Kari Torkkola - RankMe

62 papers A* 3B 3C 4Misc 10Journal 18Unranked 20

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Efficiently Generating Correlated Sample Paths from Multi-step Time Series Foundation Models. CoRR Ethan Baron, Boris N. Oreshkin, Ruijun Ma, Hanyu Zhang, Kari Torkkola, Michael W. Mahoney, Andrew Gordon Wilson, Tatiana Konstantinova
2025	J	`jnl`	Using Pre-trained LLMs for Multivariate Time Series Forecasting. CoRR Malcolm Wolff, Shenghao Yang, Kari Torkkola, Michael W. Mahoney
2024	J	`jnl`	Chronos: Learning the Language of Time Series. CoRR 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
2024	J	`jnl`	Chronos: Learning the Language of Time Series. Trans. Mach. Learn. Res. 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, Hao Wang, Michael W. Mahoney, Kari Torkkola, Andrew Gordon Wilson, Michael Bohlke-Schneider, Bernie Wang
2024	J	`jnl`	Neural Coordination and Capacity Control for Inventory Management. CoRR Carson Eisenach, Udaya Ghai, Dhruv Madeka, Kari Torkkola, Dean P. Foster, Sham M. Kakade
2024	J	`jnl`	Scaling Laws for Imitation Learning in Single-Agent Games. Trans. Mach. Learn. Res. Jens Tuyls, Dhruv Madeka, Kari Torkkola, Dean P. Foster, Karthik R. Narasimhan, Sham M. Kakade
2023	J	`jnl`	Learning an Inventory Control Policy with General Inventory Arrival Dynamics. CoRR Sohrab Andaz, Carson Eisenach, Dhruv Madeka, Kari Torkkola, Randy Jia, Dean P. Foster, Sham M. Kakade
2023	J	`jnl`	Scaling Laws for Imitation Learning in NetHack. CoRR Jens Tuyls, Dhruv Madeka, Kari Torkkola, Dean P. Foster, Karthik Narasimhan, Sham M. Kakade
2022	J	`jnl`	Deep Inventory Management. CoRR Dhruv Madeka, Kari Torkkola, Carson Eisenach, Dean P. Foster, Anna Luo
2019	J	`jnl`	Deep Generative Quantile-Copula Models for Probabilistic Forecasting. CoRR Ruofeng Wen, Kari Torkkola
2009	J	`jnl`	Feature Selection with Ensembles, Artificial Variables, and Redundancy Elimination. J. Mach. Learn. Res. Eugene Tuv, Alexander Borisov, George C. Runger, Kari Torkkola
2008	—	`ch.`	Ensembles of Least Squares Classifiers with Randomized Kernels. Data Mining: Foundations and Practice Kari Torkkola, Eugene Tuv
2008	—	`ch.`	Understanding Driving Activity Using Ensemble Methods. Computational Intelligence in Automotive Applications Kari Torkkola, Mike Gardner, Christopher Schreiner, Keshu Zhang, Bob Leivian, Harry Zhang, John Summers
2007	—	`conf`	A Context Aware Automatic Traffic Notification System for Cell Phones. ICDCS Workshops Keshu Zhang, Kari Torkkola, Haifeng Li, Christopher Schreiner, Harry Zhang, Robert Mike Gardner, Zheng Zhao
2007	—	`conf`	Adaptive Learning of Semantic Locations and Routes. LoCA Keshu Zhang, Haifeng Li, Kari Torkkola, Mike Gardner
2007	—	`conf`	Adaptive learning of semantic locations and routes. Autonomics Keshu Zhang, Haifeng Li, Kari Torkkola, Mike Gardner
2007	—	`conf`	Naturalistic use of cell phones in driving and context-based user assistance. Mobile HCI Harry Zhang, Christopher Schreiner, Keshu Zhang, Kari Torkkola
2006	C	`conf`	Best Subset Feature Selection for Massive Mixed-Type Problems. IDEAL Eugene Tuv, Alexander Borisov, Kari Torkkola
2006	—	`conf`	Development of a Semi-Automatic Data Annotation Tool for Driving Data. ITSC Kari Torkkola, Christopher Schreiner, Mike Gardner, Keshu Zhang
2006	—	`ch.`	Ensembles of Regularized Least Squares Classifiers for High-Dimensional Problems. Feature Extraction Kari Torkkola, Eugene Tuv
2006	J	`jnl`	Feature Extraction Using Information-Theoretic Learning. IEEE Trans. Pattern Anal. Mach. Intell. Kenneth E. Hild II, Deniz Erdogmus, Kari Torkkola, José C. Príncipe
2006	B	`conf`	Feature Selection Using Ensemble Based Ranking Against Artificial Contrasts. IJCNN Eugene Tuv, Alexander Borisov, Kari Torkkola
2006	—	`ch.`	Information-Theoretic Methods. Feature Extraction Kari Torkkola
2006	B	`conf`	Sensor Selection for Driving State Recognition. IJCNN Kari Torkkola, Mike Gardner, Christopher Schreiner, Keshu Zhang, Bob Leivian, John Summers
2005	—	`conf`	Ensemble Learning with Supervised Kernels. ECML Kari Torkkola, Eugene Tuv
2005	J	`jnl`	Evolving Feature Selection. IEEE Intell. Syst. 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
2005	Misc	`conf`	Sensor Sequence Modeling for Driving. FLAIRS Kari Torkkola, Srihari Venkatesan, Huan Liu
2004	C	`conf`	Detecting driver inattention in the absence of driver monitoring sensors. ICMLA Kari Torkkola, Noel Massey, Chip Wood
2004	J	`jnl`	Discriminative features for text document classification. Pattern Anal. Appl. Kari Torkkola
2003	A*	`conf`	Active Learning with Ensembles for Image Classification. IJCAI Huan Liu, Amit Mandvikar, Patricia G. Foschi, Kari Torkkola
2003	C	`conf`	Classification of Critical Driving Events. ICMLA Kari Torkkola, Noel Massey, Bob Leivian, Chip Wood, John Summers, Snehal Kundalkar
2003	J	`jnl`	Feature Extraction by Non-Parametric Mutual Information Maximization. J. Mach. Learn. Res. Kari Torkkola
2003	Misc	`conf`	Hybrid Intelligence for Driver Assistance. FLAIRS Chung Hee Hwang, Noel Massey, Bradford W. Miller, Kari Torkkola
2002	—	`conf`	Discriminative Features for Document Classification. ICPR (1) Kari Torkkola
2002	—	`conf`	Learning Feature Transforms Is an Easier Problem Than Feature Selection. ICPR (2) Kari Torkkola
2002	C	`conf`	Machine Learning for Advising a Driver: A Survey. ICMLA William M. Campbell, Kari Torkkola
2002	Misc	`conf`	On feature extraction by mutual information maximization. ICASSP Kari Torkkola
2001	—	`conf`	Learning Discriminative Feature Transforms to Low Dimensions in Low Dimentions. NIPS Kari Torkkola
2001	J	`jnl`	Self-organizing maps in mining gene expression data. Inf. Sci. Kari Torkkola, Robert Mike Gardner, Tamma Kaysser-Kranich, Calvin Ma
2000	A*	`conf`	Dimension Reduction Techniques for Training Polynomial Networks. ICML William M. Campbell, Kari Torkkola, Sreeream V. Balakrishnan
2000	A*	`conf`	Mutual Information in Learning Feature Transformations. ICML Kari Torkkola, William M. Campbell
1997	—	`conf`	Blind Separation of Radio Signals in Fading Channels. NIPS Kari Torkkola
1997	Misc	`conf`	Blind deconvolution, information maximization and recursive filters. ICASSP Kari Torkkola
1996	Misc	`conf`	Blind separation of delayed sources based on information maximization. ICASSP Kari Torkkola
1994	J	`jnl`	Mapping content dependent acoustic information into context independent form by LVQ. Speech Commun. Jyri Mäntysalo, Kari Torkkola, Teuvo Kohonen
1994	—	`conf`	New ways to use LVQ-codebooks together with hidden Markov models. ICASSP (1) Kari Torkkola
1993	—	`conf`	An efficient way to learn English grapheme-to-phoneme rules automatically. ICASSP (2) Kari Torkkola
1992	—	`conf`	Application of self-organizing maps and LVQ in training continuous density hidden Markov models for phonemes. ICSLP Mikko Kurimo, Kari Torkkola
1992	—	`conf`	LVQ-based speech recognition with high-dimensional context vectors. ICSLP Jyri Mäntysalo, Kari Torkkola, Teuvo Kohonen
1992	Misc	`conf`	Using SOMs as feature extractors for speech recognition. ICASSP Jari Kangas, Kari Torkkola, Mikko Kokkonen
1992	—	`conf`	Using phoneme group specific LVQ-codebooks with HMMs. ICSLP Pekka Utela, Samuel Kaski, Kari Torkkola
1991	—	`conf`	Improving short-time speech frame recognition results by using context. EUROSPEECH Kari Torkkola, Mikko Kokkonen, Mikko Kurimo, Pekka Utela
1991	Misc	`conf`	Using the topology-preserving properties of SOFMs in speech recognition. ICASSP Kari Torkkola, Mikko Kokkonen
1990	—	`conf`	A comparison of two methods to transcribe speech into phonemes: a rule-based method vs. back-propagation. ICSLP Kari Torkkola, Mikko Kokkonen
1990	J	`jnl`	Using self-organizing maps and multi-layered feed-forward nets to obtain phonemic transcriptions of spoken utterances. Speech Commun. Mikko Kokkonen, Kari Torkkola
1989	—	`conf`	Comparison of symbolic and connectionist approaches to eliminate coarticulation effects in phonemic speech recognition. EUROSPEECH Kari Torkkola, Kimmo Raivio
1989	—	`conf`	Using self-organizing maps and multi-layered feed-forward nets to obtain phonemic transcriptions of spoken utterances. EUROSPEECH Mikko Kokkonen, Kari Torkkola
1988	Misc	`conf`	Automatic alignment of speech with phonetic transcriptions in real time. ICASSP Kari Torkkola
1988	B	`conf`	Correction of quasiphoneme strings by the dynamically expanding context. ICPR Kari Torkkola, Teuvo Kohonen
1988	Misc	`conf`	Phonetic typewriter for Finnish and Japanese. ICASSP Teuvo Kohonen, Kari Torkkola, Makoto Shozakai, Jari Kangas, Olli Ventä
1987	—	`conf`	Microprocessor implementation of a large vocabulary speech recognizer and phonetic typewriter for Finnish and Japanese. ECST Teuvo Kohonen, Kari Torkkola, Makoto Shozakai, Jari Kangas, Olli Ventä
1986	Misc	`conf`	A microprocessor-based word recognition system for large vocabularies. ICASSP Kari Torkkola, Heikki Riittinen