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Automatic classification of hyperkinetic, tonic, and tonic-clonic seizures using unsupervised clustering of video signals
(2023)
articleIntroduction: This study evaluated the accuracy of motion signals extracted from video monitoring data to differentiate epileptic motor seizures in patients with drug-resistant epilepsy. 3D near-infrared video was recorded ... -
Automatic classification of IgA endomysial antibody test for celiac disease: a new method deploying machine learning
(2019)
article<p>Widespread use of endomysial autoantibody (EmA) test in diagnostics of celiac disease is limited due to its subjectivity and its requirement of an expert evaluator. The study aimed to determine whether machine ... -
Automatic Dataset Generation From CAD for Vision-Based Grasping
(2021)
conferenceRecent developments in robotics and deep learning enable the training of models for a wide variety of tasks, from large amounts of collected data. Visual and robotic tasks, such as pose estimation or grasping, are trained ... -
Automatic Dialectal Transcription: An Evaluation on Finnish and Norwegian
Interspeech (2025)
conference -
Automatic Evaluation of Carotid Stenosis Based on Computed Tomography Angiography
Tampere University of Technology. Publication (26.10.2018)
docAtherosclerosis is a systemic disease, affecting individuals of all ages. It is characterized by the deposition of foreign elements in the arterial intima-media layer, leading to a gradual narrowing of the vascular lumen, ... -
Automatic image-based detection and inspection of paper fibres for grasping
(01.08.2015)
article<p>An automatic computer vision algorithm that detects individual paper fibres from an image, assesses the possibility of grasping the detected fibres with microgrippers and detects the suitable grasping points is ... -
Automatic image-based identification and biomass estimation of invertebrates
(2020)
articleUnderstanding how biological communities respond to environmental changes is a key challenge in ecology and ecosystem management. The apparent decline of insect populations necessitates more biomonitoring but the time-consuming ... -
Automatic knee osteoarthritis diagnosis from plain radiographs: A deep learning-based approach
(01.12.2018)
articleKnee osteoarthritis (OA) is the most common musculoskeletal disorder. OA diagnosis is currently conducted by assessing symptoms and evaluating plain radiographs, but this process suffers from subjectivity. In this study, ... -
Automatic Live Music Song Identification Using Multi-level Deep Sequence Similarity Learning
European Signal Processing Conference (2024)
conferenceThis paper studies the novel problem of automatic live music song identification, where the goal is, given a live recording of a song, to retrieve the corresponding studio version of the song from a music database. We ... -
Automatic Loading of Unknown Material with a Wheel Loader Using Reinforcement Learning
IEEE international conference on robotics and automation (2024)
conferenceLoading multiple different materials with wheel loaders is a challenging task because various materials require different loading techniques. It’s, therefore, difficult to find a single controller capable of handling them ... -
An Automatic Method for Assessing Spiking of Tibial Tubercles Associated with Knee Osteoarthritis
(10 / 2022)
articleEfficient and scalable early diagnostic methods for knee osteoarthritis are desired due to the disease’s prevalence. The current automatic methods for detecting osteoarthritis using plain radiographs struggle to identify ... -
Automatic Mobile Video Remixing and Collaborative Watching Systems
Tampere University of Technology. Publication (17.02.2017)
docIn the thesis, the implications of combining collaboration with automation for remix creation are analyzed. We first present a sensor-enhanced Automatic Video Remixing System (AVRS), which intelligently processes mobile ... -
Automatic numerical differentiation by maximum likelihood estimation of a linear Gaussian state space model
(01.06.2019)
conference<p>A linear Gaussian state-space smoothing algorithm is presented for off-line estimation of derivatives from a sequence of noisy measurements. The algorithm uses numerically stable square-root formulas, can handle ... -
Automatic objective thresholding to detect neuronal action potentials
(29.08.2016)
conferenceIn this paper, we introduce a fully objective method to set thresholds (THs) for neuronal action potential spike detection from extracellular field potential signals. Although several more sophisticated methods exist, ... -
Automatic optimization of an in silico model of human iPSC derived cardiomyocytes recapitulating calcium handling abnormalities
(2018)
article<p>The growing importance of human induced pluripotent stem cell-derived cardiomyoyctes (hiPSC-CMs), as patient-specific and disease-specific models for studying cellular cardiac electrophysiology or for preliminary ... -
Automatic Posture and Movement Tracking of Infants with Wearable Movement Sensors
(13.01.2020)
article<p>Infants' spontaneous and voluntary movements mirror developmental integrity of brain networks since they require coordinated activation of multiple sites in the central nervous system. Accordingly, early ... -
Automatic recognition of excavator working cycles using supervised learning and motion data obtained from inertial measurement units (IMUs)
(07 / 2024)
articleThis paper proposes an automatic method for excavator working cycle recognition using supervised classification methods and motion information obtained from four inertial measurement units (IMUs) attached to moving parts ... -
Automatic Robot Path Planning for Visual Inspection from Object Shape
IEEE International Conference on Automation Science and Engineering (2024)
conferenceVisual inspection is a crucial yet time-consuming task across various industries. Numerous established methods employ machine learning in inspection tasks, necessitating specific training data that includes predefined ...
