Christina Lioma

Christina Lioma

Københavns Universitet

H-index: 28

Europe-Denmark

About Christina Lioma

Christina Lioma, With an exceptional h-index of 28 and a recent h-index of 23 (since 2020), a distinguished researcher at Københavns Universitet, specializes in the field of Machine Learning, Information Retrieval, NLP, Artificial Intelligence, Recommender Systems.

His recent articles reflect a diverse array of research interests and contributions to the field:

Language Generation from Brain Recordings

Recommending Target Actions Outside Sessions in the Data-poor Insurance Domain

Query Augmentation by Decoding Semantics from Brain Signals

Investigating the Impact of Model Instability on Explanations and Uncertainty

Digital-analog hybrid matrix multiplication processor for optical neural networks

Adapting pre-trained language models for quantum natural language processing

Language generation from human brain activities

Evaluation Measures of Individual Item Fairness for Recommender Systems: A Critical Study

Christina Lioma Information

University

Position

Full Professor in Computer Science Head of Machine Learning Section

Citations(all)

3582

Citations(since 2020)

2359

Cited By

2627

hIndex(all)

28

hIndex(since 2020)

23

i10Index(all)

60

i10Index(since 2020)

38

Email

University Profile Page

Københavns Universitet

Google Scholar

View Google Scholar Profile

Christina Lioma Skills & Research Interests

Machine Learning

Information Retrieval

NLP

Artificial Intelligence

Recommender Systems

Top articles of Christina Lioma

Title

Journal

Author(s)

Publication Date

Language Generation from Brain Recordings

Ziyi Ye

Qingyao Ai

Yiqun Liu

Maarten de Rijke

Min Zhang

...

2024/3/12

Recommending Target Actions Outside Sessions in the Data-poor Insurance Domain

ACM Transactions on Recommender Systems

Simone Borg Bruun

Christina Lioma

Maria Maistro

2024/3/1

Query Augmentation by Decoding Semantics from Brain Signals

arXiv preprint arXiv:2402.15708

Ziyi Ye

Jingtao Zhan

Qingyao Ai

Yiqun Liu

Maarten de Rijke

...

2024/2

Investigating the Impact of Model Instability on Explanations and Uncertainty

arXiv preprint arXiv:2402.13006

Sara Vera Marjanović

Isabelle Augenstein

Christina Lioma

2024/2/20

Digital-analog hybrid matrix multiplication processor for optical neural networks

arXiv preprint arXiv:2401.15061

Xiansong Meng

Deming Kong

Kwangwoong Kim

Qiuchi Li

Po Dong

...

2024/1/26

Adapting pre-trained language models for quantum natural language processing

arXiv preprint arXiv:2302.13812

Qiuchi Li

Benyou Wang

Yudong Zhu

Christina Lioma

Qun Liu

2023/2/24

Language generation from human brain activities

arXiv preprint arXiv:2311.09889

Ziyi Ye

Qingyao Ai

Yiqun Liu

Min Zhang

Christina Lioma

...

2023/11/16

Evaluation Measures of Individual Item Fairness for Recommender Systems: A Critical Study

ACM Transactions on Recommender Systems

Theresia Veronika Rampisela

Maria Maistro

Tuukka Ruotsalo

Christina Lioma

2023/11/2

Faithfulness tests for natural language explanations

ACL 2023

Pepa Atanasova

Oana-Maria Camburu

Christina Lioma

Thomas Lukasiewicz

Jakob Grue Simonsen

...

2023/5/29

Joint Extraction and Classification of Danish Competences for Job Matching

Qiuchi Li

Christina Lioma

2023/3/17

Graph-Based Recommendation for Sparse and Heterogeneous User Interactions

Simone Borg Bruun

Kacper Kenji Leśniak

Mirko Biasini

Vittorio Carmignani

Panagiotis Filianos

...

2023/3/17

Fact checking with insufficient evidence

Transactions of the Association for Computational Linguistics (TACL)

Pepa Atanasova

Jakob Grue Simonsen

Christina Lioma

Isabelle Augenstein

2022

Beyond emotion: A multi-modal dataset for human desire understanding

Ao Jia

Yu He

Yazhou Zhang

Sagar Uprety

Dawei Song

...

2022/7

Template-based Recruitment Email Generation For Job Recommendation

arXiv preprint arXiv:2212.02885

Qiuchi Li

Christina Lioma

2022/12/6

Diagnostics-guided explanation generation

AAAI 2022

Pepa Atanasova

Jakob Grue Simonsen

Christina Lioma

Isabelle Augenstein

2022

Template-based Contact Email Generation for Job Recommendation

Qiuchi Li

Christina Lioma

2022/12

Complex-valued Neural Network-based Quantum Language Models

ACM Transactions on Information Systems (TOIS)

Peng Zhang

Wenjie Hui

Benyou Wang

Donghao Zhao

Dawei Song

...

2022/3/10

Det er menneskeligt at fejle–derfor gør teknologier det også: KOMMENTAR: Algoritmer tilegner sig ofte fejl, baseret på skævheder i de input, de trænes ud fra. Løsningen er …

Videnskab. dk

Sine Nørholm Just

Christina Lioma

2022/9/23

Learning recommendations from user actions in the item-poor insurance domain

Simone Borg Bruun

Maria Maistro

Christina Lioma

2022/9/18

Quantum-inspired multimodal fusion for video sentiment analysis

Information Fusion

Qiuchi Li

Dimitris Gkoumas

Christina Lioma

Massimo Melucci

2021/1/1

See List of Professors in Christina Lioma University(Københavns Universitet)