Orthogonal type extensions and reductions. - Jukka Paakki; Anssi Karhinen; Tomi Silander (ACM SIGPLAN Notices, 1990)

Comparing Predictive Inference Methods for Discrete Domains. - Petri Kontkanen; Petri Myllymäki; Tomi Silander; Henry Tirri; Peter Grünwald (AISTATS, 1997)

Bayes Optimal Instance-Based Learning. - Petri Kontkanen; Petri Myllymäki; Tomi Silander; Henry Tirri (ECML, 1998)

Batch Classification with Discrete Finite Mixtures. - Petri Kontkanen; Petri Myllymäki; Tomi Silander; Henry Tirri (ECML, 1998)

Bayesian and Information-Theories Priors for Bayesian Network Parameters. - Petri Kontkanen; Petri Myllymäki; Tomi Silander; Henry Tirri; Peter Grünwald (ECML, 1998)

On Bayesian Case Matching. - Petri Kontkanen; Petri Myllymäki; Tomi Silander; Henry Tirri (EWCBR, 1998)

BAYDA: Software for Bayesian Classification and Feature Selection. - Petri Kontkanen; Petri Myllymäki; Tomi Silander; Henry Tirri (KDD, 1998)

Minimum Encoding Approaches for Predictive Modeling. - Peter Grünwald; Petri Kontkanen; Petri Myllymäki; Tomi Silander; Henry Tirri (UAI, 1998)

Exploring the robustness of Bayesian and information-theoretic methods for predictive inference. - Petri Kontkanen; Petri Myllymäki; Tomi Silander; Henry Tirri (AISTATS, 1999)

On Supervised Selection of Bayesian Networks. - Petri Kontkanen; Petri Myllymäki; Tomi Silander; Henry Tirri (UAI, 1999)

Supervised model-based visualization of high-dimensional data. - Petri Kontkanen; Jussi Lahtinen; Petri Myllymäki; Tomi Silander; Henry Tirri (Intell. Data Anal., 2000)

On predictive distributions and Bayesian networks. - Petri Kontkanen; Petri Myllymäki; Tomi Silander; Henry Tirri; Peter Grünwald (Stat. Comput., 2000)

Bayesian Data Mining on the Web with B-Course. - Petri Myllymäki; Tomi Silander; Henry Tirri; Pekka Uronen (ICDM, 2001)

B-Course: A Web Service for Bayesian Data Analysis. - Petri Myllymäki; Tomi Silander; Henry Tirri; Pekka Uronen (ICTAI, 2001)

B-Course: A Web-Based Tool for Bayesian and Causal Data Analysis. - Petri Myllymäki; Tomi Silander; Henry Tirri; Pekka Uronen (Int. J. Artif. Intell. Tools, 2002)

A Scalable Topic-Based Open Source Search Engine. - Wray L. Buntine; Jaakko Löfström; Jukka Perkiö; Sami Perttu; Vladimir Poroshin; Tomi Silander; Henry Tirri; Antti J. Tuominen; Ville H. Tuulos (Web Intelligence, 2004)

A Simple Approach for Finding the Globally Optimal Bayesian Network Structure. - Tomi Silander; Petri Myllymäki (UAI, 2006)

Analysis of HIV-1 pol sequences using Bayesian Networks: implications for drug resistance. - Koen Deforche; Tomi Silander; Ricardo Camacho; Zehava Grossman; M. A. Soares; Kristel Van Laethem; Rami Kantor; Yves Moreau; Anne-Mieke Vandamme (Bioinform., 2006)

Learning probabilistic decision graphs. - Manfred Jaeger; Jens Dalgaard Nielsen; Tomi Silander (Int. J. Approx. Reason., 2006)

On Sensitivity of the MAP Bayesian Network Structure to the Equivalent Sample Size Parameter. - Tomi Silander; Petri Kontkanen; Petri Myllymäki (UAI, 2007)

A Bayesian approach to learning in fault isolation. - Hannes Wettig; Anna Pernestål; Tomi Silander; Mattias Nyberg (BMA, 2008)

Locally Minimax Optimal Predictive Modeling with Bayesian Networks. - Tomi Silander; Teemu Roos; Petri Myllymäki (AISTATS, 2009)

Learning locally minimax optimal Bayesian networks. - Tomi Silander; Teemu Roos; Petri Myllymäki (Int. J. Approx. Reason., 2010)

An automated pathological class level annotation system for volumetric brain images. - Thien Anh Dinh; Tomi Silander; C. C. Tchoyoson Lim; Tze-Yun Leong (AMIA, 2012)

Transferring Expectations in Model-based Reinforcement Learning. - Trung Thanh Nguyen 005; Tomi Silander; Tze-Yun Leong (NIPS, 2012)

Do risk-averse people lie less? A comparison of risk-taking behavior in deceptive and non-deceptive scenarios. - Tei Laine; Kayo Sakamoto; Tomi Silander (CogSci, 2013)

A Dynamic Programming Algorithm for Learning Chain Event Graphs. - Tomi Silander; Tze-Yun Leong (Discovery Science, 2013)

Online Feature Selection for Model-based Reinforcement Learning. - Trung Thanh Nguyen 005; Zhuoru Li; Tomi Silander; Tze-Yun Leong (ICML (1), 2013)

Unsupervised Medical Image Classification by Combining Case-Based Classifiers. - Thien Anh Dinh; Tomi Silander; Bolan Su; Tianxia Gong; Boon Chuan Pang; C. C. Tchoyoson Lim; Cheng Kiang Lee; Chew Lim Tan; Tze-Yun Leong (MedInfo, 2013)

Bootstrapping Simulation-Based Algorithms with a Suboptimal Policy. - Truong-Huy Dinh Nguyen; Tomi Silander; Wee Sun Lee; Tze-Yun Leong (ICAPS, 2014)

Automated Prediction of Glasgow Outcome Scale for Traumatic Brain Injury. - Bolan Su; Thien Anh Dinh; Abhinit Kumar Ambastha; Tianxia Gong; Tomi Silander; Shijian Lu; C. C. Tchoyoson Lim; Boon Chuan Pang; Cheng Kiang Lee; Tze-Yun Leong; Chew Lim Tan (ICPR, 2014)

When are Kalman-Filter Restless Bandits Indexable? - Christopher R. Dance; Tomi Silander (NIPS, 2015)

Hyperparameter sensitivity revisited. - Tomi Silander (AMBN, 2017)

Scalable transfer learning in heterogeneous, dynamic environments. - Trung Thanh Nguyen 005; Tomi Silander; Zhuoru Li; Tze-Yun Leong (Artif. Intell., 2017)

Non-Markovian Control with Gated End-to-End Memory Policy Networks. - Julien Perez; Tomi Silander (CoRR, 2017)

Quotient Normalized Maximum Likelihood Criterion for Learning Bayesian Network Structures. - Tomi Silander; Janne Leppä-aho; Elias Jääsaari; Teemu Roos (AISTATS, 2018)

Minimax Optimal Bayes Mixtures for Memoryless Sources over Large Alphabets. - Elias Jääsaari; Janne Leppä-aho; Tomi Silander; Teemu Roos (ALT, 2018)

Optimal Policies for Observing Time Series and Related Restless Bandit Problems. - Christopher R. Dance; Tomi Silander (J. Mach. Learn. Res., 2019)

Learning Synthetic to Real Transfer for Localization and Navigational Tasks. - Maxime Pietrantoni; Boris Chidlovskii; Tomi Silander (CoRR, 2020)

DiPCAN: Distilling Privileged Information for Crowd-Aware Navigation. - Gianluca Monaci; Michel Aractingi; Tomi Silander (Robotics: Science and Systems, 2022)

A Hierarchical Scheme for Adapting Learned Quadruped Locomotion. - Michel Aractingi; Pierre-Alexandre Léziart; Thomas Flayols; Julien Perez; Tomi Silander; Philippe Souères (Humanoids, 2023)

Controlling the Solo12 Quadruped Robot with Deep Reinforcement Learning. - Michel Aractingi; Pierre-Alexandre Léziart; Thomas Flayols; Julien Perez; Tomi Silander; Philippe Souères (CoRR, 2023)

Multi-Agent Path Finding with Real Robot Dynamics and Interdependent Tasks for Automated Warehouses. - Vassilissa Lehoux-Lebacque; Tomi Silander; Christelle Loiodice; Seungjoon Lee; Albert Wang; Sofia Michel (ECAI, 2024)