000 07149nam a22006855i 4500
001 978-3-031-70816-9
003 DE-He213
005 20251030112942.0
007 cr nn 008mamaa
008 240906s2024 sz | s |||| 0|eng d
020 _a9783031708169
_9978-3-031-70816-9
024 7 _a10.1007/978-3-031-70816-9
_2doi
050 4 _aQ334-342
050 4 _aTA347.A78
072 7 _aUYQ
_2bicssc
072 7 _aCOM004000
_2bisacsh
072 7 _aUYQ
_2thema
245 1 0 _aComputational Collective Intelligence
_h[electronic resource] :
_b16th International Conference, ICCCI 2024, Leipzig, Germany, September 9–11, 2024, Proceedings, Part I /
_cedited by Ngoc Thanh Nguyen, Bogdan Franczyk, André Ludwig, Manuel Núñez, Jan Treur, Gottfried Vossen, Adrianna Kozierkiewicz.
250 _a1st ed. 2024.
264 1 _aCham :
_bSpringer Nature Switzerland :
_bImprint: Springer,
_c2024.
300 _aXXVII, 397 p. 132 illus., 105 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aLecture Notes in Artificial Intelligence,
_x2945-9141 ;
_v14810
505 0 _a -- Collective Intelligence and Collective Decision-Making. -- Collective Computational Intelligence – challenges and opportunities. -- Reward-based Hybrid Genetic Algorithm for Solving the Class Scheduling Problem. -- A Novel Multi-Criteria Approach Supporting Strong Sustainability Assessment. -- Enhancing Focused Ant Colony Optimization for Large-Scale Traveling Salesman Problems through Adaptive Parameter Tuning. -- Parallelized Population-based Multi-heuristic Approach for Solving RCPSP and MRCPSP Instances. -- A Collective Intelligence To Predict Stock Market Indices Applying An Optimized Hybrid Ensemble Learning Model. -- Deep Learning Techniques. -- Melanoma detection using CBR approach within a possibilistic framework. -- GANet - Learning tabular data using global attention. -- COVID-19 Detection based on Deep Features and SVM. -- Hybrid Convolutional Network Fusion: Enhanced Medical Image Classification with Dual-Pathway Learning from Raw and Enhanced Visual Features. -- Interpreting results of VGG-16 for COVID-19 diagnosis on CT images. -- A hybrid approach using 2D CNN and attention-based LSTM for Parkinson’s Disease Detection from video. -- Improved CNN Model Stability and Robustness with Video Frame Segmentation. -- Deep Learning for Cardiac Diseases Classification. -- Natural Language Processing. -- BABot: a Framework for the LLM-based Chatbot Supporting Business Analytics in e-Commerce. -- BioBERT for Multiple knowledge-based question expansion and biomedical extractive question answering. -- AMAMP: A Two-Phase Adaptive Multi-hop Attention Message Passing Mechanism For Logical Reasoning Machine Reading Comprehension. -- Enhancing Low-Resource NER via Knowledge Transfer from LLM. -- Efficient Argument Classification with Compact Language Models and ChatGPT-4 Refinements. -- Refining Natural Language Inferences using Cross-Document Structure Theory. -- Data Mining and Machine Learning. -- Intelligent Handling of Noise in Federated Learning with Co-training for Enhanced Diagnostic Precision. -- Detection and Classification of olive leaves diseases using machine learning algorithms. -- Investigation of Machine Learning and Deep Learning Approaches for Early PM2.5 Forecasting: A Case Study in Vietnam. -- Detection of candidate skills from job offers and comparison with ESCO database. -- Multi-objective and Randomly Distributed Fuzzy Logic-based Unequal Clustering in Heterogeneous Wireless Sensor Networks. -- nMITP-Miner: An efficient method for mining frequent maximal inter-transaction patterns. -- A heterogeneous ensemble of classifiers for sports betting: based on the English Premier League. -- The New K-Means Initialization Method. -- Efficiently discover multi-level maximal high-utility patterns from hierarchical databases.
520 _aThis two-volume set LNAI 14810-14811 constitutes the refereed proceedings of the 16th International Conference on Computational Collective Intelligence, ICCCI 2024, held in Leipzig, Germany, during September 9–11, 2024. The 59 revised full papers presented in these proceedings were carefully reviewed and selected from 234 submissions. They cover the following topics: Part I: Collective intelligence and collective decision-making; deep learning techniques; natural language processing; data mining and machine learning. Part II: Social networks and intelligent system; cybersecurity, blockchain technology, and internet of things; cooperative strategies for decision making and optimization; computational intelligence for digital content understanding; knowledge engineering and application for industry 4.0. .
650 0 _aArtificial intelligence.
_958441
650 0 _aComputer engineering.
650 0 _aComputer networks .
_960157
650 0 _aData structures (Computer science).
_966708
650 0 _aInformation theory.
_957783
650 0 _aComputer science.
_958552
650 1 4 _aArtificial Intelligence.
_958441
650 2 4 _aComputer Engineering and Networks.
650 2 4 _aComputer Communication Networks.
_965689
650 2 4 _aData Structures and Information Theory.
_966709
650 2 4 _aTheory of Computation.
_967552
700 1 _aNguyen, Ngoc Thanh.
_eeditor.
_0(orcid)0000-0002-3247-2948
_1https://orcid.org/0000-0002-3247-2948
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aFranczyk, Bogdan.
_eeditor.
_0(orcid)0000-0002-5740-2946
_1https://orcid.org/0000-0002-5740-2946
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_983836
700 1 _aLudwig, André.
_eeditor.
_0(orcid)0000-0002-0358-3470
_1https://orcid.org/0000-0002-0358-3470
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_983837
700 1 _aNúñez, Manuel.
_eeditor.
_0(orcid)0000-0001-9808-6401
_1https://orcid.org/0000-0001-9808-6401
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_983838
700 1 _aTreur, Jan.
_eeditor.
_0(orcid)0000-0003-2466-9158
_1https://orcid.org/0000-0003-2466-9158
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_983839
700 1 _aVossen, Gottfried.
_eeditor.
_0(orcid)0000-0002-1478-2838
_1https://orcid.org/0000-0002-1478-2838
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_983840
700 1 _aKozierkiewicz, Adrianna.
_eeditor.
_0(orcid)0000-0001-8445-3979
_1https://orcid.org/0000-0001-8445-3979
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_983841
710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783031708152
776 0 8 _iPrinted edition:
_z9783031708176
830 0 _aLecture Notes in Artificial Intelligence,
_x2945-9141 ;
_v14810
856 4 0 _uhttps://doi.org/10.1007/978-3-031-70816-9
912 _aZDB-2-SCS
912 _aZDB-2-SXCS
912 _aZDB-2-LNC
999 _c63165
_d63165