Antti Vilkman, Tuomas Eerola, Heikki Kälviäinen:
Re-identification of Saimaa Ringed Seals from Image Sequences. SCIA (1) 2023: 111-125 - [i8]Simon Bilik, Daniel Batrakhanov, Tuomas Eerola, Lumi Haraguchi, Kaisa Kraft, Silke Van den Wyngaert, Jonna Kangas, Conny Sjöqvist, Karin Madsen, Lasse Lensu, Heikki Kälviäinen, Karel Horák:
Towards Phytoplankton Parasite Detection Using Autoencoders. CoRR abs/2303.08744 (2023) - [i7]Tuomas Eerola, Daniel Batrakhanov, Nastaran Vatankhah Barazandeh, Kaisa Kraft, Lumi Haraguchi, Lasse Lensu, Sanna Suikkanen, Jukka Seppälä, Timo Tamminen, Heikki Kälviäinen:
Survey of Automatic Plankton Image Recognition: Challenges, Existing Solutions and Future Perspectives. CoRR abs/2305.11739 (2023) - [i6]Veikka Immonen, Ekaterina A. Nepovinnykh, Tuomas Eerola, Charles V. Stewart, Heikki Kälviäinen:
Combining feature aggregation and geometric similarity for re-identification of patterned animals. CoRR abs/2308.06335 (2023) - 2022
- [j21]Ekaterina A. Nepovinnykh, Tuomas Eerola, Vincent Biard, Piia Mutka, Marja Niemi, Mervi Kunnasranta, Heikki Kälviäinen:
SealID: Saimaa Ringed Seal Re-Identification Dataset. Sensors 22(19): 7602 (2022) - [c49]Ola Badreldeen Bdawy Mohamed, Tuomas Eerola, Kaisa Kraft, Lasse Lensu, Heikki Kälviäinen:
Open-Set Plankton Recognition Using Similarity Learning. ISVC (1) 2022: 174-183 - [i5]Ekaterina A. Nepovinnykh, Tuomas Eerola, Vincent Biard, Piia Mutka, Marja Niemi, Heikki Kälviäinen, Mervi Kunnasranta:
SealID: Saimaa ringed seal re-identification dataset. CoRR abs/2206.02260 (2022) - [i4]Ekaterina A. Nepovinnykh, Ilja Chelak, Tuomas Eerola, Heikki Kälviäinen:
NORPPA: NOvel Ringed seal re-identification by Pelage Pattern Aggregation. CoRR abs/2206.02498 (2022) - 2021
- [j20]Annaliese Micallef Grimaud, Tuomas Eerola:
EmoteControl: an interactive system for real-time control of emotional expression in music. Pers. Ubiquitous Comput. 25(4): 677-689 (2021) - [j19]Juan Sebastián Gómez Cañón, Estefanía Cano, Tuomas Eerola, Perfecto Herrera, Xiao Hu, Yi-Hsuan Yang, Emilia Gómez:
Music Emotion Recognition: Toward new, robust standards in personalized and context-sensitive applications. IEEE Signal Process. Mag. 38(6): 106-114 (2021) - [c48]Daniel Batrakhanov, Fedor Zolotarev, Tuomas Eerola, Lasse Lensu, Heikki Kälviäinen:
Virtual sawing using generative adversarial networks. IVCNZ 2021: 1-6 - [c47]Aakif Nawaz, Toni Kuronen, Tuomas Eerola, Lasse Lensu, Heikki Kälviäinen:
On De-Interlacing and Sub-Pixel Precision Tracking. IVCNZ 2021: 1-6 - [i3]Ilja Chelak, Ekaterina A. Nepovinnykh, Tuomas Eerola, Heikki Kälviäinen, Igor Belykh:
EDEN: Deep Feature Distribution Pooling for Saimaa Ringed Seals Pattern Matching. CoRR abs/2105.13979 (2021) - 2020
- [j18]Fedor Zolotarev, Tuomas Eerola, Lasse Lensu, Heikki Kälviäinen, Tapio Helin, Heikki Haario, Tomi Kauppi, Jere Heikkinen:
Modelling internal knot distribution using external log features. Comput. Electron. Agric. 179: 105795 (2020) - [j17]Sahar F. Zafar, Mariia Murashkina, Tuomas Eerola, Jouni Sampo, Heikki Kälviäinen, Heikki Haario:
Resolving overlapping convex objects in silhouette images by concavity analysis and Gaussian process. J. Vis. Commun. Image Represent. 73: 102962 (2020) - [c46]Jaroslav Bures, Tuomas Eerola, Lasse Lensu, Heikki Kälviäinen, Pavel Zemcík:
Plankton Recognition in Images with Varying Size. ICPR Workshops (6) 2020: 110-120 - [c45]Ekaterina A. Nepovinnykh, Tuomas Eerola, Heikki Kälviäinen:
Siamese Network Based Pelage Pattern Matching for Ringed Seal Re-identification. WACV Workshops 2020: 25-34
2010 – 2019
- 2019
- [c44]Annaliese Micallef Grimaud, Tuomas Eerola, Nick Collins:
EmoteControl: A System for Live-Manipulation of Emotional Cues in Music. Audio Mostly Conference 2019: 111-115 - [c43]Sahar F. Zafar, Tuomas Eerola, Paulo Ferreira, Heikki Kälviäinen, Alan C. Bovik:
Automated Segmentation of Nanoparticles in BF TEM Images by U-Net Binarization and Branch and Bound. CAIP (1) 2019: 113-125 - [c42]Fedor Zolotarev, Tuomas Eerola, Lasse Lensu, Heikki Kälviäinen, Heikki Haario, Jere Heikkinen, Tomi Kauppi:
Timber Tracing with Multimodal Encoder-Decoder Networks. CAIP (2) 2019: 342-353 - [c41]Sahar F. Zafar, Mazen Diab, Tuomas Eerola, Summer E. Hanson, Gregory P. Reece, Gary J. Whitman, Mia K. Markey, Krishnaswamy Ravi-Chandar, Alan C. Bovik, Heikki Kälviäinen:
Automated Segmentation of the Pectoral Muscle in Axial Breast MR Images. ISVC (1) 2019: 345-356 - [c40]Dmitrii Shustrov, Tuomas Eerola, Lasse Lensu, Heikki Kälviäinen, Heikki Haario:
Fine-Grained Wood Species Identification Using Convolutional Neural Networks. SCIA 2019: 67-77 - [i2]Sahar F. Zafar, Mariia Murashkina, Tuomas Eerola, Jouni Sampo, Heikki Kälviäinen, Heikki Haario:
Resolving Overlapping Convex Objects in Silhouette Images by Concavity Analysis and Gaussian Process. CoRR abs/1906.01049 (2019) - 2018
- [j16]Tina Chehrsimin, Tuomas Eerola, Meeri Koivuniemi, Miina Auttila, Riikka Levänen, Marja Niemi, Mervi Kunnasranta, Heikki Kälviäinen:
Automatic individual identification of Saimaa ringed seals. IET Comput. Vis. 12(2): 146-152 (2018) - [j15]Jarmo Ilonen, Roman Juránek, Tuomas Eerola, Lasse Lensu, Markéta Dubská, Pavel Zemcík, Heikki Kälviäinen:
Comparison of bubble detectors and size distribution estimators. Pattern Recognit. Lett. 101: 60-66 (2018) - [c39]Toni Kuronen, Tuomas Eerola, Lasse Lensu, Heikki Kälviäinen:
Two-Camera Synchronization and Trajectory Reconstruction for a Touch Screen Usability Experiment. ACIVS 2018: 125-136 - [c38]Anastasia Popova, Tuomas Eerola, Heikki Kälviäinen:
Comparison of Co-segmentation Methods for Wildlife Photo-identification. ACIVS 2018: 139-149 - [c37]Ekaterina A. Nepovinnykh, Tuomas Eerola, Heikki Kälviäinen, Gleb I. Radchenko:
Identification of Saimaa Ringed Seal Individuals Using Transfer Learning. ACIVS 2018: 211-222 - [c36]Nikolay Rudakov, Tuomas Eerola, Lasse Lensu, Heikki Kälviäinen, Heikki Haario:
Detection of Mechanical Damages in Sawn Timber Using Convolutional Neural Networks. GCPR 2018: 115-126 - [c35]Violetta Shevchenko, Tuomas Eerola, Arto Kaarna:
Fish Detection from Low Visibility Underwater Videos. ICPR 2018: 1971-1976 - 2017
- [j14]Kelly Jakubowski, Tuomas Eerola, Paolo Alborno, Gualtiero Volpe, Antonio Camurri, Martin Clayton:
Extracting Coarse Body Movements from Video in Music Performance: A Comparison of Automated Computer Vision Techniques with Motion Capture Data. Frontiers Digit. Humanit. 4: 9 (2017) - [c34]Vadim Lyubanenko, Toni Kuronen, Tuomas Eerola, Lasse Lensu, Heikki Kälviäinen, Jukka Häkkinen:
Multi-camera Finger Tracking and 3D Trajectory Reconstruction for HCI Studies. ACIVS 2017: 63-74 - [c33]Sahar F. Zafar, Tuomas Eerola, Jouni Sampo, Heikki Kälviäinen, Heikki Haario:
Comparison of Concave Point Detection Methods for Overlapping Convex Objects Segmentation. SCIA (2) 2017: 245-256 - [c32]Joni Herttuainen, Tuomas Eerola, Lasse Lensu, Heikki Kälviäinen:
Simultaneous Camera Calibration and Temporal Alignment of 2D and 3D Trajectories. VISIGRAPP (6: VISAPP) 2017: 445-450 - 2016
- [j13]Nataliya Strokina, Jiri Matas, Tuomas Eerola, Lasse Lensu, Heikki Kälviäinen:
Detection of bubbles as concentric circular arrangements. Mach. Vis. Appl. 27(3): 387-396 (2016) - [j12]Pasi Saari, György Fazekas, Tuomas Eerola, Mathieu Barthet, Olivier Lartillot, Mark B. Sandler:
Genre-Adaptive Semantic Computing and Audio-Based Modelling for Music Mood Annotation. IEEE Trans. Affect. Comput. 7(2): 122-135 (2016) - [c31]Sahar F. Zafar, Tuomas Eerola, Jouni Sampo, Heikki Kälviäinen, Heikki Haario:
Segmentation of Partially Overlapping Convex Objects Using Branch and Bound Algorithm. ACCV Workshops (3) 2016: 76-90 - [c30]Stella Paschalidou, Tuomas Eerola, Martin Clayton:
Voice and movement as predictors of gesture types and physical effort in virtual object interactions of classical Indian singing. MOCO 2016: 45:1-45:2 - 2015
- [j11]Sahar F. Zafar, Tuomas Eerola, Jouni Sampo, Heikki Kälviäinen, Heikki Haario:
Segmentation of Overlapping Elliptical Objects in Silhouette Images. IEEE Trans. Image Process. 24(12): 5942-5952 (2015) - [c29]Sahar F. Zafar, Tuomas Eerola, Jouni Sampo, Heikki Kälviäinen, Heikki Haario:
Segmentation of Partially Overlapping Nanoparticles Using Concave Points. ISVC (1) 2015: 187-197 - [c28]Artem Zhelezniakov, Tuomas Eerola, Meeri Koivuniemi, Miina Auttila, Riikka Levänen, Marja Niemi, Mervi Kunnasranta, Heikki Kälviäinen:
Segmentation of Saimaa Ringed Seals for Identification Purposes. ISVC (2) 2015: 227-236 - [c27]Toni Kuronen, Tuomas Eerola, Lasse Lensu, Jari Takatalo, Jukka Häkkinen, Heikki Kälviäinen:
High-Speed Hand Tracking for Studying Human-Computer Interaction. SCIA 2015: 130-141 - 2014
- [j10]Tuomas Eerola, Lasse Lensu, Heikki Kälviäinen, Alan C. Bovik:
Study of no-reference image quality assessment algorithms on printed images. J. Electronic Imaging 23(6): 061106 (2014) - [j9]Pasi Saari, Tuomas Eerola:
Semantic Computing of Moods Based on Tags in Social Media of Music. IEEE Trans. Knowl. Data Eng. 26(10): 2548-2560 (2014) - [c26]Jarmo Ilonen, Tuomas Eerola, Heikki Mutikainen, Lasse Lensu, Jari Käyhkö, Heikki Kälviäinen:
Estimation of Bubble Size Distribution Based on Power Spectrum. CIARP 2014: 38-45 - [c25]Nataliya Strokina, Roman Juránek, Tuomas Eerola, Lasse Lensu, Pavel Zemcík, Heikki Kälviäinen:
Comparison of Appearance-Based and Geometry-Based Bubble Detectors. ICCVG 2014: 610-617 - [c24]Ville Hiltunen, Tuomas Eerola, Lasse Lensu, Heikki Kälviäinen:
Comparison of General Object Trackers for Hand Tracking in High-Speed Videos. ICPR 2014: 2215-2220 - [c23]Tuomas Eerola:
Modeling Emotions in Music: Advances in Conceptual, Contextual and Validity Issues. Semantic Audio 2014 - 2013
- [j8]Nataliya Strokina, Aki Mankki, Tuomas Eerola, Lasse Lensu, Jari Käyhkö, Heikki Kälviäinen:
Framework for developing image-based dirt particle classifiers for dry pulp sheets. Mach. Vis. Appl. 24(4): 869-881 (2013) - [c22]Pasi Saari, Mathieu Barthet, György Fazekas, Tuomas Eerola, Mark B. Sandler:
Semantic models of musical mood: Comparison between crowd-sourced and curated editorial tags. ICME Workshops 2013: 1-6 - [c21]Pasi Saari, Tuomas Eerola, György Fazekas, Mathieu Barthet, Olivier Lartillot, Mark B. Sandler:
The Role of Audio and Tags in Music Mood Prediction: A Study Using Semantic Layer Projection. ISMIR 2013: 201-206 - [c20]Nataliya Strokina, Tatiana Kurakina, Tuomas Eerola, Lasse Lensu, Heikki Kälviäinen:
Detection of Curvilinear Structures by Tensor Voting Applied to Fiber Characterization. SCIA 2013: 22-33 - [i1]Pasi Saari, Tuomas Eerola:
Semantic Computing of Moods Based on Tags in Social Media of Music. CoRR abs/1308.1817 (2013) - 2012
- [j7]Tuomas Eerola:
Modeling Listeners' Emotional Response to Music. Top. Cogn. Sci. 4(4): 607-624 (2012) - [c19]Nataliya Strokina, Jiri Matas, Tuomas Eerola, Lasse Lensu, Heikki Kälviäinen:
Detection of bubbles as Concentric Circular Arrangements. ICPR 2012: 2655-2659 - 2011
- [j6]Rafael Ferrer, Tuomas Eerola:
Semantic structures of timbre emerging from social and acoustic descriptions of music. EURASIP J. Audio Speech Music. Process. 2011: 11 (2011) - [j5]Kai Tuuri, Tuomas Eerola, Antti Pirhonen:
Design and evaluation of prosody-based non-speech audio feedback for physical training application. Int. J. Hum. Comput. Stud. 69(11): 741-757 (2011) - [j4]Tuomas Eerola, Lasse Lensu, Joni-Kristian Kämäräinen, Tuomas Leisti, Risto Ritala, Göte Nyman, Heikki Kälviäinen:
Bayesian network model of overall print quality: Construction and structural optimisation. Pattern Recognit. Lett. 32(11): 1558-1566 (2011) - [j3]Pasi Saari, Tuomas Eerola, Olivier Lartillot:
Generalizability and Simplicity as Criteria in Feature Selection: Application to Mood Classification in Music. IEEE Trans. Speech Audio Process. 19(6): 1802-1812 (2011) - [c18]Jakob Abeßer, Olivier Lartillot, Christian Dittmar, Tuomas Eerola, Gerald Schuller:
Modeling musical attributes to characterize ensemble recordings using rhythmic audio features. ICASSP 2011: 189-192 - [c17]Rafael Ferrer, Tuomas Eerola:
AMP: Artist-based musical preferences derived from free verbal responses and social tags. ICME 2011: 1-6 - [c16]Rafael Ferrer, Tuomas Eerola:
Looking Beyond Genres: Identifying Meaningful Semantic Layers from Tags in Online Music Collections. ICMLA (2) 2011: 112-117 - [c15]Nataliya Strokina, Aki Mankki, Tuomas Eerola, Lasse Lensu, Jari Käyhkö, Heikki Kälviäinen:
Semisynthetic Ground Truth for Dirt Particle Counting and Classification Methods. MVA 2011: 215-218 - [c14]Lauri Laaksonen, Nataliya Strokina, Tuomas Eerola, Lasse Lensu, Heikki Kälviäinen:
Improving Particle Segmentation from Process Images with Wiener Filtering. SCIA 2011: 285-294 - [c13]Nataliya Strokina, Tuomas Eerola, Lasse Lensu, Heikki Kälviäinen:
Adaptive Classification of Dirt Particles in Papermaking Process. SCIA 2011: 731-741 - 2010
- [c12]Kai Tuuri, Tuomas Eerola, Antti Pirhonen:
Leaping across Modalities: Speed Regulation Messages in Audio and Tactile Domains. HAID 2010: 10-19 - [c11]Rafael Ferrer, Tuomas Eerola:
Timbral Qualities of Semantic Structures of Music. ISMIR 2010: 571-576
2000 – 2009
- 2009
- [j2]Elvira Brattico, Karen Johanne Pallesen, Olga Varyagina, Christopher J. Bailey, Irina Anourova, Miika Järvenpää, Tuomas Eerola, Mari Tervaniemi:
Neural Discrimination of Nonprototypical Chords in Music Experts and Laymen: An MEG Study. J. Cogn. Neurosci. 21(11): 2230-2244 (2009) - [c10]Tuomas Eerola, Olivier Lartillot, Petri Toiviainen:
Prediction of Multidimensional Emotional Ratings in Music from Audio Using Multivariate Regression Models. ISMIR 2009: 621-626 - [c9]Tuomas Eerola, Joni-Kristian Kämäräinen, Lasse Lensu, Heikki Kälviäinen:
Framework for Applying Full Reference Digital Image Quality Measures to Printed Images. SCIA 2009: 99-108 - 2008
- [c8]José Fornari, Tuomas Eerola:
The Pursuit of Happiness in Music: Retrieving Valence with Contextual Music Descriptors. CMMR 2008: 119-133 - [c7]Olivier Lartillot, Tuomas Eerola, Petri Toiviainen, José Fornari:
Multi-Feature Modeling of Pulse Clarity: Design, Validation and Optimization. ISMIR 2008: 521-526 - [c6]Tuomas Eerola, Joni-Kristian Kämäräinen, Tuomas Leisti, Raisa Halonen, Lasse Lensu, Heikki Kälviäinen, Göte Nyman, Pirkko Oittinen:
Is there hope for predicting human visual quality experience? SMC 2008: 725-732 - [c5]Tuomas Eerola, Joni-Kristian Kämäräinen, Tuomas Leisti, Raisa Halonen, Lasse Lensu, Heikki Kälviäinen, Pirkko Oittinen, Göte Nyman:
Finding best measurable quantities for predicting human visual quality experience. SMC 2008: 733-738 - 2007
- [j1]Petri Toiviainen, Jaakko Erkkilä, Tuomas Eerola, Geoff Luck, Olivier Lartillot:
Music cognition research amidst the boreal forest. Cogn. Process. 8(1): 57-62 (2007) - [c4]Olivier Lartillot, Petri Toiviainen, Tuomas Eerola:
A Matlab Toolbox for Music Information Retrieval. GfKl 2007: 261-268 - [c3]Tuomas Eerola, Joni-Kristian Kamarainen, Lasse Lensu, Heikki Kälviäinen:
Visual Print Quality Evaluation Using Computational Features. ISVC (1) 2007: 403-413 - 2005
- [c2]Petri Toiviainen, Tuomas Eerola:
Classification of Musical Metre with Autocorrelation and Discriminant Functions. ISMIR 2005: 351-357 - 2004
- [c1]Tuomas Eerola, Petri Toiviainen:
MIR In Matlab: The MIDI Toolbox. ISMIR 2004
Coauthor Index
[j25] [j24] [c51] [i10] [i9] [j22] [c50] [i8] [i7] [i6] [j21] [c49] [i5] [i4] [c48] [c47] [i3] [j18] [j17] [c46] [c45] [c43] [c42] [c41] [c40] [i2] [j16] [j15] [c39] [c38] [c37] [c36] [c34] [c33] [c32] [j13] [c31] [j11] [c29] [c28] [c27] [j10] [c26] [c25] [c24] [j8] [c20] [c19] [j4] [c15] [c14] [c13] [c9] [c6] [c5] [c3]
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