Kai Puolamäki
#60,634
Most Influential Person Now
Finnish physicist
Kai Puolamäki's AcademicInfluence.com Rankings
Download Badge
Physics
Kai Puolamäki's Degrees
- PhD Physics University of Helsinki
- Masters Physics University of Helsinki
Why Is Kai Puolamäki Influential?
(Suggest an Edit or Addition)According to Wikipedia, Kai Puolamäki is a Finnish physicist and Internet activist. He has been a vocal spokesman of the Finnish anti-copyright movement. Academic career Puolamäki graduated from the University of Helsinki in 1996. In 2001 he presented his doctoral thesis titled Breaking of R-parity and supersymmetry in supersymmetric models. His earlier publications in physics have included articles on the Higgs boson.
Kai Puolamäki's Published Works
Number of citations in a given year to any of this author's works
Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author
Published Works
- Precipitation and large herbivorous mammals II: application to fossil data (2010) (131)
- Precipitation and large herbivorous mammals I: estimates from present-day communities (2010) (112)
- A peek into the black box: exploring classifiers by randomization (2014) (102)
- Combining eye movements and collaborative filtering for proactive information retrieval (2005) (99)
- Randomization Techniques for Graphs (2009) (97)
- Significance testing of word frequencies in corpora (2016) (95)
- Neogene aridification of the Northern Hemisphere (2012) (91)
- Evolution of Neogene Mammals in Eurasia: Environmental Forcing and Biotic Interactions (2014) (89)
- Exploring the mammalian sensory space: co-operations and trade-offs among senses (2013) (86)
- Tell me something I don't know: randomization strategies for iterative data mining (2009) (79)
- Can eyes reveal interest? Implicit queries from gaze patterns (2009) (71)
- Dental functional traits of mammals resolve productivity in terrestrial ecosystems past and present (2012) (69)
- An augmented reality interface to contextual information (2011) (66)
- Inferring Relevance from Eye Movements: Feature Extraction (2005) (63)
- Seriation in Paleontological Data Using Markov Chain Monte Carlo Methods (2006) (60)
- Biosignals reflect pair-dynamics in collaborative work: EDA and ECG study of pair-programming in a classroom environment (2018) (55)
- Algorithms for discovering bucket orders from data (2006) (55)
- Low-Cost Outdoor Air Quality Monitoring and Sensor Calibration (2019) (51)
- Implicit Relevance Feedback from Eye Movements (2005) (49)
- Information Retrieval by Inferring Implicit Queries from Eye Movements (2007) (46)
- Expectation maximization algorithms for conditional likelihoods (2005) (45)
- A statistical significance testing approach to mining the most informative set of patterns (2012) (38)
- Cognitive Collaboration Found in Cardiac Physiology: Study in Classroom Environment (2016) (35)
- Interpreting Classifiers through Attribute Interactions in Datasets (2017) (35)
- Modeling of relevance (2008) (34)
- Bayesian Solutions to the Label Switching Problem (2009) (27)
- Heart rate variability for evaluating vigilant attention in partial chronic sleep restriction. (2014) (26)
- A randomized approximation algorithm for computing bucket orders (2009) (26)
- Learning to learn implicit queries from gaze patterns (2008) (23)
- Probabilistic Approach to Robust Wearable Gaze Tracking (2017) (23)
- Size Matters: Finding the Most Informative Set of Window Lengths (2012) (23)
- Relevance Feedback from Eye Movements for Proactive Information Retrieval (2004) (21)
- Visually Controllable Data Mining Methods (2010) (20)
- Analyzing Word Frequencies in Large Text Corpora Using Inter-arrival Times and Bootstrapping (2011) (18)
- Interactive visual data exploration with subjective feedback: an information-theoretic approach (2017) (16)
- GoldenEye++: A Closer Look into the Black Box (2015) (16)
- Confidence bands for time series data (2014) (16)
- Two-Way Latent Grouping Model for User Preference Prediction (2005) (16)
- Latent grouping models for user preference prediction (2008) (15)
- An approximation ratio for biclustering (2007) (15)
- Interactive Visual Data Exploration with Subjective Feedback (2016) (13)
- Inferring Intent and Action from Gaze in Naturalistic Behavior: A Review (2017) (12)
- On Discriminative Joint Density Modeling (2005) (12)
- Correlations and Co-Occurrences of Taxa: the Role of Temporal, Geographic and Taxonomic Restrictions (2011) (12)
- Subjectively Interesting Subgroup Discovery on Real-Valued Targets (2017) (11)
- Introduction to the special issue on visual analytics and knowledge discovery (2010) (9)
- Significance of Patterns in Data Visualisations (2019) (9)
- Visual Analytics. Final report (2009) (9)
- The smallest set of constraints that explains the data: a randomization approach (2010) (8)
- Detecting virtual concept drift of regressors without ground truth values (2021) (8)
- Two-Way Grouping by One-Way Topic Models (2009) (8)
- Sparse Robust Regression for Explaining Classifiers (2019) (8)
- Ubiquitous Contextual Information Access with Proactive Retrieval and Augmentation (2009) (8)
- A Tool for Subjective and Interactive Visual Data Exploration (2016) (7)
- Signals of spontaneous R parity breaking at LEP and at a linear collider (1997) (6)
- Proceedings of the NIPS 2005 Workshop on Machine Learning for Implicit Feedback and User Modeling (2006) (6)
- The Effect of Scale, Climate and Environment on Species Richness and Spatial Distribution of Finnish Birds (2011) (5)
- Clustering with Confidence: Finding Clusters with Statistical Guarantees (2016) (4)
- Semigeometric Tiling of Event Sequences (2016) (4)
- Interactive Causal Structure Discovery in Earth System Sciences (2021) (4)
- A statistical significance testing approach to mining the most informative set of patterns (2012) (4)
- Finding Statistically Significant Attribute Interactions (2016) (4)
- Sound sample detection and numerosity estimation using auditory display (2013) (3)
- Guided Visual Exploration of Relations in Data Sets (2019) (3)
- A peek into the black box: exploring classifiers by randomization (2014) (3)
- Machine learning models to replicate large-eddy simulations of air pollutant concentrations along boulevard-type streets (2020) (3)
- Tiler: Software for Human-Guided Data Exploration (2018) (3)
- Size matters: choosing the most informative set of window lengths for mining patterns in event sequences (2015) (3)
- Cognitive ergonomics for data analysis. Experimental study of cognitive limitations in a data-based judgement task (2019) (3)
- Proceedings of the ACM SIGKDD Workshop on Visual Analytics and Knowledge Discovery: Integrating Automated Analysis with Interactive Exploration, Paris, France, June 28, 2009 (2009) (3)
- A Constrained Randomization Approach to Interactive Visual Data Exploration with Subjective Feedback (2020) (3)
- Multivariate Confidence Intervals (2017) (3)
- Inferring user action with mobile gaze tracking (2016) (2)
- Macadamia: Master's Programme in Machine Learning and Data Mining (2008) (2)
- Robust regression via error tolerance (2022) (2)
- Minimum-Width Confidence Bands via Constraint Optimization (2017) (2)
- PATTERNS OF HYPSODONTY IN UNGULATES SHOW THAT NEOGENE ARIDITY IN NORTH AMERICA PRECEDED THAT IN EURASIA (2009) (2)
- S 1 : Analysis of Electrodermal Activity Recordings in Pair Programming from 2 Dyads (2016) (2)
- Explaining Interval Sequences by Randomization (2013) (2)
- Predicting Binding of Transcriptional Regulators with a Two-Way Latent Grouping Model (2005) (1)
- Proactive information retrieval (2006) (1)
- Human-guided data exploration using randomisation (2018) (1)
- Estimating regression errors without ground truth values (2019) (1)
- Human-Guided Data Exploration (2018) (1)
- SIDE : a web app for interactive visual data exploration with subjective feedback (2016) (1)
- PRIMA — Proactive information retrieval by adaptive models of users ’ attention and interests (2004) (1)
- Neogene aridifi cation of the Northern Hemisphere (2012) (1)
- Higgs sector and R-parity breaking couplings in models with broken U(1) (B-L) gauge symmetry (2000) (1)
- Cognitive ergonomics for data analysis (2019) (1)
- Randomization Techniques for Statistical Significance Testing on Graphs (2008) (1)
- A survey of computational methods for fossil data analysis (2017) (1)
- Technical note: Incorporating expert domain knowledge into causal structure discovery workflows (2022) (1)
- Using regression makes extraction of shared variation in multiple datasets easy (2016) (0)
- and Mikael terrestrial ecosystems past and present Dental functional traits of mammals resolve productivity in Supplementary data tml (2012) (0)
- The lightest neutral and doubly charged higgs Bosons of left-right supersymmetric models (1999) (0)
- The supersymmetric spectrum of gauge-mediated supersymmetry breaking of SO(10) (1999) (0)
- Chapter 9 Proactive information retrieval (2008) (0)
- SLISEMAP: supervised dimensionality reduction through local explanations (2022) (0)
- Chapter 15 From Data to Knowledge Research Unit (2006) (0)
- A Gap Analysis of Low-Cost Outdoor Air Quality Sensor In-Field Calibration (2019) (0)
- Breaking of R-parity and supersymmetry in supersymmetric models (2001) (0)
- Proactive Interfaces (2012) (0)
- Comparison of precipitation estimates from plant and large mammal proxies for the European Neogene (2009) (0)
- Finding statistically significant high accident counts in exploration of occupational accident data. (2022) (0)
- Randomisation Algorithms for Large Sparse Matrices (2018) (0)
- Applying machine learning to replicate large-eddy simulation results on urban pollutant dispersion (2019) (0)
- Model selection with bootstrap validation (2023) (0)
- Comment on "Estimating causal networks in biosphere–atmosphere interaction with the PCMCI approach" (2021) (0)
- Supplementary material to "Machine learning models to replicate large-eddy simulations of air pollutant concentrations along boulevard-type streets" (2020) (0)
- Randomization algorithms for large sparse networks (2019) (0)
- ICML 2008, Twenty-Fifth International Conference on Machine Learning (2008) (0)
- E 99 , 053311 ( 2019 ) Randomization algorithms for large sparse networks (2019) (0)
- SLISEMAP: Combining Supervised Dimensionality Reduction with Local Explanations (2022) (0)
- Confidence bands for time series data (2014) (0)
- Size matters: choosing the most informative set of window lengths for mining patterns in event sequences (2014) (0)
- Supervised Human-Guided Data Exploration (2019) (0)
- Exploring the mammalian sensory space: co-operations and trade-offs among senses (2013) (0)
- Using regression makes extraction of shared variation in multiple datasets easy (2016) (0)
- Biosignals reflect pair-dynamics in collaborative work: EDA and ECG study of pair-programming in a classroom environment (2018) (0)
- Re: Know Ecosystem Plan (2015) (0)
- Inferring Intent and Action from Gaze in Naturalistic Behavior (2020) (0)
This paper list is powered by the following services:
Other Resources About Kai Puolamäki
What Schools Are Affiliated With Kai Puolamäki?
Kai Puolamäki is affiliated with the following schools:
