1.4k citations
- University of TampereFI115 papers
- Aalto UniversityFI88 papers
- University of HelsinkiFI46 papers
- Tampere University of Applied SciencesFI44 papers
- Centre National de la Recherche ScientifiqueFR42 papers
- Helsinki Institute of PhysicsFI37 papers
- Qatar UniversityQA27 papers
- Aarhus UniversityDK25 papers
- University of JyväskyläFI24 papers
- University of PotsdamDE20 papers
- Charles UniversityCZ18 papers
- Tampere University of TechnologyFI18 papers
826 papers
SENSE: State-aware Emotion Navigation Storytelling Engine
Yi Xia, Pablo Carrasco Velo, Mudit Paliwal +5
This paper presents SENSE, a state-aware framework for generating playable branching visual novels with multi-track emotional navigation. Integrating a state-based narrative archit…
Recognizers for Graph-Encoding Languages
Anssi Yli-Jyrä
We introduce recurrent incidence automata (RIAs), a new automaton model motivated by a decomposition of certain two-stack visibly pushdown computations. The decomposition separates…
Practical flow state detection: Entropy-based EEG classification from portable EEG headbands
Matin Beiramvand, Reijo Koivula, Tarmo Lipping
Flow state, characterized by deep engagement and immersion during challenging activities, represents a valuable mental state with significant implications for learning, performance…
Detecting Interbrain Synchronization in EEG Hyperscanning with MUSE-S EEG headband
Tarmo Lipping, Ahmad Sharif, Matin Beiramvand +1
In this study preliminary results on the classification of EEG hyperscanning data acquired using MUSE-S consumer-level EEG headband are presented. Five pairs of subjects were invol…
An active Lorentz gas: walking droplets in periodic media
Aleksi Majaniemi, Esko Toivonen, Rahil N. Valani +2
The Lorentz gas is a paradigmatic model in dynamical systems theory for understanding the origin of nonequilibrium transport in terms of microscopic deterministic chaos. In the per…
FU-Mamba: A Frequency-Enhanced Dynamic Scanning Framework for Oralscan Image Segmentation
Xinxin Zhao, Jinpeng Ye, Bo Wei +8
Oralscan image segmentation is essential for computer-aided diagnosis and treatment planning in digital dentistry. However, existing visual state space models (SSMs) often rely on…