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ORCID29th CIKM 2020: Virtual Event, Ireland - Workshops
- Stefan Conrad, Ilaria Tiddi:
Proceedings of the CIKM 2020 Workshops co-located with 29th ACM International Conference on Information and Knowledge Management (CIKM 2020), Galway, Ireland, October 19-23, 2020. CEUR Workshop Proceedings 2699, CEUR-WS.org 2020
3rd Workshop Advances in Interpretable Machine Learning and Artificial Intelligence (AIMLAI)
- Amit Sangroya, Mouli Rastogi, C. Anantaram, Lovekesh Vig:
Guided-LIME: Structured Sampling based Hybrid Approach towards Explaining Blackbox Machine Learning Models. - Dmitry Kazhdan, Botty Dimanov
, Mateja Jamnik, Pietro Liò, Adrian Weller:
Now You See Me (CME): Concept-based Model Extraction. - Giorgio Visani, Enrico Bagli, Federico Chesani:
OptiLIME: Optimized LIME Explanations for Diagnostic Computer Algorithms. - Xiao Liu, Junpeng Wang:
LatentVis: Investigating and Comparing Variational Auto-Encoders via Their Latent Space.
Workshop on Combining Symbolic and Sub-symbolic Methods and their Applications (CSSA)
- Andreea Iana, Heiko Paulheim:
More is not Always Better: The Negative Impact of A-box Materialization on RDF2vec Knowledge Graph Embeddings. - Eleni Ilkou, Maria Koutraki:
Symbolic Vs Sub-symbolic AI Methods: Friends or Enemies? - Xinran Yang, Ilaria Tiddi:
Creative Storytelling with Language Models and Knowledge Graphs. - Huan Zhao, Lanning Wei, Quanming Yao:
Simplifying Architecture Search for Graph Neural Network. - Danh Le Phuoc, Thomas Eiter:
An Adaptive Semantic Stream Reasoning Framework for Deep Neural Networks. - Muhammad Jaleed Khan, Edward Curry:
Neuro-symbolic Visual Reasoning for Multimedia Event Processing: Overview, Prospects and Challenges. - Tomas Martin, Petko Valtchev, Abdoulaye Baniré Diallo:
Leveraging a Domain Ontology in (Neural) Learning from Heterogeneous Data. - Yunpu Ma, Zhen Han, Volker Tresp:
Learning with Temporal Knowledge Graphs. - David Bayani:
WalkingTime: Dynamic Graph Embedding Using Temporal-Topological Flows.
3rd International Workshop on EntitY Retrieval and lEarning (EYRE)
- Charini Nanayakkara, Peter Christen, Thilina Ranbaduge:
An Anonymiser Tool for Sensitive Graph Data. - Anastasiia Grishina, Milosh Stolikj, Qi Gao, Milan Petkovic:
Improving Spare Part Search for Maintenance Services using Topic Modelling. - Qingxia Liu, Gong Cheng, Yuzhong Qu:
ESSTER at the EYRE 2020 Entity Summarization Task.
First International Workshop on Investigating Learning During (Web) Search (IWILDS)
- Junaid Ahmed Ghauri, Sherzod Hakimov, Ralph Ewerth:
Classification of Important Segments in Educational Videos using Multimodal Features. - Sandrine Moschetti-Rome, Franck Amadieu, Cécile van de Leemput:
Information Retrieval from Hypermedia, with a Navigable Overview, at the End of Primary School. - Catherine L. Smith, Soo Young Rieh:
The Other Side of the Same Coin: From Learning-centric Search Systems to Search-centric Learning Systems. - Chang Liu, Xiaoxuan Song, Hanrui Liu, Nicholas J. Belkin:
Modeling Knowledge Change Behaviors in Learning-related Tasks. - Tetiana Tolmachova, Eleni Ilkou, Luyan Xu:
Working Towards the Ideal Search History Interface. - Cheyenne Dosso, Aline Chevalier, Lynda Tamine:
How to Support Search Activity of Users Without Prior Domain Knowledge When They are Solving Learning Tasks? - Roberto I. González-Ibáñez, Daniel Gacitúa, Gonzalo Martínez-Ramírez, Jacqueline Köhler, Eero Sormunen, Carita Kiili, Mirjamaija Mikkilä-Erdmann, Norbert Erdmann, Marja Vauras, Paavo H. T. Leppänen:
Assessing the Impact of an Online Inquiry Teaching Intervention on Sixth Graders' Search Performance. - Nilavra Bhattacharya, Jacek Gwizdka:
Visualizing and Quantifying Vocabulary Learning During Search. - Sihang Qiu, Alessandro Bozzon, Ujwal Gadiraju:
Conversational Interfaces for Search As Learning. - Paul Libbrecht, Thierry Declerck, Tim Schlippe, Thomas Mandl, Daniel Schiffner:
NLP for Student and Teacher: Concept for an AI based Information Literacy Tutoring System. - Roberto I. González-Ibáñez, Luz Chourio-Acevedo, María Escobar-Macaya:
Performance Prediction of Elementary School Students in Search Tasks.
3rd Workshop on Knowledge-driven Analytics ans Systems Impacting Human Quality of Life (KDAH-CIKM)
- Arijit Ukil, Antonio J. Jara, Leandro Marín:
On Analyzing the Household Energy Consumption Detection for Citizen Behavioral Analysis Carbon Footprint Awareness by Deep Residual Networks. - Gianni Fenu, Roberta Galici, Mirko Marras:
Evaluation Framework for Context-aware Speaker Recognition in Noisy Smart Living Environments. - Ayush Tripathi, Sunil Kumar Kopparapu:
CNN based Parkinson's Disease Assessment using Empirical Mode Decomposition. - Snehasis Banerjee, Vivek Chandel, Avik Ghose:
Graph Analytics on Proximity Data to Fight Contagion. - Valentyn Melnychuk, Evgeniy Faerman, Ilja Manakov, Thomas Seidl:
Matching the Clinical Reality: Accurate OCT-Based Diagnosis From Few Labels. - Ramesh Balaji, Sio Keow Evelyn Tan, Srinivasa Raghavan Venkatachari, Hwee Pink Tan:
Frailty Detection using Presence in a Room.
5th International Workshop on Mining Actionable Insights from Social Networks (MAISoN)
- Lin Tian, Xiuzhen Zhang, Jey Han Lau:
#DemocratsAreDestroyingAmerica: Rumour Analysis on Twitter During COVID-19. - Kaize Ding, Kai Shu, Yichuan Li, Amrita Bhattacharjee, Huan Liu:
Challenges in Combating COVID-19 Infodemic - Data, Tools, and Ethics. - Yavuz Selim Kartal, Mücahid Kutlu, Busra Guvenen:
Too Many Claims to Fact-Check: Prioritizing Political Claims Based on Check-Worthiness. - Amila Silva, Yi Han, Ling Luo, Shanika Karunasekera, Christopher Leckie:
Embedding Partial Propagation Network for Fake News Early Detection. - Bhavtosh Rath, Jaideep Srivastava:
Epidemiology Inspired Framework for Fake News Mitigationin Social Networks. - Rayan Suryadikara, Suzan Verberne, Frank W. Takes:
False News Classification and Dissemination: The case of the 2019 Indonesian Presidential Election. - Thomas Marcoux, Esther Mead, Nitin Agarwal:
The Ebb and Flow of the COVID-19 Misinformation Themes. - Sultan Alshamrani, Mohammed Abuhamad, Ahmed Abusnaina, David Mohaisen:
Investigating Online Toxicity in Users Interactions with the Mainstream Media Channels on YouTube. - Shahan Ali Memon, Kathleen M. Carley:
Characterizing COVID-19 Misinformation Communities Using a Novel Twitter Dataset.
Workshop on Semantic and Knowledge Graph Advances for Journalism (SKG4J)
- Mechket Emna Mahouachi, Fabian M. Suchanek:
Extracting Complex Information from Natural Language Text: A Survey. - Tareq Al-Moslmi, Marc Gallofré Ocaña:
Lifting News into a Journalistic Knowledge Platform. - Marc Gallofré Ocaña, Andreas L. Opdahl:
Challenges and Opportunities for Journalistic Knowledge Platforms. - Marc Gallofré Ocaña, Tareq Al-Moslmi, Andreas L. Opdahl:
Data Privacy in Journalistic Knowledge Platforms.
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