Mieczyslaw A. Klopotek

According to our database1, Mieczyslaw A. Klopotek
  • authored at least 103 papers between 1984 and 2017.
  • has a "Dijkstra number"2 of four.

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Bibliography

2017
On Seeking Consensus Between Document Similarity Measures.
Fundam. Inform., 2017

Knowledge Acquisition, Representation \& Manipulation in Decision Support Systems.
CoRR, 2017

What Does a Belief Function Believe In ?
CoRR, 2017

Traditional PageRank versus Network Capacity Bound.
CoRR, 2017

Network Capacity Bound for Personalized PageRank in Multimodal Networks.
CoRR, 2017

Basic Formal Properties of A Relational Model of The Mathematical Theory of Evidence.
CoRR, 2017

Evidence Against Evidence Theory (?!).
CoRR, 2017

On the Discrepancy Between Kleinberg's Clustering Axioms and k-Means Clustering Algorithm Behavior.
CoRR, 2017

Restricted Causal Inference Algorithm.
CoRR, 2017

Learning Belief Network Structure From Data under Causal Insufficiency.
CoRR, 2017

Distribution of degrees of freedom over structure and motion of rigid bodies.
CoRR, 2017

Recovery of structure of looped jointed objects from multiframes.
CoRR, 2017

An Aposteriorical Clusterability Criterion for k-Means and Simplicity of Clustering.
CoRR, 2017

A Comment on "Analysis of Video Image Sequences Using Point and Line Correspondences".
CoRR, 2017

Dempster-Shafer Belief Function - A New Interpretation.
CoRR, 2017

Beliefs in Markov Trees - From Local Computations to Local Valuation.
CoRR, 2017

Reconstruction of~3-D Rigid Smooth Curves Moving Free when Two Traceable Points Only are Available.
CoRR, 2017

Beliefs and Probability in Bacchus' l.p. Logic: A~3-Valued Logic Solution to Apparent Counter-intuition.
CoRR, 2017

Transferrable Plausibility Model - A Probabilistic Interpretation of Mathematical Theory of Evidence.
CoRR, 2017

Machine Learning Friendly Set Version of Johnson-Lindenstrauss Lemma.
CoRR, 2017

On the Consistency of k-means++ algorithm.
CoRR, 2017

Fast Restricted Causal Inference.
CoRR, 2017

On (Anti)Conditional Independence in Dempster-Shafer Theory.
CoRR, 2017

Identification and Interpretation of Belief Structure in Dempster-Shafer Theory.
CoRR, 2017

Independence, Conditionality and Structure of Dempster-Shafer Belief Functions.
CoRR, 2017

On Seeking Consensus Between Document Similarity Measures.
CoRR, 2017

On the Existence of Kernel Function for Kernel-Trick of k-Means.
CoRR, 2017

Semantic classifier approach to document classification.
CoRR, 2017

On the Existence of Kernel Function for Kernel-Trick of k-Means.
Proceedings of the Foundations of Intelligent Systems - 23rd International Symposium, 2017

2016
Network Capacity Bound for Personalized Bipartite PageRank.
Proceedings of the Challenges in Computational Statistics and Data Mining, 2016

What NEKST? - Semantic Search Engine for Polish Internet.
Proceedings of the Challenging Problems and Solutions in Intelligent Systems, 2016

Grammatical Case Based IS-A Relation Extraction with Boosting for Polish.
CoRR, 2016

Grammatical Case Based IS-A Relation Extraction with Boosting for Polish.
Proceedings of the 2016 Federated Conference on Computer Science and Information Systems, 2016

Applications of Discrete Dirichlet Problem to Semi-supervised Community Detection by Label Propagation.
Proceedings of the Third European Network Intelligence Conference, 2016

2015
Latency of Neighborhood Based Recommender Systems.
Fundam. Inform., 2015

Scalable Method for Information Spread Control in Social Network.
Proceedings of the 2015 Second European Network Intelligence Conference, 2015

2014
Lazy Walks Versus Walks with Backstep: Flavor of PageRank.
Proceedings of the 2014 IEEE/WIC/ACM International Joint Conferences on Web Intelligence (WI) and Intelligent Agent Technologies (IAT), Warsaw, Poland, August 11-14, 2014, 2014

Unsupervised Aggregation of Categories for Document Labelling.
Proceedings of the Foundations of Intelligent Systems - 21st International Symposium, 2014

2013
A Calculus for Personalized PageRank.
Proceedings of the Language Processing and Intelligent Information Systems, 2013

Stabilization of Users Profiling Processed by Metaclustering of Web Pages.
Proceedings of the Language Processing and Intelligent Information Systems, 2013

What is the Value of Information - Search Engine's Point of View.
Proceedings of the Computer Information Systems and Industrial Management, 2013

2011
An Algorithm for Parallel Tree-Shaped Bayesian Network Construction.
Proceedings of the Emerging Intelligent Technologies in Industry, 2011

Wikipedia-Based Document Categorization.
Proceedings of the Security and Intelligent Information Systems, 2011

Scale Invariant Bipartite Graph Generative Model.
Proceedings of the Security and Intelligent Information Systems, 2011

2010
Random graph generative model for Folksonomy network structure approximation.
Proceedings of the International Conference on Computational Science, 2010

Random Graphs for Performance Evaluation of Recommender Systems
CoRR, 2010

Random Graph Generator for Bipartite Networks Modeling
CoRR, 2010

Node Degree Distribution in Affiliation Graphs for Social Network Density Modeling.
Proceedings of the Social Informatics - Second International Conference, 2010

2009
FutureTrust Algorithm in Specific Factors on Mobile Agents.
Proceedings of the Foundations of Intelligent Systems, 18th International Symposium, 2009

2008
Term Distribution-Based Initialization of Fuzzy Text Clustering.
Proceedings of the Foundations of Intelligent Systems, 17th International Symposium, 2008

Performance of a Strategy Based Packets Forwarding in Ad Hoc Networks.
Proceedings of the The Third International Conference on Availability, 2008

2007
Techniques and Technologies Behind Maps of Internet and Intranet Document Collections.
Proceedings of the E-Service Intelligence: Methodologies, Technologies and Applications, 2007

Future Trust Forecast in Open Mobile Agent Environment.
Proceedings of the WEBIST 2007, 2007

Analysis of Distributed Packet Forwarding Strategies in Ad Hoc Networks.
Proceedings of the Parallel Processing and Applied Mathematics, 2007

Evolution of Strategy Driven Behavior in Ad Hoc Networks Using a Genetic Algorithm.
Proceedings of the 21th International Parallel and Distributed Processing Symposium (IPDPS 2007), 2007

Towards Adaptive Web Mining: Histograms and Contexts in Text Data Clustering.
Proceedings of the Advances in Intelligent Data Analysis VII, 2007

Contextual Adaptive Clustering of Web and Text Documents with Personalization.
Proceedings of the Mining Complex Data, ECML/PKDD 2007 Third International Workshop, 2007

Histogram-Based Dimensionality Reduction of Term Vector Space.
Proceedings of the 6th International Conference on Computer Information Systems and Industrial Management Applications, 2007

Modelling the Evolution of Cooperative Behavior in Ad Hoc Networks using a Game Based Model.
Proceedings of the 2007 IEEE Symposium on Computational Intelligence and Games, 2007

Preventing selfish behavior in Ad Hoc networks.
Proceedings of the IEEE Congress on Evolutionary Computation, 2007

2006
Incremental document map formation: multi-stage approach.
Annales UMCS, Informatica, 2006

Evolution of cooperation in ad hoc networks under game theoretic model.
Proceedings of the Forth ACM International Workshop on Mobility Management & Wireless Access, 2006

Contextual Maps for Browsing Huge Document Collections.
Proceedings of the Foundations of Intelligent Systems, 16th International Symposium, 2006

An Immune Network for Contextual Text Data Clustering.
Proceedings of the Artificial Immune Systems, 5th International Conference, 2006

Map-Based Recommendation of Hyperlinked Document Collections.
Proceedings of the E-Commerce and Web Technologies, 7th International Conference, 2006

Text Data Clustering by Contextual Graphs.
Proceedings of the Discovery Science, 9th International Conference, 2006

BEATCA: Map-Based Intelligent Navigation in WWW.
Proceedings of the Artificial Intelligence: Methodology, 2006

2005
Very large Bayesian multinets for text classification.
Future Generation Comp. Syst., 2005

On Some Clustering Algorithms for Document Maps Creation.
Proceedings of the Intelligent Information Processing and Web Mining, 2005

You Must Be Cautious While Looking For Patterns With Multiresponse Questionnaire Data.
Proceedings of the Intelligent Information Processing and Web Mining, 2005

Coexistence of Fuzzy and Crisp Concepts in Document Maps.
Proceedings of the Artificial Neural Networks: Formal Models and Their Applications, 2005

2004
Towards a More Realistic Web Graph Model.
Proceedings of the Intelligent Information Processing and Web Mining, 2004

On a Special Class of Dempster-Shafer Theories.
Proceedings of the Artificial Intelligence and Soft Computing, 2004

2003
Reasoning and Learning in Extended Structured Bayesian Networks.
Fundam. Inform., 2003

Uncorrelating PageRank and In-Degree in a Synthetic Web Model.
Proceedings of the Computer and Information Sciences, 2003

Bayesian Nets for Recommender Systems.
Proceedings of the Intelligent Information Processing and Web Mining, 2003

Dependence of Two Multiresponse Variables: Importance of The Counting Method.
Proceedings of the Intelligent Information Processing and Web Mining, 2003

Very Large Bayesian Networks in Text Classification.
Proceedings of the Computational Science - ICCS 2003, 2003

2002
A New Bayesian Tree Learning Method with Reduced Time and Space Complexity.
Fundam. Inform., 2002

Mining Bayesian Network Structure for Large Sets of Variables.
Proceedings of the Foundations of Intelligent Systems, 13th International Symposium, 2002

The Concept of Discoveries in Evolving Neural Net.
Proceedings of the Intelligent Information Systems 2002, 2002

Application of Valuation Based Systems to Optimization of Enumeration Protocols.
Proceedings of the Intelligent Information Systems 2002, 2002

Well-Structured Program Graphs and the Issue of Local Computations.
Proceedings of the Intelligent Information Systems 2002, 2002

2001
Bayesian Network Mining System.
Proceedings of the Intelligent Information Systems 2001, 2001

Taxonomy Building: Cases or Attributes?
Proceedings of the Intelligent Information Systems 2001, 2001

2000
Discovery of Bayesian Neworks From Data with Maintenance of Partially Oriented Graphs.
Proceedings of the Intelligent Information Systems, 2000

Probabilistic Neural Nets in Knowledge Intense Learning Tasks.
Proceedings of the Intelligent Information Systems, 2000

Dynamic AI Methods Applied to Internet-Based Integration of Credit Scoring Systems.
Proceedings of the Flexible Query Answering Systems, 2000

1999
Reasoning and Acquisition of Knowledge in a System for Hand Wound Diagnosis and Prognosis.
Proceedings of the Foundations of Intelligent Systems, 11th International Symposium, 1999

An Interpretation for the Conditional Belief Function in the Theory of Evidence.
Proceedings of the Foundations of Intelligent Systems, 11th International Symposium, 1999

1998
A New Qualitative Rough-Set Approach to Modeling Belief Functions.
Proceedings of the Rough Sets and Current Trends in Computing, 1998

1997
Modified Component Valuations in Valuation Based Systems as a Way to Optimize Query Processing.
J. Intell. Inf. Syst., 1997

Reasoning and Facts Explanation in Valuation Based Systems.
Fundam. Inform., 1997

Qualitative Versus Quantitative Interpretation of the Mathematical Theory of Evidence.
Proceedings of the Foundations of Intelligent Systems, 10th International Symposium, 1997

1996
Application of a Genetic Algorithm for Plausible Justification of Observations.
Proceedings of the KI-96: Advances in Artificial Intelligence, 1996

Modified Component Valuations in Valuation Based Systems as a Way to Optimize Query Processing.
Proceedings of the Foundations of Intelligent Systems, 9th International Symposium, 1996

1995
A comment on "analysis of video image sequences using point and line correspondences".
Pattern Recognition, 1995

1994
Restricted Causal Inference.
Proceedings of the Technology and Foundations - Information Processing '94, Volume 1, Proceedings of the IFIP 13th World Computer Congress, Hamburg, Germany, 28 August, 1994

Learning Belief Network Structure from Data Under Causal Insufficiency.
Proceedings of the Machine Learning: ECML-94, 1994

1991
On the phenomenon of flattening "flexible prediction" concept hierarchy.
Proceedings of the Fundamentals of Artificial Intelligence Research, 1991

1990
An Object-Oriented Representation Framework for Hierarchical Evidential Reasoning.
Proceedings of the Artificial Intelligence IV: Methodology, Systems, Applications, 1990

1985
Towards Prevention of Deadlocks.
Elektronische Informationsverarbeitung und Kybernetik, 1985

1984
Ein Beitrag zur statischen Verklemmungsvermeidung in Systemen nichtbinärer Betriebsmittel.
PhD thesis, 1984


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