Proceedings of the CIKM 2022 Workshops co-located with 31st ACM International Conference on Information and Knowledge Management (CIKM 2022), Atlanta, USA, October 17-21, 2022
Georgios Drakopoulos, Eleanna Kafeza (Editors)
- Anthology ID:
- 2022.cikm_workshop-2022w
- Year:
- 2022
- Venue:
- cikm_workshop
- Publisher:
- CEUR-WS.org
- URL:
- https://ceur-ws.org/Vol-3318
- DBLP:
- conf/cikm/2022w
A Child-Friendly Approach to Spoken Conversational Search
Thomas Beelen
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Khiet P. Truong
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Roeland Ordelman
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Ella Velner
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Vanessa Evers
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Theo Huibers
A human-ML collaboration framework for improving video content reviews
Meghana Deodhar
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Xiao Ma
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Yixin Cai
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Alex Koes
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Alex Beutel
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Jilin Chen
Adaptive Re-Ranking as an Information-Seeking Agent
Sean MacAvaney
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Nicola Tonellotto
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Craig Macdonald
Bias mitigation in recommender systems to improve diversity
Du Cheng
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Doruk Kilitçioglu
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Serdar Kadioglu
Conversational Information Retrieval using Knowledge Graphs
Pruthvi Raj Venkatesh
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K. Chaitanya
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Rishu Kumar
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P. Radha Krishna
Creating a framework for a Benchmark Religion Dataset
Deepa Muralidhar
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Ashwin Ashok
Deepfake Audio Detection Via Feature Engineering And Machine Learning
Farkhund Iqbal
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Ahmed Abbasi
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Abdul Rehman Javed
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Zunera Jalil
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Jamal Al-Karaki
Developing a noise-aware AI system for change risk assessment with minimal human intervention
Subhadip Paul
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Anirban Chatterjee
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Binay Gupta
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Kunal Banerjee
Diversity enhancement for collaborative filtering recommendation
Yankai Liu
Estimating The MBTI Of Twitter Accounts With Graph Neural Networks Over Neo4j
Georgios Drakopoulos
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Eleanna Kafeza
EvalRS: a rounded evaluation of recommender systems
Jacopo Tagliabue
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Federico Bianchi
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Tobias Schnabel
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Giuseppe Attanasio
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Ciro Greco
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Gabriel de Souza P. Moreira
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Patrick John Chia
Explainability for Misinformation in Financial Statements
Sushodhan Vaishampayan
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Akshada Shinde
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Aditi Pawde
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Sachin Pawar
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Manoj Apte
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Girish Keshav Palshikar
Explainer Divergence Scores (EDS): Some Post-Hoc Explanations May be Effective for Detecting Unknown Spurious Correlations
Shea Cardozo
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Gabriel Islas Montero
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Dmitry Kazhdan
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Botty Dimanov
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Maleakhi A. Wijaya
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Mateja Jamnik
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Pietro Liò
Explaining Convolutional Neural Networks by Tagging Filters
Anna Nguyen
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Daniel Hagenmayer
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Tobias Weller
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Michael Färber
Extreme Learning Machines For Efficient Speech Emotion Estimation In Julia
Georgios Drakopoulos
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Phivos Mylonas
Fast optimization of weighted sparse decision trees for use in optimal treatment regimes and optimal policy design
Ali Behrouz
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Mathias Lécuyer
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Cynthia Rudin
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Mango I. Seltzer
Finding components of a good accuracy with XAI!
Benjamin Chamand
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Olivier Risser-Maroix
From fat droplets to floating forests: cross-domain transfer learning using a PatchGAN-based segmentation model
Kameswara Bharadwaj Mantha
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Ramanakumar Sankar
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Yuping Zheng
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Lucy Fortson
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Thomas Pengo
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Douglas Mashek
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Mark Sanders
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Trace Christensen
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Jeffrey Salisbury
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Laura Trouille
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Jarrett E. K. Byrnes
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Isaac Rosenthal
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Henry Houskeeper
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Kyle Cavanaugh
Globally local and fast explanations of t-SNE-like nonlinear embeddings
Pierre Lambert
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Rebecca Marion
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Julien Albert
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Emmanuel Jean
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Sacha Corbugy
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Cyril de Bodt
Graph Neural Networks For Affective Social Media: A Comprehensive Overview
Michail Karavokyris
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Spyros Sioutas
HITL IRL: 12 Reflections on Expertise Finding and Engagement for a Large Data Curation Team
Brendan Coon
Human-AI Collaboration for Improving the Identification of Cars for Autonomous Driving
Edwin Gamboa
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Alejandro Libreros
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Matthias Hirth
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Dan Dubiner
Human-Robot Interactions Using Affective Computing
Anthony Tzes
Interpretability in Activation Space Analysis of Transformers: A Focused Survey
Soniya Vijayakumar
Item-based variational auto-encoder for fair music recommendation
Jinhyeok Park
|
Dain Kim
|
Dongwoo Kim
Knowledge Management System with NLP-Assisted Annotations: A Brief Survey and Outlook
Baihan Lin
Offensive text detection across languages and datasets using rule-based and hybrid methods
Kinga Gémes
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Ádám Kovács
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Gábor Recski
Prediction of Mobile Coupon Use: Data Analytics of Influencing Factors
Shiqui Liu
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Dickson K. W. Chiu
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Kevin K. W. Ho
Privacy Amplification for Episodic Training Methods
Vandy Tombs
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Olivera Kotevska
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Steven Young
Privacy and transparency in graph machine learning: A unified perspective
Megha Kosla
Privacy policy robustness to reverse engineering
A. Gilad Kusne
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Olivera Kotevska
RecFormer: personalized temporal-aware transformer for fair music recommendation
Wei-Yao Wang
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Wei-Wei Du
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Wen-Chih Peng
STL-DP: Differentially Private Time Series Exploring Decomposition and Compression Methods
Kyunghee Kim
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Minha Kim
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Simon Woo
Shortcomings of Interpretability Taxonomies for Deep Neural Networks
Anders Søgaard
Towards A Real-Time Emergency Response Model For Connected And Autonomous Vehicles
Yen-Hung Liu
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Otávio de Paula Albuquerque
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Patrick C. K. Hung
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Hossam A. Gabbar
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Marcelo Fantinato
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Farkhund Iqbal
Towards Mixed-Initiative Conversational Information Seeking
Hamed Zamani
Towards Proactive Information Retrieval in Noisy Text with Wikipedia Concepts
Tabish Ahmed
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Sahan Bulathwela
Towards a theoretical formalization of conversational recommendation
Tommaso Di Noia
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Francesco Maria Donini
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Dietmar Jannach
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Fedelucio Narducci
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Claudio Pomo
Track2Vec: fairness music recommendation with a GPU-free customizable-driven framework
Wei-Wei Du
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Wei-Yao Wang
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Wen-Chih Peng
Triplet losses-based matrix factorization for robust recommendations
Flavio Giobergia
Want robust explanations? Get smoother predictions first
Deddy Jobson
k-Means SubClustering: A Differentially Private Algorithm with Improved Clustering Quality
Devvrat Joshi
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Janvi Thakkar