A microprocessor-based word recognition system for large vocabularies. - Kari Torkkola; Heikki Riittinen (ICASSP, 1986)

Microprocessor implementation of a large vocabulary speech recognizer and phonetic typewriter for Finnish and Japanese. - Teuvo Kohonen; Kari Torkkola; Makoto Shozakai; Jari Kangas 001; Olli Ventä (ECST, 1987)

Phonetic typewriter for Finnish and Japanese. - Teuvo Kohonen; Kari Torkkola; Makoto Shozakai; Jari Kangas 001; Olli Ventä (ICASSP, 1988)

Automatic alignment of speech with phonetic transcriptions in real time. - Kari Torkkola (ICASSP, 1988)

Correction of quasiphoneme strings by the dynamically expanding context. - Kari Torkkola; Teuvo Kohonen (ICPR, 1988)

Comparison of symbolic and connectionist approaches to eliminate coarticulation effects in phonemic speech recognition. - Kari Torkkola; Kimmo Raivio (EUROSPEECH, 1989)

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

Using self-organizing maps and multi-layered feed-forward nets to obtain phonemic transcriptions of spoken utterances. - Mikko Kokkonen; Kari Torkkola (Speech Commun., 1990)

Using the topology-preserving properties of SOFMs in speech recognition. - Kari Torkkola; Mikko Kokkonen (ICASSP, 1991)

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

Using SOMs as feature extractors for speech recognition. - Jari Kangas 001; Kari Torkkola; Mikko Kokkonen (ICASSP, 1992)

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

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

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

An efficient way to learn English grapheme-to-phoneme rules automatically. - Kari Torkkola (ICASSP (2), 1993)

New ways to use LVQ-codebooks together with hidden Markov models. - Kari Torkkola (ICASSP (1), 1994)

Mapping content dependent acoustic information into context independent form by LVQ. - Jyri Mäntysalo; Kari Torkkola; Teuvo Kohonen (Speech Commun., 1994)

Blind separation of delayed sources based on information maximization. - Kari Torkkola (ICASSP, 1996)

Blind deconvolution, information maximization and recursive filters. - Kari Torkkola (ICASSP, 1997)

Blind Separation of Radio Signals in Fading Channels. - Kari Torkkola (NIPS, 1997)

Dimension Reduction Techniques for Training Polynomial Networks. - William M. Campbell; Kari Torkkola; Sreeream V. Balakrishnan (ICML, 2000)

Mutual Information in Learning Feature Transformations. - Kari Torkkola; William M. Campbell (ICML, 2000)

Learning Discriminative Feature Transforms to Low Dimensions in Low Dimentions. - Kari Torkkola (NIPS, 2001)

Self-organizing maps in mining gene expression data. - Kari Torkkola; Robert Mike Gardner; Tamma Kaysser-Kranich; Calvin Ma (Inf. Sci., 2001)

On feature extraction by mutual information maximization. - Kari Torkkola (ICASSP, 2002)

Machine Learning for Advising a Driver: A Survey. - William M. Campbell; Kari Torkkola (ICMLA, 2002)

Discriminative Features for Document Classification. - Kari Torkkola (ICPR (1), 2002)

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

Hybrid Intelligence for Driver Assistance. - Chung Hee Hwang; Noel Massey; Bradford W. Miller; Kari Torkkola (FLAIRS, 2003)

Classification of Critical Driving Events. - Kari Torkkola; Noel Massey; Bob Leivian; Chip Wood; John Summers; Snehal Kundalkar (ICMLA, 2003)

Active Learning with Ensembles for Image Classification. - Huan Liu 001; Amit Mandvikar; Patricia G. Foschi; Kari Torkkola (IJCAI, 2003)

Feature Extraction by Non-Parametric Mutual Information Maximization. - Kari Torkkola (J. Mach. Learn. Res., 2003)

Detecting driver inattention in the absence of driver monitoring sensors. - Kari Torkkola; Noel Massey; Chip Wood (ICMLA, 2004)

Discriminative features for text document classification. - Kari Torkkola (Pattern Anal. Appl., 2004)

Ensemble Learning with Supervised Kernels. - Kari Torkkola; Eugene Tuv (ECML, 2005)

Sensor Sequence Modeling for Driving. - Kari Torkkola; Srihari Venkatesan; Huan Liu (FLAIRS, 2005)

Evolving Feature Selection. - Huan Liu 001; 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 002; Lei Yu 001; et al. (IEEE Intell. Syst., 2005)

Information-Theoretic Methods. - Kari Torkkola (Feature Extraction, 2006)

Ensembles of Regularized Least Squares Classifiers for High-Dimensional Problems. - Kari Torkkola; Eugene Tuv (Feature Extraction, 2006)

Best Subset Feature Selection for Massive Mixed-Type Problems. - Eugene Tuv; Alexander Borisov; Kari Torkkola (IDEAL, 2006)

Sensor Selection for Driving State Recognition. - Kari Torkkola; Mike Gardner; Christopher Schreiner; Keshu Zhang; Bob Leivian; John Summers (IJCNN, 2006)

Feature Selection Using Ensemble Based Ranking Against Artificial Contrasts. - Eugene Tuv; Alexander Borisov; Kari Torkkola (IJCNN, 2006)

Development of a Semi-Automatic Data Annotation Tool for Driving Data. - Kari Torkkola; Christopher Schreiner; Mike Gardner; Keshu Zhang (ITSC, 2006)

Feature Extraction Using Information-Theoretic Learning. - Kenneth E. Hild II; Deniz Erdogmus; Kari Torkkola; José C. Príncipe (IEEE Trans. Pattern Anal. Mach. Intell., 2006)

A Context Aware Automatic Traffic Notification System for Cell Phones. - Keshu Zhang; Kari Torkkola; Haifeng Li 012; Christopher Schreiner; Harry Zhang; Robert Mike Gardner; Zheng Zhao (ICDCS Workshops, 2007)

Adaptive Learning of Semantic Locations and Routes. - Keshu Zhang; Haifeng Li 012; Kari Torkkola; Mike Gardner (LoCA, 2007)

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

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

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

Feature Selection with Ensembles, Artificial Variables, and Redundancy Elimination. - Eugene Tuv; Alexander Borisov; George C. Runger; Kari Torkkola (J. Mach. Learn. Res., 2009)

Deep Generative Quantile-Copula Models for Probabilistic Forecasting. - Ruofeng Wen; Kari Torkkola (CoRR, 2019)

Deep Inventory Management. - Dhruv Madeka; Kari Torkkola; Carson Eisenach; Dean P. Foster; Anna Luo (CoRR, 2022)

Scaling Laws for Imitation Learning in NetHack. - Jens Tuyls; Dhruv Madeka; Kari Torkkola; Dean P. Foster; Karthik Narasimhan; Sham M. Kakade (CoRR, 2023)

Learning an Inventory Control Policy with General Inventory Arrival Dynamics. - Sohrab Andaz; Carson Eisenach; Dhruv Madeka; Kari Torkkola; Randy Jia; Dean P. Foster; Sham M. Kakade (CoRR, 2023)

Chronos: Learning the Language of Time Series. - 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; et al. (CoRR, 2024)

Neural Coordination and Capacity Control for Inventory Management. - Carson Eisenach; Udaya Ghai; Dhruv Madeka; Kari Torkkola; Dean P. Foster; Sham M. Kakade (CoRR, 2024)

Chronos: Learning the Language of Time Series. - 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; et al. (Trans. Mach. Learn. Res., 2024)

Scaling Laws for Imitation Learning in Single-Agent Games. - Jens Tuyls; Dhruv Madeka; Kari Torkkola; Dean P. Foster; Karthik R. Narasimhan; Sham M. Kakade (Trans. Mach. Learn. Res., 2024)

Using Pre-trained LLMs for Multivariate Time Series Forecasting. - Malcolm Wolff; Shenghao Yang 002; Kari Torkkola; Michael W. Mahoney (CoRR, 2025)