Tapio Pahikkala

Learning Low Cost Multi-target Models by Enforcing Sparsity (2015)

28th International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems (IEA/AIE)

Naula P, Airola A, Salakoski T, Pahikkala T

(Vertaisarvioitu artikkeli kokoomateoksessa (A3))

Detecting stony areas based on ground surface curvature distribution (2015)

International Conference on Image Processing Theory, Tools and Applications

Paavo Nevalainen, Maarit Middleton, Ilkka Kaate, Tapio Pahikkala, Raimo Sutinen, Jukka Heikkonen

(Vertaisarvioitu artikkeli konferenssijulkaisussa (A4))

New computational methods for efficient utilisation of public data (2015)

Jari Ala-Ilomäki, Juval Cohen, Jyri Heilimo, Eija Hyvönen, Pekka Hänninen, Jaakko Ikonen, Maarit Middleton, Paavo Nevalainen, Tapio Pahikkala, Jonne Pohjankukka, Jouni Pulliainen, Henri Riihimäki, Raimo Sutinen, Sakari Tuominen, Jari Varjo

(Julkaistu kehittämis- tai tutkimusraportti taikka -selvitys (D4))

Parallel Applications and On-chip Traffic Distributions: Observation, Implication and Modelling (2015)

International Conference on Software Engineering and Applications

Thomas Canhao Xu, Jonne Pohjankukka, Paavo Nevalainen, Ville Leppänen, Tapio Pahikkala

(Vertaisarvioitu artikkeli konferenssijulkaisussa (A4))

Diffusion-weighted imaging of prostate cancer: effect of b-value distribution on repeatability and cancer characterization (2015)

Magnetic Resonance Imaging

Merisaari H, Toivonen J, Pesola M, Taimen P, Boström PJ, Pahikkala T, Aronen HJ, Jambor I

(Vertaisarvioitu alkuperäisartikkeli tai data-artikkeli tieteellisessä aikakauslehdessä (A1))

Using Ant Colony System to Consolidate VMs for Green Cloud Computing (2015)

IEEE Transactions on Services Computing

Fahimeh Farahnakian, Adnan Ashraf, Tapio Pahikkala, Pasi Liljeberg, Juha Plosila, Ivan Porres, Hannu Tenhunen

(Vertaisarvioitu alkuperäisartikkeli tai data-artikkeli tieteellisessä aikakauslehdessä (A1))

Fast and simple gradient-based optimization for semi-supervised support vector machines (2014)

Neurocomputing

Gieseke F, Airola A, Pahikkala T, Kramer O

(Vertaisarvioitu alkuperäisartikkeli tai data-artikkeli tieteellisessä aikakauslehdessä (A1))

Enzyme annotation using conditional ranking algorithms (2014)

Annual machine learning conference of Belgium and the Netherlands

Michiel Stock, Bernard De Baets, Willem Waegeman, Thomas Fober, Eyke Hüllermeier, Tapio Pahikkala, Antti Airola

(Vertaisarvioitu artikkeli konferenssijulkaisussa (A4))

A two-step learning approach for solving full and almost full cold start problems in dyadic prediction (2014)

The European Conferences on Machine Learning (ECML) and on Principles and Practice of Knowledge Discovery in Data Bases (PKDD), Lecture Notes in Computer Science

Tapio Pahikkala, Michiel Stock, Antti Airola, Tero Aittokallio, Bernard De Baets, Willem Waegeman

(Vertaisarvioitu artikkeli konferenssijulkaisussa (A4))

On Unsupervised Training of Multi-Class Regularized Least-Squares Classifiers (2014)

Journal of Computer Science and Technology

Tapio Pahikkala, Antti Airola, Fabian Gieseke, Oliver Kramer

(Vertaisarvioitu alkuperäisartikkeli tai data-artikkeli tieteellisessä aikakauslehdessä (A1))

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Learning Low Cost Multi-target Models by Enforcing Sparsity (2015)

Detecting stony areas based on ground surface curvature distribution (2015)

New computational methods for efficient utilisation of public data (2015)

Parallel Applications and On-chip Traffic Distributions: Observation, Implication and Modelling (2015)

Diffusion-weighted imaging of prostate cancer: effect of b-value distribution on repeatability and cancer characterization (2015)

Using Ant Colony System to Consolidate VMs for Green Cloud Computing (2015)

Fast and simple gradient-based optimization for semi-supervised support vector machines (2014)

Enzyme annotation using conditional ranking algorithms (2014)

A two-step learning approach for solving full and almost full cold start problems in dyadic prediction (2014)

On Unsupervised Training of Multi-Class Regularized Least-Squares Classifiers (2014)