Search

Publications ITE

Publications by ITE researchers registered in DiVA, which is Halmstad University’s online academic archive for scientific publishing, sorted after type of publication.

  • Article, review/survey
  • Oss Boll, Heloísa; Amirahmadi, Ali; Ghazani, Mirfarid Musavian; Ourique de Morais, Wagner; Pignaton de Freitas, Edison; Soliman, Amira; Etminani, Farzaneh; Byttner, Stefan; Recamonde-Mendoza, Mariana (2024).
    Graph neural networks for clinical risk prediction based on electronic health records : A survey. Journal of Biomedical Informatics, 151.

    View record in DiVA DOI: 10.1016/j.jbi.2024.104616

  • Vettoruzzo, Anna; Bouguelia, Mohamed-Rafik; Vanschoren, Joaquin; Rögnvaldsson, Thorsteinn; Santosh, KC (2024).
    Advances and Challenges in Meta-Learning : A Technical Review. IEEE Transactions on Pattern Analysis and Machine Intelligence.

    View record in DiVA DOI: 10.1109/TPAMI.2024.3357847

  • Ning, Enhao; Wang, Changshuo; Zhang, Huang; Ning, Xin; Tiwari, Prayag (2024).
    Occluded person re-identification with deep learning : A survey and perspectives. Expert systems with applications, 239.

    View record in DiVA DOI: 10.1016/j.eswa.2023.122419

  • Article in journal
  • Ekelund, Ulf; Ohlsson, Bodil; Melander, Olle; Björk, Jonas; Ohlsson, Mattias; Forberg, Jakob Lundager; de Capretz, Pontus Olsson; Nyström, Axel; Björkelund, Anders (2024).
    The skåne emergency medicine (SEM) cohort. Scandinavian Journal of Trauma, Resuscitation and Emergency Medicine, 32 (1), pp. 1 - 8.

    View record in DiVA DOI: 10.1186/s13049-024-01206-0

  • Baraldi, Enrico; Strömsten, Torkel (2024).
    Product development the IKEA way – The role of target costing as a framing device to configure and combine resources in networks. Industrial Marketing Management, 119, pp. 206 - 217. (In press)

    View record in DiVA DOI: 10.1016/j.indmarman.2024.04.012

  • Nair, Monika; Lundgren, Lina E; Soliman, Amira; Dryselius, Petra; Fogelberg, Ebba; Petersson, Marcus; Hamed, Omar; Triantafyllou, Miltiadis; Nygren, Jens M. (2024).
    Machine Learning Model for Readmission Prediction of Patients With Heart Failure Based on Electronic Health Records : Protocol for a Quasi-Experimental Study for Impact Assessment. JMIR Research Protocols, 13 (1).

    View record in DiVA DOI: 10.2196/52744

  • Shiomi, Masahiro; Sakamoto, Daisuke; Iio, Takamasa; Cooney, Martin; Baba, Jun; Kimoto, Mitsuhiko; Tian, Leimin (2024).
    Special issue on social interaction with more than one robot. Advanced Robotics, 38 (7), pp. 439 - 439.

    View record in DiVA DOI: 10.1080/01691864.2024.2330128

  • Agvall, Björn; Jonasson, Junmei Miao; Galozy, Alexander; Halling, Anders (2024).
    Factors influencing hospitalization or emergency department visits and mortality in type 2 diabetes following the onset of new cardiovascular diagnoses in a population-based study. Cardiovascular Diabetology, 23 (1).

    View record in DiVA DOI: 10.1186/s12933-024-02211-4

  • Saberi-Movahed, Farid; Biswas, Bitasta; Tiwari, Prayag; Lehmann, Jens; Vahdati, Sahar (2024).
    Deep Nonnegative Matrix Factorization with Joint Global and Local Structure Preservation. Expert systems with applications, 249 (B), pp. 1 - 19. (In press)

    View record in DiVA DOI: 10.1016/j.eswa.2024.123645

  • Picazo-Sanchez, Pablo; Ortiz-Martin, Lara (2024).
    Analysing the impact of ChatGPT in research. Applied intelligence (Boston).

    View record in DiVA DOI: 10.1007/s10489-024-05298-0

  • Wang, Gang; Zhou, Mingliang; Ning, Xin; Tiwari, Prayag; Zhu, Haobo; Yang, Guang; Yap, Choon Hwai (2024).
    US2Mask : Image-to-mask generation learning via a conditional GAN for cardiac ultrasound image segmentation. Computers in Biology and Medicine, 172, pp. 1 - 13.

    View record in DiVA DOI: 10.1016/j.compbiomed.2024.108282

  • Qu, Zhiguo; Chen, Zhixiao; Dehdashti, Shahram; Tiwari, Prayag (2024).
    QFSM : A Novel Quantum Federated Learning Algorithm for Speech Emotion Recognition With Minimal Gated Unit in 5G IoV. IEEE Transactions on Intelligent Vehicles.

    View record in DiVA DOI: 10.1109/TIV.2024.3370398

  • Abbas, Antragama Ewa; van Velzen, Thomas; Ofe, Hosea; van de Kaa, Geerten; Zuiderwijk, Anneke; de Reuver, Mark (2024).
    Beyond control over data : Conceptualizing data sovereignty from a social contract perspective. Electronic Markets, 34.

    View record in DiVA DOI: 10.1007/s12525-024-00695-2

  • Inceoglu, Arda; Aksoy, Eren; Sariel, Sanem (2024).
    Multimodal Detection and Classification of Robot Manipulation Failures. IEEE Robotics and Automation Letters, 9 (2), pp. 1396 - 1403.

    View record in DiVA DOI: 10.1109/lra.2023.3346270

  • Cortinhal, Tiago; Aksoy, Eren (2024).
    Depth- and semantics-aware multi-modal domain translation : Generating 3D panoramic color images from LiDAR point clouds. Robotics and Autonomous Systems, 171, pp. 1 - 9.

    View record in DiVA DOI: 10.1016/j.robot.2023.104583

  • Vettoruzzo, Anna; Bouguelia, Mohamed-Rafik; Rögnvaldsson, Thorsteinn (2024).
    Multimodal meta-learning through meta-learned task representations. Neural Computing & Applications.

    View record in DiVA DOI: 10.1007/s00521-024-09540-1

  • Zhang, Yiyang; Sun, Le; Gupta, Deepak; Ning, Xin; Tiwari, Prayag (2024).
    DCNet : A Self-supervised EEG Classification Framework for Improving Cognitive Computing-enabled Smart Healthcare. IEEE journal of biomedical and health informatics, pp. 1 - 9.

    View record in DiVA DOI: 10.1109/JBHI.2024.3357168

  • Ebbesson, Esbjörn; Lund, Jesper; Smith, Rachel Charlotte (2024).
    Dynamics of sustained co-design in Urban Living Labs. CoDesign, pp. 1 - 18.

    View record in DiVA

  • Ran, Hang; Li, Weijun; Li, Lusi; Tian, Songsong; Ning, Xin; Tiwari, Prayag (2024).
    Learning optimal inter-class margin adaptively for few-shot class-incremental learning via neural collapse-based meta-learning. Information Processing & Management, 61 (3). (In press)

    View record in DiVA DOI: 10.1016/j.ipm.2024.103664

  • Amador Molina, Oscar; Calderon, Maria; Urueña, Manuel; Soto, Ignacio (2024).
    Evaluation of Greedy and CBF for ETSI non-area GeoNetworking : The impact of DCC. Computer Communications, 218, pp. 114 - 130. (In press)

    View record in DiVA DOI: 10.1016/j.comcom.2024.02.009

  • Lou, Chuyue; Atoui, M. Amine (2024).
    Unknown Health States Recognition with Collective-Decision-Based Deep Learning Networks in Predictive Maintenance Applications. Mathematics, 12 (1).

    View record in DiVA DOI: 10.3390/math12010089

  • Etminani, Farzaneh; Sandgren, Emma; Holm, Johan; Magnusson, Peter; Modica, Angelo; Moberg, Karin; Davidsson, Thomas; Stalpe, Linda; Kiflemariam, Sara; Younan, Ninia; Parikh, Purvee; Wadhwa, Manish; Sundin, Anna; Engdahl, Johan (2024).
    Randomised, siteless study to compare systematic atrial fibrillation screening using enrichment by a risk prediction model with standard care in a Swedish population aged ≥ 65 years : CONSIDERING-AF study design. BMJ Open, 14 (1).

    View record in DiVA DOI: 10.1136/bmjopen-2023-080639

  • Nyström, Axel; Olsson de Capretz, Pontus; Björkelund, Anders; Lundager Forberg, Jakob; Ohlsson, Mattias; Björk, Jonas; Ekelund, Ulf (2024).
    Prior electrocardiograms not useful for machine learning predictions of major adverse cardiac events in emergency department chest pain patients. Journal of Electrocardiology, 82, pp. 42 - 51.

    View record in DiVA DOI: 10.1016/j.jelectrocard.2023.11.002

  • Vettoruzzo, Anna; Bouguelia, Mohamed-Rafik; Rögnvaldsson, Thorsteinn (2024).
    Meta-learning for efficient unsupervised domain adaptation. Neurocomputing, 574.

    View record in DiVA DOI: 10.1016/j.neucom.2024.127264

  • Liu, Junkai; Guan, Shixuan; Zou, Quan; Wu, Hongjie; Tiwari, Prayag; Ding, Yijie (2024).
    AMDGT : Attention aware multi-modal fusion using a dual graph transformer for drug–disease associations prediction. Knowledge-Based Systems, 284.

    View record in DiVA DOI: 10.1016/j.knosys.2023.111329

  • Wu, Hongjie; Liu, Junkai; Jiang, Tengsheng; Zou, Quan; Qi, Shujie; Cui, Zhiming; Tiwari, Prayag; Ding, Yijie (2024).
    AttentionMGT-DTA : A multi-modal drug-target affinity prediction using graph transformer and attention mechanism. Neural Networks, 169, pp. 623 - 636.

    View record in DiVA DOI: 10.1016/j.neunet.2023.11.018

  • Qu, Zhiguo; Meng, Yunyi; Muhammad, Ghulam; Tiwari, Prayag (2024).
    QMFND : A quantum multimodal fusion-based fake news detection model for social media. Information Fusion, 104.

    View record in DiVA DOI: 10.1016/j.inffus.2023.102172

  • Han, Ridong; Peng, Tao; Wang, Benyou; Liu, Lu; Tiwari, Prayag; Wan, Xiang (2024).
    Document-level Relation Extraction with Relation Correlations. Neural Networks, 171, pp. 14 - 24.

    View record in DiVA DOI: 10.1016/j.neunet.2023.11.062

  • Alabdallah, Abdallah; Ohlsson, Mattias; Pashami, Sepideh; Rögnvaldsson, Thorsteinn (2024).
    The Concordance Index Decomposition : A Measure for a Deeper Understanding of Survival Prediction Models. Artificial Intelligence in Medicine, 148, pp. 1 - 10.

    View record in DiVA DOI: 10.1016/j.artmed.2024.102781

  • Chapter in book
  • Ashraf, Zeeshan; Kanwal, Bushra; Hussain, Ijaz; Dashtipour, Kia; Gogate, Mandar; Kanwal, Summrina (2024).
    Statistical Downscaling Modeling for Temperature Prediction. Decision Making and Security Risk Management for IoT Environments. Springer, Cham. Pp. 147 - 169.

    View record in DiVA DOI: 10.1007/978-3-031-47590-0_8

  • Kanwal, Bushra; Ashraf, Zeeshan; Mehmood, Tahir; Kanwal, Summrina; Dashtipour, Kia; Gogate, Mandar (2024).
    Multivariate Procedure for Modeling and Prediction of Temperature in Punjab, Pakistan. Decision Making and Security Risk Management for IoT Environments. Springer, Cham. Pp. 99 - 124.

    View record in DiVA DOI: 10.1007/978-3-031-47590-0_6

  • Song, Philip; Kanwal, Summrina; Dashtipour, Kia; Gogate, Mandar (2024).
    Federated Learning for Market Surveillance. Decision Making and Security Risk Management for IoT Environments. Springer, Cham. Pp. 199 - 218.

    View record in DiVA DOI: 10.1007/978-3-031-47590-0_10

  • Conference paper
  • Smith, Rachel Charlotte; Fors, Vaike; Brodersen, Meike (2024).
    Design Anthropology for future automation: scaling human approaches to urban mobility. European Association of Social Anthropologists, 23-26th July, Barcelona.

    View record in DiVA

  • Ali, Abid; Ghazawneh, Ahmad; Bergquist, Magnus (2024).
    Value Added Conversational AI and Digital Health: An Ontology-Driven Approach. Hawaii International Conference on System Sciences.

    View record in DiVA

  • Cortinhal, Tiago; Gouigah, Idriss; Aksoy, Eren (2024).
    Semantics-aware LiDAR-Only Pseudo Point Cloud Generation for 3D Object Detection. 35th IEEE Intelligent Vehicles Symposium, Jeju Island, Korea, June 2-5, 2024.

    View record in DiVA

  • Holmén, Magnus; Hoveskog, Maya; Bergquist, Magnus; Ernest, Anya (2024).
    Mobilizing resources for agility: the role of ecosystems. Australian Centre for Entrepreneurship Research Exchange Conference (ACERE), 05 - 09 February 2024..

    View record in DiVA

  • Tzelepis, Georgies; Borràs, Júlia; Aksoy, Eren Erdal; Alenyà, Guillem (2024).
    Semantic State Prediction in Robotic Cloth Manipulation. Intelligent Systems Conference.

    View record in DiVA DOI: 10.1007/978-3-031-47718-8_15

  • Jamshidi, Parisa; Nowaczyk, Sławomir; Rahat, Mahmoud (2024).
    EcoShap. International Workshops of the 26th European Conference on Artificial Intelligence (ECAI 2023), Kraków, Poland, 30 September-4 October, 2023.

    View record in DiVA DOI: 10.1007/978-3-031-50396-2_2

  • Bobek, Szymon; Nowaczyk, Sławomir; Pashami, Sepideh; Taghiyarrenani, Zahra; Nalepa, Grzegorz J. (2024).
    Towards Explainable Deep Domain Adaptation. European Conference on Artificial Intelligence (ECAI 2023), Kraków, Poland, September 30 - October 4, 2023.

    View record in DiVA DOI: 10.1007/978-3-031-50396-2_6

  • Khoshkangini, Reza; Tajgardan, Mohsen; Sheikholharam Mashhadi, Peyman; Rögnvaldsson, Thorsteinn; Tegnered, Daniel (2024).
    Optimal Task Grouping Approach in Multitask Learning. 30th International Conference on Neural Information Processing, ICONIP 2023, Changsha, China, November 20–23, 2023.

    View record in DiVA DOI: 10.1007/978-981-99-8076-5_15

  • Doctoral thesis, comprehensive summary
  • Hernandez-Diaz, Kevin; (2024).
    Ocular Recognition in Unconstrained Sensing Environments. Diss. (comprehensive summary). Halmstad : Halmstad University Press, 2024.

    View record in DiVA Download fulltext

  • Cortinhal, Tiago; (2024).
    Semantics-aware Multi-modal Scene Perception for Autonomous Vehicles. Diss. (comprehensive summary). Halmstad : Halmstad University Press, 2024.

    View record in DiVA Download fulltext

  • Sidorenko, Galina; (2024).
    Cooperative Automated Driving for Enhanced Safety and Ethical Decision-Making. Diss. (comprehensive summary). Halmstad : Halmstad University Press, 2024.

    View record in DiVA Download fulltext

  • Taghiyarrenani, Zahra; (2024).
    From Domain Adaptation to Federated Learning. Diss. (comprehensive summary). Halmstad : Halmstad University Press, 2024.

    View record in DiVA Download fulltext

  • Altarabichi, Mohammed Ghaith; (2024).
    Evolving intelligence : Overcoming challenges for Evolutionary Deep Learning. Diss. (comprehensive summary). Halmstad : Halmstad University Press, 2024.

    View record in DiVA Download fulltext

  • Licentiate thesis, comprehensive summary
  • Entekhabi, Sina; (2024).
    Test Automation for Grid-Based Multiagent Autonomous Systems. Lic. (comprehensive summary). Halmstad : Halmstad University Press, 2024.

    View record in DiVA Download fulltext

  • Rosberg, Felix; (2024).
    Anonymizing Faces without Destroying Information. Lic. (comprehensive summary). Halmstad : Halmstad University Press, 2024.

    View record in DiVA Download fulltext

  • Manuscript (preprint)
  • Altarabichi, Mohammed Ghaith; Alabdallah, Abdallah; Pashami, Sepideh; Ohlsson, Mattias; Rögnvaldsson, Thorsteinn; Nowaczyk, Sławomir (2024).
    Improving Concordance Index in Regression-based Survival Analysis : Discovery of Loss Function for Neural Networks.

    View record in DiVA

  • Altarabichi, Mohammed Ghaith; Nowaczyk, Sławomir; Pashami, Sepideh; Sheikholharam Mashhadi, Peyman; Handl, Julia (2024).
    Rolling the Dice for Better Deep Learning Performance : A Study of Randomness Techniques in Deep Neural Networks.

    View record in DiVA

  • Report
  • Ebbesson, Esbjörn (2024).
    OSMaaS Toolkit : Designing Open and Self Organising Mechanisms for Sustainable Mobility as a Service. 22 pp.

    View record in DiVA

updated

contact

share

Contact