Computer Science
ITSC 2021: The Second International Workshop on Application of Multi-Sensor Fusion Technology for Autonomous Driving
Read more: A Workshop on 24th IEEE International Conference on Intelligent Transportation (ITSC2021)
Algorithmics and Computational Intelligence Group (ACI)
The research of the laboratory is centered around techniques and methods for algorithm design and computational intelligence, with the emphasis on both theory and applications. The foundations of the research are machine learning, probabilistic inference, discrete mathematics and theoretical computer science. In particular, the research of kernel methods, Bayesian analysis, probabilistic and information-theoretical modeling, combinatorial algorithms and intelligent systems has been pursued. The research of the laboratory is based on the long tradition of combining basic research on algorithm development and analysis with active cooperation with companies and academic partners on solving real-life problems by the use of combinatorial optimization and latest techniques on computational intelligence methods.
Selected research topics on algorithmics and computational intelligence:
- Classification and regression methods
- Clustering methods
- Combinatorial algorithms and applications
- Cross-validation methods
- Data compression
- Feature selection methods for high-dimensional data
- Industrial algorithms
- Information retrieval
- Information theoretic methods
- Multi-task and transfer learning
- Preference learning and ranking
- Probabilistic Bayesian methods
- String algorithms
- Tensor product kernels for pairwise learning
Recent Publications
- Prospective association between the gut microbiome and incident hypertension: a 20-year cohort study
Yeo, Li-Fang; Palmu, Joonatan; Havulinna, Aki S.; Pärnänen, Katariina; Salomaa, Veikko; Lahti, Leo; Knight, Rob; Niiranen, Teemu - Towards Inclusive AI System Development for Disease Risk Prediction: Collecting, Prioritising and Incorporating User Stories from Heterogeneous Stakeholders
Shopland, Nicholas; Burton, Andrew; Brown, David J.; Mahmud, Mufti; Rahman, Muhammad Arifur; Baldwin, David R.; Airola, Antti; Pahikkala, Tapio; Kontio, Elina; Salmi, Jussi; Ferreira, Carlos Alexandre; Pereira, Tânia; Oliveira, Hélder Filipe; Maceda Garcia, Almudena; Chatzichristos, Christos - Unlocking the Genome: The Hidden Algorithms Behind Neural Processes and AI
Lai, Dung; Sheikh-Akbari, Akbar; Skön, Jukka-Pekka; Heikkonen, Jukka; Kanth, Rajeev - Decoding Cultural Music Classification with Machine Learning and Segment Length Analysis
Abebe, Mesfin; Endashew, Leta; Heikkonen, Jukka; Kanth, Rajeev; Mohapatra, Sudhir Kumar - Aperiodic parameters of the fMRI power spectrum associate with preterm birth and neonatal age
Suuronen, Ilkka; Luotonen, Silja; Railo, Henry; Airola, Antti; Bano, Wajiha; Merisaari, Harri; Pulli, Elmo P.; Mariani Wigley, Isabella L. C.; Vartiainen, Elena; Hashempour, Niloofar; Karlsson, Hasse; Karlsson, Linnea; Kringelbach, Morten L.; Batalle, Dafnis; Tuulari, Jetro J. - Extinction and the Deep Time of Death
Kröger, Björn; Raulo, Aura - Can Radiomics Based Models Survive Across MRI Scanners?
Chaudhary, Jatin; Jambor, Ivan; Aronen, Hannu; Ettala, Otto; Saunavaara, Jani; Boström, Peter; Heikkonen, Jukka; Kanth, Rajeev; Merisaari, Harri - Computational Approaches for Logical Biomolecular Complexes Design for Cancer Treatment: A Preliminary Study
Ngoc, Dzung Lai; Luojus, Maria; Heikkonen, Jukka; Kanth, Rajeev - Graph2text or Graph2token: A Perspective of Large Language Modelsfor Graph Learning
Yu, Shuo; Wang, Yingbo; Li, Ruolin; Liu, Guchun; Shen, Yanming; Ji, Shaoxiong; Li, Bowen; Han, Fengling; Zhang, Xiuzhen; Xia, Feng - Image partitioning with windowed and panoramic configuration for passive 360-degree camera in military unmanned ground vehicle: A machine learning-based detection framework
Borzyszkowski, Adrian; Andersson, Christian; Zelioli, Luca; Nevalainen, Paavo; Heikkonen, Jukka
Recent Publications before 2021
- The Role of Music in 21st Century Education-Comparing Programming and Music Composing (2020)
Samuli Laato, Sampsa Rauti, Erkki Sutinen - Leveraging multi-way interactions for systematic prediction of pre-clinical drug combination effects (2020)
Julkunen H., Cichonska A., Gautam P., Szedmak S., Douat J., Pahikkala T., Aittokallio T., Rousu J. - Autonomous Corrosion Assessment of Reinforced Concrete Structures Feasibility Study (2020)
Woubishet Zewdu Taffese, Ethiopia Nigussie - Holistic model for designing a climate service application on the KaiOS platform (2020)
Ville Myllynpää, Jani Haakana, Julius Virtanen, Erkki Sutinen - Deep Learning Based Multi-Modal Fusion Architectures for Maritime Vessel Detection (2020)
Fahimeh Farahnakian, Jukka Heikkonen - GeFeS: A generalized wrapper feature selection approach for optimizing classification performance (2020)
Golnaz Sahebi, Parisa Movahedi, Masoumeh Ebrahimi, Tapio Pahikkala, Juha Plosila, Hannu Tenhunen - Effects of regular use of scalable, technology enhanced solution for primary mathematics education (2020)
Kurvinen Einari - Predictive models as early warning systems for student academic performance in introductory programming (2020)
Veerasamy Ashok Kumar - Comparing CNN-Based Object Detectors on Two Novel Maritime Datasets (2020)
Valentin Soloviev, Fahimeh Farahnakian, Luca Zelioli, Bogdan Iancu, Johan Lilius, Jukka Heikkonen - Assessing the prediction uncertainty in a route optimization model for autonomous maritime logistics (2020)
Alaleh Maskooki, Petra Virjonen, Markku Kallio