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ORCID30th CIKM 2022: Atlanta, GA, USA - Workshops
- Georgios Drakopoulos, Eleanna Kafeza:
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. CEUR Workshop Proceedings 3318, CEUR-WS.org 2023
The 2nd International Workshop On Transforms In Behavioral and Affective Computing (THECOG)
- Anthony Tzes:
Human-Robot Interactions Using Affective Computing. - Georgios Drakopoulos, Eleanna Kafeza:
Estimating The MBTI Of Twitter Accounts With Graph Neural Networks Over Neo4j. - Michail Karavokyris, Spyros Sioutas:
Graph Neural Networks For Affective Social Media: A Comprehensive Overview. - Yen-Hung Liu, Otávio de Paula Albuquerque, Patrick C. K. Hung, Hossam A. Gabbar, Marcelo Fantinato, Farkhund Iqbal:
Towards A Real-Time Emergency Response Model For Connected And Autonomous Vehicles. - Farkhund Iqbal, Ahmed Abbasi, Abdul Rehman Javed, Zunera Jalil, Jamal N. Al-Karaki:
Deepfake Audio Detection Via Feature Engineering And Machine Learning. - Georgios Drakopoulos, Phivos Mylonas:
Extreme Learning Machines For Efficient Speech Emotion Estimation In Julia. - Shiqui Liu, Dickson K. W. Chiu, Kevin K. W. Ho:
Prediction of Mobile Coupon Use: Data Analytics of Influencing Factors.
Analyticup - EvalRS: A Rounded Evaluation Of Recommender Systems (EVALRS)
- Jacopo Tagliabue, Federico Bianchi, Tobias Schnabel, Giuseppe Attanasio, Ciro Greco, Gabriel de Souza P. Moreira, Patrick John Chia:
EvalRS: a rounded evaluation of recommender systems. - Du Cheng, Doruk Kilitçioglu, Serdar Kadioglu:
Bias mitigation in recommender systems to improve diversity. - Yankai Liu:
Diversity enhancement for collaborative filtering recommendation. - Jinhyeok Park, Dain Kim, Dongwoo Kim:
Item-based variational auto-encoder for fair music recommendation. - Wei-Yao Wang, Wei-Wei Du, Wen-Chih Peng:
RecFormer: personalized temporal-aware transformer for fair music recommendation. - Wei-Wei Du, Wei-Yao Wang, Wen-Chih Peng:
Track2Vec: fairness music recommendation with a GPU-free customizable-driven framework. - Flavio Giobergia:
Triplet losses-based matrix factorization for robust recommendations.
The 1st International Workshop on Privacy Algorithms in Systems (PAS)
- Devvrat Joshi, Janvi Thakkar:
k-Means SubClustering: A Differentially Private Algorithm with Improved Clustering Quality. - Vandy Tombs, Olivera Kotevska, Steven Young:
Privacy Amplification for Episodic Training Methods. - A. Gilad Kusne, Olivera Kotevska:
Privacy policy robustness to reverse engineering. - Kyunghee Kim, Minha Kim, Simon S. Woo:
STL-DP: Differentially Private Time Series Exploring Decomposition and Compression Methods.
Workshop on Human-in-the-loop Data Curation (HIL-DC)
- Brendan Coon:
HITL IRL: 12 Reflections on Expertise Finding and Engagement for a Large Data Curation Team. - Subhadip Paul, Anirban Chatterjee, Binay Gupta, Kunal Banerjee:
Developing a noise-aware AI system for change risk assessment with minimal human intervention. - Edwin Gamboa, Alejandro Libreros, Matthias Hirth, Dan Dubiner:
Human-AI Collaboration for Improving the Identification of Cars for Autonomous Driving. - Kameswara Bharadwaj Mantha, Ramanakumar Sankar, Yuping Zheng, Lucy Fortson, Thomas Pengo, Douglas Mashek, Mark Sanders, Trace Christensen, Jeffrey Salisbury, Laura Trouille, Jarrett E. K. Byrnes, Isaac Rosenthal, Henry Houskeeper, Kyle Cavanaugh:
From fat droplets to floating forests: cross-domain transfer learning using a PatchGAN-based segmentation model. - Meghana Deodhar, Xiao Ma, Yixin Cai, Alex Koes, Alex Beutel, Jilin Chen:
A human-ML collaboration framework for improving video content reviews. - Deepa Muralidhar, Ashwin Ashok:
Creating a framework for a Benchmark Religion Dataset. - Baihan Lin:
Knowledge Management System with NLP-Assisted Annotations: A Brief Survey and Outlook.
Advances in Interpretable Machine Learning and Artificial Intelligence (AIMLAI)
- Shea Cardozo, Gabriel Islas Montero, Dmitry Kazhdan, Botty Dimanov, Maleakhi A. Wijaya, Mateja Jamnik, Pietro Liò:
Explainer Divergence Scores (EDS): Some Post-Hoc Explanations May be Effective for Detecting Unknown Spurious Correlations. - Soniya Vijayakumar:
Interpretability in Activation Space Analysis of Transformers: A Focused Survey. - Anders Søgaard:
Shortcomings of Interpretability Taxonomies for Deep Neural Networks. - Deddy Jobson:
Want robust explanations? Get smoother predictions first. - Anna Nguyen, Daniel Hagenmayer, Tobias Weller, Michael Färber:
Explaining Convolutional Neural Networks by Tagging Filters. - Kinga Gémes
, Ádám Kovács, Gábor Recski:
Offensive text detection across languages and datasets using rule-based and hybrid methods. - Pierre Lambert, Rebecca Marion, Julien Albert, Emmanuel Jean, Sacha Corbugy, Cyril de Bodt:
Globally local and fast explanations of t-SNE-like nonlinear embeddings. - Sushodhan Vaishampayan, Akshada Shinde, Aditi Pawde, Sachin Pawar, Manoj Apte, Girish Keshav Palshikar:
Explainability for Misinformation in Financial Statements. - Benjamin Chamand, Olivier Risser-Maroix:
Finding components of a good accuracy with XAI! - Ali Behrouz, Mathias Lécuyer, Cynthia Rudin, Mango I. Seltzer:
Fast optimization of weighted sparse decision trees for use in optimal treatment regimes and optimal policy design. - Megha Kosla:
Privacy and transparency in graph machine learning: A unified perspective.
The 1st Workshop On Proactive And Agent-Supported Information Retrieval (PASIR)
- Hamed Zamani:
Towards Mixed-Initiative Conversational Information Seeking. - Pruthvi Raj Venkatesh, K. Chaitanya, Rishu Kumar, P. Radha Krishna:
Conversational Information Retrieval using Knowledge Graphs. - Sean MacAvaney, Nicola Tonellotto, Craig Macdonald:
Adaptive Re-Ranking as an Information-Seeking Agent. - Tabish Ahmed, Sahan Bulathwela:
Towards Proactive Information Retrieval in Noisy Text with Wikipedia Concepts.
The 2nd Workshop on Mixed-Initiative Conversational Systems (MICROS)
- Thomas Beelen, Khiet P. Truong, Roeland Ordelman, Ella Velner, Vanessa Evers, Theo Huibers:
A Child-Friendly Approach to Spoken Conversational Search. - Tommaso Di Noia, Francesco Maria Donini, Dietmar Jannach, Fedelucio Narducci, Claudio Pomo:
Towards a theoretical formalization of conversational recommendation.
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