MIR In Matlab: The MIDI Toolbox. - Tuomas Eerola; Petri Toiviainen (ISMIR, 2004)

Classification of Musical Metre with Autocorrelation and Discriminant Functions. - Petri Toiviainen; Tuomas Eerola (ISMIR, 2005)

A Matlab Toolbox for Music Information Retrieval. - Olivier Lartillot; Petri Toiviainen; Tuomas Eerola (GfKl, 2007)

Visual Print Quality Evaluation Using Computational Features. - Tuomas Eerola; Joni-Kristian Kamarainen; Lasse Lensu; Heikki Kälviäinen (ISVC (1), 2007)

Music cognition research amidst the boreal forest. - Petri Toiviainen; Jaakko Erkkilä; Tuomas Eerola; Geoff Luck; Olivier Lartillot (Cogn. Process., 2007)

The Pursuit of Happiness in Music: Retrieving Valence with Contextual Music Descriptors. - José Fornari; Tuomas Eerola (CMMR, 2008)

Multi-Feature Modeling of Pulse Clarity: Design, Validation and Optimization. - Olivier Lartillot; Tuomas Eerola; Petri Toiviainen; José Fornari (ISMIR, 2008)

Is there hope for predicting human visual quality experience? - Tuomas Eerola; Joni-Kristian Kämäräinen; Tuomas Leisti; Raisa Halonen; Lasse Lensu; Heikki Kälviäinen; Göte Nyman; Pirkko Oittinen (SMC, 2008)

Finding best measurable quantities for predicting human visual quality experience. - Tuomas Eerola; Joni-Kristian Kämäräinen; Tuomas Leisti; Raisa Halonen; Lasse Lensu; Heikki Kälviäinen; Pirkko Oittinen; Göte Nyman (SMC, 2008)

Prediction of Multidimensional Emotional Ratings in Music from Audio Using Multivariate Regression Models. - Tuomas Eerola; Olivier Lartillot; Petri Toiviainen (ISMIR, 2009)

Framework for Applying Full Reference Digital Image Quality Measures to Printed Images. - Tuomas Eerola; Joni-Kristian Kämäräinen; Lasse Lensu; Heikki Kälviäinen (SCIA, 2009)

Neural Discrimination of Nonprototypical Chords in Music Experts and Laymen: An MEG Study. - Elvira Brattico; Karen Johanne Pallesen; Olga Varyagina; Christopher J. Bailey; Irina Anourova; Miika Järvenpää; Tuomas Eerola; Mari Tervaniemi (J. Cogn. Neurosci., 2009)

Leaping across Modalities: Speed Regulation Messages in Audio and Tactile Domains. - Kai Tuuri; Tuomas Eerola; Antti Pirhonen (HAID, 2010)

Timbral Qualities of Semantic Structures of Music. - Rafael Ferrer; Tuomas Eerola (ISMIR, 2010)

Modeling musical attributes to characterize ensemble recordings using rhythmic audio features. - Jakob Abeßer; Olivier Lartillot; Christian Dittmar; Tuomas Eerola; Gerald Schuller (ICASSP, 2011)

AMP: Artist-based musical preferences derived from free verbal responses and social tags. - Rafael Ferrer; Tuomas Eerola (ICME, 2011)

Looking Beyond Genres: Identifying Meaningful Semantic Layers from Tags in Online Music Collections. - Rafael Ferrer; Tuomas Eerola (ICMLA (2), 2011)

Semisynthetic Ground Truth for Dirt Particle Counting and Classification Methods. - Nataliya Strokina; Aki Mankki; Tuomas Eerola; Lasse Lensu; Jari Käyhkö; Heikki Kälviäinen (MVA, 2011)

Improving Particle Segmentation from Process Images with Wiener Filtering. - Lauri Laaksonen; Nataliya Strokina; Tuomas Eerola; Lasse Lensu; Heikki Kälviäinen (SCIA, 2011)

Adaptive Classification of Dirt Particles in Papermaking Process. - Nataliya Strokina; Tuomas Eerola; Lasse Lensu; Heikki Kälviäinen (SCIA, 2011)

Semantic structures of timbre emerging from social and acoustic descriptions of music. - Rafael Ferrer; Tuomas Eerola (EURASIP J. Audio Speech Music. Process., 2011)

Design and evaluation of prosody-based non-speech audio feedback for physical training application. - Kai Tuuri; Tuomas Eerola; Antti Pirhonen (Int. J. Hum. Comput. Stud., 2011)

Bayesian network model of overall print quality: Construction and structural optimisation. - Tuomas Eerola; Lasse Lensu; Joni-Kristian Kämäräinen; Tuomas Leisti; Risto Ritala; Göte Nyman; Heikki Kälviäinen (Pattern Recognit. Lett., 2011)

Generalizability and Simplicity as Criteria in Feature Selection: Application to Mood Classification in Music. - Pasi Saari; Tuomas Eerola; Olivier Lartillot (IEEE Trans. Speech Audio Process., 2011)

Modeling Listeners' Emotional Response to Music. - Tuomas Eerola (Top. Cogn. Sci., 2012)

Semantic models of musical mood: Comparison between crowd-sourced and curated editorial tags. - Pasi Saari; Mathieu Barthet; György Fazekas; Tuomas Eerola; Mark B. Sandler (ICME Workshops, 2013)

The Role of Audio and Tags in Music Mood Prediction: A Study Using Semantic Layer Projection. - Pasi Saari; Tuomas Eerola; György Fazekas; Mathieu Barthet; Olivier Lartillot; Mark B. Sandler (ISMIR, 2013)

Detection of Curvilinear Structures by Tensor Voting Applied to Fiber Characterization. - Nataliya Strokina; Tatiana Kurakina; Tuomas Eerola; Lasse Lensu; Heikki Kälviäinen (SCIA, 2013)

Framework for developing image-based dirt particle classifiers for dry pulp sheets. - Nataliya Strokina; Aki Mankki; Tuomas Eerola; Lasse Lensu; Jari Käyhkö; Heikki Kälviäinen (Mach. Vis. Appl., 2013)

Estimation of Bubble Size Distribution Based on Power Spectrum. - Jarmo Ilonen; Tuomas Eerola; Heikki Mutikainen; Lasse Lensu; Jari Käyhkö; Heikki Kälviäinen (CIARP, 2014)

Comparison of Appearance-Based and Geometry-Based Bubble Detectors. - Nataliya Strokina; Roman Juránek; Tuomas Eerola; Lasse Lensu; Pavel Zemcík; Heikki Kälviäinen (ICCVG, 2014)

Comparison of General Object Trackers for Hand Tracking in High-Speed Videos. - Ville Hiltunen; Tuomas Eerola; Lasse Lensu; Heikki Kälviäinen (ICPR, 2014)

Modeling Emotions in Music: Advances in Conceptual, Contextual and Validity Issues. - Tuomas Eerola (Semantic Audio, 2014)

Study of no-reference image quality assessment algorithms on printed images. - Tuomas Eerola; Lasse Lensu; Heikki Kälviäinen; Alan C. Bovik (J. Electronic Imaging, 2014)

Semantic Computing of Moods Based on Tags in Social Media of Music. - Pasi Saari; Tuomas Eerola (IEEE Trans. Knowl. Data Eng., 2014)

Segmentation of Partially Overlapping Nanoparticles Using Concave Points. - Sahar F. Zafar; Tuomas Eerola; Jouni Sampo; Heikki Kälviäinen; Heikki Haario (ISVC (1), 2015)

Segmentation of Saimaa Ringed Seals for Identification Purposes. - Artem Zhelezniakov; Tuomas Eerola; Meeri Koivuniemi; Miina Auttila; Riikka Levänen; Marja Niemi; Mervi Kunnasranta; Heikki Kälviäinen (ISVC (2), 2015)

High-Speed Hand Tracking for Studying Human-Computer Interaction. - Toni Kuronen; Tuomas Eerola; Lasse Lensu; Jari Takatalo; Jukka Häkkinen; Heikki Kälviäinen (SCIA, 2015)

Segmentation of Overlapping Elliptical Objects in Silhouette Images. - Sahar F. Zafar; Tuomas Eerola; Jouni Sampo; Heikki Kälviäinen; Heikki Haario (IEEE Trans. Image Process., 2015)

Segmentation of Partially Overlapping Convex Objects Using Branch and Bound Algorithm. - Sahar F. Zafar; Tuomas Eerola; Jouni Sampo; Heikki Kälviäinen; Heikki Haario (ACCV Workshops (3), 2016)

Voice and movement as predictors of gesture types and physical effort in virtual object interactions of classical Indian singing. - Stella Paschalidou; Tuomas Eerola; Martin Clayton (MOCO, 2016)

Detection of bubbles as concentric circular arrangements. - Nataliya Strokina; Jiri Matas; Tuomas Eerola; Lasse Lensu; Heikki Kälviäinen (Mach. Vis. Appl., 2016)

Genre-Adaptive Semantic Computing and Audio-Based Modelling for Music Mood Annotation. - Pasi Saari; György Fazekas; Tuomas Eerola; Mathieu Barthet; Olivier Lartillot; Mark B. Sandler (IEEE Trans. Affect. Comput., 2016)

Multi-camera Finger Tracking and 3D Trajectory Reconstruction for HCI Studies. - Vadim Lyubanenko; Toni Kuronen; Tuomas Eerola; Lasse Lensu; Heikki Kälviäinen; Jukka Häkkinen (ACIVS, 2017)

Comparison of Concave Point Detection Methods for Overlapping Convex Objects Segmentation. - Sahar F. Zafar; Tuomas Eerola; Jouni Sampo; Heikki Kälviäinen; Heikki Haario (SCIA (2), 2017)

Simultaneous Camera Calibration and Temporal Alignment of 2D and 3D Trajectories. - Joni Herttuainen; Tuomas Eerola; Lasse Lensu; Heikki Kälviäinen (VISIGRAPP (6: VISAPP), 2017)

Extracting Coarse Body Movements from Video in Music Performance: A Comparison of Automated Computer Vision Techniques with Motion Capture Data. - Kelly Jakubowski; Tuomas Eerola; Paolo Alborno; Gualtiero Volpe; Antonio Camurri; Martin Clayton (Frontiers Digit. Humanit., 2017)

Two-Camera Synchronization and Trajectory Reconstruction for a Touch Screen Usability Experiment. - Toni Kuronen; Tuomas Eerola; Lasse Lensu; Heikki Kälviäinen (ACIVS, 2018)

Identification of Saimaa Ringed Seal Individuals Using Transfer Learning. - Ekaterina A. Nepovinnykh; Tuomas Eerola; Heikki Kälviäinen; Gleb I. Radchenko (ACIVS, 2018)

Comparison of Co-segmentation Methods for Wildlife Photo-identification. - Anastasia Popova; Tuomas Eerola; Heikki Kälviäinen (ACIVS, 2018)

Detection of Mechanical Damages in Sawn Timber Using Convolutional Neural Networks. - Nikolay Rudakov; Tuomas Eerola; Lasse Lensu; Heikki Kälviäinen; Heikki Haario (GCPR, 2018)

Fish Detection from Low Visibility Underwater Videos. - Violetta Shevchenko; Tuomas Eerola; Arto Kaarna (ICPR, 2018)

Automatic individual identification of Saimaa ringed seals. - Tina Chehrsimin; Tuomas Eerola; Meeri Koivuniemi; Miina Auttila; Riikka Levänen; Marja Niemi; Mervi Kunnasranta; Heikki Kälviäinen (IET Comput. Vis., 2018)

Comparison of bubble detectors and size distribution estimators. - Jarmo Ilonen; Roman Juránek; Tuomas Eerola; Lasse Lensu; Markéta Dubská; Pavel Zemcík; Heikki Kälviäinen (Pattern Recognit. Lett., 2018)

EmoteControl: A System for Live-Manipulation of Emotional Cues in Music. - Annaliese Micallef Grimaud; Tuomas Eerola; Nick Collins (Audio Mostly Conference, 2019)

Automated Segmentation of Nanoparticles in BF TEM Images by U-Net Binarization and Branch and Bound. - Sahar F. Zafar; Tuomas Eerola; Paulo Ferreira; Heikki Kälviäinen; Alan C. Bovik (CAIP (1), 2019)

Timber Tracing with Multimodal Encoder-Decoder Networks. - Fedor Zolotarev; Tuomas Eerola; Lasse Lensu; Heikki Kälviäinen; Heikki Haario; Jere Heikkinen; Tomi Kauppi (CAIP (2), 2019)

Automated Segmentation of the Pectoral Muscle in Axial Breast MR Images. - 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 (ISVC (1), 2019)

Fine-Grained Wood Species Identification Using Convolutional Neural Networks. - Dmitrii Shustrov; Tuomas Eerola; Lasse Lensu; Heikki Kälviäinen; Heikki Haario (SCIA, 2019)

Plankton Recognition in Images with Varying Size. - Jaroslav Bures; Tuomas Eerola; Lasse Lensu; Heikki Kälviäinen; Pavel Zemcík (ICPR Workshops (6), 2020)

Siamese Network Based Pelage Pattern Matching for Ringed Seal Re-identification. - Ekaterina A. Nepovinnykh; Tuomas Eerola; Heikki Kälviäinen (WACV Workshops, 2020)

Modelling internal knot distribution using external log features. - Fedor Zolotarev; Tuomas Eerola; Lasse Lensu; Heikki Kälviäinen; Tapio Helin; Heikki Haario; Tomi Kauppi; Jere Heikkinen (Comput. Electron. Agric., 2020)

Resolving overlapping convex objects in silhouette images by concavity analysis and Gaussian process. - Sahar F. Zafar; Mariia Murashkina; Tuomas Eerola; Jouni Sampo; Heikki Kälviäinen; Heikki Haario (J. Vis. Commun. Image Represent., 2020)

Virtual sawing using generative adversarial networks. - Daniel Batrakhanov; Fedor Zolotarev; Tuomas Eerola; Lasse Lensu; Heikki Kälviäinen (IVCNZ, 2021)

On De-Interlacing and Sub-Pixel Precision Tracking. - Aakif Nawaz; Toni Kuronen; Tuomas Eerola; Lasse Lensu; Heikki Kälviäinen (IVCNZ, 2021)

EDEN: Deep Feature Distribution Pooling for Saimaa Ringed Seals Pattern Matching. - Ilja Chelak; Ekaterina A. Nepovinnykh; Tuomas Eerola; Heikki Kälviäinen; Igor Belykh (CoRR, 2021)

EmoteControl: an interactive system for real-time control of emotional expression in music. - Annaliese Micallef Grimaud; Tuomas Eerola (Pers. Ubiquitous Comput., 2021)

Music Emotion Recognition: Toward new, robust standards in personalized and context-sensitive applications. - Juan Sebastián Gómez Cañón; Estefanía Cano; Tuomas Eerola; Perfecto Herrera; Xiao Hu 001; Yi-Hsuan Yang; Emilia Gómez (IEEE Signal Process. Mag., 2021)

Open-Set Plankton Recognition Using Similarity Learning. - Ola Badreldeen Bdawy Mohamed; Tuomas Eerola; Kaisa Kraft; Lasse Lensu; Heikki Kälviäinen (ISVC (1), 2022)

SealID: Saimaa Ringed Seal Re-Identification Dataset. - Ekaterina A. Nepovinnykh; Tuomas Eerola; Vincent Biard; Piia Mutka; Marja Niemi; Mervi Kunnasranta; Heikki Kälviäinen (Sensors, 2022)

Re-identification of Saimaa Ringed Seals from Image Sequences. - Ekaterina A. Nepovinnykh; Antti Vilkman; Tuomas Eerola; Heikki Kälviäinen (SCIA (1), 2023)

Towards Phytoplankton Parasite Detection Using Autoencoders. - 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 001 (CoRR, 2023)

Combining feature aggregation and geometric similarity for re-identification of patterned animals. - Veikka Immonen; Ekaterina A. Nepovinnykh; Tuomas Eerola; Charles V. Stewart; Heikki Kälviäinen (CoRR, 2023)

Toward phytoplankton parasite detection using autoencoders. - 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 001 (Mach. Vis. Appl., 2023)

Towards Synthetic Generation of Realistic Wooden Logs. - Fedor Zolotarev; Borek Reich; Tuomas Eerola; Tomi Kauppi; Pavel Zemcík (GCPR (2), 2024)

Open-Set Plankton Recognition. - Joona Kareinen; Annaliina Skyttä; Tuomas Eerola; Kaisa Kraft; Lasse Lensu; Sanna Suikkanen; Maiju Lehtiniemi; Heikki Kälviäinen (ECCV Workshops (18), 2024)

Deep Unsupervised Segmentation of Log Point Clouds. - Fedor Zolotarev; Tuomas Eerola; Tomi Kauppi (ECCV Workshops (4), 2024)

DAPlankton: Benchmark Dataset For Multi-Instrument Plankton Recognition Via Fine-Grained Domain Adaptation. - Daniel Batrakhanov; Tuomas Eerola; Kaisa Kraft; Lumi Haraguchi; Lasse Lensu; Sanna Suikkanen; María Teresa Camarena-Gómez; Jukka Seppälä; Heikki Kälviäinen (ICIP, 2024)

NORPPA: NOvel Ringed Seal Re-Identification by Pelage Pattern Aggregation. - Ekaterina A. Nepovinnykh; Tuomas Eerola; Heikki Kälviäinen; Ilja Chelak (WACV (Workshops), 2024)

Understanding the Impact of Training Set Size on Animal Re-identification. - Aleksandr Algasov; Ekaterina A. Nepovinnykh; Tuomas Eerola; Heikki Kälviäinen; Charles V. Stewart; Lasha Otarashvili; Jason A. Holmberg (CoRR, 2024)

onsetsync: An R Package for Onset Synchrony Analysis. - Tuomas Eerola; Martin Clayton (J. Open Source Softw., 2024)

Survey of automatic plankton image recognition: challenges, existing solutions and future perspectives. - Tuomas Eerola; Daniel Batrakhanov; Nastaran Vatankhah Barazandeh; Kaisa Kraft; Lumi Haraguchi; Lasse Lensu; Sanna Suikkanen; Jukka Seppälä; Timo Tamminen; Heikki Kälviäinen (Artif. Intell. Rev., 2024)

Species-Agnostic Patterned Animal Re-identification by Aggregating Deep Local Features. - Ekaterina A. Nepovinnykh; Ilja Chelak; Tuomas Eerola; Veikka Immonen; Heikki Kälviäinen; Maksim Kholiavchenko; Charles V. Stewart (Int. J. Comput. Vis., 2024)

Self-Supervised Pretraining for Fine-Grained Plankton Recognition. - Joona Kareinen; Tuomas Eerola; Kaisa Kraft; Lasse Lensu; Sanna Suikkanen; Heikki Kälviäinen (CVPR Workshops, 2025)

Re-identification of patterned animals by multi-image feature aggregation and geometric similarity. - Ekaterina A. Nepovinnykh; Veikka Immonen; Tuomas Eerola; Charles V. Stewart; Heikki Kälviäinen (IET Comput. Vis., 2025)

Mineral segmentation using electron microscope images and spectral sampling through multimodal graph neural networks. - Samuel Repka; Borek Reich; Fedor Zolotarev; Tuomas Eerola; Pavel Zemcík (Pattern Recognit. Lett., 2025)

Multimodal surface defect detection from wooden logs for sawing optimization. - Borek Reich; Matej Kunda; Fedor Zolotarev; Tuomas Eerola; Pavel Zemcík; Tomi Kauppi (CoRR, 2025)

Unsupervised Pelage Pattern Unwrapping for Animal Re-identification. - Aleksandr Algasov; Ekaterina A. Nepovinnykh; Fedor Zolotarev; Tuomas Eerola; Heikki Kälviäinen; Pavel Zemcík; Charles V. Stewart (CoRR, 2025)