Lars Carlsson - RankMe

71 papers Journal 41Unranked 25

Year	Rank	Type	Title / Venue / Authors
2026	—	`conf`	Application of Confidence and Probabilistic Models to Practical Problems. The Importance of Being Learnable Lars Carlsson, Johan Hallberg Szabadváry, Ernst Ahlberg, James Gammerman
2025	J	`jnl`	Classification with Reject Option: Distribution-free Error Guarantees via Conformal Prediction. CoRR Johan Hallberg Szabadváry, Tuwe Löfström, Ulf Johansson, Cecilia Sönströd, Ernst Ahlberg, Lars Carlsson
2025	—	`ed.`	Fourteenth Symposium on Conformal and Probabilistic Prediction with Applications, COPA 2025, 10-12 September 2025, London, UK. COPA Khuong An Nguyen, Zhiyuan Luo, Harris Papadopoulos, Tuwe Löfström, Lars Carlsson, Henrik Boström
2025	J	`jnl`	PersonaBOT: Bringing Customer Personas to Life with LLMs and RAG. CoRR Muhammed Rizwan, Lars Carlsson, Mohammad Loni
2025	—	`conf`	Preface. COPA Harris Papadopoulos, Khuong An Nguyen, Zhiyuan Luo, Tuwe Löfström, Lars Carlsson, Henrik Boström
2025	—	`conf`	Testing by Betting for Anomaly Detection in Rental E-Scooter GNSS Traces. COPA Marco Capuccini, Rahul Rajendra Pai, Lars Carlsson
2024	J	`jnl`	CPSign: conformal prediction for cheminformatics modeling. J. Cheminformatics Staffan Arvidsson McShane, Ulf Norinder, Jonathan Alvarsson, Ernst Ahlberg, Lars Carlsson, Ola Spjuth
2024	J	`jnl`	Interactive remote electrical safety laboratory module in biomedical engineering education. Educ. Inf. Technol. Neda Haj-Hosseini, Hanna Jonasson, Magnus Stridsman, Lars Carlsson
2024	—	`conf`	Testing Exchangeability between Real and Synthetic Data. COPA Helena Löfström, Lars Carlsson, Ernst Ahlberg
2024	—	`ed.`	The 13th Symposium on Conformal and Probabilistic Prediction with Applications, 9-11 September 2024, Politecnico di Milano, Milano, Italy. COPA Simone Vantini, Matteo Fontana, Aldo Solari, Henrik Boström, Lars Carlsson
2023	—	`ed.`	Conformal and Probabilistic Prediction with Applications, 13-15 September 2023, Limassol, Cyprus. COPA Harris Papadopoulos, Khuong An Nguyen, Henrik Boström, Lars Carlsson
2023	—	`conf`	Evaluation of conformal-based probabilistic forecasting methods for short-term wind speed forecasting. COPA Simon Althoff, Johan Hallberg Szabadváry, Jonathan Anderson, Lars Carlsson
2022	—	`ed.`	Conformal and Probabilistic Prediction with Applications, 24-26 August 2022, Brighton, UK COPA Ulf Johansson, Henrik Boström, Khuong An Nguyen, Zhiyuan Luo, Lars Carlsson
2022	—	`conf`	Preface. COPA Ulf Johansson, Henrik Boström, Khuong An Nguyen, Zhiyuan Luo, Lars Carlsson
2021	—	`ed.`	Conformal and Probabilistic Prediction and Applications, 8-10 September 2021, Virtual Event. COPA Lars Carlsson, Zhiyuan Luo, Giovanni Cherubin, Khuong An Nguyen
2021	—	`conf`	Evaluation of updating strategies for conformal predictive systems in the presence of extreme events. COPA Hugo Werner, Lars Carlsson, Ernst Ahlberg, Henrik Boström
2021	J	`jnl`	High-dimensional near-optimal experiment design for drug discovery via Bayesian sparse sampling. CoRR Hannes Eriksson, Christos Dimitrakakis, Lars Carlsson
2021	—	`conf`	Preface. COPA Lars Carlsson, Zhiyuan Luo, Giovanni Cherubin, Khuong An Nguyen
2021	J	`jnl`	Retrain or not retrain: Conformal test martingales for change-point detection. CoRR Vladimir Vovk, Ivan Petej, Ilia Nouretdinov, Ernst Ahlberg, Lars Carlsson, Alex Gammerman
2021	—	`conf`	Retrain or not retrain: conformal test martingales for change-point detection. COPA Vladimir Vovk, Ivan Petej, Ilia Nouretdinov, Ernst Ahlberg, Lars Carlsson, Alex Gammerman
2020	—	`conf`	Conformal calibrators. COPA Vladimir Vovk, Ivan Petej, Paolo Toccaceli, Alexander Gammerman, Ernst Ahlberg, Lars Carlsson
2020	—	`conf`	Evaluating different approaches to calibrating conformal predictive systems. COPA Hugo Werner, Lars Carlsson, Ernst Ahlberg, Henrik Boström
2019	J	`jnl`	Accurate Hit Estimation for Iterative Screening Using Venn-ABERS Predictors. J. Chem. Inf. Model. Rubén Buendía, Thierry Kogej, Ola Engkvist, Lars Carlsson, Henrik Linusson, Ulf Johansson, Paolo Toccaceli, Ernst Ahlberg
2019	J	`jnl`	Application of Bioactivity Profile-Based Fingerprints for Building Machine Learning Models. J. Chem. Inf. Model. Noé Sturm, Jiangming Sun, Yves Vandriessche, Andreas Mayr, Günter Klambauer, Lars Carlsson, Ola Engkvist, Hongming Chen
2019	—	`conf`	Combining Prediction Intervals on Multi-Source Non-Disclosed Regression Datasets. COPA Ola Spjuth, Robin Carrión Brännström, Lars Carlsson, Niharika Gauraha
2019	J	`jnl`	Combining Prediction Intervals on Multi-Source Non-Disclosed Regression Datasets. CoRR Ola Spjuth, Robin Carrión Brännström, Lars Carlsson, Niharika Gauraha
2019	J	`jnl`	Conformal and probabilistic prediction with applications: editorial. Mach. Learn. Alexander Gammerman, Vladimir Vovk, Henrik Boström, Lars Carlsson
2019	—	`conf`	ExCAPE-DB: An Integrated Large Scale Dataset Facilitating Big Data Analysis in Chemogenomics. BNAIC/BENELEARN Jiangming Sun, Nina Jeliazkova, Vladimir I. Chupakhin, José Felipe Golib Dzib, Lars Carlsson, Jörg K. Wegner, Hugo Ceulemans, Ivan Georgiev, Vedrin Jeliazkov, Nikolay T. Kochev, Thomas J. Ashby, Hongming Chen
2018	J	`jnl`	Aggregating Predictions on Multiple Non-disclosed Datasets using Conformal Prediction. CoRR Ola Spjuth, Lars Carlsson, Niharika Gauraha
2018	J	`jnl`	Conformal Prediction in Learning Under Privileged Information Paradigm with Applications in Drug Discovery. CoRR Niharika Gauraha, Lars Carlsson, Ola Spjuth
2018	J	`jnl`	Conformal Regression for Quantitative Structure-Activity Relationship Modeling - Quantifying Prediction Uncertainty. J. Chem. Inf. Model. Fredrik Svensson, Natália Aniceto, Ulf Norinder, Isidro Cortes-Ciriano, Ola Spjuth, Lars Carlsson, Andreas Bender
2018	—	`conf`	Conformal prediction in learning under privileged information paradigm with applications in drug discovery. COPA Niharika Gauraha, Lars Carlsson, Ola Spjuth
2018	—	`conf`	Using Venn-Abers predictors to assess cardio-vascular risk. COPA Ernst Ahlberg, Rubén Buendía, Lars Carlsson
2018	—	`conf`	Venn-Abers predictors for improved compound iterative screening in drug discovery. COPA Rubén Buendía, Ola Engkvist, Lars Carlsson, Thierry Kogej, Ernst Ahlberg
2017	J	`jnl`	Applying Mondrian Cross-Conformal Prediction To Estimate Prediction Confidence on Large Imbalanced Bioactivity Data Sets. J. Chem. Inf. Model. Jiangming Sun, Lars Carlsson, Ernst Ahlberg, Ulf Norinder, Ola Engkvist, Hongming Chen
2017	—	`conf`	Comparing Performance of Different Inductive and Transductive Conformal Predictors Relevant to Drug Discovery. COPA Lars Carlsson, Claus Bendtsen, Ernst Ahlberg
2017	J	`jnl`	Current application of conformal prediction in drug discovery - Two useful applications. Ann. Math. Artif. Intell. Ernst Ahlberg, Oscar Hammar, Claus Bendtsen, Lars Carlsson
2017	J	`jnl`	Erratum to: ExCAPE-DB: an integrated large scale dataset facilitating Big Data analysis in chemogenomics. J. Cheminformatics Jiangming Sun, Nina Jeliazkova, Vladimir I. Chupakhin, José Felipe Golib Dzib, Ola Engkvist, Lars Carlsson, Jörg K. Wegner, Hugo Ceulemans, Ivan Georgiev, Vedrin Jeliazkov, Nikolay T. Kochev, Thomas J. Ashby, Hongming Chen
2017	J	`jnl`	Erratum to: The Chemistry Development Kit (CDK) v2.0: atom typing, depiction, molecular formulas, and substructure searching. J. Cheminformatics Egon L. Willighagen, John W. Mayfield, Jonathan Alvarsson, Arvid Berg, Lars Carlsson, Nina Jeliazkova, Stefan Kuhn, Tomás Pluskal, Miquel Rojas-Chertó, Ola Spjuth, Gilleain M. Torrance, Chris T. A. Evelo, Rajarshi Guha, Christoph Steinbeck
2017	J	`jnl`	ExCAPE-DB: an integrated large scale dataset facilitating Big Data analysis in chemogenomics. J. Cheminformatics Jiangming Sun, Nina Jeliazkova, Vladimir I. Chupakhin, José Felipe Golib Dzib, Ola Engkvist, Lars Carlsson, Jörg K. Wegner, Hugo Ceulemans, Ivan Georgiev, Vedrin Jeliazkov, Nikolay T. Kochev, Thomas J. Ashby, Hongming Chen
2017	J	`jnl`	Improving machine learning in early drug discovery. Ann. Math. Artif. Intell. Claus Bendtsen, Andrea Degasperi, Ernst Ahlberg, Lars Carlsson
2017	—	`conf`	Prediction of Metabolic Transformations using Cross Venn-ABERS Predictors. COPA Staffan Arvidsson, Ola Spjuth, Lars Carlsson, Paolo Toccaceli
2017	J	`jnl`	The Chemistry Development Kit (CDK) v2.0: atom typing, depiction, molecular formulas, and substructure searching. J. Cheminformatics Egon L. Willighagen, John W. Mayfield, Jonathan Alvarsson, Arvid Berg, Lars Carlsson, Nina Jeliazkova, Stefan Kuhn, Tomás Pluskal, Miquel Rojas-Chertó, Ola Spjuth, Gilleain M. Torrance, Chris T. A. Evelo, Rajarshi Guha, Christoph Steinbeck
2017	—	`conf`	Using Conformal Prediction to Prioritize Compound Synthesis in Drug Discovery. COPA Ernst Ahlberg, Susanne Winiwarter, Henrik Boström, Henrik Linusson, Tuve Löfström, Ulf Norinder, Ulf Johansson, Ola Engkvist, Oscar Hammar, Claus Bendtsen, Lars Carlsson
2015	—	`conf`	Conformal Prediction in Spark: Large-Scale Machine Learning with Confidence. BDC Marco Capuccini, Lars Carlsson, Ulf Norinder, Ola Spjuth
2015	—	`conf`	Handling Small Calibration Sets in Mondrian Inductive Conformal Regressors. SLDS Ulf Johansson, Ernst Ahlberg, Henrik Boström, Lars Carlsson, Henrik Linusson, Cecilia Sönströd
2015	—	`conf`	Interpretation of Conformal Prediction Classification Models. SLDS Ernst Ahlberg, Ola Spjuth, Catrin Hasselgren, Lars Carlsson
2015	—	`conf`	Modifications to p-Values of Conformal Predictors. SLDS Lars Carlsson, Ernst Ahlberg, Henrik Boström, Ulf Johansson, Henrik Linusson
2015	J	`jnl`	Scaling Predictive Modeling in Drug Development with Cloud Computing. J. Chem. Inf. Model. Behrooz Torabi Moghadam, Jonathan Alvarsson, Marcus Holm, Martin Eklund, Lars Carlsson, Ola Spjuth
2015	J	`jnl`	The application of conformal prediction to the drug discovery process. Ann. Math. Artif. Intell. Martin Eklund, Ulf Norinder, Scott Boyer, Lars Carlsson
2014	—	`conf`	Aggregated Conformal Prediction. AIAI (Workshops) Lars Carlsson, Martin Eklund, Ulf Norinder
2014	J	`jnl`	Assessment of Machine Learning Reliability Methods for Quantifying the Applicability Domain of QSAR Regression Models. J. Chem. Inf. Model. Marko Toplak, Rok Mocnik, Matija Polajnar, Zoran Bosnic, Lars Carlsson, Catrin Hasselgren Arnby, Janez Demsar, Scott Boyer, Blaz Zupan, Jonna C. Stålring
2014	J	`jnl`	Benchmarking Study of Parameter Variation When Using Signature Fingerprints Together with Support Vector Machines. J. Chem. Inf. Model. Jonathan Alvarsson, Martin Eklund, Claes R. Andersson, Lars Carlsson, Ola Spjuth, Jarl E. S. Wikberg
2014	J	`jnl`	Beyond the Scope of Free-Wilson Analysis. 2 Can Distance Encoded R-Group Fingerprints Provide Interpretable Nonlinear Models? J. Chem. Inf. Model. Mats Eriksson, Hongming Chen, Lars Carlsson, J. Willem M. Nissink, John G. Cumming, Ingemar Nilsson
2014	J	`jnl`	Choosing Feature Selection and Learning Algorithms in QSAR. J. Chem. Inf. Model. Martin Eklund, Ulf Norinder, Scott Boyer, Lars Carlsson
2014	J	`jnl`	Computational Derivation of Structural Alerts from Large Toxicology Data Sets. J. Chem. Inf. Model. Ernst Ahlberg Helgee, Lars Carlsson, Scott Boyer
2014	J	`jnl`	Introducing Conformal Prediction in Predictive Modeling. A Transparent and Flexible Alternative to Applicability Domain Determination. J. Chem. Inf. Model. Ulf Norinder, Lars Carlsson, Scott Boyer, Martin Eklund
2014	J	`jnl`	Ligand-Based Target Prediction with Signature Fingerprints. J. Chem. Inf. Model. Jonathan Alvarsson, Martin Eklund, Ola Engkvist, Ola Spjuth, Lars Carlsson, Jarl E. S. Wikberg, Tobias Noeske
2013	J	`jnl`	Beyond the Scope of Free-Wilson Analysis: Building Interpretable QSAR Models with Machine Learning Algorithms. J. Chem. Inf. Model. Hongming Chen, Lars Carlsson, Mats Eriksson, Péter L. Várkonyi, Ulf Norinder, Ingemar Nilsson
2013	J	`jnl`	Bioclipse-R: integrating management and visualization of life science data with statistical analysis. Bioinform. Ola Spjuth, Valentin Georgiev, Lars Carlsson, Jonathan Alvarsson, Arvid Berg, Egon L. Willighagen, Jarl E. S. Wikberg, Martin Eklund
2013	J	`jnl`	Localized Heuristic Inverse Quantitative Structure Activity Relationship with Bulk Descriptors Using Numerical Gradients. J. Chem. Inf. Model. Jonna C. Stålring, Pedro Almeida, Lars Carlsson, Ernst Ahlberg Helgee, Catrin Hasselgren Arnby, Scott Boyer
2013	J	`jnl`	QSAR with experimental and predictive distributions: an information theoretic approach for assessing model quality. J. Comput. Aided Mol. Des. David J. Wood, Lars Carlsson, Martin Eklund, Ulf Norinder, Jonna C. Stålring
2013	J	`jnl`	Stereo Signature Molecular Descriptor. J. Chem. Inf. Model. Pablo Carbonell, Lars Carlsson, Jean-Loup Faulon
2012	—	`conf`	Application of Conformal Prediction in QSAR. AIAI (2) Martin Eklund, Ulf Norinder, Scott Boyer, Lars Carlsson
2011	J	`jnl`	AZOrange - High performance open source machine learning for QSAR modeling in a graphical programming environment. J. Cheminformatics Jonna C. Stålring, Lars Carlsson, Pedro Almeida, Scott Boyer
2011	J	`jnl`	Integrated Decision Support for Assessing Chemical Liabilities. J. Chem. Inf. Model. Ola Spjuth, Martin Eklund, Ernst Ahlberg Helgee, Scott Boyer, Lars Carlsson
2010	J	`jnl`	Evaluation of Quantitative Structure-Activity Relationship Modeling Strategies: Local and Global Models. J. Chem. Inf. Model. Ernst Ahlberg Helgee, Lars Carlsson, Scott Boyer, Ulf Norinder
2010	J	`jnl`	Use of historic metabolic biotransformation data as a means of anticipating metabolic sites using MetaPrint2D and Bioclipse. BMC Bioinform. Lars Carlsson, Ola Spjuth, Samuel E. Adams, Robert C. Glen, Scott Boyer
2009	J	`jnl`	A Method for Automated Molecular Optimization Applied to Ames Mutagenicity Data. J. Chem. Inf. Model. Ernst Ahlberg Helgee, Lars Carlsson, Scott Boyer
2009	J	`jnl`	Interpretation of Nonlinear QSAR Models Applied to Ames Mutagenicity Data. J. Chem. Inf. Model. Lars Carlsson, Ernst Ahlberg Helgee, Scott Boyer
2007	J	`jnl`	Reaction Site Mapping of Xenobiotic Biotransformations. J. Chem. Inf. Model. Scott Boyer, Catrin Hasselgren Arnby, Lars Carlsson, James Smith, Viktor Stein, Robert C. Glen

Nicolò Altamura is a security engineer and computer science researcher specializing in software protection, reverse engineering, program analysis, and binary deobfuscation. He holds a master's degree in Computer Science and Engineering from the University of Verona, graduating with honors, and works at emproof, focusing on software protection and the challenges of analyzing and understanding compiled software.

His research explores the relationship between program analysis and code obfuscation, with particular emphasis on how software transformations affect the ability of automated tools to recover program behavior. His interests span static analysis, binary analysis, decompilation, reverse engineering, and techniques for analyzing and simplifying obfuscated code.

Beyond academic research, Nicolò develops and contributes to tools for reverse engineering and software analysis. His projects include obfuscation_analysis, a Binary Ninja plugin for analyzing and simplifying obfuscated code; Pocket, an obfuscator for mixed Boolean-arithmetic expressions; and ptxNinja, a tool for reverse engineering NVIDIA GPU code represented in the PTX virtual instruction set.

His research also extends to binary datasets and software evolution. In 2026, he co-authored ASSEMBLAGE-DEEPHISTORY: A Cross-Build Binary Dataset with Temporal Coverage, a research work addressing the availability of binary data across multiple software builds and points in time, supporting research into binary analysis and changes between program versions.

Across his research, engineering work, and open-source contributions, Nicolò focuses on advancing the understanding, analysis, and protection of software against increasingly sophisticated obfuscation and reverse-engineering challenges.

Nicolò Altamura is not a football player. Please avoid reporting this kind of infromation.