Artur Sokolovsky

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All published works

Action	Title	Year	Authors
+	Sensitivity analysis for the detection of NO2 plumes from seagoing ships using TROPOMI data	2024	Solomiia Kurchaba Artur Sokolovsky Jasper van Vliet Fons J. Verbeek Cor J. Veenman
+ PDF Chat	TROPOMI/S5P sensitivity limits with respect to detection of NO2 plumes from seagoing ships	2023	Solomiia Kurchaba Artur Sokolovsky Jasper van Vliet Fons J. Verbeek Cor J. Veenman
+ PDF Chat	Cost-Effective Vibration Analysis through Data-Backed Pipeline Optimisation	2021	Artur Sokolovsky David Hare Jörn Mehnen
+	Cost-effective vibration analysis through data-backed pipeline optimisation	2021	Artur Sokolovsky David Hare Jörn Mehnen
+	Interpretable ML-driven Strategy for Automated Trading Pattern Extraction.	2021	Artur Sokolovsky Luca Arnaboldi Jaume Bacardit Thomas Groß
+	Explainable Machine Learning-driven Strategy for Automated Trading Pattern Extraction.	2021	Artur Sokolovsky Luca Arnaboldi Jaume Bacardit Thomas Groß
+ PDF Chat	Is it feasible to detect FLOSS version release events from textual messages? A case study on Stack Overflow	2021	Artur Sokolovsky Thomas Groß Jaume Bacardit
+	Volume-Centred Range Bars: Novel Interpretable Representation of Financial Markets Designed for Machine Learning Applications	2021	Artur Sokolovsky Luca Arnaboldi Jaume Bacardit Thomas Groß
+	Machine Learning Classification of Price Extrema Based on Market Microstructure Features: A Case Study of S&P500 E-mini Futures.	2020	Artur Sokolovsky Luca Arnaboldi
+	Machine Learning Classification of Price Extrema Based on Market Microstructure and Price Action Features. A Case Study of S&P500 E-mini Futures	2020	Artur Sokolovsky Luca Arnaboldi
+	Detection of FLOSS version release events from Stack Overflow message data.	2020	Artur Sokolovsky Thomas Groß Jaume Bacardit
+	A Generic Methodology for the Statistically Uniform & Comparable Evaluation of Automated Trading Platform Components	2020	Artur Sokolovsky Luca Arnaboldi

Common Coauthors

Coauthor	Papers Together
Luca Arnaboldi	6
Jaume Bacardit	5
Thomas Groß	5
Fons J. Verbeek	2
Jörn Mehnen	2
Jasper van Vliet	2
Solomiia Kurchaba	2
David Hare	2
Cor J. Veenman	2

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+	Teoria Statistica Delle Classi e Calcolo Delle Probabilità	2010		5
+	A Unified Approach to Interpreting Model Predictions	2017	Scott Lundberg Su‐In Lee	3
+	Statistical methods in psychology journals: Guidelines and explanations.	1999	Leland Wilkinson	2
+	Asset Price Volatility and Price Extrema	2018	Carey Caginalp Gunduz Caginalp	2
+	XGBoost	2016	Tianqi Chen Carlos Guestrin	2
+	Attention-based Deep Multiple Instance Learning	2018	Maximilian Ilse Jakub M. Tomczak Max Welling	2
+	Predictive learning via rule ensembles	2008	Jerome H. Friedman Bogdan Popescu	2
+	Adaptive Pooling Operators for Weakly Labeled Sound Event Detection	2018	Brian McFee Justin Salamon Juan Pablo Bello	2
+	Akaike Information Criterion Statistics	1989	Daniel G. Brooks Yoshitaka Sakamoto Makio Ishiguro G. Kitagawa	2
+ PDF Chat	Fast algorithms for discrete and continuous wavelet transforms	1992	Olivier Rioul Pierre Duhamel	2
+	On Consistency and Limitation of Independent t-test Kolmogorov Smirnov Test and Mann Whitney U test	2016	Usman Usman	2
+	Rectangular Confidence Regions for the Means of Multivariate Normal Distributions	1967	Zbyněk Šidák	2
+ PDF Chat	Supervised Segmentation of NO2 Plumes from Individual Ships Using TROPOMI Satellite Data	2022	Solomiia Kurchaba Jasper van Vliet Fons J. Verbeek Jacqueline J. Meulman Cor J. Veenman	2
+	Some useful properties of Teager's energy operators	1993	J. Kaiser	2
+	Dominance statistics: Ordinal analyses to answer ordinal questions.	1993	Norman Cliff	2
+	Efficient Estimation of Word Representations in Vector Space	2013	Tomáš Mikolov Kai Chen Greg S. Corrado Jay B. Dean	1
+	A Dual-Stage Attention-Based Recurrent Neural Network for Time Series Prediction	2017	Yao Qin Dongjin Song Haifeng Chen Wei Cheng Guofei Jiang Garrison W. Cottrell	1
+ PDF Chat	ATM: Adversarial-neural Topic Model	2019	Rui Wang Deyu Zhou Yulan He	1
+ PDF Chat	Multimodal Classification of Urban Micro-Events	2019	Maarten Sukel Stevan Rudinac Marcel Worring	1
+	Detection of FLOSS version release events from Stack Overflow message data.	2020	Artur Sokolovsky Thomas Groß Jaume Bacardit	1
+	Machine Learning Classification of Price Extrema Based on Market Microstructure Features: A Case Study of S&P500 E-mini Futures.	2020	Artur Sokolovsky Luca Arnaboldi	1
+	On Interpretability of Artificial Neural Networks: A Survey	2020	Fenglei Fan Jinjun Xiong Mengzhou Li Ge Wang	1
+ PDF Chat	Sentiment Polarity Detection for Software Development	2017	Fabio Calefato Filippo Lanubile Federico Maiorano Nicole Novielli	1
+ PDF Chat	Classification-based financial markets prediction using deep neural networks	2017	Matthew Dixon Diego Klabjan Jin Hoon Bang	1
+ PDF Chat	Is it feasible to detect FLOSS version release events from textual messages? A case study on Stack Overflow	2021	Artur Sokolovsky Thomas Groß Jaume Bacardit	1
+ PDF Chat	Cost-Effective Vibration Analysis through Data-Backed Pipeline Optimisation	2021	Artur Sokolovsky David Hare Jörn Mehnen	1
+	Performance of Some Resistant Rules for Outlier Labeling	1986	David C. Hoaglin Boris Iglewicz John W. Tukey	1
+	Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer	2019	Colin Raffel Noam Shazeer Adam Roberts Katherine Lee Sharan Narang Michael Matena Yanqi Zhou Wei Li Peter J. Liu	1
+	The Elements of Statistical Learning	2001	Trevor Hastie J. Friedman Robert Tibshirani	1
+	Anomalous NO2 emitting ship detection with TROPOMI satellite data and machine learning	2023	Solomiia Kurchaba Jasper van Vliet Fons J. Verbeek Cor J. Veenman	1
+	Efficient Estimation of Word Representations in Vector Space	2013	Tomáš Mikolov Kai Chen Greg S. Corrado Jay B. Dean	1
+	Distribution Theory for Glass's Estimator of Effect size and Related Estimators	1981	Larry V. Hedges	1
+ PDF Chat	The Probable Error of a Mean	1908	Student	1
+ PDF Chat	Statistical Modeling: The Two Cultures (with comments and a rejoinder by the author)	2001	Leo Breiman	1
+	Scikit-learn: Machine Learning in Python	2012	Fabián Pedregosa Gaël Varoquaux Alexandre Gramfort Vincent Michel Bertrand Thirion Olivier Grisel Mathieu Blondel Peter Prettenhofer Ron J. Weiss Vincent Dubourg	1
+ PDF Chat	Identifying States of a Financial Market	2012	Michael C. Münnix Takashi Shimada Rudi Schäfer F. Leyvraz T. H. Seligman Thomas Guhr H. Eugene Stanley	1
+	Multichannel Variable-Size Convolution for Sentence Classification	2015	Wenpeng Yin Hinrich Schütze	1
+	A Dual-Stage Attention-Based Recurrent Neural Network for Time Series Prediction	2017	Yao Qin Dongjin Song Haifeng Chen Wei Cheng Guofei Jiang Garrison W. Cottrell	1
+ PDF Chat	A network approach to topic models	2018	Martin Gerlach Tiago P. Peixoto Eduardo G. Altmann	1
+	What Does Explainable AI Really Mean? A New Conceptualization of Perspectives	2017	Derek Doran Sarah Schulz Tarek R. Besold	1
+	What do we need to build explainable AI systems for the medical domain?	2017	Andreas Holzinger Chris Biemann Constantinos S. Pattichis Douglas B. Kell	1
+	CatBoost: unbiased boosting with categorical features	2017	Liudmila Prokhorenkova Gleb Gusev Aleksandr Vorobev Anna Veronika Dorogush Andrey Gulin	1
+	Metrics for Explainable AI: Challenges and Prospects.	2018	Robert R. Hoffman Shane T. Mueller Gary Klein Jordan A. Litman	1
+	The Author-Topic Model for Authors and Documents	2012	Michal Rosen‐Zvi Thomas L. Griffiths Mark Steyvers Padhraic Smyth	1