Results 21 to 30 of about 109,968,647 (310)
Frontiers in Sports and Active Living, 2021 Spine posture during repetitive lifting is one of the main risk factors for low-back injuries in the occupational sector. It is thus critical to design appropriate intervention strategies for training workers to improve their posture, reducing load on ...
Luca Oppici +7 more
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Model-Based Approach for Automatic Generation of Hardware Architectures for Robotics
IEEE Access, 2021 Increasingly complex robotic platforms incorporate heterogeneous sensors and actuators. They are usually coupled with embedded computers but relying on software solutions not entirely suited for processing large amount of data concurrently and fast ...
Ariel Podlubne +4 more
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Proceedings of the AAAI Conference on Artificial Intelligence, 2018 Building large-scale, globally consistent maps is a challenging problem, made more difficult in environments with limited access, sparse features, or when using data collected by novice users. For such scenarios, where state-of-the-art mapping algorithms produce globally inconsistent maps, we introduce a systematic approach to ...
Samer B. Nashed, Joydeep Biswas
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Human-in-the-Loop Feature Selection
Proceedings of the AAAI Conference on Artificial Intelligence, 2019 Feature selection is a crucial step in the conception of Machine Learning models, which is often performed via datadriven approaches that overlook the possibility of tapping into the human decision-making of the model’s designers and users. We present a human-in-the-loop framework that interacts with domain experts by collecting their feedback ...
Alvaro H. C. Correia, Freddy Lécué
openaire +4 more sources
Frontiers in Human Neuroscience, 2021 The ability to learn sequential contingencies of actions for predicting future outcomes is indispensable for flexible behavior in many daily decision-making contexts.
Iryna Schommartz +6 more
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Dialogue Learning With Human-In-The-Loop
CoRR, 2016 An important aspect of developing conversational agents is to give a bot the ability to improve through communicating with humans and to learn from the mistakes that it makes. Most research has focused on learning from fixed training sets of labeled data rather than interacting with a dialogue partner in an online fashion. In this paper we explore this
Jiwei Li +4 more
openaire +3 more sources
U SMART ZONE – Creating highly realistic virtual environment for vehicle-in-the-loop simulations
Acta Polytechnica CTU Proceedings, 2023 Developing Advanced Driver Assistance Systems (ADAS) and Autonomous Vehicles (AV) based on machine learning is generally an extensive and costly process.
Ondřej Piksa +2 more
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Interpretable Decisions Trees via Human-in-the-Loop-Learning
, 2022 Interactive machine learning (IML) enables models that incorporate human expertise because the human collaborates in the building of the learned model.
Hexel, Rene +2 more
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Loop B is a major structural component of the 5-HT3 receptor [PDF]
, 2008 The 5-HT3 receptor belongs to a family of therapeutically important neurotransmitter-gated receptors whose ligand binding sites are formed by the convergence of six peptide loops (A-F).
Thompson, Andrew J. +9 more
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CONGRES DE LA SAES 2024 NANCY / POETS AND POETRY PANEL / CFP
, 2023 BORDERS AND DISPLACEMENTS “So you drive on to the frontier of writing...” Seamus Heaney, from ‘From the Frontier of Writing’, The Haw Lantern, London: Faber, 1987, p. 6. “Shhhh! Listen, closer...” Jennifer K.
The LOOP team
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