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ORCIDShlomo Berkovsky
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Journal Articles
- 2024
[j49]Cong Cong
, Sidong Liu, Priyanka Rana, Maurice Pagnucco, Antonio Di Ieva, Shlomo Berkovsky, Yang Song:
Adaptive unified contrastive learning with graph-based feature aggregator for imbalanced medical image classification. Expert Syst. Appl. 251: 123783 (2024)- [j48]Sidong Liu, Cristian Castillo-Olea, Shlomo Berkovsky:
Emerging Applications and Translational Challenges for AI in Healthcare. Inf. 15(2): 90 (2024) - [j47]Shlomo Berkovsky:
2023 TiiS Best Paper announcement. ACM Trans. Interact. Intell. Syst. 14(3): 24:1 (2024) - 2023
- [j46]David Fraile Navarro, Kiran Ijaz, Dana Rezazadegan, Hania Rahimi-Ardabili, Mark Dras, Enrico W. Coiera, Shlomo Berkovsky:
Clinical named entity recognition and relation extraction using natural language processing of medical free text: A systematic review. Int. J. Medical Informatics 177: 105122 (2023) - [j45]Anindya Pradipta Susanto, David Lyell, Bambang Widyantoro, Shlomo Berkovsky, Farah Magrabi:
Effects of machine learning-based clinical decision support systems on decision-making, care delivery, and patient outcomes: a scoping review. J. Am. Medical Informatics Assoc. 30(12): 2050-2063 (2023) - [j44]Benjamin Tag, Niels van Berkel, Sunny Verma, Benjamin Zi Hao Zhao, Shlomo Berkovsky, Dali Kaafar, Vassilis Kostakos, Olga Ohrimenko:
DDoD: Dual Denial of Decision Attacks on Human-AI Teams. IEEE Pervasive Comput. 22(1): 77-84 (2023) - [j43]Michelle Zhou, Shlomo Berkovsky:
2022 TiiS Best Paper Announcement. ACM Trans. Interact. Intell. Syst. 13(3): 19:1 (2023) - [j42]David Fraile Navarro, Ahmet Baki Kocaballi, Mark Dras, Shlomo Berkovsky:
Collaboration, not Confrontation: Understanding General Practitioners' Attitudes Towards Natural Language and Text Automation in Clinical Practice. ACM Trans. Comput. Hum. Interact. 30(2): 1-34 (2023) - [j41]Li Chen, Wanling Cai, Dongning Yan, Shlomo Berkovsky:
Eye-tracking-based personality prediction with recommendation interfaces. User Model. User Adapt. Interact. 33(1): 121-157 (2023) - 2022
- [j40]Hao Xiong, Sidong Liu, Roneel V. Sharan, Enrico W. Coiera, Shlomo Berkovsky:
Weak label based Bayesian U-Net for optic disc segmentation in fundus images. Artif. Intell. Medicine 126: 102261 (2022) - [j39]Dana Rezazadegan, Shlomo Berkovsky, Juan C. Quiroz, Ahmet Baki Kocaballi, Ying Wang, Liliana Laranjo, Enrico W. Coiera:
Symbolic and Statistical Learning Approaches to Speech Summarization: A Scoping Review. Comput. Speech Lang. 72: 101305 (2022) - [j38]Hao Xiong, Hoai Nam Phan, Kathleen Yin, Shlomo Berkovsky, Joshua Jung, Annie Y. S. Lau:
Identifying daily activities of patient work for type 2 diabetes and co-morbidities: a deep learning and wearable camera approach. J. Am. Medical Informatics Assoc. 29(8): 1400-1408 (2022) - [j37]Cong Cong, Sidong Liu, Antonio Di Ieva, Maurice Pagnucco, Shlomo Berkovsky, Yang Song:
Colour adaptive generative networks for stain normalisation of histopathology images. Medical Image Anal. 82: 102580 (2022) - [j36]Kiran Ijaz, Tram Thi Minh Tran, Ahmet Baki Kocaballi, Rafael A. Calvo, Shlomo Berkovsky, Naseem Ahmadpour:
Design Considerations for Immersive Virtual Reality Applications for Older Adults: A Scoping Review. Multimodal Technol. Interact. 6(7): 60 (2022) - 2021
- [j35]Roneel V. Sharan, Shlomo Berkovsky, David Fraile Navarro, Hao Xiong, Adam Jaffe:
Detecting pertussis in the pediatric population using respiratory sound events and CNN. Biomed. Signal Process. Control. 68: 102722 (2021) - [j34]Shoujin Wang, Longbing Cao, Liang Hu, Shlomo Berkovsky, Xiaoshui Huang, Lin Xiao, Wenpeng Lu:
Hierarchical Attentive Transaction Embedding With Intra- and Inter-Transaction Dependencies for Next-Item Recommendation. IEEE Intell. Syst. 36(4): 56-64 (2021) - [j33]Juan C. Quiroz, Liliana Laranjo, Catalin Tufanaru, Ahmet Baki Kocaballi, Dana Rezazadegan, Shlomo Berkovsky, Enrico W. Coiera:
Empirical analysis of Zipf's law, power law, and lognormal distributions in medical discharge reports. Int. J. Medical Informatics 145: 104324 (2021) - [j32]Hao Xiong, Yuan Yan Tang, Fionn Murtagh, Leszek Rutkowski, Shlomo Berkovsky:
A diversified shared latent variable model for efficient image characteristics extraction and modelling. Neurocomputing 421: 244-259 (2021) - [j31]You-Zhen Feng, Sidong Liu, Zhong-Yuan Cheng, Juan C. Quiroz, Dana Rezazadegan, Ping-Kang Chen, Qi-Ting Lin, Long Qian, Xiao-Fang Liu, Shlomo Berkovsky, Enrico W. Coiera, Lei Song, Xiao-Ming Qiu, Xiang-Ran Cai:
Severity Assessment and Progression Prediction of COVID-19 Patients Based on the LesionEncoder Framework and Chest CT. Inf. 12(11): 471 (2021) - [j30]Gioacchino Tangari, Muhammad Ikram, I Wayan Budi Sentana, Kiran Ijaz, Mohamed Ali Kâafar, Shlomo Berkovsky:
Analyzing security issues of android mobile health and medical applications. J. Am. Medical Informatics Assoc. 28(10): 2074-2084 (2021) - [j29]Hao Xiong, Shlomo Berkovsky, Mia Romano, Roneel V. Sharan, Sidong Liu, Enrico W. Coiera, Lauren F. McLellan:
Prediction of anxiety disorders using a feature ensemble based bayesian neural network. J. Biomed. Informatics 123: 103921 (2021) - [j28]Roneel V. Sharan, Hao Xiong, Shlomo Berkovsky:
Benchmarking Audio Signal Representation Techniques for Classification with Convolutional Neural Networks. Sensors 21(10): 3434 (2021) - [j27]Shlomo Berkovsky, Enrico W. Coiera:
Health personalisation: from wellbeing to medicine. SIGWEB Newsl. 2021(Summer): 4:1-4:7 (2021) - 2020
- [j26]Juan C. Quiroz, Liliana Laranjo, Ahmet Baki Kocaballi, Agustina Briatore, Shlomo Berkovsky, Dana Rezazadegan, Enrico W. Coiera:
Identifying relevant information in medical conversations to summarize a clinician-patient encounter. Health Informatics J. 26(4): 2906-2914 (2020) - [j25]Ronnie Taib, Shlomo Berkovsky:
Modeling humans via physiological and behavioral signals. Interactions 27(3): 30-34 (2020) - [j24]Ahmet Baki Kocaballi, Kiran Ijaz, Liliana Laranjo, Juan C. Quiroz, Dana Rezazadegan, Huong Ly Tong, Simon Willcock, Shlomo Berkovsky, Enrico W. Coiera:
Envisioning an artificial intelligence documentation assistant for future primary care consultations: A co-design study with general practitioners. J. Am. Medical Informatics Assoc. 27(11): 1695-1704 (2020) - [j23]Ronnie Taib, Shlomo Berkovsky, Irena Koprinska, Eileen Wang, Yucheng Zeng, Jingjie Li:
Personality Sensing: Detection of Personality Traits Using Physiological Responses to Image and Video Stimuli. ACM Trans. Interact. Intell. Syst. 10(3): 18:1-18:32 (2020) - [j22]Dietmar Jannach, Bamshad Mobasher, Shlomo Berkovsky:
Research directions in session-based and sequential recommendation. User Model. User Adapt. Interact. 30(4): 609-616 (2020) - 2019
- [j21]Juan C. Quiroz, Liliana Laranjo, Ahmet Baki Kocaballi, Shlomo Berkovsky, Dana Rezazadegan, Enrico W. Coiera:
Challenges of developing a digital scribe to reduce clinical documentation burden. npj Digit. Medicine 2 (2019) - 2017
- [j20]Jill Freyne, Jie Yin, Emily Brindal, Gilly Hendrie, Shlomo Berkovsky, Manny Noakes:
Push Notifications in Diet Apps: Influencing Engagement Times and Tasks. Int. J. Hum. Comput. Interact. 33(10): 833-845 (2017) - 2016
- [j19]Branislav Kveton, Shlomo Berkovsky:
Minimal Interaction Content Discovery in Recommender Systems. ACM Trans. Interact. Intell. Syst. 6(2): 15:1-15:25 (2016) - [j18]Arik Friedman, Shlomo Berkovsky, Mohamed Ali Kâafar:
A differential privacy framework for matrix factorization recommender systems. User Model. User Adapt. Interact. 26(5): 425-458 (2016) - 2015
- [j17]Shlomo Berkovsky, Jill Freyne:
Personalized Social Network Activity Feeds for Increased Interaction and Content Contribution. Frontiers Robotics AI 2: 24 (2015) - 2013
- [j16]Mohamed Ali Kâafar, Shlomo Berkovsky, Benoit Donnet:
On the potential of recommendation technologies for efficient content delivery networks. Comput. Commun. Rev. 43(3): 74-77 (2013) - [j15]Paul De Bra, Jill Freyne, Shlomo Berkovsky:
Introduction to the Special Issue on Adaptive Hypermedia. New Rev. Hypermedia Multim. 19(2): 81-83 (2013) - [j14]Jill Freyne, Shlomo Berkovsky, Gregory Smith:
Rating Bias and Preference Acquisition. ACM Trans. Interact. Intell. Syst. 3(3): 19:1-19:21 (2013) - [j13]Alan Said, Shlomo Berkovsky, Ernesto William De Luca:
Movie recommendation in context. ACM Trans. Intell. Syst. Technol. 4(1): 13:1-13:9 (2013) - 2012
- [j12]Shlomo Berkovsky, Tsvi Kuflik, Francesco Ricci:
The impact of data obfuscation on the accuracy of collaborative filtering. Expert Syst. Appl. 39(5): 5033-5042 (2012) - [j11]Shlomo Berkovsky, Jill Freyne, Harri Oinas-Kukkonen:
Influencing Individually: Fusing Personalization and Persuasion. ACM Trans. Interact. Intell. Syst. 2(2): 9:1-9:8 (2012) - [j10]Shlomo Berkovsky, Jill Freyne, Mac Coombe:
Physical Activity Motivating Games: Be Active and Get Your Own Reward. ACM Trans. Comput. Hum. Interact. 19(4): 32:1-32:41 (2012) - 2011
- [j9]Nilufar Baghaei, Stephen Kimani, Jill Freyne, Emily Brindal, Shlomo Berkovsky, Gregory Smith:
Engaging Families in Lifestyle Changes Through Social Networking. Int. J. Hum. Comput. Interact. 27(10): 971-990 (2011) - 2010
- [j8]Shlomo Berkovsky, Jill Freyne:
An Analysis of Group Recommendation Strategies. J. Adv. Comput. Intell. Intell. Informatics 14(6): 729-734 (2010) - 2009
- [j7]Shlomo Berkovsky, Tsvi Kuflik, Francesco Ricci:
Cross-representation mediation of user models. User Model. User Adapt. Interact. 19(1-2): 35-63 (2009) - 2008
- [j6]Fabian Bohnert, Ingrid Zukerman, Shlomo Berkovsky, Timothy Baldwin, Liz Sonenberg:
Using interest and transition models to predict visitor locations in museums. AI Commun. 21(2-3): 195-202 (2008) - [j5]Shlomo Berkovsky, Tsvi Kuflik, Francesco Ricci:
Mediation of user models for enhanced personalization in recommender systems. User Model. User Adapt. Interact. 18(3): 245-286 (2008) - 2007
- [j4]Shlomo Berkovsky, Tsvi Kuflik, Francesco Ricci:
P2P case storage and retrieval with an unspecified ontology. Artif. Intell. Rev. 28(3): 227-255 (2007) - [j3]Shlomo Berkovsky, Yaniv Eytani, Larry M. Manevitz:
Efficient Collaborative Filtering in Content-Addressable Spaces. Int. J. Pattern Recognit. Artif. Intell. 21(2): 265-289 (2007) - 2006
- [j2]Yosi Ben-Asher, Shlomo Berkovsky:
Semantic Data Management in Peer-to-Peer E-Commerce Applications. J. Data Semant.: 115-142 (2006) - 2005
- [j1]Yosi Ben-Asher, Shlomo Berkovsky, Eduard Gelzin, Ariel Tammam, Miri Vilkhov:
Using J2EE/NET Clusters for Parallel Computations of Join Queries in Distributed Databases. J. Digit. Inf. Manag. 3(2): 76-81 (2005)
Conference and Workshop Papers
- 2024
- [c114]Chengyu Yuan, Hao Xiong, Guoqing Shangguan, Hualei Shen, Dong Liu, Haojie Zhang, Zhonghua Liu, Kun Qian, Bin Hu, Björn W. Schuller, Yoshiharu Yamamoto, Shlomo Berkovsky:
Deep Fusion of Shifted MLP and CNN for Medical Image Segmentation. ICASSP 2024: 1676-1680 - [c113]Rikako Matsushima, Yoshinori Hijikata, Shlomo Berkovsky:
Proponents as the Means to Increase the Uptake of Recommendations. UMAP 2024: 255-260 - 2023
- [c112]Soham Rohit Chitnis, Sidong Liu, Tirtharaj Dash, Tanmay Tulsidas Verlekar, Antonio Di Ieva, Shlomo Berkovsky, Lovekesh Vig, Ashwin Srinivasan:
Domain-Specific Pre-training Improves Confidence in Whole Slide Image Classification. EMBC 2023: 1-4 - [c111]Laya Jose, Shlomo Berkovsky, Hao Xiong, Cecilia Mascolo, Roneel V. Sharan:
Denoising Cough Sound Recordings Using Neural Networks. EMBC 2023: 1-4 - [c110]Anindya Pradipta Susanto, David Lyell, Bambang Widyantoro, Shlomo Berkovsky, Farah Magrabi:
How Well Do AI-Enabled Decision Support Systems Perform in Clinical Settings? MedInfo 2023: 279-283 - 2022
- [c109]Roneel V. Sharan, Hao Xiong, Shlomo Berkovsky:
Detecting Cough Recordings in Crowdsourced Data Using CNN-RNN. BHI 2022: 1-4 - [c108]Cong Cong, Yixing Yang, Sidong Liu, Maurice Pagnucco, Antonio Di Ieva, Shlomo Berkovsky, Yang Song:
Adaptive Unified Contrastive Learning for Imbalanced Classification. MLMI@MICCAI 2022: 348-357 - [c107]David Fraile Navarro, Mark Dras, Shlomo Berkovsky:
Few-shot fine-tuning SOTA summarization models for medical dialogues. NAACL-HLT (Student Research Workshop) 2022: 254-266 - 2021
- [c106]Cong Cong, Sidong Liu, Antonio Di Ieva, Maurice Pagnucco, Shlomo Berkovsky, Yang Song:
Texture Enhanced Generative Adversarial Network For Stain Normalisation In Histopathology Images. ISBI 2021: 1949-1952 - [c105]Cong Cong, Sidong Liu, Antonio Di Ieva, Maurice Pagnucco, Shlomo Berkovsky, Yang Song:
Semi-supervised Adversarial Learning for Stain Normalisation in Histopathology Images. MICCAI (8) 2021: 581-591 - [c104]I Wayan Budi Sentana, Muhammad Ikram, Mohamed Ali Kâafar, Shlomo Berkovsky:
Empirical Security and Privacy Analysis of Mobile Symptom Checking Apps on Google Play. SECRYPT 2021: 665-673 - 2020
- [c103]Veronika Bogina, Julia Sheidin, Tsvi Kuflik, Shlomo Berkovsky:
Visualizing Program Genres' Temporal-Based Similarity in Linear TV Recommendations. AVI 2020: 69:1-69:5 - [c102]Ahmet Baki Kocaballi, Enrico W. Coiera, Shlomo Berkovsky:
Revisiting Habitability in Conversational Systems. CHI Extended Abstracts 2020: 1-8 - [c101]Roneel V. Sharan, Shlomo Berkovsky, Ronnie Taib, Irena Koprinska, Jingjie Li:
Detecting Personality Traits Using Inter-Hemispheric Asynchrony of the Brainwaves. EMBC 2020: 62-65 - [c100]Roneel V. Sharan, Shlomo Berkovsky:
Epileptic Seizure Detection Using Multi-Channel EEG Wavelet Power Spectra and 1-D Convolutional Neural Networks. EMBC 2020: 545-548 - [c99]Roneel V. Sharan, Shlomo Berkovsky, Hao Xiong, Enrico W. Coiera:
ECG-Derived Heart Rate Variability Interpolation and 1-D Convolutional Neural Networks for Detecting Sleep Apnea. EMBC 2020: 637-640 - [c98]Roneel V. Sharan, Shlomo Berkovsky, Sidong Liu:
Voice Command Recognition Using Biologically Inspired Time-Frequency Representation and Convolutional Neural Networks. EMBC 2020: 998-1001 - [c97]Hao Xiong, Shlomo Berkovsky, Roneel V. Sharan, Sidong Liu, Enrico W. Coiera:
Robust Vision-Based Workout Analysis Using Diversified Deep Latent Variable Model. EMBC 2020: 2155-2158 - [c96]Shlomo Berkovsky:
Keynote Abstract: Health Personalisation: From Wellbeing to Medicine. HealthRecSys@RecSys 2020: 1 - 2019
- [c95]Shlomo Berkovsky, Ronnie Taib, Irena Koprinska, Eileen Wang, Yucheng Zeng, Jingjie Li, Sabina Kleitman:
Detecting Personality Traits Using Eye-Tracking Data. CHI 2019: 221 - [c94]Ronnie Taib, Kun Yu, Shlomo Berkovsky, Mark W. Wiggins, Piers Bayl-Smith:
Social Engineering and Organisational Dependencies in Phishing Attacks. INTERACT (1) 2019: 564-584 - [c93]Kun Yu, Shlomo Berkovsky, Ronnie Taib, Jianlong Zhou, Fang Chen:
Do I trust my machine teammate?: an investigation from perception to decision. IUI 2019: 460-468 - 2018
- [c92]Anusuriya Devaraju, Shlomo Berkovsky:
A Hybrid Recommendation Approach for Open Research Datasets. UMAP 2018: 207-211 - [c91]Shlomo Berkovsky, Ronnie Taib, Yoshinori Hijikata, Pavel Braslavski, Bart P. Knijnenburg:
A Cross-Cultural Analysis of Trust in Recommender Systems. UMAP 2018: 285-289 - 2017
- [c90]Jianlong Zhou, Syed Z. Arshad, Simon Luo, Kun Yu, Shlomo Berkovsky, Fang Chen:
Indexing Cognitive Load using Blood Volume Pulse Features. CHI Extended Abstracts 2017: 2269-2275 - [c89]Gaurav Misra, Nalin Asanka Gamagedara Arachchilage, Shlomo Berkovsky:
Phish Phinder: A Game Design Approach to Enhance User Confidence in Mitigating Phishing Attacks. HAISA 2017: 41-51 - [c88]Dana Bradford, Shlomo Berkovsky, Melissa Martyn, Tim Bakkar, Martin Krahnert, Michelle Rodriguez, Denis C. Bauer, Derek Ireland, Clara Gaff:
Interacting with Genomic Data: Clinician Requirements and Prototype Structure. HIC 2017: 1-7 - [c87]Ling Luo, Bin Li, Irena Koprinska, Shlomo Berkovsky, Fang Chen:
Tracking the Evolution of Customer Purchase Behavior Segmentation via a Fragmentation-Coagulation Process. IJCAI 2017: 2414-2420 - [c86]Shlomo Berkovsky, Ronnie Taib, Dan Conway:
How to Recommend?: User Trust Factors in Movie Recommender Systems. IUI 2017: 287-300 - [c85]Kun Yu, Shlomo Berkovsky, Ronnie Taib, Dan Conway, Jianlong Zhou, Fang Chen:
User Trust Dynamics: An Investigation Driven by Differences in System Performance. IUI 2017: 307-317 - [c84]Anusuriya Devaraju, Shlomo Berkovsky:
Do Users Matter? The Contribution of User-Driven Feature Weights to Open Dataset Recommendations. RecSys Posters 2017 - [c83]Bart P. Knijnenburg, Shlomo Berkovsky:
Privacy for Recommender Systems: Tutorial Abstract. RecSys 2017: 394-395 - [c82]Dan Conway, Ronnie Taib, Mitch Harris, Kun Yu, Shlomo Berkovsky, Fang Chen:
A Qualitative Investigation of Bank Employee Experiences of Information Security and Phishing. SOUPS 2017: 115-129 - [c81]Shi Zong, Branislav Kveton, Shlomo Berkovsky, Azin Ashkan, Zheng Wen:
Get to the Bottom: Causal Analysis for User Modeling. UMAP 2017: 256-264 - [c80]Shi Zong, Branislav Kveton, Shlomo Berkovsky, Azin Ashkan, Nikos Vlassis, Zheng Wen:
Does Weather Matter?: Causal Analysis of TV Logs. WWW (Companion Volume) 2017: 883-884 - [c79]Ling Luo, Bin Li, Shlomo Berkovsky, Irena Koprinska, Fang Chen:
Online Engagement for a Healthier You: A Case Study of Web-based Supermarket Health Program. WWW (Companion Volume) 2017: 1053-1061 - 2016
- [c78]Ling Luo, Bin Li, Irena Koprinska, Shlomo Berkovsky, Fang Chen:
Discovering Temporal Purchase Patterns with Different Responses to Promotions. CIKM 2016: 2197-2202 - [c77]M. Sazzad Hussain, Liam Cripwell, Shlomo Berkovsky, Jill Freyne:
Promoting UV Exposure Awareness with Persuasive, Wearable Technologies. HIC 2016: 48-54 - [c76]Ling Luo, Bin Li, Shlomo Berkovsky, Irena Koprinska, Fang Chen:
Who Will Be Affected by Supermarket Health Programs? Tracking Customer Behavior Changes via Preference Modeling. PAKDD (1) 2016: 527-539 - [c75]Shlomo Berkovsky, Maurits Kaptein, Massimo Zancanaro:
Adaptivity and Personalization in Persuasive Technologies. PPT@PERSUASIVE 2016: 13-25 - [c74]Kun Yu, Shlomo Berkovsky, Dan Conway, Ronnie Taib, Jianlong Zhou, Fang Chen:
Trust and Reliance Based on System Accuracy. UMAP 2016: 223-227 - 2015
- [c73]Kyrylo Medvediev, Guandong Xu, Shlomo Berkovsky, Yury Onikienko:
An analysis of new visitors' website behaviour before & after TV advertising. BESC 2015: 109-115 - [c72]David Vallet, Shlomo Berkovsky, Sebastien Ardon, Anirban Mahanti, Mohamed Ali Kâafar:
Characterizing and Predicting Viral-and-Popular Video Content. CIKM 2015: 1591-1600 - [c71]Azin Ashkan, Branislav Kveton, Shlomo Berkovsky, Zheng Wen:
Optimal Greedy Diversity for Recommendation. IJCAI 2015: 1742-1748 - [c70]Shlomo Berkovsky, Jill Freyne, Harri Oinas-Kukkonen:
Influencing Individually: Fusing Personalization and Persuasion (Extended Abstract). IJCAI 2015: 4153-4187 - [c69]Branislav Kveton, Shlomo Berkovsky:
Minimal Interaction Search in Recommender Systems. IUI 2015: 236-246 - [c68]Shlomo Berkovsky, Jill Freyne:
Web Personalization and Recommender Systems. KDD 2015: 2307-2308 - [c67]Shlomo Berkovsky:
Blending Users, Content, and Emotions for Movie Recommendations. ASM@ACM Multimedia 2015: 1 - [c66]Shlomo Berkovsky:
Emotion-Based Movie Recommendations: How Far Can We Take This? EMPIRE@RecSys 2015: 1 - [c65]Mehdi Elahi, Mouzhi Ge, Francesco Ricci, Ignacio Fernández-Tobías, Shlomo Berkovsky, David Massimo:
Interaction Design in a Mobile Food Recommender System. IntRS@RecSys 2015: 49-52 - [c64]Arnaud Berlioz, Arik Friedman, Mohamed Ali Kâafar, Roksana Boreli, Shlomo Berkovsky:
Applying Differential Privacy to Matrix Factorization. RecSys 2015: 107-114 - [c63]Oren Sar Shalom, Shlomo Berkovsky, Royi Ronen, Elad Ziklik, Amihood Amir:
Data Quality Matters in Recommender Systems. RecSys 2015: 257-260 - [c62]Matt Adcock, Stuart Anderson, Shlomo Berkovsky, Paul Flick, Dennis Frousheger, Brett Grandbois, Chris Gunn, David Haddon, Jane Li, Thomas Lowe, Benjamin Mackey, Frederick Pauling, Christian Richter, Kazys Stepanas, Fletcher Talbot, Gavin Walker, Belinda Ward, Luke Tomes, Sally Miles, Daniel Keogh, Ben Colenso, Hay Wie Lie, Dean Longmore, Jayden Hanly, Dave Canavan:
Exploring the Jenolan Caves: bringing the physical world to 3D online education. Web3D 2015: 161 - 2014
- [c61]Amit Tiroshi, Shlomo Berkovsky, Mohamed Ali Kâafar, David Vallet, Terence Chen, Tsvi Kuflik:
Improving business rating predictions using graph based features. IUI 2014: 17-26 - [c60]David Vallet, Arik Friedman, Shlomo Berkovsky:
Matrix Factorization without User Data Retention. PAKDD (1) 2014: 569-580 - [c59]Azin Ashkan, Branislav Kveton, Shlomo Berkovsky, Zheng Wen:
Diversified Utility Maximization for Recommendations. RecSys Posters 2014 - [c58]Mehdi Elahi, Mouzhi Ge, Francesco Ricci, David Massimo, Shlomo Berkovsky:
Interactive Food Recommendation for Groups. RecSys Posters 2014 - [c57]Amit Tiroshi, Shlomo Berkovsky, Mohamed Ali Kâafar, David Vallet, Tsvi Kuflik:
Graph-Based Recommendations: Make the Most Out of Social Data. UMAP 2014: 447-458 - 2013
- [c56]Shlomo Berkovsky:
Network activity feed: finding needles in a haystack. MSM 2013: 1:1 - [c55]Patrick Burns, Christopher Lueg, Shlomo Berkovsky:
Colours That Move You: Persuasive Ambient Activity Displays. PERSUASIVE 2013: 27-32 - [c54]Shlomo Berkovsky, Jill Freyne:
Personalised Network Activity Feeds: Finding Needles in the Haystacks. MSM/MUSE 2013: 21-34 - [c53]Shlomo Berkovsky, Jill Freyne:
Food Recommendations: Biases that Underpin Ratings. Decisions@RecSys 2013: 42 - [c52]Mengxi Xu, Shlomo Berkovsky, Sebastien Ardon, Sipat Triukose, Anirban Mahanti, Irena Koprinska:
Catch-up TV recommendations: show old favourites and find new ones. RecSys 2013: 285-294 - [c51]Amit Tiroshi, Shlomo Berkovsky, Mohamed Ali Kâafar, Terence Chen, Tsvi Kuflik:
Cross social networks interests predictions based ongraph features. RecSys 2013: 319-322 - [c50]Amit Tiroshi, Tsvi Kuflik, Shlomo Berkovsky:
Inform or Flood: Estimating When Retweets Duplicate. UMAP 2013: 267-273 - 2012
- [c49]Jill Freyne, Emily Brindal, Gilly Hendrie, Shlomo Berkovsky, Mac Coombe:
Mobile applications to support dietary change: highlighting the importance of evaluation context. CHI Extended Abstracts 2012: 1781-1786 - [c48]Patrick Burns, Christopher Lueg, Shlomo Berkovsky:
Activmon: encouraging physical activity through ambient social awareness. CHI Extended Abstracts 2012: 2363-2368 - [c47]Jill Freyne, Ian Saunders, Emily Brindal, Shlomo Berkovsky, Gregory Smith:
Factors associated with persistent participation in an online diet intervention. CHI Extended Abstracts 2012: 2375-2380 - [c46]Sebastien Ardon, Salim Bensiali, Hilary Cinis, Jeff Wang, Shlomo Berkovsky:
Next-generation social TV content discovery. UMAP Workshops 2012 - [c45]Shlomo Berkovsky, Jill Freyne, Gregory Smith:
Personalized Network Updates: Increasing Social Interactions and Contributions in Social Networks. UMAP 2012: 1-13 - [c44]Mengxi Xu, Shlomo Berkovsky, Irena Koprinska, Sebastien Ardon, Kalina Yacef:
Time dependency in TV viewer clustering. UMAP Workshops 2012 - 2011
- [c43]Jill Freyne, Shlomo Berkovsky, Nilufar Baghaei, Stephen Kimani, Gregory Smith:
Personalized Techniques for Lifestyle Change. AIME 2011: 139-148 - [c42]Patrick Burns, Christopher Peter Lueg, Shlomo Berkovsky:
ActivMON: A Wearable Ambient Activity Display. MMS 2011: 11-24 - [c41]Alan Said, Shlomo Berkovsky, Ernesto William De Luca, Jannis Hermanns:
Challenge on context-aware movie recommendation: CAMRa2011. RecSys 2011: 385-386 - [c40]Jill Freyne, Shlomo Berkovsky, Gregory Smith:
Recipe Recommendation: Accuracy and Reasoning. UMAP 2011: 99-110 - [c39]Shlomo Berkovsky, Jill Freyne, Stephen Kimani, Gregory Smith:
Selecting Items of Relevance in Social Network Feeds. UMAP 2011: 329-334 - 2010
- [c38]Jill Freyne, Shlomo Berkovsky, Stephen Kimani, Nilufar Baghaei, Emily Brindal:
Improving health information access through social networking. CBMS 2010: 334-339 - [c37]Shlomo Berkovsky, Mac Coombe, Jill Freyne, Dipak Bhandari, Nilufar Baghaei:
Physical activity motivating games: virtual rewards for real activity. CHI 2010: 243-252 - [c36]Stephen Kimani, Nilufar Baghaei, Jill Freyne, Shlomo Berkovsky, Dipak Bhandari, Gregory Smith:
Gender and role differences in family-based healthy living networks. CHI Extended Abstracts 2010: 4219-4224 - [c35]Shlomo Berkovsky, Mac Coombe, Richard Helmer:
Activity interface for physical activity motivating games. IUI 2010: 273-276 - [c34]Jill Freyne, Shlomo Berkovsky:
Intelligent food planning: personalized recipe recommendation. IUI 2010: 321-324 - [c33]Stephen Kimani, Shlomo Berkovsky, Gregory Smith, Jill Freyne, Nilufar Baghaei, Dipak Bhandari:
Activity awareness in family-based healthy living online social networks. IUI 2010: 337-340 - [c32]Shlomo Berkovsky, Mac Coombe, Jill Freyne, Dipak Bhandari:
Isn't it great?: you can PLAY, MATE! IUI 2010: 403-404 - [c31]Jill Freyne, Dipak Bhandari, Shlomo Berkovsky, Lyle Borlase, Chris Campbell, Steve Chau:
Mobile mentor: weight management platform. IUI 2010: 409-410 - [c30]Shlomo Berkovsky, Jill Freyne:
Group-based recipe recommendations: analysis of data aggregation strategies. RecSys 2010: 111-118 - [c29]Shlomo Berkovsky, Jill Freyne, Mac Coombe, Dipak Bhandari:
Recommender algorithms in activity motivating games. RecSys 2010: 175-182 - [c28]Jill Freyne, Shlomo Berkovsky, Elizabeth M. Daly, Werner Geyer:
Social networking feeds: recommending items of interest. RecSys 2010: 277-280 - [c27]Gediminas Adomavicius, Alexander Tuzhilin, Shlomo Berkovsky, Ernesto William De Luca, Alan Said:
Context-awareness in recommender systems: research workshop and movie recommendation challenge. RecSys 2010: 385-386 - [c26]Jill Freyne, Shlomo Berkovsky:
Recommending Food: Reasoning on Recipes and Ingredients. UMAP 2010: 381-386 - 2009
- [c25]Shlomo Berkovsky, Jill Freyne, Mac Coombe:
Physical Activity Motivating Games. AICS 2009: 283-284 - [c24]Shlomo Berkovsky, Jill Freyne, Mac Coombe:
Aggregation Trade Offs in Family Based Recommendations. Australasian Conference on Artificial Intelligence 2009: 646-655 - [c23]Nilufar Baghaei, Jill Freyne, Stephen Kimani, Gregory Smith, Shlomo Berkovsky, Dipak Bhandari, Nathalie Colineau, Cécile Paris:
SOFA: an online social network for engaging and motivating families to adopt a healthy lifestyle. OZCHI 2009: 269-272 - [c22]Shlomo Berkovsky, Jill Freyne, Mac Coombe, Dipak Bhandari, Nilufar Baghaei:
Physical activity motivating games: you can play, mate!. OZCHI 2009: 273-276 - [c21]Shlomo Berkovsky, Dipak Bhandari, Stephen Kimani, Nathalie Colineau, Cécile Paris:
Designing games to motivate physical activity. PERSUASIVE 2009: 37 - 2008
- [c20]Yosi Ben-Asher, Shlomo Berkovsky, Paolo Busetta, Yaniv Eytani, Sadek Jbara, Tsvi Kuflik:
Adaptive Retrieval of Semi-structured Data. AH 2008: 32-41 - [c19]Fabian Bohnert, Ingrid Zukerman, Shlomo Berkovsky, Timothy Baldwin, Liz Sonenberg:
Using Collaborative Models to Adaptively Predict Visitor Locations in Museums. AH 2008: 42-51 - [c18]Shlomo Berkovsky, Timothy Baldwin, Ingrid Zukerman:
Aspect-Based Personalized Text Summarization. AH 2008: 267-270 - [c17]Tsvi Kuflik, Shlomo Berkovsky, Dominik Heckmann, Antonio Krüger:
UbiqUM 2008: theories and applications of ubiquitous user modeling. IUI 2008: 438 - 2007
- [c16]Shlomo Berkovsky, Yaniv Eytani, Tsvi Kuflik, Francesco Ricci:
Enhancing privacy and preserving accuracy of a distributed collaborative filtering. RecSys 2007: 9-16 - [c15]Shlomo Berkovsky, Tsvi Kuflik, Francesco Ricci:
Distributed collaborative filtering with domain specialization. RecSys 2007: 33-40 - [c14]Shlomo Berkovsky, Tsvi Kuflik, Francesco Ricci:
Cross-Domain Mediation in Collaborative Filtering. User Modeling 2007: 355-359 - 2006
- [c13]Shlomo Berkovsky, Tsvi Kuflik, Francesco Ricci:
Cross-Technique Mediation of User Models. AH 2006: 21-30 - [c12]Shlomo Berkovsky:
Decentralized Mediation of User Models for a Better Personalization. AH 2006: 404-408 - [c11]Shlomo Berkovsky, Dan Goldwasser, Tsvi Kuflik, Francesco Ricci:
Identifying Inter-Domain Similarities Through Content-Based Analysis of Hierarchical Web-Directories. ECAI 2006: 789-790 - [c10]Shlomo Berkovsky, Yaniv Eytani, Larry M. Manevitz:
Collaborative Filtering Based on Content Addressing. ICEIS (2) 2006: 91-98 - [c9]Shlomo Berkovsky, Yaniv Eytani, Larry M. Manevitz:
Retrieval of Collaborative Filtering Nearest Neighbors in a Content-Addressable Space. ICEIS (Selected Papers) 2006: 159-178 - [c8]Shlomo Berkovsky, Tsvi Kuflik, Lora Aroyo, Dominik Heckmann, Alexander Kröner, Francesco Ricci, Geert-Jan Houben:
Predicting User Experiences through Cross-Context Reasoning. LWA 2006: 27-31 - [c7]Yosi Ben-Asher, Shlomo Berkovsky, Yaniv Eytani:
Management of unspecified semi-structured data in multi-agent environment. SAC 2006: 101-105 - 2005
- [c6]Shlomo Berkovsky, Tsvi Kuflik, Francesco Ricci:
P2P Case Retrieval with an Unspecified Ontology. ICCBR 2005: 91-105 - [c5]Shlomo Berkovsky, Tsvi Kuflik, Francesco Ricci:
Entertainment Personalization Mechanism Through Cross-Domain User Modeling. INTETAIN 2005: 215-219 - [c4]Shlomo Berkovsky, Yaniv Eytani:
Semantic Platform for Context-Aware Publish/Subscribe M-Commerce. SAINT Workshops 2005: 188-191 - [c3]Shlomo Berkovsky:
Ubiquitous User Modeling in Recommender Systems. User Modeling 2005: 496-498 - [c2]Shlomo Berkovsky, Yaniv Eytani, Avigdor Gal:
Measuring the Relative Performance of Schema Matchers. Web Intelligence 2005: 366-371 - 2004
- [c1]Yosi Ben-Asher, Shlomo Berkovsky, Ariel Tammam, Edi Shmueli:
Using a J2EE Cluster for Parallel Computation of Join Queries in Distributed Databases. ISPDC/HeteroPar 2004: 58-63
Parts in Books or Collections
- 2022
- [p5]Rahat Masood, Shlomo Berkovsky, Mohamed Ali Kâafar:
Tracking and Personalization. Modern Socio-Technical Perspectives on Privacy 2022: 171-202 - [p4]Vivian Genaro Motti, Shlomo Berkovsky:
Healthcare Privacy. Modern Socio-Technical Perspectives on Privacy 2022: 203-231 - 2018
- [p3]Kun Yu, Shlomo Berkovsky, Dan Conway, Ronnie Taib, Jianlong Zhou, Fang Chen:
Do I Trust a Machine? Differences in User Trust Based on System Performance. Human and Machine Learning 2018: 245-264 - 2009
- [p2]Shlomo Berkovsky, Dominik Heckmann, Tsvi Kuflik:
Addressing Challenges of Ubiquitous User Modeling: Between Mediation and Semantic Integration. Advances in Ubiquitous User Modelling 2009: 1-19 - 2008
- [p1]Shlomo Berkovsky, Yaniv Eytani, Larry M. Manevitz:
Efficient Collaborative Filtering in Content-Addressable Spaces. Personalization Techniques and Recommender Systems 2008: 135-164
Editorship
- 2023
- [e8]Jie Zhang, Li Chen, Shlomo Berkovsky, Min Zhang, Tommaso Di Noia, Justin Basilico, Luiz Pizzato, Yang Song:
Proceedings of the 17th ACM Conference on Recommender Systems, RecSys 2023, Singapore, Singapore, September 18-22, 2023. ACM 2023 [contents] - 2018
- [e7]Shlomo Berkovsky, Iván Cantador, Domonkos Tikk:
Collaborative Recommendations - Algorithms, Practical Challenges and Applications. WorldScientific 2018, ISBN 978-981-3275-34-8 [contents] - [e6]Shlomo Berkovsky, Yoshinori Hijikata, Jun Rekimoto, Margaret M. Burnett, Mark Billinghurst, Aaron Quigley:
Proceedings of the 23rd International Conference on Intelligent User Interfaces, IUI 2018, Tokyo, Japan, March 07-11, 2018. ACM 2018 [contents] - 2017
- [e5]Paolo Cremonesi, Francesco Ricci, Shlomo Berkovsky, Alexander Tuzhilin:
Proceedings of the Eleventh ACM Conference on Recommender Systems, RecSys 2017, Como, Italy, August 27-31, 2017. ACM 2017, ISBN 978-1-4503-4652-8 [contents] - 2013
- [e4]Shlomo Berkovsky, Jill Freyne:
Adjunct Proceedings of the 8th International Conference on Persuasive Technology, PERSUASIVE 2013, Sydney, Australia, April 3-5, 2013. CEUR Workshop Proceedings 973, CEUR-WS.org 2013 [contents] - [e3]Shlomo Berkovsky, Jill Freyne:
Persuasive Technology - 8th International Conference, PERSUASIVE 2013, Sydney, NSW, Australia, April 3-5, 2013. Proceedings. Lecture Notes in Computer Science 7822, Springer 2013, ISBN 978-3-642-37156-1 [contents] - [e2]Shlomo Berkovsky, Eelco Herder, Pasquale Lops, Olga C. Santos:
Late-Breaking Results, Project Papers and Workshop Proceedings of the 21st Conference on User Modeling, Adaptation, and Personalization., Rome, Italy, June 10-14, 2013. CEUR Workshop Proceedings 997, CEUR-WS.org 2013 [contents] - 2009
- [e1]Tsvi Kuflik, Shlomo Berkovsky, Francesca Carmagnola, Dominik Heckmann, Antonio Krüger:
Advances in Ubiquitous User Modelling, Revised Selected Papers. Lecture Notes in Computer Science 5830, Springer 2009, ISBN 978-3-642-05038-1 [contents]
Reference Works
- 2022
- [r3]Maurizio Ferrari Dacrema, Iván Cantador, Ignacio Fernández-Tobías, Shlomo Berkovsky, Paolo Cremonesi:
Design and Evaluation of Cross-Domain Recommender Systems. Recommender Systems Handbook 2022: 485-516 - 2015
- [r2]Arik Friedman, Bart P. Knijnenburg, Kris Vanhecke, Luc Martens, Shlomo Berkovsky:
Privacy Aspects of Recommender Systems. Recommender Systems Handbook 2015: 649-688 - [r1]Iván Cantador, Ignacio Fernández-Tobías, Shlomo Berkovsky, Paolo Cremonesi:
Cross-Domain Recommender Systems. Recommender Systems Handbook 2015: 919-959
Informal and Other Publications
- 2023
- [i10]Soham Rohit Chitnis, Sidong Liu, Tirtharaj Dash, Tanmay Tulsidas Verlekar, Antonio Di Ieva, Shlomo Berkovsky, Lovekesh Vig, Ashwin Srinivasan:
Domain-Specific Pretraining Improves Confidence in Whole Slide Image Classification. CoRR abs/2302.09833 (2023) - 2022
- [i9]Benjamin Tag, Niels van Berkel, Sunny Verma, Benjamin Zi Hao Zhao, Shlomo Berkovsky, Dali Kaafar, Vassilis Kostakos, Olga Ohrimenko:
DDoD: Dual Denial of Decision Attacks on Human-AI Teams. CoRR abs/2212.03980 (2022) - 2021
- [i8]I Wayan Budi Sentana, Muhammad Ikram, Mohamed Ali Kâafar, Shlomo Berkovsky:
Empirical Security and Privacy Analysis of Mobile Symptom Checking Applications on Google Play. CoRR abs/2107.13754 (2021) - 2020
- [i7]Juan C. Quiroz, Liliana Laranjo, Catalin Tufanaru, Ahmet Baki Kocaballi, Dana Rezazadegan, Shlomo Berkovsky, Enrico W. Coiera:
Empirical Analysis of Zipf's Law, Power Law, and Lognormal Distributions in Medical Discharge Reports. CoRR abs/2003.13352 (2020) - [i6]Shoujin Wang, Longbing Cao, Liang Hu, Shlomo Berkovsky, Xiaoshui Huang, Lin Xiao, Wenpeng Lu:
Jointly Modeling Intra- and Inter-transaction Dependencies with Hierarchical Attentive Transaction Embeddings for Next-item Recommendation. CoRR abs/2006.04530 (2020) - [i5]Dana Rezazadegan, Shlomo Berkovsky, Juan C. Quiroz, Ahmet Baki Kocaballi, Ying Wang, Liliana Laranjo, Enrico W. Coiera:
Automatic Speech Summarisation: A Scoping Review. CoRR abs/2008.11897 (2020) - 2017
- [i4]Shi Zong, Branislav Kveton, Shlomo Berkovsky, Azin Ashkan, Nikos Vlassis, Zheng Wen:
Does Weather Matter? Causal Analysis of TV Logs. CoRR abs/1701.08716 (2017) - [i3]Amit Tiroshi, Tsvi Kuflik, Shlomo Berkovsky, Mohamed Ali Kâafar:
Graph Based Recommendations: From Data Representation to Feature Extraction and Application. CoRR abs/1707.01250 (2017) - [i2]Gaurav Misra, Nalin Asanka Gamagedara Arachchilage, Shlomo Berkovsky:
Phish Phinder: A Game Design Approach to Enhance User Confidence in Mitigating Phishing Attacks. CoRR abs/1710.06064 (2017) - 2014
- [i1]Azin Ashkan, Branislav Kveton, Shlomo Berkovsky, Zheng Wen:
DUM: Diversity-Weighted Utility Maximization for Recommendations. CoRR abs/1411.3650 (2014)
Coauthor Index
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