Kari Torkkola

Eugene Tuv, Alexander Borisov, George C. Runger, Kari Torkkola: Feature Selection with Ensembles, Artificial Variables, and Redundancy Elimination. Journal of Machine Learning Research 10: 1341-1366 (2009)

Kari Torkkola, Mike Gardner, Christopher Schreiner, Keshu Zhang, Bob Leivian, Harry Zhang, John Summers: Understanding Driving Activity Using Ensemble Methods. Computational Intelligence in Automotive Applications 2008: 39-58

Kari Torkkola, Eugene Tuv: Ensembles of Least Squares Classifiers with Randomized Kernels. Data Mining: Foundations and Practice 2008: 375-386

Keshu Zhang, Haifeng Li, Kari Torkkola, Mike Gardner: Adaptive learning of semantic locations and routes. Autonomics 2007: 3

Keshu Zhang, Kari Torkkola, Haifeng Li, Christopher Schreiner, Harry Zhang, Robert Mike Gardner, Zheng Zhao: A Context Aware Automatic Traffic Notification System for Cell Phones. ICDCS Workshops 2007: 48

Keshu Zhang, Haifeng Li, Kari Torkkola, Mike Gardner: Adaptive Learning of Semantic Locations and Routes. LoCA 2007: 193-210

Harry Zhang, Christopher Schreiner, Keshu Zhang, Kari Torkkola: Naturalistic use of cell phones in driving and context-based user assistance. Mobile HCI 2007: 273-276

Kenneth E. Hild II, Deniz Erdogmus, Kari Torkkola, Jose C. Principe: Feature Extraction Using Information-Theoretic Learning. IEEE Trans. Pattern Anal. Mach. Intell. 28(9): 1385-1392 (2006)

Eugene Tuv, Alexander Borisov, Kari Torkkola: Best Subset Feature Selection for Massive Mixed-Type Problems. IDEAL 2006: 1048-1056

Eugene Tuv, Alexander Borisov, Kari Torkkola: Feature Selection Using Ensemble Based Ranking Against Artificial Contrasts. IJCNN 2006: 2181-2186

Kari Torkkola, Mike Gardner, Christopher Schreiner, Keshu Zhang, Bob Leivian, John Summers: Sensor Selection for Driving State Recognition. IJCNN 2006: 4734-4739

Huan Liu, Edward R. Dougherty, Jennifer G. Dy, Kari Torkkola, Eugene Tuv, Hanchuan Peng, Chris H. Q. Ding, Fuhui Long, Michael E. Berens, Lance Parsons, Zheng Zhao, Lei Yu, George Forman: Evolving Feature Selection. IEEE Intelligent Systems 20(6): 64-76 (2005)

Kari Torkkola, Eugene Tuv: Ensemble Learning with Supervised Kernels. ECML 2005: 400-411

Kari Torkkola, Srihari Venkatesan, Huan Liu: Sensor Sequence Modeling for Driving. FLAIRS Conference 2005: 721-727

Kari Torkkola: Discriminative features for text document classification. Pattern Anal. Appl. 6(4): 301-308 (2004)

Kari Torkkola, Noel Massey, Chip Wood: Detecting driver inattention in the absence of driver monitoring sensors. ICMLA 2004: 220-226

Kari Torkkola: Feature Extraction by Non-Parametric Mutual Information Maximization. Journal of Machine Learning Research 3: 1415-1438 (2003)

Chung Hee Hwang, Noel Massey, Bradford W. Miller, Kari Torkkola: Hybrid Intelligence for Driver Assistance. FLAIRS Conference 2003: 281-285

Kari Torkkola, Noel Massey, Bob Leivian, Chip Wood, John Summers, Snehal Kundalkar: Classification of Critical Driving Events. ICMLA 2003: 81-85

Huan Liu, Amit Mandvikar, Patricia G. Foschi, Kari Torkkola: Active Learning with Ensembles for Image Classification. IJCAI 2003: 1435-1436

Kari Torkkola: On feature extraction by mutual information maximization. ICASSP 2002: 821-824

William M. Campbell, Kari Torkkola: Machine Learning for Advising a Driver: A Survey. ICMLA 2002: 219-225

Kari Torkkola: Learning Feature Transforms Is an Easier Problem Than Feature Selection. ICPR (2) 2002: 104-107

Kari Torkkola: Discriminative Features for Document Classification. ICPR (1) 2002: 472-475

Kari Torkkola, Robert Mike Gardner, Tamma Kaysser-Kranich, Calvin Ma: Self-organizing maps in mining gene expression data. Inf. Sci. 139(1-2): 79-96 (2001)

Kari Torkkola: Learning Discriminative Feature Transforms to Low Dimensions in Low Dimentions. NIPS 2001: 969-976

William M. Campbell, Kari Torkkola, Sreeream V. Balakrishnan: Dimension Reduction Techniques for Training Polynomial Networks. ICML 2000: 119-126

Kari Torkkola, William M. Campbell: Mutual Information in Learning Feature Transformations. ICML 2000: 1015-1022

Kari Torkkola: Blind Separation of Radio Signals in Fading Channels. NIPS 1997

Jyri Mäntysalo, Kari Torkkola, Teuvo Kohonen: Mapping content dependent acoustic information into context independent form by LVQ. Speech Communication 14(2): 119-130 (1994)

Mikko Kurimo, Kari Torkkola: Application of self-organizing maps and LVQ in training continuous density hidden Markov models for phonemes. ICSLP 1992

Jyri Mäntysalo, Kari Torkkola, Teuvo Kohonen: LVQ-based speech recognition with high-dimensional context vectors. ICSLP 1992

Pekka Utela, Samuel Kaski, Kari Torkkola: Using phoneme group specific LVQ-codebooks with HMMs. ICSLP 1992

Kari Torkkola, Mikko Kokkonen, Mikko Kurimo, Pekka Utela: Improving short-time speech frame recognition results by using context. EUROSPEECH 1991

Mikko Kokkonen, Kari Torkkola: Using self-organizing maps and multi-layered feed-forward nets to obtain phonemic transcriptions of spoken utterances. Speech Communication 9(5-6): 541-549 (1990)

Kari Torkkola, Mikko Kokkonen: A comparison of two methods to transcribe speech into phonemes: a rule-based method vs. back-propagation. ICSLP 1990

Kari Torkkola, Kimmo Raivio: Comparison of symbolic and connectionist approaches to eliminate coarticulation effects in phonemic speech recognition. EUROSPEECH 1989: 1009-1012

Mikko Kokkonen, Kari Torkkola: Using self-organizing maps and multi-layered feed-forward nets to obtain phonemic transcriptions of spoken utterances. EUROSPEECH 1989: 2561-2564

Teuvo Kohonen, Kari Torkkola, Makoto Shozakai, Jari Kangas, Olli Ventä: Microprocessor implementation of a large vocabulary speech recognizer and phonetic typewriter for Finnish and Japanese. ECST 1987: 2377-2380