Kari Torkkola

Publication Activity (10 Years)

Years Active: 1986-2024
Publications (10 Years): 5

Top Topics

Discriminative Methods

Imitation Learning

Inventory Management

Top Venues

Publications

Abdul Fatir Ansari, Lorenzo Stella, Ali Caner Türkmen, Xiyuan Zhang, Pedro Mercado, Huibin Shen, Oleksandr Shchur, Syama Sundar Rangapuram, Sebastian Pineda-Arango, Shubham Kapoor, Jasper Zschiegner, Danielle C. Maddix, Michael W. Mahoney, Kari Torkkola, Andrew Gordon Wilson, Michael Bohlke-Schneider, Yuyang Wang
Chronos: Learning the Language of Time Series. CoRR (2024)
Sohrab Andaz, Carson Eisenach, Dhruv Madeka, Kari Torkkola, Randy Jia, Dean P. Foster, Sham M. Kakade
Learning an Inventory Control Policy with General Inventory Arrival Dynamics. CoRR (2023)
Jens Tuyls, Dhruv Madeka, Kari Torkkola, Dean P. Foster, Karthik Narasimhan, Sham M. Kakade
Scaling Laws for Imitation Learning in NetHack. CoRR (2023)
Dhruv Madeka, Kari Torkkola, Carson Eisenach, Dean P. Foster, Anna Luo
Deep Inventory Management. CoRR (2022)
Ruofeng Wen, Kari Torkkola
Deep Generative Quantile-Copula Models for Probabilistic Forecasting. CoRR (2019)
Eugene Tuv, Alexander Borisov, George C. Runger, Kari Torkkola
Feature Selection with Ensembles, Artificial Variables, and Redundancy Elimination. J. Mach. Learn. Res. 10 (2009)
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)
Harry Zhang, Christopher Schreiner, Keshu Zhang, Kari Torkkola
Naturalistic use of cell phones in driving and context-based user assistance. Mobile HCI (2007)
Keshu Zhang, Haifeng Li, Kari Torkkola, Mike Gardner
Adaptive learning of semantic locations and routes. Autonomics (2007)
Keshu Zhang, Haifeng Li, Kari Torkkola, Mike Gardner
Adaptive Learning of Semantic Locations and Routes. LoCA (2007)
Kenneth E. Hild II, Deniz Erdogmus, Kari Torkkola, José C. Príncipe
Feature Extraction Using Information-Theoretic Learning. IEEE Trans. Pattern Anal. Mach. Intell. 28 (9) (2006)
Eugene Tuv, Alexander Borisov, Kari Torkkola
Best Subset Feature Selection for Massive Mixed-Type Problems. IDEAL (2006)
Kari Torkkola, Mike Gardner, Christopher Schreiner, Keshu Zhang, Bob Leivian, John Summers
Sensor Selection for Driving State Recognition. IJCNN (2006)
Eugene Tuv, Alexander Borisov, Kari Torkkola
Feature Selection Using Ensemble Based Ranking Against Artificial Contrasts. IJCNN (2006)
Kari Torkkola, Christopher Schreiner, Mike Gardner, Keshu Zhang
Development of a Semi-Automatic Data Annotation Tool for Driving Data. ITSC (2006)
Kari Torkkola, Eugene Tuv
Ensemble Learning with Supervised Kernels. ECML (2005)
Kari Torkkola, Srihari Venkatesan, Huan Liu
Sensor Sequence Modeling for Driving. FLAIRS Conference (2005)
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 Intell. Syst. 20 (6) (2005)
Kari Torkkola, Noel Massey, Chip Wood
Detecting driver inattention in the absence of driver monitoring sensors. ICMLA (2004)
Kari Torkkola
Discriminative features for text document classification. Pattern Anal. Appl. 6 (4) (2004)
Kari Torkkola
Feature Extraction by Non-Parametric Mutual Information Maximization. J. Mach. Learn. Res. 3 (2003)
Kari Torkkola, Noel Massey, Bob Leivian, Chip Wood, John Summers, Snehal Kundalkar
Classification of Critical Driving Events. ICMLA (2003)
Huan Liu, Amit Mandvikar, Patricia G. Foschi, Kari Torkkola
Active Learning with Ensembles for Image Classification. IJCAI (2003)
Chung Hee Hwang, Noel Massey, Bradford W. Miller, Kari Torkkola
Hybrid Intelligence for Driver Assistance. FLAIRS Conference (2003)
Kari Torkkola
Discriminative Features for Document Classification. ICPR (1) (2002)
William M. Campbell, Kari Torkkola
Machine Learning for Advising a Driver: A Survey. ICMLA (2002)
Kari Torkkola
Learning Feature Transforms Is an Easier Problem Than Feature Selection. ICPR (2) (2002)
Kari Torkkola
On feature extraction by mutual information maximization. ICASSP (2002)
Kari Torkkola, Robert Mike Gardner, Tamma Kaysser-Kranich, Calvin Ma
Self-organizing maps in mining gene expression data. Inf. Sci. 139 (1-2) (2001)
Kari Torkkola
Learning Discriminative Feature Transforms to Low Dimensions in Low Dimentions. NIPS (2001)
William M. Campbell, Kari Torkkola, Sreeream V. Balakrishnan
Dimension Reduction Techniques for Training Polynomial Networks. ICML (2000)
Kari Torkkola, William M. Campbell
Mutual Information in Learning Feature Transformations. ICML (2000)
Kari Torkkola
Blind Separation of Radio Signals in Fading Channels. NIPS (1997)
Kari Torkkola
Blind deconvolution, information maximization and recursive filters. ICASSP (1997)
Kari Torkkola
Blind separation of delayed sources based on information maximization. ICASSP (1996)
Kari Torkkola
New ways to use LVQ-codebooks together with hidden Markov models. ICASSP (1) (1994)
Jyri Mäntysalo, Kari Torkkola, Teuvo Kohonen
Mapping content dependent acoustic information into context independent form by LVQ. Speech Commun. 14 (2) (1994)
Kari Torkkola
An efficient way to learn English grapheme-to-phoneme rules automatically. ICASSP (2) (1993)
Pekka Utela, Samuel Kaski, Kari Torkkola
Using phoneme group specific LVQ-codebooks with HMMs. ICSLP (1992)
Mikko Kurimo, Kari Torkkola
Application of self-organizing maps and LVQ in training continuous density hidden Markov models for phonemes. ICSLP (1992)
Jari Kangas, Kari Torkkola, Mikko Kokkonen
Using SOMs as feature extractors for speech recognition. ICASSP (1992)
Jyri Mäntysalo, Kari Torkkola, Teuvo Kohonen
LVQ-based speech recognition with high-dimensional context vectors. ICSLP (1992)
Kari Torkkola, Mikko Kokkonen, Mikko Kurimo, Pekka Utela
Improving short-time speech frame recognition results by using context. EUROSPEECH (1991)
Kari Torkkola, Mikko Kokkonen
Using the topology-preserving properties of SOFMs in speech recognition. ICASSP (1991)
Kari Torkkola, Mikko Kokkonen
A comparison of two methods to transcribe speech into phonemes: a rule-based method vs. back-propagation. ICSLP (1990)
Mikko Kokkonen, Kari Torkkola
Using self-organizing maps and multi-layered feed-forward nets to obtain phonemic transcriptions of spoken utterances. Speech Commun. 9 (5-6) (1990)
Kari Torkkola, Kimmo Raivio
Comparison of symbolic and connectionist approaches to eliminate coarticulation effects in phonemic speech recognition. EUROSPEECH (1989)
Mikko Kokkonen, Kari Torkkola
Using self-organizing maps and multi-layered feed-forward nets to obtain phonemic transcriptions of spoken utterances. EUROSPEECH (1989)
Teuvo Kohonen, Kari Torkkola, Makoto Shozakai, Jari Kangas, Olli Ventä
Phonetic typewriter for Finnish and Japanese. ICASSP (1988)
Kari Torkkola
Automatic alignment of speech with phonetic transcriptions in real time. ICASSP (1988)
Kari Torkkola, Teuvo Kohonen
Correction of quasiphoneme strings by the dynamically expanding context. ICPR (1988)
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)
Kari Torkkola, Heikki Riittinen
A microprocessor-based word recognition system for large vocabularies. ICASSP (1986)